example_id
int64 0
10k
| metadata
stringlengths 679
723
| classification_prompt
stringlengths 7.66k
18.5k
| classification_completion
stringclasses 14
values | classification_text
stringlengths 7.68k
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| improved_signature
stringlengths 7.3k
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| improved_model_weights
stringlengths 1.77k
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| training_metrics
stringlengths 1.46k
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0
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{"target_pattern": "sorted_descending", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9016, "learning_rate": 0.08961895813761998, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [1.662684, -1.122168, -1.534118, -3.250686, 2.662296]
std: [1.594747, 1.742667, 2.721687, 2.534637, 2.149811]
pca: [[-0.139435, 0.199104, 0.894519, 0.167691, 0.335606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381463, 0.101867, -0.325644, 0.825959, 0.236341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466697, 0.743984, -0.201792, -0.418865, 0.111864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520149, -0.607280, -0.068797, -0.333919, 0.494390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588798, 0.166372, -0.219862, -0.052168, 0.758008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.339269, 27.472834, 27.624891, 32.220471, 149.641608], [24.663523, 27.222861, 30.007381, 30.010839, 100.995164], [44.144936, 45.221512, 48.196108, 49.119491, 138.070624], [41.565948, 41.596974, 45.008291, 46.603990, 292.561715], [31.293498, 31.329796, 37.614910, 40.849836, 239.606651]]
### 2
mean: [-3.334171, 0.439072, 2.724952, -2.003832, -0.193677]
std: [1.818774, 1.664621, 2.405426, 0.991550, 0.441182]
pca: [[-0.504654, -0.502944, 0.412209, -0.561467, -0.084913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394976, 0.651072, 0.463641, 0.175344, -0.417602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.752713, -0.052000, 0.613409, -0.152977, -0.176202, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092687, -0.560466, 0.176456, 0.756151, -0.272737, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118957, 0.079538, 0.455757, 0.242575, 0.844373, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.551924, 28.108063, 31.534462, 34.053245, 300.075364], [26.675958, 26.960124, 27.105927, 28.386110, 39.516451], [36.426335, 38.875616, 39.187378, 43.386884, 245.245660], [15.011747, 15.435259, 16.296048, 21.013043, 180.344909], [6.661990, 7.659223, 8.177277, 8.793093, 17.430914]]
### 4
mean: [3.097999, 0.306475, 1.012287, -1.336377, 0.141332]
std: [2.726020, 0.940197, 1.475756, 0.408673, 1.506817]
pca: [[0.770671, -0.491181, 0.046644, 0.392246, -0.093675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.267961, -0.090254, 0.183747, -0.465995, 0.818008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.398603, 0.578521, 0.601409, -0.206539, -0.319495, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045641, 0.449217, 0.105443, 0.751671, 0.469035, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416288, -0.462723, 0.768928, 0.146028, -0.004222, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.456501, 42.248121, 46.578331, 53.374678, 278.819894], [14.274672, 15.058327, 15.690642, 18.283270, 27.582758], [21.126754, 22.504964, 25.420726, 27.110302, 91.105806], [7.063935, 7.546963, 7.608147, 7.710132, 120.273888], [21.502728, 21.837568, 22.418122, 27.371490, 27.853383]]
### 6
mean: [-1.599451, 3.249961, -1.589742, -0.354641, -0.622525]
std: [2.294462, 3.316749, 2.541162, 0.440615, 0.813227]
pca: [[-0.473933, -0.110599, 0.585623, -0.637911, 0.115195, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685415, 0.032125, 0.700280, 0.150928, 0.126504, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525271, 0.031666, 0.402006, 0.711207, -0.235929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.038805, 0.985993, 0.037113, -0.125382, -0.095993, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167863, 0.116411, -0.060563, 0.220801, 0.951761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.275436, 36.785851, 38.523804, 46.868765, 143.950578], [49.300000, 54.616105, 55.460648, 66.544689, 292.496438], [36.876759, 41.488276, 43.039400, 51.977604, 143.076754], [7.199664, 7.506771, 8.048345, 10.731586, 31.917647], [11.868840, 13.745128, 13.776729, 16.496594, 56.027209]]
### 8
mean: [1.553748, -0.692390, 2.825214, -1.513168, -0.451943]
std: [1.076018, 1.625832, 3.787247, 1.474916, 1.718633]
pca: [[0.174939, 0.805022, -0.379072, -0.132966, 0.399950, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340864, 0.178362, 0.352821, 0.764319, 0.378593, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.797394, -0.077284, 0.520249, -0.012913, 0.295575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302229, -0.400128, -0.040952, -0.401566, 0.765260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355006, 0.392493, 0.677854, -0.486533, -0.154014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.960574, 15.603174, 18.116419, 20.362542, 139.837324], [22.560559, 28.466918, 29.148525, 32.881780, 62.315126], [53.332116, 65.913898, 66.393774, 77.974230, 254.269275], [21.041428, 22.081310, 25.918652, 31.039288, 136.185134], [24.264969, 30.157252, 31.971064, 33.806497, 40.674892]]
### 10
mean: [-3.958747]
std: [3.864759]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.434847, 61.343204, 68.435954, 83.064413, 356.287279]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [1.662684, -1.122168, -1.534118, -3.250686, 2.662296]
std: [1.594747, 1.742667, 2.721687, 2.534637, 2.149811]
pca: [[-0.139435, 0.199104, 0.894519, 0.167691, 0.335606, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381463, 0.101867, -0.325644, 0.825959, 0.236341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466697, 0.743984, -0.201792, -0.418865, 0.111864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520149, -0.607280, -0.068797, -0.333919, 0.494390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588798, 0.166372, -0.219862, -0.052168, 0.758008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.339269, 27.472834, 27.624891, 32.220471, 149.641608], [24.663523, 27.222861, 30.007381, 30.010839, 100.995164], [44.144936, 45.221512, 48.196108, 49.119491, 138.070624], [41.565948, 41.596974, 45.008291, 46.603990, 292.561715], [31.293498, 31.329796, 37.614910, 40.849836, 239.606651]]
### 2
mean: [-3.334171, 0.439072, 2.724952, -2.003832, -0.193677]
std: [1.818774, 1.664621, 2.405426, 0.991550, 0.441182]
pca: [[-0.504654, -0.502944, 0.412209, -0.561467, -0.084913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394976, 0.651072, 0.463641, 0.175344, -0.417602, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.752713, -0.052000, 0.613409, -0.152977, -0.176202, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092687, -0.560466, 0.176456, 0.756151, -0.272737, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118957, 0.079538, 0.455757, 0.242575, 0.844373, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.551924, 28.108063, 31.534462, 34.053245, 300.075364], [26.675958, 26.960124, 27.105927, 28.386110, 39.516451], [36.426335, 38.875616, 39.187378, 43.386884, 245.245660], [15.011747, 15.435259, 16.296048, 21.013043, 180.344909], [6.661990, 7.659223, 8.177277, 8.793093, 17.430914]]
### 4
mean: [3.097999, 0.306475, 1.012287, -1.336377, 0.141332]
std: [2.726020, 0.940197, 1.475756, 0.408673, 1.506817]
pca: [[0.770671, -0.491181, 0.046644, 0.392246, -0.093675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.267961, -0.090254, 0.183747, -0.465995, 0.818008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.398603, 0.578521, 0.601409, -0.206539, -0.319495, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045641, 0.449217, 0.105443, 0.751671, 0.469035, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416288, -0.462723, 0.768928, 0.146028, -0.004222, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.456501, 42.248121, 46.578331, 53.374678, 278.819894], [14.274672, 15.058327, 15.690642, 18.283270, 27.582758], [21.126754, 22.504964, 25.420726, 27.110302, 91.105806], [7.063935, 7.546963, 7.608147, 7.710132, 120.273888], [21.502728, 21.837568, 22.418122, 27.371490, 27.853383]]
### 6
mean: [-1.599451, 3.249961, -1.589742, -0.354641, -0.622525]
std: [2.294462, 3.316749, 2.541162, 0.440615, 0.813227]
pca: [[-0.473933, -0.110599, 0.585623, -0.637911, 0.115195, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685415, 0.032125, 0.700280, 0.150928, 0.126504, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.525271, 0.031666, 0.402006, 0.711207, -0.235929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.038805, 0.985993, 0.037113, -0.125382, -0.095993, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167863, 0.116411, -0.060563, 0.220801, 0.951761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.275436, 36.785851, 38.523804, 46.868765, 143.950578], [49.300000, 54.616105, 55.460648, 66.544689, 292.496438], [36.876759, 41.488276, 43.039400, 51.977604, 143.076754], [7.199664, 7.506771, 8.048345, 10.731586, 31.917647], [11.868840, 13.745128, 13.776729, 16.496594, 56.027209]]
### 8
mean: [1.553748, -0.692390, 2.825214, -1.513168, -0.451943]
std: [1.076018, 1.625832, 3.787247, 1.474916, 1.718633]
pca: [[0.174939, 0.805022, -0.379072, -0.132966, 0.399950, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340864, 0.178362, 0.352821, 0.764319, 0.378593, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.797394, -0.077284, 0.520249, -0.012913, 0.295575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302229, -0.400128, -0.040952, -0.401566, 0.765260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355006, 0.392493, 0.677854, -0.486533, -0.154014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.960574, 15.603174, 18.116419, 20.362542, 139.837324], [22.560559, 28.466918, 29.148525, 32.881780, 62.315126], [53.332116, 65.913898, 66.393774, 77.974230, 254.269275], [21.041428, 22.081310, 25.918652, 31.039288, 136.185134], [24.264969, 30.157252, 31.971064, 33.806497, 40.674892]]
### 10
mean: [-3.958747]
std: [3.864759]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.434847, 61.343204, 68.435954, 83.064413, 356.287279]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.723235, 0.148694, -0.035862, -0.03259, 0.093569], [0.391537, -0.745309, 0.404238, -0.15881, -0.46019], [0.541115, -0.73984, 0.102558, -0.645988, 0.76426], [0.456313, -0.277676, -0.774307, -0.292525, -0.852123], [-0.730123, 0.308654, 0.326991, 0.497972, 0.545093]], "network.0.bias": [0.521104, -0.187577, -0.630886, -0.01686, 0.585256], "network.2.weight": [[-0.153712, -0.12565, -0.177129, -0.76078, -0.92976], [0.769158, -0.79268, -0.943785, -0.402095, -0.204646], [-0.454578, 0.044937, 1.066668, -0.360359, 0.957029], [-0.505064, -0.089674, 0.361554, 0.77419, -0.410479], [0.079615, -0.26556, -0.241345, -0.343229, -0.123966]], "network.2.bias": [-0.507592, 0.198097, 0.512732, -0.214669, 0.129683], "network.4.weight": [[0.174864, -0.332569, 1.126539, -0.553297, 0.289136], [-0.326837, -0.189873, 0.363447, 0.11813, 0.12124], [-0.664838, -0.766461, 0.266763, -0.413591, -0.631465], [0.039711, -0.24691, -0.230778, -0.546928, -0.653657], [-0.880117, 0.738277, -0.290296, -0.22503, 0.42476]], "network.4.bias": [0.107649, -0.59472, 0.72518, -0.556823, 0.404809], "network.6.weight": [[-0.281714, -0.191556, -1.202557, -0.223292, 0.388938], [0.711024, 0.355352, 0.680397, -1.047818, -0.778648], [-0.344596, -0.036778, -1.247133, -1.082146, 0.525291], [0.048334, 0.606145, -0.384974, 0.467213, 0.332925], [-0.154895, 0.042389, -0.285053, 0.295761, 0.20564]], "network.6.bias": [0.623291, 0.285332, 0.644558, -0.431783, 0.126593], "network.8.weight": [[0.222015, 0.439799, 0.052769, 0.37917, 0.850414], [0.655353, -0.345513, 0.401273, 0.082408, -0.000325], [-0.817743, 0.911252, -0.906102, -0.096952, -0.722548], [-0.185509, -0.468356, 0.423197, -0.184445, -0.185097], [0.440138, -0.290368, 0.800623, -0.068773, 0.327491]], "network.8.bias": [-0.073364, 0.139005, 0.279215, 0.001123, 0.069187], "network.10.weight": [[-0.337305, 0.378797, -1.028849, 0.073284, 0.522391]], "network.10.bias": [-0.302506]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6872678399085999, "train_acc": 0.565, "val_loss": 0.6929798722267151, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6848097145557404, "train_acc": 0.565, "val_loss": 0.6892448663711548, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6655442714691162, "train_acc": 0.565, "val_loss": 0.6018325090408325, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.48938608169555664, "train_acc": 0.8, "val_loss": 0.35439562797546387, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.39331062138080597, "train_acc": 0.865, "val_loss": 0.4324084520339966, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3482593595981598, "train_acc": 0.88, "val_loss": 0.26957011222839355, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.25007276237010956, "train_acc": 0.92, "val_loss": 0.2319476157426834, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.25956736505031586, "train_acc": 0.905, "val_loss": 0.23510055243968964, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2428145781159401, "train_acc": 0.925, "val_loss": 0.24784332513809204, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2086336687207222, "train_acc": 0.925, "val_loss": 0.21202822029590607, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.23018677532672882, "train_acc": 0.94, "val_loss": 0.24974054098129272, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.19513949751853943, "train_acc": 0.945, "val_loss": 0.2997385263442993, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1886579692363739, "train_acc": 0.95, "val_loss": 0.1947852522134781, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6929798722267151, "final_val_loss": 0.6018325090408325, "initial_val_acc": 0.52, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.35439562797546387, "final_val_loss": 0.1947852522134781, "initial_val_acc": 0.84, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
1
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2679, "learning_rate": 0.03008896643339405, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.4.weight": [
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[
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[
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[
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[
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"network.8.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.165154, 1.489974, 0.927827, 1.473719, 0.081816, 1.782892, 1.037302]
std: [1.655208, 1.797759, 1.352474, 1.477002, 1.442375, 1.539947, 1.689929]
pca: [[0.476895, -0.103784, -0.168692, -0.333821, 0.596661, -0.078878, -0.509589, 0.000000, 0.000000, 0.000000], [0.475799, 0.197630, -0.051278, 0.670358, -0.281077, -0.342930, -0.293162, 0.000000, 0.000000, 0.000000], [-0.276367, 0.183235, 0.731688, 0.246894, 0.485784, -0.219791, -0.097095, 0.000000, 0.000000, 0.000000], [0.425906, -0.044766, 0.140410, 0.340002, 0.261921, 0.707090, 0.335715, 0.000000, 0.000000, 0.000000], [0.000511, 0.729004, -0.395061, -0.020875, 0.330247, -0.183382, 0.411523, 0.000000, 0.000000, 0.000000], [0.262818, 0.560890, 0.411381, -0.443676, -0.384672, 0.247501, -0.202524, 0.000000, 0.000000, 0.000000], [0.468335, -0.261814, 0.297529, -0.255620, -0.058029, -0.482708, 0.567342, 0.000000, 0.000000, 0.000000]]
fourier: [[26.698355, 29.700380, 31.232834, 32.875564, 104.863816], [30.492579, 31.663515, 37.992999, 38.204933, 134.097651], [19.241855, 21.993657, 22.518877, 23.722246, 83.504450], [25.603760, 26.712906, 29.803081, 32.617929, 132.634694], [20.116044, 20.550117, 21.095018, 21.279287, 24.941410], [24.222441, 26.103092, 27.394443, 29.761115, 160.460305], [26.435399, 28.456994, 31.125244, 34.088202, 93.357221]]
### 2
mean: [1.067121, 2.711805, 1.910596, 1.996598, -0.911872, -2.338263, 0.628018]
std: [0.779283, 3.074395, 2.880107, 1.740880, 1.436347, 2.014948, 1.090673]
pca: [[-0.017359, 0.362971, 0.856842, 0.036474, 0.095045, 0.332298, -0.113962, 0.000000, 0.000000, 0.000000], [0.597456, 0.247998, -0.036339, 0.627469, -0.398569, -0.134417, -0.097874, 0.000000, 0.000000, 0.000000], [0.559410, -0.292605, -0.138296, 0.028218, 0.533117, 0.545081, -0.013927, 0.000000, 0.000000, 0.000000], [0.335676, -0.175824, 0.243423, -0.325533, -0.319824, -0.027872, 0.766888, 0.000000, 0.000000, 0.000000], [-0.248598, -0.402693, 0.249069, 0.631401, 0.354212, -0.268193, 0.343425, 0.000000, 0.000000, 0.000000], [-0.391878, 0.125746, -0.265087, 0.315429, -0.298042, 0.685746, 0.319025, 0.000000, 0.000000, 0.000000], [0.041926, 0.715712, -0.231981, -0.004516, 0.480950, -0.177328, 0.411588, 0.000000, 0.000000, 0.000000]]
fourier: [[11.997209, 12.282698, 12.679679, 14.629062, 96.040853], [55.815559, 57.359893, 57.794680, 64.703827, 244.062498], [48.554671, 53.984345, 59.586832, 62.459675, 171.953655], [32.224859, 32.749853, 36.741082, 37.961971, 179.693805], [24.639957, 25.714008, 26.908783, 31.852170, 82.068447], [36.812031, 37.130416, 43.049130, 43.745994, 210.443672], [16.142933, 17.438400, 17.603751, 26.528037, 56.521588]]
### 4
mean: [2.422910, -2.084970, 1.010745, -1.698117, 2.815175, 1.317059, 1.508247]
std: [3.669974, 1.824108, 1.645990, 2.073534, 3.853409, 0.833031, 2.103228]
pca: [[0.560100, -0.087292, 0.015124, -0.110166, -0.378230, 0.393377, 0.607041, 0.000000, 0.000000, 0.000000], [-0.273330, 0.049875, 0.847568, -0.089335, 0.255552, 0.031652, 0.360752, 0.000000, 0.000000, 0.000000], [0.250438, 0.100156, 0.087063, 0.627805, 0.409409, 0.559334, -0.212275, 0.000000, 0.000000, 0.000000], [-0.315883, -0.121841, -0.085007, -0.573631, 0.039549, 0.695058, -0.253821, 0.000000, 0.000000, 0.000000], [0.588034, -0.054206, 0.021322, -0.475684, 0.603607, -0.211811, -0.123867, 0.000000, 0.000000, 0.000000], [-0.044823, 0.953236, -0.179068, -0.150294, 0.070352, 0.056300, 0.162968, 0.000000, 0.000000, 0.000000], [0.318252, 0.231125, 0.483811, -0.088480, -0.503154, -0.016104, -0.591584, 0.000000, 0.000000, 0.000000]]
fourier: [[61.004155, 70.827022, 71.797672, 80.558211, 218.061918], [33.073392, 33.237177, 34.781154, 40.230463, 187.647297], [28.153104, 32.609071, 34.342980, 35.074372, 90.967078], [34.999661, 40.198722, 42.277676, 44.911468, 152.830566], [64.254228, 74.995723, 75.543470, 82.896252, 253.365748], [11.905407, 12.218195, 14.977504, 19.311550, 118.535276], [33.964370, 40.248986, 42.810452, 44.809335, 135.742226]]
### 6
mean: [3.732751, -0.648268, -0.610204, 2.599134, -1.648307, -1.090420, -1.308473]
std: [5.581426, 0.947921, 0.344745, 4.233980, 1.221149, 0.667652, 1.321486]
pca: [[0.762307, -0.150009, 0.335968, -0.211740, 0.240898, -0.266189, -0.331343, 0.000000, 0.000000, 0.000000], [-0.127533, -0.385088, 0.394437, 0.434301, -0.341434, 0.333813, -0.513066, 0.000000, 0.000000, 0.000000], [-0.046256, -0.074078, 0.580350, 0.353844, 0.459659, 0.080294, 0.559131, 0.000000, 0.000000, 0.000000], [0.577861, 0.407577, -0.115949, 0.257641, -0.290729, 0.535416, 0.221225, 0.000000, 0.000000, 0.000000], [-0.164264, 0.494733, 0.609016, -0.350115, -0.455001, -0.162021, 0.038718, 0.000000, 0.000000, 0.000000], [-0.084701, 0.599366, -0.049123, 0.538979, 0.280185, -0.316344, -0.402613, 0.000000, 0.000000, 0.000000], [-0.180009, 0.231511, 0.089336, -0.402350, 0.494016, 0.631088, -0.319076, 0.000000, 0.000000, 0.000000]]
fourier: [[91.376612, 105.082174, 110.274278, 121.265162, 335.947579], [16.523976, 16.530338, 18.785554, 20.842078, 58.344131], [5.527150, 5.625366, 6.858514, 7.163036, 54.918349], [70.434706, 77.900199, 83.861068, 92.763767, 233.922066], [22.412499, 23.330249, 23.490524, 25.204005, 148.347599], [12.089480, 12.188549, 13.079582, 13.396868, 98.137794], [22.580349, 24.816328, 25.781055, 28.371937, 117.762544]]
### 8
mean: [-1.304851, -1.657260, -0.985331, 0.096487, 3.850334, -2.286557, 3.880360]
std: [1.552040, 2.093476, 1.463957, 0.665255, 5.182889, 2.562312, 5.099602]
pca: [[-0.187038, 0.592583, -0.236192, 0.046996, 0.533685, 0.458153, -0.247273, 0.000000, 0.000000, 0.000000], [-0.252351, -0.179285, -0.610729, -0.418529, 0.154374, -0.011869, 0.576236, 0.000000, 0.000000, 0.000000], [-0.176436, -0.153540, 0.670374, 0.037946, 0.451209, 0.210635, 0.496485, 0.000000, 0.000000, 0.000000], [-0.080172, -0.251115, 0.069596, -0.295967, -0.433261, 0.797174, -0.121952, 0.000000, 0.000000, 0.000000], [0.624821, 0.543833, 0.132153, -0.356702, -0.170047, 0.054438, 0.370493, 0.000000, 0.000000, 0.000000], [-0.308894, 0.322993, -0.092163, 0.610105, -0.462534, 0.120717, 0.437067, 0.000000, 0.000000, 0.000000], [0.614786, -0.360543, -0.301694, 0.483864, 0.239147, 0.304246, 0.130940, 0.000000, 0.000000, 0.000000]]
fourier: [[26.003003, 28.067463, 30.776484, 33.198200, 117.436571], [35.351165, 38.439270, 41.358493, 44.917249, 149.153377], [24.094385, 26.447884, 28.909705, 31.832154, 88.679771], [10.710806, 11.100954, 12.196413, 13.106605, 14.418706], [86.751433, 94.662629, 102.384324, 111.768353, 346.530086], [42.841557, 46.535498, 50.715729, 55.100914, 205.790114], [85.020126, 92.556035, 100.889648, 109.920998, 349.232377]]
### 10
mean: [0.006979, 2.625640, -1.575768, 3.242582, -0.652764, -2.519723, 0.014078]
std: [1.011417, 3.612183, 1.448498, 4.285143, 0.485772, 2.632771, 0.815996]
pca: [[-0.154973, 0.614195, -0.037045, 0.117603, 0.178969, 0.216603, 0.710351, 0.000000, 0.000000, 0.000000], [0.555037, -0.334306, 0.352102, 0.148020, -0.412823, -0.017611, 0.513377, 0.000000, 0.000000, 0.000000], [-0.222475, -0.348010, -0.303607, 0.800063, 0.006586, 0.311475, 0.007442, 0.000000, 0.000000, 0.000000], [0.658487, -0.004816, -0.326599, 0.111411, 0.650994, -0.153216, -0.004951, 0.000000, 0.000000, 0.000000], [-0.074321, -0.350598, 0.426378, -0.259385, 0.478521, 0.625973, 0.040669, 0.000000, 0.000000, 0.000000], [-0.404460, -0.493499, -0.157911, -0.193900, 0.242356, -0.512196, 0.457445, 0.000000, 0.000000, 0.000000], [-0.125325, 0.153002, 0.684889, 0.454828, 0.293244, -0.422012, -0.144415, 0.000000, 0.000000, 0.000000]]
fourier: [[15.386515, 16.461649, 19.132544, 20.668368, 21.611780], [59.953287, 66.109411, 71.905967, 77.905663, 236.307633], [24.372874, 25.917173, 28.331449, 31.318444, 141.819110], [71.445982, 78.032761, 84.797009, 92.592283, 291.832338], [8.288565, 8.399311, 9.125810, 10.589971, 58.748789], [44.117964, 47.251823, 51.550723, 56.984171, 226.775101], [12.841876, 13.627463, 15.150104, 16.274313, 17.616624]]
### 12
mean: [-2.479802]
std: [3.980276]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.647945, 74.184809, 80.010749, 85.449517, 223.182212]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.30837,
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-0.327621,
0.637576
],
[
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0.40406,
0.03318,
0.557385
],
[
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0.207551,
0.516158,
-0.50644
],
[
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-0.081993,
0.281254,
-0.055522,
0.369258
],
[
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0.016385,
0.200766,
0.555014
],
[
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## Activation Signature
### 0
mean: [1.165154, 1.489974, 0.927827, 1.473719, 0.081816, 1.782892, 1.037302]
std: [1.655208, 1.797759, 1.352474, 1.477002, 1.442375, 1.539947, 1.689929]
pca: [[0.476895, -0.103784, -0.168692, -0.333821, 0.596661, -0.078878, -0.509589, 0.000000, 0.000000, 0.000000], [0.475799, 0.197630, -0.051278, 0.670358, -0.281077, -0.342930, -0.293162, 0.000000, 0.000000, 0.000000], [-0.276367, 0.183235, 0.731688, 0.246894, 0.485784, -0.219791, -0.097095, 0.000000, 0.000000, 0.000000], [0.425906, -0.044766, 0.140410, 0.340002, 0.261921, 0.707090, 0.335715, 0.000000, 0.000000, 0.000000], [0.000511, 0.729004, -0.395061, -0.020875, 0.330247, -0.183382, 0.411523, 0.000000, 0.000000, 0.000000], [0.262818, 0.560890, 0.411381, -0.443676, -0.384672, 0.247501, -0.202524, 0.000000, 0.000000, 0.000000], [0.468335, -0.261814, 0.297529, -0.255620, -0.058029, -0.482708, 0.567342, 0.000000, 0.000000, 0.000000]]
fourier: [[26.698355, 29.700380, 31.232834, 32.875564, 104.863816], [30.492579, 31.663515, 37.992999, 38.204933, 134.097651], [19.241855, 21.993657, 22.518877, 23.722246, 83.504450], [25.603760, 26.712906, 29.803081, 32.617929, 132.634694], [20.116044, 20.550117, 21.095018, 21.279287, 24.941410], [24.222441, 26.103092, 27.394443, 29.761115, 160.460305], [26.435399, 28.456994, 31.125244, 34.088202, 93.357221]]
### 2
mean: [1.067121, 2.711805, 1.910596, 1.996598, -0.911872, -2.338263, 0.628018]
std: [0.779283, 3.074395, 2.880107, 1.740880, 1.436347, 2.014948, 1.090673]
pca: [[-0.017359, 0.362971, 0.856842, 0.036474, 0.095045, 0.332298, -0.113962, 0.000000, 0.000000, 0.000000], [0.597456, 0.247998, -0.036339, 0.627469, -0.398569, -0.134417, -0.097874, 0.000000, 0.000000, 0.000000], [0.559410, -0.292605, -0.138296, 0.028218, 0.533117, 0.545081, -0.013927, 0.000000, 0.000000, 0.000000], [0.335676, -0.175824, 0.243423, -0.325533, -0.319824, -0.027872, 0.766888, 0.000000, 0.000000, 0.000000], [-0.248598, -0.402693, 0.249069, 0.631401, 0.354212, -0.268193, 0.343425, 0.000000, 0.000000, 0.000000], [-0.391878, 0.125746, -0.265087, 0.315429, -0.298042, 0.685746, 0.319025, 0.000000, 0.000000, 0.000000], [0.041926, 0.715712, -0.231981, -0.004516, 0.480950, -0.177328, 0.411588, 0.000000, 0.000000, 0.000000]]
fourier: [[11.997209, 12.282698, 12.679679, 14.629062, 96.040853], [55.815559, 57.359893, 57.794680, 64.703827, 244.062498], [48.554671, 53.984345, 59.586832, 62.459675, 171.953655], [32.224859, 32.749853, 36.741082, 37.961971, 179.693805], [24.639957, 25.714008, 26.908783, 31.852170, 82.068447], [36.812031, 37.130416, 43.049130, 43.745994, 210.443672], [16.142933, 17.438400, 17.603751, 26.528037, 56.521588]]
### 4
mean: [2.422910, -2.084970, 1.010745, -1.698117, 2.815175, 1.317059, 1.508247]
std: [3.669974, 1.824108, 1.645990, 2.073534, 3.853409, 0.833031, 2.103228]
pca: [[0.560100, -0.087292, 0.015124, -0.110166, -0.378230, 0.393377, 0.607041, 0.000000, 0.000000, 0.000000], [-0.273330, 0.049875, 0.847568, -0.089335, 0.255552, 0.031652, 0.360752, 0.000000, 0.000000, 0.000000], [0.250438, 0.100156, 0.087063, 0.627805, 0.409409, 0.559334, -0.212275, 0.000000, 0.000000, 0.000000], [-0.315883, -0.121841, -0.085007, -0.573631, 0.039549, 0.695058, -0.253821, 0.000000, 0.000000, 0.000000], [0.588034, -0.054206, 0.021322, -0.475684, 0.603607, -0.211811, -0.123867, 0.000000, 0.000000, 0.000000], [-0.044823, 0.953236, -0.179068, -0.150294, 0.070352, 0.056300, 0.162968, 0.000000, 0.000000, 0.000000], [0.318252, 0.231125, 0.483811, -0.088480, -0.503154, -0.016104, -0.591584, 0.000000, 0.000000, 0.000000]]
fourier: [[61.004155, 70.827022, 71.797672, 80.558211, 218.061918], [33.073392, 33.237177, 34.781154, 40.230463, 187.647297], [28.153104, 32.609071, 34.342980, 35.074372, 90.967078], [34.999661, 40.198722, 42.277676, 44.911468, 152.830566], [64.254228, 74.995723, 75.543470, 82.896252, 253.365748], [11.905407, 12.218195, 14.977504, 19.311550, 118.535276], [33.964370, 40.248986, 42.810452, 44.809335, 135.742226]]
### 6
mean: [3.732751, -0.648268, -0.610204, 2.599134, -1.648307, -1.090420, -1.308473]
std: [5.581426, 0.947921, 0.344745, 4.233980, 1.221149, 0.667652, 1.321486]
pca: [[0.762307, -0.150009, 0.335968, -0.211740, 0.240898, -0.266189, -0.331343, 0.000000, 0.000000, 0.000000], [-0.127533, -0.385088, 0.394437, 0.434301, -0.341434, 0.333813, -0.513066, 0.000000, 0.000000, 0.000000], [-0.046256, -0.074078, 0.580350, 0.353844, 0.459659, 0.080294, 0.559131, 0.000000, 0.000000, 0.000000], [0.577861, 0.407577, -0.115949, 0.257641, -0.290729, 0.535416, 0.221225, 0.000000, 0.000000, 0.000000], [-0.164264, 0.494733, 0.609016, -0.350115, -0.455001, -0.162021, 0.038718, 0.000000, 0.000000, 0.000000], [-0.084701, 0.599366, -0.049123, 0.538979, 0.280185, -0.316344, -0.402613, 0.000000, 0.000000, 0.000000], [-0.180009, 0.231511, 0.089336, -0.402350, 0.494016, 0.631088, -0.319076, 0.000000, 0.000000, 0.000000]]
fourier: [[91.376612, 105.082174, 110.274278, 121.265162, 335.947579], [16.523976, 16.530338, 18.785554, 20.842078, 58.344131], [5.527150, 5.625366, 6.858514, 7.163036, 54.918349], [70.434706, 77.900199, 83.861068, 92.763767, 233.922066], [22.412499, 23.330249, 23.490524, 25.204005, 148.347599], [12.089480, 12.188549, 13.079582, 13.396868, 98.137794], [22.580349, 24.816328, 25.781055, 28.371937, 117.762544]]
### 8
mean: [-1.304851, -1.657260, -0.985331, 0.096487, 3.850334, -2.286557, 3.880360]
std: [1.552040, 2.093476, 1.463957, 0.665255, 5.182889, 2.562312, 5.099602]
pca: [[-0.187038, 0.592583, -0.236192, 0.046996, 0.533685, 0.458153, -0.247273, 0.000000, 0.000000, 0.000000], [-0.252351, -0.179285, -0.610729, -0.418529, 0.154374, -0.011869, 0.576236, 0.000000, 0.000000, 0.000000], [-0.176436, -0.153540, 0.670374, 0.037946, 0.451209, 0.210635, 0.496485, 0.000000, 0.000000, 0.000000], [-0.080172, -0.251115, 0.069596, -0.295967, -0.433261, 0.797174, -0.121952, 0.000000, 0.000000, 0.000000], [0.624821, 0.543833, 0.132153, -0.356702, -0.170047, 0.054438, 0.370493, 0.000000, 0.000000, 0.000000], [-0.308894, 0.322993, -0.092163, 0.610105, -0.462534, 0.120717, 0.437067, 0.000000, 0.000000, 0.000000], [0.614786, -0.360543, -0.301694, 0.483864, 0.239147, 0.304246, 0.130940, 0.000000, 0.000000, 0.000000]]
fourier: [[26.003003, 28.067463, 30.776484, 33.198200, 117.436571], [35.351165, 38.439270, 41.358493, 44.917249, 149.153377], [24.094385, 26.447884, 28.909705, 31.832154, 88.679771], [10.710806, 11.100954, 12.196413, 13.106605, 14.418706], [86.751433, 94.662629, 102.384324, 111.768353, 346.530086], [42.841557, 46.535498, 50.715729, 55.100914, 205.790114], [85.020126, 92.556035, 100.889648, 109.920998, 349.232377]]
### 10
mean: [0.006979, 2.625640, -1.575768, 3.242582, -0.652764, -2.519723, 0.014078]
std: [1.011417, 3.612183, 1.448498, 4.285143, 0.485772, 2.632771, 0.815996]
pca: [[-0.154973, 0.614195, -0.037045, 0.117603, 0.178969, 0.216603, 0.710351, 0.000000, 0.000000, 0.000000], [0.555037, -0.334306, 0.352102, 0.148020, -0.412823, -0.017611, 0.513377, 0.000000, 0.000000, 0.000000], [-0.222475, -0.348010, -0.303607, 0.800063, 0.006586, 0.311475, 0.007442, 0.000000, 0.000000, 0.000000], [0.658487, -0.004816, -0.326599, 0.111411, 0.650994, -0.153216, -0.004951, 0.000000, 0.000000, 0.000000], [-0.074321, -0.350598, 0.426378, -0.259385, 0.478521, 0.625973, 0.040669, 0.000000, 0.000000, 0.000000], [-0.404460, -0.493499, -0.157911, -0.193900, 0.242356, -0.512196, 0.457445, 0.000000, 0.000000, 0.000000], [-0.125325, 0.153002, 0.684889, 0.454828, 0.293244, -0.422012, -0.144415, 0.000000, 0.000000, 0.000000]]
fourier: [[15.386515, 16.461649, 19.132544, 20.668368, 21.611780], [59.953287, 66.109411, 71.905967, 77.905663, 236.307633], [24.372874, 25.917173, 28.331449, 31.318444, 141.819110], [71.445982, 78.032761, 84.797009, 92.592283, 291.832338], [8.288565, 8.399311, 9.125810, 10.589971, 58.748789], [44.117964, 47.251823, 51.550723, 56.984171, 226.775101], [12.841876, 13.627463, 15.150104, 16.274313, 17.616624]]
### 12
mean: [-2.479802]
std: [3.980276]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.647945, 74.184809, 80.010749, 85.449517, 223.182212]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.363811, 0.30837, -0.057852, -0.327621, 0.637576], [0.398949, -0.371709, 0.40406, 0.03318, 0.557385], [-0.166027, -0.10407, 0.207551, 0.516158, -0.50644], [0.446042, -0.081993, 0.281254, -0.055522, 0.369258], [-0.465314, -0.138336, 0.016385, 0.200766, 0.555014], [0.097662, 0.144082, -0.126004, 0.392236, 0.593542], [0.612951, 0.267391, -0.030943, -0.161546, 0.364812]], "network.0.bias": [0.18756, 0.068211, 0.408264, 0.144192, -0.236323, 0.088852, -0.251598], "network.2.weight": [[0.117747, 0.033111, 0.572702, 0.431288, -0.621179, 0.098447, -0.285633], [0.597502, 0.35115, -0.249636, 0.28857, 0.095608, 0.08674, 0.716953], [0.646757, 0.014054, -0.558019, 0.257887, 0.483559, 0.45041, 0.419494], [0.319699, 0.078293, -0.112349, 0.163355, 0.439589, 0.257439, 0.31435], [-0.144528, -0.657671, 0.062263, -0.181881, -0.085183, 0.265287, -0.041105], [-0.256867, -0.128988, 0.236629, -0.287468, -0.286744, -0.38846, -0.302721], [-0.074913, 0.489333, 0.052476, 0.438431, -0.640302, -0.33108, -0.278395]], "network.2.bias": [0.073542, 0.146754, -0.307473, 0.257323, 0.152803, -0.410207, 0.494632], "network.4.weight": [[-0.481392, 0.406732, 0.742273, 0.283218, 0.00927, -0.294848, -0.333664], [-0.197478, -0.049061, -0.389899, -0.421041, -0.220689, 0.169451, 0.359175], [-0.224632, 0.15841, 0.096546, 0.497085, -0.31083, -0.276197, 0.010193], [0.256569, -0.145033, -0.366096, -0.353945, 0.133827, 0.26132, -0.047853], [-0.364065, 0.531781, 0.743954, 0.173912, -0.503415, -0.158222, -0.522323], [0.537094, 0.083264, -0.214697, 0.029792, 0.333195, -0.185538, 0.555337], [-0.419687, 0.304387, 0.431431, -0.020816, 0.126213, -0.353438, 0.155895]], "network.4.bias": [-0.055359, -0.312834, -0.342214, -0.071117, 0.29899, 0.420534, 0.113145], "network.6.weight": [[0.433798, 0.101159, 0.343026, -0.210661, 0.741087, -0.407816, 0.371085], [-0.183726, -0.205893, -0.269014, 0.104913, -0.096606, 0.233798, 0.265597], [-0.300692, -0.012717, 0.19471, 0.054434, -0.01625, -0.008649, 0.233479], [0.425925, 0.403458, 0.307976, 0.197776, 0.526956, -0.56818, 0.110569], [-0.293196, 0.286321, 0.188573, -0.31646, -0.182767, -0.214505, 0.06327], [-0.079117, 0.063085, 0.333313, 0.281314, -0.183448, -0.29305, -0.123676], [-0.320039, 0.055494, 0.230204, -0.11181, -0.069405, -0.017692, -0.162071]], "network.6.bias": [-0.118064, -0.295796, -0.348552, 0.077765, -0.332249, -0.134236, -0.212899], "network.8.weight": [[-0.086057, -0.335684, 0.125762, -0.283474, -0.271263, 0.333773, 0.095246], [-0.369533, -0.270157, 0.175573, -0.038045, 0.347483, -0.242982, 0.335416], [-0.12791, 0.268845, 0.072063, -0.197577, 0.257447, -0.170965, -0.103322], [-0.127652, 0.082111, -0.310366, 0.003682, 0.043245, -0.226822, 0.285232], [0.764636, 0.073325, -0.103626, 0.290439, 0.21981, 0.260222, 0.264146], [-0.250237, -0.229891, 0.194832, -0.318405, -0.241555, -0.086093, 0.182887], [0.500615, 0.17182, 0.368907, 0.626968, 0.329017, 0.36976, -0.148254]], "network.8.bias": [-0.086177, -0.01586, 0.11234, 0.602893, -0.149874, -0.298081, -0.050796], "network.10.weight": [[-0.059202, 0.223875, 0.005126, 0.573704, 0.048476, -0.376752, -0.219132], [0.077019, 0.254824, -0.165334, -0.41936, 0.121238, 0.329741, 0.565482], [-0.296024, -0.241607, -0.290271, -0.130355, -0.195542, 0.102516, -0.096706], [0.336736, -0.365908, -0.364731, -0.159286, 0.50896, -0.284448, 0.317276], [-0.096633, -0.148881, 0.232126, -0.31614, -0.252751, 0.027758, 0.146931], [0.031207, 0.024087, 0.174964, -0.327612, -0.286967, 0.259192, -0.24198], [0.026118, -0.029331, 0.056746, 0.203173, -0.336845, 0.110608, 0.189965]], "network.10.bias": [0.474429, 0.102724, -0.368625, 0.093123, -0.143395, -0.353475, 0.51989], "network.12.weight": [[0.469468, -0.388394, -0.174659, -0.54624, 0.000808, 0.006974, 0.437325]], "network.12.bias": [-0.008085]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.678806722164154, "train_acc": 0.58, "val_loss": 0.7120968699455261, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.678398996591568, "train_acc": 0.58, "val_loss": 0.7120597958564758, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6796444654464722, "train_acc": 0.58, "val_loss": 0.6994892954826355, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6600531339645386, "train_acc": 0.58, "val_loss": 0.6619260311126709, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.647042989730835, "train_acc": 0.505, "val_loss": 0.5627245903015137, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5618963539600372, "train_acc": 0.575, "val_loss": 0.44926032423973083, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4635019898414612, "train_acc": 0.83, "val_loss": 0.3618110716342926, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.408489853143692, "train_acc": 0.84, "val_loss": 0.31284525990486145, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3704707622528076, "train_acc": 0.84, "val_loss": 0.27542248368263245, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.36919014155864716, "train_acc": 0.845, "val_loss": 0.2531663775444031, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3340695947408676, "train_acc": 0.855, "val_loss": 0.38814613223075867, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.35171355307102203, "train_acc": 0.855, "val_loss": 0.2710587680339813, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.36843225359916687, "train_acc": 0.855, "val_loss": 0.20432095229625702, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.33419349789619446, "train_acc": 0.855, "val_loss": 0.21394413709640503, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7120968699455261, "final_val_loss": 0.6619260311126709, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5627245903015137, "final_val_loss": 0.21394413709640503, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.45999999999999996, "first_improvement_epoch": 3}}
|
2
|
{"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9451, "learning_rate": 0.07352170370310572, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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[
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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0.711041,
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],
[
0.316988,
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[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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"network.6.weight": [
[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.086291, -2.114761, -1.033208, 0.079286, 2.422832, -0.417565, -1.790624]
std: [1.600304, 2.039458, 1.141797, 1.991950, 1.626940, 1.040294, 2.243515]
pca: [[-0.335274, -0.129240, 0.633967, 0.058881, -0.190209, 0.388992, -0.527269, 0.000000, 0.000000, 0.000000], [0.124285, 0.792916, 0.381325, 0.110486, 0.404305, -0.170909, -0.074493, 0.000000, 0.000000, 0.000000], [-0.140846, 0.231235, 0.190180, -0.652576, -0.144625, 0.397805, 0.534325, 0.000000, 0.000000, 0.000000], [-0.444360, 0.354046, -0.620542, 0.049245, 0.148513, 0.438035, -0.275257, 0.000000, 0.000000, 0.000000], [-0.413779, -0.335401, 0.170177, 0.261630, 0.667005, 0.092455, 0.406742, 0.000000, 0.000000, 0.000000], [0.047404, 0.205624, 0.044466, 0.698095, -0.451187, 0.286396, 0.424930, 0.000000, 0.000000, 0.000000], [0.693823, -0.144871, -0.022326, 0.016061, 0.330030, 0.615452, -0.095729, 0.000000, 0.000000, 0.000000]]
fourier: [[24.404501, 26.297405, 27.819125, 28.097119, 187.766172], [32.877138, 33.291828, 35.612435, 38.124288, 190.328536], [18.127157, 18.618158, 20.345100, 22.458540, 92.988741], [31.217009, 35.659065, 37.301275, 40.340365, 40.424718], [25.599336, 26.087852, 29.070942, 29.238285, 218.054828], [15.719936, 16.183363, 19.464417, 20.681868, 37.580860], [31.805223, 35.624600, 35.724460, 37.069936, 161.156157]]
### 2
mean: [0.464410, 0.877251, -0.271403, 0.746385, 0.598007, 1.534507, -0.028191]
std: [0.734039, 0.858417, 0.476855, 1.120179, 0.705911, 1.161759, 0.605105]
pca: [[-0.197931, 0.499335, 0.698166, -0.135236, 0.119888, 0.433232, 0.060833, 0.000000, 0.000000, 0.000000], [0.435907, 0.159445, -0.081565, 0.621598, 0.297754, 0.321211, -0.446868, 0.000000, 0.000000, 0.000000], [-0.015625, -0.403873, -0.297421, -0.341039, 0.246035, 0.746152, 0.120826, 0.000000, 0.000000, 0.000000], [0.585500, -0.107304, 0.258410, -0.601625, 0.082417, -0.176459, -0.423105, 0.000000, 0.000000, 0.000000], [-0.100481, 0.581593, -0.505866, -0.284150, -0.409740, 0.171820, -0.342933, 0.000000, 0.000000, 0.000000], [0.586875, 0.371556, -0.173541, -0.049672, 0.047912, -0.006767, 0.694694, 0.000000, 0.000000, 0.000000], [-0.270621, 0.272600, -0.254282, -0.184007, 0.812072, -0.302795, -0.052816, 0.000000, 0.000000, 0.000000]]
fourier: [[11.193247, 11.612430, 12.478527, 13.261890, 41.796875], [12.434334, 13.903177, 14.776922, 17.286949, 78.952601], [6.755429, 7.091038, 8.054942, 8.757544, 24.426282], [16.162466, 17.087799, 18.528281, 20.784576, 67.174607], [10.554293, 11.367883, 13.236867, 15.027589, 53.820673], [18.266538, 18.830069, 19.043608, 22.791912, 138.105619], [8.644760, 8.765242, 8.886149, 8.947545, 10.679740]]
### 4
mean: [0.123427, 0.722329, 1.291103, -0.652337, 0.032877, -0.249137, -1.228097]
std: [0.866571, 1.119639, 1.272631, 0.479970, 0.365991, 0.285343, 0.947706]
pca: [[0.385924, 0.355229, 0.469050, -0.433192, -0.242174, -0.150256, 0.485784, 0.000000, 0.000000, 0.000000], [0.513320, -0.363406, 0.465980, 0.065235, -0.139935, 0.338513, -0.498871, 0.000000, 0.000000, 0.000000], [0.594645, -0.259329, -0.197105, 0.274809, 0.540747, -0.213268, 0.356209, 0.000000, 0.000000, 0.000000], [-0.193688, -0.438331, 0.161995, 0.477196, -0.495459, 0.064518, 0.516479, 0.000000, 0.000000, 0.000000], [0.125539, 0.414838, 0.134857, 0.574425, -0.208774, -0.573491, -0.302522, 0.000000, 0.000000, 0.000000], [-0.038222, 0.518203, 0.197373, 0.417910, 0.286795, 0.635746, 0.173135, 0.000000, 0.000000, 0.000000], [-0.423350, -0.204298, 0.663792, -0.015511, 0.507981, -0.283056, -0.003351, 0.000000, 0.000000, 0.000000]]
fourier: [[12.025815, 12.641251, 13.737659, 15.414318, 16.115832], [16.840328, 17.421670, 18.956892, 19.167009, 65.009598], [19.067750, 20.489536, 21.431384, 24.388282, 116.199291], [7.281061, 8.233337, 8.837537, 9.845798, 58.710313], [5.292872, 5.596353, 5.898684, 6.248987, 6.349248], [4.254926, 4.650854, 5.097003, 5.750386, 22.422324], [14.695571, 15.190015, 15.727100, 19.216978, 110.528747]]
### 6
mean: [0.177022, 0.143676, 0.115426, 0.288151, 0.142274, -0.363924, 1.059961]
std: [0.146340, 0.384036, 0.133834, 0.466325, 0.170299, 0.351265, 0.984926]
pca: [[-0.097581, 0.396333, -0.348603, 0.043662, 0.790988, -0.075305, -0.280419, 0.000000, 0.000000, 0.000000], [0.314365, -0.174937, 0.096215, 0.277408, 0.200223, 0.857075, -0.098447, 0.000000, 0.000000, 0.000000], [-0.104234, -0.206446, 0.107387, 0.129209, 0.428276, -0.059604, 0.855170, 0.000000, 0.000000, 0.000000], [0.378780, -0.116511, -0.528094, 0.674928, -0.173401, -0.275629, 0.050010, 0.000000, 0.000000, 0.000000], [-0.091454, 0.644982, -0.399052, -0.112617, -0.326811, 0.368853, 0.401062, 0.000000, 0.000000, 0.000000], [-0.273998, 0.451121, 0.559588, 0.628927, -0.074159, -0.063033, -0.057041, 0.000000, 0.000000, 0.000000], [0.808625, 0.369608, 0.326224, -0.201704, 0.091954, -0.200502, 0.117272, 0.000000, 0.000000, 0.000000]]
fourier: [[2.242841, 2.453253, 2.637503, 2.867315, 15.931947], [6.123289, 6.257718, 6.330092, 7.877686, 12.930809], [1.954446, 1.969912, 2.114788, 2.406848, 10.388320], [7.336666, 7.349611, 8.582070, 8.726519, 25.933596], [2.760325, 2.762842, 2.912243, 3.178820, 12.804621], [5.677163, 6.013511, 6.387714, 6.459640, 32.753122], [14.236476, 15.101911, 16.504978, 20.121234, 95.396474]]
### 8
mean: [0.228473, 0.585342, -0.118214, 0.619765, -0.086756, 0.157927, 0.062501]
std: [0.076876, 0.362631, 0.298687, 0.911769, 0.378602, 0.148888, 0.152884]
pca: [[0.064019, -0.145943, -0.527797, 0.163834, 0.228827, 0.690997, 0.373298, 0.000000, 0.000000, 0.000000], [0.324453, 0.295719, 0.500239, 0.278419, -0.093339, 0.578621, -0.368794, 0.000000, 0.000000, 0.000000], [-0.263308, 0.760270, 0.184046, -0.054544, 0.153982, -0.004478, 0.540444, 0.000000, 0.000000, 0.000000], [0.819288, 0.130772, -0.128570, 0.282346, 0.016473, -0.370001, 0.279721, 0.000000, 0.000000, 0.000000], [-0.339801, 0.091393, -0.211696, 0.732089, -0.532345, -0.109619, 0.002623, 0.000000, 0.000000, 0.000000], [-0.132498, 0.205355, -0.214082, 0.353285, 0.727157, -0.187383, -0.453610, 0.000000, 0.000000, 0.000000], [-0.130563, -0.495596, 0.574579, 0.390106, 0.320618, -0.060584, 0.385419, 0.000000, 0.000000, 0.000000]]
fourier: [[1.159686, 1.307035, 1.409086, 1.414942, 20.562592], [5.461898, 5.821539, 6.163703, 7.506495, 52.680815], [4.622323, 5.085646, 5.117264, 6.079859, 10.639248], [14.144360, 15.094719, 15.171667, 18.756267, 55.778821], [5.890417, 6.033591, 6.475655, 7.808007, 7.939959], [2.305506, 2.377218, 2.509061, 3.158192, 14.213438], [2.307971, 2.348916, 2.405106, 2.910492, 5.625095]]
### 10
mean: [-0.113212]
std: [0.530438]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.407553, 8.746714, 8.806268, 10.189054, 11.156936]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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[
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],
[
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],
[
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],
[
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],
[
0.440509,
-0.408169,
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-0.204967
]
],
"network.0.bias": [
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-0.429665,
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0.148447,
-0.242481,
-0.463063
],
"network.2.weight": [
[
-0.151067,
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],
[
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0.020468,
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0.028018,
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],
[
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-0.244134,
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],
[
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0.711041,
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],
[
0.316988,
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0.081923,
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],
[
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0.509284,
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0.203331,
0.23205,
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],
[
0.046501,
0.205985,
0.052768,
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-0.249155,
-0.029869,
0.318524
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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"network.6.weight": [
[
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[
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[
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],
[
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[
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[
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],
[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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],
[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
0.265813
]
}
## Activation Signature
### 0
mean: [2.086291, -2.114761, -1.033208, 0.079286, 2.422832, -0.417565, -1.790624]
std: [1.600304, 2.039458, 1.141797, 1.991950, 1.626940, 1.040294, 2.243515]
pca: [[-0.335274, -0.129240, 0.633967, 0.058881, -0.190209, 0.388992, -0.527269, 0.000000, 0.000000, 0.000000], [0.124285, 0.792916, 0.381325, 0.110486, 0.404305, -0.170909, -0.074493, 0.000000, 0.000000, 0.000000], [-0.140846, 0.231235, 0.190180, -0.652576, -0.144625, 0.397805, 0.534325, 0.000000, 0.000000, 0.000000], [-0.444360, 0.354046, -0.620542, 0.049245, 0.148513, 0.438035, -0.275257, 0.000000, 0.000000, 0.000000], [-0.413779, -0.335401, 0.170177, 0.261630, 0.667005, 0.092455, 0.406742, 0.000000, 0.000000, 0.000000], [0.047404, 0.205624, 0.044466, 0.698095, -0.451187, 0.286396, 0.424930, 0.000000, 0.000000, 0.000000], [0.693823, -0.144871, -0.022326, 0.016061, 0.330030, 0.615452, -0.095729, 0.000000, 0.000000, 0.000000]]
fourier: [[24.404501, 26.297405, 27.819125, 28.097119, 187.766172], [32.877138, 33.291828, 35.612435, 38.124288, 190.328536], [18.127157, 18.618158, 20.345100, 22.458540, 92.988741], [31.217009, 35.659065, 37.301275, 40.340365, 40.424718], [25.599336, 26.087852, 29.070942, 29.238285, 218.054828], [15.719936, 16.183363, 19.464417, 20.681868, 37.580860], [31.805223, 35.624600, 35.724460, 37.069936, 161.156157]]
### 2
mean: [0.464410, 0.877251, -0.271403, 0.746385, 0.598007, 1.534507, -0.028191]
std: [0.734039, 0.858417, 0.476855, 1.120179, 0.705911, 1.161759, 0.605105]
pca: [[-0.197931, 0.499335, 0.698166, -0.135236, 0.119888, 0.433232, 0.060833, 0.000000, 0.000000, 0.000000], [0.435907, 0.159445, -0.081565, 0.621598, 0.297754, 0.321211, -0.446868, 0.000000, 0.000000, 0.000000], [-0.015625, -0.403873, -0.297421, -0.341039, 0.246035, 0.746152, 0.120826, 0.000000, 0.000000, 0.000000], [0.585500, -0.107304, 0.258410, -0.601625, 0.082417, -0.176459, -0.423105, 0.000000, 0.000000, 0.000000], [-0.100481, 0.581593, -0.505866, -0.284150, -0.409740, 0.171820, -0.342933, 0.000000, 0.000000, 0.000000], [0.586875, 0.371556, -0.173541, -0.049672, 0.047912, -0.006767, 0.694694, 0.000000, 0.000000, 0.000000], [-0.270621, 0.272600, -0.254282, -0.184007, 0.812072, -0.302795, -0.052816, 0.000000, 0.000000, 0.000000]]
fourier: [[11.193247, 11.612430, 12.478527, 13.261890, 41.796875], [12.434334, 13.903177, 14.776922, 17.286949, 78.952601], [6.755429, 7.091038, 8.054942, 8.757544, 24.426282], [16.162466, 17.087799, 18.528281, 20.784576, 67.174607], [10.554293, 11.367883, 13.236867, 15.027589, 53.820673], [18.266538, 18.830069, 19.043608, 22.791912, 138.105619], [8.644760, 8.765242, 8.886149, 8.947545, 10.679740]]
### 4
mean: [0.123427, 0.722329, 1.291103, -0.652337, 0.032877, -0.249137, -1.228097]
std: [0.866571, 1.119639, 1.272631, 0.479970, 0.365991, 0.285343, 0.947706]
pca: [[0.385924, 0.355229, 0.469050, -0.433192, -0.242174, -0.150256, 0.485784, 0.000000, 0.000000, 0.000000], [0.513320, -0.363406, 0.465980, 0.065235, -0.139935, 0.338513, -0.498871, 0.000000, 0.000000, 0.000000], [0.594645, -0.259329, -0.197105, 0.274809, 0.540747, -0.213268, 0.356209, 0.000000, 0.000000, 0.000000], [-0.193688, -0.438331, 0.161995, 0.477196, -0.495459, 0.064518, 0.516479, 0.000000, 0.000000, 0.000000], [0.125539, 0.414838, 0.134857, 0.574425, -0.208774, -0.573491, -0.302522, 0.000000, 0.000000, 0.000000], [-0.038222, 0.518203, 0.197373, 0.417910, 0.286795, 0.635746, 0.173135, 0.000000, 0.000000, 0.000000], [-0.423350, -0.204298, 0.663792, -0.015511, 0.507981, -0.283056, -0.003351, 0.000000, 0.000000, 0.000000]]
fourier: [[12.025815, 12.641251, 13.737659, 15.414318, 16.115832], [16.840328, 17.421670, 18.956892, 19.167009, 65.009598], [19.067750, 20.489536, 21.431384, 24.388282, 116.199291], [7.281061, 8.233337, 8.837537, 9.845798, 58.710313], [5.292872, 5.596353, 5.898684, 6.248987, 6.349248], [4.254926, 4.650854, 5.097003, 5.750386, 22.422324], [14.695571, 15.190015, 15.727100, 19.216978, 110.528747]]
### 6
mean: [0.177022, 0.143676, 0.115426, 0.288151, 0.142274, -0.363924, 1.059961]
std: [0.146340, 0.384036, 0.133834, 0.466325, 0.170299, 0.351265, 0.984926]
pca: [[-0.097581, 0.396333, -0.348603, 0.043662, 0.790988, -0.075305, -0.280419, 0.000000, 0.000000, 0.000000], [0.314365, -0.174937, 0.096215, 0.277408, 0.200223, 0.857075, -0.098447, 0.000000, 0.000000, 0.000000], [-0.104234, -0.206446, 0.107387, 0.129209, 0.428276, -0.059604, 0.855170, 0.000000, 0.000000, 0.000000], [0.378780, -0.116511, -0.528094, 0.674928, -0.173401, -0.275629, 0.050010, 0.000000, 0.000000, 0.000000], [-0.091454, 0.644982, -0.399052, -0.112617, -0.326811, 0.368853, 0.401062, 0.000000, 0.000000, 0.000000], [-0.273998, 0.451121, 0.559588, 0.628927, -0.074159, -0.063033, -0.057041, 0.000000, 0.000000, 0.000000], [0.808625, 0.369608, 0.326224, -0.201704, 0.091954, -0.200502, 0.117272, 0.000000, 0.000000, 0.000000]]
fourier: [[2.242841, 2.453253, 2.637503, 2.867315, 15.931947], [6.123289, 6.257718, 6.330092, 7.877686, 12.930809], [1.954446, 1.969912, 2.114788, 2.406848, 10.388320], [7.336666, 7.349611, 8.582070, 8.726519, 25.933596], [2.760325, 2.762842, 2.912243, 3.178820, 12.804621], [5.677163, 6.013511, 6.387714, 6.459640, 32.753122], [14.236476, 15.101911, 16.504978, 20.121234, 95.396474]]
### 8
mean: [0.228473, 0.585342, -0.118214, 0.619765, -0.086756, 0.157927, 0.062501]
std: [0.076876, 0.362631, 0.298687, 0.911769, 0.378602, 0.148888, 0.152884]
pca: [[0.064019, -0.145943, -0.527797, 0.163834, 0.228827, 0.690997, 0.373298, 0.000000, 0.000000, 0.000000], [0.324453, 0.295719, 0.500239, 0.278419, -0.093339, 0.578621, -0.368794, 0.000000, 0.000000, 0.000000], [-0.263308, 0.760270, 0.184046, -0.054544, 0.153982, -0.004478, 0.540444, 0.000000, 0.000000, 0.000000], [0.819288, 0.130772, -0.128570, 0.282346, 0.016473, -0.370001, 0.279721, 0.000000, 0.000000, 0.000000], [-0.339801, 0.091393, -0.211696, 0.732089, -0.532345, -0.109619, 0.002623, 0.000000, 0.000000, 0.000000], [-0.132498, 0.205355, -0.214082, 0.353285, 0.727157, -0.187383, -0.453610, 0.000000, 0.000000, 0.000000], [-0.130563, -0.495596, 0.574579, 0.390106, 0.320618, -0.060584, 0.385419, 0.000000, 0.000000, 0.000000]]
fourier: [[1.159686, 1.307035, 1.409086, 1.414942, 20.562592], [5.461898, 5.821539, 6.163703, 7.506495, 52.680815], [4.622323, 5.085646, 5.117264, 6.079859, 10.639248], [14.144360, 15.094719, 15.171667, 18.756267, 55.778821], [5.890417, 6.033591, 6.475655, 7.808007, 7.939959], [2.305506, 2.377218, 2.509061, 3.158192, 14.213438], [2.307971, 2.348916, 2.405106, 2.910492, 5.625095]]
### 10
mean: [-0.113212]
std: [0.530438]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.407553, 8.746714, 8.806268, 10.189054, 11.156936]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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11.156935773383847]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.364313, 0.06905, 0.257017, 0.404946, 0.532447], [-0.791896, -0.352425, 0.02946, -0.254673, -0.06563], [-0.194295, -0.07244, -0.403854, 0.050091, 0.410624], [-0.237965, 0.45356, -0.616134, 0.402516, -0.36863], [-0.174858, 0.531054, 0.163938, 0.391273, 0.277926], [-0.234097, -0.191487, 0.35586, 0.110772, -0.418158], [0.440509, -0.408169, 0.355067, -0.75585, -0.204967]], "network.0.bias": [0.351885, 0.078442, -0.429665, 0.427438, 0.148447, -0.242481, -0.463063], "network.2.weight": [[-0.151067, 0.599727, -0.224348, 0.531742, 0.187529, 0.017043, 0.207555], [0.425064, -0.398401, 0.020468, -0.35664, 0.053098, 0.028018, -0.601091], [-0.106733, 0.393223, 0.161742, -0.244134, -0.088523, 0.195466, 0.067212], [-0.015966, -0.049537, 0.711041, -0.749366, 0.490751, 0.654144, -0.267517], [0.316988, -0.409473, 0.081923, 0.539757, -0.206256, -0.240451, 0.549102], [0.463093, -0.207145, 0.509284, -0.38074, 0.203331, 0.23205, -0.297225], [0.046501, 0.205985, 0.052768, 0.551907, -0.249155, -0.029869, 0.318524]], "network.2.bias": [-0.016599, 0.175131, 0.303298, 0.047026, 0.002198, 0.341676, 0.06984], "network.4.weight": [[-0.420074, 0.299282, -0.190138, -0.261044, -0.245347, 0.485517, -0.30116], [-0.256192, 0.048596, -0.003212, 0.563823, -0.293845, 0.258817, -0.412], [-0.129497, 0.313938, 0.060679, 0.653334, -0.166111, 0.29251, -0.086539], [0.041093, -0.509528, -0.165223, 0.463375, 0.192947, -0.359645, -0.073543], [-0.618978, 0.150931, -0.373925, 0.231393, 0.656891, -0.176713, -0.170481], [-0.560442, 0.166026, 0.083975, -0.086382, 0.529446, -0.161788, 0.126862], [-0.143995, -0.359678, -0.233699, -0.050734, -0.100241, -0.473945, 0.461837]], "network.4.bias": [-0.282011, 0.168408, 0.249467, -0.207615, -0.106866, -0.141148, -0.156926], "network.6.weight": [[-0.232835, -0.097648, 0.078685, -0.705429, -0.052961, -0.280357, -0.32254], [0.205226, 0.353188, -0.016047, 0.234384, -0.171944, 0.447793, 0.295606], [0.035247, 0.10782, -0.208093, -0.181344, 0.117778, 0.135959, 0.105477], [-0.195731, 0.547711, -0.014813, 0.285456, 0.310008, -0.026632, 0.539334], [-0.316063, -0.310689, 0.284416, -0.359795, -0.237436, -0.422641, -0.013134], [0.152111, 0.016619, -0.286304, -0.233549, -0.466505, -0.346336, -0.101518], [0.442194, 0.254176, 0.430658, 0.132441, -0.327483, -0.356568, 0.379631]], "network.6.bias": [0.086339, -0.066026, 0.271111, 0.002235, 0.059086, -0.095734, 0.257318], "network.8.weight": [[0.142978, 0.458307, -0.152852, 0.153017, 0.115382, 0.022741, -0.113996], [-0.291186, 0.042556, -0.218713, 0.015871, -0.111433, -0.346053, 0.287201], [0.014777, -0.386091, -0.152396, -0.381707, 0.557138, -0.045271, -0.01153], [-0.157738, 0.417641, -0.081913, 0.543648, -0.300183, -0.04999, 0.543063], [0.642864, 0.015436, -0.291964, -0.153537, 0.000995, -0.19598, -0.307536], [0.017621, -0.052523, -0.113199, -0.0006, 0.343752, -0.058394, -0.120578], [-0.307827, -0.239936, 0.334529, 0.000537, -0.294792, -0.340493, -0.104907]], "network.8.bias": [0.228869, 0.321337, -0.009099, -0.05019, 0.179606, 0.25173, 0.200951], "network.10.weight": [[0.002832, -0.358561, 0.095722, -0.417918, 0.057929, 0.271281, 0.040123]], "network.10.bias": [0.265813]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916628181934357, "train_acc": 0.545, "val_loss": 0.6948902606964111, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656907469034195, "train_acc": 0.56, "val_loss": 0.6221851110458374, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5967628955841064, "train_acc": 0.495, "val_loss": 0.5281664133071899, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46771153807640076, "train_acc": 0.9, "val_loss": 0.4127884805202484, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2919875830411911, "train_acc": 0.93, "val_loss": 0.3868160545825958, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3152097165584564, "train_acc": 0.85, "val_loss": 0.4148086607456207, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3372253179550171, "train_acc": 0.895, "val_loss": 0.6069291830062866, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3720262199640274, "train_acc": 0.855, "val_loss": 0.4614182412624359, "val_acc": 0.82}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6948902606964111, "final_val_loss": 0.6221851110458374, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5281664133071899, "final_val_loss": 0.4614182412624359, "initial_val_acc": 0.82, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 2}, "improvement": 0.29999999999999993, "first_improvement_epoch": 1}}
|
3
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.019119242316001303, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-1.659308, -2.419688, 0.839174, 0.197359, -0.034248, 2.594589]
std: [1.489247, 1.730263, 1.174216, 1.382672, 0.893409, 1.761273]
pca: [[-0.507325, 0.230208, 0.374089, 0.470551, 0.216806, -0.530339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530737, -0.507264, 0.328300, -0.220220, 0.315769, 0.452785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123236, 0.491633, -0.299622, -0.496250, 0.635127, -0.060713, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159341, 0.650483, 0.199144, 0.190350, -0.229602, 0.650287, 0.000000, 0.000000, 0.000000, 0.000000], [0.069311, -0.153757, -0.500225, 0.665385, 0.443704, 0.285868, 0.000000, 0.000000, 0.000000, 0.000000], [0.644638, 0.034840, 0.610426, 0.069652, 0.447559, 0.073804, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.438047, 21.858591, 23.113727, 27.580999, 149.337760], [25.284438, 26.330219, 30.462187, 32.385479, 217.771931], [17.647184, 19.075985, 19.198678, 23.686198, 75.525661], [20.899991, 21.019317, 23.583377, 26.637870, 29.039788], [13.522585, 13.852445, 14.805343, 16.643870, 17.449274], [26.312627, 28.074187, 30.650720, 33.723305, 233.513014]]
### 2
mean: [-0.984036, -0.839929, -0.077113, -0.251444, -1.058635, -0.981665]
std: [0.572628, 0.614876, 0.699236, 0.424901, 0.572590, 0.779033]
pca: [[0.420394, -0.011596, 0.496210, -0.417572, -0.391360, -0.499381, 0.000000, 0.000000, 0.000000, 0.000000], [0.461653, 0.028941, 0.061268, 0.562775, 0.526330, -0.434219, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412812, 0.623487, 0.140642, 0.436281, -0.388317, -0.282735, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229551, 0.360595, 0.603029, -0.290890, 0.577589, 0.188168, 0.000000, 0.000000, 0.000000, 0.000000], [0.424272, 0.039754, 0.395984, 0.383971, -0.289910, 0.655842, 0.000000, 0.000000, 0.000000, 0.000000], [0.455007, 0.691869, -0.458033, -0.294154, 0.036986, 0.128828, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.490423, 9.623059, 9.943657, 10.135006, 88.563266], [9.628797, 10.192665, 10.428547, 11.283667, 75.593651], [9.528633, 9.889402, 11.885785, 12.871587, 14.512237], [6.345467, 6.661173, 6.947211, 7.972590, 22.629977], [9.089127, 9.651917, 9.912411, 10.010349, 95.277175], [10.408970, 14.672835, 16.511195, 17.402080, 88.349822]]
### 4
mean: [0.656669, -0.266629, 0.067070, 0.474124, -0.255118, 0.641095]
std: [0.253712, 0.151550, 0.104245, 0.191578, 0.115350, 0.201837]
pca: [[0.587533, 0.235836, 0.039678, -0.300284, 0.674528, -0.229028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347539, 0.425394, 0.440776, -0.235927, 0.235804, 0.626664, 0.000000, 0.000000, 0.000000, 0.000000], [0.225655, 0.805038, -0.164139, -0.005983, -0.510435, -0.116066, 0.000000, 0.000000, 0.000000, 0.000000], [0.441786, -0.215120, 0.778158, -0.048908, -0.387016, -0.029081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263921, 0.262211, 0.380705, 0.673044, 0.266382, -0.438985, 0.000000, 0.000000, 0.000000, 0.000000], [0.467196, -0.017427, -0.163507, 0.631468, 0.090129, 0.589757, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.707922, 4.196488, 5.383627, 5.686625, 59.100194], [2.048867, 2.725015, 3.159113, 3.439755, 23.996647], [1.641036, 1.651922, 1.942019, 2.148005, 6.036258], [2.876909, 2.969803, 4.175490, 4.307909, 42.671188], [1.588793, 2.093173, 2.305401, 2.723607, 22.960595], [2.904684, 3.446171, 4.299090, 4.461066, 57.698593]]
### 6
mean: [0.927612, -0.366221, -0.253131, 0.863635, -0.045374, 0.763748]
std: [0.270336, 0.161303, 0.094660, 0.222782, 0.026189, 0.214100]
pca: [[0.599084, -0.299612, -0.047606, 0.242375, 0.639324, 0.285628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356913, 0.110524, 0.683379, -0.060244, 0.195006, 0.593072, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209262, -0.026207, 0.348631, 0.754787, 0.144086, -0.493473, 0.000000, 0.000000, 0.000000, 0.000000], [0.492771, 0.661672, 0.088430, 0.341136, -0.377180, 0.230020, 0.000000, 0.000000, 0.000000, 0.000000], [0.049499, 0.607391, 0.082173, -0.374088, 0.565869, -0.402150, 0.000000, 0.000000, 0.000000, 0.000000], [0.473969, -0.300994, 0.628181, -0.334077, -0.264583, -0.329443, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.975528, 4.550876, 5.746510, 6.097059, 83.485116], [2.402877, 2.762119, 3.343026, 3.661527, 32.959848], [1.438333, 1.552211, 1.986092, 2.152654, 22.781750], [3.360814, 3.686069, 4.738931, 5.037673, 77.727180], [0.437042, 0.475859, 0.500069, 0.513407, 4.083618], [3.121936, 3.537030, 4.627130, 4.830351, 68.737281]]
### 8
mean: [-0.765267]
std: [0.321693]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.810401, 5.336595, 6.821332, 7.307498, 68.874034]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-1.659308, -2.419688, 0.839174, 0.197359, -0.034248, 2.594589]
std: [1.489247, 1.730263, 1.174216, 1.382672, 0.893409, 1.761273]
pca: [[-0.507325, 0.230208, 0.374089, 0.470551, 0.216806, -0.530339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530737, -0.507264, 0.328300, -0.220220, 0.315769, 0.452785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123236, 0.491633, -0.299622, -0.496250, 0.635127, -0.060713, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159341, 0.650483, 0.199144, 0.190350, -0.229602, 0.650287, 0.000000, 0.000000, 0.000000, 0.000000], [0.069311, -0.153757, -0.500225, 0.665385, 0.443704, 0.285868, 0.000000, 0.000000, 0.000000, 0.000000], [0.644638, 0.034840, 0.610426, 0.069652, 0.447559, 0.073804, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.438047, 21.858591, 23.113727, 27.580999, 149.337760], [25.284438, 26.330219, 30.462187, 32.385479, 217.771931], [17.647184, 19.075985, 19.198678, 23.686198, 75.525661], [20.899991, 21.019317, 23.583377, 26.637870, 29.039788], [13.522585, 13.852445, 14.805343, 16.643870, 17.449274], [26.312627, 28.074187, 30.650720, 33.723305, 233.513014]]
### 2
mean: [-0.984036, -0.839929, -0.077113, -0.251444, -1.058635, -0.981665]
std: [0.572628, 0.614876, 0.699236, 0.424901, 0.572590, 0.779033]
pca: [[0.420394, -0.011596, 0.496210, -0.417572, -0.391360, -0.499381, 0.000000, 0.000000, 0.000000, 0.000000], [0.461653, 0.028941, 0.061268, 0.562775, 0.526330, -0.434219, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412812, 0.623487, 0.140642, 0.436281, -0.388317, -0.282735, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229551, 0.360595, 0.603029, -0.290890, 0.577589, 0.188168, 0.000000, 0.000000, 0.000000, 0.000000], [0.424272, 0.039754, 0.395984, 0.383971, -0.289910, 0.655842, 0.000000, 0.000000, 0.000000, 0.000000], [0.455007, 0.691869, -0.458033, -0.294154, 0.036986, 0.128828, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.490423, 9.623059, 9.943657, 10.135006, 88.563266], [9.628797, 10.192665, 10.428547, 11.283667, 75.593651], [9.528633, 9.889402, 11.885785, 12.871587, 14.512237], [6.345467, 6.661173, 6.947211, 7.972590, 22.629977], [9.089127, 9.651917, 9.912411, 10.010349, 95.277175], [10.408970, 14.672835, 16.511195, 17.402080, 88.349822]]
### 4
mean: [0.656669, -0.266629, 0.067070, 0.474124, -0.255118, 0.641095]
std: [0.253712, 0.151550, 0.104245, 0.191578, 0.115350, 0.201837]
pca: [[0.587533, 0.235836, 0.039678, -0.300284, 0.674528, -0.229028, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347539, 0.425394, 0.440776, -0.235927, 0.235804, 0.626664, 0.000000, 0.000000, 0.000000, 0.000000], [0.225655, 0.805038, -0.164139, -0.005983, -0.510435, -0.116066, 0.000000, 0.000000, 0.000000, 0.000000], [0.441786, -0.215120, 0.778158, -0.048908, -0.387016, -0.029081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263921, 0.262211, 0.380705, 0.673044, 0.266382, -0.438985, 0.000000, 0.000000, 0.000000, 0.000000], [0.467196, -0.017427, -0.163507, 0.631468, 0.090129, 0.589757, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.707922, 4.196488, 5.383627, 5.686625, 59.100194], [2.048867, 2.725015, 3.159113, 3.439755, 23.996647], [1.641036, 1.651922, 1.942019, 2.148005, 6.036258], [2.876909, 2.969803, 4.175490, 4.307909, 42.671188], [1.588793, 2.093173, 2.305401, 2.723607, 22.960595], [2.904684, 3.446171, 4.299090, 4.461066, 57.698593]]
### 6
mean: [0.927612, -0.366221, -0.253131, 0.863635, -0.045374, 0.763748]
std: [0.270336, 0.161303, 0.094660, 0.222782, 0.026189, 0.214100]
pca: [[0.599084, -0.299612, -0.047606, 0.242375, 0.639324, 0.285628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356913, 0.110524, 0.683379, -0.060244, 0.195006, 0.593072, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209262, -0.026207, 0.348631, 0.754787, 0.144086, -0.493473, 0.000000, 0.000000, 0.000000, 0.000000], [0.492771, 0.661672, 0.088430, 0.341136, -0.377180, 0.230020, 0.000000, 0.000000, 0.000000, 0.000000], [0.049499, 0.607391, 0.082173, -0.374088, 0.565869, -0.402150, 0.000000, 0.000000, 0.000000, 0.000000], [0.473969, -0.300994, 0.628181, -0.334077, -0.264583, -0.329443, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.975528, 4.550876, 5.746510, 6.097059, 83.485116], [2.402877, 2.762119, 3.343026, 3.661527, 32.959848], [1.438333, 1.552211, 1.986092, 2.152654, 22.781750], [3.360814, 3.686069, 4.738931, 5.037673, 77.727180], [0.437042, 0.475859, 0.500069, 0.513407, 4.083618], [3.121936, 3.537030, 4.627130, 4.830351, 68.737281]]
### 8
mean: [-0.765267]
std: [0.321693]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.810401, 5.336595, 6.821332, 7.307498, 68.874034]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.162133, -0.334347, 0.141674, -0.502033, -0.251815], [-0.204555, -0.015017, -0.56346, -0.520731, -0.065801], [0.431153, 0.210158, 0.089488, -0.180073, -0.160631], [0.459123, -0.225418, 0.388749, -0.201323, -0.125623], [-0.290757, -0.021962, 0.22935, 0.195909, -0.285728], [-0.14448, -0.066295, 0.234841, 0.454059, 0.675649]], "network.0.bias": [-0.160605, 0.237072, 0.317011, -0.188624, -0.179202, 0.597629], "network.2.weight": [[0.081748, 0.313622, -0.157807, 0.317939, 0.061109, -0.311124], [-0.315466, -0.161834, 0.028191, 0.114249, 0.121906, -0.329925], [0.031337, 0.185826, -0.263719, -0.321228, -0.413465, 0.210075], [0.011343, -0.254065, -0.372481, 0.051355, -0.349624, 0.09595], [-0.133825, 0.269863, -0.081572, 0.201118, -0.022102, -0.313254], [0.108482, 0.016486, -0.129467, -0.198325, 0.351549, -0.403049]], "network.2.bias": [-0.236525, -0.128156, -0.121111, -0.139925, -0.296265, 0.182593], "network.4.weight": [[-0.538366, -0.252338, -0.560499, -0.034124, -0.404778, -0.454693], [0.107055, -0.035497, 0.194235, 0.399489, 0.196649, 0.565174], [-0.587456, -0.416795, -0.197796, 0.101244, -0.29369, -0.037438], [-0.411201, 0.094986, -0.380608, -0.238452, -0.193407, -0.186131], [-0.01513, -0.091569, 0.348473, -0.172985, 0.141447, 0.491656], [-0.365317, -0.182323, -0.198681, -0.595199, -0.540828, -0.416548]], "network.4.bias": [0.519454, -0.175531, -0.072661, 0.422234, -0.243111, 0.455743], "network.6.weight": [[0.333359, -0.498587, 0.290691, 0.241998, -0.535115, 0.645789], [-0.447419, 0.380347, -0.272083, 0.221987, 0.156256, -0.370891], [-0.374263, 0.17476, -0.256277, -0.042875, 0.120498, 0.07576], [0.616241, 0.114618, -0.161504, 0.185764, 0.160447, 0.611501], [0.118938, 0.363293, 0.029295, 0.238985, 0.30564, 0.014111], [0.325373, -0.346993, -0.002606, 0.511129, -0.658716, 0.193936]], "network.6.bias": [0.25125, 0.029623, -0.046558, 0.223415, -0.129607, 0.234977], "network.8.weight": [[-0.51718, 0.225859, 0.351603, -0.237137, -0.084317, -0.617914]], "network.8.bias": [0.239707]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7226835191249847, "train_acc": 0.425, "val_loss": 0.6928030252456665, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7003122270107269, "train_acc": 0.425, "val_loss": 0.6850212812423706, "val_acc": 0.88}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6796875298023224, "train_acc": 0.695, "val_loss": 0.6788185834884644, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6636232137680054, "train_acc": 0.575, "val_loss": 0.6699777245521545, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6492370665073395, "train_acc": 0.575, "val_loss": 0.6446016430854797, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6401517987251282, "train_acc": 0.5, "val_loss": 0.573093056678772, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5793837904930115, "train_acc": 0.73, "val_loss": 0.5042678117752075, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5186662077903748, "train_acc": 0.83, "val_loss": 0.4421137571334839, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4732495844364166, "train_acc": 0.83, "val_loss": 0.40456122159957886, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.38975079357624054, "train_acc": 0.84, "val_loss": 0.40759193897247314, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3808707594871521, "train_acc": 0.85, "val_loss": 0.3426106572151184, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3310418128967285, "train_acc": 0.85, "val_loss": 0.32478126883506775, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3246797025203705, "train_acc": 0.85, "val_loss": 0.35312873125076294, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3315581828355789, "train_acc": 0.865, "val_loss": 0.42328938841819763, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.31551649421453476, "train_acc": 0.855, "val_loss": 0.3420759439468384, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6928030252456665, "final_val_loss": 0.6446016430854797, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.573093056678772, "final_val_loss": 0.3420759439468384, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
4
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.78, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6414, "learning_rate": 0.03915548690982054, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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[
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[
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[
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],
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [1.227582, -1.278848, -2.427858, -2.206597, 1.459976]
std: [1.588762, 1.839438, 1.473296, 1.473112, 1.955981]
pca: [[-0.362330, -0.574018, -0.106028, 0.266834, 0.675853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507027, 0.274882, 0.803095, -0.086827, 0.121913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414785, 0.366763, -0.268835, 0.747987, -0.248358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027086, 0.661052, -0.363360, -0.271491, 0.597109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.662465, 0.153098, 0.373488, 0.536721, 0.331872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.122331, 25.713154, 28.073257, 28.765105, 110.482386], [25.948701, 28.230689, 29.391764, 33.689634, 115.096319], [23.612830, 24.563167, 29.663812, 31.008543, 218.507198], [22.422635, 24.676619, 26.561568, 26.880547, 198.593715], [30.092886, 31.142523, 37.115935, 37.382861, 131.397805]]
### 2
mean: [-0.062870, -0.814996, 0.485188, 0.273591, 1.923347]
std: [0.496252, 0.523788, 1.111957, 1.389808, 1.523162]
pca: [[-0.200866, 0.212074, -0.240728, -0.554045, 0.741459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.189761, -0.279013, 0.869006, -0.315201, 0.177820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441864, 0.552513, 0.227073, -0.422074, -0.519400, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.597873, 0.180081, 0.337629, 0.610087, 0.352021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609055, 0.734491, 0.146025, 0.208158, 0.157869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.511000, 7.549951, 8.011322, 8.624006, 10.702899], [8.127110, 8.275303, 9.072340, 10.660578, 73.349618], [17.478363, 19.310486, 19.603694, 24.209521, 43.666938], [22.945873, 24.232795, 24.313922, 24.623165, 29.673005], [24.653302, 24.793360, 25.924947, 28.413144, 173.101265]]
### 4
mean: [-0.595445, -1.804551, 0.222180, 0.684564, -0.104713]
std: [0.903587, 0.815814, 0.967963, 2.107005, 1.079082]
pca: [[-0.262220, 0.672451, -0.526943, -0.236132, -0.381605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.224764, 0.653273, 0.573019, 0.436138, -0.064407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354349, -0.151838, -0.345137, 0.852434, -0.074962, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.777353, 0.114342, -0.522468, 0.157581, 0.291280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388435, 0.291401, -0.043442, -0.050501, 0.871646, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.510688, 14.685287, 15.217354, 16.941153, 53.590025], [12.896799, 12.943928, 14.633415, 15.715426, 162.409567], [14.420643, 14.864281, 19.203604, 19.996198, 22.871005], [32.837988, 34.158827, 41.242359, 50.346273, 61.610759], [15.728722, 18.229651, 19.456852, 20.042051, 24.267665]]
### 6
mean: [1.603651, 1.279158, 0.617711, 0.347447, 1.261546]
std: [1.462358, 1.193415, 0.678620, 0.717787, 1.302461]
pca: [[0.586253, -0.128857, 0.726639, -0.036286, 0.332239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477744, -0.586508, -0.290475, -0.345969, -0.472967, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.269648, 0.758286, 0.069050, -0.449178, -0.381790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287550, 0.119621, -0.550456, -0.312494, 0.708768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522181, 0.223823, -0.282578, 0.761299, -0.133433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.814360, 27.083099, 28.498494, 31.200695, 144.328599], [20.293426, 22.372372, 22.956073, 24.773680, 115.124261], [11.537640, 11.905969, 13.223484, 15.354308, 55.593970], [12.346971, 13.085816, 13.828216, 15.441510, 31.270192], [22.416439, 23.737144, 25.371261, 27.941310, 113.539132]]
### 8
mean: [-3.708765]
std: [3.880368]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.921767, 72.188447, 73.516290, 75.240192, 333.788847]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.099115,
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0.587561
],
[
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-0.780668,
0.178839
],
[
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],
[
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],
[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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[
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[
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"network.6.weight": [
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[
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[
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[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.227582, -1.278848, -2.427858, -2.206597, 1.459976]
std: [1.588762, 1.839438, 1.473296, 1.473112, 1.955981]
pca: [[-0.362330, -0.574018, -0.106028, 0.266834, 0.675853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507027, 0.274882, 0.803095, -0.086827, 0.121913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414785, 0.366763, -0.268835, 0.747987, -0.248358, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027086, 0.661052, -0.363360, -0.271491, 0.597109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.662465, 0.153098, 0.373488, 0.536721, 0.331872, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.122331, 25.713154, 28.073257, 28.765105, 110.482386], [25.948701, 28.230689, 29.391764, 33.689634, 115.096319], [23.612830, 24.563167, 29.663812, 31.008543, 218.507198], [22.422635, 24.676619, 26.561568, 26.880547, 198.593715], [30.092886, 31.142523, 37.115935, 37.382861, 131.397805]]
### 2
mean: [-0.062870, -0.814996, 0.485188, 0.273591, 1.923347]
std: [0.496252, 0.523788, 1.111957, 1.389808, 1.523162]
pca: [[-0.200866, 0.212074, -0.240728, -0.554045, 0.741459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.189761, -0.279013, 0.869006, -0.315201, 0.177820, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.441864, 0.552513, 0.227073, -0.422074, -0.519400, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.597873, 0.180081, 0.337629, 0.610087, 0.352021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609055, 0.734491, 0.146025, 0.208158, 0.157869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.511000, 7.549951, 8.011322, 8.624006, 10.702899], [8.127110, 8.275303, 9.072340, 10.660578, 73.349618], [17.478363, 19.310486, 19.603694, 24.209521, 43.666938], [22.945873, 24.232795, 24.313922, 24.623165, 29.673005], [24.653302, 24.793360, 25.924947, 28.413144, 173.101265]]
### 4
mean: [-0.595445, -1.804551, 0.222180, 0.684564, -0.104713]
std: [0.903587, 0.815814, 0.967963, 2.107005, 1.079082]
pca: [[-0.262220, 0.672451, -0.526943, -0.236132, -0.381605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.224764, 0.653273, 0.573019, 0.436138, -0.064407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354349, -0.151838, -0.345137, 0.852434, -0.074962, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.777353, 0.114342, -0.522468, 0.157581, 0.291280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388435, 0.291401, -0.043442, -0.050501, 0.871646, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.510688, 14.685287, 15.217354, 16.941153, 53.590025], [12.896799, 12.943928, 14.633415, 15.715426, 162.409567], [14.420643, 14.864281, 19.203604, 19.996198, 22.871005], [32.837988, 34.158827, 41.242359, 50.346273, 61.610759], [15.728722, 18.229651, 19.456852, 20.042051, 24.267665]]
### 6
mean: [1.603651, 1.279158, 0.617711, 0.347447, 1.261546]
std: [1.462358, 1.193415, 0.678620, 0.717787, 1.302461]
pca: [[0.586253, -0.128857, 0.726639, -0.036286, 0.332239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477744, -0.586508, -0.290475, -0.345969, -0.472967, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.269648, 0.758286, 0.069050, -0.449178, -0.381790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287550, 0.119621, -0.550456, -0.312494, 0.708768, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.522181, 0.223823, -0.282578, 0.761299, -0.133433, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.814360, 27.083099, 28.498494, 31.200695, 144.328599], [20.293426, 22.372372, 22.956073, 24.773680, 115.124261], [11.537640, 11.905969, 13.223484, 15.354308, 55.593970], [12.346971, 13.085816, 13.828216, 15.441510, 31.270192], [22.416439, 23.737144, 25.371261, 27.941310, 113.539132]]
### 8
mean: [-3.708765]
std: [3.880368]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.921767, 72.188447, 73.516290, 75.240192, 333.788847]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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-2.206596851348877, "std": 1.473111629486084, "pca": [-0.02708621881902218, 0.6610516905784607, -0.36336034536361694, -0.27149102091789246, 0.597108781337738, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.422635094912415, 24.67661906620669, 26.561567762083918, 26.88054696370058, 198.5937151312828]}, "4": {"mean": 1.4599757194519043, "std": 1.9559813737869263, "pca": [0.6624650359153748, 0.1530977487564087, 0.3734877109527588, 0.5367206931114197, 0.331871896982193, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [30.092885896779986, 31.142522694794955, 37.11593500478537, 37.382861464738326, 131.39780516270548]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.06287024915218353, "std": 0.4962522089481354, "pca": [-0.2008659839630127, 0.21207357943058014, -0.24072806537151337, -0.5540450215339661, 0.7414592504501343, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [7.511000129312317, 7.5499511493832365, 8.011322462319859, 8.624006373168836, 10.70289888317084]}, "1": {"mean": -0.8149957656860352, "std": 0.523788332939148, "pca": [0.18976056575775146, -0.2790127098560333, 0.8690058588981628, -0.3152010440826416, 0.17781992256641388, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.127109989527675, 8.275303214552745, 9.072340032065746, 10.66057829008713, 73.34961786866188]}, "2": {"mean": 0.48518821597099304, "std": 1.1119568347930908, "pca": [-0.4418637454509735, 0.5525133609771729, 0.2270733118057251, -0.42207416892051697, -0.5194001793861389, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.478363086292514, 19.310485525296105, 19.6036939838983, 24.20952115566847, 43.66693752259016]}, "3": {"mean": 0.27359071373939514, "std": 1.3898078203201294, "pca": [-0.5978733897209167, 0.18008066713809967, 0.337628573179245, 0.6100870370864868, 0.3520214855670929, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.945873129072407, 24.232794723903215, 24.313921938004032, 24.623165115714073, 29.673004586795997]}, "4": {"mean": 1.9233474731445312, "std": 1.523161768913269, "pca": [0.609054684638977, 0.7344907522201538, 0.14602543413639069, 0.2081577628850937, 0.15786907076835632, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.65330155294264, 24.793360195273817, 25.92494682040861, 28.413143673771756, 173.10126504302025]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": -0.5954446792602539, "std": 0.9035874605178833, "pca": [-0.2622198462486267, 0.6724511384963989, -0.5269433856010437, -0.23613202571868896, -0.38160526752471924, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.510688240584393, 14.685286953834545, 15.217354249759254, 16.941152999275435, 53.59002520143986]}, "1": {"mean": -1.8045506477355957, "std": 0.8158139586448669, "pca": [0.22476403415203094, 0.6532731056213379, 0.5730189681053162, 0.4361380636692047, -0.0644070953130722, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.8967993729621, 12.943927502220362, 14.633414509600351, 15.715426475278072, 162.4095665216446]}, "2": {"mean": 0.22217996418476105, "std": 0.9679632186889648, "pca": [-0.35434865951538086, -0.15183845162391663, -0.3451370596885681, 0.8524336814880371, -0.07496198266744614, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.420642738605403, 14.864281310293146, 19.203603535992134, 19.9961980804801, 22.87100512302931]}, "3": {"mean": 0.684563934803009, "std": 2.1070046424865723, "pca": [0.7773526310920715, 0.11434246599674225, -0.5224683880805969, 0.15758076310157776, 0.29127952456474304, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.83798752892822, 34.15882741659153, 41.242358564620936, 50.346273498756126, 61.610758543014526]}, "4": {"mean": -0.10471326857805252, "std": 1.0790815353393555, "pca": [-0.3884350061416626, 0.291401207447052, -0.04344162717461586, -0.050500765442848206, 0.8716456294059753, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.72872196717631, 18.22965115477386, 19.456852028567265, 20.042050973568244, 24.267665363160525]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 1.6036510467529297, "std": 1.4623578786849976, "pca": [0.5862525105476379, -0.12885671854019165, 0.7266390919685364, -0.036286499351263046, 0.33223921060562134, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.814360467258815, 27.08309878587319, 28.498494069628485, 31.200694758535846, 144.3285991549492]}, "1": {"mean": 1.2791584730148315, "std": 1.193414568901062, "pca": [0.4777444899082184, -0.5865083932876587, -0.29047465324401855, -0.34596922993659973, -0.47296714782714844, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.29342620501265, 22.372372286849767, 22.956072913355946, 24.7736798114305, 115.12426081299782]}, "2": {"mean": 0.6177107691764832, "std": 0.6786195635795593, "pca": [0.26964831352233887, 0.7582862377166748, 0.06905035674571991, -0.4491775631904602, -0.3817896544933319, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.537639944294092, 11.905969432216175, 13.223484003733908, 15.35430833235285, 55.5939704477787]}, "3": {"mean": 0.3474465608596802, "std": 0.7177870273590088, "pca": [0.28755027055740356, 0.11962064355611801, -0.5504559874534607, -0.31249380111694336, 0.7087676525115967, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.346971046350106, 13.08581633194855, 13.828215598961217, 15.441510453139973, 31.270191688090563]}, "4": {"mean": 1.2615458965301514, "std": 1.3024611473083496, "pca": [0.5221808552742004, 0.22382314503192902, -0.2825780510902405, 0.7612987160682678, -0.13343271613121033, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.416439298770996, 23.7371436298716, 25.37126142165555, 27.9413099641499, 113.5391315817833]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.7087645530700684, "std": 3.8803677558898926, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [66.921766851579, 72.18844711350843, 73.51629030182657, 75.24019205007723, 333.78884729743004]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.647818, 0.099115, 0.0457, 0.151146, 0.587561], [-0.632678, 0.152801, 0.232085, -0.780668, 0.178839], [-0.24027, -0.549705, -0.007625, -0.23784, -0.008503], [0.298942, -0.458622, -0.210153, -0.179109, -0.493402], [0.853545, 0.167379, 0.148542, 0.100671, -0.338746]], "network.0.bias": [0.708902, 0.198777, -0.590721, -0.311299, -0.015601], "network.2.weight": [[0.261314, -0.007979, 0.245843, 0.438264, -0.125911], [-0.312386, 0.307171, -0.141812, -0.309722, 0.10862], [0.652241, 0.324837, 0.126623, 0.602305, -0.200459], [0.509896, 0.443475, -0.109877, 0.516141, -0.465904], [0.131881, -0.223189, -0.181649, -0.958494, 0.846155]], "network.2.bias": [-0.192841, -0.630991, -0.124723, 0.209392, 0.472913], "network.4.weight": [[-0.584611, 0.114528, -0.038752, 0.28337, -0.550061], [-0.024846, 0.339781, -0.436073, -0.668821, -0.224973], [0.025224, -0.584999, 0.377352, 0.614513, -0.13735], [-0.727243, -0.458264, -0.799282, -0.867383, 0.502444], [-0.245823, 0.411315, 0.392883, 0.326664, -0.448586]], "network.4.bias": [0.310785, -0.699014, -0.186547, 0.734114, 0.35498], "network.6.weight": [[-0.478843, -0.512685, -0.245423, 0.905939, -0.406254], [-0.270116, -0.033536, -0.012217, 0.788951, -0.481919], [0.371513, 0.183455, -0.388912, 0.36785, -0.028988], [0.294904, 0.137643, -0.140877, 0.453975, -0.223282], [-0.097269, -0.666119, -0.558344, 0.808839, 0.09948]], "network.6.bias": [0.703133, 0.496415, 0.369831, -0.04295, 0.44974], "network.8.weight": [[-0.767243, -0.970766, -0.624239, -0.791167, -0.67823]], "network.8.bias": [0.197091]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6872341632843018, "train_acc": 0.565, "val_loss": 0.6849392652511597, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732518076896667, "train_acc": 0.565, "val_loss": 0.664400041103363, "val_acc": 0.66}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6510973572731018, "train_acc": 0.65, "val_loss": 0.6298072934150696, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6040645241737366, "train_acc": 0.68, "val_loss": 0.5510849952697754, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5335268676280975, "train_acc": 0.735, "val_loss": 0.5407944321632385, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49641290307044983, "train_acc": 0.78, "val_loss": 0.5333409905433655, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4713736027479172, "train_acc": 0.78, "val_loss": 0.5181273818016052, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.44604796171188354, "train_acc": 0.785, "val_loss": 0.5049687027931213, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.45168592035770416, "train_acc": 0.785, "val_loss": 0.5090097188949585, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.44198234379291534, "train_acc": 0.785, "val_loss": 0.5136458873748779, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4189203679561615, "train_acc": 0.79, "val_loss": 0.4946230351924896, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.42394019663333893, "train_acc": 0.795, "val_loss": 0.4785003960132599, "val_acc": 0.74}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.4513140022754669, "train_acc": 0.79, "val_loss": 0.5348573327064514, "val_acc": 0.72}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6849392652511597, "final_val_loss": 0.6298072934150696, "initial_val_acc": 0.52, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5510849952697754, "final_val_loss": 0.5348573327064514, "initial_val_acc": 0.7, "final_val_acc": 0.72, "best_val_acc": 0.78, "best_epoch": 7}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
5
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.76, "improved_accuracy": 0.92, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9806, "learning_rate": 0.07052986855265303, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.566451, 1.945253, -1.907959, 0.738168, 0.317129, -0.347546, 2.790185, 1.624014]
std: [1.995541, 2.117515, 1.634357, 2.067862, 1.078556, 1.323905, 2.414140, 1.652774]
pca: [[-0.433329, 0.172339, -0.117763, 0.108992, 0.354858, 0.585638, 0.014919, 0.536338, 0.000000, 0.000000], [0.426834, 0.328345, 0.429898, 0.082989, 0.156765, 0.515030, -0.336101, -0.339864, 0.000000, 0.000000], [-0.266802, 0.451673, 0.224858, 0.715659, -0.170715, -0.350437, -0.091742, 0.041396, 0.000000, 0.000000], [0.307990, 0.707637, -0.189869, -0.298058, -0.251617, -0.013967, 0.414330, 0.210540, 0.000000, 0.000000], [-0.141197, 0.121772, 0.619709, -0.400059, 0.481098, -0.391425, 0.085313, 0.170881, 0.000000, 0.000000], [-0.243322, -0.195060, 0.483256, 0.037543, -0.394890, 0.334021, 0.613168, -0.155942, 0.000000, 0.000000], [0.509175, -0.306320, 0.275835, 0.187114, -0.217211, -0.014698, -0.079541, 0.694326, 0.000000, 0.000000], [0.354396, -0.104982, -0.145078, 0.428671, 0.567866, -0.061411, 0.563159, -0.123230, 0.000000, 0.000000]]
fourier: [[30.737626, 35.351792, 37.748856, 38.195041, 230.980567], [35.280809, 36.924142, 39.822089, 42.081272, 175.072822], [24.166652, 24.389940, 25.443774, 31.438057, 171.716305], [34.935489, 35.818023, 38.739787, 48.819426, 66.435101], [16.180714, 17.968999, 19.500065, 19.718287, 28.541633], [23.765967, 23.992881, 26.490841, 27.863336, 31.279097], [37.366112, 39.057075, 46.862748, 48.659718, 251.116640], [23.712495, 27.926771, 30.207063, 30.773003, 146.161251]]
### 2
mean: [-0.238468, -1.078689, 3.349745, -2.154031, 4.128436, -2.910718, -2.478590, -0.550217]
std: [1.158417, 2.069071, 3.056388, 1.212624, 3.853568, 1.932959, 2.853817, 1.417027]
pca: [[-0.170877, -0.138979, 0.170586, 0.663525, 0.585625, -0.236346, -0.225061, -0.180702, 0.000000, 0.000000], [-0.307790, -0.417357, -0.011729, 0.256099, 0.006820, 0.336563, 0.698468, 0.253329, 0.000000, 0.000000], [0.455425, 0.225949, 0.616183, -0.121914, 0.378671, 0.083193, 0.204177, 0.393687, 0.000000, 0.000000], [-0.169726, 0.554425, 0.119134, 0.348517, -0.388035, -0.502019, 0.339003, 0.103107, 0.000000, 0.000000], [0.580343, -0.018930, 0.076916, 0.502027, -0.377634, 0.376780, 0.009541, -0.346748, 0.000000, 0.000000], [-0.279938, 0.658640, -0.216008, 0.097168, 0.244454, 0.606928, -0.056638, -0.020010, 0.000000, 0.000000], [-0.424183, -0.023376, 0.686234, -0.213237, -0.177882, 0.162643, -0.008302, -0.494947, 0.000000, 0.000000], [-0.211548, -0.115528, 0.231076, 0.225563, -0.359203, 0.187469, -0.549100, 0.609872, 0.000000, 0.000000]]
fourier: [[18.876057, 19.599145, 21.287809, 21.462102, 22.879071], [35.506645, 39.656944, 40.273598, 40.310667, 97.082043], [54.118396, 55.723783, 57.421243, 58.516133, 301.477016], [18.283122, 18.516239, 24.696675, 24.992473, 193.862774], [63.116857, 66.684352, 70.449242, 73.146616, 371.559250], [29.961277, 31.489315, 35.418250, 39.849158, 261.964657], [46.604895, 49.384049, 50.502085, 53.684512, 223.073052], [24.172248, 24.424529, 25.427261, 27.370561, 49.519533]]
### 4
mean: [1.137029, 3.127176, -0.822477, -0.814535, -1.088338, 0.470832, 3.965856, -0.658711]
std: [0.807034, 3.056396, 0.328992, 0.439935, 0.629270, 1.033321, 3.698067, 1.336643]
pca: [[-0.074885, 0.731700, 0.463468, -0.205443, -0.163575, 0.102832, -0.267125, -0.305470, 0.000000, 0.000000], [0.596220, 0.083657, 0.136061, 0.562056, -0.207737, 0.186585, -0.327633, 0.343208, 0.000000, 0.000000], [-0.047738, -0.223137, 0.234120, 0.125092, 0.532769, 0.723150, -0.034190, -0.263655, 0.000000, 0.000000], [-0.060277, -0.296861, 0.711295, -0.029876, -0.358960, 0.031588, 0.490008, 0.177340, 0.000000, 0.000000], [-0.118804, -0.141876, 0.442677, 0.186396, 0.508683, -0.595059, -0.343758, 0.063464, 0.000000, 0.000000], [-0.186650, 0.403946, -0.079057, 0.661351, 0.149611, -0.115325, 0.548001, -0.149550, 0.000000, 0.000000], [0.721025, 0.164579, 0.060583, -0.344014, 0.386263, -0.150064, 0.394366, -0.061471, 0.000000, 0.000000], [-0.253323, 0.330625, -0.007064, -0.186740, 0.295047, 0.201877, 0.077615, 0.811025, 0.000000, 0.000000]]
fourier: [[10.277511, 11.331481, 12.773728, 14.677116, 102.332604], [51.621655, 56.071816, 57.095669, 58.093687, 281.445853], [5.650190, 5.990148, 6.012330, 6.106953, 74.022906], [6.953011, 7.467756, 7.687956, 7.770919, 73.308183], [9.967202, 10.179838, 10.619238, 12.539322, 97.950459], [16.004035, 16.704781, 18.955073, 22.268735, 42.374844], [62.852444, 67.005368, 67.947338, 69.659277, 356.927013], [20.903666, 23.841398, 24.958716, 28.102220, 59.283957]]
### 6
mean: [1.126532, 0.725030, -1.543706, -1.324635, -2.248917, 1.395290, 3.036559, -2.061425]
std: [1.395648, 1.821951, 0.906602, 0.634545, 1.739375, 2.472058, 3.987595, 1.081501]
pca: [[-0.216161, 0.547962, -0.169501, -0.253544, 0.196934, 0.521962, 0.480609, 0.133355, 0.000000, 0.000000], [-0.303164, 0.529655, 0.591804, 0.175995, -0.035650, -0.479006, 0.066840, 0.105667, 0.000000, 0.000000], [-0.153522, -0.229848, -0.192223, 0.763505, 0.323213, -0.028352, 0.349831, 0.275789, 0.000000, 0.000000], [-0.101829, -0.219924, 0.185772, -0.295876, 0.803406, -0.185569, 0.087394, -0.362870, 0.000000, 0.000000], [-0.297458, -0.410433, -0.065719, -0.402262, -0.328616, -0.346885, 0.552068, 0.209363, 0.000000, 0.000000], [0.443756, 0.000611, 0.261171, 0.205256, -0.226286, 0.086620, 0.556069, -0.569929, 0.000000, 0.000000], [0.715765, 0.045818, 0.157386, -0.174085, 0.221008, -0.140369, 0.132401, 0.586880, 0.000000, 0.000000], [-0.172361, -0.383994, 0.672515, 0.002904, -0.044495, 0.561545, -0.054821, 0.224136, 0.000000, 0.000000]]
fourier: [[20.873871, 23.298231, 23.887838, 29.765296, 101.387908], [29.323764, 30.182035, 32.210340, 39.640080, 65.252729], [15.642606, 15.646815, 16.381615, 17.701975, 138.933523], [11.046368, 11.067937, 11.075457, 11.687808, 119.217183], [29.436082, 30.172080, 30.440415, 32.353660, 202.402500], [40.735467, 44.653302, 45.990789, 49.147361, 125.576073], [65.586528, 73.087126, 74.278471, 79.071900, 273.290280], [18.211340, 18.389425, 18.850998, 20.829555, 185.528226]]
### 8
mean: [-1.050318, 2.241925, 0.221601, -0.913501, 0.616038, -1.266691, -0.908404, 1.102303]
std: [0.373068, 3.538824, 3.510443, 0.717124, 0.818088, 0.403932, 0.660809, 2.791119]
pca: [[-0.036083, -0.306384, 0.249794, 0.406733, 0.123446, 0.657044, 0.477527, 0.044954, 0.000000, 0.000000], [0.604110, 0.527169, 0.339486, 0.225583, 0.330479, -0.026617, -0.007857, -0.284637, 0.000000, 0.000000], [-0.597057, 0.600918, -0.026517, 0.188051, 0.339976, 0.077677, -0.033727, 0.351567, 0.000000, 0.000000], [-0.116269, -0.244381, 0.286571, -0.132497, 0.430656, -0.608094, 0.515196, 0.080064, 0.000000, 0.000000], [0.137482, 0.184296, -0.513238, 0.513278, -0.341846, -0.301437, 0.458683, 0.046394, 0.000000, 0.000000], [-0.008070, -0.397785, -0.321746, 0.495213, 0.509349, -0.132596, -0.446406, -0.129029, 0.000000, 0.000000], [-0.112776, -0.094182, 0.603992, 0.464259, -0.426915, -0.284419, -0.298744, 0.213705, 0.000000, 0.000000], [0.481735, -0.079555, -0.088236, -0.080837, 0.126269, 0.049321, -0.080155, 0.849989, 0.000000, 0.000000]]
fourier: [[5.964591, 6.644223, 6.869607, 7.136075, 94.528597], [59.149919, 62.138551, 64.794354, 67.559609, 201.773219], [52.524141, 55.561648, 56.110097, 64.511531, 74.706317], [12.033319, 12.314630, 12.713308, 13.100297, 82.215063], [14.090611, 14.572510, 14.862254, 15.036667, 55.443432], [6.514859, 6.600905, 6.687210, 7.131861, 114.002163], [11.265803, 11.651214, 12.542682, 12.679182, 81.756353], [45.045025, 45.781598, 51.935051, 57.413032, 99.207312]]
### 10
mean: [-0.925487]
std: [3.204360]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.409118, 52.887762, 59.108166, 65.350005, 83.293837]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.294876,
-0.410527,
0.134756
],
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-0.004947,
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],
[
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0.488187
],
[
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-0.136031,
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],
[
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],
[
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-0.096331,
-0.179623,
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## Activation Signature
### 0
mean: [-2.566451, 1.945253, -1.907959, 0.738168, 0.317129, -0.347546, 2.790185, 1.624014]
std: [1.995541, 2.117515, 1.634357, 2.067862, 1.078556, 1.323905, 2.414140, 1.652774]
pca: [[-0.433329, 0.172339, -0.117763, 0.108992, 0.354858, 0.585638, 0.014919, 0.536338, 0.000000, 0.000000], [0.426834, 0.328345, 0.429898, 0.082989, 0.156765, 0.515030, -0.336101, -0.339864, 0.000000, 0.000000], [-0.266802, 0.451673, 0.224858, 0.715659, -0.170715, -0.350437, -0.091742, 0.041396, 0.000000, 0.000000], [0.307990, 0.707637, -0.189869, -0.298058, -0.251617, -0.013967, 0.414330, 0.210540, 0.000000, 0.000000], [-0.141197, 0.121772, 0.619709, -0.400059, 0.481098, -0.391425, 0.085313, 0.170881, 0.000000, 0.000000], [-0.243322, -0.195060, 0.483256, 0.037543, -0.394890, 0.334021, 0.613168, -0.155942, 0.000000, 0.000000], [0.509175, -0.306320, 0.275835, 0.187114, -0.217211, -0.014698, -0.079541, 0.694326, 0.000000, 0.000000], [0.354396, -0.104982, -0.145078, 0.428671, 0.567866, -0.061411, 0.563159, -0.123230, 0.000000, 0.000000]]
fourier: [[30.737626, 35.351792, 37.748856, 38.195041, 230.980567], [35.280809, 36.924142, 39.822089, 42.081272, 175.072822], [24.166652, 24.389940, 25.443774, 31.438057, 171.716305], [34.935489, 35.818023, 38.739787, 48.819426, 66.435101], [16.180714, 17.968999, 19.500065, 19.718287, 28.541633], [23.765967, 23.992881, 26.490841, 27.863336, 31.279097], [37.366112, 39.057075, 46.862748, 48.659718, 251.116640], [23.712495, 27.926771, 30.207063, 30.773003, 146.161251]]
### 2
mean: [-0.238468, -1.078689, 3.349745, -2.154031, 4.128436, -2.910718, -2.478590, -0.550217]
std: [1.158417, 2.069071, 3.056388, 1.212624, 3.853568, 1.932959, 2.853817, 1.417027]
pca: [[-0.170877, -0.138979, 0.170586, 0.663525, 0.585625, -0.236346, -0.225061, -0.180702, 0.000000, 0.000000], [-0.307790, -0.417357, -0.011729, 0.256099, 0.006820, 0.336563, 0.698468, 0.253329, 0.000000, 0.000000], [0.455425, 0.225949, 0.616183, -0.121914, 0.378671, 0.083193, 0.204177, 0.393687, 0.000000, 0.000000], [-0.169726, 0.554425, 0.119134, 0.348517, -0.388035, -0.502019, 0.339003, 0.103107, 0.000000, 0.000000], [0.580343, -0.018930, 0.076916, 0.502027, -0.377634, 0.376780, 0.009541, -0.346748, 0.000000, 0.000000], [-0.279938, 0.658640, -0.216008, 0.097168, 0.244454, 0.606928, -0.056638, -0.020010, 0.000000, 0.000000], [-0.424183, -0.023376, 0.686234, -0.213237, -0.177882, 0.162643, -0.008302, -0.494947, 0.000000, 0.000000], [-0.211548, -0.115528, 0.231076, 0.225563, -0.359203, 0.187469, -0.549100, 0.609872, 0.000000, 0.000000]]
fourier: [[18.876057, 19.599145, 21.287809, 21.462102, 22.879071], [35.506645, 39.656944, 40.273598, 40.310667, 97.082043], [54.118396, 55.723783, 57.421243, 58.516133, 301.477016], [18.283122, 18.516239, 24.696675, 24.992473, 193.862774], [63.116857, 66.684352, 70.449242, 73.146616, 371.559250], [29.961277, 31.489315, 35.418250, 39.849158, 261.964657], [46.604895, 49.384049, 50.502085, 53.684512, 223.073052], [24.172248, 24.424529, 25.427261, 27.370561, 49.519533]]
### 4
mean: [1.137029, 3.127176, -0.822477, -0.814535, -1.088338, 0.470832, 3.965856, -0.658711]
std: [0.807034, 3.056396, 0.328992, 0.439935, 0.629270, 1.033321, 3.698067, 1.336643]
pca: [[-0.074885, 0.731700, 0.463468, -0.205443, -0.163575, 0.102832, -0.267125, -0.305470, 0.000000, 0.000000], [0.596220, 0.083657, 0.136061, 0.562056, -0.207737, 0.186585, -0.327633, 0.343208, 0.000000, 0.000000], [-0.047738, -0.223137, 0.234120, 0.125092, 0.532769, 0.723150, -0.034190, -0.263655, 0.000000, 0.000000], [-0.060277, -0.296861, 0.711295, -0.029876, -0.358960, 0.031588, 0.490008, 0.177340, 0.000000, 0.000000], [-0.118804, -0.141876, 0.442677, 0.186396, 0.508683, -0.595059, -0.343758, 0.063464, 0.000000, 0.000000], [-0.186650, 0.403946, -0.079057, 0.661351, 0.149611, -0.115325, 0.548001, -0.149550, 0.000000, 0.000000], [0.721025, 0.164579, 0.060583, -0.344014, 0.386263, -0.150064, 0.394366, -0.061471, 0.000000, 0.000000], [-0.253323, 0.330625, -0.007064, -0.186740, 0.295047, 0.201877, 0.077615, 0.811025, 0.000000, 0.000000]]
fourier: [[10.277511, 11.331481, 12.773728, 14.677116, 102.332604], [51.621655, 56.071816, 57.095669, 58.093687, 281.445853], [5.650190, 5.990148, 6.012330, 6.106953, 74.022906], [6.953011, 7.467756, 7.687956, 7.770919, 73.308183], [9.967202, 10.179838, 10.619238, 12.539322, 97.950459], [16.004035, 16.704781, 18.955073, 22.268735, 42.374844], [62.852444, 67.005368, 67.947338, 69.659277, 356.927013], [20.903666, 23.841398, 24.958716, 28.102220, 59.283957]]
### 6
mean: [1.126532, 0.725030, -1.543706, -1.324635, -2.248917, 1.395290, 3.036559, -2.061425]
std: [1.395648, 1.821951, 0.906602, 0.634545, 1.739375, 2.472058, 3.987595, 1.081501]
pca: [[-0.216161, 0.547962, -0.169501, -0.253544, 0.196934, 0.521962, 0.480609, 0.133355, 0.000000, 0.000000], [-0.303164, 0.529655, 0.591804, 0.175995, -0.035650, -0.479006, 0.066840, 0.105667, 0.000000, 0.000000], [-0.153522, -0.229848, -0.192223, 0.763505, 0.323213, -0.028352, 0.349831, 0.275789, 0.000000, 0.000000], [-0.101829, -0.219924, 0.185772, -0.295876, 0.803406, -0.185569, 0.087394, -0.362870, 0.000000, 0.000000], [-0.297458, -0.410433, -0.065719, -0.402262, -0.328616, -0.346885, 0.552068, 0.209363, 0.000000, 0.000000], [0.443756, 0.000611, 0.261171, 0.205256, -0.226286, 0.086620, 0.556069, -0.569929, 0.000000, 0.000000], [0.715765, 0.045818, 0.157386, -0.174085, 0.221008, -0.140369, 0.132401, 0.586880, 0.000000, 0.000000], [-0.172361, -0.383994, 0.672515, 0.002904, -0.044495, 0.561545, -0.054821, 0.224136, 0.000000, 0.000000]]
fourier: [[20.873871, 23.298231, 23.887838, 29.765296, 101.387908], [29.323764, 30.182035, 32.210340, 39.640080, 65.252729], [15.642606, 15.646815, 16.381615, 17.701975, 138.933523], [11.046368, 11.067937, 11.075457, 11.687808, 119.217183], [29.436082, 30.172080, 30.440415, 32.353660, 202.402500], [40.735467, 44.653302, 45.990789, 49.147361, 125.576073], [65.586528, 73.087126, 74.278471, 79.071900, 273.290280], [18.211340, 18.389425, 18.850998, 20.829555, 185.528226]]
### 8
mean: [-1.050318, 2.241925, 0.221601, -0.913501, 0.616038, -1.266691, -0.908404, 1.102303]
std: [0.373068, 3.538824, 3.510443, 0.717124, 0.818088, 0.403932, 0.660809, 2.791119]
pca: [[-0.036083, -0.306384, 0.249794, 0.406733, 0.123446, 0.657044, 0.477527, 0.044954, 0.000000, 0.000000], [0.604110, 0.527169, 0.339486, 0.225583, 0.330479, -0.026617, -0.007857, -0.284637, 0.000000, 0.000000], [-0.597057, 0.600918, -0.026517, 0.188051, 0.339976, 0.077677, -0.033727, 0.351567, 0.000000, 0.000000], [-0.116269, -0.244381, 0.286571, -0.132497, 0.430656, -0.608094, 0.515196, 0.080064, 0.000000, 0.000000], [0.137482, 0.184296, -0.513238, 0.513278, -0.341846, -0.301437, 0.458683, 0.046394, 0.000000, 0.000000], [-0.008070, -0.397785, -0.321746, 0.495213, 0.509349, -0.132596, -0.446406, -0.129029, 0.000000, 0.000000], [-0.112776, -0.094182, 0.603992, 0.464259, -0.426915, -0.284419, -0.298744, 0.213705, 0.000000, 0.000000], [0.481735, -0.079555, -0.088236, -0.080837, 0.126269, 0.049321, -0.080155, 0.849989, 0.000000, 0.000000]]
fourier: [[5.964591, 6.644223, 6.869607, 7.136075, 94.528597], [59.149919, 62.138551, 64.794354, 67.559609, 201.773219], [52.524141, 55.561648, 56.110097, 64.511531, 74.706317], [12.033319, 12.314630, 12.713308, 13.100297, 82.215063], [14.090611, 14.572510, 14.862254, 15.036667, 55.443432], [6.514859, 6.600905, 6.687210, 7.131861, 114.002163], [11.265803, 11.651214, 12.542682, 12.679182, 81.756353], [45.045025, 45.781598, 51.935051, 57.413032, 99.207312]]
### 10
mean: [-0.925487]
std: [3.204360]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.409118, 52.887762, 59.108166, 65.350005, 83.293837]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.614886, -0.291558, -0.294876, -0.410527, 0.134756], [0.809503, 0.219455, 0.219182, -0.004947, 0.221042], [-0.204296, -0.234692, -0.367936, -0.470231, 0.488187], [0.944903, -0.410552, 0.259756, -0.136031, 0.013382], [-0.414298, 0.24355, 0.073681, -0.424472, 0.345273], [-0.678641, 0.247271, -0.096331, -0.179623, 0.301119], [0.664708, 0.496266, 0.241194, 0.512651, -0.080753], [0.666493, 0.166491, 0.015364, 0.363683, -0.193538]], "network.0.bias": [0.060142, -0.181881, -0.051199, 0.043011, 0.719405, 0.261439, -0.444897, -0.082078], "network.2.weight": [[-0.044294, -0.105548, -0.027221, -0.206904, 0.188004, 0.429362, -0.446411, 0.315572], [0.597407, -0.135345, 0.235042, -0.569913, 0.322816, 0.143393, -0.434044, 0.091012], [0.023696, 0.383775, -0.206009, 0.681553, 0.224309, 0.000254, 0.433681, 0.253998], [0.071158, -0.001875, 0.065303, 0.001765, -0.469389, 0.005162, -0.445773, -0.189866], [-0.222892, 0.319081, 0.167537, 0.640014, 0.019786, 0.137199, 0.577413, 0.694222], [0.281417, -0.385196, -0.009111, 0.054652, -0.395977, -0.30935, -0.364401, -0.358135], [0.130781, 0.091809, 0.291136, -0.532687, 0.345733, -0.074725, -0.677085, -0.414999], [0.571097, 0.012173, 0.334347, -0.319927, 0.124838, 0.097774, -0.3737, -0.047101]], "network.2.bias": [0.685823, 0.632083, 0.061583, -0.284003, -0.057968, -0.238452, 0.330698, 0.785897], "network.4.weight": [[0.454589, 0.593661, 0.351248, 0.151623, -0.251849, -0.158671, 0.572373, 0.58256], [0.273055, -0.176586, 0.452622, 0.384082, 0.425855, -0.086901, -0.028091, -0.294115], [-0.34733, 0.152592, 0.005943, -0.213706, -0.111773, -0.235395, -0.221955, -0.321266], [-0.219831, -0.349399, 0.172135, -0.237972, -0.27954, -0.245902, 0.271767, -0.530239], [-0.368988, 0.09589, 0.071923, 0.256392, -0.244165, -0.189567, -0.128155, -0.067391], [0.338405, 0.390571, -0.018454, 0.025593, -0.148907, 0.303605, -0.211524, 0.665558], [-0.029061, 0.146032, 0.501901, -0.147537, 0.557516, 0.225879, 0.173864, -0.294606], [0.080198, 0.500731, -0.065923, -0.007887, -0.216392, 0.283885, 0.079954, 0.459998]], "network.4.bias": [0.475395, -0.106679, -0.192971, 0.034328, -0.192684, 0.783112, 0.015024, 0.167668], "network.6.weight": [[0.652046, -0.36903, -0.210255, -0.377733, 0.140415, 0.745448, 0.184406, 0.019442], [0.78058, -0.232424, -0.220306, -0.100543, -0.164293, 0.405932, -0.068765, 0.429309], [-0.443537, -0.207914, 0.279746, -0.33491, -0.242595, 0.139062, -0.077288, 0.235332], [-0.032086, -0.137875, -0.242526, 0.133623, -0.258947, -0.191084, -0.09287, -0.172564], [-0.166274, -0.032024, -0.169387, 0.026219, 0.024342, -0.034809, -0.480389, -0.314925], [-0.175258, 0.426243, 0.022618, -0.273356, -0.537172, -0.583373, 0.217775, 0.147094], [-0.175834, 0.505151, 0.352497, 0.202338, 0.293989, -0.777486, 0.517412, -0.070741], [-0.092731, 0.130497, -0.026145, 0.078665, 0.040088, -0.528748, -0.466538, 0.068055]], "network.6.bias": [0.304047, 0.454036, -0.234141, -0.310698, 0.052046, -0.253177, 0.140796, -0.175017], "network.8.weight": [[-0.300456, 0.019333, -0.282352, 0.291371, 0.238673, 0.035182, -0.169713, 0.293109], [-0.174009, -0.203818, 0.02285, 0.175839, -0.112035, 0.484472, 0.58909, 0.200997], [0.725299, 0.73161, 0.089137, 0.149949, 0.188008, -0.313754, -0.322816, -0.196745], [-0.09597, -0.003262, -0.054916, -0.051813, 0.094712, 0.0904, -0.274368, -0.14529], [-0.001005, 0.024203, 0.037291, 0.078396, -0.377483, -0.250964, 0.376805, -0.166439], [-0.297147, -0.066257, -0.388637, 0.341297, -0.208134, -0.259171, 0.01753, 0.336323], [-0.192834, 0.201199, 0.04149, -0.199808, 0.133956, 0.179992, -0.28344, 0.142172], [-0.329687, -0.433672, 0.140568, -0.061804, 0.040679, 0.210314, 0.419233, 0.069817]], "network.8.bias": [-0.2012, -0.158675, 0.184118, -0.028512, -0.239913, -0.442973, -0.258768, 0.193805], "network.10.weight": [[0.101312, -0.387835, 0.535056, -0.044861, -0.161872, 0.071988, -0.284451, -0.486421]], "network.10.bias": [0.221716]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6726362407207489, "train_acc": 0.635, "val_loss": 0.6981194019317627, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5862091779708862, "train_acc": 0.625, "val_loss": 0.47465336322784424, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5246785134077072, "train_acc": 0.715, "val_loss": 0.43130069971084595, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.47843068838119507, "train_acc": 0.795, "val_loss": 0.2763647735118866, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4165816158056259, "train_acc": 0.8, "val_loss": 0.22539307177066803, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4069860279560089, "train_acc": 0.86, "val_loss": 0.23162052035331726, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.26562991738319397, "train_acc": 0.905, "val_loss": 0.48012062907218933, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.303755983710289, "train_acc": 0.855, "val_loss": 0.24684719741344452, "val_acc": 0.92}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6981194019317627, "final_val_loss": 0.47465336322784424, "initial_val_acc": 0.46, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.43130069971084595, "final_val_loss": 0.24684719741344452, "initial_val_acc": 0.82, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
6
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.64, "improved_accuracy": 0.88, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9859, "learning_rate": 0.015384002471586396, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [1.217334, -1.963854, 1.994532, 0.046313, 0.161853]
std: [1.550027, 1.442223, 1.786140, 1.691935, 1.705471]
pca: [[0.524946, -0.251074, 0.264535, -0.321480, 0.698617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049670, 0.516674, 0.812863, 0.261839, 0.035702, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539836, -0.491631, 0.276379, 0.289988, -0.553533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.475818, 0.388857, -0.428312, 0.621220, 0.230265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451818, 0.526402, -0.097147, -0.598401, -0.388896, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.471288, 25.911465, 29.858505, 30.079178, 109.560051], [23.701980, 24.501070, 24.748409, 25.909844, 176.746844], [28.233049, 29.321250, 29.711598, 33.416894, 179.507928], [24.348371, 26.316714, 26.722674, 27.070616, 34.196981], [25.795187, 26.579171, 26.793738, 31.966790, 34.147315]]
### 2
mean: [2.069457, -0.340105, 2.206960, 1.393422, 0.635999]
std: [1.902533, 0.757616, 1.943064, 1.562843, 0.975517]
pca: [[0.585084, -0.315247, 0.270173, 0.368495, -0.591197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083351, 0.690171, -0.077308, 0.713477, -0.041130, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.603772, -0.154461, -0.467038, 0.203549, 0.593333, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451402, 0.575988, -0.248952, -0.549675, -0.316788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287097, 0.262036, 0.800580, -0.107644, 0.443166, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.801003, 31.279990, 34.605409, 38.054924, 186.251144], [11.215475, 11.375676, 11.718379, 14.648453, 30.609454], [30.853403, 31.983688, 34.818902, 40.272129, 198.626373], [25.458023, 26.947591, 30.348901, 30.739726, 125.407959], [15.958793, 17.790964, 17.836743, 20.071533, 57.239932]]
### 4
mean: [-0.497121, -0.644642, 3.053239, 2.438516, 3.171563]
std: [0.161968, 0.297779, 2.852001, 2.269975, 2.992706]
pca: [[-0.029283, 0.130216, 0.412491, 0.507054, 0.744939, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055777, -0.217431, 0.849040, 0.059174, -0.474597, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602407, 0.728189, 0.065998, 0.181520, -0.263707, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.479346, -0.577795, -0.242525, 0.595557, -0.151241, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.635110, -0.267696, 0.214028, -0.593091, 0.356943, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.452208, 2.848619, 2.872604, 2.937460, 44.740898], [4.774807, 4.867843, 4.977945, 6.378562, 58.017797], [47.377347, 49.143830, 55.409101, 58.369456, 274.791507], [37.735202, 38.077262, 42.067732, 46.226822, 219.466402], [49.863192, 50.992613, 56.601183, 60.760706, 285.440637]]
### 6
mean: [-2.885563, -0.328635, 4.765162, -0.697957, 3.232405]
std: [2.665939, 0.247049, 4.561427, 0.997184, 2.950307]
pca: [[-0.434826, 0.118422, 0.157096, -0.174321, 0.861299, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032293, 0.494758, 0.273941, 0.823457, 0.032368, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.743778, -0.417939, 0.118263, 0.222991, 0.456520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161745, -0.327796, 0.898745, -0.099706, -0.220693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480121, 0.677546, 0.280267, -0.481524, 0.000656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.505356, 45.531909, 50.576862, 54.501609, 259.700626], [4.015035, 4.412937, 4.632899, 4.893211, 29.577123], [76.127110, 78.055387, 86.838381, 93.205415, 428.864560], [16.600920, 16.637372, 18.309127, 20.359629, 62.816150], [49.083226, 49.680355, 54.879912, 59.806664, 290.916447]]
### 8
mean: [-3.433625]
std: [3.424493]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.151025, 58.202085, 64.912455, 70.074450, 309.026221]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [1.217334, -1.963854, 1.994532, 0.046313, 0.161853]
std: [1.550027, 1.442223, 1.786140, 1.691935, 1.705471]
pca: [[0.524946, -0.251074, 0.264535, -0.321480, 0.698617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.049670, 0.516674, 0.812863, 0.261839, 0.035702, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539836, -0.491631, 0.276379, 0.289988, -0.553533, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.475818, 0.388857, -0.428312, 0.621220, 0.230265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451818, 0.526402, -0.097147, -0.598401, -0.388896, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.471288, 25.911465, 29.858505, 30.079178, 109.560051], [23.701980, 24.501070, 24.748409, 25.909844, 176.746844], [28.233049, 29.321250, 29.711598, 33.416894, 179.507928], [24.348371, 26.316714, 26.722674, 27.070616, 34.196981], [25.795187, 26.579171, 26.793738, 31.966790, 34.147315]]
### 2
mean: [2.069457, -0.340105, 2.206960, 1.393422, 0.635999]
std: [1.902533, 0.757616, 1.943064, 1.562843, 0.975517]
pca: [[0.585084, -0.315247, 0.270173, 0.368495, -0.591197, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083351, 0.690171, -0.077308, 0.713477, -0.041130, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.603772, -0.154461, -0.467038, 0.203549, 0.593333, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451402, 0.575988, -0.248952, -0.549675, -0.316788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287097, 0.262036, 0.800580, -0.107644, 0.443166, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.801003, 31.279990, 34.605409, 38.054924, 186.251144], [11.215475, 11.375676, 11.718379, 14.648453, 30.609454], [30.853403, 31.983688, 34.818902, 40.272129, 198.626373], [25.458023, 26.947591, 30.348901, 30.739726, 125.407959], [15.958793, 17.790964, 17.836743, 20.071533, 57.239932]]
### 4
mean: [-0.497121, -0.644642, 3.053239, 2.438516, 3.171563]
std: [0.161968, 0.297779, 2.852001, 2.269975, 2.992706]
pca: [[-0.029283, 0.130216, 0.412491, 0.507054, 0.744939, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055777, -0.217431, 0.849040, 0.059174, -0.474597, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602407, 0.728189, 0.065998, 0.181520, -0.263707, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.479346, -0.577795, -0.242525, 0.595557, -0.151241, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.635110, -0.267696, 0.214028, -0.593091, 0.356943, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.452208, 2.848619, 2.872604, 2.937460, 44.740898], [4.774807, 4.867843, 4.977945, 6.378562, 58.017797], [47.377347, 49.143830, 55.409101, 58.369456, 274.791507], [37.735202, 38.077262, 42.067732, 46.226822, 219.466402], [49.863192, 50.992613, 56.601183, 60.760706, 285.440637]]
### 6
mean: [-2.885563, -0.328635, 4.765162, -0.697957, 3.232405]
std: [2.665939, 0.247049, 4.561427, 0.997184, 2.950307]
pca: [[-0.434826, 0.118422, 0.157096, -0.174321, 0.861299, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032293, 0.494758, 0.273941, 0.823457, 0.032368, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.743778, -0.417939, 0.118263, 0.222991, 0.456520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161745, -0.327796, 0.898745, -0.099706, -0.220693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480121, 0.677546, 0.280267, -0.481524, 0.000656, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.505356, 45.531909, 50.576862, 54.501609, 259.700626], [4.015035, 4.412937, 4.632899, 4.893211, 29.577123], [76.127110, 78.055387, 86.838381, 93.205415, 428.864560], [16.600920, 16.637372, 18.309127, 20.359629, 62.816150], [49.083226, 49.680355, 54.879912, 59.806664, 290.916447]]
### 8
mean: [-3.433625]
std: [3.424493]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.151025, 58.202085, 64.912455, 70.074450, 309.026221]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.53874, 0.095427, 0.342057, 0.124776, -0.426113], [-0.089817, -0.06496, -0.164535, -0.46801, -0.379977], [0.801181, 0.151373, -0.021353, 0.24219, -0.341588], [0.54857, -0.071235, 0.069991, -0.503239, 0.255823], [0.10131, 0.035387, 0.643488, -0.514993, -0.13073]], "network.0.bias": [-0.083544, 0.082244, 0.668204, 0.110906, -0.107273], "network.2.weight": [[0.454711, -0.216142, 0.603563, 0.268836, 0.173495], [-0.13386, -0.00099, -0.277303, 0.02553, 0.525892], [0.538575, -0.117117, 0.578551, 0.08165, 0.40073], [0.732254, 0.057687, -0.084107, 0.260487, 0.642834], [0.396457, -0.130418, -0.055382, 0.437957, 0.203077]], "network.2.bias": [-0.074697, -0.008319, -0.042977, -0.084599, -0.237033], "network.4.weight": [[0.028013, 0.312583, -0.064444, -0.171507, 0.186128], [0.180827, 0.054785, -0.261857, -0.272733, 0.337052], [0.787963, 0.579353, 0.127365, 0.673624, 0.13897], [0.515851, 0.247757, 0.625378, -0.204591, 0.424498], [0.589447, -0.049996, 0.565408, 0.185401, 0.620001]], "network.4.bias": [-0.351487, -0.300211, -0.006415, -0.059308, 0.0123], "network.6.weight": [[0.390837, -0.374882, -0.283566, -0.381474, -0.334873], [-0.390806, -0.397559, -0.322201, 0.124676, 0.143966], [0.405974, 0.299639, 0.54219, 0.393891, 0.714221], [-0.213986, -0.03172, -0.032923, -0.653653, 0.193525], [0.219681, 0.139951, -0.190357, 0.669197, 0.657931]], "network.6.bias": [-0.026605, -0.105723, -0.116907, 0.384144, 0.093679], "network.8.weight": [[-0.366589, 0.146977, -0.632765, 0.314156, -0.176622]], "network.8.bias": [0.132929]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6981912553310394, "train_acc": 0.455, "val_loss": 0.6990344524383545, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6930713355541229, "train_acc": 0.495, "val_loss": 0.6893063187599182, "val_acc": 0.64}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6886858642101288, "train_acc": 0.545, "val_loss": 0.679652988910675, "val_acc": 0.64}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6824103891849518, "train_acc": 0.545, "val_loss": 0.6670619249343872, "val_acc": 0.64}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6737909018993378, "train_acc": 0.545, "val_loss": 0.6493815779685974, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.676382452249527, "train_acc": 0.465, "val_loss": 0.6330050826072693, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.655085951089859, "train_acc": 0.465, "val_loss": 0.601656436920166, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6212534606456757, "train_acc": 0.465, "val_loss": 0.5544805526733398, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5749837458133698, "train_acc": 0.465, "val_loss": 0.5012485384941101, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5417050421237946, "train_acc": 0.8, "val_loss": 0.45333442091941833, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5004124492406845, "train_acc": 0.825, "val_loss": 0.4135027229785919, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.46451182663440704, "train_acc": 0.85, "val_loss": 0.38406825065612793, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.43698881566524506, "train_acc": 0.87, "val_loss": 0.3582006096839905, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.4255380481481552, "train_acc": 0.905, "val_loss": 0.3392574191093445, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.392903596162796, "train_acc": 0.91, "val_loss": 0.32934805750846863, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6990344524383545, "final_val_loss": 0.6493815779685974, "initial_val_acc": 0.36, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6330050826072693, "final_val_loss": 0.32934805750846863, "initial_val_acc": 0.64, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.24, "first_improvement_epoch": 4}}
|
7
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4854, "learning_rate": 0.09414589333639692, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.4.weight": [
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"network.4.bias": [
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"network.6.weight": [
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[
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[
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.021575, 1.674903, 1.058969, 1.142064, -1.119240, -2.617912, -1.659665, 1.273621]
std: [1.246689, 2.255405, 1.464877, 1.895494, 1.710696, 1.581443, 1.817697, 1.862671]
pca: [[0.046181, 0.315451, -0.184851, 0.617709, -0.019752, 0.069089, -0.428093, -0.542399, 0.000000, 0.000000], [0.600065, -0.271400, -0.044013, 0.369083, -0.086465, -0.081663, -0.308353, 0.564694, 0.000000, 0.000000], [0.242271, 0.068133, 0.562128, 0.288577, 0.599911, -0.213671, 0.342094, -0.121741, 0.000000, 0.000000], [-0.384746, -0.240361, 0.556972, 0.329486, -0.574454, -0.213058, 0.003022, 0.004263, 0.000000, 0.000000], [0.402498, 0.300971, 0.298330, -0.043742, -0.377286, 0.665823, 0.261413, -0.049951, 0.000000, 0.000000], [-0.114132, 0.497737, -0.351179, 0.341013, -0.174873, -0.260240, 0.535597, 0.338298, 0.000000, 0.000000], [0.227102, 0.559442, 0.263482, -0.402741, -0.179466, -0.496033, -0.353855, 0.018879, 0.000000, 0.000000], [0.452172, -0.336327, -0.236508, -0.099864, -0.311624, -0.374720, 0.352424, -0.504765, 0.000000, 0.000000]]
fourier: [[19.442780, 19.947212, 22.509394, 25.808452, 181.941775], [31.746091, 33.694195, 33.780703, 34.579411, 150.741241], [20.758185, 23.608393, 24.220381, 24.965450, 95.307254], [32.793035, 32.974817, 35.018346, 37.181051, 102.785713], [25.655592, 26.199651, 31.553928, 33.967991, 100.731604], [24.306618, 25.628002, 29.807172, 30.142874, 235.612087], [31.061904, 34.040011, 36.451513, 37.389540, 149.369859], [28.439571, 30.998529, 31.871966, 32.377044, 114.625923]]
### 2
mean: [-1.446432, 0.616550, 0.221872, -2.457122, 2.049582, 2.411618, 2.175854, 1.586532]
std: [0.809939, 0.840926, 1.313830, 1.244015, 2.565268, 2.574064, 2.902711, 1.861488]
pca: [[-0.066375, 0.480268, 0.025446, 0.354464, 0.056654, -0.493227, -0.185110, 0.598244, 0.000000, 0.000000], [0.006778, -0.380425, 0.819339, 0.092021, 0.273372, 0.103139, -0.215009, 0.209399, 0.000000, 0.000000], [0.243522, 0.126675, 0.413885, -0.110173, -0.603086, -0.127103, 0.591286, 0.108278, 0.000000, 0.000000], [-0.110089, 0.701074, 0.384285, -0.200036, 0.132608, 0.036800, -0.174718, -0.509137, 0.000000, 0.000000], [0.492558, 0.168302, -0.036823, 0.260161, -0.393424, 0.525373, -0.469853, 0.091979, 0.000000, 0.000000], [0.494869, -0.141842, -0.034080, -0.583884, -0.022894, -0.493047, -0.386296, -0.007675, 0.000000, 0.000000], [0.556467, 0.216646, -0.072329, -0.066558, 0.616787, 0.229719, 0.406828, 0.187195, 0.000000, 0.000000], [0.356316, -0.147266, 0.036209, 0.633009, 0.070903, -0.395849, 0.062175, -0.532682, 0.000000, 0.000000]]
fourier: [[13.367139, 13.902505, 13.999023, 16.835479, 130.178885], [13.142870, 14.422282, 14.943104, 15.911072, 55.489469], [19.909737, 19.949772, 19.955001, 19.968497, 25.638068], [20.840884, 21.125284, 22.870105, 24.717384, 221.140983], [37.719156, 38.841655, 39.034783, 51.205080, 184.462372], [38.383325, 40.816277, 41.205116, 48.009882, 217.045595], [43.089901, 44.580067, 44.912095, 57.927039, 195.826907], [28.998064, 29.609677, 29.617297, 33.991879, 142.787839]]
### 4
mean: [6.181356, 6.785661, -1.722989, 4.871498, -2.710276, -1.121170, -0.516215, -1.402471]
std: [5.977047, 6.235813, 1.914263, 4.564242, 1.860146, 1.126886, 0.156779, 1.028444]
pca: [[0.583854, -0.202594, 0.368844, -0.184934, -0.018594, -0.317106, 0.028364, -0.588318, 0.000000, 0.000000], [0.609156, 0.206225, 0.144218, -0.167615, -0.319091, 0.096399, 0.125558, 0.640804, 0.000000, 0.000000], [-0.186829, -0.194335, 0.139885, 0.445311, -0.569985, -0.118850, 0.605732, -0.059492, 0.000000, 0.000000], [0.445797, -0.122815, -0.193798, 0.773622, 0.352963, 0.144346, -0.062677, 0.028042, 0.000000, 0.000000], [-0.180523, -0.599691, 0.564805, 0.088327, 0.079521, -0.087637, -0.348330, 0.381624, 0.000000, 0.000000], [-0.107801, 0.656966, 0.473156, 0.353450, -0.186828, -0.054603, -0.390990, -0.131193, 0.000000, 0.000000], [-0.014148, -0.028563, 0.371138, -0.089689, 0.108777, 0.867107, 0.219197, -0.203572, 0.000000, 0.000000], [-0.099966, 0.267447, 0.324661, -0.011762, 0.628736, -0.304390, 0.538829, 0.186110, 0.000000, 0.000000]]
fourier: [[90.663232, 92.777626, 96.173142, 113.075260, 556.322097], [94.500865, 98.027941, 99.981189, 117.063753, 610.709487], [29.163306, 30.564558, 30.731827, 35.708591, 155.069042], [68.236594, 70.388013, 72.493396, 87.356575, 438.434842], [27.892818, 28.890651, 30.741508, 33.881713, 243.924895], [16.578227, 16.612945, 17.223232, 22.820435, 100.905277], [2.219488, 2.439932, 2.646682, 3.058511, 46.459332], [15.073601, 15.280577, 15.826368, 20.146927, 126.222429]]
### 6
mean: [5.805642, -2.183590, -1.223589, -2.125370, -6.373301, -2.331736, 7.683883, -6.408481]
std: [5.696019, 1.787395, 1.063885, 1.622092, 5.945364, 1.992884, 7.528506, 5.878805]
pca: [[0.436924, -0.034147, 0.382358, 0.391345, -0.017240, 0.700015, -0.128319, -0.042428, 0.000000, 0.000000], [-0.137058, 0.647331, -0.211910, 0.079493, -0.064974, 0.282048, 0.602891, -0.252394, 0.000000, 0.000000], [-0.081553, 0.338831, -0.459058, 0.529893, -0.220079, -0.050196, -0.474199, 0.333472, 0.000000, 0.000000], [-0.124408, 0.260203, 0.350664, -0.264511, 0.004401, 0.122925, 0.140903, 0.830001, 0.000000, 0.000000], [-0.456047, -0.210775, 0.361517, 0.666716, 0.153350, -0.233866, 0.304319, 0.039620, 0.000000, 0.000000], [-0.152864, 0.112613, -0.172278, -0.027290, 0.924140, 0.196324, -0.202261, 0.006232, 0.000000, 0.000000], [0.577487, 0.442988, 0.287345, 0.130344, 0.220753, -0.565126, 0.006386, -0.050734, 0.000000, 0.000000], [-0.450940, 0.379393, 0.481930, -0.165931, -0.144027, 0.013942, -0.491709, -0.360845, 0.000000, 0.000000]]
fourier: [[86.204882, 88.830575, 91.400548, 107.524347, 522.507775], [27.278334, 28.342619, 28.729241, 33.339393, 196.523088], [16.304748, 16.804845, 17.111193, 19.931725, 110.123008], [24.497070, 25.470308, 25.951982, 30.657186, 191.283252], [89.686357, 92.340740, 95.107391, 113.576056, 573.597050], [30.245286, 31.118038, 32.058816, 37.635458, 209.856216], [113.709511, 116.977797, 120.661289, 142.827135, 691.549501], [88.830299, 91.854726, 94.123610, 111.461232, 576.763350]]
### 8
mean: [-4.735796]
std: [4.836879]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.133718, 75.207973, 77.758932, 92.034790, 426.221659]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-2.021575, 1.674903, 1.058969, 1.142064, -1.119240, -2.617912, -1.659665, 1.273621]
std: [1.246689, 2.255405, 1.464877, 1.895494, 1.710696, 1.581443, 1.817697, 1.862671]
pca: [[0.046181, 0.315451, -0.184851, 0.617709, -0.019752, 0.069089, -0.428093, -0.542399, 0.000000, 0.000000], [0.600065, -0.271400, -0.044013, 0.369083, -0.086465, -0.081663, -0.308353, 0.564694, 0.000000, 0.000000], [0.242271, 0.068133, 0.562128, 0.288577, 0.599911, -0.213671, 0.342094, -0.121741, 0.000000, 0.000000], [-0.384746, -0.240361, 0.556972, 0.329486, -0.574454, -0.213058, 0.003022, 0.004263, 0.000000, 0.000000], [0.402498, 0.300971, 0.298330, -0.043742, -0.377286, 0.665823, 0.261413, -0.049951, 0.000000, 0.000000], [-0.114132, 0.497737, -0.351179, 0.341013, -0.174873, -0.260240, 0.535597, 0.338298, 0.000000, 0.000000], [0.227102, 0.559442, 0.263482, -0.402741, -0.179466, -0.496033, -0.353855, 0.018879, 0.000000, 0.000000], [0.452172, -0.336327, -0.236508, -0.099864, -0.311624, -0.374720, 0.352424, -0.504765, 0.000000, 0.000000]]
fourier: [[19.442780, 19.947212, 22.509394, 25.808452, 181.941775], [31.746091, 33.694195, 33.780703, 34.579411, 150.741241], [20.758185, 23.608393, 24.220381, 24.965450, 95.307254], [32.793035, 32.974817, 35.018346, 37.181051, 102.785713], [25.655592, 26.199651, 31.553928, 33.967991, 100.731604], [24.306618, 25.628002, 29.807172, 30.142874, 235.612087], [31.061904, 34.040011, 36.451513, 37.389540, 149.369859], [28.439571, 30.998529, 31.871966, 32.377044, 114.625923]]
### 2
mean: [-1.446432, 0.616550, 0.221872, -2.457122, 2.049582, 2.411618, 2.175854, 1.586532]
std: [0.809939, 0.840926, 1.313830, 1.244015, 2.565268, 2.574064, 2.902711, 1.861488]
pca: [[-0.066375, 0.480268, 0.025446, 0.354464, 0.056654, -0.493227, -0.185110, 0.598244, 0.000000, 0.000000], [0.006778, -0.380425, 0.819339, 0.092021, 0.273372, 0.103139, -0.215009, 0.209399, 0.000000, 0.000000], [0.243522, 0.126675, 0.413885, -0.110173, -0.603086, -0.127103, 0.591286, 0.108278, 0.000000, 0.000000], [-0.110089, 0.701074, 0.384285, -0.200036, 0.132608, 0.036800, -0.174718, -0.509137, 0.000000, 0.000000], [0.492558, 0.168302, -0.036823, 0.260161, -0.393424, 0.525373, -0.469853, 0.091979, 0.000000, 0.000000], [0.494869, -0.141842, -0.034080, -0.583884, -0.022894, -0.493047, -0.386296, -0.007675, 0.000000, 0.000000], [0.556467, 0.216646, -0.072329, -0.066558, 0.616787, 0.229719, 0.406828, 0.187195, 0.000000, 0.000000], [0.356316, -0.147266, 0.036209, 0.633009, 0.070903, -0.395849, 0.062175, -0.532682, 0.000000, 0.000000]]
fourier: [[13.367139, 13.902505, 13.999023, 16.835479, 130.178885], [13.142870, 14.422282, 14.943104, 15.911072, 55.489469], [19.909737, 19.949772, 19.955001, 19.968497, 25.638068], [20.840884, 21.125284, 22.870105, 24.717384, 221.140983], [37.719156, 38.841655, 39.034783, 51.205080, 184.462372], [38.383325, 40.816277, 41.205116, 48.009882, 217.045595], [43.089901, 44.580067, 44.912095, 57.927039, 195.826907], [28.998064, 29.609677, 29.617297, 33.991879, 142.787839]]
### 4
mean: [6.181356, 6.785661, -1.722989, 4.871498, -2.710276, -1.121170, -0.516215, -1.402471]
std: [5.977047, 6.235813, 1.914263, 4.564242, 1.860146, 1.126886, 0.156779, 1.028444]
pca: [[0.583854, -0.202594, 0.368844, -0.184934, -0.018594, -0.317106, 0.028364, -0.588318, 0.000000, 0.000000], [0.609156, 0.206225, 0.144218, -0.167615, -0.319091, 0.096399, 0.125558, 0.640804, 0.000000, 0.000000], [-0.186829, -0.194335, 0.139885, 0.445311, -0.569985, -0.118850, 0.605732, -0.059492, 0.000000, 0.000000], [0.445797, -0.122815, -0.193798, 0.773622, 0.352963, 0.144346, -0.062677, 0.028042, 0.000000, 0.000000], [-0.180523, -0.599691, 0.564805, 0.088327, 0.079521, -0.087637, -0.348330, 0.381624, 0.000000, 0.000000], [-0.107801, 0.656966, 0.473156, 0.353450, -0.186828, -0.054603, -0.390990, -0.131193, 0.000000, 0.000000], [-0.014148, -0.028563, 0.371138, -0.089689, 0.108777, 0.867107, 0.219197, -0.203572, 0.000000, 0.000000], [-0.099966, 0.267447, 0.324661, -0.011762, 0.628736, -0.304390, 0.538829, 0.186110, 0.000000, 0.000000]]
fourier: [[90.663232, 92.777626, 96.173142, 113.075260, 556.322097], [94.500865, 98.027941, 99.981189, 117.063753, 610.709487], [29.163306, 30.564558, 30.731827, 35.708591, 155.069042], [68.236594, 70.388013, 72.493396, 87.356575, 438.434842], [27.892818, 28.890651, 30.741508, 33.881713, 243.924895], [16.578227, 16.612945, 17.223232, 22.820435, 100.905277], [2.219488, 2.439932, 2.646682, 3.058511, 46.459332], [15.073601, 15.280577, 15.826368, 20.146927, 126.222429]]
### 6
mean: [5.805642, -2.183590, -1.223589, -2.125370, -6.373301, -2.331736, 7.683883, -6.408481]
std: [5.696019, 1.787395, 1.063885, 1.622092, 5.945364, 1.992884, 7.528506, 5.878805]
pca: [[0.436924, -0.034147, 0.382358, 0.391345, -0.017240, 0.700015, -0.128319, -0.042428, 0.000000, 0.000000], [-0.137058, 0.647331, -0.211910, 0.079493, -0.064974, 0.282048, 0.602891, -0.252394, 0.000000, 0.000000], [-0.081553, 0.338831, -0.459058, 0.529893, -0.220079, -0.050196, -0.474199, 0.333472, 0.000000, 0.000000], [-0.124408, 0.260203, 0.350664, -0.264511, 0.004401, 0.122925, 0.140903, 0.830001, 0.000000, 0.000000], [-0.456047, -0.210775, 0.361517, 0.666716, 0.153350, -0.233866, 0.304319, 0.039620, 0.000000, 0.000000], [-0.152864, 0.112613, -0.172278, -0.027290, 0.924140, 0.196324, -0.202261, 0.006232, 0.000000, 0.000000], [0.577487, 0.442988, 0.287345, 0.130344, 0.220753, -0.565126, 0.006386, -0.050734, 0.000000, 0.000000], [-0.450940, 0.379393, 0.481930, -0.165931, -0.144027, 0.013942, -0.491709, -0.360845, 0.000000, 0.000000]]
fourier: [[86.204882, 88.830575, 91.400548, 107.524347, 522.507775], [27.278334, 28.342619, 28.729241, 33.339393, 196.523088], [16.304748, 16.804845, 17.111193, 19.931725, 110.123008], [24.497070, 25.470308, 25.951982, 30.657186, 191.283252], [89.686357, 92.340740, 95.107391, 113.576056, 573.597050], [30.245286, 31.118038, 32.058816, 37.635458, 209.856216], [113.709511, 116.977797, 120.661289, 142.827135, 691.549501], [88.830299, 91.854726, 94.123610, 111.461232, 576.763350]]
### 8
mean: [-4.735796]
std: [4.836879]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.133718, 75.207973, 77.758932, 92.034790, 426.221659]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972275674343109, "train_acc": 0.565, "val_loss": 0.6631535291671753, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.640335738658905, "train_acc": 0.565, "val_loss": 0.5430698394775391, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6313904821872711, "train_acc": 0.485, "val_loss": 0.659690797328949, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6620836555957794, "train_acc": 0.53, "val_loss": 0.49950411915779114, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5280782878398895, "train_acc": 0.805, "val_loss": 0.39924508333206177, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.43508824706077576, "train_acc": 0.885, "val_loss": 0.3596416711807251, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.35705091059207916, "train_acc": 0.92, "val_loss": 0.2965129613876343, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.33574075996875763, "train_acc": 0.91, "val_loss": 0.26433756947517395, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3028818219900131, "train_acc": 0.92, "val_loss": 0.24297279119491577, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.27754008769989014, "train_acc": 0.92, "val_loss": 0.281732976436615, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.26167942583560944, "train_acc": 0.92, "val_loss": 0.2112947404384613, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.23347821831703186, "train_acc": 0.93, "val_loss": 0.20239859819412231, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6631535291671753, "final_val_loss": 0.5430698394775391, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.659690797328949, "final_val_loss": 0.20239859819412231, "initial_val_acc": 0.56, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.3799999999999999, "first_improvement_epoch": 1}}
|
8
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.38, "improved_accuracy": 0.72, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.09363094593146719, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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"network.4.weight": [
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[
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[
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[
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[
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],
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[
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[
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],
"network.8.bias": [
0.0617
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}
## Activation Signature
### 0
mean: [-0.414001, 1.581684, -1.365021, -0.754526, 1.928714]
std: [2.258681, 1.419268, 1.688719, 1.617420, 1.739599]
pca: [[0.114343, 0.949103, -0.059898, 0.093131, -0.271786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502218, 0.164155, 0.088704, 0.176958, 0.825620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.559675, 0.042701, -0.435641, 0.662659, 0.236731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248252, 0.038458, 0.887913, 0.383831, -0.034302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599865, -0.262591, -0.101842, 0.611203, -0.432743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.944221, 37.260063, 41.825481, 42.337122, 48.776161], [20.276068, 22.786907, 23.847282, 24.341869, 142.351542], [26.007887, 26.145568, 27.924704, 36.281433, 122.851863], [24.572390, 25.284814, 26.699396, 31.502207, 67.907339], [28.239931, 32.384928, 32.400850, 35.833792, 173.584289]]
### 2
mean: [-1.034715, -0.118489, 0.126776, 1.367715, -1.692902]
std: [0.754433, 0.935841, 0.784049, 1.233502, 0.800442]
pca: [[-0.393420, 0.298162, -0.259879, 0.818021, 0.140087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.223237, 0.735751, -0.412222, -0.216746, -0.438098, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178621, 0.602134, 0.663149, -0.158895, 0.374852, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737907, 0.084773, -0.192330, 0.156373, 0.621983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467947, 0.004156, -0.534582, -0.483903, 0.510949, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.931930, 12.245286, 13.186803, 14.639478, 93.124391], [13.439022, 14.200601, 14.980072, 18.130028, 20.318751], [11.409817, 12.284416, 12.903762, 14.411338, 15.262448], [20.431512, 21.437425, 24.166137, 26.286738, 123.094344], [13.344904, 13.401001, 15.650026, 16.532627, 152.361203]]
### 4
mean: [-0.490883, -1.612099, -1.923687, 0.200484, -0.795545]
std: [0.928288, 0.667655, 1.085042, 0.742672, 0.585397]
pca: [[0.525109, -0.349289, 0.626048, 0.260823, -0.377217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363697, 0.360895, 0.335771, 0.082083, 0.786129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.622406, 0.340097, -0.248465, -0.599487, -0.275364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310903, 0.759943, 0.400222, 0.120960, -0.388609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.328535, 0.233608, -0.522886, 0.742440, -0.113426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.208228, 16.636169, 17.088938, 19.059696, 44.179449], [10.658474, 11.337917, 13.428488, 13.609141, 145.088926], [18.465653, 19.988613, 21.330612, 23.175394, 173.131836], [11.360513, 11.490266, 11.800414, 13.072388, 18.043574], [9.931249, 10.559807, 11.983617, 12.327177, 71.599040]]
### 6
mean: [0.114087, -0.515002, 0.396935, -0.001928, -0.232261]
std: [0.436857, 0.261078, 0.441700, 0.621178, 0.251373]
pca: [[-0.468126, -0.070373, -0.142996, 0.230617, 0.838018, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.218378, 0.931140, -0.241655, -0.015616, 0.163243, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.473208, -0.094996, 0.017463, 0.875446, 0.018426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.665002, -0.171110, 0.318632, -0.395330, 0.520271, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258873, 0.299538, 0.905165, 0.154535, -0.007529, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.848053, 7.001198, 8.296041, 8.363274, 10.267830], [3.520749, 3.743951, 4.587521, 5.239839, 46.350195], [7.010629, 7.093017, 8.192012, 8.654337, 35.724183], [9.746977, 9.974038, 10.121212, 11.493682, 12.352612], [4.074447, 4.083363, 4.202074, 4.524407, 20.903535]]
### 8
mean: [0.319516]
std: [0.429031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.770811, 6.993749, 7.297645, 9.046288, 28.756422]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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0.316424,
0.02675
],
[
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0.092806
],
[
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],
[
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]
],
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],
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[
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[
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[
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[
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[
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-0.414001, 1.581684, -1.365021, -0.754526, 1.928714]
std: [2.258681, 1.419268, 1.688719, 1.617420, 1.739599]
pca: [[0.114343, 0.949103, -0.059898, 0.093131, -0.271786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502218, 0.164155, 0.088704, 0.176958, 0.825620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.559675, 0.042701, -0.435641, 0.662659, 0.236731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248252, 0.038458, 0.887913, 0.383831, -0.034302, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599865, -0.262591, -0.101842, 0.611203, -0.432743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.944221, 37.260063, 41.825481, 42.337122, 48.776161], [20.276068, 22.786907, 23.847282, 24.341869, 142.351542], [26.007887, 26.145568, 27.924704, 36.281433, 122.851863], [24.572390, 25.284814, 26.699396, 31.502207, 67.907339], [28.239931, 32.384928, 32.400850, 35.833792, 173.584289]]
### 2
mean: [-1.034715, -0.118489, 0.126776, 1.367715, -1.692902]
std: [0.754433, 0.935841, 0.784049, 1.233502, 0.800442]
pca: [[-0.393420, 0.298162, -0.259879, 0.818021, 0.140087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.223237, 0.735751, -0.412222, -0.216746, -0.438098, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178621, 0.602134, 0.663149, -0.158895, 0.374852, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737907, 0.084773, -0.192330, 0.156373, 0.621983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467947, 0.004156, -0.534582, -0.483903, 0.510949, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.931930, 12.245286, 13.186803, 14.639478, 93.124391], [13.439022, 14.200601, 14.980072, 18.130028, 20.318751], [11.409817, 12.284416, 12.903762, 14.411338, 15.262448], [20.431512, 21.437425, 24.166137, 26.286738, 123.094344], [13.344904, 13.401001, 15.650026, 16.532627, 152.361203]]
### 4
mean: [-0.490883, -1.612099, -1.923687, 0.200484, -0.795545]
std: [0.928288, 0.667655, 1.085042, 0.742672, 0.585397]
pca: [[0.525109, -0.349289, 0.626048, 0.260823, -0.377217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363697, 0.360895, 0.335771, 0.082083, 0.786129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.622406, 0.340097, -0.248465, -0.599487, -0.275364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310903, 0.759943, 0.400222, 0.120960, -0.388609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.328535, 0.233608, -0.522886, 0.742440, -0.113426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.208228, 16.636169, 17.088938, 19.059696, 44.179449], [10.658474, 11.337917, 13.428488, 13.609141, 145.088926], [18.465653, 19.988613, 21.330612, 23.175394, 173.131836], [11.360513, 11.490266, 11.800414, 13.072388, 18.043574], [9.931249, 10.559807, 11.983617, 12.327177, 71.599040]]
### 6
mean: [0.114087, -0.515002, 0.396935, -0.001928, -0.232261]
std: [0.436857, 0.261078, 0.441700, 0.621178, 0.251373]
pca: [[-0.468126, -0.070373, -0.142996, 0.230617, 0.838018, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.218378, 0.931140, -0.241655, -0.015616, 0.163243, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.473208, -0.094996, 0.017463, 0.875446, 0.018426, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.665002, -0.171110, 0.318632, -0.395330, 0.520271, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258873, 0.299538, 0.905165, 0.154535, -0.007529, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.848053, 7.001198, 8.296041, 8.363274, 10.267830], [3.520749, 3.743951, 4.587521, 5.239839, 46.350195], [7.010629, 7.093017, 8.192012, 8.654337, 35.724183], [9.746977, 9.974038, 10.121212, 11.493682, 12.352612], [4.074447, 4.083363, 4.202074, 4.524407, 20.903535]]
### 8
mean: [0.319516]
std: [0.429031]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.770811, 6.993749, 7.297645, 9.046288, 28.756422]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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[6.77081078772617, 6.993749057113843, 7.297645290517217, 9.046288315078579, 28.756421640515327]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.118466, 0.047511, 0.178778, 0.273657, 0.073636], [-0.26888, 0.236607, 0.550824, 0.316424, 0.02675], [0.300774, -0.526303, -0.721316, 0.272428, 0.092806], [0.134338, -0.668651, 0.352632, 0.04919, -0.695795], [0.120357, 0.723274, 0.204002, 0.19134, -0.213389]], "network.0.bias": [-0.159815, -0.377014, 0.027805, 0.312783, -0.112303], "network.2.weight": [[-0.009897, -0.546056, 0.250979, 0.302171, -0.01212], [-0.10592, -0.564674, -0.569456, -0.398504, 0.545905], [-0.532866, -0.506333, 0.450231, 0.345383, 0.305847], [0.335662, 0.210326, -0.482148, -0.849033, 0.452865], [-0.218526, -0.128953, -0.090746, 0.166495, -0.349012]], "network.2.bias": [-0.210994, -0.091906, 0.541776, 0.189654, -0.742942], "network.4.weight": [[0.102686, -0.536538, 0.727974, -0.575238, -0.553967], [0.727741, -0.600845, -0.248549, -0.391689, 0.862721], [1.017703, -0.511729, -0.485366, -0.754247, 0.269128], [0.779892, -0.224907, -0.786899, 0.490977, 0.21467], [-0.258869, -0.238531, -0.374814, -0.39361, 0.028509]], "network.4.bias": [0.144276, -0.764274, -0.580435, -0.102749, -0.158591], "network.6.weight": [[-0.241823, 0.695914, 0.129703, 0.678442, -0.185734], [-0.484245, 0.532345, -0.163821, -0.520848, -0.341223], [0.36082, -0.008599, -0.709849, -0.647868, 0.093061], [0.514355, -0.893215, -0.517511, -0.894563, 0.208439], [-0.495518, -0.272973, -0.25017, 0.347754, 0.167693]], "network.6.bias": [-0.007157, -0.345935, 0.511267, 0.116689, -0.335366], "network.8.weight": [[-0.466574, -0.430239, 0.545188, 0.493281, -0.226757]], "network.8.bias": [0.0617]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6722663342952728, "train_acc": 0.6, "val_loss": 0.7984893918037415, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6570966839790344, "train_acc": 0.6, "val_loss": 0.8252170085906982, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6632483601570129, "train_acc": 0.6, "val_loss": 0.7811472415924072, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6376964449882507, "train_acc": 0.6, "val_loss": 0.6819770336151123, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.7213469445705414, "train_acc": 0.535, "val_loss": 0.6547825336456299, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.601013571023941, "train_acc": 0.69, "val_loss": 0.5960362553596497, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6852565705776215, "train_acc": 0.55, "val_loss": 0.561551034450531, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5768475234508514, "train_acc": 0.7, "val_loss": 0.6489304900169373, "val_acc": 0.54}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5310297608375549, "train_acc": 0.68, "val_loss": 0.739363431930542, "val_acc": 0.5}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5633988678455353, "train_acc": 0.68, "val_loss": 0.6710175275802612, "val_acc": 0.48}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7984893918037415, "final_val_loss": 0.6819770336151123, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6547825336456299, "final_val_loss": 0.6710175275802612, "initial_val_acc": 0.6, "final_val_acc": 0.48, "best_val_acc": 0.72, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
9
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9319, "learning_rate": 0.04720846293947128, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.590725,
0.461835,
0.198421,
-0.092491,
0.117763
],
[
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0.609304,
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## Activation Signature
### 0
mean: [0.570946, 2.105148, -1.600260, 0.505644, 3.218154, 1.422813, 1.099030, 0.064195]
std: [1.170376, 2.501462, 1.368059, 1.597618, 2.410027, 1.655277, 1.595055, 1.215471]
pca: [[-0.085503, 0.306134, -0.339630, 0.628705, -0.034937, 0.077910, 0.526166, -0.322818, 0.000000, 0.000000], [0.643371, 0.126427, 0.049009, -0.017691, 0.389332, -0.526029, -0.039988, -0.370796, 0.000000, 0.000000], [-0.013924, 0.069461, 0.737674, 0.124218, 0.294339, 0.499498, 0.038817, -0.312647, 0.000000, 0.000000], [0.269051, 0.472810, 0.324943, -0.076476, -0.143134, -0.090664, 0.444857, 0.604996, 0.000000, 0.000000], [0.609744, 0.005286, -0.242175, -0.233327, -0.410764, 0.558801, -0.004802, -0.184625, 0.000000, 0.000000], [-0.135866, 0.598642, -0.363948, -0.263262, 0.521269, 0.288156, -0.239183, 0.097157, 0.000000, 0.000000], [0.340058, -0.279839, -0.107479, 0.587373, 0.301690, 0.213262, -0.261122, 0.494783, 0.000000, 0.000000], [0.017139, -0.474567, -0.172743, -0.338206, 0.456740, 0.136867, 0.629864, 0.078712, 0.000000, 0.000000]]
fourier: [[19.762137, 20.008545, 20.123921, 25.327631, 51.385121], [39.763016, 41.534577, 43.403461, 46.816377, 189.463315], [21.597630, 23.180978, 23.662315, 24.664429, 144.023358], [26.831375, 27.752737, 28.190410, 40.004011, 45.507949], [35.434006, 39.375553, 44.480277, 45.480579, 289.633871], [25.339223, 26.912628, 27.406939, 32.339477, 128.053137], [24.406028, 25.106375, 28.394006, 30.691233, 98.912725], [19.244667, 21.310868, 22.672259, 23.719408, 25.860286]]
### 2
mean: [0.353421, 1.019688, 0.605801, 0.600849, -1.486007, 2.465476, 1.818168, -0.112244]
std: [1.185783, 1.320528, 0.858678, 1.795557, 1.217089, 3.810274, 0.897947, 0.743936]
pca: [[-0.117189, 0.589588, -0.140990, -0.383610, 0.437378, -0.026964, 0.343793, -0.401744, 0.000000, 0.000000], [-0.199281, 0.552174, 0.121226, -0.148541, -0.168266, -0.424631, -0.273686, 0.578880, 0.000000, 0.000000], [0.052298, -0.280219, 0.705974, -0.322356, -0.008515, -0.488883, 0.095452, -0.261224, 0.000000, 0.000000], [0.391449, -0.094024, -0.188330, -0.434357, -0.344854, 0.038710, 0.600447, 0.364464, 0.000000, 0.000000], [-0.237158, -0.305207, -0.038145, 0.208560, 0.646532, -0.229764, 0.354009, 0.457750, 0.000000, 0.000000], [0.842177, 0.217909, 0.157351, 0.183832, 0.376708, -0.025245, -0.177369, 0.103409, 0.000000, 0.000000], [-0.089709, 0.343121, 0.488206, 0.533348, -0.217975, 0.236389, 0.497545, 0.021718, 0.000000, 0.000000], [-0.130506, -0.041933, 0.408655, -0.420058, 0.232304, 0.684944, -0.181442, 0.285880, 0.000000, 0.000000]]
fourier: [[17.242062, 18.008679, 18.656465, 26.329214, 31.807860], [20.542614, 21.929741, 24.951069, 26.730119, 91.771922], [13.657643, 13.876643, 16.839082, 17.103433, 54.522052], [29.507062, 31.384838, 31.529031, 32.431247, 54.076379], [18.701604, 21.520070, 21.969417, 23.733676, 133.740643], [61.165875, 61.405360, 61.616663, 62.159893, 221.892818], [12.689853, 14.638950, 15.519449, 20.007433, 163.635139], [10.232260, 10.683016, 11.200135, 12.205602, 12.594137]]
### 4
mean: [1.333317, 2.265239, -0.896481, 1.840129, -1.417938, 0.924591, 0.299086, 0.157375]
std: [2.124578, 1.309699, 0.860593, 1.572821, 1.437562, 3.127274, 0.555225, 1.121676]
pca: [[0.455727, 0.312092, -0.034807, 0.243615, 0.278304, 0.420662, 0.616377, -0.004713, 0.000000, 0.000000], [-0.228829, 0.547506, 0.746813, -0.062502, -0.124124, -0.209072, 0.157199, -0.049077, 0.000000, 0.000000], [-0.180449, -0.161534, 0.201475, -0.575275, -0.126206, 0.710275, 0.027880, 0.220489, 0.000000, 0.000000], [-0.289599, 0.606038, -0.604579, -0.304644, -0.071385, -0.106213, 0.100182, 0.253208, 0.000000, 0.000000], [-0.294467, -0.373199, 0.092594, 0.040641, 0.303497, -0.303391, 0.470448, 0.598589, 0.000000, 0.000000], [0.683787, 0.103059, 0.136747, -0.405335, 0.148724, -0.261621, -0.275250, 0.415320, 0.000000, 0.000000], [-0.102023, 0.212018, 0.076358, 0.575540, -0.020058, 0.309092, -0.452739, 0.553761, 0.000000, 0.000000], [-0.242563, 0.120873, 0.042974, -0.125708, 0.878342, 0.086782, -0.287225, -0.217692, 0.000000, 0.000000]]
fourier: [[33.689711, 35.743686, 36.124812, 36.733462, 119.998502], [18.137020, 18.486761, 26.614615, 30.172886, 203.871481], [13.789844, 14.402294, 14.767130, 15.131884, 80.683281], [23.329419, 28.513753, 31.834698, 32.022302, 165.611646], [24.289965, 24.355690, 24.610514, 25.068129, 127.614380], [50.729285, 51.644130, 54.926257, 58.490006, 83.213151], [8.245634, 9.275401, 11.287191, 11.665977, 26.917772], [17.874374, 18.343444, 18.605995, 19.296762, 22.728575]]
### 6
mean: [-0.787351, 1.750232, 3.631373, 1.102251, 2.505392, 1.369757, 1.232784, -0.087227]
std: [0.655849, 1.141151, 1.725466, 4.026433, 2.389718, 1.672721, 1.624234, 0.170982]
pca: [[-0.113635, -0.134353, -0.199544, 0.729900, -0.331245, 0.427539, 0.193322, 0.258029, 0.000000, 0.000000], [-0.177514, 0.386137, 0.044639, 0.275520, 0.822181, 0.165799, -0.042150, 0.190358, 0.000000, 0.000000], [-0.259104, 0.632775, -0.070699, -0.091921, -0.214201, 0.009493, 0.606479, -0.324383, 0.000000, 0.000000], [0.722229, 0.562148, -0.056554, 0.026735, -0.199462, 0.137015, -0.248903, 0.194810, 0.000000, 0.000000], [-0.432807, 0.256325, -0.430794, -0.013489, -0.206238, -0.471216, -0.344404, 0.421921, 0.000000, 0.000000], [-0.300951, 0.212344, 0.431167, 0.263049, -0.222033, 0.105994, -0.583882, -0.455836, 0.000000, 0.000000], [-0.298215, 0.046514, 0.161828, -0.543794, -0.136355, 0.639952, -0.089981, 0.388299, 0.000000, 0.000000], [-0.000882, 0.058966, 0.743179, 0.130700, -0.134920, -0.357826, 0.251896, 0.466293, 0.000000, 0.000000]]
fourier: [[10.484615, 11.385577, 11.921718, 12.203652, 70.861572], [16.123936, 18.633485, 22.434804, 25.394902, 157.520888], [24.038534, 27.713032, 32.772867, 38.818499, 326.823608], [64.984351, 65.194525, 71.486890, 76.178134, 99.202574], [37.042221, 40.540448, 47.666271, 49.643589, 225.485283], [25.241585, 29.517988, 33.331173, 34.395516, 123.278107], [26.273798, 27.595049, 29.995141, 32.980005, 110.950556], [2.286445, 2.360690, 2.494132, 3.772441, 7.850408]]
### 8
mean: [-1.244057, 5.762268, 4.016898, -0.000111, -1.668437, 3.673075, 4.651351, -1.491472]
std: [4.126098, 4.213248, 3.745610, 0.615524, 0.760961, 3.246105, 4.258558, 0.455104]
pca: [[-0.460865, 0.702562, -0.050274, 0.092618, 0.082223, 0.447325, 0.001143, 0.275757, 0.000000, 0.000000], [0.474565, 0.512623, -0.132179, -0.239890, 0.477964, -0.110772, -0.144872, -0.418663, 0.000000, 0.000000], [0.425472, -0.031381, 0.539605, 0.140123, -0.198894, 0.645579, -0.172805, -0.144872, 0.000000, 0.000000], [-0.067246, 0.139447, 0.648752, -0.011316, 0.172471, -0.466777, -0.420013, 0.361921, 0.000000, 0.000000], [-0.083839, -0.168314, 0.041527, 0.781281, 0.566640, 0.008922, 0.094189, -0.149951, 0.000000, 0.000000], [0.368601, 0.097382, 0.200181, -0.072259, 0.157393, -0.037149, 0.768521, 0.438839, 0.000000, 0.000000], [0.483572, 0.118861, -0.444562, 0.397311, -0.225039, -0.076124, -0.327119, 0.482799, 0.000000, 0.000000], [0.010250, -0.413827, -0.168869, -0.375013, 0.546799, 0.381736, -0.257362, 0.385414, 0.000000, 0.000000]]
fourier: [[70.477982, 71.795049, 73.926869, 83.735861, 111.965158], [59.497539, 73.768102, 86.549040, 89.152366, 518.604113], [58.297838, 65.865497, 75.111076, 77.270413, 361.520873], [10.038044, 10.186462, 10.681681, 10.700484, 12.248834], [10.437998, 12.999922, 15.039413, 16.459719, 150.159360], [49.179101, 57.196887, 66.204786, 67.037410, 330.576737], [64.564856, 75.202875, 86.570687, 87.968176, 418.621629], [7.734371, 7.973091, 8.746542, 10.423578, 134.232484]]
### 10
mean: [-9.148736]
std: [7.571502]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.564678, 135.344607, 153.851811, 157.370271, 823.386253]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.570946, 2.105148, -1.600260, 0.505644, 3.218154, 1.422813, 1.099030, 0.064195]
std: [1.170376, 2.501462, 1.368059, 1.597618, 2.410027, 1.655277, 1.595055, 1.215471]
pca: [[-0.085503, 0.306134, -0.339630, 0.628705, -0.034937, 0.077910, 0.526166, -0.322818, 0.000000, 0.000000], [0.643371, 0.126427, 0.049009, -0.017691, 0.389332, -0.526029, -0.039988, -0.370796, 0.000000, 0.000000], [-0.013924, 0.069461, 0.737674, 0.124218, 0.294339, 0.499498, 0.038817, -0.312647, 0.000000, 0.000000], [0.269051, 0.472810, 0.324943, -0.076476, -0.143134, -0.090664, 0.444857, 0.604996, 0.000000, 0.000000], [0.609744, 0.005286, -0.242175, -0.233327, -0.410764, 0.558801, -0.004802, -0.184625, 0.000000, 0.000000], [-0.135866, 0.598642, -0.363948, -0.263262, 0.521269, 0.288156, -0.239183, 0.097157, 0.000000, 0.000000], [0.340058, -0.279839, -0.107479, 0.587373, 0.301690, 0.213262, -0.261122, 0.494783, 0.000000, 0.000000], [0.017139, -0.474567, -0.172743, -0.338206, 0.456740, 0.136867, 0.629864, 0.078712, 0.000000, 0.000000]]
fourier: [[19.762137, 20.008545, 20.123921, 25.327631, 51.385121], [39.763016, 41.534577, 43.403461, 46.816377, 189.463315], [21.597630, 23.180978, 23.662315, 24.664429, 144.023358], [26.831375, 27.752737, 28.190410, 40.004011, 45.507949], [35.434006, 39.375553, 44.480277, 45.480579, 289.633871], [25.339223, 26.912628, 27.406939, 32.339477, 128.053137], [24.406028, 25.106375, 28.394006, 30.691233, 98.912725], [19.244667, 21.310868, 22.672259, 23.719408, 25.860286]]
### 2
mean: [0.353421, 1.019688, 0.605801, 0.600849, -1.486007, 2.465476, 1.818168, -0.112244]
std: [1.185783, 1.320528, 0.858678, 1.795557, 1.217089, 3.810274, 0.897947, 0.743936]
pca: [[-0.117189, 0.589588, -0.140990, -0.383610, 0.437378, -0.026964, 0.343793, -0.401744, 0.000000, 0.000000], [-0.199281, 0.552174, 0.121226, -0.148541, -0.168266, -0.424631, -0.273686, 0.578880, 0.000000, 0.000000], [0.052298, -0.280219, 0.705974, -0.322356, -0.008515, -0.488883, 0.095452, -0.261224, 0.000000, 0.000000], [0.391449, -0.094024, -0.188330, -0.434357, -0.344854, 0.038710, 0.600447, 0.364464, 0.000000, 0.000000], [-0.237158, -0.305207, -0.038145, 0.208560, 0.646532, -0.229764, 0.354009, 0.457750, 0.000000, 0.000000], [0.842177, 0.217909, 0.157351, 0.183832, 0.376708, -0.025245, -0.177369, 0.103409, 0.000000, 0.000000], [-0.089709, 0.343121, 0.488206, 0.533348, -0.217975, 0.236389, 0.497545, 0.021718, 0.000000, 0.000000], [-0.130506, -0.041933, 0.408655, -0.420058, 0.232304, 0.684944, -0.181442, 0.285880, 0.000000, 0.000000]]
fourier: [[17.242062, 18.008679, 18.656465, 26.329214, 31.807860], [20.542614, 21.929741, 24.951069, 26.730119, 91.771922], [13.657643, 13.876643, 16.839082, 17.103433, 54.522052], [29.507062, 31.384838, 31.529031, 32.431247, 54.076379], [18.701604, 21.520070, 21.969417, 23.733676, 133.740643], [61.165875, 61.405360, 61.616663, 62.159893, 221.892818], [12.689853, 14.638950, 15.519449, 20.007433, 163.635139], [10.232260, 10.683016, 11.200135, 12.205602, 12.594137]]
### 4
mean: [1.333317, 2.265239, -0.896481, 1.840129, -1.417938, 0.924591, 0.299086, 0.157375]
std: [2.124578, 1.309699, 0.860593, 1.572821, 1.437562, 3.127274, 0.555225, 1.121676]
pca: [[0.455727, 0.312092, -0.034807, 0.243615, 0.278304, 0.420662, 0.616377, -0.004713, 0.000000, 0.000000], [-0.228829, 0.547506, 0.746813, -0.062502, -0.124124, -0.209072, 0.157199, -0.049077, 0.000000, 0.000000], [-0.180449, -0.161534, 0.201475, -0.575275, -0.126206, 0.710275, 0.027880, 0.220489, 0.000000, 0.000000], [-0.289599, 0.606038, -0.604579, -0.304644, -0.071385, -0.106213, 0.100182, 0.253208, 0.000000, 0.000000], [-0.294467, -0.373199, 0.092594, 0.040641, 0.303497, -0.303391, 0.470448, 0.598589, 0.000000, 0.000000], [0.683787, 0.103059, 0.136747, -0.405335, 0.148724, -0.261621, -0.275250, 0.415320, 0.000000, 0.000000], [-0.102023, 0.212018, 0.076358, 0.575540, -0.020058, 0.309092, -0.452739, 0.553761, 0.000000, 0.000000], [-0.242563, 0.120873, 0.042974, -0.125708, 0.878342, 0.086782, -0.287225, -0.217692, 0.000000, 0.000000]]
fourier: [[33.689711, 35.743686, 36.124812, 36.733462, 119.998502], [18.137020, 18.486761, 26.614615, 30.172886, 203.871481], [13.789844, 14.402294, 14.767130, 15.131884, 80.683281], [23.329419, 28.513753, 31.834698, 32.022302, 165.611646], [24.289965, 24.355690, 24.610514, 25.068129, 127.614380], [50.729285, 51.644130, 54.926257, 58.490006, 83.213151], [8.245634, 9.275401, 11.287191, 11.665977, 26.917772], [17.874374, 18.343444, 18.605995, 19.296762, 22.728575]]
### 6
mean: [-0.787351, 1.750232, 3.631373, 1.102251, 2.505392, 1.369757, 1.232784, -0.087227]
std: [0.655849, 1.141151, 1.725466, 4.026433, 2.389718, 1.672721, 1.624234, 0.170982]
pca: [[-0.113635, -0.134353, -0.199544, 0.729900, -0.331245, 0.427539, 0.193322, 0.258029, 0.000000, 0.000000], [-0.177514, 0.386137, 0.044639, 0.275520, 0.822181, 0.165799, -0.042150, 0.190358, 0.000000, 0.000000], [-0.259104, 0.632775, -0.070699, -0.091921, -0.214201, 0.009493, 0.606479, -0.324383, 0.000000, 0.000000], [0.722229, 0.562148, -0.056554, 0.026735, -0.199462, 0.137015, -0.248903, 0.194810, 0.000000, 0.000000], [-0.432807, 0.256325, -0.430794, -0.013489, -0.206238, -0.471216, -0.344404, 0.421921, 0.000000, 0.000000], [-0.300951, 0.212344, 0.431167, 0.263049, -0.222033, 0.105994, -0.583882, -0.455836, 0.000000, 0.000000], [-0.298215, 0.046514, 0.161828, -0.543794, -0.136355, 0.639952, -0.089981, 0.388299, 0.000000, 0.000000], [-0.000882, 0.058966, 0.743179, 0.130700, -0.134920, -0.357826, 0.251896, 0.466293, 0.000000, 0.000000]]
fourier: [[10.484615, 11.385577, 11.921718, 12.203652, 70.861572], [16.123936, 18.633485, 22.434804, 25.394902, 157.520888], [24.038534, 27.713032, 32.772867, 38.818499, 326.823608], [64.984351, 65.194525, 71.486890, 76.178134, 99.202574], [37.042221, 40.540448, 47.666271, 49.643589, 225.485283], [25.241585, 29.517988, 33.331173, 34.395516, 123.278107], [26.273798, 27.595049, 29.995141, 32.980005, 110.950556], [2.286445, 2.360690, 2.494132, 3.772441, 7.850408]]
### 8
mean: [-1.244057, 5.762268, 4.016898, -0.000111, -1.668437, 3.673075, 4.651351, -1.491472]
std: [4.126098, 4.213248, 3.745610, 0.615524, 0.760961, 3.246105, 4.258558, 0.455104]
pca: [[-0.460865, 0.702562, -0.050274, 0.092618, 0.082223, 0.447325, 0.001143, 0.275757, 0.000000, 0.000000], [0.474565, 0.512623, -0.132179, -0.239890, 0.477964, -0.110772, -0.144872, -0.418663, 0.000000, 0.000000], [0.425472, -0.031381, 0.539605, 0.140123, -0.198894, 0.645579, -0.172805, -0.144872, 0.000000, 0.000000], [-0.067246, 0.139447, 0.648752, -0.011316, 0.172471, -0.466777, -0.420013, 0.361921, 0.000000, 0.000000], [-0.083839, -0.168314, 0.041527, 0.781281, 0.566640, 0.008922, 0.094189, -0.149951, 0.000000, 0.000000], [0.368601, 0.097382, 0.200181, -0.072259, 0.157393, -0.037149, 0.768521, 0.438839, 0.000000, 0.000000], [0.483572, 0.118861, -0.444562, 0.397311, -0.225039, -0.076124, -0.327119, 0.482799, 0.000000, 0.000000], [0.010250, -0.413827, -0.168869, -0.375013, 0.546799, 0.381736, -0.257362, 0.385414, 0.000000, 0.000000]]
fourier: [[70.477982, 71.795049, 73.926869, 83.735861, 111.965158], [59.497539, 73.768102, 86.549040, 89.152366, 518.604113], [58.297838, 65.865497, 75.111076, 77.270413, 361.520873], [10.038044, 10.186462, 10.681681, 10.700484, 12.248834], [10.437998, 12.999922, 15.039413, 16.459719, 150.159360], [49.179101, 57.196887, 66.204786, 67.037410, 330.576737], [64.564856, 75.202875, 86.570687, 87.968176, 418.621629], [7.734371, 7.973091, 8.746542, 10.423578, 134.232484]]
### 10
mean: [-9.148736]
std: [7.571502]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.564678, 135.344607, 153.851811, 157.370271, 823.386253]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.590725, 0.461835, 0.198421, -0.092491, 0.117763], [0.851126, 0.609304, 0.070699, 0.204259, -0.470573], [0.175956, -0.043167, -0.464898, -0.139023, -0.456301], [0.239958, 0.500954, -0.353304, 0.287035, -0.397141], [0.827805, 0.550948, 0.06942, 0.267202, -0.002546], [-0.607311, 0.104232, 0.305326, 0.483671, -0.220479], [0.446192, 0.382152, 0.234065, -0.332445, -0.048382], [0.327856, -0.496059, 0.330425, -0.056041, 0.076559]], "network.0.bias": [0.103125, -0.069651, 0.091451, -0.09353, 0.469177, 0.585569, 0.131047, -0.10434], "network.2.weight": [[0.519466, 0.232554, 0.008392, 0.230741, -0.189523, 0.348476, -0.274574, -0.332202], [0.64394, 0.021869, -0.129084, 0.31743, -0.083718, 0.387311, -0.459094, 0.172759], [0.202638, -0.093347, 0.1629, -0.227871, -0.066845, -0.004491, 0.558974, 0.458741], [-0.621367, 0.342513, 0.409295, 0.405489, -0.15001, -0.283174, 0.588676, -0.133143], [0.028904, -0.434685, -0.08578, -0.419543, 0.05896, 0.050079, 0.102109, -0.272589], [-0.276196, 0.714217, 0.08198, 0.120824, 0.634715, -0.70543, 0.206731, -0.221665], [0.468779, -0.217116, -0.668829, -0.06851, 0.434667, 0.299098, -0.454258, 0.382415], [0.420865, 0.21302, 0.082574, -0.410225, -0.322427, 0.215608, 0.10121, 0.259065]], "network.2.bias": [-0.25501, 0.304581, 0.180617, 0.224613, -0.435508, -0.071093, 0.516613, -0.096694], "network.4.weight": [[0.011643, -0.175649, -0.268952, 0.23888, -0.080631, 0.477251, 0.051414, 0.192117], [0.353069, 0.305595, 0.713735, -0.098462, -0.149008, -0.117646, 0.461316, 0.335118], [0.078645, -0.176802, 0.146812, -0.065465, 0.055521, -0.221629, 0.133533, -0.149832], [0.296864, 0.594747, 0.270384, -0.414598, 0.177515, -0.013502, 0.379594, 0.090776], [-0.099025, 0.034489, 0.081553, -0.209238, 0.014994, -0.318753, -0.183579, -0.014764], [-0.349437, -0.32339, -0.371915, 0.356865, -0.071328, 0.632303, -0.028575, -0.255373], [0.229484, 0.129691, 0.140713, 0.075808, -0.345037, -0.096049, 0.105977, 0.333527], [-0.01041, 0.255855, 0.180895, -0.233186, 0.22187, -0.138457, 0.181747, 0.194452]], "network.4.bias": [0.140644, 0.652629, -0.412257, 0.437676, -0.102691, -0.050326, -0.188089, -0.076864], "network.6.weight": [[0.052238, 0.011456, -0.313207, -0.048669, -0.046864, -0.282115, 0.13754, -0.059416], [0.228545, 0.342965, -0.275114, 0.296151, -0.251295, -0.153406, 0.407075, 0.411154], [0.15271, 0.642784, -0.130608, 0.625332, 0.216293, -0.017799, 0.350674, 0.299425], [0.643323, -0.437412, -0.048387, -0.09842, 0.362754, 0.75888, 0.042173, -0.282504], [0.029662, 0.708126, 0.390871, 0.387442, -0.355208, -0.390798, 0.325792, 0.129548], [-0.224821, 0.271533, -0.195054, 0.482733, 0.019185, -0.056167, 0.243669, 0.325666], [-0.267058, 0.371038, -0.003731, 0.311868, 0.031104, -0.109653, -0.202127, 0.289104], [-0.309212, -0.200795, 0.076136, 0.243911, -0.319437, 0.27949, 0.096263, 0.151173]], "network.6.bias": [-0.394523, -0.087701, 0.441436, 0.429898, 0.456908, -0.087942, 0.221609, -0.221788], "network.8.weight": [[-0.186953, -0.528791, 0.128429, 0.684029, -0.583125, -0.305084, -0.195026, 0.050885], [0.173394, 0.291669, 0.556836, -0.257445, 0.590133, 0.633969, 0.432998, -0.449155], [-0.136762, 0.106318, 0.469896, -0.41215, 0.707694, 0.114265, 0.239079, -0.104825], [-0.388913, 0.164559, 0.036748, 0.099596, 0.006653, -0.269607, -0.219813, 0.300714], [-0.026473, 0.089358, -0.394633, 0.037825, 0.166912, 0.108273, -0.520114, -0.442384], [0.208438, 0.032107, 0.42775, -0.315922, 0.544739, 0.414567, 0.123927, -0.215862], [0.200405, 0.265314, 0.247003, -0.379422, 0.772715, 0.488327, 0.492817, -0.476645], [-0.344907, 0.192591, -0.265312, -0.168458, -0.206547, 0.175211, -0.059456, -0.200944]], "network.8.bias": [0.408404, 0.33013, 0.325565, 0.153407, -0.286486, 0.236058, 0.246854, -0.160259], "network.10.weight": [[0.519524, -0.388088, -0.779518, 0.140274, -0.092302, -0.398822, -0.489255, -0.194154]], "network.10.bias": [0.12927]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809704303741455, "train_acc": 0.57, "val_loss": 0.7026543617248535, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687776148319244, "train_acc": 0.57, "val_loss": 0.6631693840026855, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.636007159948349, "train_acc": 0.5, "val_loss": 0.5195937156677246, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4585954546928406, "train_acc": 0.93, "val_loss": 0.276886522769928, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.25055593252182007, "train_acc": 0.935, "val_loss": 0.1440630555152893, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.21442507952451706, "train_acc": 0.94, "val_loss": 0.1182984858751297, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.20735561102628708, "train_acc": 0.95, "val_loss": 0.16826406121253967, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24353018403053284, "train_acc": 0.9, "val_loss": 0.11447527259588242, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22504525631666183, "train_acc": 0.925, "val_loss": 0.13604237139225006, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2197819948196411, "train_acc": 0.915, "val_loss": 0.1158929094672203, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.18674178421497345, "train_acc": 0.94, "val_loss": 0.1963503658771515, "val_acc": 0.94}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7026543617248535, "final_val_loss": 0.6631693840026855, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5195937156677246, "final_val_loss": 0.1963503658771515, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
10
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9749, "learning_rate": 0.04776131004515171, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.500303,
0.360095,
0.487294,
0.607866,
0.848291
],
[
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0.280651,
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],
[
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0.142487,
0.339304,
0.430514,
-0.250845
],
[
0.127817,
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-0.172216,
0.398061,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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-0.633098,
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],
[
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],
[
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0.221961,
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],
[
0.25918,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.300338,
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],
[
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],
[
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],
[
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],
"network.4.bias": [
0.650863,
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0.715579
],
"network.6.weight": [
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],
[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
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[
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[
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[
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],
"network.8.bias": [
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1.034686,
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],
"network.10.weight": [
[
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],
[
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],
[
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[
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],
[
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],
"network.10.bias": [
0.707537,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [4.842091, 1.775374, 0.483650, 0.028173, 0.449324]
std: [3.166181, 2.078246, 2.136070, 1.046888, 2.340316]
pca: [[0.827133, 0.438634, -0.223108, -0.068889, -0.262542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413779, -0.130990, 0.798847, 0.234126, 0.344465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299772, 0.508588, 0.547046, -0.372795, -0.461778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111680, 0.059698, 0.036346, 0.852072, -0.506573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205673, 0.726785, -0.107167, 0.274658, 0.585286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.227338, 54.592903, 58.514078, 65.535387, 435.788159], [33.194482, 34.312490, 41.616920, 42.199006, 159.783664], [32.402222, 34.553727, 38.399687, 43.528527, 46.622857], [14.842109, 15.358620, 15.414930, 17.520106, 22.874640], [32.535395, 33.588665, 40.439143, 42.582237, 46.175669]]
### 2
mean: [0.257372, 1.949358, -3.106567, -3.266935, 3.285975]
std: [0.762667, 2.293204, 1.621871, 2.364141, 2.488432]
pca: [[-0.000347, -0.239498, -0.180785, 0.896868, 0.324938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.645632, -0.255397, 0.009924, -0.302937, 0.652735, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389544, -0.142838, 0.850101, 0.016008, 0.323921, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654482, -0.242659, -0.492599, -0.313912, 0.414216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.055388, 0.893380, -0.043509, 0.071125, 0.438011, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.745186, 12.347047, 12.718650, 14.096360, 23.163523], [35.776992, 36.023260, 38.430155, 38.433526, 175.442268], [26.172017, 26.869552, 31.405484, 35.175998, 279.590988], [36.704260, 40.121697, 45.204189, 48.906561, 294.024139], [40.409169, 41.295422, 41.527378, 42.673104, 295.737781]]
### 4
mean: [3.495814, 0.714993, -1.389547, -1.828467, 0.261229]
std: [2.664186, 1.101909, 0.457688, 0.906053, 2.507033]
pca: [[0.691577, 0.477230, 0.149189, 0.512297, -0.096266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250547, 0.467116, 0.491850, -0.112074, 0.681581, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080018, -0.281176, -0.446429, 0.610026, 0.585752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184683, -0.474743, 0.710374, 0.450666, -0.181051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.646867, 0.499613, -0.178595, 0.386987, -0.387679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.777966, 42.240530, 42.903392, 52.363861, 314.623308], [16.636924, 17.163675, 18.021961, 20.740444, 64.349398], [6.974977, 7.015820, 7.214276, 8.148728, 125.059228], [14.380321, 14.389772, 14.406007, 14.668124, 164.561999], [35.255751, 36.377982, 36.557039, 42.219509, 51.495931]]
### 6
mean: [4.079059, 3.771381, -2.657724, 2.690639, 3.337809]
std: [3.980827, 3.951144, 1.434915, 3.128899, 1.382859]
pca: [[0.615602, -0.072818, 0.614805, 0.486255, 0.036096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.611372, -0.009117, -0.179339, -0.505425, -0.581829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.075708, 0.726003, -0.377014, 0.508673, -0.257491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.482964, 0.117412, -0.395948, -0.149462, 0.757527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.090956, -0.673609, -0.539387, 0.476461, -0.141507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.784333, 60.043098, 65.876330, 79.645294, 367.115290], [59.075067, 59.688168, 66.169292, 78.723943, 339.424271], [23.325350, 27.302094, 27.447981, 28.355709, 239.195125], [46.388805, 46.446629, 53.733595, 62.078693, 242.157482], [21.157164, 22.695512, 25.260220, 25.274143, 300.402813]]
### 8
mean: [-0.724722, 10.466688, -5.240358, -1.057474, -1.325549]
std: [0.262236, 7.767156, 4.777078, 1.077974, 2.883852]
pca: [[-0.025001, -0.134123, 0.135440, -0.488570, 0.851082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.808949, 0.349287, 0.330894, -0.303590, -0.148129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497843, -0.004257, 0.629852, -0.459799, -0.379480, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107629, 0.391037, 0.575259, 0.629831, 0.328476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292480, 0.840882, -0.380169, -0.247042, 0.042607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.896252, 4.098126, 4.218075, 4.486684, 65.224995], [117.498224, 118.706825, 118.884914, 158.305435, 942.001981], [72.722854, 72.732226, 74.518698, 98.238225, 471.632234], [16.587150, 16.824746, 18.677930, 22.637193, 95.172710], [44.368878, 44.419195, 49.176965, 60.561521, 119.299442]]
### 10
mean: [-0.427651, -2.489301, 6.381147, -2.571496, -1.143824]
std: [2.835357, 1.629254, 4.894650, 1.296927, 0.534474]
pca: [[-0.452767, 0.797479, -0.346375, 0.121539, 0.155828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268513, -0.288555, -0.417132, 0.517757, -0.634480, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.821736, 0.233425, -0.380147, 0.345873, 0.078248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199126, -0.474694, -0.477951, 0.109020, 0.703343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089450, 0.030698, 0.577127, 0.765273, 0.268957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.744607, 42.943915, 44.987071, 48.935289, 52.239428], [24.166184, 24.220232, 24.238502, 33.785630, 224.037087], [74.471610, 75.610921, 76.619289, 99.201069, 574.303257], [18.420307, 19.292184, 20.275691, 26.034269, 231.434640], [8.089194, 8.259722, 8.520164, 10.237902, 102.944132]]
### 12
mean: [-4.198159]
std: [4.597022]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.644453, 72.397519, 76.185582, 89.113168, 377.834322]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.500303,
0.360095,
0.487294,
0.607866,
0.848291
],
[
0.550974,
0.636062,
-0.065267,
0.280651,
-0.434453
],
[
-0.947375,
0.142487,
0.339304,
0.430514,
-0.250845
],
[
0.127817,
-0.468976,
-0.172216,
0.398061,
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],
[
-0.862973,
0.044614,
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0.514772,
0.601153
]
],
"network.0.bias": [
0.195653,
0.000992,
0.080358,
0.46163,
-0.12064
],
"network.2.weight": [
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0.037662,
0.342042,
-0.52094
],
[
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-0.453315,
-0.633098,
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],
[
-0.17374,
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-0.258416,
-0.380246,
-0.076232
],
[
-0.672244,
-0.166596,
0.347899,
0.221961,
-0.07373
],
[
0.25918,
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0.699829,
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0.951773
]
],
"network.2.bias": [
0.588682,
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0.78255
],
"network.4.weight": [
[
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],
[
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0.300338,
-0.120207
],
[
0.063027,
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0.056369,
-0.190713
],
[
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],
[
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0.804071,
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]
],
"network.4.bias": [
0.650863,
0.386239,
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0.715579
],
"network.6.weight": [
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0.114721,
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],
[
1.129107,
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-0.216499,
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],
[
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],
[
0.793312,
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0.433892,
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],
[
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0.447985
]
],
"network.6.bias": [
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0.699975,
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],
"network.8.weight": [
[
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],
[
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0.149679,
0.90704,
0.153327
],
[
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[
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],
[
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]
],
"network.8.bias": [
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1.034686,
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0.950433
],
"network.10.weight": [
[
-0.219898,
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0.176029,
0.905704
],
[
-0.059607,
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0.016497,
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[
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0.597817,
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-0.035309
],
[
-0.391154,
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0.19046,
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],
[
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]
],
"network.10.bias": [
0.707537,
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],
"network.12.weight": [
[
0.733564,
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]
],
"network.12.bias": [
-0.167721
]
}
## Activation Signature
### 0
mean: [4.842091, 1.775374, 0.483650, 0.028173, 0.449324]
std: [3.166181, 2.078246, 2.136070, 1.046888, 2.340316]
pca: [[0.827133, 0.438634, -0.223108, -0.068889, -0.262542, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413779, -0.130990, 0.798847, 0.234126, 0.344465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299772, 0.508588, 0.547046, -0.372795, -0.461778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111680, 0.059698, 0.036346, 0.852072, -0.506573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205673, 0.726785, -0.107167, 0.274658, 0.585286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.227338, 54.592903, 58.514078, 65.535387, 435.788159], [33.194482, 34.312490, 41.616920, 42.199006, 159.783664], [32.402222, 34.553727, 38.399687, 43.528527, 46.622857], [14.842109, 15.358620, 15.414930, 17.520106, 22.874640], [32.535395, 33.588665, 40.439143, 42.582237, 46.175669]]
### 2
mean: [0.257372, 1.949358, -3.106567, -3.266935, 3.285975]
std: [0.762667, 2.293204, 1.621871, 2.364141, 2.488432]
pca: [[-0.000347, -0.239498, -0.180785, 0.896868, 0.324938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.645632, -0.255397, 0.009924, -0.302937, 0.652735, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389544, -0.142838, 0.850101, 0.016008, 0.323921, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654482, -0.242659, -0.492599, -0.313912, 0.414216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.055388, 0.893380, -0.043509, 0.071125, 0.438011, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.745186, 12.347047, 12.718650, 14.096360, 23.163523], [35.776992, 36.023260, 38.430155, 38.433526, 175.442268], [26.172017, 26.869552, 31.405484, 35.175998, 279.590988], [36.704260, 40.121697, 45.204189, 48.906561, 294.024139], [40.409169, 41.295422, 41.527378, 42.673104, 295.737781]]
### 4
mean: [3.495814, 0.714993, -1.389547, -1.828467, 0.261229]
std: [2.664186, 1.101909, 0.457688, 0.906053, 2.507033]
pca: [[0.691577, 0.477230, 0.149189, 0.512297, -0.096266, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250547, 0.467116, 0.491850, -0.112074, 0.681581, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080018, -0.281176, -0.446429, 0.610026, 0.585752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184683, -0.474743, 0.710374, 0.450666, -0.181051, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.646867, 0.499613, -0.178595, 0.386987, -0.387679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.777966, 42.240530, 42.903392, 52.363861, 314.623308], [16.636924, 17.163675, 18.021961, 20.740444, 64.349398], [6.974977, 7.015820, 7.214276, 8.148728, 125.059228], [14.380321, 14.389772, 14.406007, 14.668124, 164.561999], [35.255751, 36.377982, 36.557039, 42.219509, 51.495931]]
### 6
mean: [4.079059, 3.771381, -2.657724, 2.690639, 3.337809]
std: [3.980827, 3.951144, 1.434915, 3.128899, 1.382859]
pca: [[0.615602, -0.072818, 0.614805, 0.486255, 0.036096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.611372, -0.009117, -0.179339, -0.505425, -0.581829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.075708, 0.726003, -0.377014, 0.508673, -0.257491, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.482964, 0.117412, -0.395948, -0.149462, 0.757527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.090956, -0.673609, -0.539387, 0.476461, -0.141507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.784333, 60.043098, 65.876330, 79.645294, 367.115290], [59.075067, 59.688168, 66.169292, 78.723943, 339.424271], [23.325350, 27.302094, 27.447981, 28.355709, 239.195125], [46.388805, 46.446629, 53.733595, 62.078693, 242.157482], [21.157164, 22.695512, 25.260220, 25.274143, 300.402813]]
### 8
mean: [-0.724722, 10.466688, -5.240358, -1.057474, -1.325549]
std: [0.262236, 7.767156, 4.777078, 1.077974, 2.883852]
pca: [[-0.025001, -0.134123, 0.135440, -0.488570, 0.851082, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.808949, 0.349287, 0.330894, -0.303590, -0.148129, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497843, -0.004257, 0.629852, -0.459799, -0.379480, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.107629, 0.391037, 0.575259, 0.629831, 0.328476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.292480, 0.840882, -0.380169, -0.247042, 0.042607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.896252, 4.098126, 4.218075, 4.486684, 65.224995], [117.498224, 118.706825, 118.884914, 158.305435, 942.001981], [72.722854, 72.732226, 74.518698, 98.238225, 471.632234], [16.587150, 16.824746, 18.677930, 22.637193, 95.172710], [44.368878, 44.419195, 49.176965, 60.561521, 119.299442]]
### 10
mean: [-0.427651, -2.489301, 6.381147, -2.571496, -1.143824]
std: [2.835357, 1.629254, 4.894650, 1.296927, 0.534474]
pca: [[-0.452767, 0.797479, -0.346375, 0.121539, 0.155828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268513, -0.288555, -0.417132, 0.517757, -0.634480, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.821736, 0.233425, -0.380147, 0.345873, 0.078248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199126, -0.474694, -0.477951, 0.109020, 0.703343, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.089450, 0.030698, 0.577127, 0.765273, 0.268957, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.744607, 42.943915, 44.987071, 48.935289, 52.239428], [24.166184, 24.220232, 24.238502, 33.785630, 224.037087], [74.471610, 75.610921, 76.619289, 99.201069, 574.303257], [18.420307, 19.292184, 20.275691, 26.034269, 231.434640], [8.089194, 8.259722, 8.520164, 10.237902, 102.944132]]
### 12
mean: [-4.198159]
std: [4.597022]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.644453, 72.397519, 76.185582, 89.113168, 377.834322]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 4.842090606689453, "std": 3.1661813259124756, "pca": [0.8271332383155823, 0.43863385915756226, -0.22310763597488403, -0.06888922303915024, -0.2625417709350586, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [49.22733759496544, 54.59290271642763, 58.51407826303503, 65.53538705413673, 435.78815910220146]}, "1": {"mean": 1.775374174118042, "std": 2.0782456398010254, "pca": [0.4137793481349945, -0.1309897005558014, 0.798847496509552, 0.23412609100341797, 0.34446483850479126, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.19448205584562, 34.31249008297387, 41.61692031793623, 42.199006334810754, 159.7836642935872]}, "2": {"mean": 0.4836502969264984, "std": 2.136070489883423, "pca": [-0.2997719645500183, 0.5085880160331726, 0.547046422958374, -0.3727946877479553, -0.461778461933136, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.40222189772358, 34.553727192937544, 38.399686556026694, 43.528527058660984, 46.62285731232222]}, "3": {"mean": 0.028172820806503296, "std": 1.0468883514404297, "pca": [-0.11168019473552704, 0.059697866439819336, 0.036346279084682465, 0.8520718216896057, -0.5065730810165405, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.84210912587464, 15.35862018605814, 15.414929689629183, 17.520105855511133, 22.874640285640737]}, "4": {"mean": 0.44932377338409424, "std": 2.3403160572052, "pca": [-0.20567335188388824, 0.7267850041389465, -0.10716744512319565, 0.2746579647064209, 0.5852864384651184, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.53539541640046, 33.588664548354416, 40.43914323300123, 42.58223653623941, 46.175669324389304]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.25737249851226807, "std": 0.7626673579216003, "pca": [-0.00034705796861089766, -0.2394978404045105, -0.1807849109172821, 0.8968684673309326, 0.3249375522136688, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.745185642597495, 12.347047475601434, 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[8.089193991619982, 8.259721568618856, 8.520164335726799, 10.237901807720327, 102.94413223862648]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -4.1981587409973145, "std": 4.59702205657959, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [69.64445284262034, 72.39751857849143, 76.18558231423681, 89.11316815656114, 377.83432245254517]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.500303, 0.360095, 0.487294, 0.607866, 0.848291], [0.550974, 0.636062, -0.065267, 0.280651, -0.434453], [-0.947375, 0.142487, 0.339304, 0.430514, -0.250845], [0.127817, -0.468976, -0.172216, 0.398061, -0.187961], [-0.862973, 0.044614, -0.135352, 0.514772, 0.601153]], "network.0.bias": [0.195653, 0.000992, 0.080358, 0.46163, -0.12064], "network.2.weight": [[-0.010073, 0.059244, 0.037662, 0.342042, -0.52094], [0.358063, 0.64124, -0.453315, -0.633098, -0.354225], [-0.17374, -0.600807, -0.258416, -0.380246, -0.076232], [-0.672244, -0.166596, 0.347899, 0.221961, -0.07373], [0.25918, -0.445785, 0.699829, 0.479309, 0.951773]], "network.2.bias": [0.588682, 0.214496, -0.595319, -0.109255, 0.78255], "network.4.weight": [[0.589969, -0.336087, 0.108827, -0.446314, 0.986849], [-0.392093, 0.45332, -0.044341, 0.300338, -0.120207], [0.063027, -0.078277, -0.36721, 0.056369, -0.190713], [-0.362951, -0.089719, -0.035969, -0.22142, -0.424396], [-0.571098, 0.804071, -0.083268, -0.419644, -0.546339]], "network.4.bias": [0.650863, 0.386239, -0.635583, -0.08702, 0.715579], "network.6.weight": [[1.188161, -0.289077, 0.114721, -0.42908, -0.535296], [1.129107, -0.18894, -0.270801, -0.216499, -0.667133], [-0.434341, -0.448443, -0.314121, -0.340095, -0.765645], [0.793312, -0.188154, -0.136274, 0.433892, -0.663203], [0.697722, 0.514323, -0.08199, 0.281672, 0.447985]], "network.6.bias": [0.62492, 0.587377, 0.042101, 0.699975, -0.021421], "network.8.weight": [[0.074177, -0.107319, -0.105117, -0.029678, -0.092964], [0.996119, 0.672239, 0.149679, 0.90704, 0.153327], [-0.496069, -0.421864, -0.163412, -0.759388, 0.041515], [-0.302005, 0.218972, 0.063319, -0.398523, 0.273063], [-0.494037, -0.390588, -0.423876, -0.173145, 0.64188]], "network.8.bias": [-0.197562, -0.228519, 1.034686, -0.285029, 0.950433], "network.10.weight": [[-0.219898, -0.190944, 0.786125, 0.176029, 0.905704], [-0.059607, -0.226763, -0.41008, 0.016497, -0.013595], [-0.311035, 0.597817, -0.432606, -0.413965, -0.035309], [-0.391154, -0.207717, -0.554663, 0.19046, -0.263792], [-0.404038, -0.055048, 0.153535, -0.438568, 0.142796]], "network.10.bias": [0.707537, -0.008378, 0.313014, -0.100457, -0.64538], "network.12.weight": [[0.733564, -0.231835, -0.736627, -0.111804, -0.171601]], "network.12.bias": [-0.167721]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6746063232421875, "train_acc": 0.595, "val_loss": 0.7366824150085449, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757084429264069, "train_acc": 0.595, "val_loss": 0.7434150576591492, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6772147119045258, "train_acc": 0.595, "val_loss": 0.7370006442070007, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6666013300418854, "train_acc": 0.595, "val_loss": 0.7140834927558899, "val_acc": 0.42}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6566289067268372, "train_acc": 0.595, "val_loss": 0.6745942831039429, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6379738748073578, "train_acc": 0.52, "val_loss": 0.5746404528617859, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5374957025051117, "train_acc": 0.91, "val_loss": 0.4253078103065491, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.39731547236442566, "train_acc": 0.89, "val_loss": 0.20913323760032654, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.2263244315981865, "train_acc": 0.93, "val_loss": 0.16810180246829987, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.26500484347343445, "train_acc": 0.915, "val_loss": 0.17977140843868256, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.24243559688329697, "train_acc": 0.925, "val_loss": 0.10325291752815247, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.1772896945476532, "train_acc": 0.945, "val_loss": 0.09885694831609726, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.14707917720079422, "train_acc": 0.95, "val_loss": 0.12424915283918381, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.1781994104385376, "train_acc": 0.93, "val_loss": 0.12111902236938477, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.18345122039318085, "train_acc": 0.95, "val_loss": 0.1221982017159462, "val_acc": 0.98}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7366824150085449, "final_val_loss": 0.6745942831039429, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5746404528617859, "final_val_loss": 0.1221982017159462, "initial_val_acc": 0.94, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.56, "first_improvement_epoch": 4}}
|
11
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1579, "learning_rate": 0.09508480999907651, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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[
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"network.4.bias": [
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"network.6.weight": [
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0.625874,
0.317809,
-0.616202
],
[
0.118304,
0.445564,
-0.210364,
-0.046302,
0.843875
],
[
0.109366,
0.406377,
-0.078904,
-0.189077,
-0.359533
],
[
0.062409,
0.144846,
-0.03843,
0.649942,
-0.392719
]
],
"network.6.bias": [
0.341756,
0.517815,
0.256439,
-0.152563,
0.042659
],
"network.8.weight": [
[
-0.384265,
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0.154629,
-0.011547,
-0.028732
],
[
0.161919,
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-0.005874,
0.278318,
-0.003688
],
[
0.00359,
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0.445914,
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],
[
0.169405,
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0.22399,
-0.103636,
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],
[
0.784156,
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]
],
"network.8.bias": [
0.265441,
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0.335133,
0.286779
],
"network.10.weight": [
[
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0.016092,
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0.517016
],
[
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0.626862
],
[
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0.440622,
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],
[
0.156757,
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[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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],
"network.12.bias": [
0.182645
]
}
## Activation Signature
### 0
mean: [2.552026, -0.212087, 0.919728, 1.969586, 2.954048]
std: [1.924298, 1.245903, 1.794801, 2.537413, 2.728461]
pca: [[0.412019, 0.148224, 0.622126, -0.511485, 0.399515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.180300, -0.117724, -0.564269, 0.046283, 0.795670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.378825, 0.222634, -0.538389, -0.597577, -0.399955, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375210, 0.907458, -0.055911, 0.031599, 0.177798, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716549, 0.301868, 0.039617, 0.614934, -0.125383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.184368, 31.879258, 35.937409, 40.938280, 229.682368], [19.087846, 21.619644, 21.888105, 22.142056, 22.331574], [27.822885, 27.833949, 28.703379, 35.058143, 82.775536], [38.213600, 40.345158, 40.924707, 43.261360, 177.262785], [46.849129, 51.974525, 55.629160, 59.648686, 265.864362]]
### 2
mean: [2.163411, -2.628368, 1.948181, 1.008291, -0.488917]
std: [2.583901, 1.558398, 1.475637, 1.157402, 1.097342]
pca: [[0.788173, 0.007835, 0.296462, -0.523978, -0.127590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391333, -0.498222, 0.649179, -0.131418, -0.399912, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.102848, 0.829392, 0.401872, 0.166657, -0.335045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339264, -0.157037, 0.477844, 0.676812, 0.416929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316170, 0.197892, 0.317555, -0.471516, 0.733285, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.315663, 46.479432, 53.145207, 60.329832, 194.706959], [23.169371, 25.254910, 29.279014, 34.318210, 236.553080], [21.456898, 22.041919, 23.431257, 24.832909, 175.336294], [18.800994, 20.081465, 24.340008, 25.505727, 90.746208], [18.083102, 20.366507, 20.664737, 25.437381, 44.002560]]
### 4
mean: [-1.969609, -1.188326, 1.651953, 1.705666, 0.507232]
std: [0.926434, 0.565085, 2.229919, 2.698236, 1.880157]
pca: [[-0.020968, 0.753630, 0.427100, -0.470213, -0.167593, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120233, 0.245168, 0.505911, 0.717925, 0.392524, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.567016, -0.056933, 0.054801, -0.333692, 0.748931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.681882, -0.248397, 0.447870, 0.155933, -0.498431, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445683, -0.554068, 0.598372, -0.357518, 0.092229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.218963, 13.233889, 16.121199, 18.482509, 177.264838], [8.321510, 10.640312, 11.843073, 12.473741, 106.949370], [35.356760, 39.872760, 45.727480, 51.985441, 148.675769], [44.174861, 45.779739, 55.820881, 63.450478, 153.509969], [27.999815, 32.353344, 38.065339, 39.041302, 45.650896]]
### 6
mean: [1.395724, 1.656297, 0.653517, -1.044338, 0.852664]
std: [2.487045, 2.622955, 1.492736, 0.504279, 1.852053]
pca: [[0.578457, 0.080754, -0.261211, -0.308941, 0.703698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.610046, 0.088038, -0.404915, 0.516552, -0.435100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326399, 0.721001, -0.104147, 0.483495, 0.359176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051727, -0.639967, 0.113884, 0.623161, 0.431819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.428975, 0.237335, 0.862553, 0.125032, -0.004794, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.765461, 47.580648, 50.863643, 57.153403, 125.615188], [39.805247, 50.189251, 53.693812, 60.250753, 149.066772], [23.073616, 23.495329, 30.583750, 31.150544, 58.816530], [7.491640, 7.820924, 9.132302, 10.281015, 93.990373], [28.705194, 34.316983, 38.673806, 43.029323, 76.739710]]
### 8
mean: [-0.562385, -1.473319, -1.375765, -0.048485, 2.918285]
std: [1.246939, 0.873551, 1.139159, 0.864554, 4.099606]
pca: [[-0.271351, -0.023738, 0.090349, 0.886832, -0.362175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189398, 0.316889, 0.684310, 0.131910, 0.614841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244963, 0.757312, 0.107799, -0.280322, -0.525615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186075, -0.549517, 0.632594, -0.304676, -0.412801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.892114, 0.153387, 0.334307, 0.157228, -0.210057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.709277, 22.982388, 26.593529, 28.483182, 50.614645], [12.988285, 15.459255, 19.283291, 19.760852, 132.598701], [17.396901, 19.344027, 25.524542, 25.556460, 123.818835], [12.082037, 12.834657, 16.833384, 17.332100, 19.685336], [61.677807, 75.682511, 87.288172, 93.745489, 262.645695]]
### 10
mean: [1.342371, 1.968747, -1.303381, -0.465987, -2.041885]
std: [2.113235, 2.555555, 1.413491, 0.192084, 1.765574]
pca: [[0.526132, 0.273057, -0.165875, 0.787764, 0.023195, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636257, 0.327850, 0.538349, -0.428720, 0.118622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351950, -0.113365, 0.727787, 0.415798, 0.400896, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.047163, 0.214332, -0.389109, -0.150692, 0.881886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438484, 0.871301, 0.039825, 0.005608, -0.216679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.388457, 38.382787, 45.244465, 48.191275, 120.813357], [37.935925, 46.402034, 54.777194, 58.263505, 177.187202], [21.016396, 25.599182, 30.289837, 32.222797, 117.304265], [2.941297, 3.160913, 4.231300, 4.349228, 41.938800], [26.167165, 30.657340, 38.907172, 39.771872, 183.769691]]
### 12
mean: [-1.548844]
std: [1.972446]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.026908, 34.457560, 43.045899, 44.459474, 139.395934]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.061019,
0.045929,
0.324688,
0.282345,
0.823829
],
[
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-0.426448,
-0.204695,
0.164566
],
[
0.799022,
0.067241,
-0.38051,
0.206821,
0.307067
],
[
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0.553502,
0.332544,
0.555975,
-1.050467
],
[
0.750737,
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0.231354,
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]
],
"network.0.bias": [
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-0.224526,
0.514649,
-0.09106
],
"network.2.weight": [
[
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],
[
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-0.366786
],
[
0.11121,
-0.317011,
-0.195938,
0.707295,
0.178555
],
[
0.23366,
0.426977,
-0.006594,
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0.147619
],
[
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-0.007467
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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-0.349275
],
[
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-0.209152
],
[
0.829887,
-0.053306,
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0.379178,
-0.4462
],
[
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0.666016,
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0.324336
]
],
"network.4.bias": [
-0.110793,
-0.356415,
0.498037,
-0.040075,
0.279878
],
"network.6.weight": [
[
0.348501,
-0.268313,
0.542425,
0.340657,
-0.593789
],
[
0.32979,
-0.312879,
0.625874,
0.317809,
-0.616202
],
[
0.118304,
0.445564,
-0.210364,
-0.046302,
0.843875
],
[
0.109366,
0.406377,
-0.078904,
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-0.359533
],
[
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0.649942,
-0.392719
]
],
"network.6.bias": [
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0.517815,
0.256439,
-0.152563,
0.042659
],
"network.8.weight": [
[
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0.154629,
-0.011547,
-0.028732
],
[
0.161919,
-0.538537,
-0.005874,
0.278318,
-0.003688
],
[
0.00359,
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0.445914,
-0.10285
],
[
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0.22399,
-0.103636,
-0.037213
],
[
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-0.549717,
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0.37365
]
],
"network.8.bias": [
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-0.667321,
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0.335133,
0.286779
],
"network.10.weight": [
[
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0.167353,
0.016092,
-0.433024,
0.517016
],
[
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0.626862
],
[
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0.440622,
-0.347431
],
[
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-0.420761,
-0.189531,
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],
[
0.135401,
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]
],
"network.10.bias": [
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0.135356,
-0.286595,
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-0.448845
],
"network.12.weight": [
[
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-0.407041,
0.253642,
0.175452
]
],
"network.12.bias": [
0.182645
]
}
## Activation Signature
### 0
mean: [2.552026, -0.212087, 0.919728, 1.969586, 2.954048]
std: [1.924298, 1.245903, 1.794801, 2.537413, 2.728461]
pca: [[0.412019, 0.148224, 0.622126, -0.511485, 0.399515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.180300, -0.117724, -0.564269, 0.046283, 0.795670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.378825, 0.222634, -0.538389, -0.597577, -0.399955, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375210, 0.907458, -0.055911, 0.031599, 0.177798, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.716549, 0.301868, 0.039617, 0.614934, -0.125383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.184368, 31.879258, 35.937409, 40.938280, 229.682368], [19.087846, 21.619644, 21.888105, 22.142056, 22.331574], [27.822885, 27.833949, 28.703379, 35.058143, 82.775536], [38.213600, 40.345158, 40.924707, 43.261360, 177.262785], [46.849129, 51.974525, 55.629160, 59.648686, 265.864362]]
### 2
mean: [2.163411, -2.628368, 1.948181, 1.008291, -0.488917]
std: [2.583901, 1.558398, 1.475637, 1.157402, 1.097342]
pca: [[0.788173, 0.007835, 0.296462, -0.523978, -0.127590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.391333, -0.498222, 0.649179, -0.131418, -0.399912, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.102848, 0.829392, 0.401872, 0.166657, -0.335045, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.339264, -0.157037, 0.477844, 0.676812, 0.416929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316170, 0.197892, 0.317555, -0.471516, 0.733285, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.315663, 46.479432, 53.145207, 60.329832, 194.706959], [23.169371, 25.254910, 29.279014, 34.318210, 236.553080], [21.456898, 22.041919, 23.431257, 24.832909, 175.336294], [18.800994, 20.081465, 24.340008, 25.505727, 90.746208], [18.083102, 20.366507, 20.664737, 25.437381, 44.002560]]
### 4
mean: [-1.969609, -1.188326, 1.651953, 1.705666, 0.507232]
std: [0.926434, 0.565085, 2.229919, 2.698236, 1.880157]
pca: [[-0.020968, 0.753630, 0.427100, -0.470213, -0.167593, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120233, 0.245168, 0.505911, 0.717925, 0.392524, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.567016, -0.056933, 0.054801, -0.333692, 0.748931, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.681882, -0.248397, 0.447870, 0.155933, -0.498431, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445683, -0.554068, 0.598372, -0.357518, 0.092229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.218963, 13.233889, 16.121199, 18.482509, 177.264838], [8.321510, 10.640312, 11.843073, 12.473741, 106.949370], [35.356760, 39.872760, 45.727480, 51.985441, 148.675769], [44.174861, 45.779739, 55.820881, 63.450478, 153.509969], [27.999815, 32.353344, 38.065339, 39.041302, 45.650896]]
### 6
mean: [1.395724, 1.656297, 0.653517, -1.044338, 0.852664]
std: [2.487045, 2.622955, 1.492736, 0.504279, 1.852053]
pca: [[0.578457, 0.080754, -0.261211, -0.308941, 0.703698, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.610046, 0.088038, -0.404915, 0.516552, -0.435100, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326399, 0.721001, -0.104147, 0.483495, 0.359176, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051727, -0.639967, 0.113884, 0.623161, 0.431819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.428975, 0.237335, 0.862553, 0.125032, -0.004794, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.765461, 47.580648, 50.863643, 57.153403, 125.615188], [39.805247, 50.189251, 53.693812, 60.250753, 149.066772], [23.073616, 23.495329, 30.583750, 31.150544, 58.816530], [7.491640, 7.820924, 9.132302, 10.281015, 93.990373], [28.705194, 34.316983, 38.673806, 43.029323, 76.739710]]
### 8
mean: [-0.562385, -1.473319, -1.375765, -0.048485, 2.918285]
std: [1.246939, 0.873551, 1.139159, 0.864554, 4.099606]
pca: [[-0.271351, -0.023738, 0.090349, 0.886832, -0.362175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189398, 0.316889, 0.684310, 0.131910, 0.614841, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244963, 0.757312, 0.107799, -0.280322, -0.525615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186075, -0.549517, 0.632594, -0.304676, -0.412801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.892114, 0.153387, 0.334307, 0.157228, -0.210057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.709277, 22.982388, 26.593529, 28.483182, 50.614645], [12.988285, 15.459255, 19.283291, 19.760852, 132.598701], [17.396901, 19.344027, 25.524542, 25.556460, 123.818835], [12.082037, 12.834657, 16.833384, 17.332100, 19.685336], [61.677807, 75.682511, 87.288172, 93.745489, 262.645695]]
### 10
mean: [1.342371, 1.968747, -1.303381, -0.465987, -2.041885]
std: [2.113235, 2.555555, 1.413491, 0.192084, 1.765574]
pca: [[0.526132, 0.273057, -0.165875, 0.787764, 0.023195, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.636257, 0.327850, 0.538349, -0.428720, 0.118622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351950, -0.113365, 0.727787, 0.415798, 0.400896, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.047163, 0.214332, -0.389109, -0.150692, 0.881886, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438484, 0.871301, 0.039825, 0.005608, -0.216679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.388457, 38.382787, 45.244465, 48.191275, 120.813357], [37.935925, 46.402034, 54.777194, 58.263505, 177.187202], [21.016396, 25.599182, 30.289837, 32.222797, 117.304265], [2.941297, 3.160913, 4.231300, 4.349228, 41.938800], [26.167165, 30.657340, 38.907172, 39.771872, 183.769691]]
### 12
mean: [-1.548844]
std: [1.972446]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.026908, 34.457560, 43.045899, 44.459474, 139.395934]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7276186645030975, "train_acc": 0.575, "val_loss": 0.7131456136703491, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.672491192817688, "train_acc": 0.575, "val_loss": 0.672955334186554, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6501280963420868, "train_acc": 0.5, "val_loss": 0.4741523861885071, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6604024767875671, "train_acc": 0.68, "val_loss": 0.4302540719509125, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.47391873598098755, "train_acc": 0.835, "val_loss": 0.5643723011016846, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5855925679206848, "train_acc": 0.71, "val_loss": 0.6301978826522827, "val_acc": 0.64}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6101351678371429, "train_acc": 0.69, "val_loss": 0.5426819324493408, "val_acc": 0.72}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7131456136703491, "final_val_loss": 0.672955334186554, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4741523861885071, "final_val_loss": 0.5426819324493408, "initial_val_acc": 0.7, "final_val_acc": 0.72, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
12
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2113, "learning_rate": 0.0493680412770662, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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1.082063
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[
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[
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0.575184
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[
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]
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"network.2.bias": [
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"network.4.weight": [
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"network.6.weight": [
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"network.6.bias": [
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"network.8.weight": [
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[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.06221,
-0.718993,
-0.078615,
-0.450768,
0.373805,
-0.603048
]
],
"network.10.bias": [
0.768201
]
}
## Activation Signature
### 0
mean: [1.527999, -2.444268, 0.395339, 0.084317, 1.460734, 2.064227, 2.033534, -1.308800]
std: [2.212802, 1.750507, 1.639926, 1.668589, 2.210413, 1.694392, 2.366525, 1.544747]
pca: [[0.403800, 0.322728, -0.570647, 0.212727, -0.327861, -0.331460, -0.145351, 0.351305, 0.000000, 0.000000], [-0.183039, 0.604097, 0.253772, 0.198802, 0.532452, -0.451228, 0.086978, 0.054438, 0.000000, 0.000000], [0.362964, -0.003891, 0.313054, -0.005564, 0.308842, 0.407903, -0.291579, 0.650708, 0.000000, 0.000000], [0.235979, 0.040795, 0.625294, -0.223515, -0.459664, -0.408047, -0.334373, -0.109998, 0.000000, 0.000000], [0.524474, 0.121087, -0.138900, 0.045142, 0.347032, 0.153830, -0.357332, -0.645874, 0.000000, 0.000000], [-0.032929, -0.557407, 0.096332, 0.741082, 0.100015, -0.274249, -0.210929, 0.004956, 0.000000, 0.000000], [0.557189, -0.059365, 0.226858, 0.174580, -0.041672, -0.006621, 0.774604, -0.047776, 0.000000, 0.000000], [-0.171455, 0.447599, 0.202307, 0.532463, -0.412501, 0.504698, -0.047920, -0.136528, 0.000000, 0.000000]]
fourier: [[33.960941, 36.275807, 36.821957, 44.355828, 137.519904], [24.948597, 26.239707, 32.141507, 33.253652, 219.984098], [27.757917, 28.486430, 31.570707, 35.580497, 37.389141], [23.990184, 24.264477, 28.196140, 30.803367, 36.935708], [32.493388, 33.859755, 42.228101, 51.388286, 131.466099], [26.246527, 27.346951, 30.124195, 32.653598, 185.780433], [38.827792, 42.236535, 50.718135, 52.507956, 183.018075], [21.802021, 22.143181, 24.801151, 33.074472, 117.791966]]
### 2
mean: [-1.370652, 0.802617, 3.523433, 1.707444, -1.093069, -0.006208, 3.654875, 3.552039]
std: [1.062799, 1.490916, 4.379727, 2.498060, 0.688056, 1.317919, 5.166509, 4.452683]
pca: [[-0.117734, -0.117740, -0.188706, -0.430328, -0.328499, 0.786188, -0.062346, 0.146948, 0.000000, 0.000000], [-0.126131, 0.549010, 0.632342, -0.089974, 0.393753, 0.314830, -0.141531, 0.023185, 0.000000, 0.000000], [0.506972, 0.106742, 0.222576, -0.071014, -0.379369, -0.192761, -0.385899, 0.589074, 0.000000, 0.000000], [0.272044, -0.449337, 0.543813, -0.318659, -0.007947, -0.021934, 0.570099, -0.035423, 0.000000, 0.000000], [-0.070430, -0.078061, -0.266611, 0.011297, 0.548782, 0.035577, 0.287092, 0.729991, 0.000000, 0.000000], [-0.146687, 0.109011, 0.187458, 0.712542, -0.409848, 0.252402, 0.391602, 0.196741, 0.000000, 0.000000], [0.597328, -0.290265, -0.043272, 0.409883, 0.348738, 0.421935, -0.233915, -0.186294, 0.000000, 0.000000], [0.505889, 0.607616, -0.333417, -0.155845, -0.048032, 0.046372, 0.460066, -0.152664, 0.000000, 0.000000]]
fourier: [[15.153866, 19.420994, 21.788349, 22.789376, 123.358640], [22.039588, 23.386097, 24.005563, 27.702864, 72.235540], [63.731486, 69.216947, 90.588204, 102.547217, 317.109022], [37.883935, 40.268119, 48.031261, 57.893474, 153.669947], [10.061078, 12.733552, 13.967278, 14.418458, 98.376180], [18.703968, 18.936111, 21.318621, 25.797966, 30.848362], [77.549643, 77.709284, 101.176123, 121.596460, 328.938747], [70.416998, 73.657715, 94.935439, 100.330065, 319.683490]]
### 4
mean: [-4.348037, 4.874043, -1.040269, -1.320974, -2.908418, -4.066556, -3.223229, 7.470369]
std: [4.567565, 6.966033, 3.202948, 3.922532, 3.264349, 4.501506, 2.474346, 10.458923]
pca: [[-0.292097, -0.491814, 0.383320, 0.231106, 0.202438, 0.003136, 0.555880, -0.349944, 0.000000, 0.000000], [0.449599, -0.211228, 0.028545, 0.578006, 0.306585, 0.485325, -0.171667, 0.243585, 0.000000, 0.000000], [-0.203508, 0.408587, 0.572947, 0.340132, 0.181492, -0.410912, -0.116769, 0.363676, 0.000000, 0.000000], [-0.249775, 0.512104, -0.286524, -0.041722, 0.359546, 0.381634, 0.527298, 0.196381, 0.000000, 0.000000], [-0.210596, -0.066533, -0.313312, -0.012872, 0.727311, -0.247577, -0.407345, -0.310945, 0.000000, 0.000000], [-0.289221, -0.340374, 0.308324, -0.550777, 0.191347, 0.329657, -0.221316, 0.455861, 0.000000, 0.000000], [-0.155784, -0.404538, -0.479421, 0.192335, -0.065831, -0.409738, 0.200358, 0.576958, 0.000000, 0.000000], [0.675625, -0.019395, 0.137164, -0.393135, 0.364531, -0.334819, 0.338816, 0.100012, 0.000000, 0.000000]]
fourier: [[70.037500, 78.124825, 95.912655, 104.602581, 391.323363], [102.520476, 103.526948, 139.652509, 165.118011, 438.663919], [49.762432, 51.235618, 64.329229, 75.830679, 93.624198], [58.704884, 62.159043, 75.629653, 93.999244, 118.887647], [47.909409, 49.000394, 65.880828, 77.499738, 261.757658], [66.856471, 73.437321, 92.279645, 104.420627, 365.990091], [36.965240, 44.847841, 50.630455, 55.499171, 290.090601], [154.034216, 155.113070, 213.861609, 246.855123, 672.333186]]
### 6
mean: [8.820800, 4.265804, 1.518348, 4.317741, -4.018189, -0.803881, -3.658642, -1.634476]
std: [13.564059, 6.883950, 0.998996, 7.129954, 4.154654, 0.836935, 4.435127, 0.972557]
pca: [[0.757819, -0.087975, 0.239242, -0.143116, -0.416162, -0.139783, 0.277079, -0.265987, 0.000000, 0.000000], [0.384488, -0.147171, -0.059666, 0.610649, 0.572280, -0.037426, -0.181962, -0.303383, 0.000000, 0.000000], [-0.036362, 0.634228, 0.376275, -0.297429, 0.476435, -0.052288, 0.250745, -0.271641, 0.000000, 0.000000], [0.398234, -0.148390, -0.241684, -0.371499, 0.452855, 0.035835, 0.175119, 0.621240, 0.000000, 0.000000], [-0.228601, -0.604320, 0.148018, -0.414917, 0.233677, -0.482076, -0.093357, -0.304558, 0.000000, 0.000000], [-0.046302, -0.069038, 0.729211, 0.330621, -0.009358, -0.283633, -0.011212, 0.520932, 0.000000, 0.000000], [-0.247485, -0.185616, -0.155557, 0.297431, 0.038950, -0.079933, 0.884316, -0.041404, 0.000000, 0.000000], [-0.048122, -0.376715, 0.401687, -0.101087, 0.105009, 0.809820, 0.075642, -0.107897, 0.000000, 0.000000]]
fourier: [[199.527810, 204.632295, 277.651517, 319.528283, 793.872015], [102.368165, 105.163394, 141.156885, 161.533710, 383.922342], [15.352013, 17.316768, 17.986397, 20.924787, 136.651325], [106.026008, 108.690981, 146.717048, 167.292633, 388.596721], [58.939471, 63.871374, 82.516037, 99.057641, 361.637024], [12.659915, 13.602197, 17.727504, 19.453046, 72.349273], [64.451147, 64.515869, 90.114183, 105.339188, 329.277730], [13.410693, 16.593888, 17.605586, 21.877135, 147.102802]]
### 8
mean: [-3.007651, 12.489669, -2.158937, 10.595908, -0.939069, 11.116372, -2.361548, 7.827325]
std: [3.776305, 19.619114, 2.915807, 16.212366, 0.420447, 17.463137, 4.129515, 11.971513]
pca: [[-0.112002, -0.290615, 0.309248, -0.220277, 0.408466, 0.124557, 0.744329, 0.149861, 0.000000, 0.000000], [0.582114, -0.229047, 0.511365, 0.405607, -0.247717, -0.215588, 0.126582, -0.242497, 0.000000, 0.000000], [-0.086488, -0.195747, -0.206579, 0.645552, 0.657759, -0.194285, -0.149874, 0.043995, 0.000000, 0.000000], [0.481027, 0.300475, -0.138642, 0.090669, -0.006617, -0.000158, 0.117082, 0.798206, 0.000000, 0.000000], [-0.011457, -0.452439, 0.396304, -0.083252, 0.060361, 0.464836, -0.546271, 0.336231, 0.000000, 0.000000], [0.518144, -0.225486, -0.210227, -0.575517, 0.371272, -0.308964, -0.211988, -0.164400, 0.000000, 0.000000], [-0.122353, 0.597435, 0.611895, -0.121636, 0.343243, -0.270110, -0.219317, 0.003896, 0.000000, 0.000000], [0.355187, 0.349292, -0.072855, 0.095166, 0.282488, 0.718171, 0.048274, -0.373596, 0.000000, 0.000000]]
fourier: [[53.509387, 55.454633, 76.379577, 89.989501, 270.688559], [283.229875, 294.152497, 397.875445, 466.198394, 1124.070270], [41.386390, 42.942729, 58.875624, 69.642142, 194.304316], [232.552341, 241.391639, 328.506260, 385.684375, 953.631778], [5.613535, 6.904759, 7.704521, 9.633695, 84.516184], [252.400355, 261.886792, 354.310104, 414.821951, 1000.473435], [61.730706, 63.709041, 84.281573, 97.211852, 212.539335], [171.230130, 177.809332, 242.457398, 284.920077, 704.459278]]
### 10
mean: [-22.899323]
std: [34.450970]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[489.769064, 507.074194, 691.676635, 825.297349, 2060.938980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.2.bias": [
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"network.6.weight": [
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"network.8.weight": [
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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [1.527999, -2.444268, 0.395339, 0.084317, 1.460734, 2.064227, 2.033534, -1.308800]
std: [2.212802, 1.750507, 1.639926, 1.668589, 2.210413, 1.694392, 2.366525, 1.544747]
pca: [[0.403800, 0.322728, -0.570647, 0.212727, -0.327861, -0.331460, -0.145351, 0.351305, 0.000000, 0.000000], [-0.183039, 0.604097, 0.253772, 0.198802, 0.532452, -0.451228, 0.086978, 0.054438, 0.000000, 0.000000], [0.362964, -0.003891, 0.313054, -0.005564, 0.308842, 0.407903, -0.291579, 0.650708, 0.000000, 0.000000], [0.235979, 0.040795, 0.625294, -0.223515, -0.459664, -0.408047, -0.334373, -0.109998, 0.000000, 0.000000], [0.524474, 0.121087, -0.138900, 0.045142, 0.347032, 0.153830, -0.357332, -0.645874, 0.000000, 0.000000], [-0.032929, -0.557407, 0.096332, 0.741082, 0.100015, -0.274249, -0.210929, 0.004956, 0.000000, 0.000000], [0.557189, -0.059365, 0.226858, 0.174580, -0.041672, -0.006621, 0.774604, -0.047776, 0.000000, 0.000000], [-0.171455, 0.447599, 0.202307, 0.532463, -0.412501, 0.504698, -0.047920, -0.136528, 0.000000, 0.000000]]
fourier: [[33.960941, 36.275807, 36.821957, 44.355828, 137.519904], [24.948597, 26.239707, 32.141507, 33.253652, 219.984098], [27.757917, 28.486430, 31.570707, 35.580497, 37.389141], [23.990184, 24.264477, 28.196140, 30.803367, 36.935708], [32.493388, 33.859755, 42.228101, 51.388286, 131.466099], [26.246527, 27.346951, 30.124195, 32.653598, 185.780433], [38.827792, 42.236535, 50.718135, 52.507956, 183.018075], [21.802021, 22.143181, 24.801151, 33.074472, 117.791966]]
### 2
mean: [-1.370652, 0.802617, 3.523433, 1.707444, -1.093069, -0.006208, 3.654875, 3.552039]
std: [1.062799, 1.490916, 4.379727, 2.498060, 0.688056, 1.317919, 5.166509, 4.452683]
pca: [[-0.117734, -0.117740, -0.188706, -0.430328, -0.328499, 0.786188, -0.062346, 0.146948, 0.000000, 0.000000], [-0.126131, 0.549010, 0.632342, -0.089974, 0.393753, 0.314830, -0.141531, 0.023185, 0.000000, 0.000000], [0.506972, 0.106742, 0.222576, -0.071014, -0.379369, -0.192761, -0.385899, 0.589074, 0.000000, 0.000000], [0.272044, -0.449337, 0.543813, -0.318659, -0.007947, -0.021934, 0.570099, -0.035423, 0.000000, 0.000000], [-0.070430, -0.078061, -0.266611, 0.011297, 0.548782, 0.035577, 0.287092, 0.729991, 0.000000, 0.000000], [-0.146687, 0.109011, 0.187458, 0.712542, -0.409848, 0.252402, 0.391602, 0.196741, 0.000000, 0.000000], [0.597328, -0.290265, -0.043272, 0.409883, 0.348738, 0.421935, -0.233915, -0.186294, 0.000000, 0.000000], [0.505889, 0.607616, -0.333417, -0.155845, -0.048032, 0.046372, 0.460066, -0.152664, 0.000000, 0.000000]]
fourier: [[15.153866, 19.420994, 21.788349, 22.789376, 123.358640], [22.039588, 23.386097, 24.005563, 27.702864, 72.235540], [63.731486, 69.216947, 90.588204, 102.547217, 317.109022], [37.883935, 40.268119, 48.031261, 57.893474, 153.669947], [10.061078, 12.733552, 13.967278, 14.418458, 98.376180], [18.703968, 18.936111, 21.318621, 25.797966, 30.848362], [77.549643, 77.709284, 101.176123, 121.596460, 328.938747], [70.416998, 73.657715, 94.935439, 100.330065, 319.683490]]
### 4
mean: [-4.348037, 4.874043, -1.040269, -1.320974, -2.908418, -4.066556, -3.223229, 7.470369]
std: [4.567565, 6.966033, 3.202948, 3.922532, 3.264349, 4.501506, 2.474346, 10.458923]
pca: [[-0.292097, -0.491814, 0.383320, 0.231106, 0.202438, 0.003136, 0.555880, -0.349944, 0.000000, 0.000000], [0.449599, -0.211228, 0.028545, 0.578006, 0.306585, 0.485325, -0.171667, 0.243585, 0.000000, 0.000000], [-0.203508, 0.408587, 0.572947, 0.340132, 0.181492, -0.410912, -0.116769, 0.363676, 0.000000, 0.000000], [-0.249775, 0.512104, -0.286524, -0.041722, 0.359546, 0.381634, 0.527298, 0.196381, 0.000000, 0.000000], [-0.210596, -0.066533, -0.313312, -0.012872, 0.727311, -0.247577, -0.407345, -0.310945, 0.000000, 0.000000], [-0.289221, -0.340374, 0.308324, -0.550777, 0.191347, 0.329657, -0.221316, 0.455861, 0.000000, 0.000000], [-0.155784, -0.404538, -0.479421, 0.192335, -0.065831, -0.409738, 0.200358, 0.576958, 0.000000, 0.000000], [0.675625, -0.019395, 0.137164, -0.393135, 0.364531, -0.334819, 0.338816, 0.100012, 0.000000, 0.000000]]
fourier: [[70.037500, 78.124825, 95.912655, 104.602581, 391.323363], [102.520476, 103.526948, 139.652509, 165.118011, 438.663919], [49.762432, 51.235618, 64.329229, 75.830679, 93.624198], [58.704884, 62.159043, 75.629653, 93.999244, 118.887647], [47.909409, 49.000394, 65.880828, 77.499738, 261.757658], [66.856471, 73.437321, 92.279645, 104.420627, 365.990091], [36.965240, 44.847841, 50.630455, 55.499171, 290.090601], [154.034216, 155.113070, 213.861609, 246.855123, 672.333186]]
### 6
mean: [8.820800, 4.265804, 1.518348, 4.317741, -4.018189, -0.803881, -3.658642, -1.634476]
std: [13.564059, 6.883950, 0.998996, 7.129954, 4.154654, 0.836935, 4.435127, 0.972557]
pca: [[0.757819, -0.087975, 0.239242, -0.143116, -0.416162, -0.139783, 0.277079, -0.265987, 0.000000, 0.000000], [0.384488, -0.147171, -0.059666, 0.610649, 0.572280, -0.037426, -0.181962, -0.303383, 0.000000, 0.000000], [-0.036362, 0.634228, 0.376275, -0.297429, 0.476435, -0.052288, 0.250745, -0.271641, 0.000000, 0.000000], [0.398234, -0.148390, -0.241684, -0.371499, 0.452855, 0.035835, 0.175119, 0.621240, 0.000000, 0.000000], [-0.228601, -0.604320, 0.148018, -0.414917, 0.233677, -0.482076, -0.093357, -0.304558, 0.000000, 0.000000], [-0.046302, -0.069038, 0.729211, 0.330621, -0.009358, -0.283633, -0.011212, 0.520932, 0.000000, 0.000000], [-0.247485, -0.185616, -0.155557, 0.297431, 0.038950, -0.079933, 0.884316, -0.041404, 0.000000, 0.000000], [-0.048122, -0.376715, 0.401687, -0.101087, 0.105009, 0.809820, 0.075642, -0.107897, 0.000000, 0.000000]]
fourier: [[199.527810, 204.632295, 277.651517, 319.528283, 793.872015], [102.368165, 105.163394, 141.156885, 161.533710, 383.922342], [15.352013, 17.316768, 17.986397, 20.924787, 136.651325], [106.026008, 108.690981, 146.717048, 167.292633, 388.596721], [58.939471, 63.871374, 82.516037, 99.057641, 361.637024], [12.659915, 13.602197, 17.727504, 19.453046, 72.349273], [64.451147, 64.515869, 90.114183, 105.339188, 329.277730], [13.410693, 16.593888, 17.605586, 21.877135, 147.102802]]
### 8
mean: [-3.007651, 12.489669, -2.158937, 10.595908, -0.939069, 11.116372, -2.361548, 7.827325]
std: [3.776305, 19.619114, 2.915807, 16.212366, 0.420447, 17.463137, 4.129515, 11.971513]
pca: [[-0.112002, -0.290615, 0.309248, -0.220277, 0.408466, 0.124557, 0.744329, 0.149861, 0.000000, 0.000000], [0.582114, -0.229047, 0.511365, 0.405607, -0.247717, -0.215588, 0.126582, -0.242497, 0.000000, 0.000000], [-0.086488, -0.195747, -0.206579, 0.645552, 0.657759, -0.194285, -0.149874, 0.043995, 0.000000, 0.000000], [0.481027, 0.300475, -0.138642, 0.090669, -0.006617, -0.000158, 0.117082, 0.798206, 0.000000, 0.000000], [-0.011457, -0.452439, 0.396304, -0.083252, 0.060361, 0.464836, -0.546271, 0.336231, 0.000000, 0.000000], [0.518144, -0.225486, -0.210227, -0.575517, 0.371272, -0.308964, -0.211988, -0.164400, 0.000000, 0.000000], [-0.122353, 0.597435, 0.611895, -0.121636, 0.343243, -0.270110, -0.219317, 0.003896, 0.000000, 0.000000], [0.355187, 0.349292, -0.072855, 0.095166, 0.282488, 0.718171, 0.048274, -0.373596, 0.000000, 0.000000]]
fourier: [[53.509387, 55.454633, 76.379577, 89.989501, 270.688559], [283.229875, 294.152497, 397.875445, 466.198394, 1124.070270], [41.386390, 42.942729, 58.875624, 69.642142, 194.304316], [232.552341, 241.391639, 328.506260, 385.684375, 953.631778], [5.613535, 6.904759, 7.704521, 9.633695, 84.516184], [252.400355, 261.886792, 354.310104, 414.821951, 1000.473435], [61.730706, 63.709041, 84.281573, 97.211852, 212.539335], [171.230130, 177.809332, 242.457398, 284.920077, 704.459278]]
### 10
mean: [-22.899323]
std: [34.450970]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[489.769064, 507.074194, 691.676635, 825.297349, 2060.938980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.377859, -0.076088, -0.024231, 0.31154, 1.082063], [0.030309, -0.894335, -0.122209, 0.192874, -0.378988], [0.500833, -0.214237, -0.060078, -0.080287, 0.642048], [0.715606, -0.285371, -0.346654, -0.224239, 0.342228], [0.107805, -0.111892, 0.014476, 0.047243, 1.159183], [0.405028, 0.226363, 0.387624, 0.365782, -0.424588], [0.592286, -0.154187, -0.060218, 0.058757, 1.026856], [0.147727, -0.752045, -0.151457, 0.445769, -0.440973]], "network.0.bias": [0.184866, -0.543216, -0.331726, 0.496705, -0.030739, 0.077265, 0.310763, -0.217927], "network.2.weight": [[-0.27906, -0.363729, -0.0089, -0.168183, 0.059374, -0.067985, -0.262585, -0.374118], [-0.040758, 0.138554, -0.162762, -0.132176, -0.219484, 0.638749, -0.066275, 0.544293], [0.689187, -0.221801, 0.417581, 0.467395, 0.543798, 0.03918, 0.556379, -0.229655], [0.529454, -0.493653, 0.261294, -0.39658, 0.460407, 0.022234, 0.169537, -0.143095], [-0.286236, -0.070179, -0.054812, -0.121101, -0.014438, -0.186789, 0.010968, 0.043248], [0.162986, 0.023404, 0.005535, 0.196944, -0.351332, 0.180321, -0.377175, 0.575184], [0.663384, -0.219162, 0.616016, 0.45349, 0.880929, -0.352192, 0.488063, 0.070389], [0.29267, 0.290508, 0.522572, 0.821814, 0.410707, -0.053511, 0.819561, -0.401881]], "network.2.bias": [-0.121135, 0.147053, -0.342571, -0.198224, -0.09016, 0.422021, 0.087138, -0.106199], "network.4.weight": [[0.058497, -0.403779, -0.453414, -0.119542, 0.353487, -0.016063, -0.12254, -0.431535], [-0.053336, -0.264745, 0.221249, 0.352863, 0.120276, -0.135556, 0.71144, 0.31818], [0.027403, 0.58758, -0.169228, -0.345553, -0.191054, 0.501459, 0.013498, -0.27516], [0.109522, 0.638043, -0.074361, -0.566803, 0.34501, 0.145805, -0.22227, -0.161971], [-0.255065, 0.07044, -0.322439, -0.298022, 0.343457, -0.258019, -0.095192, -0.167889], [-0.198677, -0.250577, -0.089179, -0.109201, -0.071261, -0.272544, -0.39751, -0.472706], [0.183459, -0.474199, -0.463417, -0.013228, -0.319691, -0.15803, -0.153161, 0.02518], [0.382647, -0.060904, 0.743284, 0.715056, -0.230892, -0.491379, 0.628407, 0.499893]], "network.4.bias": [-0.075542, 0.024819, 0.189717, 0.570112, -0.231033, 0.040825, -0.468005, -0.242616], "network.6.weight": [[-0.113514, 0.773496, -0.552975, -0.283408, -0.145291, 0.03534, 0.359773, 0.753958], [0.108356, 0.361038, -0.166812, -0.453091, -0.10168, -0.219976, 0.175, 0.39315], [0.033929, -0.129472, 0.308275, 0.881613, -0.323039, 0.147146, -0.323045, 0.08237], [0.117826, 0.303433, -0.390766, -0.248922, -0.264762, 0.048202, 0.291921, 0.454814], [-0.018137, 0.097024, -0.354415, -0.511072, -0.197818, -0.090182, 0.15493, -0.501649], [-0.06209, 0.270599, -0.011587, -0.034812, 0.248334, 0.112002, -0.135026, -0.261898], [0.316933, -0.200128, 0.114415, -0.230337, -0.224393, 0.147749, -0.201769, -0.30052], [0.312026, 0.261299, -0.270382, -0.340386, -0.130701, -0.296787, 0.326682, -0.286581]], "network.6.bias": [-0.163067, -0.067467, 0.687748, -0.194484, -0.087606, -0.132066, -0.294264, -0.332274], "network.8.weight": [[-0.349795, 0.087622, -0.043809, 0.034299, 0.012802, -0.015345, 0.274026, 0.303684], [0.705779, 0.8196, -0.617271, 0.660468, -0.206892, 0.274091, 0.030447, -0.037796], [-0.114874, 0.108084, -0.00871, -0.311254, -0.000595, -0.231538, 0.082083, 0.3392], [0.880794, 0.30895, -0.273385, 0.348766, 0.130916, 0.201927, -0.349453, 0.308774], [-0.261232, 0.19483, -0.211403, 0.240597, -0.126818, -0.217897, -0.331828, -0.053739], [0.805732, 0.375672, -0.560801, 0.586188, -0.161654, -0.121229, -0.077765, -0.210049], [-0.209051, 0.062032, 0.392835, -0.223781, 0.068024, 0.285176, -0.098184, 0.295615], [0.670753, 0.317882, -0.137416, 0.136989, 0.104849, 0.087662, 0.119974, -0.16328]], "network.8.bias": [-0.249998, -0.092673, -0.097048, -0.289866, -0.230226, -0.071173, -0.233576, -0.341975], "network.10.weight": [[-0.178607, -0.427768, 0.06221, -0.718993, -0.078615, -0.450768, 0.373805, -0.603048]], "network.10.bias": [0.768201]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7061075866222382, "train_acc": 0.435, "val_loss": 0.6892942786216736, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757219135761261, "train_acc": 0.575, "val_loss": 0.6789021492004395, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6358359158039093, "train_acc": 0.575, "val_loss": 0.5983940958976746, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.539980560541153, "train_acc": 0.495, "val_loss": 0.45247164368629456, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.41949795186519623, "train_acc": 0.855, "val_loss": 0.39890480041503906, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3870571106672287, "train_acc": 0.89, "val_loss": 0.38579994440078735, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.35907433927059174, "train_acc": 0.89, "val_loss": 0.5199134945869446, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3481739014387131, "train_acc": 0.89, "val_loss": 0.42794814705848694, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3056681454181671, "train_acc": 0.9, "val_loss": 0.322239488363266, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2827317714691162, "train_acc": 0.9, "val_loss": 0.2977237403392792, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2621725872159004, "train_acc": 0.9, "val_loss": 0.3160547912120819, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.26318076252937317, "train_acc": 0.9, "val_loss": 0.38007310032844543, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.30509985983371735, "train_acc": 0.9, "val_loss": 0.46382224559783936, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6892942786216736, "final_val_loss": 0.5983940958976746, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.45247164368629456, "final_val_loss": 0.46382224559783936, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
13
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7746, "learning_rate": 0.036877951559239695, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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]
],
"network.4.bias": [
-0.137108,
-0.335031,
0.336651,
-0.198463,
-0.096288,
0.61438,
0.204698,
0.450123
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[
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0.269863,
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-0.020965,
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}
## Activation Signature
### 0
mean: [1.157917, -1.578978, 2.878073, 0.983134, -0.699923, -0.297762, 1.899168, 0.449419]
std: [2.024776, 0.923683, 2.164302, 2.185143, 2.130501, 2.191680, 2.106080, 1.441344]
pca: [[0.435266, 0.200890, 0.302902, 0.384388, -0.365356, 0.581454, -0.085648, 0.227538, 0.000000, 0.000000], [0.009864, -0.071904, -0.391012, -0.084920, 0.381393, 0.561040, 0.601244, 0.113620, 0.000000, 0.000000], [-0.356465, 0.160685, 0.680309, -0.321887, 0.140050, 0.014489, 0.233868, 0.454052, 0.000000, 0.000000], [0.458853, 0.375075, 0.041304, -0.435142, -0.320803, -0.229160, 0.473024, -0.280247, 0.000000, 0.000000], [0.415556, -0.457193, -0.177425, -0.150234, -0.112660, -0.295624, 0.020534, 0.680978, 0.000000, 0.000000], [0.021813, 0.747494, -0.385446, -0.046850, 0.222505, -0.095541, -0.292417, 0.381929, 0.000000, 0.000000], [0.468341, 0.025140, 0.315795, 0.347288, 0.684564, -0.265785, 0.085194, -0.114722, 0.000000, 0.000000], [-0.283420, 0.139888, -0.105164, 0.637730, -0.260188, -0.356732, 0.509447, 0.166894, 0.000000, 0.000000]]
fourier: [[32.055004, 33.988489, 34.076466, 35.224736, 104.212573], [14.429468, 15.575033, 16.680139, 18.247285, 142.108035], [34.402195, 36.206033, 40.698480, 40.940406, 259.026596], [32.069169, 34.438910, 34.659580, 43.295844, 88.482061], [34.305917, 37.681050, 39.332258, 48.694903, 62.993022], [33.194180, 35.435392, 36.593468, 37.640156, 41.572746], [32.461264, 36.099194, 36.251169, 40.000146, 170.925109], [22.652395, 23.009847, 23.338512, 25.365419, 40.447689]]
### 2
mean: [-0.518621, 0.964633, 3.252434, -0.275783, -1.446114, -1.717862, 1.343861, -2.773940]
std: [2.024563, 1.352055, 3.102745, 1.958330, 0.909656, 1.265354, 1.154129, 1.301593]
pca: [[-0.420714, -0.433700, -0.168472, 0.490801, 0.044619, -0.341534, -0.108537, -0.484994, 0.000000, 0.000000], [0.294107, -0.074893, 0.096301, 0.588564, 0.086938, -0.377121, 0.083828, 0.628812, 0.000000, 0.000000], [0.680261, -0.147537, -0.561787, 0.082973, 0.246606, 0.146520, 0.155244, -0.294287, 0.000000, 0.000000], [-0.398775, -0.407787, -0.358525, 0.020843, 0.149772, 0.538695, 0.165034, 0.453710, 0.000000, 0.000000], [-0.127258, 0.363945, -0.135464, 0.315590, -0.492173, 0.113727, 0.679938, -0.126168, 0.000000, 0.000000], [-0.255179, 0.257408, -0.097438, -0.241928, 0.667828, -0.382454, 0.456354, 0.008834, 0.000000, 0.000000], [0.108534, -0.174586, 0.681020, 0.248807, 0.352367, 0.415868, 0.274078, -0.244580, 0.000000, 0.000000], [-0.147083, 0.623733, -0.162988, 0.430530, 0.307919, 0.311967, -0.429142, -0.033195, 0.000000, 0.000000]]
fourier: [[30.578376, 33.202286, 39.056588, 42.129499, 46.675895], [21.524172, 22.578528, 23.759539, 24.356362, 86.817003], [46.143894, 50.080679, 53.815410, 59.718222, 292.719091], [27.726000, 28.258344, 30.841318, 36.365441, 41.063427], [15.311806, 15.841783, 16.058032, 17.743468, 130.150292], [19.754787, 21.811045, 22.945967, 25.503951, 154.607638], [17.341582, 20.516612, 23.003612, 24.601809, 120.947543], [20.597591, 21.625568, 22.968400, 26.727291, 249.654572]]
### 4
mean: [-0.246562, -1.488582, 2.589436, -1.034177, -2.526057, 0.213742, 0.372684, 3.816652]
std: [0.652792, 0.765780, 2.487991, 0.543804, 1.954704, 0.217826, 1.187424, 3.299546]
pca: [[0.095725, -0.326770, 0.717092, -0.422775, -0.109290, -0.190611, -0.361791, -0.109220, 0.000000, 0.000000], [-0.153012, -0.282878, 0.086364, -0.047561, -0.004771, 0.682881, -0.109516, 0.639142, 0.000000, 0.000000], [0.521055, -0.158181, 0.164989, 0.142333, 0.142646, 0.557946, 0.257701, -0.507877, 0.000000, 0.000000], [-0.110592, -0.154428, 0.050692, -0.244661, -0.642533, -0.028296, 0.698004, 0.025158, 0.000000, 0.000000], [-0.401731, -0.430044, 0.322181, 0.662718, 0.175615, -0.189206, 0.205603, -0.042033, 0.000000, 0.000000], [-0.037112, -0.138397, -0.015581, -0.468345, 0.718370, -0.147441, 0.450827, 0.137258, 0.000000, 0.000000], [-0.204762, 0.747360, 0.565467, 0.056034, 0.083609, 0.168545, 0.193001, 0.063131, 0.000000, 0.000000], [0.692100, 0.041137, 0.157271, 0.277848, -0.030811, -0.315106, 0.143967, 0.544430, 0.000000, 0.000000]]
fourier: [[9.682538, 9.892699, 10.260496, 12.438620, 22.190612], [12.097426, 12.523799, 12.781185, 14.556258, 133.972418], [40.956831, 42.613630, 43.054747, 44.412687, 233.049253], [8.791553, 8.946192, 9.205859, 10.606385, 93.075970], [31.504975, 33.134651, 33.887271, 36.657600, 227.345078], [3.344314, 3.711250, 3.876623, 3.923817, 19.236822], [16.428670, 18.640207, 21.200676, 22.282007, 33.541521], [54.541116, 57.296620, 57.691226, 58.081509, 343.498667]]
### 6
mean: [-0.555384, -2.033256, 2.225026, -1.487889, 4.652150, -2.145466, 3.821621, 0.483278]
std: [0.263601, 1.522339, 2.186669, 1.371676, 4.361399, 1.529913, 3.591872, 0.719719]
pca: [[-0.011196, -0.325975, 0.412354, -0.245955, -0.379213, -0.506615, 0.472243, -0.199026, 0.000000, 0.000000], [-0.228801, -0.301679, 0.034481, 0.382785, 0.262359, -0.223498, 0.234771, 0.731454, 0.000000, 0.000000], [0.332378, -0.093369, -0.217085, -0.436161, 0.725127, -0.139285, 0.298807, -0.094609, 0.000000, 0.000000], [-0.207867, -0.146475, 0.374170, 0.514365, 0.452949, -0.051393, -0.092581, -0.560702, 0.000000, 0.000000], [0.663095, -0.141910, 0.562365, 0.083379, 0.000890, 0.418509, 0.005967, 0.204387, 0.000000, 0.000000], [-0.228445, -0.375958, -0.257948, 0.050662, -0.104878, 0.648516, 0.525025, -0.173612, 0.000000, 0.000000], [0.546254, -0.031546, -0.472547, 0.552936, -0.205548, -0.269797, 0.165232, -0.170972, 0.000000, 0.000000], [-0.059715, 0.781076, 0.188557, 0.151385, 0.056072, 0.053251, 0.566590, 0.029658, 0.000000, 0.000000]]
fourier: [[3.481389, 4.216378, 4.523248, 6.249832, 49.984595], [24.977253, 26.179198, 26.308131, 26.556169, 182.993015], [34.904854, 37.614544, 37.663631, 39.606825, 200.252347], [23.117966, 23.273616, 23.628541, 23.939304, 133.909990], [69.389636, 74.950377, 75.548558, 79.378230, 418.693487], [24.693032, 26.300337, 26.643358, 26.677464, 193.091940], [57.528236, 62.272174, 62.339884, 64.386882, 343.945927], [10.597498, 11.076547, 12.069597, 13.976696, 43.494989]]
### 8
mean: [6.553521, 6.093158, -4.101052, -2.758884, 0.356095, 2.740910, -1.898106, -1.393637]
std: [5.913402, 5.631462, 3.441294, 2.216117, 0.743447, 2.136731, 1.630745, 2.296476]
pca: [[0.603486, -0.072738, 0.177287, 0.562733, -0.161249, 0.089749, 0.244342, -0.434344, 0.000000, 0.000000], [0.574600, -0.176308, 0.045181, -0.028974, 0.201059, -0.039686, 0.073230, 0.767142, 0.000000, 0.000000], [-0.350117, -0.392271, 0.356706, -0.050896, 0.163276, 0.177095, 0.730474, 0.045798, 0.000000, 0.000000], [-0.224681, -0.367399, -0.127248, 0.348442, -0.443099, 0.572771, -0.275731, 0.276589, 0.000000, 0.000000], [-0.063209, 0.594392, 0.645784, 0.097953, 0.127032, 0.392172, -0.152578, 0.151175, 0.000000, 0.000000], [0.217233, 0.269846, -0.499834, -0.318434, 0.136323, 0.641881, 0.291962, -0.113675, 0.000000, 0.000000], [-0.166265, -0.104159, -0.225215, 0.489135, 0.793596, 0.072441, -0.183102, -0.054432, 0.000000, 0.000000], [-0.231832, 0.487645, -0.324812, 0.456335, -0.214621, -0.244710, 0.428096, 0.324809, 0.000000, 0.000000]]
fourier: [[93.832083, 100.774466, 103.173060, 104.828168, 589.816878], [88.693346, 95.946947, 98.093096, 100.461085, 548.384150], [56.943953, 58.386098, 59.135756, 60.073966, 369.094685], [36.921480, 37.161509, 38.080192, 38.598410, 248.299585], [10.566857, 11.119922, 14.274450, 14.535439, 32.048566], [35.473757, 36.092115, 36.845512, 37.232872, 246.681850], [26.511646, 27.987280, 28.291205, 28.425803, 170.829539], [37.669227, 38.246340, 39.315317, 42.958362, 125.427290]]
### 10
mean: [-2.349250, -4.706653, 7.425084, 8.491967, -0.530108, -3.014241, -1.600031, 1.426560]
std: [1.689995, 4.014821, 6.865558, 7.284979, 0.220400, 1.805589, 0.956261, 0.597444]
pca: [[-0.149220, -0.407158, 0.216330, -0.375682, -0.094527, 0.638813, 0.262258, -0.371784, 0.000000, 0.000000], [-0.361833, -0.101955, -0.174881, -0.010198, 0.485827, 0.406034, -0.145088, 0.637223, 0.000000, 0.000000], [0.618306, -0.357555, 0.306567, 0.205258, -0.209548, 0.119586, 0.192014, 0.508584, 0.000000, 0.000000], [0.656677, 0.075430, -0.264472, -0.311003, 0.577026, 0.101420, -0.081477, -0.215719, 0.000000, 0.000000], [-0.019803, 0.009231, -0.182372, 0.749560, 0.272037, 0.193654, 0.467845, -0.272099, 0.000000, 0.000000], [-0.160590, -0.351948, -0.062035, -0.300321, 0.265775, -0.555846, 0.602053, 0.119303, 0.000000, 0.000000], [-0.084185, -0.242669, 0.694691, 0.196098, 0.463987, -0.199377, -0.344579, -0.198003, 0.000000, 0.000000], [-0.004025, 0.712356, 0.488862, -0.171517, 0.135070, 0.127470, 0.408143, 0.151838, 0.000000, 0.000000]]
fourier: [[27.872121, 29.016838, 29.220655, 29.952508, 211.432517], [64.353767, 67.788711, 69.854202, 70.548758, 423.598793], [106.095460, 116.041166, 119.409127, 123.620293, 668.257552], [115.954098, 122.756213, 127.570066, 127.927461, 764.277038], [3.515262, 3.710405, 3.863228, 3.875534, 47.709738], [30.085941, 30.324700, 30.807390, 32.014988, 271.281634], [15.410295, 16.518329, 16.723247, 17.118989, 144.002763], [8.733080, 8.906939, 9.001069, 12.012372, 128.390397]]
### 12
mean: [-8.621853]
std: [8.276917]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[128.779466, 138.629745, 145.343268, 147.693497, 775.966762]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
0.114041,
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0.433392,
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0.23129,
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0.831306
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"network.2.weight": [
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[
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[
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## Activation Signature
### 0
mean: [1.157917, -1.578978, 2.878073, 0.983134, -0.699923, -0.297762, 1.899168, 0.449419]
std: [2.024776, 0.923683, 2.164302, 2.185143, 2.130501, 2.191680, 2.106080, 1.441344]
pca: [[0.435266, 0.200890, 0.302902, 0.384388, -0.365356, 0.581454, -0.085648, 0.227538, 0.000000, 0.000000], [0.009864, -0.071904, -0.391012, -0.084920, 0.381393, 0.561040, 0.601244, 0.113620, 0.000000, 0.000000], [-0.356465, 0.160685, 0.680309, -0.321887, 0.140050, 0.014489, 0.233868, 0.454052, 0.000000, 0.000000], [0.458853, 0.375075, 0.041304, -0.435142, -0.320803, -0.229160, 0.473024, -0.280247, 0.000000, 0.000000], [0.415556, -0.457193, -0.177425, -0.150234, -0.112660, -0.295624, 0.020534, 0.680978, 0.000000, 0.000000], [0.021813, 0.747494, -0.385446, -0.046850, 0.222505, -0.095541, -0.292417, 0.381929, 0.000000, 0.000000], [0.468341, 0.025140, 0.315795, 0.347288, 0.684564, -0.265785, 0.085194, -0.114722, 0.000000, 0.000000], [-0.283420, 0.139888, -0.105164, 0.637730, -0.260188, -0.356732, 0.509447, 0.166894, 0.000000, 0.000000]]
fourier: [[32.055004, 33.988489, 34.076466, 35.224736, 104.212573], [14.429468, 15.575033, 16.680139, 18.247285, 142.108035], [34.402195, 36.206033, 40.698480, 40.940406, 259.026596], [32.069169, 34.438910, 34.659580, 43.295844, 88.482061], [34.305917, 37.681050, 39.332258, 48.694903, 62.993022], [33.194180, 35.435392, 36.593468, 37.640156, 41.572746], [32.461264, 36.099194, 36.251169, 40.000146, 170.925109], [22.652395, 23.009847, 23.338512, 25.365419, 40.447689]]
### 2
mean: [-0.518621, 0.964633, 3.252434, -0.275783, -1.446114, -1.717862, 1.343861, -2.773940]
std: [2.024563, 1.352055, 3.102745, 1.958330, 0.909656, 1.265354, 1.154129, 1.301593]
pca: [[-0.420714, -0.433700, -0.168472, 0.490801, 0.044619, -0.341534, -0.108537, -0.484994, 0.000000, 0.000000], [0.294107, -0.074893, 0.096301, 0.588564, 0.086938, -0.377121, 0.083828, 0.628812, 0.000000, 0.000000], [0.680261, -0.147537, -0.561787, 0.082973, 0.246606, 0.146520, 0.155244, -0.294287, 0.000000, 0.000000], [-0.398775, -0.407787, -0.358525, 0.020843, 0.149772, 0.538695, 0.165034, 0.453710, 0.000000, 0.000000], [-0.127258, 0.363945, -0.135464, 0.315590, -0.492173, 0.113727, 0.679938, -0.126168, 0.000000, 0.000000], [-0.255179, 0.257408, -0.097438, -0.241928, 0.667828, -0.382454, 0.456354, 0.008834, 0.000000, 0.000000], [0.108534, -0.174586, 0.681020, 0.248807, 0.352367, 0.415868, 0.274078, -0.244580, 0.000000, 0.000000], [-0.147083, 0.623733, -0.162988, 0.430530, 0.307919, 0.311967, -0.429142, -0.033195, 0.000000, 0.000000]]
fourier: [[30.578376, 33.202286, 39.056588, 42.129499, 46.675895], [21.524172, 22.578528, 23.759539, 24.356362, 86.817003], [46.143894, 50.080679, 53.815410, 59.718222, 292.719091], [27.726000, 28.258344, 30.841318, 36.365441, 41.063427], [15.311806, 15.841783, 16.058032, 17.743468, 130.150292], [19.754787, 21.811045, 22.945967, 25.503951, 154.607638], [17.341582, 20.516612, 23.003612, 24.601809, 120.947543], [20.597591, 21.625568, 22.968400, 26.727291, 249.654572]]
### 4
mean: [-0.246562, -1.488582, 2.589436, -1.034177, -2.526057, 0.213742, 0.372684, 3.816652]
std: [0.652792, 0.765780, 2.487991, 0.543804, 1.954704, 0.217826, 1.187424, 3.299546]
pca: [[0.095725, -0.326770, 0.717092, -0.422775, -0.109290, -0.190611, -0.361791, -0.109220, 0.000000, 0.000000], [-0.153012, -0.282878, 0.086364, -0.047561, -0.004771, 0.682881, -0.109516, 0.639142, 0.000000, 0.000000], [0.521055, -0.158181, 0.164989, 0.142333, 0.142646, 0.557946, 0.257701, -0.507877, 0.000000, 0.000000], [-0.110592, -0.154428, 0.050692, -0.244661, -0.642533, -0.028296, 0.698004, 0.025158, 0.000000, 0.000000], [-0.401731, -0.430044, 0.322181, 0.662718, 0.175615, -0.189206, 0.205603, -0.042033, 0.000000, 0.000000], [-0.037112, -0.138397, -0.015581, -0.468345, 0.718370, -0.147441, 0.450827, 0.137258, 0.000000, 0.000000], [-0.204762, 0.747360, 0.565467, 0.056034, 0.083609, 0.168545, 0.193001, 0.063131, 0.000000, 0.000000], [0.692100, 0.041137, 0.157271, 0.277848, -0.030811, -0.315106, 0.143967, 0.544430, 0.000000, 0.000000]]
fourier: [[9.682538, 9.892699, 10.260496, 12.438620, 22.190612], [12.097426, 12.523799, 12.781185, 14.556258, 133.972418], [40.956831, 42.613630, 43.054747, 44.412687, 233.049253], [8.791553, 8.946192, 9.205859, 10.606385, 93.075970], [31.504975, 33.134651, 33.887271, 36.657600, 227.345078], [3.344314, 3.711250, 3.876623, 3.923817, 19.236822], [16.428670, 18.640207, 21.200676, 22.282007, 33.541521], [54.541116, 57.296620, 57.691226, 58.081509, 343.498667]]
### 6
mean: [-0.555384, -2.033256, 2.225026, -1.487889, 4.652150, -2.145466, 3.821621, 0.483278]
std: [0.263601, 1.522339, 2.186669, 1.371676, 4.361399, 1.529913, 3.591872, 0.719719]
pca: [[-0.011196, -0.325975, 0.412354, -0.245955, -0.379213, -0.506615, 0.472243, -0.199026, 0.000000, 0.000000], [-0.228801, -0.301679, 0.034481, 0.382785, 0.262359, -0.223498, 0.234771, 0.731454, 0.000000, 0.000000], [0.332378, -0.093369, -0.217085, -0.436161, 0.725127, -0.139285, 0.298807, -0.094609, 0.000000, 0.000000], [-0.207867, -0.146475, 0.374170, 0.514365, 0.452949, -0.051393, -0.092581, -0.560702, 0.000000, 0.000000], [0.663095, -0.141910, 0.562365, 0.083379, 0.000890, 0.418509, 0.005967, 0.204387, 0.000000, 0.000000], [-0.228445, -0.375958, -0.257948, 0.050662, -0.104878, 0.648516, 0.525025, -0.173612, 0.000000, 0.000000], [0.546254, -0.031546, -0.472547, 0.552936, -0.205548, -0.269797, 0.165232, -0.170972, 0.000000, 0.000000], [-0.059715, 0.781076, 0.188557, 0.151385, 0.056072, 0.053251, 0.566590, 0.029658, 0.000000, 0.000000]]
fourier: [[3.481389, 4.216378, 4.523248, 6.249832, 49.984595], [24.977253, 26.179198, 26.308131, 26.556169, 182.993015], [34.904854, 37.614544, 37.663631, 39.606825, 200.252347], [23.117966, 23.273616, 23.628541, 23.939304, 133.909990], [69.389636, 74.950377, 75.548558, 79.378230, 418.693487], [24.693032, 26.300337, 26.643358, 26.677464, 193.091940], [57.528236, 62.272174, 62.339884, 64.386882, 343.945927], [10.597498, 11.076547, 12.069597, 13.976696, 43.494989]]
### 8
mean: [6.553521, 6.093158, -4.101052, -2.758884, 0.356095, 2.740910, -1.898106, -1.393637]
std: [5.913402, 5.631462, 3.441294, 2.216117, 0.743447, 2.136731, 1.630745, 2.296476]
pca: [[0.603486, -0.072738, 0.177287, 0.562733, -0.161249, 0.089749, 0.244342, -0.434344, 0.000000, 0.000000], [0.574600, -0.176308, 0.045181, -0.028974, 0.201059, -0.039686, 0.073230, 0.767142, 0.000000, 0.000000], [-0.350117, -0.392271, 0.356706, -0.050896, 0.163276, 0.177095, 0.730474, 0.045798, 0.000000, 0.000000], [-0.224681, -0.367399, -0.127248, 0.348442, -0.443099, 0.572771, -0.275731, 0.276589, 0.000000, 0.000000], [-0.063209, 0.594392, 0.645784, 0.097953, 0.127032, 0.392172, -0.152578, 0.151175, 0.000000, 0.000000], [0.217233, 0.269846, -0.499834, -0.318434, 0.136323, 0.641881, 0.291962, -0.113675, 0.000000, 0.000000], [-0.166265, -0.104159, -0.225215, 0.489135, 0.793596, 0.072441, -0.183102, -0.054432, 0.000000, 0.000000], [-0.231832, 0.487645, -0.324812, 0.456335, -0.214621, -0.244710, 0.428096, 0.324809, 0.000000, 0.000000]]
fourier: [[93.832083, 100.774466, 103.173060, 104.828168, 589.816878], [88.693346, 95.946947, 98.093096, 100.461085, 548.384150], [56.943953, 58.386098, 59.135756, 60.073966, 369.094685], [36.921480, 37.161509, 38.080192, 38.598410, 248.299585], [10.566857, 11.119922, 14.274450, 14.535439, 32.048566], [35.473757, 36.092115, 36.845512, 37.232872, 246.681850], [26.511646, 27.987280, 28.291205, 28.425803, 170.829539], [37.669227, 38.246340, 39.315317, 42.958362, 125.427290]]
### 10
mean: [-2.349250, -4.706653, 7.425084, 8.491967, -0.530108, -3.014241, -1.600031, 1.426560]
std: [1.689995, 4.014821, 6.865558, 7.284979, 0.220400, 1.805589, 0.956261, 0.597444]
pca: [[-0.149220, -0.407158, 0.216330, -0.375682, -0.094527, 0.638813, 0.262258, -0.371784, 0.000000, 0.000000], [-0.361833, -0.101955, -0.174881, -0.010198, 0.485827, 0.406034, -0.145088, 0.637223, 0.000000, 0.000000], [0.618306, -0.357555, 0.306567, 0.205258, -0.209548, 0.119586, 0.192014, 0.508584, 0.000000, 0.000000], [0.656677, 0.075430, -0.264472, -0.311003, 0.577026, 0.101420, -0.081477, -0.215719, 0.000000, 0.000000], [-0.019803, 0.009231, -0.182372, 0.749560, 0.272037, 0.193654, 0.467845, -0.272099, 0.000000, 0.000000], [-0.160590, -0.351948, -0.062035, -0.300321, 0.265775, -0.555846, 0.602053, 0.119303, 0.000000, 0.000000], [-0.084185, -0.242669, 0.694691, 0.196098, 0.463987, -0.199377, -0.344579, -0.198003, 0.000000, 0.000000], [-0.004025, 0.712356, 0.488862, -0.171517, 0.135070, 0.127470, 0.408143, 0.151838, 0.000000, 0.000000]]
fourier: [[27.872121, 29.016838, 29.220655, 29.952508, 211.432517], [64.353767, 67.788711, 69.854202, 70.548758, 423.598793], [106.095460, 116.041166, 119.409127, 123.620293, 668.257552], [115.954098, 122.756213, 127.570066, 127.927461, 764.277038], [3.515262, 3.710405, 3.863228, 3.875534, 47.709738], [30.085941, 30.324700, 30.807390, 32.014988, 271.281634], [15.410295, 16.518329, 16.723247, 17.118989, 144.002763], [8.733080, 8.906939, 9.001069, 12.012372, 128.390397]]
### 12
mean: [-8.621853]
std: [8.276917]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[128.779466, 138.629745, 145.343268, 147.693497, 775.966762]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.860947, 0.351353, -0.141291, 0.055233, -0.398165], [-0.070155, -0.296438, -0.05982, -0.066008, -0.290094], [-0.454333, 0.220285, 0.58364, 0.159019, 0.850134], [0.680617, 0.332794, 0.233296, -0.355045, -0.646545], [0.119794, 0.445269, -0.450538, 0.082511, -0.914175], [0.572892, -0.676392, 0.438585, -0.490482, -0.017477], [0.789902, 0.209734, -0.046459, 0.388939, -0.701597], [-0.003939, -0.442466, -0.160027, -0.00605, 0.629625]], "network.0.bias": [0.114041, -0.327208, 0.433392, 0.60117, 0.23129, 0.379055, 0.662288, 0.831306], "network.2.weight": [[-0.273843, 0.206342, 0.565944, -0.329783, 0.151826, -0.652447, -0.262583, -0.962699], [0.327611, -0.343743, -0.005355, 0.351471, 0.483831, 0.457034, -0.191963, -0.153077], [0.432071, 0.194248, -0.275155, 0.475554, 0.676739, 0.499051, 0.622347, 0.232121], [-0.451387, -0.137564, 0.46268, -0.513095, 0.099419, -0.659501, 0.22949, -0.632396], [-0.370964, 0.204227, -0.270108, -0.041869, -0.497916, -0.053265, 0.060807, -0.13065], [-0.051792, -0.31412, -0.165901, -0.228728, 0.074328, -0.497831, -0.320414, 0.187246], [0.204801, -0.06376, 0.255207, 0.102277, 0.592563, 0.652628, -0.290157, 0.145747], [0.093998, 0.193527, -0.504726, -0.407954, -0.147427, 0.013082, -0.359116, -0.063094]], "network.2.bias": [0.332667, 0.041637, 0.703421, 0.12017, 0.143103, -0.038733, -0.047555, -0.027598], "network.4.weight": [[-0.267352, 0.3534, 0.059178, 0.09845, 0.06319, -0.219319, -0.454257, 0.195086], [-0.199731, 0.015115, -0.232097, 0.025164, -0.091817, -0.130878, -0.244923, -0.148356], [-0.116877, 0.20997, 0.649894, -0.447548, 0.415863, -0.012035, 0.164753, -0.145427], [-0.123987, 0.16282, -0.215088, 0.073534, -0.464654, -0.36978, -0.213905, 0.013833], [-0.03572, -0.388909, -0.424779, -0.041832, 0.198253, 0.249461, -0.432916, 0.395387], [-0.309327, 0.137433, -0.114016, 0.169136, -0.036042, -0.062753, -0.096206, -0.033701], [0.697027, -0.259574, -0.066144, 0.585968, 0.29717, -0.053393, -0.01374, -0.198448], [0.072034, 0.206525, 0.904299, -0.544645, 0.250342, -0.079594, 0.352543, -0.145627]], "network.4.bias": [-0.137108, -0.335031, 0.336651, -0.198463, -0.096288, 0.61438, 0.204698, 0.450123], "network.6.weight": [[-0.198919, 0.189116, 0.008341, 0.249198, 0.269863, 0.283044, -0.286131, -0.048912], [-0.020965, 0.234255, -0.353259, 0.144067, -0.061274, 0.169769, -0.184536, -0.216735], [0.102447, 0.182032, 0.44386, 0.28773, -0.060912, 0.280185, -0.236878, 0.295908], [-0.119255, -0.054415, -0.414356, -0.076052, 0.2051, 0.079364, -0.042483, -0.101027], [-0.015562, 0.013914, 0.616746, -0.119756, -0.238261, 0.283601, -0.464185, 0.801346], [0.036908, 0.114666, -0.217049, -0.120711, -0.167224, 0.208699, -0.251878, -0.332019], [0.411857, -0.20671, 0.535332, -0.144187, -0.176136, -0.010716, -0.351591, 0.600978], [-0.053692, -0.006697, -0.122615, 0.126757, -0.121143, -0.634955, 0.773807, 0.081084]], "network.6.bias": [-0.242391, -0.197396, 0.005743, 0.008814, 0.215781, -0.19959, 0.299497, 0.147752], "network.8.weight": [[-0.3095, 0.081498, 0.547764, -0.130014, 0.657704, 0.131854, 0.505737, -0.325633], [-0.005033, 0.340257, 0.363318, -0.079712, 0.592004, 0.237585, 0.603316, -0.440615], [0.316094, -0.306398, -0.224722, -0.279667, -0.288778, 0.286093, -0.518132, -0.311919], [-0.039796, -0.27664, 0.050163, -0.303247, -0.351489, 0.299391, -0.264714, -0.34363], [0.092366, 0.040987, -0.158383, 0.038553, 0.249187, -0.186754, -0.296874, 0.741449], [0.018402, 0.213391, 0.047764, 0.05375, 0.100817, -0.180717, 0.474051, 0.217505], [-0.234709, 0.29266, 0.109137, -0.296952, -0.292137, -0.177662, -0.178396, -0.058777], [0.252374, -0.224632, -0.026655, -0.011084, -0.305458, -0.30378, -0.180213, 0.663135]], "network.8.bias": [0.423881, 0.373253, -0.073748, -0.021799, 0.312893, 0.218673, -0.051261, 0.467132], "network.10.weight": [[-0.281703, 0.024059, -0.477592, -0.137697, -0.15889, -0.157439, -0.27785, -0.452857], [-0.248968, -0.390575, -0.165228, 0.015572, 0.016894, -0.183374, 0.221166, -0.071517], [0.248804, 0.735019, -0.011866, -0.047269, -0.524075, 0.463527, 0.32566, -0.353601], [0.707185, 0.5753, 0.194669, 0.171798, -0.089542, -0.035558, -0.142988, 0.124505], [0.170037, -0.282807, 0.050458, 0.341707, -0.146471, 0.153988, -0.151922, 0.100865], [-0.003343, -0.204733, -0.059448, 0.253666, -0.107913, -0.361593, 0.289029, -0.338299], [-0.172213, -0.069052, -0.320333, 0.258069, -0.098832, 0.149351, -0.253339, -0.34549], [-0.248574, 0.206836, 0.175913, -0.007366, 0.574999, 0.311737, 0.122017, 0.547294]], "network.10.bias": [-0.005015, -0.15164, 0.34996, 0.405372, -0.29183, -0.592764, -0.304338, 0.503695], "network.12.weight": [[-0.027531, -0.11052, -0.64687, -0.534812, 0.09697, 0.012409, 0.252938, 0.440276]], "network.12.bias": [0.165906]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881683468818665, "train_acc": 0.585, "val_loss": 0.736259937286377, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6751755774021149, "train_acc": 0.585, "val_loss": 0.7257182598114014, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6697356402873993, "train_acc": 0.585, "val_loss": 0.7177667021751404, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6564396321773529, "train_acc": 0.585, "val_loss": 0.7055690288543701, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6058847606182098, "train_acc": 0.585, "val_loss": 0.6832020282745361, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5839999318122864, "train_acc": 0.515, "val_loss": 0.6206601858139038, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5185508280992508, "train_acc": 0.6, "val_loss": 0.5753678679466248, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47158654034137726, "train_acc": 0.79, "val_loss": 0.628562867641449, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.46670983731746674, "train_acc": 0.76, "val_loss": 0.5105356574058533, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4828006327152252, "train_acc": 0.755, "val_loss": 0.5105264186859131, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.41450899839401245, "train_acc": 0.785, "val_loss": 0.4747249484062195, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.439001202583313, "train_acc": 0.79, "val_loss": 0.4544232487678528, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3953402638435364, "train_acc": 0.825, "val_loss": 0.4400656819343567, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3829839676618576, "train_acc": 0.845, "val_loss": 0.39877310395240784, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.32779958844184875, "train_acc": 0.835, "val_loss": 0.404578298330307, "val_acc": 0.82}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.736259937286377, "final_val_loss": 0.6832020282745361, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6206601858139038, "final_val_loss": 0.404578298330307, "initial_val_acc": 0.44, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 14}, "improvement": 0.37999999999999995, "first_improvement_epoch": 4}}
|
14
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.92, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1822, "learning_rate": 0.04873785800456769, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.427338, 2.033898, 1.989721, 0.517967, 1.450887, -1.614166, 2.280936, -0.488596]
std: [1.114636, 2.361383, 1.979777, 0.762809, 1.545468, 1.655235, 2.444510, 1.195713]
pca: [[0.080793, 0.536824, -0.259176, 0.104524, 0.037629, 0.261167, 0.745631, 0.040075, 0.000000, 0.000000], [0.545819, -0.142328, -0.082448, -0.293123, 0.020319, 0.670720, -0.162164, -0.335455, 0.000000, 0.000000], [0.432243, 0.313509, 0.318333, -0.024921, -0.269606, 0.054787, -0.201860, 0.704617, 0.000000, 0.000000], [-0.049182, 0.031973, 0.468005, 0.744389, 0.291283, 0.344390, -0.088784, -0.109924, 0.000000, 0.000000], [0.316780, 0.352461, 0.017618, 0.260417, -0.502021, -0.361495, -0.136786, -0.553064, 0.000000, 0.000000], [-0.284249, 0.440626, 0.599137, -0.525441, 0.144946, 0.031950, -0.009022, -0.260550, 0.000000, 0.000000], [0.563671, -0.073390, 0.132807, -0.051879, 0.626342, -0.478033, 0.183475, -0.045574, 0.000000, 0.000000], [-0.086195, 0.518157, -0.478281, 0.042671, 0.418687, 0.010279, -0.562719, 0.038111, 0.000000, 0.000000]]
fourier: [[15.900973, 18.187555, 21.905861, 28.025916, 38.460427], [36.758007, 37.521676, 40.914325, 44.764116, 183.050819], [30.981110, 33.211267, 34.283197, 36.981623, 179.074902], [11.454411, 12.735802, 13.740685, 16.544151, 46.617024], [22.814105, 25.807716, 28.053823, 29.640397, 130.579849], [26.555502, 27.546585, 28.120984, 32.140924, 145.274946], [38.849760, 42.759166, 43.716072, 44.893056, 205.284265], [22.106123, 22.163296, 23.670669, 24.279187, 43.973600]]
### 2
mean: [4.408559, -1.367868, 2.958422, 1.076176, -0.933836, 3.318886, -0.959336, -1.324953]
std: [3.942457, 1.889602, 2.279704, 0.962831, 0.617632, 2.787010, 0.770689, 0.842112]
pca: [[0.674691, 0.415642, 0.029281, 0.245389, 0.433703, 0.078452, -0.340787, 0.023920, 0.000000, 0.000000], [-0.320015, -0.175067, -0.044103, 0.747922, 0.458967, -0.211717, 0.223707, 0.009503, 0.000000, 0.000000], [0.387968, -0.324099, 0.427821, 0.219952, -0.397257, -0.580176, -0.078988, -0.111237, 0.000000, 0.000000], [0.159434, -0.357235, 0.094032, -0.299227, 0.334592, -0.132705, 0.122384, 0.777203, 0.000000, 0.000000], [-0.092223, -0.079897, 0.655724, 0.272434, -0.152798, 0.645507, -0.059819, 0.193167, 0.000000, 0.000000], [0.477278, -0.254998, -0.105056, -0.010535, 0.040259, 0.309109, 0.719730, -0.284347, 0.000000, 0.000000], [-0.122315, -0.311330, 0.378403, -0.375010, 0.545688, -0.018194, -0.205182, -0.513892, 0.000000, 0.000000], [-0.123221, 0.628969, 0.470240, -0.165885, 0.093501, -0.286790, 0.498912, 0.025835, 0.000000, 0.000000]]
fourier: [[63.642686, 63.957553, 68.802851, 73.311918, 396.770266], [29.876163, 31.443264, 31.624534, 33.705578, 123.108112], [36.192974, 40.226918, 40.961411, 41.735438, 266.258019], [14.368392, 15.928396, 18.450615, 18.703302, 96.855852], [9.383617, 10.782387, 10.931442, 11.443778, 84.045212], [44.947719, 45.374697, 50.925227, 51.533836, 298.699735], [13.170368, 13.237613, 14.507778, 15.238946, 86.340240], [12.388652, 14.401137, 15.180923, 16.622405, 119.245774]]
### 4
mean: [3.836990, 2.838697, 2.120961, 4.510706, -1.788127, -2.129372, 4.335026, 1.443779]
std: [3.300632, 2.370152, 1.651151, 3.944782, 1.165629, 1.484218, 3.847205, 1.236414]
pca: [[0.446481, -0.262181, -0.145291, 0.578095, 0.130000, 0.476274, -0.204067, 0.302047, 0.000000, 0.000000], [0.320662, 0.063781, -0.105941, 0.109837, 0.757869, -0.324632, 0.105084, -0.423117, 0.000000, 0.000000], [0.222961, 0.042936, 0.837101, 0.266968, -0.151214, -0.265965, -0.270325, -0.098776, 0.000000, 0.000000], [0.533706, 0.121992, -0.081001, -0.183560, -0.123276, -0.441899, 0.314899, 0.591935, 0.000000, 0.000000], [-0.157161, -0.390341, 0.365611, -0.459006, 0.525644, 0.152328, -0.106330, 0.409591, 0.000000, 0.000000], [-0.200028, 0.594363, 0.286606, 0.234195, 0.231088, 0.342789, 0.507193, 0.203915, 0.000000, 0.000000], [0.520420, 0.327291, 0.071366, -0.531810, -0.080279, 0.482719, -0.156146, -0.265113, 0.000000, 0.000000], [0.166522, -0.545633, 0.198647, -0.020492, -0.185807, 0.167452, 0.694367, -0.299941, 0.000000, 0.000000]]
fourier: [[52.478125, 53.067154, 58.891905, 60.860540, 345.329087], [37.974057, 38.306731, 42.585309, 43.456971, 255.482712], [26.030408, 27.281392, 29.404703, 30.248524, 190.886494], [63.284934, 63.336990, 70.865126, 72.511347, 405.963597], [18.720707, 20.041863, 21.252467, 21.482584, 160.931415], [24.041782, 24.087261, 25.842198, 27.655677, 191.643508], [61.570223, 62.013629, 69.308122, 70.562530, 390.152411], [19.860761, 20.847425, 21.389562, 22.985184, 129.940122]]
### 6
mean: [8.426199, 8.305597, -1.176247, -0.784826, -1.587840, -3.452351, 5.888808, -3.731002]
std: [7.226933, 6.846961, 0.935435, 0.441316, 1.204326, 2.914674, 5.220572, 3.181374]
pca: [[0.595069, 0.362537, 0.382109, -0.170051, 0.425735, -0.245577, 0.054184, -0.308287, 0.000000, 0.000000], [0.563783, 0.319689, -0.311309, 0.549140, -0.368262, 0.099800, -0.074299, 0.174308, 0.000000, 0.000000], [-0.076964, 0.379996, 0.238108, -0.194797, -0.180647, 0.799496, 0.251515, -0.141250, 0.000000, 0.000000], [-0.036310, 0.023170, -0.393659, 0.099557, 0.218816, -0.107625, 0.878592, -0.043348, 0.000000, 0.000000], [-0.099119, -0.288154, 0.533010, 0.730073, 0.223541, 0.148787, 0.119129, -0.061131, 0.000000, 0.000000], [-0.239971, 0.433389, 0.418544, -0.009843, -0.217483, -0.364679, 0.206251, 0.597061, 0.000000, 0.000000], [0.429858, -0.423571, 0.071875, -0.251077, 0.221520, 0.292790, 0.102349, 0.649871, 0.000000, 0.000000], [-0.261938, 0.413716, -0.284556, 0.159776, 0.675484, 0.195192, -0.298586, 0.264943, 0.000000, 0.000000]]
fourier: [[114.913914, 115.957926, 129.760944, 132.822844, 758.357907], [108.796802, 109.726250, 123.085400, 125.762535, 747.503819], [14.947289, 15.350112, 17.074117, 17.081335, 105.862211], [7.148119, 7.161980, 7.874519, 8.145666, 70.634340], [19.253133, 19.483411, 21.598661, 22.131056, 142.905630], [46.664056, 46.918588, 52.728680, 53.396607, 310.711587], [83.741252, 83.788723, 94.105847, 95.805292, 529.992807], [51.077632, 51.322635, 57.412563, 58.375784, 335.790166]]
### 8
mean: [-8.643439]
std: [7.722265]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[123.302056, 123.961242, 139.000173, 141.842148, 777.909535]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.0.bias": [
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"network.2.weight": [
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.427338, 2.033898, 1.989721, 0.517967, 1.450887, -1.614166, 2.280936, -0.488596]
std: [1.114636, 2.361383, 1.979777, 0.762809, 1.545468, 1.655235, 2.444510, 1.195713]
pca: [[0.080793, 0.536824, -0.259176, 0.104524, 0.037629, 0.261167, 0.745631, 0.040075, 0.000000, 0.000000], [0.545819, -0.142328, -0.082448, -0.293123, 0.020319, 0.670720, -0.162164, -0.335455, 0.000000, 0.000000], [0.432243, 0.313509, 0.318333, -0.024921, -0.269606, 0.054787, -0.201860, 0.704617, 0.000000, 0.000000], [-0.049182, 0.031973, 0.468005, 0.744389, 0.291283, 0.344390, -0.088784, -0.109924, 0.000000, 0.000000], [0.316780, 0.352461, 0.017618, 0.260417, -0.502021, -0.361495, -0.136786, -0.553064, 0.000000, 0.000000], [-0.284249, 0.440626, 0.599137, -0.525441, 0.144946, 0.031950, -0.009022, -0.260550, 0.000000, 0.000000], [0.563671, -0.073390, 0.132807, -0.051879, 0.626342, -0.478033, 0.183475, -0.045574, 0.000000, 0.000000], [-0.086195, 0.518157, -0.478281, 0.042671, 0.418687, 0.010279, -0.562719, 0.038111, 0.000000, 0.000000]]
fourier: [[15.900973, 18.187555, 21.905861, 28.025916, 38.460427], [36.758007, 37.521676, 40.914325, 44.764116, 183.050819], [30.981110, 33.211267, 34.283197, 36.981623, 179.074902], [11.454411, 12.735802, 13.740685, 16.544151, 46.617024], [22.814105, 25.807716, 28.053823, 29.640397, 130.579849], [26.555502, 27.546585, 28.120984, 32.140924, 145.274946], [38.849760, 42.759166, 43.716072, 44.893056, 205.284265], [22.106123, 22.163296, 23.670669, 24.279187, 43.973600]]
### 2
mean: [4.408559, -1.367868, 2.958422, 1.076176, -0.933836, 3.318886, -0.959336, -1.324953]
std: [3.942457, 1.889602, 2.279704, 0.962831, 0.617632, 2.787010, 0.770689, 0.842112]
pca: [[0.674691, 0.415642, 0.029281, 0.245389, 0.433703, 0.078452, -0.340787, 0.023920, 0.000000, 0.000000], [-0.320015, -0.175067, -0.044103, 0.747922, 0.458967, -0.211717, 0.223707, 0.009503, 0.000000, 0.000000], [0.387968, -0.324099, 0.427821, 0.219952, -0.397257, -0.580176, -0.078988, -0.111237, 0.000000, 0.000000], [0.159434, -0.357235, 0.094032, -0.299227, 0.334592, -0.132705, 0.122384, 0.777203, 0.000000, 0.000000], [-0.092223, -0.079897, 0.655724, 0.272434, -0.152798, 0.645507, -0.059819, 0.193167, 0.000000, 0.000000], [0.477278, -0.254998, -0.105056, -0.010535, 0.040259, 0.309109, 0.719730, -0.284347, 0.000000, 0.000000], [-0.122315, -0.311330, 0.378403, -0.375010, 0.545688, -0.018194, -0.205182, -0.513892, 0.000000, 0.000000], [-0.123221, 0.628969, 0.470240, -0.165885, 0.093501, -0.286790, 0.498912, 0.025835, 0.000000, 0.000000]]
fourier: [[63.642686, 63.957553, 68.802851, 73.311918, 396.770266], [29.876163, 31.443264, 31.624534, 33.705578, 123.108112], [36.192974, 40.226918, 40.961411, 41.735438, 266.258019], [14.368392, 15.928396, 18.450615, 18.703302, 96.855852], [9.383617, 10.782387, 10.931442, 11.443778, 84.045212], [44.947719, 45.374697, 50.925227, 51.533836, 298.699735], [13.170368, 13.237613, 14.507778, 15.238946, 86.340240], [12.388652, 14.401137, 15.180923, 16.622405, 119.245774]]
### 4
mean: [3.836990, 2.838697, 2.120961, 4.510706, -1.788127, -2.129372, 4.335026, 1.443779]
std: [3.300632, 2.370152, 1.651151, 3.944782, 1.165629, 1.484218, 3.847205, 1.236414]
pca: [[0.446481, -0.262181, -0.145291, 0.578095, 0.130000, 0.476274, -0.204067, 0.302047, 0.000000, 0.000000], [0.320662, 0.063781, -0.105941, 0.109837, 0.757869, -0.324632, 0.105084, -0.423117, 0.000000, 0.000000], [0.222961, 0.042936, 0.837101, 0.266968, -0.151214, -0.265965, -0.270325, -0.098776, 0.000000, 0.000000], [0.533706, 0.121992, -0.081001, -0.183560, -0.123276, -0.441899, 0.314899, 0.591935, 0.000000, 0.000000], [-0.157161, -0.390341, 0.365611, -0.459006, 0.525644, 0.152328, -0.106330, 0.409591, 0.000000, 0.000000], [-0.200028, 0.594363, 0.286606, 0.234195, 0.231088, 0.342789, 0.507193, 0.203915, 0.000000, 0.000000], [0.520420, 0.327291, 0.071366, -0.531810, -0.080279, 0.482719, -0.156146, -0.265113, 0.000000, 0.000000], [0.166522, -0.545633, 0.198647, -0.020492, -0.185807, 0.167452, 0.694367, -0.299941, 0.000000, 0.000000]]
fourier: [[52.478125, 53.067154, 58.891905, 60.860540, 345.329087], [37.974057, 38.306731, 42.585309, 43.456971, 255.482712], [26.030408, 27.281392, 29.404703, 30.248524, 190.886494], [63.284934, 63.336990, 70.865126, 72.511347, 405.963597], [18.720707, 20.041863, 21.252467, 21.482584, 160.931415], [24.041782, 24.087261, 25.842198, 27.655677, 191.643508], [61.570223, 62.013629, 69.308122, 70.562530, 390.152411], [19.860761, 20.847425, 21.389562, 22.985184, 129.940122]]
### 6
mean: [8.426199, 8.305597, -1.176247, -0.784826, -1.587840, -3.452351, 5.888808, -3.731002]
std: [7.226933, 6.846961, 0.935435, 0.441316, 1.204326, 2.914674, 5.220572, 3.181374]
pca: [[0.595069, 0.362537, 0.382109, -0.170051, 0.425735, -0.245577, 0.054184, -0.308287, 0.000000, 0.000000], [0.563783, 0.319689, -0.311309, 0.549140, -0.368262, 0.099800, -0.074299, 0.174308, 0.000000, 0.000000], [-0.076964, 0.379996, 0.238108, -0.194797, -0.180647, 0.799496, 0.251515, -0.141250, 0.000000, 0.000000], [-0.036310, 0.023170, -0.393659, 0.099557, 0.218816, -0.107625, 0.878592, -0.043348, 0.000000, 0.000000], [-0.099119, -0.288154, 0.533010, 0.730073, 0.223541, 0.148787, 0.119129, -0.061131, 0.000000, 0.000000], [-0.239971, 0.433389, 0.418544, -0.009843, -0.217483, -0.364679, 0.206251, 0.597061, 0.000000, 0.000000], [0.429858, -0.423571, 0.071875, -0.251077, 0.221520, 0.292790, 0.102349, 0.649871, 0.000000, 0.000000], [-0.261938, 0.413716, -0.284556, 0.159776, 0.675484, 0.195192, -0.298586, 0.264943, 0.000000, 0.000000]]
fourier: [[114.913914, 115.957926, 129.760944, 132.822844, 758.357907], [108.796802, 109.726250, 123.085400, 125.762535, 747.503819], [14.947289, 15.350112, 17.074117, 17.081335, 105.862211], [7.148119, 7.161980, 7.874519, 8.145666, 70.634340], [19.253133, 19.483411, 21.598661, 22.131056, 142.905630], [46.664056, 46.918588, 52.728680, 53.396607, 310.711587], [83.741252, 83.788723, 94.105847, 95.805292, 529.992807], [51.077632, 51.322635, 57.412563, 58.375784, 335.790166]]
### 8
mean: [-8.643439]
std: [7.722265]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[123.302056, 123.961242, 139.000173, 141.842148, 777.909535]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.115463, 0.287483, -0.325066, 0.194319, -0.314336], [0.7861, 0.542822, 0.29277, -0.157636, -0.245119], [0.777305, 0.225672, 0.105386, 0.251865, -0.545866], [-0.090353, -0.229129, 0.202248, 0.329155, -0.038548], [0.60164, 0.256534, -0.113572, 0.253767, -0.338528], [-0.291729, -0.544491, -0.125875, 0.253131, -0.433429], [0.710234, 0.5557, 0.459728, -0.022114, -0.382819], [-0.248121, 0.307252, -0.405295, 0.087673, -0.179556]], "network.0.bias": [0.409796, 0.095289, 0.524167, -0.032857, 0.345286, -0.004266, -0.056273, 0.140355], "network.2.weight": [[0.666855, 0.640797, 0.426445, -0.085714, 0.260639, 0.071954, 0.511927, 0.083087], [0.061971, 0.036715, -0.334752, 0.517216, -0.487298, -0.487417, -0.294, 0.203007], [0.538459, 0.158438, 0.363477, -0.165353, 0.217035, 0.215647, 0.318011, 0.440556], [0.323951, 0.035257, 0.002212, -0.038236, 0.452442, -0.059193, 0.039488, -0.18406], [0.373517, -0.124036, -0.38512, -0.238768, -0.068623, 0.315169, 0.157137, -0.003593], [0.513285, 0.354788, 0.314939, 0.079823, 0.490461, 0.273867, 0.253671, 0.086918], [0.307768, -0.175843, -0.354227, -0.168732, 0.270973, -0.174213, -0.089531, -0.460465], [-0.106157, 0.10505, -0.097524, -0.414985, -0.374969, -0.020542, -0.104906, -0.156948]], "network.2.bias": [0.117854, 0.313025, 0.395397, 0.056686, -0.271082, 0.125179, -0.051622, -0.165802], "network.4.weight": [[0.461049, -0.072732, 0.595885, -0.152342, -0.088803, 0.097761, 0.162883, 0.00394], [0.314459, -0.075386, 0.332605, 0.130329, 0.447933, 0.090735, -0.306572, 0.212836], [0.145333, -0.54134, 0.122969, -0.10268, -0.137505, 0.303728, 0.126465, -0.095525], [0.480572, -0.163448, 0.451143, 0.124459, -0.015016, 0.32473, -0.190292, -0.077219], [0.002995, -0.125959, -0.235026, -0.069661, 0.110882, -0.211164, -0.189872, 0.107078], [-0.366238, -0.117776, -0.269494, 0.196529, 0.159777, 0.13625, -0.032812, 0.298991], [0.435751, -0.256063, 0.31312, 0.269813, 0.419755, 0.413796, -0.040534, 0.000237], [0.292474, -0.137409, 0.199172, -0.25454, -0.046237, -0.052617, 0.161747, 0.426054]], "network.4.bias": [-0.113584, 0.032639, 0.261991, -0.141788, -0.320159, -0.371507, -0.15619, 0.024465], "network.6.weight": [[0.532838, 0.608594, 0.262747, 0.354452, -0.040008, 0.324926, 0.390601, 0.575911], [0.596821, 0.276208, 0.652381, 0.431799, 0.156626, -0.22604, 0.268286, 0.350403], [-0.122725, 0.14566, -0.086069, -0.09444, -0.319536, -0.140988, -0.174259, 0.249296], [0.030645, -0.100644, 0.193749, -0.280482, 0.046072, 0.072419, 0.135753, -0.029846], [-0.005515, 0.111304, -0.361846, 0.199321, 0.114407, -0.122948, -0.316887, -0.34876], [-0.154362, -0.051687, -0.237918, -0.120052, -0.114186, -0.056962, -0.406485, 0.11199], [0.145119, 0.371393, 0.080161, 0.593185, 0.180179, 0.091096, 0.336685, 0.085408], [-0.275883, -0.162092, 0.121314, -0.134282, -0.353852, 0.141409, -0.426757, 0.064245]], "network.6.bias": [-0.040536, 0.215457, -0.112411, -0.309403, -0.129626, -0.059367, -0.159965, -0.101845], "network.8.weight": [[-0.452991, -0.191081, -0.218758, -0.026695, 0.077774, 0.008249, -0.602386, -0.062911]], "network.8.bias": [0.311768]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910922229290009, "train_acc": 0.515, "val_loss": 0.6403840780258179, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5626020133495331, "train_acc": 0.595, "val_loss": 0.5719516277313232, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.49698516726493835, "train_acc": 0.66, "val_loss": 0.5013895630836487, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41881324350833893, "train_acc": 0.86, "val_loss": 0.4354802668094635, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.40295763313770294, "train_acc": 0.855, "val_loss": 0.41122835874557495, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.38388705253601074, "train_acc": 0.865, "val_loss": 0.39215975999832153, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3431328982114792, "train_acc": 0.885, "val_loss": 0.3769111633300781, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.31910572946071625, "train_acc": 0.905, "val_loss": 0.3677259385585785, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.31809666752815247, "train_acc": 0.9, "val_loss": 0.3405872583389282, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.315258264541626, "train_acc": 0.875, "val_loss": 0.3437062203884125, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3010886162519455, "train_acc": 0.9, "val_loss": 0.367908239364624, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3166741728782654, "train_acc": 0.88, "val_loss": 0.3252301812171936, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6403840780258179, "final_val_loss": 0.5719516277313232, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5013895630836487, "final_val_loss": 0.3252301812171936, "initial_val_acc": 0.9, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 3}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
15
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4349, "learning_rate": 0.03446770243187198, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.384444, 2.334519, 2.473228, -1.154995, -0.543987, -0.770803, 0.405688]
std: [1.717478, 1.788406, 1.829154, 1.373519, 1.369924, 1.518843, 0.685958]
pca: [[-0.533140, -0.260249, -0.172140, 0.285804, 0.330099, 0.083309, 0.648699, 0.000000, 0.000000, 0.000000], [0.545266, -0.066456, 0.202806, 0.652077, -0.315180, 0.157956, 0.328094, 0.000000, 0.000000, 0.000000], [0.445257, 0.564156, -0.307792, -0.209697, 0.393847, -0.121557, 0.418179, 0.000000, 0.000000, 0.000000], [-0.252529, 0.497197, -0.352340, 0.206155, -0.192840, 0.672721, -0.180665, 0.000000, 0.000000, 0.000000], [-0.293796, 0.440474, -0.018461, 0.495070, -0.086643, -0.664573, -0.158326, 0.000000, 0.000000, 0.000000], [-0.248028, 0.409234, 0.770975, -0.230560, -0.112043, 0.129201, 0.306925, 0.000000, 0.000000, 0.000000], [0.092677, 0.029780, 0.340022, 0.329222, 0.761139, 0.205984, -0.380474, 0.000000, 0.000000, 0.000000]]
fourier: [[27.139252, 28.801678, 30.460208, 34.049910, 214.600019], [26.574159, 28.670376, 32.166993, 33.782881, 210.106695], [29.601717, 30.394324, 34.573295, 36.218293, 222.590442], [21.850344, 22.459400, 22.525313, 23.668350, 103.949522], [19.395828, 19.836917, 24.238486, 24.615554, 48.958792], [23.180732, 24.048751, 24.498215, 29.638848, 69.372307], [10.732489, 13.183241, 14.299537, 14.513638, 36.511930]]
### 2
mean: [-0.622756, 1.516313, 0.989339, -1.216756, -0.075261, -1.292051, 0.811877]
std: [0.519551, 1.384655, 0.861187, 1.092356, 0.488755, 0.822583, 0.803589]
pca: [[-0.047488, 0.707609, -0.201997, -0.466937, -0.366270, -0.232704, 0.223376, 0.000000, 0.000000, 0.000000], [0.616212, 0.052683, 0.060424, 0.511339, -0.350017, -0.479237, 0.014464, 0.000000, 0.000000, 0.000000], [0.381637, 0.063663, 0.232155, -0.100740, 0.465007, 0.102450, 0.748017, 0.000000, 0.000000, 0.000000], [-0.466068, 0.394947, 0.405549, 0.343868, 0.395550, -0.428610, -0.062574, 0.000000, 0.000000, 0.000000], [-0.142609, -0.366244, 0.699374, -0.354373, -0.415230, -0.206504, 0.125557, 0.000000, 0.000000, 0.000000], [-0.362833, 0.090530, 0.018053, 0.516234, -0.442863, 0.433755, 0.457233, 0.000000, 0.000000, 0.000000], [0.321212, 0.440622, 0.497725, -0.005556, -0.045827, 0.539621, -0.402024, 0.000000, 0.000000, 0.000000]]
fourier: [[8.716161, 8.768888, 8.773222, 8.856881, 56.048061], [20.221065, 24.592010, 25.937571, 26.706561, 136.468154], [12.968114, 14.246672, 16.430744, 17.165651, 89.040509], [16.509044, 16.598180, 20.529008, 21.074803, 109.508000], [6.773533, 7.012067, 7.297493, 7.810767, 8.775844], [11.997983, 12.349816, 15.497399, 17.196890, 116.284552], [13.360539, 13.505312, 14.106188, 14.894128, 73.068961]]
### 4
mean: [1.276039, 0.651157, 0.640208, 0.261248, 0.231399, -0.249114, 1.270042]
std: [1.527768, 0.823181, 0.794471, 0.376801, 0.563425, 0.350552, 1.173320]
pca: [[0.647663, 0.110515, -0.287509, -0.240619, -0.105259, -0.111256, 0.635848, 0.000000, 0.000000, 0.000000], [0.347622, -0.433204, -0.063581, 0.442817, -0.429584, 0.541564, -0.116320, 0.000000, 0.000000, 0.000000], [0.335688, 0.316807, -0.249051, 0.618425, 0.534268, -0.117781, -0.207740, 0.000000, 0.000000, 0.000000], [0.156328, 0.226378, 0.643271, -0.080124, 0.370648, 0.563447, 0.221912, 0.000000, 0.000000, 0.000000], [0.236394, -0.432453, -0.281664, -0.521512, 0.475510, 0.191672, -0.378080, 0.000000, 0.000000, 0.000000], [-0.140628, 0.628668, -0.453194, -0.211949, -0.218825, 0.496603, -0.200485, 0.000000, 0.000000, 0.000000], [0.496899, 0.257426, 0.390835, -0.200622, -0.327965, -0.282194, -0.553740, 0.000000, 0.000000, 0.000000]]
fourier: [[24.458563, 26.404946, 27.577019, 31.982862, 114.843542], [13.473053, 13.490561, 15.132131, 17.436026, 58.604151], [12.782734, 13.913539, 14.754162, 16.043622, 57.618704], [5.924949, 6.151313, 6.900412, 7.882301, 23.512359], [9.506728, 9.551123, 9.756042, 12.101788, 20.825945], [5.351702, 6.073240, 6.312297, 7.662838, 22.420258], [18.826967, 19.817962, 21.344830, 24.705808, 114.303761]]
### 6
mean: [-1.576920, 1.056752, -1.267134, 1.636351, -1.412180, 1.820022, 0.510227]
std: [0.836359, 1.353689, 1.212837, 2.040395, 1.027976, 1.907867, 0.890929]
pca: [[-0.226133, 0.303728, 0.746680, 0.070450, 0.484558, 0.205456, 0.130805, 0.000000, 0.000000, 0.000000], [0.366316, 0.378788, 0.138949, 0.428555, 0.006826, -0.486109, -0.531994, 0.000000, 0.000000, 0.000000], [-0.328246, -0.235123, -0.004591, 0.747063, -0.238885, 0.431023, -0.189736, 0.000000, 0.000000, 0.000000], [0.552336, -0.160519, -0.308575, 0.246113, 0.638011, 0.306170, 0.112119, 0.000000, 0.000000, 0.000000], [-0.277662, 0.680151, -0.470072, 0.242658, 0.044409, -0.057151, 0.418580, 0.000000, 0.000000, 0.000000], [0.516385, 0.380686, 0.173337, -0.095847, -0.504236, 0.533692, 0.100554, 0.000000, 0.000000, 0.000000], [0.241052, -0.275124, 0.277324, 0.353033, -0.211675, -0.392265, 0.682629, 0.000000, 0.000000, 0.000000]]
fourier: [[13.855984, 14.128773, 15.272776, 17.779329, 141.922797], [22.477777, 23.250010, 24.028110, 28.962755, 95.107709], [20.175477, 20.765305, 21.718535, 25.761716, 114.042044], [33.935693, 34.904480, 36.705907, 43.480180, 147.271633], [17.112420, 17.937803, 18.492594, 21.622706, 127.096207], [31.724049, 32.784497, 33.980893, 40.643085, 163.802007], [14.824797, 15.460684, 15.930534, 18.948209, 45.920427]]
### 8
mean: [-0.064002, 0.929392, 1.574919, 1.489536, 0.200322, 1.298305, -0.195542]
std: [0.463651, 1.491315, 2.279734, 1.989298, 0.900798, 1.834322, 0.825931]
pca: [[-0.114256, 0.217435, 0.551743, 0.295068, 0.647701, 0.334426, 0.129711, 0.000000, 0.000000, 0.000000], [0.367647, 0.499339, 0.242362, 0.358361, -0.153590, -0.439050, -0.460413, 0.000000, 0.000000, 0.000000], [0.562096, -0.276920, -0.393519, 0.335656, 0.443231, -0.245185, 0.288569, 0.000000, 0.000000, 0.000000], [0.490498, -0.075581, -0.114846, 0.016239, -0.099557, 0.746228, -0.416507, 0.000000, 0.000000, 0.000000], [0.222013, 0.477064, -0.019592, 0.117332, -0.415534, 0.229533, 0.695425, 0.000000, 0.000000, 0.000000], [0.452248, -0.382675, 0.654983, -0.388862, -0.130854, -0.147776, 0.172785, 0.000000, 0.000000, 0.000000], [-0.203524, -0.496947, 0.198513, 0.711761, -0.400921, 0.062442, 0.031215, 0.000000, 0.000000, 0.000000]]
fourier: [[7.630556, 7.870569, 7.939612, 8.199831, 9.941730], [25.467395, 25.521241, 25.835002, 31.833786, 83.645272], [38.806603, 39.048552, 39.942232, 48.785885, 141.742680], [33.872382, 34.071325, 34.788142, 42.547086, 134.058270], [15.373581, 15.461337, 15.526971, 18.028977, 19.216964], [31.001887, 31.504702, 32.225716, 39.212763, 116.847451], [14.066489, 14.229528, 14.271118, 17.598800, 17.630708]]
### 10
mean: [-0.545824, 0.238534, -0.484958, 1.029971, 2.146838, 1.090935, -0.571568]
std: [1.171956, 0.786208, 1.342638, 1.846649, 3.111879, 1.934810, 1.372722]
pca: [[-0.247008, -0.005473, 0.660418, 0.199378, -0.037018, 0.398944, 0.550025, 0.000000, 0.000000, 0.000000], [0.165702, 0.033290, -0.501679, -0.092796, -0.332536, -0.108798, 0.767284, 0.000000, 0.000000, 0.000000], [-0.282896, 0.429560, -0.158798, 0.075003, 0.770782, -0.218154, 0.250818, 0.000000, 0.000000, 0.000000], [0.389167, -0.400123, -0.181046, 0.748936, 0.277253, 0.126481, 0.043612, 0.000000, 0.000000, 0.000000], [0.655910, 0.129250, 0.493244, -0.105162, 0.090819, -0.523630, 0.127637, 0.000000, 0.000000, 0.000000], [0.407621, 0.711896, -0.091966, 0.093678, -0.082164, 0.535573, -0.127385, 0.000000, 0.000000, 0.000000], [-0.289267, 0.361581, 0.049244, 0.604378, -0.449529, -0.452098, -0.106855, 0.000000, 0.000000, 0.000000]]
fourier: [[20.056719, 20.091206, 20.097657, 24.864321, 49.124127], [13.479466, 13.479870, 13.484721, 16.690469, 21.468036], [22.613106, 22.985880, 22.987571, 28.283094, 43.646227], [31.255260, 31.638443, 31.684576, 38.992252, 92.697425], [53.112397, 53.124870, 53.875845, 65.945710, 193.215447], [32.964494, 33.462816, 33.709008, 41.212504, 98.184182], [23.191681, 23.498023, 23.500522, 28.963123, 51.441120]]
### 12
mean: [-1.056369]
std: [2.155388]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.523010, 36.812863, 37.628719, 45.338005, 95.073220]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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"network.6.bias": [
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"network.8.weight": [
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[
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],
"network.8.bias": [
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[
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],
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.384444, 2.334519, 2.473228, -1.154995, -0.543987, -0.770803, 0.405688]
std: [1.717478, 1.788406, 1.829154, 1.373519, 1.369924, 1.518843, 0.685958]
pca: [[-0.533140, -0.260249, -0.172140, 0.285804, 0.330099, 0.083309, 0.648699, 0.000000, 0.000000, 0.000000], [0.545266, -0.066456, 0.202806, 0.652077, -0.315180, 0.157956, 0.328094, 0.000000, 0.000000, 0.000000], [0.445257, 0.564156, -0.307792, -0.209697, 0.393847, -0.121557, 0.418179, 0.000000, 0.000000, 0.000000], [-0.252529, 0.497197, -0.352340, 0.206155, -0.192840, 0.672721, -0.180665, 0.000000, 0.000000, 0.000000], [-0.293796, 0.440474, -0.018461, 0.495070, -0.086643, -0.664573, -0.158326, 0.000000, 0.000000, 0.000000], [-0.248028, 0.409234, 0.770975, -0.230560, -0.112043, 0.129201, 0.306925, 0.000000, 0.000000, 0.000000], [0.092677, 0.029780, 0.340022, 0.329222, 0.761139, 0.205984, -0.380474, 0.000000, 0.000000, 0.000000]]
fourier: [[27.139252, 28.801678, 30.460208, 34.049910, 214.600019], [26.574159, 28.670376, 32.166993, 33.782881, 210.106695], [29.601717, 30.394324, 34.573295, 36.218293, 222.590442], [21.850344, 22.459400, 22.525313, 23.668350, 103.949522], [19.395828, 19.836917, 24.238486, 24.615554, 48.958792], [23.180732, 24.048751, 24.498215, 29.638848, 69.372307], [10.732489, 13.183241, 14.299537, 14.513638, 36.511930]]
### 2
mean: [-0.622756, 1.516313, 0.989339, -1.216756, -0.075261, -1.292051, 0.811877]
std: [0.519551, 1.384655, 0.861187, 1.092356, 0.488755, 0.822583, 0.803589]
pca: [[-0.047488, 0.707609, -0.201997, -0.466937, -0.366270, -0.232704, 0.223376, 0.000000, 0.000000, 0.000000], [0.616212, 0.052683, 0.060424, 0.511339, -0.350017, -0.479237, 0.014464, 0.000000, 0.000000, 0.000000], [0.381637, 0.063663, 0.232155, -0.100740, 0.465007, 0.102450, 0.748017, 0.000000, 0.000000, 0.000000], [-0.466068, 0.394947, 0.405549, 0.343868, 0.395550, -0.428610, -0.062574, 0.000000, 0.000000, 0.000000], [-0.142609, -0.366244, 0.699374, -0.354373, -0.415230, -0.206504, 0.125557, 0.000000, 0.000000, 0.000000], [-0.362833, 0.090530, 0.018053, 0.516234, -0.442863, 0.433755, 0.457233, 0.000000, 0.000000, 0.000000], [0.321212, 0.440622, 0.497725, -0.005556, -0.045827, 0.539621, -0.402024, 0.000000, 0.000000, 0.000000]]
fourier: [[8.716161, 8.768888, 8.773222, 8.856881, 56.048061], [20.221065, 24.592010, 25.937571, 26.706561, 136.468154], [12.968114, 14.246672, 16.430744, 17.165651, 89.040509], [16.509044, 16.598180, 20.529008, 21.074803, 109.508000], [6.773533, 7.012067, 7.297493, 7.810767, 8.775844], [11.997983, 12.349816, 15.497399, 17.196890, 116.284552], [13.360539, 13.505312, 14.106188, 14.894128, 73.068961]]
### 4
mean: [1.276039, 0.651157, 0.640208, 0.261248, 0.231399, -0.249114, 1.270042]
std: [1.527768, 0.823181, 0.794471, 0.376801, 0.563425, 0.350552, 1.173320]
pca: [[0.647663, 0.110515, -0.287509, -0.240619, -0.105259, -0.111256, 0.635848, 0.000000, 0.000000, 0.000000], [0.347622, -0.433204, -0.063581, 0.442817, -0.429584, 0.541564, -0.116320, 0.000000, 0.000000, 0.000000], [0.335688, 0.316807, -0.249051, 0.618425, 0.534268, -0.117781, -0.207740, 0.000000, 0.000000, 0.000000], [0.156328, 0.226378, 0.643271, -0.080124, 0.370648, 0.563447, 0.221912, 0.000000, 0.000000, 0.000000], [0.236394, -0.432453, -0.281664, -0.521512, 0.475510, 0.191672, -0.378080, 0.000000, 0.000000, 0.000000], [-0.140628, 0.628668, -0.453194, -0.211949, -0.218825, 0.496603, -0.200485, 0.000000, 0.000000, 0.000000], [0.496899, 0.257426, 0.390835, -0.200622, -0.327965, -0.282194, -0.553740, 0.000000, 0.000000, 0.000000]]
fourier: [[24.458563, 26.404946, 27.577019, 31.982862, 114.843542], [13.473053, 13.490561, 15.132131, 17.436026, 58.604151], [12.782734, 13.913539, 14.754162, 16.043622, 57.618704], [5.924949, 6.151313, 6.900412, 7.882301, 23.512359], [9.506728, 9.551123, 9.756042, 12.101788, 20.825945], [5.351702, 6.073240, 6.312297, 7.662838, 22.420258], [18.826967, 19.817962, 21.344830, 24.705808, 114.303761]]
### 6
mean: [-1.576920, 1.056752, -1.267134, 1.636351, -1.412180, 1.820022, 0.510227]
std: [0.836359, 1.353689, 1.212837, 2.040395, 1.027976, 1.907867, 0.890929]
pca: [[-0.226133, 0.303728, 0.746680, 0.070450, 0.484558, 0.205456, 0.130805, 0.000000, 0.000000, 0.000000], [0.366316, 0.378788, 0.138949, 0.428555, 0.006826, -0.486109, -0.531994, 0.000000, 0.000000, 0.000000], [-0.328246, -0.235123, -0.004591, 0.747063, -0.238885, 0.431023, -0.189736, 0.000000, 0.000000, 0.000000], [0.552336, -0.160519, -0.308575, 0.246113, 0.638011, 0.306170, 0.112119, 0.000000, 0.000000, 0.000000], [-0.277662, 0.680151, -0.470072, 0.242658, 0.044409, -0.057151, 0.418580, 0.000000, 0.000000, 0.000000], [0.516385, 0.380686, 0.173337, -0.095847, -0.504236, 0.533692, 0.100554, 0.000000, 0.000000, 0.000000], [0.241052, -0.275124, 0.277324, 0.353033, -0.211675, -0.392265, 0.682629, 0.000000, 0.000000, 0.000000]]
fourier: [[13.855984, 14.128773, 15.272776, 17.779329, 141.922797], [22.477777, 23.250010, 24.028110, 28.962755, 95.107709], [20.175477, 20.765305, 21.718535, 25.761716, 114.042044], [33.935693, 34.904480, 36.705907, 43.480180, 147.271633], [17.112420, 17.937803, 18.492594, 21.622706, 127.096207], [31.724049, 32.784497, 33.980893, 40.643085, 163.802007], [14.824797, 15.460684, 15.930534, 18.948209, 45.920427]]
### 8
mean: [-0.064002, 0.929392, 1.574919, 1.489536, 0.200322, 1.298305, -0.195542]
std: [0.463651, 1.491315, 2.279734, 1.989298, 0.900798, 1.834322, 0.825931]
pca: [[-0.114256, 0.217435, 0.551743, 0.295068, 0.647701, 0.334426, 0.129711, 0.000000, 0.000000, 0.000000], [0.367647, 0.499339, 0.242362, 0.358361, -0.153590, -0.439050, -0.460413, 0.000000, 0.000000, 0.000000], [0.562096, -0.276920, -0.393519, 0.335656, 0.443231, -0.245185, 0.288569, 0.000000, 0.000000, 0.000000], [0.490498, -0.075581, -0.114846, 0.016239, -0.099557, 0.746228, -0.416507, 0.000000, 0.000000, 0.000000], [0.222013, 0.477064, -0.019592, 0.117332, -0.415534, 0.229533, 0.695425, 0.000000, 0.000000, 0.000000], [0.452248, -0.382675, 0.654983, -0.388862, -0.130854, -0.147776, 0.172785, 0.000000, 0.000000, 0.000000], [-0.203524, -0.496947, 0.198513, 0.711761, -0.400921, 0.062442, 0.031215, 0.000000, 0.000000, 0.000000]]
fourier: [[7.630556, 7.870569, 7.939612, 8.199831, 9.941730], [25.467395, 25.521241, 25.835002, 31.833786, 83.645272], [38.806603, 39.048552, 39.942232, 48.785885, 141.742680], [33.872382, 34.071325, 34.788142, 42.547086, 134.058270], [15.373581, 15.461337, 15.526971, 18.028977, 19.216964], [31.001887, 31.504702, 32.225716, 39.212763, 116.847451], [14.066489, 14.229528, 14.271118, 17.598800, 17.630708]]
### 10
mean: [-0.545824, 0.238534, -0.484958, 1.029971, 2.146838, 1.090935, -0.571568]
std: [1.171956, 0.786208, 1.342638, 1.846649, 3.111879, 1.934810, 1.372722]
pca: [[-0.247008, -0.005473, 0.660418, 0.199378, -0.037018, 0.398944, 0.550025, 0.000000, 0.000000, 0.000000], [0.165702, 0.033290, -0.501679, -0.092796, -0.332536, -0.108798, 0.767284, 0.000000, 0.000000, 0.000000], [-0.282896, 0.429560, -0.158798, 0.075003, 0.770782, -0.218154, 0.250818, 0.000000, 0.000000, 0.000000], [0.389167, -0.400123, -0.181046, 0.748936, 0.277253, 0.126481, 0.043612, 0.000000, 0.000000, 0.000000], [0.655910, 0.129250, 0.493244, -0.105162, 0.090819, -0.523630, 0.127637, 0.000000, 0.000000, 0.000000], [0.407621, 0.711896, -0.091966, 0.093678, -0.082164, 0.535573, -0.127385, 0.000000, 0.000000, 0.000000], [-0.289267, 0.361581, 0.049244, 0.604378, -0.449529, -0.452098, -0.106855, 0.000000, 0.000000, 0.000000]]
fourier: [[20.056719, 20.091206, 20.097657, 24.864321, 49.124127], [13.479466, 13.479870, 13.484721, 16.690469, 21.468036], [22.613106, 22.985880, 22.987571, 28.283094, 43.646227], [31.255260, 31.638443, 31.684576, 38.992252, 92.697425], [53.112397, 53.124870, 53.875845, 65.945710, 193.215447], [32.964494, 33.462816, 33.709008, 41.212504, 98.184182], [23.191681, 23.498023, 23.500522, 28.963123, 51.441120]]
### 12
mean: [-1.056369]
std: [2.155388]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.523010, 36.812863, 37.628719, 45.338005, 95.073220]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912989318370819, "train_acc": 0.58, "val_loss": 0.6923817992210388, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6844792664051056, "train_acc": 0.58, "val_loss": 0.6945057511329651, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6726891100406647, "train_acc": 0.58, "val_loss": 0.7120339870452881, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6471691131591797, "train_acc": 0.58, "val_loss": 0.6761801242828369, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.627749890089035, "train_acc": 0.58, "val_loss": 0.6514936685562134, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6726242303848267, "train_acc": 0.495, "val_loss": 0.6645434498786926, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6564662456512451, "train_acc": 0.495, "val_loss": 0.6201160550117493, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5886766612529755, "train_acc": 0.52, "val_loss": 0.6800544261932373, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6096496284008026, "train_acc": 0.69, "val_loss": 0.5511261224746704, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5435375869274139, "train_acc": 0.79, "val_loss": 0.5557986497879028, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5501779019832611, "train_acc": 0.77, "val_loss": 0.5078051686286926, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4903019815683365, "train_acc": 0.795, "val_loss": 0.47854745388031006, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4853058159351349, "train_acc": 0.785, "val_loss": 0.4454827606678009, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.43044769763946533, "train_acc": 0.825, "val_loss": 0.46718254685401917, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4689149707555771, "train_acc": 0.8, "val_loss": 0.41433438658714294, "val_acc": 0.8}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6923817992210388, "final_val_loss": 0.6514936685562134, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6645434498786926, "final_val_loss": 0.41433438658714294, "initial_val_acc": 0.52, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 11}, "improvement": 0.31999999999999995, "first_improvement_epoch": 4}}
|
16
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.98, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6709, "learning_rate": 0.05912918367929151, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.6.weight": [
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"network.8.weight": [
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],
[
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],
"network.8.bias": [
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0.459004,
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],
"network.10.weight": [
[
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0.625199,
-0.351095,
0.416724,
-0.285703,
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]
],
"network.10.bias": [
0.603433
]
}
## Activation Signature
### 0
mean: [0.126521, 2.625263, -0.610407, -1.806525, 1.454284, -0.430568, 4.201562, 3.931053]
std: [2.533601, 2.730709, 2.187503, 3.204697, 3.073179, 2.005663, 3.576319, 3.189934]
pca: [[-0.301944, -0.333906, -0.166387, 0.644912, 0.005881, -0.376433, -0.393874, -0.238468, 0.000000, 0.000000], [0.346148, -0.216941, -0.484952, 0.256813, -0.299395, 0.658976, -0.042241, -0.079473, 0.000000, 0.000000], [0.079044, 0.533357, 0.504651, 0.419656, -0.418333, 0.149444, -0.259311, 0.117985, 0.000000, 0.000000], [-0.453525, -0.002604, 0.102578, 0.311421, 0.542442, 0.490660, 0.134138, 0.365814, 0.000000, 0.000000], [0.376289, 0.441736, -0.209883, 0.411498, 0.365789, -0.202908, 0.455791, -0.259182, 0.000000, 0.000000], [-0.234659, -0.307335, 0.221167, 0.197279, -0.460057, -0.057820, 0.739234, -0.034398, 0.000000, 0.000000], [0.491337, -0.313765, 0.053917, 0.188828, 0.051267, -0.283303, 0.002895, 0.733948, 0.000000, 0.000000], [0.372839, -0.411015, 0.613245, 0.033716, 0.304958, 0.190243, -0.060182, -0.426659, 0.000000, 0.000000]]
fourier: [[38.463439, 40.198986, 41.787357, 43.621734, 49.634762], [43.281366, 43.769477, 45.085330, 54.734064, 236.273698], [34.022026, 36.691028, 38.011364, 49.199027, 54.936618], [48.912040, 51.410479, 52.536610, 57.181910, 162.587266], [49.182867, 51.275333, 59.995471, 62.561234, 130.885551], [30.701511, 31.034799, 34.364526, 38.751094, 43.192120], [56.954900, 59.075259, 64.910602, 67.409948, 378.140568], [51.127059, 57.986619, 58.718000, 66.660045, 353.794775]]
### 2
mean: [-2.985132, 7.472348, 6.393481, -5.269085, 3.079382, -4.226029, 6.176116, 1.594646]
std: [2.038522, 6.684456, 5.952970, 3.001544, 5.005367, 4.512111, 5.346566, 4.008484]
pca: [[-0.118255, 0.161588, 0.336528, 0.711724, -0.159924, 0.133932, -0.286811, 0.462957, 0.000000, 0.000000], [0.525864, -0.098043, -0.219392, 0.228600, 0.673505, -0.260415, -0.283031, 0.109236, 0.000000, 0.000000], [0.466487, -0.096449, 0.245977, -0.362406, -0.425151, -0.408617, -0.032907, 0.482120, 0.000000, 0.000000], [-0.112202, 0.560406, 0.571297, -0.146913, 0.420220, -0.269037, 0.275739, -0.019868, 0.000000, 0.000000], [0.370896, 0.413102, 0.102827, -0.315623, -0.023640, 0.610672, -0.445187, -0.099604, 0.000000, 0.000000], [-0.348598, 0.092229, -0.352556, -0.329661, 0.275716, 0.212421, 0.064133, 0.715365, 0.000000, 0.000000], [0.417289, -0.196820, 0.144409, 0.166994, 0.089937, 0.475483, 0.696435, 0.138555, 0.000000, 0.000000], [0.214637, 0.650401, -0.544067, 0.228229, -0.280730, -0.175417, 0.270542, -0.006188, 0.000000, 0.000000]]
fourier: [[36.365378, 36.475252, 37.622948, 39.999879, 268.661943], [107.188351, 110.660551, 122.704109, 123.705226, 672.511339], [98.171104, 98.325885, 103.728093, 109.632109, 575.413327], [42.451445, 53.362297, 54.052031, 54.559739, 474.217688], [75.262471, 79.161750, 82.221129, 108.414110, 277.144361], [69.345434, 78.688596, 80.190955, 84.337095, 380.342658], [84.282095, 91.448157, 99.087395, 104.546188, 555.850402], [59.876550, 63.350585, 73.657412, 79.984937, 143.518097]]
### 4
mean: [-12.390913, 6.985659, 8.141870, 2.996129, 14.322069, 5.767225, 10.162832, -13.291302]
std: [12.343628, 6.782484, 8.107805, 3.232533, 13.988029, 6.591615, 10.239616, 13.188454]
pca: [[-0.439303, 0.311852, 0.280340, 0.011819, 0.350153, 0.542094, 0.329529, -0.325529, 0.000000, 0.000000], [0.240543, 0.288313, -0.306731, 0.225619, 0.671025, -0.275782, -0.282848, -0.328168, 0.000000, 0.000000], [0.288522, 0.184984, -0.237435, 0.646396, -0.466535, 0.215136, 0.235998, -0.297823, 0.000000, 0.000000], [0.114298, 0.129011, 0.438800, 0.525305, 0.190995, 0.175821, -0.252704, 0.608728, 0.000000, 0.000000], [0.498545, -0.109981, 0.513688, -0.223241, -0.105791, 0.244214, -0.392369, -0.448175, 0.000000, 0.000000], [0.225531, 0.795720, -0.139826, -0.420165, -0.192593, 0.116675, -0.050708, 0.258067, 0.000000, 0.000000], [0.364915, 0.093024, 0.419012, -0.030760, 0.129063, -0.461111, 0.672547, 0.008153, 0.000000, 0.000000], [-0.469328, 0.338882, 0.345552, 0.166918, -0.328700, -0.516725, -0.288114, -0.244056, 0.000000, 0.000000]]
fourier: [[208.722174, 209.710044, 210.611432, 211.243704, 1115.182128], [108.654740, 111.023708, 113.578928, 124.141284, 628.709250], [130.740822, 131.180593, 135.471691, 147.048625, 732.768303], [50.008586, 54.106253, 54.895338, 62.960052, 269.651645], [229.435496, 235.401586, 238.108225, 247.843253, 1288.986147], [107.239333, 110.457403, 113.402085, 127.011890, 519.050278], [167.005880, 168.936935, 174.309872, 185.603592, 914.654849], [223.568964, 223.786097, 223.803389, 227.195286, 1196.217101]]
### 6
mean: [-19.814695, 8.220616, -6.598165, 17.679548, -14.651450, -21.507822, 7.156711, -12.682313]
std: [20.278370, 8.542627, 6.628341, 17.955988, 14.780738, 21.495415, 7.721336, 12.370198]
pca: [[0.485785, -0.141461, -0.189950, -0.443247, 0.572685, 0.108541, 0.385323, -0.152413, 0.000000, 0.000000], [-0.204160, 0.530980, 0.351175, -0.043471, 0.032727, 0.556597, 0.191524, -0.451235, 0.000000, 0.000000], [0.158676, 0.080891, 0.746927, 0.167676, 0.472618, -0.336818, -0.161988, 0.138597, 0.000000, 0.000000], [-0.430153, -0.139320, 0.131091, 0.036330, 0.096804, 0.136796, 0.643888, 0.578254, 0.000000, 0.000000], [0.353565, 0.738362, -0.186500, -0.091356, -0.096322, -0.027846, -0.012722, 0.525804, 0.000000, 0.000000], [0.514876, -0.338872, 0.400469, -0.069232, -0.467228, 0.444475, -0.008451, 0.197405, 0.000000, 0.000000], [-0.184949, -0.109597, -0.146540, -0.029120, 0.428207, 0.557299, -0.581566, 0.315116, 0.000000, 0.000000], [0.296328, -0.008407, -0.221086, 0.870759, 0.165169, 0.193245, 0.188577, -0.069527, 0.000000, 0.000000]]
fourier: [[329.392742, 335.248016, 346.062618, 366.723167, 1783.322529], [140.704697, 144.326030, 145.845359, 151.283235, 739.855509], [106.872285, 109.340791, 113.537669, 119.127146, 593.834852], [292.338763, 295.084614, 305.286828, 325.668608, 1591.159364], [238.221611, 244.362005, 249.442032, 272.021515, 1318.630442], [345.366657, 357.580901, 367.271134, 385.002929, 1935.703956], [125.321327, 126.849023, 130.976942, 139.733703, 644.103955], [200.666388, 203.528165, 209.408545, 223.493504, 1141.408262]]
### 8
mean: [-13.980575, 7.059006, -16.473343, 9.340390, -9.649085, 10.250471, 15.199753, 7.456683]
std: [14.862643, 7.815620, 17.634172, 9.954247, 10.666886, 10.877351, 15.906466, 8.307070]
pca: [[0.421036, 0.365803, 0.398551, -0.120309, 0.345979, -0.037390, 0.444665, -0.443592, 0.000000, 0.000000], [-0.221303, 0.580077, -0.252398, 0.581346, 0.340983, 0.292205, -0.021424, 0.103708, 0.000000, 0.000000], [0.499582, 0.213111, -0.117530, -0.369770, -0.127133, 0.644055, -0.285274, 0.205203, 0.000000, 0.000000], [-0.281954, 0.347056, 0.503113, -0.164744, -0.272524, -0.013137, 0.294363, 0.598915, 0.000000, 0.000000], [0.302129, -0.471152, 0.433924, 0.393308, 0.403135, 0.140439, -0.092756, 0.391036, 0.000000, 0.000000], [-0.308161, 0.079842, 0.031269, -0.532070, 0.667717, -0.153003, -0.363422, 0.115129, 0.000000, 0.000000], [-0.450626, -0.111276, 0.479000, 0.033296, -0.118968, 0.515181, -0.233856, -0.468777, 0.000000, 0.000000], [-0.235296, -0.350847, -0.302999, -0.211646, 0.226010, 0.435541, 0.662130, 0.075812, 0.000000, 0.000000]]
fourier: [[240.092941, 247.088061, 252.855623, 267.104767, 1258.251650], [125.433656, 128.919980, 134.007060, 140.646830, 635.310535], [285.485182, 291.866131, 299.757177, 317.845819, 1482.600777], [161.660908, 163.638575, 169.436607, 180.315458, 840.635141], [171.452398, 176.786475, 182.668908, 191.825957, 868.417599], [175.650056, 179.948653, 185.486435, 196.037090, 922.542485], [258.204002, 262.660989, 270.145801, 287.295759, 1367.977874], [134.004371, 138.427364, 141.301572, 148.955412, 671.101548]]
### 10
mean: [-11.048563]
std: [12.732554]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[205.025064, 211.856108, 218.291192, 228.414791, 994.370647]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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"network.0.bias": [
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0.077675,
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],
"network.2.bias": [
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0.080292,
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0.942467
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0.237555,
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1.061236
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1.220295
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],
"network.4.bias": [
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"network.6.weight": [
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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],
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0.503881,
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[
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-0.140843,
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[
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],
[
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0.428399,
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]
],
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
0.603433
]
}
## Activation Signature
### 0
mean: [0.126521, 2.625263, -0.610407, -1.806525, 1.454284, -0.430568, 4.201562, 3.931053]
std: [2.533601, 2.730709, 2.187503, 3.204697, 3.073179, 2.005663, 3.576319, 3.189934]
pca: [[-0.301944, -0.333906, -0.166387, 0.644912, 0.005881, -0.376433, -0.393874, -0.238468, 0.000000, 0.000000], [0.346148, -0.216941, -0.484952, 0.256813, -0.299395, 0.658976, -0.042241, -0.079473, 0.000000, 0.000000], [0.079044, 0.533357, 0.504651, 0.419656, -0.418333, 0.149444, -0.259311, 0.117985, 0.000000, 0.000000], [-0.453525, -0.002604, 0.102578, 0.311421, 0.542442, 0.490660, 0.134138, 0.365814, 0.000000, 0.000000], [0.376289, 0.441736, -0.209883, 0.411498, 0.365789, -0.202908, 0.455791, -0.259182, 0.000000, 0.000000], [-0.234659, -0.307335, 0.221167, 0.197279, -0.460057, -0.057820, 0.739234, -0.034398, 0.000000, 0.000000], [0.491337, -0.313765, 0.053917, 0.188828, 0.051267, -0.283303, 0.002895, 0.733948, 0.000000, 0.000000], [0.372839, -0.411015, 0.613245, 0.033716, 0.304958, 0.190243, -0.060182, -0.426659, 0.000000, 0.000000]]
fourier: [[38.463439, 40.198986, 41.787357, 43.621734, 49.634762], [43.281366, 43.769477, 45.085330, 54.734064, 236.273698], [34.022026, 36.691028, 38.011364, 49.199027, 54.936618], [48.912040, 51.410479, 52.536610, 57.181910, 162.587266], [49.182867, 51.275333, 59.995471, 62.561234, 130.885551], [30.701511, 31.034799, 34.364526, 38.751094, 43.192120], [56.954900, 59.075259, 64.910602, 67.409948, 378.140568], [51.127059, 57.986619, 58.718000, 66.660045, 353.794775]]
### 2
mean: [-2.985132, 7.472348, 6.393481, -5.269085, 3.079382, -4.226029, 6.176116, 1.594646]
std: [2.038522, 6.684456, 5.952970, 3.001544, 5.005367, 4.512111, 5.346566, 4.008484]
pca: [[-0.118255, 0.161588, 0.336528, 0.711724, -0.159924, 0.133932, -0.286811, 0.462957, 0.000000, 0.000000], [0.525864, -0.098043, -0.219392, 0.228600, 0.673505, -0.260415, -0.283031, 0.109236, 0.000000, 0.000000], [0.466487, -0.096449, 0.245977, -0.362406, -0.425151, -0.408617, -0.032907, 0.482120, 0.000000, 0.000000], [-0.112202, 0.560406, 0.571297, -0.146913, 0.420220, -0.269037, 0.275739, -0.019868, 0.000000, 0.000000], [0.370896, 0.413102, 0.102827, -0.315623, -0.023640, 0.610672, -0.445187, -0.099604, 0.000000, 0.000000], [-0.348598, 0.092229, -0.352556, -0.329661, 0.275716, 0.212421, 0.064133, 0.715365, 0.000000, 0.000000], [0.417289, -0.196820, 0.144409, 0.166994, 0.089937, 0.475483, 0.696435, 0.138555, 0.000000, 0.000000], [0.214637, 0.650401, -0.544067, 0.228229, -0.280730, -0.175417, 0.270542, -0.006188, 0.000000, 0.000000]]
fourier: [[36.365378, 36.475252, 37.622948, 39.999879, 268.661943], [107.188351, 110.660551, 122.704109, 123.705226, 672.511339], [98.171104, 98.325885, 103.728093, 109.632109, 575.413327], [42.451445, 53.362297, 54.052031, 54.559739, 474.217688], [75.262471, 79.161750, 82.221129, 108.414110, 277.144361], [69.345434, 78.688596, 80.190955, 84.337095, 380.342658], [84.282095, 91.448157, 99.087395, 104.546188, 555.850402], [59.876550, 63.350585, 73.657412, 79.984937, 143.518097]]
### 4
mean: [-12.390913, 6.985659, 8.141870, 2.996129, 14.322069, 5.767225, 10.162832, -13.291302]
std: [12.343628, 6.782484, 8.107805, 3.232533, 13.988029, 6.591615, 10.239616, 13.188454]
pca: [[-0.439303, 0.311852, 0.280340, 0.011819, 0.350153, 0.542094, 0.329529, -0.325529, 0.000000, 0.000000], [0.240543, 0.288313, -0.306731, 0.225619, 0.671025, -0.275782, -0.282848, -0.328168, 0.000000, 0.000000], [0.288522, 0.184984, -0.237435, 0.646396, -0.466535, 0.215136, 0.235998, -0.297823, 0.000000, 0.000000], [0.114298, 0.129011, 0.438800, 0.525305, 0.190995, 0.175821, -0.252704, 0.608728, 0.000000, 0.000000], [0.498545, -0.109981, 0.513688, -0.223241, -0.105791, 0.244214, -0.392369, -0.448175, 0.000000, 0.000000], [0.225531, 0.795720, -0.139826, -0.420165, -0.192593, 0.116675, -0.050708, 0.258067, 0.000000, 0.000000], [0.364915, 0.093024, 0.419012, -0.030760, 0.129063, -0.461111, 0.672547, 0.008153, 0.000000, 0.000000], [-0.469328, 0.338882, 0.345552, 0.166918, -0.328700, -0.516725, -0.288114, -0.244056, 0.000000, 0.000000]]
fourier: [[208.722174, 209.710044, 210.611432, 211.243704, 1115.182128], [108.654740, 111.023708, 113.578928, 124.141284, 628.709250], [130.740822, 131.180593, 135.471691, 147.048625, 732.768303], [50.008586, 54.106253, 54.895338, 62.960052, 269.651645], [229.435496, 235.401586, 238.108225, 247.843253, 1288.986147], [107.239333, 110.457403, 113.402085, 127.011890, 519.050278], [167.005880, 168.936935, 174.309872, 185.603592, 914.654849], [223.568964, 223.786097, 223.803389, 227.195286, 1196.217101]]
### 6
mean: [-19.814695, 8.220616, -6.598165, 17.679548, -14.651450, -21.507822, 7.156711, -12.682313]
std: [20.278370, 8.542627, 6.628341, 17.955988, 14.780738, 21.495415, 7.721336, 12.370198]
pca: [[0.485785, -0.141461, -0.189950, -0.443247, 0.572685, 0.108541, 0.385323, -0.152413, 0.000000, 0.000000], [-0.204160, 0.530980, 0.351175, -0.043471, 0.032727, 0.556597, 0.191524, -0.451235, 0.000000, 0.000000], [0.158676, 0.080891, 0.746927, 0.167676, 0.472618, -0.336818, -0.161988, 0.138597, 0.000000, 0.000000], [-0.430153, -0.139320, 0.131091, 0.036330, 0.096804, 0.136796, 0.643888, 0.578254, 0.000000, 0.000000], [0.353565, 0.738362, -0.186500, -0.091356, -0.096322, -0.027846, -0.012722, 0.525804, 0.000000, 0.000000], [0.514876, -0.338872, 0.400469, -0.069232, -0.467228, 0.444475, -0.008451, 0.197405, 0.000000, 0.000000], [-0.184949, -0.109597, -0.146540, -0.029120, 0.428207, 0.557299, -0.581566, 0.315116, 0.000000, 0.000000], [0.296328, -0.008407, -0.221086, 0.870759, 0.165169, 0.193245, 0.188577, -0.069527, 0.000000, 0.000000]]
fourier: [[329.392742, 335.248016, 346.062618, 366.723167, 1783.322529], [140.704697, 144.326030, 145.845359, 151.283235, 739.855509], [106.872285, 109.340791, 113.537669, 119.127146, 593.834852], [292.338763, 295.084614, 305.286828, 325.668608, 1591.159364], [238.221611, 244.362005, 249.442032, 272.021515, 1318.630442], [345.366657, 357.580901, 367.271134, 385.002929, 1935.703956], [125.321327, 126.849023, 130.976942, 139.733703, 644.103955], [200.666388, 203.528165, 209.408545, 223.493504, 1141.408262]]
### 8
mean: [-13.980575, 7.059006, -16.473343, 9.340390, -9.649085, 10.250471, 15.199753, 7.456683]
std: [14.862643, 7.815620, 17.634172, 9.954247, 10.666886, 10.877351, 15.906466, 8.307070]
pca: [[0.421036, 0.365803, 0.398551, -0.120309, 0.345979, -0.037390, 0.444665, -0.443592, 0.000000, 0.000000], [-0.221303, 0.580077, -0.252398, 0.581346, 0.340983, 0.292205, -0.021424, 0.103708, 0.000000, 0.000000], [0.499582, 0.213111, -0.117530, -0.369770, -0.127133, 0.644055, -0.285274, 0.205203, 0.000000, 0.000000], [-0.281954, 0.347056, 0.503113, -0.164744, -0.272524, -0.013137, 0.294363, 0.598915, 0.000000, 0.000000], [0.302129, -0.471152, 0.433924, 0.393308, 0.403135, 0.140439, -0.092756, 0.391036, 0.000000, 0.000000], [-0.308161, 0.079842, 0.031269, -0.532070, 0.667717, -0.153003, -0.363422, 0.115129, 0.000000, 0.000000], [-0.450626, -0.111276, 0.479000, 0.033296, -0.118968, 0.515181, -0.233856, -0.468777, 0.000000, 0.000000], [-0.235296, -0.350847, -0.302999, -0.211646, 0.226010, 0.435541, 0.662130, 0.075812, 0.000000, 0.000000]]
fourier: [[240.092941, 247.088061, 252.855623, 267.104767, 1258.251650], [125.433656, 128.919980, 134.007060, 140.646830, 635.310535], [285.485182, 291.866131, 299.757177, 317.845819, 1482.600777], [161.660908, 163.638575, 169.436607, 180.315458, 840.635141], [171.452398, 176.786475, 182.668908, 191.825957, 868.417599], [175.650056, 179.948653, 185.486435, 196.037090, 922.542485], [258.204002, 262.660989, 270.145801, 287.295759, 1367.977874], [134.004371, 138.427364, 141.301572, 148.955412, 671.101548]]
### 10
mean: [-11.048563]
std: [12.732554]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[205.025064, 211.856108, 218.291192, 228.414791, 994.370647]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.687283992767334, "train_acc": 0.475, "val_loss": 0.5355622172355652, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5482286661863327, "train_acc": 0.555, "val_loss": 0.3604751527309418, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.46057912707328796, "train_acc": 0.6, "val_loss": 0.3581351041793823, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3677895963191986, "train_acc": 0.86, "val_loss": 0.27658405900001526, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3775920569896698, "train_acc": 0.89, "val_loss": 0.22097548842430115, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3416828513145447, "train_acc": 0.83, "val_loss": 0.29951971769332886, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2529315948486328, "train_acc": 0.88, "val_loss": 0.3547351062297821, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2785644009709358, "train_acc": 0.88, "val_loss": 0.22004374861717224, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20153751224279404, "train_acc": 0.92, "val_loss": 0.19638340175151825, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22003500163555145, "train_acc": 0.92, "val_loss": 0.1599598377943039, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17510081827640533, "train_acc": 0.935, "val_loss": 0.12212543189525604, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1263461410999298, "train_acc": 0.93, "val_loss": 0.13253742456436157, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.5355622172355652, "final_val_loss": 0.3604751527309418, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.3581351041793823, "final_val_loss": 0.13253742456436157, "initial_val_acc": 0.84, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
17
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.72, "improved_accuracy": 0.9, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4346, "learning_rate": 0.054312033149829644, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.220499,
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],
[
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[
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-0.86418
],
[
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],
[
-0.83546,
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0.351334,
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],
[
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0.02172,
0.008572
]
],
"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
mean: [-3.448487, 3.329560, -4.029819, -3.149921, 0.341075, 3.689677]
std: [2.394232, 3.009402, 2.749760, 2.746568, 2.449441, 2.997961]
pca: [[-0.252775, -0.486467, 0.725915, 0.234642, 0.341783, -0.025082, 0.000000, 0.000000, 0.000000, 0.000000], [0.517243, -0.156014, -0.021808, 0.757641, -0.297778, 0.212021, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321291, -0.565856, -0.644666, 0.225846, 0.149421, -0.296059, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489173, -0.013735, -0.134109, 0.058554, -0.073837, 0.856537, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231903, 0.625842, -0.074924, 0.521192, 0.511363, -0.125684, 0.000000, 0.000000, 0.000000, 0.000000], [0.521793, -0.164162, -0.182697, -0.211773, 0.710804, 0.342512, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.661503, 39.755378, 46.117730, 49.643115, 310.363823], [43.871425, 44.539229, 53.452593, 57.896555, 299.660370], [38.807123, 50.245532, 54.819665, 56.027305, 362.683668], [43.537312, 45.149455, 45.532345, 55.054274, 283.492814], [34.051776, 34.762462, 35.882378, 37.144765, 44.848096], [48.683844, 48.821554, 51.637043, 54.766082, 332.070979]]
### 2
mean: [0.704147, -1.674300, -1.612274, -3.608946, -3.310248, -4.596226]
std: [1.324208, 1.038759, 1.051188, 3.967306, 2.855094, 5.308214]
pca: [[-0.171865, 0.210570, 0.834212, 0.451240, 0.112898, -0.117685, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030761, 0.660878, -0.109337, -0.265929, -0.119713, -0.682121, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046818, 0.647910, 0.059543, -0.255580, 0.044219, 0.712179, 0.000000, 0.000000, 0.000000, 0.000000], [0.540919, -0.145675, 0.447156, -0.405509, -0.566907, 0.020377, 0.000000, 0.000000, 0.000000, 0.000000], [0.385914, 0.265058, -0.296958, 0.704172, -0.434622, 0.088751, 0.000000, 0.000000, 0.000000, 0.000000], [0.725121, 0.087380, 0.021405, 0.006902, 0.678740, -0.073282, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.555073, 20.039120, 21.225480, 27.804933, 63.373212], [15.621902, 17.221873, 18.253115, 23.077773, 150.686951], [15.393468, 17.503637, 17.563817, 24.427903, 145.104671], [61.412472, 65.101140, 67.140893, 75.554679, 324.805186], [43.104471, 43.795596, 50.095351, 51.999176, 297.922316], [81.414467, 91.125975, 91.882961, 93.539418, 413.660327]]
### 4
mean: [-0.045302, -0.565527, 0.721105, 0.589696, 0.585302, 0.501231]
std: [0.778093, 0.292513, 0.764841, 0.743771, 1.394313, 0.438234]
pca: [[-0.372264, 0.594141, -0.038345, -0.444820, -0.090075, 0.548605, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141437, -0.201782, 0.235904, 0.548479, 0.401015, 0.649605, 0.000000, 0.000000, 0.000000, 0.000000], [0.397421, -0.077816, -0.252498, -0.461080, 0.743312, 0.084494, 0.000000, 0.000000, 0.000000, 0.000000], [0.373873, -0.356256, 0.611291, -0.413204, -0.319361, 0.294779, 0.000000, 0.000000, 0.000000, 0.000000], [0.707850, 0.601443, 0.052687, 0.341153, -0.096598, 0.093394, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206490, 0.334027, 0.708993, -0.039849, 0.408948, -0.417480, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.648226, 12.765333, 13.099014, 13.330115, 16.350253], [4.674791, 5.007252, 5.055289, 5.491388, 50.897452], [11.413405, 13.926223, 14.283396, 14.386340, 64.899432], [11.831883, 12.736319, 14.006429, 14.319952, 53.072683], [19.811182, 23.973514, 24.246741, 28.034133, 52.677138], [6.884276, 7.596215, 7.804500, 10.214524, 45.110804]]
### 6
mean: [-0.412451, -0.174126, 0.403981, 1.528857, 0.383744, -1.179170]
std: [0.475127, 1.366077, 0.817346, 1.380405, 0.728912, 0.638461]
pca: [[-0.196320, -0.311135, 0.465967, 0.073248, 0.621995, -0.505258, 0.000000, 0.000000, 0.000000, 0.000000], [-0.584733, -0.030046, -0.426957, 0.668553, -0.078369, -0.147607, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337616, -0.568973, 0.158123, -0.049437, 0.086126, 0.726237, 0.000000, 0.000000, 0.000000, 0.000000], [0.589405, -0.268567, 0.284291, 0.678771, -0.184532, 0.069786, 0.000000, 0.000000, 0.000000, 0.000000], [0.310226, 0.188061, -0.433762, 0.158517, 0.748489, 0.308026, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248844, 0.686343, 0.553722, 0.243659, 0.072634, 0.309446, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.736108, 8.130832, 8.150848, 10.377092, 37.120553], [20.284908, 20.838654, 24.884151, 25.002489, 25.631187], [13.797304, 13.904345, 14.225024, 17.082081, 36.358323], [20.699613, 24.593112, 24.659346, 25.858528, 137.597104], [11.699958, 12.800693, 12.856065, 15.001285, 34.537003], [10.154889, 10.504408, 10.828675, 10.834427, 106.125338]]
### 8
mean: [1.439305, 1.801747, -1.662698, 0.284927, -0.570233, 1.757313]
std: [1.260230, 1.794710, 0.494619, 0.353287, 1.373628, 1.869494]
pca: [[0.394180, 0.112950, -0.354518, 0.669573, -0.490166, -0.132629, 0.000000, 0.000000, 0.000000, 0.000000], [0.557999, -0.359463, 0.731413, 0.070263, -0.094876, 0.102562, 0.000000, 0.000000, 0.000000, 0.000000], [0.065651, 0.736922, 0.273389, 0.318916, 0.355885, 0.386695, 0.000000, 0.000000, 0.000000, 0.000000], [0.070148, -0.449261, -0.214603, 0.449561, 0.736426, -0.052547, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425517, -0.336295, -0.005833, 0.256397, -0.269087, 0.753431, 0.000000, 0.000000, 0.000000, 0.000000], [0.585630, -0.006671, -0.467462, -0.420931, 0.096701, 0.501933, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.856665, 21.969088, 22.158843, 25.548061, 129.537477], [26.629977, 31.208158, 31.998812, 33.375928, 162.157207], [7.442115, 7.630516, 8.069909, 9.044117, 149.642826], [5.624799, 5.696776, 5.985891, 7.252583, 25.643445], [22.618180, 23.406929, 23.421614, 28.970976, 51.320985], [28.687276, 32.637519, 33.149829, 36.730792, 158.158165]]
### 10
mean: [3.808578, -1.682802, -1.157010, -1.223853, -1.691752, -1.353196]
std: [2.769645, 1.944785, 1.169851, 1.314758, 1.704960, 1.481313]
pca: [[0.625527, 0.510946, 0.209732, 0.348091, 0.395521, 0.161427, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439765, 0.241916, 0.841373, -0.148443, 0.012755, 0.134074, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264098, -0.234111, 0.092176, 0.412839, 0.560332, -0.618498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293708, 0.572294, -0.184811, 0.486482, -0.503015, -0.249742, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385708, -0.169923, -0.184765, 0.482283, 0.211299, 0.714824, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332475, 0.518853, -0.413900, -0.465941, 0.481412, 0.009017, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.004038, 46.336415, 47.244174, 49.370455, 342.771944], [28.382571, 32.901133, 33.097149, 37.674200, 151.452177], [17.849306, 19.447805, 19.884473, 20.817895, 104.130900], [20.328228, 22.214817, 22.461400, 27.174529, 110.146780], [25.399047, 28.638023, 29.100289, 31.196889, 152.257683], [22.292251, 25.379719, 25.410045, 30.053366, 121.787634]]
### 12
mean: [-3.756420]
std: [2.872568]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.050628, 47.165768, 48.718900, 59.597934, 338.077796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
-0.415955,
-0.567355,
0.093575,
0.041786,
0.635592,
0.09634
]
],
"network.10.bias": [
0.693636,
0.368693,
0.231223,
-0.018193,
0.23705,
0.017033
],
"network.12.weight": [
[
-0.912215,
0.29763,
0.237155,
0.31004,
0.361396,
0.611643
]
],
"network.12.bias": [
-0.35321
]
}
## Activation Signature
### 0
mean: [-3.448487, 3.329560, -4.029819, -3.149921, 0.341075, 3.689677]
std: [2.394232, 3.009402, 2.749760, 2.746568, 2.449441, 2.997961]
pca: [[-0.252775, -0.486467, 0.725915, 0.234642, 0.341783, -0.025082, 0.000000, 0.000000, 0.000000, 0.000000], [0.517243, -0.156014, -0.021808, 0.757641, -0.297778, 0.212021, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321291, -0.565856, -0.644666, 0.225846, 0.149421, -0.296059, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489173, -0.013735, -0.134109, 0.058554, -0.073837, 0.856537, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231903, 0.625842, -0.074924, 0.521192, 0.511363, -0.125684, 0.000000, 0.000000, 0.000000, 0.000000], [0.521793, -0.164162, -0.182697, -0.211773, 0.710804, 0.342512, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.661503, 39.755378, 46.117730, 49.643115, 310.363823], [43.871425, 44.539229, 53.452593, 57.896555, 299.660370], [38.807123, 50.245532, 54.819665, 56.027305, 362.683668], [43.537312, 45.149455, 45.532345, 55.054274, 283.492814], [34.051776, 34.762462, 35.882378, 37.144765, 44.848096], [48.683844, 48.821554, 51.637043, 54.766082, 332.070979]]
### 2
mean: [0.704147, -1.674300, -1.612274, -3.608946, -3.310248, -4.596226]
std: [1.324208, 1.038759, 1.051188, 3.967306, 2.855094, 5.308214]
pca: [[-0.171865, 0.210570, 0.834212, 0.451240, 0.112898, -0.117685, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030761, 0.660878, -0.109337, -0.265929, -0.119713, -0.682121, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046818, 0.647910, 0.059543, -0.255580, 0.044219, 0.712179, 0.000000, 0.000000, 0.000000, 0.000000], [0.540919, -0.145675, 0.447156, -0.405509, -0.566907, 0.020377, 0.000000, 0.000000, 0.000000, 0.000000], [0.385914, 0.265058, -0.296958, 0.704172, -0.434622, 0.088751, 0.000000, 0.000000, 0.000000, 0.000000], [0.725121, 0.087380, 0.021405, 0.006902, 0.678740, -0.073282, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.555073, 20.039120, 21.225480, 27.804933, 63.373212], [15.621902, 17.221873, 18.253115, 23.077773, 150.686951], [15.393468, 17.503637, 17.563817, 24.427903, 145.104671], [61.412472, 65.101140, 67.140893, 75.554679, 324.805186], [43.104471, 43.795596, 50.095351, 51.999176, 297.922316], [81.414467, 91.125975, 91.882961, 93.539418, 413.660327]]
### 4
mean: [-0.045302, -0.565527, 0.721105, 0.589696, 0.585302, 0.501231]
std: [0.778093, 0.292513, 0.764841, 0.743771, 1.394313, 0.438234]
pca: [[-0.372264, 0.594141, -0.038345, -0.444820, -0.090075, 0.548605, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141437, -0.201782, 0.235904, 0.548479, 0.401015, 0.649605, 0.000000, 0.000000, 0.000000, 0.000000], [0.397421, -0.077816, -0.252498, -0.461080, 0.743312, 0.084494, 0.000000, 0.000000, 0.000000, 0.000000], [0.373873, -0.356256, 0.611291, -0.413204, -0.319361, 0.294779, 0.000000, 0.000000, 0.000000, 0.000000], [0.707850, 0.601443, 0.052687, 0.341153, -0.096598, 0.093394, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206490, 0.334027, 0.708993, -0.039849, 0.408948, -0.417480, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.648226, 12.765333, 13.099014, 13.330115, 16.350253], [4.674791, 5.007252, 5.055289, 5.491388, 50.897452], [11.413405, 13.926223, 14.283396, 14.386340, 64.899432], [11.831883, 12.736319, 14.006429, 14.319952, 53.072683], [19.811182, 23.973514, 24.246741, 28.034133, 52.677138], [6.884276, 7.596215, 7.804500, 10.214524, 45.110804]]
### 6
mean: [-0.412451, -0.174126, 0.403981, 1.528857, 0.383744, -1.179170]
std: [0.475127, 1.366077, 0.817346, 1.380405, 0.728912, 0.638461]
pca: [[-0.196320, -0.311135, 0.465967, 0.073248, 0.621995, -0.505258, 0.000000, 0.000000, 0.000000, 0.000000], [-0.584733, -0.030046, -0.426957, 0.668553, -0.078369, -0.147607, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337616, -0.568973, 0.158123, -0.049437, 0.086126, 0.726237, 0.000000, 0.000000, 0.000000, 0.000000], [0.589405, -0.268567, 0.284291, 0.678771, -0.184532, 0.069786, 0.000000, 0.000000, 0.000000, 0.000000], [0.310226, 0.188061, -0.433762, 0.158517, 0.748489, 0.308026, 0.000000, 0.000000, 0.000000, 0.000000], [-0.248844, 0.686343, 0.553722, 0.243659, 0.072634, 0.309446, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.736108, 8.130832, 8.150848, 10.377092, 37.120553], [20.284908, 20.838654, 24.884151, 25.002489, 25.631187], [13.797304, 13.904345, 14.225024, 17.082081, 36.358323], [20.699613, 24.593112, 24.659346, 25.858528, 137.597104], [11.699958, 12.800693, 12.856065, 15.001285, 34.537003], [10.154889, 10.504408, 10.828675, 10.834427, 106.125338]]
### 8
mean: [1.439305, 1.801747, -1.662698, 0.284927, -0.570233, 1.757313]
std: [1.260230, 1.794710, 0.494619, 0.353287, 1.373628, 1.869494]
pca: [[0.394180, 0.112950, -0.354518, 0.669573, -0.490166, -0.132629, 0.000000, 0.000000, 0.000000, 0.000000], [0.557999, -0.359463, 0.731413, 0.070263, -0.094876, 0.102562, 0.000000, 0.000000, 0.000000, 0.000000], [0.065651, 0.736922, 0.273389, 0.318916, 0.355885, 0.386695, 0.000000, 0.000000, 0.000000, 0.000000], [0.070148, -0.449261, -0.214603, 0.449561, 0.736426, -0.052547, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425517, -0.336295, -0.005833, 0.256397, -0.269087, 0.753431, 0.000000, 0.000000, 0.000000, 0.000000], [0.585630, -0.006671, -0.467462, -0.420931, 0.096701, 0.501933, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.856665, 21.969088, 22.158843, 25.548061, 129.537477], [26.629977, 31.208158, 31.998812, 33.375928, 162.157207], [7.442115, 7.630516, 8.069909, 9.044117, 149.642826], [5.624799, 5.696776, 5.985891, 7.252583, 25.643445], [22.618180, 23.406929, 23.421614, 28.970976, 51.320985], [28.687276, 32.637519, 33.149829, 36.730792, 158.158165]]
### 10
mean: [3.808578, -1.682802, -1.157010, -1.223853, -1.691752, -1.353196]
std: [2.769645, 1.944785, 1.169851, 1.314758, 1.704960, 1.481313]
pca: [[0.625527, 0.510946, 0.209732, 0.348091, 0.395521, 0.161427, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439765, 0.241916, 0.841373, -0.148443, 0.012755, 0.134074, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264098, -0.234111, 0.092176, 0.412839, 0.560332, -0.618498, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293708, 0.572294, -0.184811, 0.486482, -0.503015, -0.249742, 0.000000, 0.000000, 0.000000, 0.000000], [-0.385708, -0.169923, -0.184765, 0.482283, 0.211299, 0.714824, 0.000000, 0.000000, 0.000000, 0.000000], [-0.332475, 0.518853, -0.413900, -0.465941, 0.481412, 0.009017, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.004038, 46.336415, 47.244174, 49.370455, 342.771944], [28.382571, 32.901133, 33.097149, 37.674200, 151.452177], [17.849306, 19.447805, 19.884473, 20.817895, 104.130900], [20.328228, 22.214817, 22.461400, 27.174529, 110.146780], [25.399047, 28.638023, 29.100289, 31.196889, 152.257683], [22.292251, 25.379719, 25.410045, 30.053366, 121.787634]]
### 12
mean: [-3.756420]
std: [2.872568]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.050628, 47.165768, 48.718900, 59.597934, 338.077796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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"num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.220499, -0.346931, -0.703007, 0.09101, -0.920801], [0.729329, 1.110058, 0.038982, 0.019996, 0.23953], [-0.628022, 0.289158, -0.194527, -0.708593, -0.86418], [-0.825038, -0.585873, -0.285954, -0.204343, -0.283997], [-0.83546, -0.47473, 0.046996, 0.351334, 0.711381], [0.778476, 0.82831, 0.488584, 0.02172, 0.008572]], "network.0.bias": [-0.681707, -0.020553, -0.783485, 0.330176, 0.516867, 0.133795], "network.2.weight": [[-0.132515, 0.367894, -0.043054, -0.318889, -0.46335, -0.046914], [0.14734, -0.222718, 0.46459, 0.842917, -0.716308, 0.114865], [0.191897, -0.147339, 0.304081, 0.741136, -0.732834, 0.077353], [-0.151192, -0.3111, 0.157613, -0.837035, 0.609907, -0.877473], [0.317836, -0.538189, 0.568488, -0.610859, 0.087158, -0.40748], [-0.087693, -0.703572, -0.175112, -1.185996, 0.582568, -0.951388]], "network.2.bias": [0.107667, -0.61701, -0.655103, 0.006988, -0.107488, 0.594766], "network.4.weight": [[-0.310707, 0.040415, 0.028713, 0.559406, -0.955713, 0.6708], [-0.255182, 0.023218, 0.204368, -0.059724, 0.357307, 0.11491], [0.493447, -0.147684, -0.438551, -0.232544, 0.52852, -0.532261], [0.383148, -0.483309, -0.632482, -0.588898, 0.380794, -0.416043], [1.123124, -0.399188, -0.712626, -0.698984, 0.138215, -0.025533], [-0.18485, -0.287645, -0.425443, 0.023086, -0.29145, 0.65296]], "network.4.bias": [0.031119, -0.327251, 0.375423, 0.280955, -0.375491, 0.469579], "network.6.weight": [[0.304708, 0.474087, -0.415047, -0.110465, 0.098409, 0.308598], [0.729424, -0.31933, -0.29558, -0.475231, -0.391826, 0.641939], [0.692848, -0.264015, -0.111253, -0.280247, -0.110684, 0.427336], [-0.860189, -0.096034, 0.544079, 0.951364, 0.216388, -0.004498], [-0.424478, 0.353757, 0.355287, 0.646365, -0.088605, -0.32011], [-0.141289, 0.732049, -1.153226, -0.530801, 0.298743, 0.081588]], "network.6.bias": [-0.233079, 0.195328, 0.432508, 0.569186, 0.075088, -0.245267], "network.8.weight": [[-0.370337, -0.491532, -0.219925, 0.470808, 0.471897, -0.11104], [-0.069092, -0.712169, 0.006839, 0.822485, 0.927594, -0.465245], [0.424937, -0.518832, -0.418912, -0.264417, 0.004766, 0.106639], [0.074656, 0.298348, -0.133604, 0.182877, 0.320379, -0.103383], [-0.08412, 0.702659, 0.443256, -0.455076, -0.300693, -0.062905], [-0.415466, -0.520665, -0.44469, 0.923167, 0.3123, -0.349164]], "network.8.bias": [0.729625, 0.332151, -0.900013, -0.164655, -0.154918, 0.484597], "network.10.weight": [[0.50181, 0.503055, -0.238983, -0.213847, -0.506479, 0.837223], [-0.548802, -0.19764, -0.061799, 0.354334, 0.581864, -0.571976], [-0.528961, -0.387336, -0.124407, 0.276431, 0.160957, 0.002425], [-0.546764, -0.007702, -0.016463, -0.204435, 0.627191, -0.246921], [-0.62641, -0.41586, 0.078803, 0.138632, 0.355838, -0.175456], [-0.415955, -0.567355, 0.093575, 0.041786, 0.635592, 0.09634]], "network.10.bias": [0.693636, 0.368693, 0.231223, -0.018193, 0.23705, 0.017033], "network.12.weight": [[-0.912215, 0.29763, 0.237155, 0.31004, 0.361396, 0.611643]], "network.12.bias": [-0.35321]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6879962980747223, "train_acc": 0.56, "val_loss": 0.6825014352798462, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6758580505847931, "train_acc": 0.575, "val_loss": 0.6373300552368164, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6625410914421082, "train_acc": 0.695, "val_loss": 0.6023622751235962, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5495255291461945, "train_acc": 0.775, "val_loss": 0.526850700378418, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.478188157081604, "train_acc": 0.815, "val_loss": 0.44923660159111023, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3354736566543579, "train_acc": 0.865, "val_loss": 0.468484103679657, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.26687584817409515, "train_acc": 0.88, "val_loss": 0.45082688331604004, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23920726776123047, "train_acc": 0.93, "val_loss": 0.4393690824508667, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.19532928615808487, "train_acc": 0.945, "val_loss": 0.42537298798561096, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1731604039669037, "train_acc": 0.945, "val_loss": 0.3186187148094177, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.18719381839036942, "train_acc": 0.925, "val_loss": 0.33013901114463806, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.19559624791145325, "train_acc": 0.93, "val_loss": 0.4239417314529419, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6825014352798462, "final_val_loss": 0.6373300552368164, "initial_val_acc": 0.56, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.6023622751235962, "final_val_loss": 0.4239417314529419, "initial_val_acc": 0.72, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.18000000000000005, "first_improvement_epoch": 1}}
|
18
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3870, "learning_rate": 0.09151949117007849, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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0.594378,
0.649775,
-0.416155,
-0.539615,
-0.333065,
0.240721
],
[
0.081531,
-0.106162,
-0.323086,
-0.066208,
0.446895,
0.754043,
0.425308,
-0.384974
]
],
"network.4.bias": [
0.006722,
-0.359391,
-0.891588,
-0.133995,
0.44233,
-0.049866,
-0.590047,
-0.579543
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[
0.236965,
0.175938,
1.182685,
0.407345,
0.09959,
0.200338,
0.812344,
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[
0.291863,
0.649384,
0.581104,
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}
## Activation Signature
### 0
mean: [5.080642, -1.539595, 4.763378, 1.734530, -1.969944, -1.392124, -2.133706, -0.719603]
std: [3.950550, 1.571821, 4.254181, 3.435730, 3.274867, 2.993100, 2.150435, 1.645908]
pca: [[0.516305, -0.304900, 0.330412, -0.100571, -0.218784, -0.497494, -0.240598, 0.409786, 0.000000, 0.000000], [0.079744, 0.117689, -0.175177, 0.656014, -0.421529, 0.019365, 0.460755, 0.358320, 0.000000, 0.000000], [0.552789, -0.322270, -0.374534, -0.204078, 0.361045, 0.384885, 0.321204, 0.164255, 0.000000, 0.000000], [0.364118, 0.430959, 0.680954, -0.069821, -0.042750, 0.362274, 0.243246, -0.144498, 0.000000, 0.000000], [-0.432685, -0.062313, 0.192572, -0.474794, 0.047209, -0.202759, 0.608973, 0.363592, 0.000000, 0.000000], [0.221955, 0.553964, -0.464046, -0.484315, -0.413232, -0.149031, -0.019150, -0.024971, 0.000000, 0.000000], [0.044349, 0.540757, -0.045466, 0.181387, 0.654145, -0.237428, -0.132444, 0.410886, 0.000000, 0.000000], [-0.224644, 0.020635, 0.040938, -0.141837, -0.203397, 0.594181, -0.422754, 0.595124, 0.000000, 0.000000]]
fourier: [[60.842639, 69.833921, 73.433306, 77.453661, 457.257798], [24.639745, 25.185546, 25.503284, 33.866488, 138.563559], [65.337158, 74.921515, 79.088747, 84.945307, 428.704031], [53.874087, 56.201343, 66.707190, 68.472599, 156.107731], [54.592060, 55.143356, 56.722917, 58.249017, 177.294985], [45.904142, 49.162504, 51.467119, 52.906133, 125.291187], [29.011411, 30.544452, 31.983080, 44.144747, 192.033517], [26.394299, 26.994240, 28.920198, 30.528239, 64.764264]]
### 2
mean: [7.616571, -4.785056, 1.766177, 0.770221, 10.606661, 13.044970, -11.360945, 6.638554]
std: [7.664183, 4.518165, 1.796702, 1.581030, 9.459572, 11.327801, 8.990890, 6.015951]
pca: [[0.373071, -0.361817, 0.039862, 0.749314, -0.029438, -0.397158, 0.077068, -0.048010, 0.000000, 0.000000], [-0.217172, 0.244053, -0.509825, 0.304672, 0.144264, 0.005189, 0.029076, 0.720308, 0.000000, 0.000000], [0.078637, 0.033804, 0.535810, 0.092179, -0.298177, 0.357767, 0.575196, 0.386429, 0.000000, 0.000000], [0.063965, 0.246740, 0.434916, 0.079611, 0.858245, -0.038648, 0.002183, 0.038140, 0.000000, 0.000000], [0.461207, 0.606332, -0.331789, 0.168160, -0.028118, 0.263159, 0.259863, -0.379100, 0.000000, 0.000000], [0.557795, -0.320641, -0.062991, -0.071943, 0.103673, 0.548705, -0.446723, 0.255975, 0.000000, 0.000000], [-0.441605, 0.171841, 0.223205, 0.538293, -0.149929, 0.419115, -0.436922, -0.216424, 0.000000, 0.000000], [0.290718, 0.497519, 0.313645, -0.087494, -0.344688, -0.408363, -0.452072, 0.268310, 0.000000, 0.000000]]
fourier: [[121.363158, 130.326536, 135.133285, 141.992321, 685.491412], [70.101396, 74.493438, 80.141541, 80.948060, 430.654993], [26.285863, 26.701339, 30.708191, 33.476568, 158.955960], [25.038526, 26.774077, 27.047976, 27.781317, 69.319845], [151.805849, 153.603878, 167.870148, 191.329988, 954.599506], [172.681533, 193.632166, 198.028998, 214.440473, 1174.047298], [138.409891, 153.004419, 164.164177, 171.277936, 1022.485039], [96.660586, 98.204868, 108.107417, 122.111031, 597.469900]]
### 4
mean: [8.636405, -9.895204, -22.469290, -6.687960, -11.137028, -16.969336, -3.443992, 11.430138]
std: [7.432002, 8.285045, 18.624760, 6.427578, 10.174336, 14.747100, 2.171511, 10.510304]
pca: [[-0.242827, -0.012856, 0.116301, -0.313267, 0.371742, 0.607450, 0.380645, 0.420867, 0.000000, 0.000000], [0.262738, 0.652516, -0.334629, 0.096177, -0.163053, -0.113003, 0.573854, 0.123693, 0.000000, 0.000000], [0.608453, 0.109078, -0.323401, -0.426218, 0.018462, 0.301542, -0.478324, 0.107586, 0.000000, 0.000000], [0.198349, 0.530320, 0.713008, 0.190784, 0.258243, 0.003236, -0.251092, 0.069943, 0.000000, 0.000000], [0.330902, -0.346387, 0.131518, -0.118087, 0.161988, -0.569679, 0.141870, 0.606941, 0.000000, 0.000000], [0.481371, -0.260240, 0.183243, -0.103207, 0.317475, 0.053865, 0.431035, -0.605677, 0.000000, 0.000000], [0.064464, -0.067765, -0.415680, 0.640257, 0.615076, 0.081171, -0.129319, 0.083079, 0.000000, 0.000000], [-0.342165, 0.297690, -0.194584, -0.489926, 0.512681, -0.439628, -0.106388, -0.221315, 0.000000, 0.000000]]
fourier: [[119.039732, 123.629213, 132.710636, 147.136453, 777.276463], [137.450303, 137.991684, 153.690732, 170.464401, 890.568350], [304.829618, 309.198699, 330.178437, 368.205300, 2022.235950], [98.303958, 99.016129, 117.334028, 121.362733, 601.916426], [155.654668, 173.898399, 177.476704, 191.874224, 1002.332492], [228.827106, 253.300367, 256.609043, 282.821416, 1527.240256], [35.651056, 38.230287, 42.129822, 47.914115, 309.959262], [160.071143, 181.247161, 182.141256, 200.095862, 1028.712362]]
### 6
mean: [6.316131, 6.499165, 1.530475, -5.544851, -19.689539, -13.632122, -11.372033, 14.624219]
std: [6.084147, 5.858537, 1.799361, 5.624118, 16.661776, 11.198639, 9.689472, 13.228012]
pca: [[-0.218092, 0.092114, 0.447788, -0.253670, 0.165561, -0.460132, 0.653162, 0.115484, 0.000000, 0.000000], [-0.210018, 0.186459, 0.305896, 0.068643, 0.080347, -0.256427, -0.592285, 0.632321, 0.000000, 0.000000], [-0.064347, 0.176012, -0.225701, 0.700880, 0.507472, 0.133022, 0.304279, 0.234301, 0.000000, 0.000000], [0.201404, -0.636035, -0.148939, -0.040615, 0.520824, -0.459703, -0.194255, -0.103651, 0.000000, 0.000000], [0.597397, -0.193053, 0.510332, -0.080595, 0.179242, 0.475866, 0.087672, 0.269538, 0.000000, 0.000000], [0.401403, 0.668407, 0.091730, -0.082310, 0.344092, -0.199008, -0.208440, -0.418888, 0.000000, 0.000000], [0.347405, -0.096433, 0.266121, 0.603913, -0.500280, -0.411137, 0.039498, -0.116641, 0.000000, 0.000000], [-0.474263, -0.167007, 0.541403, 0.245103, 0.191156, 0.241695, -0.198907, -0.509382, 0.000000, 0.000000]]
fourier: [[93.505508, 103.919004, 107.244286, 117.811444, 568.451795], [90.601632, 99.953995, 103.373389, 113.611157, 584.924779], [28.846950, 30.320964, 31.506883, 35.104013, 137.742726], [88.338152, 95.223418, 100.597244, 110.262801, 499.036592], [260.140830, 281.214797, 290.562980, 323.387381, 1772.058411], [172.882304, 190.088094, 192.667317, 214.762623, 1226.890801], [150.578946, 163.168123, 169.115273, 188.461960, 1023.482957], [203.832473, 225.829444, 230.981652, 255.020824, 1316.179661]]
### 8
mean: [9.151920, -2.294554, 5.430553, -26.359367, -29.943649, -7.801883, 16.035379, -23.370600]
std: [8.493247, 1.490202, 5.374950, 24.576475, 27.856186, 5.738768, 14.863427, 21.922333]
pca: [[-0.180300, 0.421929, -0.241717, -0.051424, -0.103499, -0.093960, 0.822758, 0.178676, 0.000000, 0.000000], [0.031572, 0.176658, -0.208876, -0.132799, 0.064244, 0.940304, -0.063728, 0.119044, 0.000000, 0.000000], [-0.114026, 0.444611, 0.154256, 0.849262, -0.028824, 0.087573, -0.115728, -0.149618, 0.000000, 0.000000], [0.521919, -0.050473, -0.239885, 0.243168, 0.698784, -0.108510, 0.091865, 0.316014, 0.000000, 0.000000], [0.591567, -0.162524, 0.089306, 0.196388, -0.657740, 0.063993, 0.097501, 0.361757, 0.000000, 0.000000], [0.121669, 0.582433, 0.570847, -0.339965, 0.107023, -0.103353, -0.205237, 0.374524, 0.000000, 0.000000], [-0.315638, 0.126553, -0.558126, 0.040620, -0.175164, -0.217877, -0.458003, 0.532242, 0.000000, 0.000000], [0.465523, 0.457038, -0.413833, -0.208684, -0.145852, -0.159091, -0.189157, -0.526531, 0.000000, 0.000000]]
fourier: [[130.574593, 146.225335, 150.253298, 165.109608, 823.672859], [23.862729, 24.468342, 25.333744, 28.277636, 206.509877], [83.320701, 93.381697, 95.939287, 104.158009, 488.749710], [379.532157, 417.858054, 430.188521, 475.494819, 2372.342815], [429.610047, 474.302150, 487.827242, 539.232546, 2694.928393], [88.491723, 95.551195, 97.042642, 109.685905, 702.169480], [228.479004, 253.613281, 260.111899, 287.748918, 1443.184107], [339.054985, 370.725544, 381.459067, 422.887733, 2103.353959]]
### 10
mean: [-26.229311, 19.478296, 5.459470, -13.526582, 9.953933, 1.242806, 8.701519, -1.735143]
std: [25.361740, 18.327040, 5.548193, 13.087987, 9.674029, 1.320458, 7.584009, 1.038720]
pca: [[0.694195, 0.407677, 0.452163, -0.105226, -0.163230, -0.277389, 0.180133, 0.018242, 0.000000, 0.000000], [-0.501640, 0.305515, 0.344212, -0.145372, -0.290913, 0.032063, 0.012208, 0.655435, 0.000000, 0.000000], [-0.151874, -0.008214, -0.203565, -0.261869, -0.134550, 0.035857, 0.909560, -0.142000, 0.000000, 0.000000], [0.358259, 0.112793, -0.147227, 0.098994, -0.060596, 0.870829, 0.052193, 0.250426, 0.000000, 0.000000], [-0.264767, 0.242197, 0.281717, 0.317668, -0.492850, 0.237702, -0.066922, -0.622157, 0.000000, 0.000000], [-0.035223, -0.396298, 0.559466, -0.598627, 0.173869, 0.304033, -0.074887, -0.205125, 0.000000, 0.000000], [-0.207328, 0.521938, 0.177026, 0.140554, 0.763977, 0.114742, 0.137931, -0.132855, 0.000000, 0.000000], [0.026614, -0.489428, 0.436174, 0.640622, 0.100781, -0.017140, 0.329042, 0.200968, 0.000000, 0.000000]]
fourier: [[390.135049, 435.609323, 447.170332, 492.282972, 2360.638127], [281.882699, 310.953803, 319.581188, 355.070734, 1753.046668], [85.427350, 94.776759, 97.408067, 107.680938, 491.352286], [201.296349, 224.192558, 230.124727, 253.840037, 1217.392339], [148.819974, 163.682053, 168.273130, 187.365998, 895.853895], [21.290685, 24.791577, 24.881354, 24.932087, 111.852539], [118.379217, 125.997951, 129.750731, 146.348257, 783.136766], [17.034716, 17.935065, 18.022219, 18.684429, 156.162886]]
### 12
mean: [-7.778320]
std: [8.670634]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[132.877470, 153.955724, 156.787869, 168.606575, 700.048844]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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1.515621,
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0.171496,
-0.205149
],
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-0.049033,
-0.835408
],
[
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-0.245737,
0.507799,
-0.203399
],
[
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0.806711,
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],
[
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],
[
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0.174964
],
[
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],
[
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-0.104506,
0.337333
]
],
"network.0.bias": [
0.294485,
-0.729471,
0.414307,
0.04551,
-0.138072,
-0.160013,
-0.497718,
0.681475
],
"network.2.weight": [
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0.886285,
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[
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[
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## Activation Signature
### 0
mean: [5.080642, -1.539595, 4.763378, 1.734530, -1.969944, -1.392124, -2.133706, -0.719603]
std: [3.950550, 1.571821, 4.254181, 3.435730, 3.274867, 2.993100, 2.150435, 1.645908]
pca: [[0.516305, -0.304900, 0.330412, -0.100571, -0.218784, -0.497494, -0.240598, 0.409786, 0.000000, 0.000000], [0.079744, 0.117689, -0.175177, 0.656014, -0.421529, 0.019365, 0.460755, 0.358320, 0.000000, 0.000000], [0.552789, -0.322270, -0.374534, -0.204078, 0.361045, 0.384885, 0.321204, 0.164255, 0.000000, 0.000000], [0.364118, 0.430959, 0.680954, -0.069821, -0.042750, 0.362274, 0.243246, -0.144498, 0.000000, 0.000000], [-0.432685, -0.062313, 0.192572, -0.474794, 0.047209, -0.202759, 0.608973, 0.363592, 0.000000, 0.000000], [0.221955, 0.553964, -0.464046, -0.484315, -0.413232, -0.149031, -0.019150, -0.024971, 0.000000, 0.000000], [0.044349, 0.540757, -0.045466, 0.181387, 0.654145, -0.237428, -0.132444, 0.410886, 0.000000, 0.000000], [-0.224644, 0.020635, 0.040938, -0.141837, -0.203397, 0.594181, -0.422754, 0.595124, 0.000000, 0.000000]]
fourier: [[60.842639, 69.833921, 73.433306, 77.453661, 457.257798], [24.639745, 25.185546, 25.503284, 33.866488, 138.563559], [65.337158, 74.921515, 79.088747, 84.945307, 428.704031], [53.874087, 56.201343, 66.707190, 68.472599, 156.107731], [54.592060, 55.143356, 56.722917, 58.249017, 177.294985], [45.904142, 49.162504, 51.467119, 52.906133, 125.291187], [29.011411, 30.544452, 31.983080, 44.144747, 192.033517], [26.394299, 26.994240, 28.920198, 30.528239, 64.764264]]
### 2
mean: [7.616571, -4.785056, 1.766177, 0.770221, 10.606661, 13.044970, -11.360945, 6.638554]
std: [7.664183, 4.518165, 1.796702, 1.581030, 9.459572, 11.327801, 8.990890, 6.015951]
pca: [[0.373071, -0.361817, 0.039862, 0.749314, -0.029438, -0.397158, 0.077068, -0.048010, 0.000000, 0.000000], [-0.217172, 0.244053, -0.509825, 0.304672, 0.144264, 0.005189, 0.029076, 0.720308, 0.000000, 0.000000], [0.078637, 0.033804, 0.535810, 0.092179, -0.298177, 0.357767, 0.575196, 0.386429, 0.000000, 0.000000], [0.063965, 0.246740, 0.434916, 0.079611, 0.858245, -0.038648, 0.002183, 0.038140, 0.000000, 0.000000], [0.461207, 0.606332, -0.331789, 0.168160, -0.028118, 0.263159, 0.259863, -0.379100, 0.000000, 0.000000], [0.557795, -0.320641, -0.062991, -0.071943, 0.103673, 0.548705, -0.446723, 0.255975, 0.000000, 0.000000], [-0.441605, 0.171841, 0.223205, 0.538293, -0.149929, 0.419115, -0.436922, -0.216424, 0.000000, 0.000000], [0.290718, 0.497519, 0.313645, -0.087494, -0.344688, -0.408363, -0.452072, 0.268310, 0.000000, 0.000000]]
fourier: [[121.363158, 130.326536, 135.133285, 141.992321, 685.491412], [70.101396, 74.493438, 80.141541, 80.948060, 430.654993], [26.285863, 26.701339, 30.708191, 33.476568, 158.955960], [25.038526, 26.774077, 27.047976, 27.781317, 69.319845], [151.805849, 153.603878, 167.870148, 191.329988, 954.599506], [172.681533, 193.632166, 198.028998, 214.440473, 1174.047298], [138.409891, 153.004419, 164.164177, 171.277936, 1022.485039], [96.660586, 98.204868, 108.107417, 122.111031, 597.469900]]
### 4
mean: [8.636405, -9.895204, -22.469290, -6.687960, -11.137028, -16.969336, -3.443992, 11.430138]
std: [7.432002, 8.285045, 18.624760, 6.427578, 10.174336, 14.747100, 2.171511, 10.510304]
pca: [[-0.242827, -0.012856, 0.116301, -0.313267, 0.371742, 0.607450, 0.380645, 0.420867, 0.000000, 0.000000], [0.262738, 0.652516, -0.334629, 0.096177, -0.163053, -0.113003, 0.573854, 0.123693, 0.000000, 0.000000], [0.608453, 0.109078, -0.323401, -0.426218, 0.018462, 0.301542, -0.478324, 0.107586, 0.000000, 0.000000], [0.198349, 0.530320, 0.713008, 0.190784, 0.258243, 0.003236, -0.251092, 0.069943, 0.000000, 0.000000], [0.330902, -0.346387, 0.131518, -0.118087, 0.161988, -0.569679, 0.141870, 0.606941, 0.000000, 0.000000], [0.481371, -0.260240, 0.183243, -0.103207, 0.317475, 0.053865, 0.431035, -0.605677, 0.000000, 0.000000], [0.064464, -0.067765, -0.415680, 0.640257, 0.615076, 0.081171, -0.129319, 0.083079, 0.000000, 0.000000], [-0.342165, 0.297690, -0.194584, -0.489926, 0.512681, -0.439628, -0.106388, -0.221315, 0.000000, 0.000000]]
fourier: [[119.039732, 123.629213, 132.710636, 147.136453, 777.276463], [137.450303, 137.991684, 153.690732, 170.464401, 890.568350], [304.829618, 309.198699, 330.178437, 368.205300, 2022.235950], [98.303958, 99.016129, 117.334028, 121.362733, 601.916426], [155.654668, 173.898399, 177.476704, 191.874224, 1002.332492], [228.827106, 253.300367, 256.609043, 282.821416, 1527.240256], [35.651056, 38.230287, 42.129822, 47.914115, 309.959262], [160.071143, 181.247161, 182.141256, 200.095862, 1028.712362]]
### 6
mean: [6.316131, 6.499165, 1.530475, -5.544851, -19.689539, -13.632122, -11.372033, 14.624219]
std: [6.084147, 5.858537, 1.799361, 5.624118, 16.661776, 11.198639, 9.689472, 13.228012]
pca: [[-0.218092, 0.092114, 0.447788, -0.253670, 0.165561, -0.460132, 0.653162, 0.115484, 0.000000, 0.000000], [-0.210018, 0.186459, 0.305896, 0.068643, 0.080347, -0.256427, -0.592285, 0.632321, 0.000000, 0.000000], [-0.064347, 0.176012, -0.225701, 0.700880, 0.507472, 0.133022, 0.304279, 0.234301, 0.000000, 0.000000], [0.201404, -0.636035, -0.148939, -0.040615, 0.520824, -0.459703, -0.194255, -0.103651, 0.000000, 0.000000], [0.597397, -0.193053, 0.510332, -0.080595, 0.179242, 0.475866, 0.087672, 0.269538, 0.000000, 0.000000], [0.401403, 0.668407, 0.091730, -0.082310, 0.344092, -0.199008, -0.208440, -0.418888, 0.000000, 0.000000], [0.347405, -0.096433, 0.266121, 0.603913, -0.500280, -0.411137, 0.039498, -0.116641, 0.000000, 0.000000], [-0.474263, -0.167007, 0.541403, 0.245103, 0.191156, 0.241695, -0.198907, -0.509382, 0.000000, 0.000000]]
fourier: [[93.505508, 103.919004, 107.244286, 117.811444, 568.451795], [90.601632, 99.953995, 103.373389, 113.611157, 584.924779], [28.846950, 30.320964, 31.506883, 35.104013, 137.742726], [88.338152, 95.223418, 100.597244, 110.262801, 499.036592], [260.140830, 281.214797, 290.562980, 323.387381, 1772.058411], [172.882304, 190.088094, 192.667317, 214.762623, 1226.890801], [150.578946, 163.168123, 169.115273, 188.461960, 1023.482957], [203.832473, 225.829444, 230.981652, 255.020824, 1316.179661]]
### 8
mean: [9.151920, -2.294554, 5.430553, -26.359367, -29.943649, -7.801883, 16.035379, -23.370600]
std: [8.493247, 1.490202, 5.374950, 24.576475, 27.856186, 5.738768, 14.863427, 21.922333]
pca: [[-0.180300, 0.421929, -0.241717, -0.051424, -0.103499, -0.093960, 0.822758, 0.178676, 0.000000, 0.000000], [0.031572, 0.176658, -0.208876, -0.132799, 0.064244, 0.940304, -0.063728, 0.119044, 0.000000, 0.000000], [-0.114026, 0.444611, 0.154256, 0.849262, -0.028824, 0.087573, -0.115728, -0.149618, 0.000000, 0.000000], [0.521919, -0.050473, -0.239885, 0.243168, 0.698784, -0.108510, 0.091865, 0.316014, 0.000000, 0.000000], [0.591567, -0.162524, 0.089306, 0.196388, -0.657740, 0.063993, 0.097501, 0.361757, 0.000000, 0.000000], [0.121669, 0.582433, 0.570847, -0.339965, 0.107023, -0.103353, -0.205237, 0.374524, 0.000000, 0.000000], [-0.315638, 0.126553, -0.558126, 0.040620, -0.175164, -0.217877, -0.458003, 0.532242, 0.000000, 0.000000], [0.465523, 0.457038, -0.413833, -0.208684, -0.145852, -0.159091, -0.189157, -0.526531, 0.000000, 0.000000]]
fourier: [[130.574593, 146.225335, 150.253298, 165.109608, 823.672859], [23.862729, 24.468342, 25.333744, 28.277636, 206.509877], [83.320701, 93.381697, 95.939287, 104.158009, 488.749710], [379.532157, 417.858054, 430.188521, 475.494819, 2372.342815], [429.610047, 474.302150, 487.827242, 539.232546, 2694.928393], [88.491723, 95.551195, 97.042642, 109.685905, 702.169480], [228.479004, 253.613281, 260.111899, 287.748918, 1443.184107], [339.054985, 370.725544, 381.459067, 422.887733, 2103.353959]]
### 10
mean: [-26.229311, 19.478296, 5.459470, -13.526582, 9.953933, 1.242806, 8.701519, -1.735143]
std: [25.361740, 18.327040, 5.548193, 13.087987, 9.674029, 1.320458, 7.584009, 1.038720]
pca: [[0.694195, 0.407677, 0.452163, -0.105226, -0.163230, -0.277389, 0.180133, 0.018242, 0.000000, 0.000000], [-0.501640, 0.305515, 0.344212, -0.145372, -0.290913, 0.032063, 0.012208, 0.655435, 0.000000, 0.000000], [-0.151874, -0.008214, -0.203565, -0.261869, -0.134550, 0.035857, 0.909560, -0.142000, 0.000000, 0.000000], [0.358259, 0.112793, -0.147227, 0.098994, -0.060596, 0.870829, 0.052193, 0.250426, 0.000000, 0.000000], [-0.264767, 0.242197, 0.281717, 0.317668, -0.492850, 0.237702, -0.066922, -0.622157, 0.000000, 0.000000], [-0.035223, -0.396298, 0.559466, -0.598627, 0.173869, 0.304033, -0.074887, -0.205125, 0.000000, 0.000000], [-0.207328, 0.521938, 0.177026, 0.140554, 0.763977, 0.114742, 0.137931, -0.132855, 0.000000, 0.000000], [0.026614, -0.489428, 0.436174, 0.640622, 0.100781, -0.017140, 0.329042, 0.200968, 0.000000, 0.000000]]
fourier: [[390.135049, 435.609323, 447.170332, 492.282972, 2360.638127], [281.882699, 310.953803, 319.581188, 355.070734, 1753.046668], [85.427350, 94.776759, 97.408067, 107.680938, 491.352286], [201.296349, 224.192558, 230.124727, 253.840037, 1217.392339], [148.819974, 163.682053, 168.273130, 187.365998, 895.853895], [21.290685, 24.791577, 24.881354, 24.932087, 111.852539], [118.379217, 125.997951, 129.750731, 146.348257, 783.136766], [17.034716, 17.935065, 18.022219, 18.684429, 156.162886]]
### 12
mean: [-7.778320]
std: [8.670634]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[132.877470, 153.955724, 156.787869, 168.606575, 700.048844]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.631735, 1.515621, 0.537823, 0.171496, -0.205149], [0.236407, 0.061999, -0.039163, -0.049033, -0.835408], [1.217722, 1.376842, -0.245737, 0.507799, -0.203399], [0.777511, 0.628708, 0.806711, -0.857229, -0.219764], [-1.066142, -0.812899, -0.036956, -0.032408, 0.910426], [1.036394, 0.448424, -0.763361, -0.914077, 0.174964], [0.74832, -0.568536, -0.00673, -0.508246, -0.346432], [-0.546453, -0.400312, -0.087858, -0.104506, 0.337333]], "network.0.bias": [0.294485, -0.729471, 0.414307, 0.04551, -0.138072, -0.160013, -0.497718, 0.681475], "network.2.weight": [[0.503373, 0.505248, 0.684689, 0.886285, -0.67857, 0.43449, 0.67252, -1.077241], [-0.245617, 0.450542, -0.50779, -0.900482, 0.25758, 0.55835, 0.407245, -0.549911], [0.065017, -0.996343, 0.221826, 0.391194, -0.701464, -0.510342, -0.245342, 0.520532], [-0.324885, -0.669835, 0.578145, 0.356214, -0.586829, -0.819235, -0.188635, 0.110813], [0.8586, -0.280192, 1.279209, 0.071747, -0.710258, 0.317731, 0.71523, -0.693063], [0.872896, 0.193195, 1.223789, 1.18562, -0.363191, 0.253057, 0.445332, -0.00428], [-0.7257, -0.554487, -1.022953, -0.819885, -0.443511, -0.280104, 0.20584, 0.495051], [0.508395, -0.182169, 0.886953, 0.25776, -0.780236, -0.558144, 0.045063, 0.005101]], "network.2.bias": [-0.074869, 0.613162, -0.160181, -0.562701, 0.087666, 0.068915, -0.84645, -0.213429], "network.4.weight": [[-0.208528, -0.223985, -0.63662, -0.130335, 0.395851, 0.488341, 0.776381, 0.141245], [0.676547, 0.082935, 0.419265, 0.074587, -0.646131, -0.198917, 0.120153, -0.922387], [0.240521, -0.828007, 0.833812, 0.698121, -1.414713, -0.715015, 0.203208, -0.183376], [-0.190134, -0.959405, -0.881268, -0.708294, 0.399605, 0.049518, -0.791603, -1.168486], [-0.321418, 0.474548, 0.315538, 0.406668, -0.487206, -0.516338, -0.542356, 0.286687], [-0.242677, 0.039127, 0.191033, 0.48465, -0.779818, -0.687791, -0.301279, 0.217477], [0.683953, -0.316072, 0.594378, 0.649775, -0.416155, -0.539615, -0.333065, 0.240721], [0.081531, -0.106162, -0.323086, -0.066208, 0.446895, 0.754043, 0.425308, -0.384974]], "network.4.bias": [0.006722, -0.359391, -0.891588, -0.133995, 0.44233, -0.049866, -0.590047, -0.579543], "network.6.weight": [[0.236965, 0.175938, 1.182685, 0.407345, 0.09959, 0.200338, 0.812344, 0.408743], [0.291863, 0.649384, 0.581104, 0.1295, -0.136147, -0.137245, 0.670671, 0.348022], [0.196974, 0.301034, 0.263376, -0.63752, 0.064836, 0.042246, 0.096033, 0.029933], [-0.49718, -0.374292, -0.668629, -0.168468, 0.410703, 0.19319, -1.163704, -0.177406], [-1.054383, 0.805277, 0.727107, 0.645253, -0.577829, 0.017724, 0.427456, -0.852561], [-0.337448, 0.9903, 1.499896, 0.556915, -0.160302, -0.102931, 1.206988, -0.841201], [-0.613813, 0.367957, 0.757513, -0.136996, -0.738259, -0.58063, 0.364203, -0.4974], [0.470609, 0.745681, 0.513356, -0.071277, -0.10456, -0.135003, 0.299193, 0.927321]], "network.6.bias": [-0.366487, 0.042089, -0.489414, 0.705455, -0.744038, -0.970453, -0.307637, -0.033698], "network.8.weight": [[0.419118, 0.609987, -0.205196, -0.664865, 0.356141, -0.010218, 0.276154, 0.201991], [0.220274, -0.176849, -0.227099, -0.067187, 0.574511, -0.014216, 0.79939, -0.1079], [-0.108218, 0.382367, 0.279188, -0.775114, 0.180393, 0.151423, 0.008061, 0.24148], [-0.919573, -1.071198, -0.860241, 0.662023, -0.936539, -0.333427, -0.1886, -0.846999], [-1.059341, -1.191054, -0.536929, 0.776437, -1.075273, 0.195827, -0.553705, -1.020322], [0.068801, 0.419874, 0.319999, -0.803488, 0.733951, -0.735454, 0.418741, -0.703698], [0.689688, 0.307464, -0.216908, -0.401537, 0.325855, -0.321658, 0.48001, 0.700122], [-0.282636, -0.68187, -1.147262, -0.027073, -0.602575, 0.777173, -0.121496, -1.079181]], "network.8.bias": [-0.052617, -0.580941, -0.241461, 0.112205, 0.229142, -1.043676, -0.237873, 0.446314], "network.10.weight": [[-1.12478, -0.093645, -0.677045, 0.512164, 0.682013, -0.445191, -0.817506, 0.503308], [0.622827, 0.120487, 0.457787, -0.407656, 0.083197, 0.250542, 0.723494, 0.24766], [0.219173, -0.27971, 0.183906, -0.019577, -0.3178, 0.187494, 0.184258, 0.350242], [-0.4505, -0.196186, -0.319192, 0.181491, 0.19692, -0.117995, -0.508039, 0.504791], [0.258282, 0.263989, 0.363584, 0.033914, -0.274521, 0.612341, 0.379347, 0.655049], [-0.337512, 0.467154, -0.261406, -0.855205, 0.015015, -0.73333, 0.359576, 0.202744], [0.230606, -0.022339, 0.503001, 0.171882, 0.344375, -0.094111, 0.212346, -0.093416], [-0.366326, 0.80126, -0.135181, -0.215505, -0.346296, 0.414944, 0.175381, -0.287978]], "network.10.bias": [0.823285, -0.454815, -0.539817, 0.471379, -0.554729, 0.180092, 0.246628, -0.216465], "network.12.weight": [[0.778072, -0.302002, -0.16117, 0.247261, -0.303093, -0.163831, 0.171149, 0.07482]], "network.12.bias": [0.390898]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6937294602394104, "train_acc": 0.59, "val_loss": 0.7323397994041443, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775420904159546, "train_acc": 0.59, "val_loss": 0.730404257774353, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6769945919513702, "train_acc": 0.59, "val_loss": 0.7275289297103882, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6424920558929443, "train_acc": 0.59, "val_loss": 0.5960880517959595, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5141805410385132, "train_acc": 0.62, "val_loss": 0.5114012360572815, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4598904252052307, "train_acc": 0.84, "val_loss": 0.40010884404182434, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.33820009231567383, "train_acc": 0.85, "val_loss": 0.3221936821937561, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.26154589653015137, "train_acc": 0.905, "val_loss": 0.26866415143013, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.26563283056020737, "train_acc": 0.925, "val_loss": 0.29999828338623047, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.24465572088956833, "train_acc": 0.915, "val_loss": 0.2517579197883606, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.20953716337680817, "train_acc": 0.91, "val_loss": 0.24219994246959686, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1866537630558014, "train_acc": 0.93, "val_loss": 0.18814407289028168, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.15584230422973633, "train_acc": 0.94, "val_loss": 0.1972932666540146, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.14407755434513092, "train_acc": 0.95, "val_loss": 0.21620923280715942, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7323397994041443, "final_val_loss": 0.5960880517959595, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5114012360572815, "final_val_loss": 0.21620923280715942, "initial_val_acc": 0.8, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 13}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
19
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3837, "learning_rate": 0.047130264798538976, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
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]
],
"network.10.bias": [
0.535845,
-0.032799,
0.14664,
-0.2164,
-0.034011
],
"network.12.weight": [
[
0.479158,
-0.344896,
0.363998,
0.001141,
-0.396859
]
],
"network.12.bias": [
-0.148698
]
}
## Activation Signature
### 0
mean: [0.365775, -1.568281, 2.741605, -2.713020, 0.360178]
std: [1.119061, 1.145679, 1.721641, 1.684213, 1.342594]
pca: [[0.101444, 0.519066, -0.075115, 0.793502, -0.291535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457211, 0.132396, -0.523631, 0.173888, 0.684837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642398, -0.398224, 0.137923, 0.380530, 0.514701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.606002, -0.406895, 0.557014, 0.396148, -0.000607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027447, 0.623615, 0.625204, -0.195914, 0.425544, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.040486, 16.358292, 17.280746, 19.715585, 32.919718], [18.972496, 19.463206, 19.508313, 20.576931, 141.145262], [27.613901, 29.799936, 30.622320, 30.892374, 246.744480], [24.813633, 27.156179, 28.030246, 29.128477, 244.171828], [20.208821, 21.587569, 21.888678, 26.099027, 32.416007]]
### 2
mean: [-0.960832, 0.298183, -0.318871, 1.886117, 1.798054]
std: [0.785571, 1.053202, 0.497421, 1.591684, 1.431324]
pca: [[-0.233193, -0.591376, 0.258671, 0.511220, -0.517338, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324515, 0.763052, -0.082241, 0.320069, -0.450814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194158, 0.182521, 0.691812, 0.351229, 0.571860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668123, 0.059554, -0.288110, 0.667558, 0.146371, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.596846, 0.176537, 0.603917, -0.259257, -0.425064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.791553, 12.822566, 13.082956, 13.737693, 86.474865], [16.186517, 16.263691, 19.546776, 23.327304, 26.836458], [6.760196, 7.757681, 9.571805, 10.336425, 28.698400], [26.670706, 26.901342, 27.360091, 28.851961, 169.750527], [23.370138, 24.188538, 24.376606, 24.504139, 161.824885]]
### 4
mean: [2.163490, 3.181105, 1.364519, -0.973560, -0.757340]
std: [1.926754, 2.531631, 1.130371, 1.096967, 0.741409]
pca: [[0.526170, 0.769150, 0.095689, 0.135939, -0.322361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.703192, -0.300091, 0.025946, 0.304126, 0.567715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.311260, -0.327929, 0.649729, -0.529617, -0.304858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304975, 0.003950, 0.684767, 0.661840, -0.006004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196908, 0.459129, 0.314828, -0.412919, 0.693404, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.486988, 31.448746, 31.587306, 32.422207, 194.714109], [38.450017, 39.701896, 44.899309, 49.881564, 286.299442], [16.350918, 17.810406, 20.699307, 22.869292, 122.806694], [17.379456, 17.575176, 18.829920, 21.344235, 87.620421], [10.718292, 11.352782, 14.236225, 16.145671, 68.160641]]
### 6
mean: [4.209902, 4.196198, -2.565808, 3.765676, 2.289174]
std: [3.033507, 2.807593, 2.303266, 2.887963, 1.808063]
pca: [[0.520624, -0.163125, 0.163772, -0.141985, 0.809543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481507, -0.467977, 0.536960, 0.011452, -0.510579, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395044, 0.233951, 0.758056, 0.407952, 0.219393, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494737, 0.835731, 0.107372, -0.098220, -0.188716, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.310286, -0.034756, -0.314126, 0.896458, 0.014226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.174910, 48.466664, 49.990813, 55.326208, 378.891147], [43.438832, 43.894916, 47.077820, 50.646175, 377.657736], [36.530118, 36.990981, 37.238694, 41.245193, 230.922723], [45.489196, 46.106488, 48.357894, 54.883571, 338.910804], [28.366532, 29.241946, 29.339932, 32.915898, 206.025677]]
### 8
mean: [6.100095, -1.587973, 0.010780, 7.856118, 9.153167]
std: [4.451805, 1.125158, 0.135491, 5.682131, 6.629657]
pca: [[0.451258, 0.007673, 0.696361, 0.274553, -0.485807, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113219, 0.979910, -0.038242, 0.147498, -0.061148, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013472, -0.155885, -0.374837, 0.913073, -0.036249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.575976, 0.050741, -0.609468, -0.252106, -0.480280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672025, 0.113324, 0.040803, 0.074867, 0.726822, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.859066, 70.479596, 75.120979, 80.393333, 549.008553], [17.580267, 17.804083, 18.918980, 21.507949, 142.917552], [2.137589, 2.221161, 2.229676, 2.272180, 2.339557], [87.791292, 89.718467, 96.347922, 102.790288, 707.050674], [102.347257, 104.676074, 112.316932, 119.776629, 823.784866]]
### 10
mean: [-3.003312, 11.201199, -1.414284, -0.166593, 11.529573]
std: [2.503079, 8.011230, 1.121663, 0.047466, 8.244330]
pca: [[-0.211785, 0.362034, -0.458513, -0.171827, 0.764408, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677869, 0.492643, 0.272254, -0.472803, 0.011513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094842, 0.524191, 0.470195, 0.684894, 0.161449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.001870, -0.513566, 0.614779, -0.164412, 0.575554, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697598, -0.296156, -0.341478, 0.500822, 0.241288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.702833, 39.088725, 42.822123, 44.977619, 270.298090], [123.878222, 124.600815, 138.549548, 142.607365, 1008.107934], [17.367511, 17.894091, 18.874419, 20.362863, 127.285581], [0.718523, 0.728760, 0.763928, 0.935217, 14.993407], [127.947491, 128.205516, 141.747847, 147.309775, 1037.661673]]
### 12
mean: [-8.600953]
std: [6.050368]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.449499, 94.271172, 103.463203, 108.639927, 774.085816]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.329822,
-0.134928,
-0.019674,
0.200833,
0.411601
],
[
0.188692,
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-0.325282,
-0.099707,
0.022645
],
[
-0.061554,
0.497388,
0.617765,
0.189394,
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],
[
0.261458,
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-0.278181,
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],
[
-0.445355,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
[
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0.027978,
0.55744
],
[
0.463196,
0.799489,
-0.136446,
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0.031952
],
[
-0.491763,
-0.114858,
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],
[
-0.128161,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.702667
],
[
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],
[
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],
[
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0.325902,
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]
],
"network.4.bias": [
-0.43179,
0.651612,
0.410821,
0.165919,
-0.300061
],
"network.6.weight": [
[
0.401831,
0.780632,
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],
[
0.296566,
0.810322,
0.409906,
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],
[
-0.696842,
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0.415601,
0.22668
],
[
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0.87132,
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],
[
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]
],
"network.6.bias": [
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0.256104,
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-0.033852
],
"network.8.weight": [
[
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-0.521129,
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0.824229
],
[
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0.019607
],
[
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],
[
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-0.400513,
0.625748,
0.188717
],
[
0.417609,
0.7276,
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0.773871
]
],
"network.8.bias": [
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0.243316,
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],
"network.10.weight": [
[
0.206795,
0.213642,
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],
[
0.282677,
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0.419245,
0.673655
],
[
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0.032668,
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0.195668
],
[
-0.391746,
-0.278101,
-0.141622,
0.28019,
0.024839
],
[
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0.789914
]
],
"network.10.bias": [
0.535845,
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],
"network.12.weight": [
[
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0.001141,
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]
],
"network.12.bias": [
-0.148698
]
}
## Activation Signature
### 0
mean: [0.365775, -1.568281, 2.741605, -2.713020, 0.360178]
std: [1.119061, 1.145679, 1.721641, 1.684213, 1.342594]
pca: [[0.101444, 0.519066, -0.075115, 0.793502, -0.291535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.457211, 0.132396, -0.523631, 0.173888, 0.684837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642398, -0.398224, 0.137923, 0.380530, 0.514701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.606002, -0.406895, 0.557014, 0.396148, -0.000607, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.027447, 0.623615, 0.625204, -0.195914, 0.425544, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.040486, 16.358292, 17.280746, 19.715585, 32.919718], [18.972496, 19.463206, 19.508313, 20.576931, 141.145262], [27.613901, 29.799936, 30.622320, 30.892374, 246.744480], [24.813633, 27.156179, 28.030246, 29.128477, 244.171828], [20.208821, 21.587569, 21.888678, 26.099027, 32.416007]]
### 2
mean: [-0.960832, 0.298183, -0.318871, 1.886117, 1.798054]
std: [0.785571, 1.053202, 0.497421, 1.591684, 1.431324]
pca: [[-0.233193, -0.591376, 0.258671, 0.511220, -0.517338, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324515, 0.763052, -0.082241, 0.320069, -0.450814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194158, 0.182521, 0.691812, 0.351229, 0.571860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668123, 0.059554, -0.288110, 0.667558, 0.146371, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.596846, 0.176537, 0.603917, -0.259257, -0.425064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.791553, 12.822566, 13.082956, 13.737693, 86.474865], [16.186517, 16.263691, 19.546776, 23.327304, 26.836458], [6.760196, 7.757681, 9.571805, 10.336425, 28.698400], [26.670706, 26.901342, 27.360091, 28.851961, 169.750527], [23.370138, 24.188538, 24.376606, 24.504139, 161.824885]]
### 4
mean: [2.163490, 3.181105, 1.364519, -0.973560, -0.757340]
std: [1.926754, 2.531631, 1.130371, 1.096967, 0.741409]
pca: [[0.526170, 0.769150, 0.095689, 0.135939, -0.322361, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.703192, -0.300091, 0.025946, 0.304126, 0.567715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.311260, -0.327929, 0.649729, -0.529617, -0.304858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.304975, 0.003950, 0.684767, 0.661840, -0.006004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196908, 0.459129, 0.314828, -0.412919, 0.693404, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.486988, 31.448746, 31.587306, 32.422207, 194.714109], [38.450017, 39.701896, 44.899309, 49.881564, 286.299442], [16.350918, 17.810406, 20.699307, 22.869292, 122.806694], [17.379456, 17.575176, 18.829920, 21.344235, 87.620421], [10.718292, 11.352782, 14.236225, 16.145671, 68.160641]]
### 6
mean: [4.209902, 4.196198, -2.565808, 3.765676, 2.289174]
std: [3.033507, 2.807593, 2.303266, 2.887963, 1.808063]
pca: [[0.520624, -0.163125, 0.163772, -0.141985, 0.809543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.481507, -0.467977, 0.536960, 0.011452, -0.510579, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.395044, 0.233951, 0.758056, 0.407952, 0.219393, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494737, 0.835731, 0.107372, -0.098220, -0.188716, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.310286, -0.034756, -0.314126, 0.896458, 0.014226, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.174910, 48.466664, 49.990813, 55.326208, 378.891147], [43.438832, 43.894916, 47.077820, 50.646175, 377.657736], [36.530118, 36.990981, 37.238694, 41.245193, 230.922723], [45.489196, 46.106488, 48.357894, 54.883571, 338.910804], [28.366532, 29.241946, 29.339932, 32.915898, 206.025677]]
### 8
mean: [6.100095, -1.587973, 0.010780, 7.856118, 9.153167]
std: [4.451805, 1.125158, 0.135491, 5.682131, 6.629657]
pca: [[0.451258, 0.007673, 0.696361, 0.274553, -0.485807, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.113219, 0.979910, -0.038242, 0.147498, -0.061148, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.013472, -0.155885, -0.374837, 0.913073, -0.036249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.575976, 0.050741, -0.609468, -0.252106, -0.480280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.672025, 0.113324, 0.040803, 0.074867, 0.726822, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.859066, 70.479596, 75.120979, 80.393333, 549.008553], [17.580267, 17.804083, 18.918980, 21.507949, 142.917552], [2.137589, 2.221161, 2.229676, 2.272180, 2.339557], [87.791292, 89.718467, 96.347922, 102.790288, 707.050674], [102.347257, 104.676074, 112.316932, 119.776629, 823.784866]]
### 10
mean: [-3.003312, 11.201199, -1.414284, -0.166593, 11.529573]
std: [2.503079, 8.011230, 1.121663, 0.047466, 8.244330]
pca: [[-0.211785, 0.362034, -0.458513, -0.171827, 0.764408, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677869, 0.492643, 0.272254, -0.472803, 0.011513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094842, 0.524191, 0.470195, 0.684894, 0.161449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.001870, -0.513566, 0.614779, -0.164412, 0.575554, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697598, -0.296156, -0.341478, 0.500822, 0.241288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.702833, 39.088725, 42.822123, 44.977619, 270.298090], [123.878222, 124.600815, 138.549548, 142.607365, 1008.107934], [17.367511, 17.894091, 18.874419, 20.362863, 127.285581], [0.718523, 0.728760, 0.763928, 0.935217, 14.993407], [127.947491, 128.205516, 141.747847, 147.309775, 1037.661673]]
### 12
mean: [-8.600953]
std: [6.050368]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.449499, 94.271172, 103.463203, 108.639927, 774.085816]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6797839999198914, "train_acc": 0.58, "val_loss": 0.7117758393287659, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6763055920600891, "train_acc": 0.58, "val_loss": 0.7181018590927124, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6756036579608917, "train_acc": 0.58, "val_loss": 0.714040219783783, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6465989351272583, "train_acc": 0.58, "val_loss": 0.6691365242004395, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.605568528175354, "train_acc": 0.51, "val_loss": 0.5184192657470703, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.47679001092910767, "train_acc": 0.67, "val_loss": 0.418435662984848, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.45369385182857513, "train_acc": 0.84, "val_loss": 0.33892524242401123, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.41978077590465546, "train_acc": 0.805, "val_loss": 0.3563140034675598, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.47679539024829865, "train_acc": 0.775, "val_loss": 0.339590847492218, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3985418677330017, "train_acc": 0.805, "val_loss": 0.3374539911746979, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3735351711511612, "train_acc": 0.84, "val_loss": 0.339142769575119, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4431319534778595, "train_acc": 0.835, "val_loss": 0.3394036591053009, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3787548840045929, "train_acc": 0.84, "val_loss": 0.35447657108306885, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7117758393287659, "final_val_loss": 0.6691365242004395, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5184192657470703, "final_val_loss": 0.35447657108306885, "initial_val_acc": 0.46, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.42, "first_improvement_epoch": 3}}
|
20
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.78, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7287, "learning_rate": 0.028993303041424494, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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]
}
## Activation Signature
### 0
mean: [1.657182, 1.451258, 0.019186, 1.269348, 1.176795, 0.756020, 0.001245]
std: [1.822303, 1.729931, 1.093266, 1.868068, 2.177831, 1.537799, 1.024464]
pca: [[0.446832, -0.202232, 0.473696, 0.598139, -0.391523, -0.148476, 0.044154, 0.000000, 0.000000, 0.000000], [0.381657, 0.508435, -0.101346, -0.067122, -0.294659, 0.685590, 0.155559, 0.000000, 0.000000, 0.000000], [0.160558, 0.317208, -0.410774, 0.582219, 0.381614, -0.058677, -0.465633, 0.000000, 0.000000, 0.000000], [-0.340473, 0.602239, 0.662752, -0.027553, 0.058507, -0.075685, -0.268766, 0.000000, 0.000000, 0.000000], [0.589237, 0.023236, 0.286692, -0.255360, 0.673459, -0.085978, 0.209570, 0.000000, 0.000000, 0.000000], [0.382288, 0.249265, -0.200247, -0.421603, -0.396550, -0.570459, -0.301991, 0.000000, 0.000000, 0.000000], [-0.140118, 0.417864, -0.187279, 0.234582, -0.005868, -0.407351, 0.741407, 0.000000, 0.000000, 0.000000]]
fourier: [[29.183296, 30.067566, 33.576817, 35.307332, 149.146357], [26.076312, 28.902707, 29.532440, 31.090153, 130.613209], [15.806397, 17.211236, 17.815458, 19.546183, 22.725510], [29.185279, 29.493665, 29.633649, 32.151356, 114.241326], [33.538308, 34.951186, 39.157188, 42.102289, 105.911522], [22.701286, 26.097639, 26.952111, 30.805215, 68.041800], [15.637886, 15.974402, 16.305955, 16.447595, 18.549640]]
### 2
mean: [1.253661, 1.484144, 2.003333, 2.113501, -2.011029, 0.245396, -1.911211]
std: [1.302310, 1.896972, 1.410314, 2.834206, 0.932799, 0.908625, 0.932249]
pca: [[0.321658, -0.099168, 0.836155, 0.216364, -0.029865, -0.021679, -0.373325, 0.000000, 0.000000, 0.000000], [0.487148, -0.026677, 0.212343, -0.373664, -0.113726, 0.327832, 0.675909, 0.000000, 0.000000, 0.000000], [0.307552, -0.450916, -0.237108, 0.746895, 0.054351, -0.058889, 0.285645, 0.000000, 0.000000, 0.000000], [0.726205, 0.135428, -0.428112, -0.174115, 0.096976, 0.033518, -0.479753, 0.000000, 0.000000, 0.000000], [0.009738, 0.576634, -0.059642, 0.403498, -0.615176, 0.349779, -0.015614, 0.000000, 0.000000, 0.000000], [-0.190402, -0.327117, -0.046752, 0.012168, 0.203010, 0.868830, -0.241513, 0.000000, 0.000000, 0.000000], [0.030241, 0.572953, 0.102530, 0.249870, 0.744421, 0.101260, 0.182884, 0.000000, 0.000000, 0.000000]]
fourier: [[18.883243, 20.156743, 22.224667, 25.673129, 112.829514], [28.893376, 29.313054, 32.080828, 35.490825, 133.572990], [23.030709, 25.076461, 25.440476, 27.789434, 180.299999], [42.152531, 44.319273, 48.756159, 49.832720, 190.215064], [13.007152, 14.454775, 14.553915, 15.204748, 180.992590], [14.492197, 15.410111, 15.560864, 15.697057, 22.085675], [13.601792, 13.771766, 14.740888, 15.758607, 172.009036]]
### 4
mean: [1.864850, 1.997177, 0.818977, 0.910445, 2.226022, 1.028282, 0.769614]
std: [2.204441, 2.260133, 0.827134, 1.422372, 2.707832, 1.492014, 1.022147]
pca: [[0.460024, 0.102192, -0.102737, -0.407204, 0.617266, -0.111609, -0.456169, 0.000000, 0.000000, 0.000000], [0.468613, -0.447173, 0.682226, 0.051318, -0.062160, 0.329303, 0.008256, 0.000000, 0.000000, 0.000000], [0.168346, -0.304918, -0.061260, -0.536048, -0.539150, -0.544882, -0.002473, 0.000000, 0.000000, 0.000000], [0.286082, 0.693958, 0.253988, 0.203973, -0.436135, -0.095985, -0.361991, 0.000000, 0.000000, 0.000000], [0.564916, -0.126281, -0.337824, 0.574396, 0.075680, -0.358121, 0.294769, 0.000000, 0.000000, 0.000000], [0.307838, 0.407073, -0.068964, -0.415479, -0.020740, 0.301214, 0.686286, 0.000000, 0.000000, 0.000000], [0.211430, -0.182714, -0.580404, -0.006722, -0.357861, 0.594990, -0.320812, 0.000000, 0.000000, 0.000000]]
fourier: [[33.212317, 35.900072, 35.979582, 39.372039, 167.836558], [34.335949, 35.075732, 39.620752, 42.070712, 179.745945], [12.754688, 12.916888, 14.224538, 16.179871, 73.707905], [21.629322, 23.647370, 24.124930, 24.542294, 81.940025], [40.152182, 42.848446, 47.711973, 48.252535, 200.341977], [22.634602, 23.402958, 25.155138, 25.290945, 92.545397], [15.991143, 16.376751, 18.419379, 18.732873, 69.265254]]
### 6
mean: [2.694191, -0.930518, 3.183980, -0.699278, 3.999627, -1.375389, -0.878183]
std: [3.732512, 0.873194, 3.946416, 0.800872, 5.035370, 1.647574, 0.901097]
pca: [[0.482793, -0.381550, -0.422239, -0.098727, -0.002693, 0.647363, 0.119212, 0.000000, 0.000000, 0.000000], [-0.111657, 0.621370, 0.215550, 0.286362, -0.227619, 0.645374, -0.068183, 0.000000, 0.000000, 0.000000], [0.510546, 0.083378, 0.634188, -0.185153, 0.054821, -0.045292, 0.539313, 0.000000, 0.000000, 0.000000], [-0.103472, -0.046483, 0.332803, -0.516470, 0.534963, 0.281321, -0.494274, 0.000000, 0.000000, 0.000000], [0.651433, 0.329713, -0.139964, 0.330777, 0.286430, -0.250193, -0.439640, 0.000000, 0.000000, 0.000000], [-0.212958, 0.313037, -0.335533, 0.063470, 0.696850, 0.044524, 0.502457, 0.000000, 0.000000, 0.000000], [-0.115603, -0.502498, 0.360732, 0.702699, 0.302241, 0.136533, -0.015080, 0.000000, 0.000000, 0.000000]]
fourier: [[58.986720, 60.589683, 63.682539, 66.383000, 242.477202], [13.341144, 13.891620, 15.877976, 16.051615, 83.746592], [62.485230, 64.875890, 66.434679, 68.942776, 286.558194], [13.042086, 13.047688, 13.051631, 14.502308, 62.934989], [80.918060, 82.876358, 83.933609, 88.502556, 359.966427], [25.311612, 26.563179, 28.426061, 29.185271, 123.785035], [14.705882, 15.089777, 15.210752, 15.656558, 79.036489]]
### 8
mean: [-3.040981]
std: [4.391700]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.309891, 71.636229, 74.564451, 77.392065, 273.688250]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.202356,
0.122405,
0.002261,
-0.247404
],
[
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0.277539,
0.216844,
-0.724233
],
[
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-0.150048,
0.248915,
0.179984,
-0.600616
],
[
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0.366354,
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],
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## Activation Signature
### 0
mean: [1.657182, 1.451258, 0.019186, 1.269348, 1.176795, 0.756020, 0.001245]
std: [1.822303, 1.729931, 1.093266, 1.868068, 2.177831, 1.537799, 1.024464]
pca: [[0.446832, -0.202232, 0.473696, 0.598139, -0.391523, -0.148476, 0.044154, 0.000000, 0.000000, 0.000000], [0.381657, 0.508435, -0.101346, -0.067122, -0.294659, 0.685590, 0.155559, 0.000000, 0.000000, 0.000000], [0.160558, 0.317208, -0.410774, 0.582219, 0.381614, -0.058677, -0.465633, 0.000000, 0.000000, 0.000000], [-0.340473, 0.602239, 0.662752, -0.027553, 0.058507, -0.075685, -0.268766, 0.000000, 0.000000, 0.000000], [0.589237, 0.023236, 0.286692, -0.255360, 0.673459, -0.085978, 0.209570, 0.000000, 0.000000, 0.000000], [0.382288, 0.249265, -0.200247, -0.421603, -0.396550, -0.570459, -0.301991, 0.000000, 0.000000, 0.000000], [-0.140118, 0.417864, -0.187279, 0.234582, -0.005868, -0.407351, 0.741407, 0.000000, 0.000000, 0.000000]]
fourier: [[29.183296, 30.067566, 33.576817, 35.307332, 149.146357], [26.076312, 28.902707, 29.532440, 31.090153, 130.613209], [15.806397, 17.211236, 17.815458, 19.546183, 22.725510], [29.185279, 29.493665, 29.633649, 32.151356, 114.241326], [33.538308, 34.951186, 39.157188, 42.102289, 105.911522], [22.701286, 26.097639, 26.952111, 30.805215, 68.041800], [15.637886, 15.974402, 16.305955, 16.447595, 18.549640]]
### 2
mean: [1.253661, 1.484144, 2.003333, 2.113501, -2.011029, 0.245396, -1.911211]
std: [1.302310, 1.896972, 1.410314, 2.834206, 0.932799, 0.908625, 0.932249]
pca: [[0.321658, -0.099168, 0.836155, 0.216364, -0.029865, -0.021679, -0.373325, 0.000000, 0.000000, 0.000000], [0.487148, -0.026677, 0.212343, -0.373664, -0.113726, 0.327832, 0.675909, 0.000000, 0.000000, 0.000000], [0.307552, -0.450916, -0.237108, 0.746895, 0.054351, -0.058889, 0.285645, 0.000000, 0.000000, 0.000000], [0.726205, 0.135428, -0.428112, -0.174115, 0.096976, 0.033518, -0.479753, 0.000000, 0.000000, 0.000000], [0.009738, 0.576634, -0.059642, 0.403498, -0.615176, 0.349779, -0.015614, 0.000000, 0.000000, 0.000000], [-0.190402, -0.327117, -0.046752, 0.012168, 0.203010, 0.868830, -0.241513, 0.000000, 0.000000, 0.000000], [0.030241, 0.572953, 0.102530, 0.249870, 0.744421, 0.101260, 0.182884, 0.000000, 0.000000, 0.000000]]
fourier: [[18.883243, 20.156743, 22.224667, 25.673129, 112.829514], [28.893376, 29.313054, 32.080828, 35.490825, 133.572990], [23.030709, 25.076461, 25.440476, 27.789434, 180.299999], [42.152531, 44.319273, 48.756159, 49.832720, 190.215064], [13.007152, 14.454775, 14.553915, 15.204748, 180.992590], [14.492197, 15.410111, 15.560864, 15.697057, 22.085675], [13.601792, 13.771766, 14.740888, 15.758607, 172.009036]]
### 4
mean: [1.864850, 1.997177, 0.818977, 0.910445, 2.226022, 1.028282, 0.769614]
std: [2.204441, 2.260133, 0.827134, 1.422372, 2.707832, 1.492014, 1.022147]
pca: [[0.460024, 0.102192, -0.102737, -0.407204, 0.617266, -0.111609, -0.456169, 0.000000, 0.000000, 0.000000], [0.468613, -0.447173, 0.682226, 0.051318, -0.062160, 0.329303, 0.008256, 0.000000, 0.000000, 0.000000], [0.168346, -0.304918, -0.061260, -0.536048, -0.539150, -0.544882, -0.002473, 0.000000, 0.000000, 0.000000], [0.286082, 0.693958, 0.253988, 0.203973, -0.436135, -0.095985, -0.361991, 0.000000, 0.000000, 0.000000], [0.564916, -0.126281, -0.337824, 0.574396, 0.075680, -0.358121, 0.294769, 0.000000, 0.000000, 0.000000], [0.307838, 0.407073, -0.068964, -0.415479, -0.020740, 0.301214, 0.686286, 0.000000, 0.000000, 0.000000], [0.211430, -0.182714, -0.580404, -0.006722, -0.357861, 0.594990, -0.320812, 0.000000, 0.000000, 0.000000]]
fourier: [[33.212317, 35.900072, 35.979582, 39.372039, 167.836558], [34.335949, 35.075732, 39.620752, 42.070712, 179.745945], [12.754688, 12.916888, 14.224538, 16.179871, 73.707905], [21.629322, 23.647370, 24.124930, 24.542294, 81.940025], [40.152182, 42.848446, 47.711973, 48.252535, 200.341977], [22.634602, 23.402958, 25.155138, 25.290945, 92.545397], [15.991143, 16.376751, 18.419379, 18.732873, 69.265254]]
### 6
mean: [2.694191, -0.930518, 3.183980, -0.699278, 3.999627, -1.375389, -0.878183]
std: [3.732512, 0.873194, 3.946416, 0.800872, 5.035370, 1.647574, 0.901097]
pca: [[0.482793, -0.381550, -0.422239, -0.098727, -0.002693, 0.647363, 0.119212, 0.000000, 0.000000, 0.000000], [-0.111657, 0.621370, 0.215550, 0.286362, -0.227619, 0.645374, -0.068183, 0.000000, 0.000000, 0.000000], [0.510546, 0.083378, 0.634188, -0.185153, 0.054821, -0.045292, 0.539313, 0.000000, 0.000000, 0.000000], [-0.103472, -0.046483, 0.332803, -0.516470, 0.534963, 0.281321, -0.494274, 0.000000, 0.000000, 0.000000], [0.651433, 0.329713, -0.139964, 0.330777, 0.286430, -0.250193, -0.439640, 0.000000, 0.000000, 0.000000], [-0.212958, 0.313037, -0.335533, 0.063470, 0.696850, 0.044524, 0.502457, 0.000000, 0.000000, 0.000000], [-0.115603, -0.502498, 0.360732, 0.702699, 0.302241, 0.136533, -0.015080, 0.000000, 0.000000, 0.000000]]
fourier: [[58.986720, 60.589683, 63.682539, 66.383000, 242.477202], [13.341144, 13.891620, 15.877976, 16.051615, 83.746592], [62.485230, 64.875890, 66.434679, 68.942776, 286.558194], [13.042086, 13.047688, 13.051631, 14.502308, 62.934989], [80.918060, 82.876358, 83.933609, 88.502556, 359.966427], [25.311612, 26.563179, 28.426061, 29.185271, 123.785035], [14.705882, 15.089777, 15.210752, 15.656558, 79.036489]]
### 8
mean: [-3.040981]
std: [4.391700]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.309891, 71.636229, 74.564451, 77.392065, 273.688250]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.787046, 0.202356, 0.122405, 0.002261, -0.247404], [0.133022, 0.423807, 0.277539, 0.216844, -0.724233], [0.147653, -0.150048, 0.248915, 0.179984, -0.600616], [-0.642198, -0.219647, 0.366354, 0.561554, 0.228442], [0.660527, 0.667597, -0.077255, 0.045798, -0.500866], [0.164407, 0.566779, 0.049469, -0.01871, -0.549207], [-0.334593, -0.232677, 0.265599, 0.250407, -0.209836]], "network.0.bias": [0.353601, 0.361912, -0.056301, 0.217535, -0.180803, 0.132769, 0.008623], "network.2.weight": [[0.487554, 0.195431, 0.460795, -0.187433, -0.078491, 0.167895, 0.237775], [0.395906, -0.021978, 0.387697, -0.233166, 0.414763, 0.269343, 0.332881], [0.211649, 0.418915, 0.344426, 0.166532, 0.005725, 0.382885, 0.022576], [0.453236, 0.264592, 0.32933, -0.388602, 0.553512, 0.340861, -0.273716], [-0.166896, -0.104247, -0.39166, -0.592799, 0.162879, -0.174721, 0.091314], [-0.025122, -0.004355, -0.16003, 0.394047, -0.287226, 0.151729, 0.164691], [-0.003091, -0.3924, 0.181511, -0.478952, -0.082639, 0.304879, -0.310788]], "network.2.bias": [0.172421, 0.195441, 0.269574, 0.453936, -0.656941, -0.044445, -0.709189], "network.4.weight": [[0.573738, 0.100444, -0.104485, 0.499074, -0.37702, -0.237361, 0.212957], [0.529855, 0.208229, 0.35885, 0.238586, -0.282657, -0.394015, -0.353499], [0.240829, 0.265427, 0.066199, -0.007792, -0.505711, 0.133063, -0.151084], [0.089587, 0.27582, -0.167164, 0.273523, -0.148443, -0.63479, -0.389174], [0.247969, 0.244593, 0.174949, 0.601197, -0.114242, -0.268503, -0.430552], [0.315275, 0.238199, -0.22118, 0.297397, -0.017537, -0.302783, -0.255928], [0.01116, 0.273857, 0.025166, 0.183317, 0.004578, 0.153129, -0.22884]], "network.4.bias": [0.229377, -0.053707, -0.074814, 0.33464, -0.003171, 0.177178, -0.166235], "network.6.weight": [[0.303541, 0.466296, -0.024781, 0.32059, 0.231714, 0.382696, 0.424847], [0.019054, -0.257699, 0.049313, -0.108328, -0.169373, 0.240027, -0.115643], [0.266708, 0.234423, -0.061242, 0.573504, 0.562622, 0.394518, 0.026632], [-0.414871, 0.060949, -0.144456, 0.080584, 0.071746, -0.099098, -0.052338], [0.451665, 0.167932, 0.512617, 0.626716, 0.468449, 0.772992, 0.019651], [-0.291905, -0.16402, 0.312659, -0.060395, -0.268697, 0.017093, -0.102469], [0.023311, 0.285594, -0.430792, -0.160941, -0.116373, -0.305678, -0.255787]], "network.6.bias": [-0.257143, -0.182929, 0.091427, -0.056594, 0.06094, -0.050257, -0.26893], "network.8.weight": [[-0.340617, -0.05718, -0.405064, -0.023496, -0.299167, 0.058771, -0.064435]], "network.8.bias": [0.319384]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7199861109256744, "train_acc": 0.4, "val_loss": 0.6649367809295654, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6695752441883087, "train_acc": 0.56, "val_loss": 0.6705575585365295, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6371652483940125, "train_acc": 0.6, "val_loss": 0.6645624041557312, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5823031663894653, "train_acc": 0.6, "val_loss": 0.6445803046226501, "val_acc": 0.42}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5608605146408081, "train_acc": 0.62, "val_loss": 0.6194741725921631, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5742862224578857, "train_acc": 0.66, "val_loss": 0.5965467095375061, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5235128104686737, "train_acc": 0.73, "val_loss": 0.6035088300704956, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5173395872116089, "train_acc": 0.75, "val_loss": 0.5666106343269348, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4707868695259094, "train_acc": 0.755, "val_loss": 0.5367974638938904, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.47492025792598724, "train_acc": 0.745, "val_loss": 0.5411702990531921, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.45256899297237396, "train_acc": 0.76, "val_loss": 0.5506811738014221, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4565444737672806, "train_acc": 0.775, "val_loss": 0.55231112241745, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 5, "improved_epochs": 7, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6649367809295654, "final_val_loss": 0.6194741725921631, "initial_val_acc": 0.7, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5965467095375061, "final_val_loss": 0.55231112241745, "initial_val_acc": 0.76, "final_val_acc": 0.74, "best_val_acc": 0.78, "best_epoch": 8}, "improvement": 0.24, "first_improvement_epoch": 4}}
|
21
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1291, "learning_rate": 0.05445951689049968, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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],
[
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],
[
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],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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],
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"network.8.weight": [
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[
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[
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"network.8.bias": [
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"network.10.weight": [
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[
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[
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[
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.623352, 0.895198, 1.761612, 0.797330, 0.460298]
std: [1.243183, 1.508072, 1.817657, 1.212494, 1.120466]
pca: [[-0.052496, 0.836277, -0.162389, 0.109541, 0.509427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.536498, -0.429447, -0.353523, 0.089994, 0.628225, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.694800, 0.240244, 0.285486, 0.511155, -0.341695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.364646, -0.116575, -0.534966, 0.732719, -0.174292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306106, -0.211918, 0.693513, 0.426317, 0.445740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.127876, 20.451733, 21.963715, 23.139021, 56.101712], [24.681785, 26.911798, 27.049295, 28.819593, 80.567807], [26.419365, 30.291248, 34.144580, 38.283782, 158.545105], [17.692585, 18.876428, 19.310181, 22.880309, 71.759674], [17.285767, 17.354644, 20.816901, 24.402047, 41.426842]]
### 2
mean: [1.643654, 2.019635, -1.146778, 0.191658, 1.839916]
std: [2.459835, 0.789759, 0.830357, 0.871328, 1.605833]
pca: [[0.782498, -0.045365, 0.297759, -0.282272, -0.466155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.201484, 0.613258, -0.057722, 0.734061, -0.202834, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208966, -0.409401, 0.768793, 0.436566, -0.084216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206419, 0.670441, 0.553176, -0.407848, 0.188565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.510711, -0.068968, 0.104699, 0.156675, 0.836008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.059244, 41.290749, 44.453317, 55.553457, 147.928845], [11.670945, 12.987332, 15.988987, 16.096091, 181.767186], [15.023167, 16.187617, 18.106785, 19.041199, 103.209975], [14.562121, 15.597647, 16.006685, 16.219943, 17.249191], [25.771680, 26.962861, 29.580818, 36.335265, 165.592393]]
### 4
mean: [0.574567, -0.269174, 2.183996, 2.582149, 0.605656]
std: [1.296057, 0.093502, 2.087787, 2.682106, 0.448872]
pca: [[-0.337294, 0.920247, 0.147176, 0.078570, 0.107446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010393, -0.139214, -0.045279, 0.520136, 0.841380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573662, 0.215118, -0.113293, 0.681148, -0.384499, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737522, 0.221082, 0.299830, -0.449377, 0.339627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114448, -0.196500, 0.934642, 0.239550, -0.131717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.174591, 22.269199, 22.868564, 27.363989, 51.711032], [1.435117, 1.513349, 1.585349, 1.603280, 24.225680], [34.386944, 36.417353, 37.821899, 47.094482, 196.559678], [46.181405, 46.552915, 49.673967, 60.930896, 232.393389], [7.142489, 7.214124, 8.084325, 9.162946, 54.509058]]
### 6
mean: [1.287769, 1.079573, 2.245619, -0.587748, 1.513299]
std: [2.491751, 1.946427, 3.077305, 0.162383, 2.780532]
pca: [[0.477724, 0.095796, 0.826158, -0.215244, -0.183673, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.373204, -0.189586, -0.035030, 0.859068, -0.292490, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.590074, -0.165907, -0.524388, -0.446271, -0.387488, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006959, 0.931920, -0.149650, 0.094874, -0.316354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.533163, 0.242651, -0.137324, 0.086676, 0.794032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.200064, 43.816011, 44.043442, 55.718507, 115.899190], [33.307085, 33.409752, 34.581740, 43.664112, 97.161604], [52.544574, 52.666296, 55.135902, 69.132747, 202.105725], [2.303144, 2.332141, 2.349734, 2.495042, 52.897360], [46.919972, 48.031376, 49.448309, 62.254579, 136.196857]]
### 8
mean: [2.753691, 0.869107, 1.871999, 0.159453, 3.068230]
std: [3.651548, 0.505911, 2.852003, 0.360994, 4.492459]
pca: [[0.563264, -0.306689, -0.482811, -0.365292, 0.471307, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.077271, -0.628714, -0.354962, 0.475988, -0.496171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439812, 0.638541, -0.366222, -0.036078, -0.513236, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.055431, 0.301382, -0.207374, 0.772460, 0.516137, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693005, -0.109978, 0.681009, 0.204941, -0.043309, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.420769, 64.026365, 65.292400, 83.422013, 247.832224], [8.506428, 8.670690, 9.232434, 11.338022, 78.219594], [48.550269, 49.241776, 51.724922, 65.329780, 168.479927], [5.977982, 6.026991, 6.745081, 8.270418, 14.350738], [76.557410, 78.708375, 80.626645, 102.633688, 276.140666]]
### 10
mean: [1.489494, 3.816629, 1.039581, 0.028130, -1.513075]
std: [2.585218, 5.320577, 0.120719, 0.356742, 1.789986]
pca: [[0.417544, -0.017724, 0.082731, 0.806445, 0.410054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.859341, -0.141437, -0.270948, -0.409471, -0.021188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.017561, 0.898258, -0.222028, -0.144620, 0.350161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.057578, -0.081309, 0.754191, -0.377450, 0.528017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289077, -0.407679, -0.549220, -0.136369, 0.655738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.635812, 44.658580, 47.177619, 59.233016, 134.054495], [89.931050, 91.693243, 96.862742, 121.820458, 343.496656], [2.051037, 2.074515, 2.197707, 2.469221, 93.562291], [5.015816, 5.922232, 6.066353, 6.551340, 8.158368], [30.211925, 31.047710, 32.482360, 40.958820, 136.176761]]
### 12
mean: [-2.563427]
std: [3.996313]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.527408, 67.739245, 73.729861, 91.359284, 230.708462]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.520989,
0.03093,
-0.073634,
-0.188876,
-0.347592
],
[
0.108044,
-0.383794,
0.202638,
0.305055,
0.585155
],
[
0.637921,
-0.126709,
-0.135091,
0.403581,
0.501915
],
[
-0.365286,
0.30299,
0.451677,
-0.251021,
-0.269507
],
[
-0.341228,
0.346399,
-0.043536,
0.139955,
-0.29832
]
],
"network.0.bias": [
-0.340511,
-0.33905,
-0.003649,
0.626981,
0.412466
],
"network.2.weight": [
[
0.714263,
0.475527,
0.870167,
-0.344195,
-0.199601
],
[
0.410123,
0.243066,
0.356955,
0.347717,
0.2947
],
[
-0.392385,
-0.23199,
-0.297172,
-0.515968,
0.313088
],
[
0.112008,
-0.302638,
0.041591,
0.268126,
0.670419
],
[
0.047703,
0.122563,
0.736776,
-0.123566,
-0.288642
]
],
"network.2.bias": [
-0.163523,
0.477855,
0.016682,
-0.29934,
0.675116
],
"network.4.weight": [
[
-0.452796,
0.465376,
0.581298,
0.672479,
-0.179608
],
[
-0.155128,
-0.130699,
-0.021625,
0.03987,
0.249762
],
[
0.430462,
-0.16951,
0.284692,
0.03263,
0.787225
],
[
0.829019,
0.128874,
0.123184,
-0.401045,
0.404675
],
[
-0.479362,
0.371767,
-0.198382,
-0.32577,
0.194558
]
],
"network.4.bias": [
0.531634,
-0.191031,
0.241309,
0.178395,
0.542644
],
"network.6.weight": [
[
-0.349072,
0.131551,
0.078853,
0.674347,
-0.870802
],
[
-0.187031,
-0.087851,
0.458695,
0.263919,
-0.479158
],
[
-0.322247,
-0.426825,
0.648463,
0.503581,
-0.497865
],
[
-0.262192,
0.063122,
-0.149522,
0.03416,
0.002364
],
[
-0.411347,
0.151275,
0.443257,
0.51325,
-0.619665
]
],
"network.6.bias": [
0.225646,
-0.138818,
0.118627,
-0.121059,
-0.03341
],
"network.8.weight": [
[
0.495824,
-0.049193,
0.438031,
-0.015004,
0.567745
],
[
-0.17297,
-0.236216,
0.333102,
0.292501,
0.131634
],
[
0.604231,
0.01431,
-0.107299,
-0.207542,
0.744795
],
[
0.012538,
-0.119801,
-0.156916,
-0.376253,
0.406448
],
[
0.423733,
0.609417,
0.367925,
-0.410825,
0.592797
]
],
"network.8.bias": [
-0.145976,
0.408977,
-0.2993,
-0.090631,
-0.465616
],
"network.10.weight": [
[
0.235225,
-0.254901,
-0.080122,
0.283568,
0.458979
],
[
0.530334,
-0.357451,
0.444443,
0.179925,
0.531446
],
[
0.13152,
0.517222,
0.054781,
0.146901,
-0.188919
],
[
-0.061731,
0.147339,
0.02411,
0.409681,
0.071041
],
[
-0.030365,
-0.357832,
-0.018251,
-0.377617,
-0.306498
]
],
"network.10.bias": [
-0.347159,
-0.029577,
0.694923,
-0.294948,
0.001167
],
"network.12.weight": [
[
-0.513902,
-0.499768,
0.368248,
-0.60077,
0.417264
]
],
"network.12.bias": [
-0.027207
]
}
## Activation Signature
### 0
mean: [-0.623352, 0.895198, 1.761612, 0.797330, 0.460298]
std: [1.243183, 1.508072, 1.817657, 1.212494, 1.120466]
pca: [[-0.052496, 0.836277, -0.162389, 0.109541, 0.509427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.536498, -0.429447, -0.353523, 0.089994, 0.628225, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.694800, 0.240244, 0.285486, 0.511155, -0.341695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.364646, -0.116575, -0.534966, 0.732719, -0.174292, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306106, -0.211918, 0.693513, 0.426317, 0.445740, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.127876, 20.451733, 21.963715, 23.139021, 56.101712], [24.681785, 26.911798, 27.049295, 28.819593, 80.567807], [26.419365, 30.291248, 34.144580, 38.283782, 158.545105], [17.692585, 18.876428, 19.310181, 22.880309, 71.759674], [17.285767, 17.354644, 20.816901, 24.402047, 41.426842]]
### 2
mean: [1.643654, 2.019635, -1.146778, 0.191658, 1.839916]
std: [2.459835, 0.789759, 0.830357, 0.871328, 1.605833]
pca: [[0.782498, -0.045365, 0.297759, -0.282272, -0.466155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.201484, 0.613258, -0.057722, 0.734061, -0.202834, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208966, -0.409401, 0.768793, 0.436566, -0.084216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206419, 0.670441, 0.553176, -0.407848, 0.188565, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.510711, -0.068968, 0.104699, 0.156675, 0.836008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.059244, 41.290749, 44.453317, 55.553457, 147.928845], [11.670945, 12.987332, 15.988987, 16.096091, 181.767186], [15.023167, 16.187617, 18.106785, 19.041199, 103.209975], [14.562121, 15.597647, 16.006685, 16.219943, 17.249191], [25.771680, 26.962861, 29.580818, 36.335265, 165.592393]]
### 4
mean: [0.574567, -0.269174, 2.183996, 2.582149, 0.605656]
std: [1.296057, 0.093502, 2.087787, 2.682106, 0.448872]
pca: [[-0.337294, 0.920247, 0.147176, 0.078570, 0.107446, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010393, -0.139214, -0.045279, 0.520136, 0.841380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573662, 0.215118, -0.113293, 0.681148, -0.384499, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737522, 0.221082, 0.299830, -0.449377, 0.339627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114448, -0.196500, 0.934642, 0.239550, -0.131717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.174591, 22.269199, 22.868564, 27.363989, 51.711032], [1.435117, 1.513349, 1.585349, 1.603280, 24.225680], [34.386944, 36.417353, 37.821899, 47.094482, 196.559678], [46.181405, 46.552915, 49.673967, 60.930896, 232.393389], [7.142489, 7.214124, 8.084325, 9.162946, 54.509058]]
### 6
mean: [1.287769, 1.079573, 2.245619, -0.587748, 1.513299]
std: [2.491751, 1.946427, 3.077305, 0.162383, 2.780532]
pca: [[0.477724, 0.095796, 0.826158, -0.215244, -0.183673, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.373204, -0.189586, -0.035030, 0.859068, -0.292490, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.590074, -0.165907, -0.524388, -0.446271, -0.387488, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006959, 0.931920, -0.149650, 0.094874, -0.316354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.533163, 0.242651, -0.137324, 0.086676, 0.794032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.200064, 43.816011, 44.043442, 55.718507, 115.899190], [33.307085, 33.409752, 34.581740, 43.664112, 97.161604], [52.544574, 52.666296, 55.135902, 69.132747, 202.105725], [2.303144, 2.332141, 2.349734, 2.495042, 52.897360], [46.919972, 48.031376, 49.448309, 62.254579, 136.196857]]
### 8
mean: [2.753691, 0.869107, 1.871999, 0.159453, 3.068230]
std: [3.651548, 0.505911, 2.852003, 0.360994, 4.492459]
pca: [[0.563264, -0.306689, -0.482811, -0.365292, 0.471307, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.077271, -0.628714, -0.354962, 0.475988, -0.496171, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439812, 0.638541, -0.366222, -0.036078, -0.513236, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.055431, 0.301382, -0.207374, 0.772460, 0.516137, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.693005, -0.109978, 0.681009, 0.204941, -0.043309, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.420769, 64.026365, 65.292400, 83.422013, 247.832224], [8.506428, 8.670690, 9.232434, 11.338022, 78.219594], [48.550269, 49.241776, 51.724922, 65.329780, 168.479927], [5.977982, 6.026991, 6.745081, 8.270418, 14.350738], [76.557410, 78.708375, 80.626645, 102.633688, 276.140666]]
### 10
mean: [1.489494, 3.816629, 1.039581, 0.028130, -1.513075]
std: [2.585218, 5.320577, 0.120719, 0.356742, 1.789986]
pca: [[0.417544, -0.017724, 0.082731, 0.806445, 0.410054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.859341, -0.141437, -0.270948, -0.409471, -0.021188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.017561, 0.898258, -0.222028, -0.144620, 0.350161, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.057578, -0.081309, 0.754191, -0.377450, 0.528017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289077, -0.407679, -0.549220, -0.136369, 0.655738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.635812, 44.658580, 47.177619, 59.233016, 134.054495], [89.931050, 91.693243, 96.862742, 121.820458, 343.496656], [2.051037, 2.074515, 2.197707, 2.469221, 93.562291], [5.015816, 5.922232, 6.066353, 6.551340, 8.158368], [30.211925, 31.047710, 32.482360, 40.958820, 136.176761]]
### 12
mean: [-2.563427]
std: [3.996313]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[66.527408, 67.739245, 73.729861, 91.359284, 230.708462]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.680371880531311, "train_acc": 0.58, "val_loss": 0.7127236723899841, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6705393195152283, "train_acc": 0.58, "val_loss": 0.6962061524391174, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6369273960590363, "train_acc": 0.58, "val_loss": 0.5841199159622192, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5455160439014435, "train_acc": 0.51, "val_loss": 0.4455159902572632, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4774613678455353, "train_acc": 0.84, "val_loss": 0.36777934432029724, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3991721123456955, "train_acc": 0.855, "val_loss": 0.30227962136268616, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3647063225507736, "train_acc": 0.85, "val_loss": 0.28368791937828064, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.36042191088199615, "train_acc": 0.84, "val_loss": 0.26910096406936646, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.34562359750270844, "train_acc": 0.855, "val_loss": 0.2217525988817215, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.30050039291381836, "train_acc": 0.875, "val_loss": 0.2272416651248932, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.32467471063137054, "train_acc": 0.87, "val_loss": 0.20588438212871552, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.35254454612731934, "train_acc": 0.875, "val_loss": 0.2319512963294983, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3109396696090698, "train_acc": 0.87, "val_loss": 0.20217636227607727, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7127236723899841, "final_val_loss": 0.5841199159622192, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4455159902572632, "final_val_loss": 0.20217636227607727, "initial_val_acc": 0.86, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.4799999999999999, "first_improvement_epoch": 2}}
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22
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4611, "learning_rate": 0.08701594713422484, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [-0.645729, -5.969725, -2.076474, 4.280617, -2.496669, 0.466766]
std: [2.254001, 3.595309, 1.529742, 4.641644, 2.672918, 3.528222]
pca: [[0.101494, 0.437871, 0.604838, 0.285452, -0.369864, -0.462446, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480661, 0.362795, -0.555403, 0.440284, -0.360405, 0.071631, 0.000000, 0.000000, 0.000000, 0.000000], [0.001637, 0.070284, 0.222361, 0.689323, 0.624410, 0.283829, 0.000000, 0.000000, 0.000000, 0.000000], [0.742050, 0.000638, -0.134863, 0.227194, -0.412718, 0.457405, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366485, 0.229843, 0.451791, -0.287056, -0.187480, 0.700854, 0.000000, 0.000000, 0.000000, 0.000000], [0.271500, 0.786690, -0.232273, -0.339828, 0.371397, -0.006130, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.784549, 37.102867, 39.250940, 42.173214, 58.115634], [57.420844, 58.292260, 68.799274, 72.879003, 537.275211], [23.585971, 24.192923, 26.689861, 30.057291, 186.882644], [73.726347, 80.858424, 81.346153, 81.742320, 385.255573], [43.586080, 44.256364, 45.265486, 45.619531, 224.700189], [50.882461, 54.772452, 63.547006, 71.952423, 81.584767]]
### 2
mean: [-1.409202, 4.163989, 5.053877, -4.395744, -5.959544, 6.279155]
std: [1.372123, 4.951355, 5.657784, 4.254303, 5.819044, 6.963031]
pca: [[-0.102145, 0.545958, -0.471674, -0.549559, -0.051289, 0.405431, 0.000000, 0.000000, 0.000000, 0.000000], [0.392479, 0.295287, 0.659045, 0.057744, -0.232268, 0.516858, 0.000000, 0.000000, 0.000000, 0.000000], [0.449566, 0.145946, -0.440923, 0.357967, -0.645683, -0.192692, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337341, -0.438007, -0.238721, 0.358611, -0.178168, 0.690664, 0.000000, 0.000000, 0.000000, 0.000000], [-0.461463, 0.632824, 0.051646, 0.597833, 0.141799, -0.080047, 0.000000, 0.000000, 0.000000, 0.000000], [0.553778, 0.033456, -0.298521, 0.283732, 0.688959, 0.218925, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.539755, 25.340071, 28.148242, 29.876180, 126.828146], [86.805933, 89.758743, 96.377980, 108.709046, 374.759038], [100.002772, 105.308969, 107.701655, 117.858554, 454.848896], [73.046406, 80.902721, 81.377179, 91.920046, 395.616940], [98.220075, 101.645708, 112.481607, 123.021511, 536.358970], [122.755861, 127.347291, 133.878309, 146.687897, 565.123947]]
### 4
mean: [-5.689576, 10.319464, 10.260801, 4.139560, -3.913275, -2.757010]
std: [5.660080, 12.322709, 12.253160, 5.546910, 3.574876, 2.036398]
pca: [[-0.289585, 0.514055, -0.254537, 0.169873, 0.159981, 0.729828, 0.000000, 0.000000, 0.000000, 0.000000], [0.630829, 0.186576, -0.081557, -0.256482, 0.703415, -0.004048, 0.000000, 0.000000, 0.000000, 0.000000], [0.627279, 0.021887, 0.087298, -0.165597, -0.616097, 0.437519, 0.000000, 0.000000, 0.000000, 0.000000], [0.283909, 0.267598, 0.359308, 0.834334, 0.019430, -0.148976, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182963, -0.121747, 0.867972, -0.220556, 0.218430, 0.319327, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103131, 0.783599, 0.196113, -0.364937, -0.227924, -0.389548, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[100.133702, 104.690611, 108.072855, 118.413456, 512.061791], [216.838310, 227.378204, 236.736758, 262.297931, 928.751704], [215.721592, 226.132377, 235.237884, 260.318609, 923.472120], [97.264658, 101.883033, 106.754353, 118.897339, 372.560386], [62.448496, 66.686620, 68.212474, 76.007166, 352.194713], [36.163517, 37.632218, 38.099896, 39.940491, 248.130910]]
### 6
mean: [-39.224537, -6.677026, 15.026775, 17.806417, 8.680241, -21.399736]
std: [48.087231, 6.992510, 18.735836, 21.612373, 11.318996, 25.470898]
pca: [[0.764518, 0.392231, -0.065605, -0.409280, 0.281753, 0.102315, 0.000000, 0.000000, 0.000000, 0.000000], [0.111159, 0.491757, 0.248091, 0.567514, -0.294621, 0.524782, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297873, -0.042087, 0.301997, 0.013250, 0.810906, 0.400692, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343599, 0.669599, -0.456756, 0.158442, 0.256850, -0.365891, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179951, 0.346802, 0.762725, -0.316652, -0.137991, -0.382473, 0.000000, 0.000000, 0.000000, 0.000000], [0.404951, -0.184187, 0.229280, 0.620379, 0.302045, -0.522896, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[836.665258, 896.580351, 914.646437, 1022.539594, 3530.208138], [121.026840, 130.476934, 132.534371, 148.642591, 600.932415], [325.814737, 349.268156, 356.441432, 398.435095, 1352.409739], [378.360638, 402.772402, 412.001967, 459.810244, 1602.577568], [196.991270, 210.829871, 215.814829, 240.944473, 781.221562], [444.300154, 474.809265, 484.954177, 541.815159, 1925.976289]]
### 8
mean: [-4.991467, 24.487026, 17.146883, -7.960351, -1.524537, -6.186005]
std: [6.683722, 30.449129, 22.465218, 10.793022, 2.969975, 8.098034]
pca: [[-0.163705, -0.056082, -0.512980, -0.533925, 0.443651, 0.474347, 0.000000, 0.000000, 0.000000, 0.000000], [0.745826, 0.187794, -0.060826, -0.242463, 0.398953, -0.432233, 0.000000, 0.000000, 0.000000, 0.000000], [0.550252, 0.246815, -0.218270, 0.320564, -0.303363, 0.627594, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263969, 0.727984, -0.443785, -0.102864, -0.313030, -0.307970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071911, 0.545392, 0.695222, -0.310704, 0.135850, 0.314721, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198283, 0.270662, -0.072321, 0.668025, 0.659953, 0.020041, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[116.814081, 125.692658, 126.648297, 141.911355, 449.232084], [530.266217, 569.495432, 578.765558, 646.705443, 2203.832468], [389.759321, 420.942277, 426.051037, 476.664246, 1543.219601], [194.793375, 195.343030, 212.359012, 232.144246, 716.431518], [49.000267, 55.154666, 61.809625, 64.684217, 137.208291], [144.298651, 148.509829, 157.096201, 173.370921, 556.740490]]
### 10
mean: [-19.645889]
std: [26.047684]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[450.204095, 486.291464, 495.493468, 552.025500, 1768.130019]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-0.645729, -5.969725, -2.076474, 4.280617, -2.496669, 0.466766]
std: [2.254001, 3.595309, 1.529742, 4.641644, 2.672918, 3.528222]
pca: [[0.101494, 0.437871, 0.604838, 0.285452, -0.369864, -0.462446, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480661, 0.362795, -0.555403, 0.440284, -0.360405, 0.071631, 0.000000, 0.000000, 0.000000, 0.000000], [0.001637, 0.070284, 0.222361, 0.689323, 0.624410, 0.283829, 0.000000, 0.000000, 0.000000, 0.000000], [0.742050, 0.000638, -0.134863, 0.227194, -0.412718, 0.457405, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366485, 0.229843, 0.451791, -0.287056, -0.187480, 0.700854, 0.000000, 0.000000, 0.000000, 0.000000], [0.271500, 0.786690, -0.232273, -0.339828, 0.371397, -0.006130, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.784549, 37.102867, 39.250940, 42.173214, 58.115634], [57.420844, 58.292260, 68.799274, 72.879003, 537.275211], [23.585971, 24.192923, 26.689861, 30.057291, 186.882644], [73.726347, 80.858424, 81.346153, 81.742320, 385.255573], [43.586080, 44.256364, 45.265486, 45.619531, 224.700189], [50.882461, 54.772452, 63.547006, 71.952423, 81.584767]]
### 2
mean: [-1.409202, 4.163989, 5.053877, -4.395744, -5.959544, 6.279155]
std: [1.372123, 4.951355, 5.657784, 4.254303, 5.819044, 6.963031]
pca: [[-0.102145, 0.545958, -0.471674, -0.549559, -0.051289, 0.405431, 0.000000, 0.000000, 0.000000, 0.000000], [0.392479, 0.295287, 0.659045, 0.057744, -0.232268, 0.516858, 0.000000, 0.000000, 0.000000, 0.000000], [0.449566, 0.145946, -0.440923, 0.357967, -0.645683, -0.192692, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337341, -0.438007, -0.238721, 0.358611, -0.178168, 0.690664, 0.000000, 0.000000, 0.000000, 0.000000], [-0.461463, 0.632824, 0.051646, 0.597833, 0.141799, -0.080047, 0.000000, 0.000000, 0.000000, 0.000000], [0.553778, 0.033456, -0.298521, 0.283732, 0.688959, 0.218925, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.539755, 25.340071, 28.148242, 29.876180, 126.828146], [86.805933, 89.758743, 96.377980, 108.709046, 374.759038], [100.002772, 105.308969, 107.701655, 117.858554, 454.848896], [73.046406, 80.902721, 81.377179, 91.920046, 395.616940], [98.220075, 101.645708, 112.481607, 123.021511, 536.358970], [122.755861, 127.347291, 133.878309, 146.687897, 565.123947]]
### 4
mean: [-5.689576, 10.319464, 10.260801, 4.139560, -3.913275, -2.757010]
std: [5.660080, 12.322709, 12.253160, 5.546910, 3.574876, 2.036398]
pca: [[-0.289585, 0.514055, -0.254537, 0.169873, 0.159981, 0.729828, 0.000000, 0.000000, 0.000000, 0.000000], [0.630829, 0.186576, -0.081557, -0.256482, 0.703415, -0.004048, 0.000000, 0.000000, 0.000000, 0.000000], [0.627279, 0.021887, 0.087298, -0.165597, -0.616097, 0.437519, 0.000000, 0.000000, 0.000000, 0.000000], [0.283909, 0.267598, 0.359308, 0.834334, 0.019430, -0.148976, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182963, -0.121747, 0.867972, -0.220556, 0.218430, 0.319327, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103131, 0.783599, 0.196113, -0.364937, -0.227924, -0.389548, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[100.133702, 104.690611, 108.072855, 118.413456, 512.061791], [216.838310, 227.378204, 236.736758, 262.297931, 928.751704], [215.721592, 226.132377, 235.237884, 260.318609, 923.472120], [97.264658, 101.883033, 106.754353, 118.897339, 372.560386], [62.448496, 66.686620, 68.212474, 76.007166, 352.194713], [36.163517, 37.632218, 38.099896, 39.940491, 248.130910]]
### 6
mean: [-39.224537, -6.677026, 15.026775, 17.806417, 8.680241, -21.399736]
std: [48.087231, 6.992510, 18.735836, 21.612373, 11.318996, 25.470898]
pca: [[0.764518, 0.392231, -0.065605, -0.409280, 0.281753, 0.102315, 0.000000, 0.000000, 0.000000, 0.000000], [0.111159, 0.491757, 0.248091, 0.567514, -0.294621, 0.524782, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297873, -0.042087, 0.301997, 0.013250, 0.810906, 0.400692, 0.000000, 0.000000, 0.000000, 0.000000], [-0.343599, 0.669599, -0.456756, 0.158442, 0.256850, -0.365891, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179951, 0.346802, 0.762725, -0.316652, -0.137991, -0.382473, 0.000000, 0.000000, 0.000000, 0.000000], [0.404951, -0.184187, 0.229280, 0.620379, 0.302045, -0.522896, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[836.665258, 896.580351, 914.646437, 1022.539594, 3530.208138], [121.026840, 130.476934, 132.534371, 148.642591, 600.932415], [325.814737, 349.268156, 356.441432, 398.435095, 1352.409739], [378.360638, 402.772402, 412.001967, 459.810244, 1602.577568], [196.991270, 210.829871, 215.814829, 240.944473, 781.221562], [444.300154, 474.809265, 484.954177, 541.815159, 1925.976289]]
### 8
mean: [-4.991467, 24.487026, 17.146883, -7.960351, -1.524537, -6.186005]
std: [6.683722, 30.449129, 22.465218, 10.793022, 2.969975, 8.098034]
pca: [[-0.163705, -0.056082, -0.512980, -0.533925, 0.443651, 0.474347, 0.000000, 0.000000, 0.000000, 0.000000], [0.745826, 0.187794, -0.060826, -0.242463, 0.398953, -0.432233, 0.000000, 0.000000, 0.000000, 0.000000], [0.550252, 0.246815, -0.218270, 0.320564, -0.303363, 0.627594, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263969, 0.727984, -0.443785, -0.102864, -0.313030, -0.307970, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071911, 0.545392, 0.695222, -0.310704, 0.135850, 0.314721, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198283, 0.270662, -0.072321, 0.668025, 0.659953, 0.020041, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[116.814081, 125.692658, 126.648297, 141.911355, 449.232084], [530.266217, 569.495432, 578.765558, 646.705443, 2203.832468], [389.759321, 420.942277, 426.051037, 476.664246, 1543.219601], [194.793375, 195.343030, 212.359012, 232.144246, 716.431518], [49.000267, 55.154666, 61.809625, 64.684217, 137.208291], [144.298651, 148.509829, 157.096201, 173.370921, 556.740490]]
### 10
mean: [-19.645889]
std: [26.047684]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[450.204095, 486.291464, 495.493468, 552.025500, 1768.130019]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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55.154666197975466, 61.8096250145638, 64.68421698719317, 137.208291426301]}, "5": {"mean": -6.186005115509033, "std": 8.098033905029297, "pca": [-0.19828300178050995, 0.2706618010997772, -0.07232095301151276, 0.6680245399475098, 0.6599525213241577, 0.020040517672896385, 0.0, 0.0, 0.0, 0.0], "fourier": [144.29865088309396, 148.50982900633866, 157.09620054385147, 173.37092078831478, 556.7404903918505]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -19.645889282226562, "std": 26.047683715820312, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [450.2040950315963, 486.29146436305786, 495.49346799954174, 552.0254998547075, 1768.1300192773342]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.103058, -0.780391, -0.571887, 0.474076, -0.045316], [-0.564725, -0.752917, -0.652271, -0.946825, 0.096212], [0.427081, 0.026674, -0.576499, -0.009588, -0.481121], [1.676229, 0.85493, 0.535057, 0.080579, -0.096518], [-0.468422, -1.019204, -0.421515, 0.361564, 0.218239], [1.481612, -1.42517, 0.560425, 0.079027, 0.015413]], "network.0.bias": [-0.362509, -0.620699, -0.838371, -0.534662, -0.220545, -0.139183], "network.2.weight": [[-0.632423, -1.050553, 0.532896, -0.147503, -0.534397, -0.104156], [0.660039, -0.048998, -1.662074, 0.531941, 0.318847, 1.076558], [0.487082, -0.025388, -1.579083, 0.781359, 0.367693, 0.975442], [-0.353131, 0.028569, 1.033157, -0.478412, 0.026488, -0.939926], [-1.253057, -0.050386, 1.340128, -0.794786, -0.136044, -0.745663], [0.684248, -0.207231, -1.105904, 0.934572, 0.516058, 1.201836]], "network.2.bias": [-0.266381, -0.103828, -0.048254, -0.758294, -0.749987, 0.088579], "network.4.weight": [[0.129837, 0.104563, -0.357847, -0.158188, -0.322244, -0.59118], [0.081287, 0.668237, 0.565078, 0.6021, 0.714536, 0.822916], [0.150374, 0.543441, 0.548394, 0.700089, 0.637853, 0.914529], [0.623922, 0.373393, 0.007755, 0.204111, 0.339179, 0.516809], [-0.152499, -0.282085, -0.463488, -0.317035, 0.256778, 0.066827], [0.273059, 0.425216, -0.426886, 0.382877, 0.195643, -0.247803]], "network.4.bias": [-0.642104, -0.344644, -0.368644, -0.588959, -0.86198, -0.767023], "network.6.weight": [[-0.626788, -1.755394, -1.441399, -1.609612, -0.651447, -0.838405], [0.446406, -0.454281, -0.00588, -0.255229, 0.715065, 0.206534], [0.908587, 0.380955, 0.77519, 0.82294, 0.455214, 0.458357], [1.163207, 1.099343, 0.570048, 0.18806, 0.476072, 0.92824], [1.274728, 0.231927, 0.38628, 0.658371, 1.025028, 0.985882], [-0.530093, -1.323568, -0.502034, -0.547197, -0.392291, -0.828034]], "network.6.bias": [0.461313, -0.759103, -0.270234, -0.100292, -0.287121, -0.317486], "network.8.weight": [[0.016719, -1.130018, -0.137011, -0.221733, 0.061357, -0.404599], [-0.362729, 0.735828, 0.7331, 0.809729, -0.067265, -0.024072], [-0.212791, 0.613969, 0.58637, 0.45691, 0.146333, 0.234454], [1.251196, -1.100045, -0.182415, -0.39834, 0.135165, 0.32554], [0.869252, -0.512608, -0.447709, 0.282561, -0.040368, 1.234859], [0.553935, -0.450011, -0.590695, -0.067502, 0.403066, 0.233418]], "network.8.bias": [0.458161, -0.389731, -1.129396, 0.371171, 0.290911, 0.239072], "network.10.weight": [[-0.230559, -0.383025, -0.64346, 0.434946, 0.164709, 0.057208]], "network.10.bias": [0.856551]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7055697441101074, "train_acc": 0.435, "val_loss": 0.6894066333770752, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843611299991608, "train_acc": 0.565, "val_loss": 0.695496678352356, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6800865828990936, "train_acc": 0.565, "val_loss": 0.6517313122749329, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6271849274635315, "train_acc": 0.49, "val_loss": 0.47679272294044495, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4353923052549362, "train_acc": 0.865, "val_loss": 0.32187139987945557, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.34926195442676544, "train_acc": 0.89, "val_loss": 0.3006197512149811, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3129553496837616, "train_acc": 0.9, "val_loss": 0.31665295362472534, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2941262573003769, "train_acc": 0.875, "val_loss": 0.4295485019683838, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.40078166127204895, "train_acc": 0.85, "val_loss": 0.21549458801746368, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4046332389116287, "train_acc": 0.87, "val_loss": 0.28907400369644165, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2189437672495842, "train_acc": 0.915, "val_loss": 0.22996750473976135, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2007589489221573, "train_acc": 0.945, "val_loss": 0.20257824659347534, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1801149770617485, "train_acc": 0.955, "val_loss": 0.183974489569664, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6894066333770752, "final_val_loss": 0.6517313122749329, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.47679272294044495, "final_val_loss": 0.183974489569664, "initial_val_acc": 0.72, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 12}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
23
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8617, "learning_rate": 0.08422630629161262, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.332143,
0.331463
],
[
2.167363,
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],
[
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],
[
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0.033725,
-0.041916,
-1.937174
],
[
-0.25676,
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-0.20867,
0.251251,
0.245362
],
[
-0.293729,
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-0.148803,
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-0.298951
]
],
"network.0.bias": [
-0.182231,
-0.129055,
-0.341051,
-0.137083,
0.432112,
-0.680019
],
"network.2.weight": [
[
-0.587355,
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],
[
-0.159236,
1.273193,
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1.028345,
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-0.052602
],
[
-0.191447,
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0.034549,
0.006391
],
[
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0.860123,
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0.425751
],
[
-0.522716,
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-0.49018,
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0.010189,
-0.361966
],
[
-0.250913,
1.107023,
0.99703,
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-0.019795
]
],
"network.2.bias": [
-0.490101,
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0.185694
],
"network.4.weight": [
[
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],
[
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1.264037,
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1.010885
],
[
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[
0.289151,
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[
0.034906,
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],
[
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]
],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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],
[
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],
"network.8.bias": [
0.742784,
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],
"network.10.weight": [
[
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[
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[
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[
0.052986,
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[
1.151597,
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[
0.078998,
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],
"network.10.bias": [
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"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.244023, 1.158827, -2.157375, -0.963572, -1.290010, -3.355225]
std: [2.072557, 4.504899, 2.405777, 3.846712, 2.160790, 1.809910]
pca: [[-0.286672, 0.111260, 0.398171, -0.329072, 0.355874, 0.715517, 0.000000, 0.000000, 0.000000, 0.000000], [0.720206, -0.408238, -0.066652, 0.293335, 0.152241, 0.448308, 0.000000, 0.000000, 0.000000, 0.000000], [0.177933, 0.415870, 0.697684, 0.526848, 0.055915, -0.167134, 0.000000, 0.000000, 0.000000, 0.000000], [0.547544, 0.606347, -0.178264, -0.486999, 0.225916, -0.112048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251111, 0.184902, -0.447001, 0.446760, 0.708929, -0.027741, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067835, 0.496155, -0.344479, 0.302217, -0.541692, 0.495779, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.456872, 29.946881, 35.593166, 39.642986, 44.913904], [75.618946, 80.316299, 81.155561, 86.271773, 104.294392], [42.214290, 43.359270, 48.129074, 55.435199, 194.163738], [56.041255, 59.107313, 63.556473, 71.593100, 86.721446], [34.540714, 35.072968, 38.473182, 38.720164, 116.100884], [27.587045, 28.475305, 34.790040, 37.198159, 301.970220]]
### 2
mean: [-1.532710, 4.095385, -2.395598, 2.637023, -1.519476, 3.230067]
std: [0.921844, 6.426329, 2.900029, 3.920545, 1.423770, 5.468478]
pca: [[-0.060658, 0.659062, -0.171978, -0.480467, 0.528181, 0.150193, 0.000000, 0.000000, 0.000000, 0.000000], [0.653546, 0.063736, -0.417685, -0.188899, -0.430655, 0.416182, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293484, 0.225417, 0.609623, -0.143950, -0.404918, 0.553836, 0.000000, 0.000000, 0.000000, 0.000000], [0.397920, 0.224984, 0.249860, 0.693744, 0.389440, 0.309303, 0.000000, 0.000000, 0.000000, 0.000000], [-0.125326, 0.670007, -0.171329, 0.357074, -0.467739, -0.399687, 0.000000, 0.000000, 0.000000, 0.000000], [0.555895, 0.105995, 0.576661, -0.322436, -0.034055, -0.492019, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.757717, 14.063310, 16.532008, 25.423601, 137.943937], [114.325868, 116.905189, 119.184860, 124.727841, 368.584660], [50.315063, 51.424163, 54.342338, 54.986383, 215.603811], [70.025703, 72.017984, 73.057167, 75.658707, 237.332069], [23.920495, 24.622034, 25.395160, 35.988230, 136.752848], [98.180646, 99.851157, 101.209133, 105.254936, 290.706019]]
### 4
mean: [-3.864578, 11.010084, -2.362691, -3.985970, 9.847834, 8.152266]
std: [5.354656, 17.302567, 3.534451, 6.073318, 15.362700, 12.415956]
pca: [[-0.193269, -0.141796, -0.499488, 0.748582, -0.093551, 0.352032, 0.000000, 0.000000, 0.000000, 0.000000], [0.624522, -0.174510, -0.272846, -0.331336, 0.109494, 0.619113, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127571, -0.095790, 0.302180, 0.182634, 0.905620, 0.172435, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219187, 0.800528, 0.176772, -0.042795, -0.095300, 0.518604, 0.000000, 0.000000, 0.000000, 0.000000], [0.554500, 0.534865, -0.283356, 0.286643, 0.252286, -0.424671, 0.000000, 0.000000, 0.000000, 0.000000], [0.448142, -0.115492, 0.687906, 0.460968, -0.293906, 0.117231, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.778698, 97.807484, 99.605239, 104.145552, 347.811972], [309.812951, 316.157200, 322.366689, 336.560860, 990.907561], [63.260027, 64.458041, 65.919929, 68.754352, 212.642172], [108.971897, 111.415679, 113.153748, 118.120174, 358.737294], [274.863099, 280.264900, 286.243185, 298.829335, 886.304989], [222.258852, 226.996376, 231.090053, 241.493730, 733.703937]]
### 6
mean: [24.505903, -10.264689, -16.103769, -4.369336, -6.190101, -6.971299]
std: [38.184132, 15.759843, 25.006533, 6.653027, 9.486982, 10.854340]
pca: [[0.751195, 0.642410, 0.088449, 0.050421, 0.075499, 0.083364, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310043, 0.340157, 0.204753, -0.495062, 0.632448, -0.318067, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491953, 0.655655, -0.346767, 0.292531, -0.321604, -0.137291, 0.000000, 0.000000, 0.000000, 0.000000], [-0.130885, -0.022818, 0.169849, 0.760848, 0.582767, 0.187062, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186637, 0.137206, -0.189966, -0.296127, 0.116738, 0.899408, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213537, 0.149575, 0.874683, 0.014705, -0.370993, 0.170609, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[683.477946, 697.384720, 711.284989, 742.733436, 2205.531444], [282.076263, 287.837923, 293.532847, 306.548143, 923.822000], [447.572535, 456.720018, 465.746081, 486.406865, 1449.339204], [119.101354, 121.511418, 123.958101, 129.412005, 393.240249], [169.800691, 173.271655, 176.694781, 184.533117, 557.109050], [194.318388, 198.305810, 202.188172, 211.131120, 627.416944]]
### 8
mean: [-4.949318, 18.076500, 11.040535, -8.494125, -14.312168, -2.886134]
std: [8.869208, 28.449034, 17.491135, 14.069582, 21.822863, 4.136078]
pca: [[-0.204268, 0.553518, 0.257204, -0.333739, -0.135532, 0.675269, 0.000000, 0.000000, 0.000000, 0.000000], [0.655214, 0.123571, -0.271547, 0.351991, 0.390892, 0.452760, 0.000000, 0.000000, 0.000000, 0.000000], [0.402841, 0.585437, 0.426255, 0.221740, -0.233731, -0.457701, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324039, -0.193884, 0.367942, 0.786149, -0.167237, 0.275733, 0.000000, 0.000000, 0.000000, 0.000000], [-0.502606, 0.542280, -0.462791, 0.288187, 0.334169, -0.210770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095259, -0.062875, 0.573462, -0.120293, 0.796597, -0.095272, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.754656, 161.984843, 165.213525, 172.518205, 445.438632], [509.224334, 519.585565, 529.941939, 553.372568, 1626.885088], [313.083110, 319.453431, 325.820768, 340.226468, 993.648202], [251.838869, 256.963053, 262.084842, 273.672547, 764.471245], [390.618969, 398.566923, 406.511159, 424.484466, 1288.095011], [74.033845, 75.540218, 77.045884, 80.452358, 259.752019]]
### 10
mean: [-2.356215, -6.870034, 23.614290, -3.377764, -17.304001, -7.181386]
std: [3.296803, 10.871935, 37.365318, 4.981857, 29.139767, 10.693932]
pca: [[-0.065757, -0.088350, 0.511139, 0.437320, -0.600799, 0.417611, 0.000000, 0.000000, 0.000000, 0.000000], [-0.216847, -0.467556, 0.100183, -0.502212, 0.255515, 0.637830, 0.000000, 0.000000, 0.000000, 0.000000], [0.745294, 0.373678, 0.417330, -0.256564, 0.166075, 0.193212, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099368, -0.101190, 0.331652, 0.578911, 0.731265, 0.002825, 0.000000, 0.000000, 0.000000, 0.000000], [-0.581221, 0.759871, 0.144349, -0.157335, 0.084566, 0.178984, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213301, -0.215190, 0.650928, -0.361686, -0.065363, -0.591100, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.094561, 60.170248, 61.641548, 64.147953, 212.059436], [194.456864, 198.543383, 202.968263, 211.859233, 618.303068], [668.951291, 682.385282, 696.073769, 726.726393, 2125.286152], [89.228748, 90.964887, 92.990401, 96.906342, 303.998712], [522.268100, 532.186069, 541.738398, 565.371365, 1557.360032], [191.547573, 195.239023, 199.576322, 208.071349, 646.324778]]
### 12
mean: [-12.076904]
std: [20.467430]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[368.000083, 373.186481, 377.947071, 395.910747, 1086.921285]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.00105,
0.332143,
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],
[
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[
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],
[
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-0.041916,
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[
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0.245362
],
[
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]
],
"network.0.bias": [
-0.182231,
-0.129055,
-0.341051,
-0.137083,
0.432112,
-0.680019
],
"network.2.weight": [
[
-0.587355,
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-0.351833,
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-0.358548
],
[
-0.159236,
1.273193,
0.538727,
1.028345,
0.444918,
-0.052602
],
[
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],
[
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],
[
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],
[
-0.250913,
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]
],
"network.2.bias": [
-0.490101,
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0.561277,
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0.185694
],
"network.4.weight": [
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],
[
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1.264037,
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1.010885
],
[
-0.217265,
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[
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],
[
0.034906,
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0.857606
],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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[
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[
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[
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[
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]
],
"network.6.bias": [
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0.039224,
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-0.065954,
-0.009279
],
"network.8.weight": [
[
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0.358406
],
[
0.745049,
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0.012725
],
[
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0.025901
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[
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[
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],
[
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-0.402952,
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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0.169625,
0.312191
],
[
-0.125447,
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],
[
0.052986,
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],
[
1.151597,
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],
[
0.078998,
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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-0.545367,
0.40598,
1.043981,
0.071619
]
],
"network.12.bias": [
0.661606
]
}
## Activation Signature
### 0
mean: [0.244023, 1.158827, -2.157375, -0.963572, -1.290010, -3.355225]
std: [2.072557, 4.504899, 2.405777, 3.846712, 2.160790, 1.809910]
pca: [[-0.286672, 0.111260, 0.398171, -0.329072, 0.355874, 0.715517, 0.000000, 0.000000, 0.000000, 0.000000], [0.720206, -0.408238, -0.066652, 0.293335, 0.152241, 0.448308, 0.000000, 0.000000, 0.000000, 0.000000], [0.177933, 0.415870, 0.697684, 0.526848, 0.055915, -0.167134, 0.000000, 0.000000, 0.000000, 0.000000], [0.547544, 0.606347, -0.178264, -0.486999, 0.225916, -0.112048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.251111, 0.184902, -0.447001, 0.446760, 0.708929, -0.027741, 0.000000, 0.000000, 0.000000, 0.000000], [-0.067835, 0.496155, -0.344479, 0.302217, -0.541692, 0.495779, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.456872, 29.946881, 35.593166, 39.642986, 44.913904], [75.618946, 80.316299, 81.155561, 86.271773, 104.294392], [42.214290, 43.359270, 48.129074, 55.435199, 194.163738], [56.041255, 59.107313, 63.556473, 71.593100, 86.721446], [34.540714, 35.072968, 38.473182, 38.720164, 116.100884], [27.587045, 28.475305, 34.790040, 37.198159, 301.970220]]
### 2
mean: [-1.532710, 4.095385, -2.395598, 2.637023, -1.519476, 3.230067]
std: [0.921844, 6.426329, 2.900029, 3.920545, 1.423770, 5.468478]
pca: [[-0.060658, 0.659062, -0.171978, -0.480467, 0.528181, 0.150193, 0.000000, 0.000000, 0.000000, 0.000000], [0.653546, 0.063736, -0.417685, -0.188899, -0.430655, 0.416182, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293484, 0.225417, 0.609623, -0.143950, -0.404918, 0.553836, 0.000000, 0.000000, 0.000000, 0.000000], [0.397920, 0.224984, 0.249860, 0.693744, 0.389440, 0.309303, 0.000000, 0.000000, 0.000000, 0.000000], [-0.125326, 0.670007, -0.171329, 0.357074, -0.467739, -0.399687, 0.000000, 0.000000, 0.000000, 0.000000], [0.555895, 0.105995, 0.576661, -0.322436, -0.034055, -0.492019, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.757717, 14.063310, 16.532008, 25.423601, 137.943937], [114.325868, 116.905189, 119.184860, 124.727841, 368.584660], [50.315063, 51.424163, 54.342338, 54.986383, 215.603811], [70.025703, 72.017984, 73.057167, 75.658707, 237.332069], [23.920495, 24.622034, 25.395160, 35.988230, 136.752848], [98.180646, 99.851157, 101.209133, 105.254936, 290.706019]]
### 4
mean: [-3.864578, 11.010084, -2.362691, -3.985970, 9.847834, 8.152266]
std: [5.354656, 17.302567, 3.534451, 6.073318, 15.362700, 12.415956]
pca: [[-0.193269, -0.141796, -0.499488, 0.748582, -0.093551, 0.352032, 0.000000, 0.000000, 0.000000, 0.000000], [0.624522, -0.174510, -0.272846, -0.331336, 0.109494, 0.619113, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127571, -0.095790, 0.302180, 0.182634, 0.905620, 0.172435, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219187, 0.800528, 0.176772, -0.042795, -0.095300, 0.518604, 0.000000, 0.000000, 0.000000, 0.000000], [0.554500, 0.534865, -0.283356, 0.286643, 0.252286, -0.424671, 0.000000, 0.000000, 0.000000, 0.000000], [0.448142, -0.115492, 0.687906, 0.460968, -0.293906, 0.117231, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[95.778698, 97.807484, 99.605239, 104.145552, 347.811972], [309.812951, 316.157200, 322.366689, 336.560860, 990.907561], [63.260027, 64.458041, 65.919929, 68.754352, 212.642172], [108.971897, 111.415679, 113.153748, 118.120174, 358.737294], [274.863099, 280.264900, 286.243185, 298.829335, 886.304989], [222.258852, 226.996376, 231.090053, 241.493730, 733.703937]]
### 6
mean: [24.505903, -10.264689, -16.103769, -4.369336, -6.190101, -6.971299]
std: [38.184132, 15.759843, 25.006533, 6.653027, 9.486982, 10.854340]
pca: [[0.751195, 0.642410, 0.088449, 0.050421, 0.075499, 0.083364, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310043, 0.340157, 0.204753, -0.495062, 0.632448, -0.318067, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491953, 0.655655, -0.346767, 0.292531, -0.321604, -0.137291, 0.000000, 0.000000, 0.000000, 0.000000], [-0.130885, -0.022818, 0.169849, 0.760848, 0.582767, 0.187062, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186637, 0.137206, -0.189966, -0.296127, 0.116738, 0.899408, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213537, 0.149575, 0.874683, 0.014705, -0.370993, 0.170609, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[683.477946, 697.384720, 711.284989, 742.733436, 2205.531444], [282.076263, 287.837923, 293.532847, 306.548143, 923.822000], [447.572535, 456.720018, 465.746081, 486.406865, 1449.339204], [119.101354, 121.511418, 123.958101, 129.412005, 393.240249], [169.800691, 173.271655, 176.694781, 184.533117, 557.109050], [194.318388, 198.305810, 202.188172, 211.131120, 627.416944]]
### 8
mean: [-4.949318, 18.076500, 11.040535, -8.494125, -14.312168, -2.886134]
std: [8.869208, 28.449034, 17.491135, 14.069582, 21.822863, 4.136078]
pca: [[-0.204268, 0.553518, 0.257204, -0.333739, -0.135532, 0.675269, 0.000000, 0.000000, 0.000000, 0.000000], [0.655214, 0.123571, -0.271547, 0.351991, 0.390892, 0.452760, 0.000000, 0.000000, 0.000000, 0.000000], [0.402841, 0.585437, 0.426255, 0.221740, -0.233731, -0.457701, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324039, -0.193884, 0.367942, 0.786149, -0.167237, 0.275733, 0.000000, 0.000000, 0.000000, 0.000000], [-0.502606, 0.542280, -0.462791, 0.288187, 0.334169, -0.210770, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095259, -0.062875, 0.573462, -0.120293, 0.796597, -0.095272, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.754656, 161.984843, 165.213525, 172.518205, 445.438632], [509.224334, 519.585565, 529.941939, 553.372568, 1626.885088], [313.083110, 319.453431, 325.820768, 340.226468, 993.648202], [251.838869, 256.963053, 262.084842, 273.672547, 764.471245], [390.618969, 398.566923, 406.511159, 424.484466, 1288.095011], [74.033845, 75.540218, 77.045884, 80.452358, 259.752019]]
### 10
mean: [-2.356215, -6.870034, 23.614290, -3.377764, -17.304001, -7.181386]
std: [3.296803, 10.871935, 37.365318, 4.981857, 29.139767, 10.693932]
pca: [[-0.065757, -0.088350, 0.511139, 0.437320, -0.600799, 0.417611, 0.000000, 0.000000, 0.000000, 0.000000], [-0.216847, -0.467556, 0.100183, -0.502212, 0.255515, 0.637830, 0.000000, 0.000000, 0.000000, 0.000000], [0.745294, 0.373678, 0.417330, -0.256564, 0.166075, 0.193212, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099368, -0.101190, 0.331652, 0.578911, 0.731265, 0.002825, 0.000000, 0.000000, 0.000000, 0.000000], [-0.581221, 0.759871, 0.144349, -0.157335, 0.084566, 0.178984, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213301, -0.215190, 0.650928, -0.361686, -0.065363, -0.591100, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.094561, 60.170248, 61.641548, 64.147953, 212.059436], [194.456864, 198.543383, 202.968263, 211.859233, 618.303068], [668.951291, 682.385282, 696.073769, 726.726393, 2125.286152], [89.228748, 90.964887, 92.990401, 96.906342, 303.998712], [522.268100, 532.186069, 541.738398, 565.371365, 1557.360032], [191.547573, 195.239023, 199.576322, 208.071349, 646.324778]]
### 12
mean: [-12.076904]
std: [20.467430]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[368.000083, 373.186481, 377.947071, 395.910747, 1086.921285]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.958357, 0.271984, 0.00105, 0.332143, 0.331463], [2.167363, 0.278186, -0.257057, -0.20877, -0.755301], [0.238663, 0.717385, -1.114387, -0.37397, -0.235761], [0.959706, 0.212833, 0.033725, -0.041916, -1.937174], [-0.25676, -0.992259, -0.20867, 0.251251, 0.245362], [-0.293729, -0.409661, -0.148803, -0.412062, -0.298951]], "network.0.bias": [-0.182231, -0.129055, -0.341051, -0.137083, 0.432112, -0.680019], "network.2.weight": [[-0.587355, -0.074639, -0.335529, -0.351833, 0.037947, -0.358548], [-0.159236, 1.273193, 0.538727, 1.028345, 0.444918, -0.052602], [-0.191447, -0.540626, -0.094484, -0.615085, 0.034549, 0.006391], [-0.232363, 0.860123, 0.560135, 0.358873, 0.37559, 0.425751], [-0.522716, -0.148573, -0.49018, -0.556721, 0.010189, -0.361966], [-0.250913, 1.107023, 0.99703, 0.747949, 0.654793, -0.019795]], "network.2.bias": [-0.490101, 0.506827, -0.558965, 0.561277, -0.178135, 0.185694], "network.4.weight": [[0.164717, -0.518841, -0.166381, -0.308837, 0.116415, -0.149717], [-0.040881, 1.264037, -0.514641, 0.942921, 0.059524, 1.010885], [-0.217265, -0.270028, -0.226961, -0.098285, -0.396762, -0.260415], [0.289151, -0.208604, -0.408013, -0.612891, -0.695972, -0.429583], [0.034906, 1.328869, 0.533815, 0.553565, 0.153014, 0.857606], [-0.223249, 1.007993, 0.06671, 0.813658, 0.276081, 0.50746]], "network.4.bias": [-0.431329, 0.023492, -0.142492, -0.102661, 0.12725, 0.207304], "network.6.weight": [[-0.599718, 0.932149, -0.227872, 0.22385, 0.920099, 0.637929], [-0.438921, -0.232001, 0.32822, -0.047312, -0.417966, -0.428853], [-0.275655, -0.327691, -0.003309, -0.172624, -0.67436, -0.723002], [-0.33558, -0.284219, -0.133168, 0.241042, -0.120132, 0.008877], [0.139506, -0.126581, 0.379263, 0.394496, -0.253297, -0.274286], [-0.127492, -0.390764, -0.020696, -0.321776, -0.116485, -0.185538]], "network.6.bias": [-0.018688, -0.098159, 0.039224, -0.129396, -0.065954, -0.009279], "network.8.weight": [[-0.232275, -0.254993, 0.04059, 0.017601, 0.146846, 0.358406], [0.745049, -0.33901, -0.579096, -0.363953, -0.073273, 0.012725], [0.458073, 0.21113, 0.240983, 0.301471, -0.280587, 0.025901], [-0.368467, 0.698038, -0.069974, 0.326188, -0.063061, -0.058988], [-0.571517, -0.289854, -0.028659, -0.273962, 0.062268, -0.050399], [-0.108319, -0.210632, -0.302723, -0.227083, -0.402952, -0.225446]], "network.8.bias": [0.742784, -0.181591, -0.184969, 0.535485, -0.306636, -0.231671], "network.10.weight": [[0.060625, 0.107195, -0.362846, -0.324806, -0.342992, -0.16097], [-0.26864, -0.389032, 0.010101, -0.289806, 0.169625, 0.312191], [-0.125447, 0.93122, 0.621304, 0.127121, 0.022147, -0.073678], [0.052986, -0.126516, -0.079057, -0.292722, -0.384724, -0.301359], [1.151597, -0.943767, -0.126941, 0.131276, 0.258176, 0.336121], [0.078998, 0.060189, -0.709356, -0.49325, -0.013622, -0.261538]], "network.10.bias": [-0.287688, 0.082245, -0.06896, -0.21781, 1.042735, -0.435993], "network.12.weight": [[0.180408, 0.148478, -0.545367, 0.40598, 1.043981, 0.071619]], "network.12.bias": [0.661606]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023701071739197, "train_acc": 0.465, "val_loss": 0.7157906889915466, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6760231852531433, "train_acc": 0.575, "val_loss": 0.7125726938247681, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6664766371250153, "train_acc": 0.575, "val_loss": 0.6908618211746216, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6295725703239441, "train_acc": 0.575, "val_loss": 0.6593071222305298, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6354732811450958, "train_acc": 0.565, "val_loss": 0.660121738910675, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6220022439956665, "train_acc": 0.655, "val_loss": 0.5812162756919861, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5770236551761627, "train_acc": 0.72, "val_loss": 0.5690189599990845, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5085182338953018, "train_acc": 0.74, "val_loss": 0.5684950351715088, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5083729028701782, "train_acc": 0.735, "val_loss": 0.5364401340484619, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5038521736860275, "train_acc": 0.73, "val_loss": 0.4714969992637634, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4326779842376709, "train_acc": 0.79, "val_loss": 0.4092210829257965, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.40740321576595306, "train_acc": 0.825, "val_loss": 0.31724417209625244, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.33402882516384125, "train_acc": 0.855, "val_loss": 0.22554224729537964, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3987389802932739, "train_acc": 0.825, "val_loss": 0.2315230518579483, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7157906889915466, "final_val_loss": 0.6593071222305298, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.660121738910675, "final_val_loss": 0.2315230518579483, "initial_val_acc": 0.6, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 13}, "improvement": 0.42000000000000004, "first_improvement_epoch": 3}}
|
24
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9491, "learning_rate": 0.08859388536159946, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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[
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[
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"network.4.weight": [
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"network.4.bias": [
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"network.6.weight": [
[
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-4.867451, 0.874956, 1.654297, -0.291139, -6.043886, -0.920183, -3.105968, -0.819740]
std: [2.905148, 2.756788, 3.087320, 0.381875, 3.446732, 2.493874, 2.127492, 0.705157]
pca: [[0.447896, 0.379822, -0.354633, -0.283009, -0.399273, 0.020558, 0.063409, -0.534231, 0.000000, 0.000000], [-0.334354, 0.575948, -0.051251, -0.203660, 0.565484, -0.174511, 0.386695, -0.112376, 0.000000, 0.000000], [-0.400605, 0.593784, 0.228952, 0.020042, -0.447483, 0.199375, -0.381427, 0.220538, 0.000000, 0.000000], [-0.036622, 0.027710, 0.040847, 0.352693, -0.197891, 0.600428, 0.686584, 0.027540, 0.000000, 0.000000], [0.619075, 0.267416, 0.199312, -0.177401, 0.035800, -0.093663, 0.167242, 0.660313, 0.000000, 0.000000], [0.186804, 0.035058, 0.863235, 0.060022, 0.041381, -0.080201, 0.026641, -0.454141, 0.000000, 0.000000], [0.313598, 0.305456, -0.173735, 0.710377, 0.366513, 0.116323, -0.342617, -0.091019, 0.000000, 0.000000], [0.096323, -0.068028, 0.049370, -0.462520, 0.379581, 0.734931, -0.288957, -0.045068, 0.000000, 0.000000]]
fourier: [[45.723200, 48.595649, 57.260243, 60.493800, 438.070588], [46.065204, 48.561461, 58.912412, 58.997523, 78.746033], [53.902107, 54.914101, 63.058582, 63.600411, 148.886728], [5.720333, 5.724093, 6.452901, 6.762693, 26.202466], [56.843590, 57.114366, 57.376882, 63.948324, 543.949708], [39.192238, 39.230299, 39.652537, 42.417537, 82.816466], [36.054855, 38.125475, 38.129362, 38.994870, 279.537135], [11.059637, 11.598179, 12.340144, 13.756313, 73.776563]]
### 2
mean: [3.317629, -2.807230, -2.330351, -1.187412, -3.013591, -1.467184, 1.362163, -0.779226]
std: [4.967448, 2.421308, 3.144189, 2.152069, 3.189670, 2.621763, 1.438858, 0.385243]
pca: [[0.627702, -0.171881, -0.147647, 0.194653, -0.098348, 0.499155, 0.507144, 0.027100, 0.000000, 0.000000], [-0.304207, 0.157668, 0.481887, 0.642368, -0.392762, 0.149602, 0.087943, 0.231021, 0.000000, 0.000000], [-0.394027, -0.326799, -0.087712, 0.180357, 0.204571, -0.337980, 0.670694, -0.303008, 0.000000, 0.000000], [-0.238843, 0.786667, -0.419321, 0.046591, 0.194783, 0.236141, 0.228430, -0.015005, 0.000000, 0.000000], [-0.398359, -0.387145, -0.081113, 0.112607, 0.391462, 0.661969, -0.277311, -0.061829, 0.000000, 0.000000], [-0.330497, -0.141103, -0.022941, -0.569862, -0.285161, 0.169453, 0.320371, 0.576996, 0.000000, 0.000000], [0.180252, 0.107859, 0.448297, 0.002908, 0.721199, -0.094793, 0.151952, 0.450215, 0.000000, 0.000000], [-0.027115, 0.196292, 0.595304, -0.421122, -0.039870, 0.287347, 0.174448, -0.560727, 0.000000, 0.000000]]
fourier: [[86.406860, 91.879210, 101.338958, 102.837910, 298.586625], [42.261780, 44.182634, 49.875517, 50.140731, 252.650661], [51.548175, 51.639163, 65.236531, 68.445127, 209.731620], [33.839217, 37.128520, 40.360880, 48.598088, 106.867108], [51.187969, 52.279895, 66.080480, 69.664572, 271.223148], [44.068605, 45.744970, 52.954518, 55.490632, 132.046542], [24.573748, 25.740898, 29.949876, 30.198290, 122.594639], [5.695148, 5.892758, 5.911743, 6.945655, 70.130307]]
### 4
mean: [0.776544, 2.148564, -2.239143, 2.142424, 1.298343, -2.799215, -3.565166, -3.556536]
std: [1.751488, 3.231813, 3.133665, 3.552086, 1.994691, 3.883316, 4.021474, 4.032542]
pca: [[-0.186724, 0.308561, 0.105069, 0.498199, -0.388836, 0.553759, -0.155165, -0.358838, 0.000000, 0.000000], [-0.345310, 0.445423, -0.242671, 0.233703, 0.261121, -0.383398, -0.564941, 0.185787, 0.000000, 0.000000], [0.335604, 0.044423, 0.313232, 0.410196, 0.747810, 0.231224, 0.067588, 0.042059, 0.000000, 0.000000], [-0.380195, -0.119432, 0.732734, 0.252763, -0.174595, -0.384308, 0.168606, 0.183835, 0.000000, 0.000000], [-0.212169, 0.454468, -0.191527, -0.000343, -0.007722, 0.231785, 0.591727, 0.554829, 0.000000, 0.000000], [0.415692, -0.238459, -0.344488, 0.638480, -0.316440, -0.271712, 0.089993, 0.248894, 0.000000, 0.000000], [0.429418, 0.628648, 0.148295, -0.085423, -0.116097, -0.418425, 0.239038, -0.381334, 0.000000, 0.000000], [0.431858, 0.177618, 0.343091, -0.223777, -0.277935, 0.206323, -0.456499, 0.534747, 0.000000, 0.000000]]
fourier: [[30.363362, 33.117155, 35.492082, 36.372176, 69.888988], [54.959685, 59.614621, 66.939304, 67.559705, 193.370749], [54.209593, 56.552246, 64.929773, 65.544027, 201.522834], [59.772483, 66.449736, 70.797904, 73.620122, 192.818140], [34.726056, 36.867225, 41.409771, 41.814415, 116.850831], [65.533417, 71.943112, 78.984961, 81.347547, 251.929348], [71.470478, 72.454076, 81.553508, 82.189108, 320.864907], [70.611966, 73.203799, 82.902691, 83.372031, 320.088253]]
### 6
mean: [3.760953, -2.547132, 3.370381, -0.447203, 0.002248, 1.301455, 3.337925, -2.020542]
std: [5.566007, 3.920299, 4.857717, 0.346237, 0.270894, 1.630721, 4.897100, 3.504871]
pca: [[0.532970, 0.703776, 0.022063, -0.142844, 0.125118, 0.253553, -0.320069, -0.131775, 0.000000, 0.000000], [-0.375438, 0.015107, 0.123261, -0.141141, 0.617685, 0.215842, -0.328770, 0.536183, 0.000000, 0.000000], [0.465222, -0.020716, 0.136645, 0.340694, 0.234142, 0.150550, 0.618745, 0.433660, 0.000000, 0.000000], [-0.032347, 0.169643, 0.592033, -0.442425, -0.488242, -0.147948, 0.086662, 0.395162, 0.000000, 0.000000], [-0.024565, -0.176993, 0.773836, 0.212852, 0.228434, 0.157670, -0.054180, -0.493927, 0.000000, 0.000000], [0.156069, -0.371241, -0.034459, 0.163072, -0.439931, 0.678312, -0.345450, 0.192514, 0.000000, 0.000000], [0.468978, -0.316430, 0.090509, 0.167412, 0.071178, -0.585407, -0.503776, 0.205317, 0.000000, 0.000000], [-0.335575, 0.453861, 0.083325, 0.740228, -0.242530, -0.130007, -0.151819, 0.166578, 0.000000, 0.000000]]
fourier: [[95.767933, 101.669147, 111.836463, 115.822170, 338.485795], [66.959513, 71.609849, 79.461866, 82.023449, 229.241825], [83.121292, 89.342410, 98.119555, 100.857965, 303.334303], [5.740133, 5.822677, 7.452925, 8.101147, 40.248305], [4.036353, 4.159934, 4.583036, 6.346434, 6.385637], [27.617360, 29.938852, 33.285385, 34.078419, 117.130962], [83.557342, 90.110797, 99.283126, 101.944691, 300.413272], [59.666181, 64.153518, 71.789435, 72.970287, 181.848782]]
### 8
mean: [-6.191426]
std: [9.558801]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[164.691198, 174.528071, 192.827470, 199.103544, 557.228360]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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1.230829
],
[
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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"network.2.bias": [
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-4.867451, 0.874956, 1.654297, -0.291139, -6.043886, -0.920183, -3.105968, -0.819740]
std: [2.905148, 2.756788, 3.087320, 0.381875, 3.446732, 2.493874, 2.127492, 0.705157]
pca: [[0.447896, 0.379822, -0.354633, -0.283009, -0.399273, 0.020558, 0.063409, -0.534231, 0.000000, 0.000000], [-0.334354, 0.575948, -0.051251, -0.203660, 0.565484, -0.174511, 0.386695, -0.112376, 0.000000, 0.000000], [-0.400605, 0.593784, 0.228952, 0.020042, -0.447483, 0.199375, -0.381427, 0.220538, 0.000000, 0.000000], [-0.036622, 0.027710, 0.040847, 0.352693, -0.197891, 0.600428, 0.686584, 0.027540, 0.000000, 0.000000], [0.619075, 0.267416, 0.199312, -0.177401, 0.035800, -0.093663, 0.167242, 0.660313, 0.000000, 0.000000], [0.186804, 0.035058, 0.863235, 0.060022, 0.041381, -0.080201, 0.026641, -0.454141, 0.000000, 0.000000], [0.313598, 0.305456, -0.173735, 0.710377, 0.366513, 0.116323, -0.342617, -0.091019, 0.000000, 0.000000], [0.096323, -0.068028, 0.049370, -0.462520, 0.379581, 0.734931, -0.288957, -0.045068, 0.000000, 0.000000]]
fourier: [[45.723200, 48.595649, 57.260243, 60.493800, 438.070588], [46.065204, 48.561461, 58.912412, 58.997523, 78.746033], [53.902107, 54.914101, 63.058582, 63.600411, 148.886728], [5.720333, 5.724093, 6.452901, 6.762693, 26.202466], [56.843590, 57.114366, 57.376882, 63.948324, 543.949708], [39.192238, 39.230299, 39.652537, 42.417537, 82.816466], [36.054855, 38.125475, 38.129362, 38.994870, 279.537135], [11.059637, 11.598179, 12.340144, 13.756313, 73.776563]]
### 2
mean: [3.317629, -2.807230, -2.330351, -1.187412, -3.013591, -1.467184, 1.362163, -0.779226]
std: [4.967448, 2.421308, 3.144189, 2.152069, 3.189670, 2.621763, 1.438858, 0.385243]
pca: [[0.627702, -0.171881, -0.147647, 0.194653, -0.098348, 0.499155, 0.507144, 0.027100, 0.000000, 0.000000], [-0.304207, 0.157668, 0.481887, 0.642368, -0.392762, 0.149602, 0.087943, 0.231021, 0.000000, 0.000000], [-0.394027, -0.326799, -0.087712, 0.180357, 0.204571, -0.337980, 0.670694, -0.303008, 0.000000, 0.000000], [-0.238843, 0.786667, -0.419321, 0.046591, 0.194783, 0.236141, 0.228430, -0.015005, 0.000000, 0.000000], [-0.398359, -0.387145, -0.081113, 0.112607, 0.391462, 0.661969, -0.277311, -0.061829, 0.000000, 0.000000], [-0.330497, -0.141103, -0.022941, -0.569862, -0.285161, 0.169453, 0.320371, 0.576996, 0.000000, 0.000000], [0.180252, 0.107859, 0.448297, 0.002908, 0.721199, -0.094793, 0.151952, 0.450215, 0.000000, 0.000000], [-0.027115, 0.196292, 0.595304, -0.421122, -0.039870, 0.287347, 0.174448, -0.560727, 0.000000, 0.000000]]
fourier: [[86.406860, 91.879210, 101.338958, 102.837910, 298.586625], [42.261780, 44.182634, 49.875517, 50.140731, 252.650661], [51.548175, 51.639163, 65.236531, 68.445127, 209.731620], [33.839217, 37.128520, 40.360880, 48.598088, 106.867108], [51.187969, 52.279895, 66.080480, 69.664572, 271.223148], [44.068605, 45.744970, 52.954518, 55.490632, 132.046542], [24.573748, 25.740898, 29.949876, 30.198290, 122.594639], [5.695148, 5.892758, 5.911743, 6.945655, 70.130307]]
### 4
mean: [0.776544, 2.148564, -2.239143, 2.142424, 1.298343, -2.799215, -3.565166, -3.556536]
std: [1.751488, 3.231813, 3.133665, 3.552086, 1.994691, 3.883316, 4.021474, 4.032542]
pca: [[-0.186724, 0.308561, 0.105069, 0.498199, -0.388836, 0.553759, -0.155165, -0.358838, 0.000000, 0.000000], [-0.345310, 0.445423, -0.242671, 0.233703, 0.261121, -0.383398, -0.564941, 0.185787, 0.000000, 0.000000], [0.335604, 0.044423, 0.313232, 0.410196, 0.747810, 0.231224, 0.067588, 0.042059, 0.000000, 0.000000], [-0.380195, -0.119432, 0.732734, 0.252763, -0.174595, -0.384308, 0.168606, 0.183835, 0.000000, 0.000000], [-0.212169, 0.454468, -0.191527, -0.000343, -0.007722, 0.231785, 0.591727, 0.554829, 0.000000, 0.000000], [0.415692, -0.238459, -0.344488, 0.638480, -0.316440, -0.271712, 0.089993, 0.248894, 0.000000, 0.000000], [0.429418, 0.628648, 0.148295, -0.085423, -0.116097, -0.418425, 0.239038, -0.381334, 0.000000, 0.000000], [0.431858, 0.177618, 0.343091, -0.223777, -0.277935, 0.206323, -0.456499, 0.534747, 0.000000, 0.000000]]
fourier: [[30.363362, 33.117155, 35.492082, 36.372176, 69.888988], [54.959685, 59.614621, 66.939304, 67.559705, 193.370749], [54.209593, 56.552246, 64.929773, 65.544027, 201.522834], [59.772483, 66.449736, 70.797904, 73.620122, 192.818140], [34.726056, 36.867225, 41.409771, 41.814415, 116.850831], [65.533417, 71.943112, 78.984961, 81.347547, 251.929348], [71.470478, 72.454076, 81.553508, 82.189108, 320.864907], [70.611966, 73.203799, 82.902691, 83.372031, 320.088253]]
### 6
mean: [3.760953, -2.547132, 3.370381, -0.447203, 0.002248, 1.301455, 3.337925, -2.020542]
std: [5.566007, 3.920299, 4.857717, 0.346237, 0.270894, 1.630721, 4.897100, 3.504871]
pca: [[0.532970, 0.703776, 0.022063, -0.142844, 0.125118, 0.253553, -0.320069, -0.131775, 0.000000, 0.000000], [-0.375438, 0.015107, 0.123261, -0.141141, 0.617685, 0.215842, -0.328770, 0.536183, 0.000000, 0.000000], [0.465222, -0.020716, 0.136645, 0.340694, 0.234142, 0.150550, 0.618745, 0.433660, 0.000000, 0.000000], [-0.032347, 0.169643, 0.592033, -0.442425, -0.488242, -0.147948, 0.086662, 0.395162, 0.000000, 0.000000], [-0.024565, -0.176993, 0.773836, 0.212852, 0.228434, 0.157670, -0.054180, -0.493927, 0.000000, 0.000000], [0.156069, -0.371241, -0.034459, 0.163072, -0.439931, 0.678312, -0.345450, 0.192514, 0.000000, 0.000000], [0.468978, -0.316430, 0.090509, 0.167412, 0.071178, -0.585407, -0.503776, 0.205317, 0.000000, 0.000000], [-0.335575, 0.453861, 0.083325, 0.740228, -0.242530, -0.130007, -0.151819, 0.166578, 0.000000, 0.000000]]
fourier: [[95.767933, 101.669147, 111.836463, 115.822170, 338.485795], [66.959513, 71.609849, 79.461866, 82.023449, 229.241825], [83.121292, 89.342410, 98.119555, 100.857965, 303.334303], [5.740133, 5.822677, 7.452925, 8.101147, 40.248305], [4.036353, 4.159934, 4.583036, 6.346434, 6.385637], [27.617360, 29.938852, 33.285385, 34.078419, 117.130962], [83.557342, 90.110797, 99.283126, 101.944691, 300.413272], [59.666181, 64.153518, 71.789435, 72.970287, 181.848782]]
### 8
mean: [-6.191426]
std: [9.558801]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[164.691198, 174.528071, 192.827470, 199.103544, 557.228360]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7185269594192505, "train_acc": 0.435, "val_loss": 0.697492778301239, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6958684325218201, "train_acc": 0.405, "val_loss": 0.6709507703781128, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6620474755764008, "train_acc": 0.565, "val_loss": 0.5888215899467468, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6500481963157654, "train_acc": 0.52, "val_loss": 0.5505877137184143, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5210751891136169, "train_acc": 0.775, "val_loss": 0.6473122239112854, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5061692446470261, "train_acc": 0.715, "val_loss": 0.4772998094558716, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4690919518470764, "train_acc": 0.775, "val_loss": 0.5579160451889038, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5098022520542145, "train_acc": 0.77, "val_loss": 0.49950507283210754, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4348398745059967, "train_acc": 0.79, "val_loss": 0.4540084898471832, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4157487154006958, "train_acc": 0.81, "val_loss": 0.39710772037506104, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.405534565448761, "train_acc": 0.825, "val_loss": 0.3900759220123291, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.419401079416275, "train_acc": 0.825, "val_loss": 0.4000452160835266, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3884667903184891, "train_acc": 0.835, "val_loss": 0.41234493255615234, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.697492778301239, "final_val_loss": 0.5888215899467468, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5505877137184143, "final_val_loss": 0.41234493255615234, "initial_val_acc": 0.76, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 9}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
25
|
{"target_pattern": "alternating", "degraded_accuracy": 0.74, "improved_accuracy": 0.96, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5108, "learning_rate": 0.09399438147876214, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-1.203245,
0.087286
],
[
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],
[
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-1.564103,
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0.342486
],
[
0.63906,
-1.189513,
-0.010685,
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-0.04712
],
[
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-0.44542,
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0.467131
],
[
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0.065724
],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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],
[
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"network.2.bias": [
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"network.4.weight": [
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"network.4.bias": [
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"network.6.weight": [
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.305339, -3.725253, 0.789842, -3.214538, 0.400818, 2.819456, 3.954008]
std: [3.320497, 2.437006, 3.215750, 3.501205, 1.576347, 3.011676, 3.567180]
pca: [[0.529259, 0.089275, 0.149871, 0.314038, 0.633621, 0.093807, -0.424922, 0.000000, 0.000000, 0.000000], [0.279738, -0.391137, -0.111188, 0.566375, 0.019748, -0.167916, 0.637989, 0.000000, 0.000000, 0.000000], [-0.276929, -0.079387, 0.888445, 0.039685, 0.144761, 0.213480, 0.244067, 0.000000, 0.000000, 0.000000], [0.565467, 0.085773, 0.128740, -0.037664, -0.561524, 0.581914, 0.031057, 0.000000, 0.000000, 0.000000], [-0.194335, -0.068279, 0.183323, 0.608792, -0.481915, -0.239877, -0.513374, 0.000000, 0.000000, 0.000000], [-0.444863, -0.147507, -0.352087, 0.320398, 0.172088, 0.721739, -0.056539, 0.000000, 0.000000, 0.000000], [-0.097567, 0.893847, -0.041169, 0.322991, 0.003684, -0.018945, 0.291768, 0.000000, 0.000000, 0.000000]]
fourier: [[48.599381, 48.884980, 49.676373, 58.749033, 297.480485], [36.906607, 37.212245, 47.174069, 49.454966, 335.272773], [54.339730, 55.710821, 56.376688, 59.112025, 71.085768], [51.520974, 57.101944, 59.118269, 61.462866, 289.308426], [21.462457, 24.373972, 26.557087, 27.912404, 36.073607], [40.437272, 42.077663, 43.491775, 58.168835, 253.751069], [61.653825, 64.947120, 72.577049, 74.520618, 355.860743]]
### 2
mean: [-2.856976, -4.719483, -4.336914, -4.307643, -4.187852, -4.958751, -2.081189]
std: [1.439861, 4.770432, 2.388952, 3.728851, 5.608580, 5.196698, 1.234796]
pca: [[0.045360, 0.176085, 0.703121, 0.549137, -0.392877, -0.080340, 0.100988, 0.000000, 0.000000, 0.000000], [0.562473, 0.147540, -0.284663, -0.112480, -0.313822, -0.328455, 0.601502, 0.000000, 0.000000, 0.000000], [0.113152, 0.356452, -0.489883, 0.722355, 0.268499, -0.019981, -0.160829, 0.000000, 0.000000, 0.000000], [0.429101, 0.176331, 0.258941, -0.213401, 0.273612, -0.564821, -0.527544, 0.000000, 0.000000, 0.000000], [-0.302546, 0.869466, -0.016104, -0.333372, -0.169703, 0.106583, -0.030652, 0.000000, 0.000000, 0.000000], [0.622607, 0.070147, 0.068860, -0.081494, -0.096699, 0.729253, -0.234301, 0.000000, 0.000000, 0.000000], [0.073911, 0.167881, 0.335487, -0.026107, 0.749706, 0.151889, 0.517678, 0.000000, 0.000000, 0.000000]]
fourier: [[22.027472, 22.405702, 23.261514, 25.446124, 257.127836], [69.769169, 71.355255, 78.698464, 80.912713, 424.753483], [37.082382, 39.754224, 43.889734, 46.210634, 390.322282], [55.928705, 57.679990, 58.649433, 65.151701, 387.687859], [96.514566, 102.863054, 109.369356, 110.624012, 376.906674], [78.089089, 79.248377, 88.777248, 90.480228, 446.287651], [18.430085, 18.928727, 18.933205, 21.246714, 187.306979]]
### 4
mean: [-0.117389, 0.770667, -0.776052, -0.710515, -0.755458, -0.383396, -0.171387]
std: [0.449154, 1.672959, 0.563301, 1.112803, 0.456275, 0.580545, 0.627567]
pca: [[-0.188845, -0.224327, -0.100286, -0.333914, -0.351950, 0.698755, -0.424655, 0.000000, 0.000000, 0.000000], [0.723408, -0.574028, 0.137659, 0.191141, 0.225681, 0.177121, -0.096868, 0.000000, 0.000000, 0.000000], [-0.249162, -0.040634, 0.258922, -0.210035, 0.575398, 0.466004, 0.526184, 0.000000, 0.000000, 0.000000], [-0.481195, -0.381203, -0.426714, 0.395221, 0.437456, -0.083259, -0.294196, 0.000000, 0.000000, 0.000000], [-0.201852, 0.024231, 0.405658, 0.759004, -0.345288, 0.283162, 0.136450, 0.000000, 0.000000, 0.000000], [-0.251707, -0.184512, 0.744965, -0.205999, 0.122903, -0.320114, -0.433141, 0.000000, 0.000000, 0.000000], [0.208056, 0.662246, 0.048328, 0.182015, 0.410390, 0.271338, -0.490544, 0.000000, 0.000000, 0.000000]]
fourier: [[6.872313, 6.880398, 7.040203, 7.444558, 10.565030], [25.479730, 28.605533, 28.930613, 33.604230, 69.360007], [8.745341, 9.654425, 9.835479, 10.437464, 69.844669], [16.732835, 18.226037, 18.432539, 18.921858, 63.946389], [7.122167, 7.937974, 7.976858, 8.785939, 67.991216], [8.876796, 9.584358, 9.926083, 9.968653, 34.505641], [9.047570, 10.219466, 10.594079, 11.020189, 15.424802]]
### 6
mean: [0.459000, 0.898358, -0.545220, 0.371481, -0.345729, 0.624801, 0.318938]
std: [1.235640, 1.412856, 0.332173, 1.464159, 0.047220, 1.256415, 1.627566]
pca: [[-0.390779, 0.244747, -0.455836, 0.103813, -0.219000, 0.594718, -0.408873, 0.000000, 0.000000, 0.000000], [-0.446726, -0.374439, 0.575436, 0.223036, -0.177081, 0.400739, 0.295654, 0.000000, 0.000000, 0.000000], [0.100519, 0.812455, 0.330911, -0.044440, 0.205293, 0.282271, 0.310666, 0.000000, 0.000000, 0.000000], [0.463177, -0.030123, -0.180501, 0.838211, -0.066379, 0.125277, 0.171118, 0.000000, 0.000000, 0.000000], [0.010642, -0.278048, -0.092551, -0.000325, 0.893929, 0.331695, -0.069855, 0.000000, 0.000000, 0.000000], [-0.397459, 0.023099, -0.533938, -0.014649, 0.069818, -0.151982, 0.726785, 0.000000, 0.000000, 0.000000], [0.514786, -0.247101, -0.159214, -0.484449, -0.264851, 0.507177, 0.294145, 0.000000, 0.000000, 0.000000]]
fourier: [[19.036186, 21.416866, 21.496648, 24.389272, 41.310017], [21.618581, 24.287171, 24.501152, 28.235283, 80.852211], [4.705661, 5.261136, 5.431639, 6.750192, 49.069830], [22.506121, 25.306337, 25.450191, 29.048431, 33.433288], [0.678239, 0.715196, 0.745783, 0.779250, 31.115579], [19.312203, 21.714875, 21.838858, 24.928429, 56.232098], [25.060589, 28.190446, 28.309887, 28.704421, 32.169576]]
### 8
mean: [-1.224878]
std: [3.231457]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.722918, 52.587204, 55.638361, 64.691779, 110.238969]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.488043,
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-1.203245,
0.087286
],
[
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-0.766652,
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],
[
0.412161,
0.727291,
-1.564103,
0.406812,
0.342486
],
[
0.63906,
-1.189513,
-0.010685,
-0.997026,
-0.04712
],
[
-0.363309,
0.584016,
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0.467131
],
[
-0.94704,
0.975407,
0.341804,
0.709063,
0.065724
],
[
0.871592,
0.26691,
0.531031,
0.069138,
1.088662
]
],
"network.0.bias": [
0.131845,
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0.924096,
0.376243,
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],
"network.2.weight": [
[
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0.323109,
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[
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0.559759,
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0.062107
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[
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0.324295,
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[
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0.066017,
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0.011928
],
[
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0.89612,
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0.072905,
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],
[
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0.743885,
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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0.831725,
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[
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[
0.329904,
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[
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0.195815,
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0.083023,
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[
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0.196281,
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"network.4.bias": [
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"network.6.weight": [
[
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],
[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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"network.8.bias": [
-0.589552
]
}
## Activation Signature
### 0
mean: [-3.305339, -3.725253, 0.789842, -3.214538, 0.400818, 2.819456, 3.954008]
std: [3.320497, 2.437006, 3.215750, 3.501205, 1.576347, 3.011676, 3.567180]
pca: [[0.529259, 0.089275, 0.149871, 0.314038, 0.633621, 0.093807, -0.424922, 0.000000, 0.000000, 0.000000], [0.279738, -0.391137, -0.111188, 0.566375, 0.019748, -0.167916, 0.637989, 0.000000, 0.000000, 0.000000], [-0.276929, -0.079387, 0.888445, 0.039685, 0.144761, 0.213480, 0.244067, 0.000000, 0.000000, 0.000000], [0.565467, 0.085773, 0.128740, -0.037664, -0.561524, 0.581914, 0.031057, 0.000000, 0.000000, 0.000000], [-0.194335, -0.068279, 0.183323, 0.608792, -0.481915, -0.239877, -0.513374, 0.000000, 0.000000, 0.000000], [-0.444863, -0.147507, -0.352087, 0.320398, 0.172088, 0.721739, -0.056539, 0.000000, 0.000000, 0.000000], [-0.097567, 0.893847, -0.041169, 0.322991, 0.003684, -0.018945, 0.291768, 0.000000, 0.000000, 0.000000]]
fourier: [[48.599381, 48.884980, 49.676373, 58.749033, 297.480485], [36.906607, 37.212245, 47.174069, 49.454966, 335.272773], [54.339730, 55.710821, 56.376688, 59.112025, 71.085768], [51.520974, 57.101944, 59.118269, 61.462866, 289.308426], [21.462457, 24.373972, 26.557087, 27.912404, 36.073607], [40.437272, 42.077663, 43.491775, 58.168835, 253.751069], [61.653825, 64.947120, 72.577049, 74.520618, 355.860743]]
### 2
mean: [-2.856976, -4.719483, -4.336914, -4.307643, -4.187852, -4.958751, -2.081189]
std: [1.439861, 4.770432, 2.388952, 3.728851, 5.608580, 5.196698, 1.234796]
pca: [[0.045360, 0.176085, 0.703121, 0.549137, -0.392877, -0.080340, 0.100988, 0.000000, 0.000000, 0.000000], [0.562473, 0.147540, -0.284663, -0.112480, -0.313822, -0.328455, 0.601502, 0.000000, 0.000000, 0.000000], [0.113152, 0.356452, -0.489883, 0.722355, 0.268499, -0.019981, -0.160829, 0.000000, 0.000000, 0.000000], [0.429101, 0.176331, 0.258941, -0.213401, 0.273612, -0.564821, -0.527544, 0.000000, 0.000000, 0.000000], [-0.302546, 0.869466, -0.016104, -0.333372, -0.169703, 0.106583, -0.030652, 0.000000, 0.000000, 0.000000], [0.622607, 0.070147, 0.068860, -0.081494, -0.096699, 0.729253, -0.234301, 0.000000, 0.000000, 0.000000], [0.073911, 0.167881, 0.335487, -0.026107, 0.749706, 0.151889, 0.517678, 0.000000, 0.000000, 0.000000]]
fourier: [[22.027472, 22.405702, 23.261514, 25.446124, 257.127836], [69.769169, 71.355255, 78.698464, 80.912713, 424.753483], [37.082382, 39.754224, 43.889734, 46.210634, 390.322282], [55.928705, 57.679990, 58.649433, 65.151701, 387.687859], [96.514566, 102.863054, 109.369356, 110.624012, 376.906674], [78.089089, 79.248377, 88.777248, 90.480228, 446.287651], [18.430085, 18.928727, 18.933205, 21.246714, 187.306979]]
### 4
mean: [-0.117389, 0.770667, -0.776052, -0.710515, -0.755458, -0.383396, -0.171387]
std: [0.449154, 1.672959, 0.563301, 1.112803, 0.456275, 0.580545, 0.627567]
pca: [[-0.188845, -0.224327, -0.100286, -0.333914, -0.351950, 0.698755, -0.424655, 0.000000, 0.000000, 0.000000], [0.723408, -0.574028, 0.137659, 0.191141, 0.225681, 0.177121, -0.096868, 0.000000, 0.000000, 0.000000], [-0.249162, -0.040634, 0.258922, -0.210035, 0.575398, 0.466004, 0.526184, 0.000000, 0.000000, 0.000000], [-0.481195, -0.381203, -0.426714, 0.395221, 0.437456, -0.083259, -0.294196, 0.000000, 0.000000, 0.000000], [-0.201852, 0.024231, 0.405658, 0.759004, -0.345288, 0.283162, 0.136450, 0.000000, 0.000000, 0.000000], [-0.251707, -0.184512, 0.744965, -0.205999, 0.122903, -0.320114, -0.433141, 0.000000, 0.000000, 0.000000], [0.208056, 0.662246, 0.048328, 0.182015, 0.410390, 0.271338, -0.490544, 0.000000, 0.000000, 0.000000]]
fourier: [[6.872313, 6.880398, 7.040203, 7.444558, 10.565030], [25.479730, 28.605533, 28.930613, 33.604230, 69.360007], [8.745341, 9.654425, 9.835479, 10.437464, 69.844669], [16.732835, 18.226037, 18.432539, 18.921858, 63.946389], [7.122167, 7.937974, 7.976858, 8.785939, 67.991216], [8.876796, 9.584358, 9.926083, 9.968653, 34.505641], [9.047570, 10.219466, 10.594079, 11.020189, 15.424802]]
### 6
mean: [0.459000, 0.898358, -0.545220, 0.371481, -0.345729, 0.624801, 0.318938]
std: [1.235640, 1.412856, 0.332173, 1.464159, 0.047220, 1.256415, 1.627566]
pca: [[-0.390779, 0.244747, -0.455836, 0.103813, -0.219000, 0.594718, -0.408873, 0.000000, 0.000000, 0.000000], [-0.446726, -0.374439, 0.575436, 0.223036, -0.177081, 0.400739, 0.295654, 0.000000, 0.000000, 0.000000], [0.100519, 0.812455, 0.330911, -0.044440, 0.205293, 0.282271, 0.310666, 0.000000, 0.000000, 0.000000], [0.463177, -0.030123, -0.180501, 0.838211, -0.066379, 0.125277, 0.171118, 0.000000, 0.000000, 0.000000], [0.010642, -0.278048, -0.092551, -0.000325, 0.893929, 0.331695, -0.069855, 0.000000, 0.000000, 0.000000], [-0.397459, 0.023099, -0.533938, -0.014649, 0.069818, -0.151982, 0.726785, 0.000000, 0.000000, 0.000000], [0.514786, -0.247101, -0.159214, -0.484449, -0.264851, 0.507177, 0.294145, 0.000000, 0.000000, 0.000000]]
fourier: [[19.036186, 21.416866, 21.496648, 24.389272, 41.310017], [21.618581, 24.287171, 24.501152, 28.235283, 80.852211], [4.705661, 5.261136, 5.431639, 6.750192, 49.069830], [22.506121, 25.306337, 25.450191, 29.048431, 33.433288], [0.678239, 0.715196, 0.745783, 0.779250, 31.115579], [19.312203, 21.714875, 21.838858, 24.928429, 56.232098], [25.060589, 28.190446, 28.309887, 28.704421, 32.169576]]
### 8
mean: [-1.224878]
std: [3.231457]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.722918, 52.587204, 55.638361, 64.691779, 110.238969]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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0.0, 0.0], "fourier": [25.060588965070203, 28.190445801608174, 28.309887154087715, 28.704420566558838, 32.16957644982836]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.2248775959014893, "std": 3.231457471847534, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [49.72291797089602, 52.587203753644076, 55.638361471509775, 64.6917792465555, 110.23896872997284]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.488043, -0.778268, -0.073584, -1.203245, 0.087286], [-0.638605, -0.304356, -0.021111, -0.766652, -0.186749], [0.412161, 0.727291, -1.564103, 0.406812, 0.342486], [0.63906, -1.189513, -0.010685, -0.997026, -0.04712], [-0.363309, 0.584016, -0.44542, 0.137479, 0.467131], [-0.94704, 0.975407, 0.341804, 0.709063, 0.065724], [0.871592, 0.26691, 0.531031, 0.069138, 1.088662]], "network.0.bias": [0.131845, -0.457475, 0.924096, 0.376243, -0.151782, -0.09501, -0.217219], "network.2.weight": [[-0.629024, 0.323109, -0.020414, -0.074786, 0.677275, -0.644961, -0.160789], [0.571274, -0.180994, -1.435894, 0.559759, -0.667945, -0.780933, 0.062107], [-0.386221, -0.249446, -0.729901, -0.154029, 0.324295, -0.332598, -0.475787], [0.475645, -0.060576, -0.794225, 0.066017, -0.644693, -0.821299, 0.011928], [-0.736707, -0.198123, 0.89612, -0.011975, 0.072905, -0.037415, -1.486636], [0.183828, -0.053182, -1.420169, 0.743885, -0.690412, -0.982231, 0.257855], [-0.135746, -0.036637, 0.046541, -0.281217, -0.220386, -0.353869, -0.147781]], "network.2.bias": [-0.623844, 0.148754, -0.348933, -0.079556, 0.392865, -0.242097, -0.219633], "network.4.weight": [[0.212494, -0.240326, -0.000666, -0.071394, -0.021262, -0.2204, -0.003164], [0.109078, 0.669827, -0.471806, 0.184042, 0.952136, 0.831725, -0.276264], [0.147722, -0.430445, -0.316537, -0.218685, -0.182741, -0.135943, -0.105311], [-0.207369, -0.290709, -0.582385, -0.556328, -0.169602, -0.669219, -0.258653], [0.329904, -0.276258, -0.213618, -0.599791, -0.18217, -0.043112, -0.241096], [0.536912, -0.678302, 0.195815, -0.464688, -0.096813, 0.083023, -0.259399], [0.086807, 0.31555, 0.350835, 0.355867, -0.229088, 0.196281, 0.013404]], "network.4.bias": [-0.01097, 0.02786, -0.577367, -0.39535, -0.582917, -0.218401, -0.190453], "network.6.weight": [[0.212711, 0.64233, 0.135816, -0.687292, -0.064012, 0.206474, 0.354478], [0.277267, 0.808052, 0.070657, 0.194681, -0.297101, -0.486237, 0.136713], [0.332602, -0.263933, -0.630186, -0.57232, -0.155221, 0.387681, 0.268152], [-0.030949, -0.79064, -0.510679, -0.011941, 0.032315, -0.124535, -0.313459], [0.107064, 0.013108, -0.270609, 0.199174, -0.128546, 0.296214, -0.121054], [-0.169469, 0.678782, 0.279139, -0.19353, -0.548539, 0.783929, 0.267809], [-0.115024, -0.854651, -0.426132, 0.049811, 0.158139, -0.196838, -0.43607]], "network.6.bias": [-0.074137, 0.260919, -0.370649, 1.014505, -0.342815, 0.07289, 1.024477], "network.8.weight": [[0.452276, 0.882839, -0.256454, -1.360743, -0.292035, 0.445449, -1.295455]], "network.8.bias": [-0.589552]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7067833542823792, "train_acc": 0.535, "val_loss": 0.6501774787902832, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6813414394855499, "train_acc": 0.545, "val_loss": 0.6568629741668701, "val_acc": 0.7}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6502419114112854, "train_acc": 0.675, "val_loss": 0.6304395794868469, "val_acc": 0.76}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6091303825378418, "train_acc": 0.725, "val_loss": 0.5987702012062073, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6247949004173279, "train_acc": 0.66, "val_loss": 0.6861827969551086, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.46575964987277985, "train_acc": 0.85, "val_loss": 0.41377022862434387, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.39023520052433014, "train_acc": 0.865, "val_loss": 0.33717331290245056, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.28973716497421265, "train_acc": 0.92, "val_loss": 0.34478750824928284, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.23618856072425842, "train_acc": 0.955, "val_loss": 0.2854097783565521, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.18150275945663452, "train_acc": 0.96, "val_loss": 0.21430599689483643, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.19892863929271698, "train_acc": 0.96, "val_loss": 0.19346244633197784, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.16919096931815147, "train_acc": 0.965, "val_loss": 0.31216585636138916, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.23364712297916412, "train_acc": 0.935, "val_loss": 0.19490087032318115, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.23961687088012695, "train_acc": 0.95, "val_loss": 0.17681755125522614, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6501774787902832, "final_val_loss": 0.5987702012062073, "initial_val_acc": 0.66, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.6861827969551086, "final_val_loss": 0.17681755125522614, "initial_val_acc": 0.84, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
26
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{"target_pattern": "has_majority", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5499, "learning_rate": 0.07940362044088127, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.2.bias": [
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[
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-0.553976,
-0.215366,
-0.292099,
0.049498
],
[
-0.113558,
0.532352,
0.71551,
0.40571,
0.130653,
0.116006
],
[
-0.259285,
0.179924,
0.455744,
-0.003701,
-0.150907,
0.028262
]
],
"network.6.bias": [
-0.504185,
-0.795332,
0.36259,
0.593721,
-0.146637,
-0.183367
],
"network.8.weight": [
[
-0.097337,
0.24443,
0.57099,
0.355711,
-0.357767,
-0.181895
]
],
"network.8.bias": [
0.271718
]
}
## Activation Signature
### 0
mean: [1.477927, -1.195546, -4.234101, -0.408327, 2.684537, -1.810453]
std: [1.392820, 2.511950, 2.281043, 1.898349, 2.398950, 3.005043]
pca: [[0.181616, 0.266599, -0.163285, -0.383605, 0.848809, -0.040623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081862, 0.037454, 0.963898, 0.089618, 0.232813, 0.023722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.547563, -0.302210, -0.084954, -0.118993, 0.177643, 0.745593, 0.000000, 0.000000, 0.000000, 0.000000], [0.003800, -0.561681, -0.136599, 0.649801, 0.431527, -0.239549, 0.000000, 0.000000, 0.000000, 0.000000], [0.579093, 0.290157, -0.023385, 0.456533, 0.015943, 0.609292, 0.000000, 0.000000, 0.000000, 0.000000], [-0.570198, 0.660693, -0.133472, 0.447206, 0.085409, -0.115141, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.921797, 23.404066, 23.890144, 26.711556, 133.013411], [40.217877, 44.530845, 54.460964, 54.794084, 107.599142], [35.666841, 38.235454, 44.391626, 47.575027, 381.069130], [31.793771, 33.271641, 34.259395, 34.426360, 36.749386], [37.248450, 40.440104, 46.576123, 51.240009, 241.608330], [43.062141, 45.677292, 54.190195, 55.126422, 162.940770]]
### 2
mean: [0.146954, 1.573830, 1.093920, 0.753919, -1.298305, -2.910633]
std: [0.775602, 2.160257, 0.891300, 0.902309, 1.263526, 1.407139]
pca: [[-0.044952, -0.363873, -0.185442, 0.687065, 0.590656, -0.101259, 0.000000, 0.000000, 0.000000, 0.000000], [0.776140, -0.306840, -0.204326, -0.052598, -0.046047, 0.506774, 0.000000, 0.000000, 0.000000, 0.000000], [0.182589, 0.540488, 0.394497, -0.127165, 0.662121, 0.253634, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135694, 0.551538, -0.287462, 0.540303, -0.311529, 0.453631, 0.000000, 0.000000, 0.000000, 0.000000], [-0.379743, -0.410124, 0.585550, 0.093896, -0.109366, 0.569164, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446800, -0.094461, -0.585432, -0.456355, 0.318730, 0.372649, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.617844, 12.666044, 13.225897, 13.424190, 14.325371], [36.591074, 37.609850, 39.748449, 45.197749, 141.644730], [12.709520, 12.990477, 15.596283, 18.416510, 98.452790], [15.070185, 15.493347, 16.173827, 16.272264, 67.852723], [20.728325, 21.841804, 22.634235, 23.619584, 116.847473], [21.900799, 22.275746, 24.827552, 26.063706, 261.956947]]
### 4
mean: [-0.158420, -1.578342, 0.853786, 0.202333, -0.213544, -1.534623]
std: [1.934893, 0.866668, 1.983762, 0.794315, 0.712732, 0.790974]
pca: [[-0.619463, -0.350806, 0.377567, 0.010875, 0.492265, 0.328939, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235898, 0.641650, -0.286806, -0.002792, -0.065823, 0.667862, 0.000000, 0.000000, 0.000000, 0.000000], [0.638886, 0.079689, 0.510521, -0.355984, 0.217587, 0.388297, 0.000000, 0.000000, 0.000000, 0.000000], [0.255000, -0.056667, 0.174281, 0.923062, -0.021311, 0.221114, 0.000000, 0.000000, 0.000000, 0.000000], [0.221818, 0.123220, -0.465804, 0.091218, 0.827843, -0.158097, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195487, 0.663684, 0.516920, 0.113069, 0.142193, -0.470211, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.794926, 31.728485, 32.241316, 35.915218, 37.076234], [13.523892, 15.043308, 16.113860, 18.519188, 142.050829], [33.680556, 35.426947, 36.722632, 40.966875, 76.840722], [14.005697, 14.092361, 14.313895, 15.994383, 18.209975], [10.878514, 11.306956, 12.779978, 12.780169, 19.218915], [13.912478, 14.199835, 14.367278, 14.525057, 138.116023]]
### 6
mean: [-0.858875, -1.190978, 0.021244, 0.109615, 0.833196, 0.161272]
std: [0.379706, 0.428720, 1.457796, 1.443310, 1.550668, 0.847646]
pca: [[0.089757, 0.613367, -0.447764, -0.021712, 0.574017, 0.292001, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136160, 0.445434, 0.696682, -0.505619, -0.033264, 0.202300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530650, -0.379783, -0.019314, -0.368739, 0.600810, -0.277237, 0.000000, 0.000000, 0.000000, 0.000000], [-0.528913, -0.124540, 0.190074, 0.535447, 0.072079, 0.613771, 0.000000, 0.000000, 0.000000, 0.000000], [0.561906, -0.509354, 0.117278, -0.245439, 0.270580, 0.526890, 0.000000, 0.000000, 0.000000, 0.000000], [0.310367, 0.078626, 0.513698, 0.510849, 0.479600, -0.377654, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.437107, 5.895350, 6.735802, 7.794356, 77.298735], [6.813348, 7.131131, 7.526625, 8.267258, 107.188031], [20.314377, 24.447720, 24.589629, 28.846973, 29.158255], [19.160695, 24.589846, 24.760946, 27.093406, 29.131318], [25.500643, 26.650909, 27.915215, 31.432485, 74.987604], [14.514494, 14.534005, 14.770274, 16.346278, 17.144571]]
### 8
mean: [0.422328]
std: [1.136956]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.246530, 19.372925, 22.799556, 23.719633, 38.009562]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.047877,
0.397524,
0.516765,
0.002516,
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],
[
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[
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[
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],
[
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0.061915
],
[
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]
],
"network.0.bias": [
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0.344296,
-1.033822,
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0.178597
],
"network.2.weight": [
[
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],
[
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0.87238,
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],
[
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],
[
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],
[
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[
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0.00688
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.627798
],
[
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0.890735,
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0.123062,
0.310649
],
[
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0.392129,
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0.094106,
0.063916
],
[
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0.317922,
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0.013297
],
[
0.196214,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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[
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0.71551,
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],
[
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0.028262
]
],
"network.6.bias": [
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0.36259,
0.593721,
-0.146637,
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],
"network.8.weight": [
[
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0.24443,
0.57099,
0.355711,
-0.357767,
-0.181895
]
],
"network.8.bias": [
0.271718
]
}
## Activation Signature
### 0
mean: [1.477927, -1.195546, -4.234101, -0.408327, 2.684537, -1.810453]
std: [1.392820, 2.511950, 2.281043, 1.898349, 2.398950, 3.005043]
pca: [[0.181616, 0.266599, -0.163285, -0.383605, 0.848809, -0.040623, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081862, 0.037454, 0.963898, 0.089618, 0.232813, 0.023722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.547563, -0.302210, -0.084954, -0.118993, 0.177643, 0.745593, 0.000000, 0.000000, 0.000000, 0.000000], [0.003800, -0.561681, -0.136599, 0.649801, 0.431527, -0.239549, 0.000000, 0.000000, 0.000000, 0.000000], [0.579093, 0.290157, -0.023385, 0.456533, 0.015943, 0.609292, 0.000000, 0.000000, 0.000000, 0.000000], [-0.570198, 0.660693, -0.133472, 0.447206, 0.085409, -0.115141, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.921797, 23.404066, 23.890144, 26.711556, 133.013411], [40.217877, 44.530845, 54.460964, 54.794084, 107.599142], [35.666841, 38.235454, 44.391626, 47.575027, 381.069130], [31.793771, 33.271641, 34.259395, 34.426360, 36.749386], [37.248450, 40.440104, 46.576123, 51.240009, 241.608330], [43.062141, 45.677292, 54.190195, 55.126422, 162.940770]]
### 2
mean: [0.146954, 1.573830, 1.093920, 0.753919, -1.298305, -2.910633]
std: [0.775602, 2.160257, 0.891300, 0.902309, 1.263526, 1.407139]
pca: [[-0.044952, -0.363873, -0.185442, 0.687065, 0.590656, -0.101259, 0.000000, 0.000000, 0.000000, 0.000000], [0.776140, -0.306840, -0.204326, -0.052598, -0.046047, 0.506774, 0.000000, 0.000000, 0.000000, 0.000000], [0.182589, 0.540488, 0.394497, -0.127165, 0.662121, 0.253634, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135694, 0.551538, -0.287462, 0.540303, -0.311529, 0.453631, 0.000000, 0.000000, 0.000000, 0.000000], [-0.379743, -0.410124, 0.585550, 0.093896, -0.109366, 0.569164, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446800, -0.094461, -0.585432, -0.456355, 0.318730, 0.372649, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.617844, 12.666044, 13.225897, 13.424190, 14.325371], [36.591074, 37.609850, 39.748449, 45.197749, 141.644730], [12.709520, 12.990477, 15.596283, 18.416510, 98.452790], [15.070185, 15.493347, 16.173827, 16.272264, 67.852723], [20.728325, 21.841804, 22.634235, 23.619584, 116.847473], [21.900799, 22.275746, 24.827552, 26.063706, 261.956947]]
### 4
mean: [-0.158420, -1.578342, 0.853786, 0.202333, -0.213544, -1.534623]
std: [1.934893, 0.866668, 1.983762, 0.794315, 0.712732, 0.790974]
pca: [[-0.619463, -0.350806, 0.377567, 0.010875, 0.492265, 0.328939, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235898, 0.641650, -0.286806, -0.002792, -0.065823, 0.667862, 0.000000, 0.000000, 0.000000, 0.000000], [0.638886, 0.079689, 0.510521, -0.355984, 0.217587, 0.388297, 0.000000, 0.000000, 0.000000, 0.000000], [0.255000, -0.056667, 0.174281, 0.923062, -0.021311, 0.221114, 0.000000, 0.000000, 0.000000, 0.000000], [0.221818, 0.123220, -0.465804, 0.091218, 0.827843, -0.158097, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195487, 0.663684, 0.516920, 0.113069, 0.142193, -0.470211, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.794926, 31.728485, 32.241316, 35.915218, 37.076234], [13.523892, 15.043308, 16.113860, 18.519188, 142.050829], [33.680556, 35.426947, 36.722632, 40.966875, 76.840722], [14.005697, 14.092361, 14.313895, 15.994383, 18.209975], [10.878514, 11.306956, 12.779978, 12.780169, 19.218915], [13.912478, 14.199835, 14.367278, 14.525057, 138.116023]]
### 6
mean: [-0.858875, -1.190978, 0.021244, 0.109615, 0.833196, 0.161272]
std: [0.379706, 0.428720, 1.457796, 1.443310, 1.550668, 0.847646]
pca: [[0.089757, 0.613367, -0.447764, -0.021712, 0.574017, 0.292001, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136160, 0.445434, 0.696682, -0.505619, -0.033264, 0.202300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.530650, -0.379783, -0.019314, -0.368739, 0.600810, -0.277237, 0.000000, 0.000000, 0.000000, 0.000000], [-0.528913, -0.124540, 0.190074, 0.535447, 0.072079, 0.613771, 0.000000, 0.000000, 0.000000, 0.000000], [0.561906, -0.509354, 0.117278, -0.245439, 0.270580, 0.526890, 0.000000, 0.000000, 0.000000, 0.000000], [0.310367, 0.078626, 0.513698, 0.510849, 0.479600, -0.377654, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.437107, 5.895350, 6.735802, 7.794356, 77.298735], [6.813348, 7.131131, 7.526625, 8.267258, 107.188031], [20.314377, 24.447720, 24.589629, 28.846973, 29.158255], [19.160695, 24.589846, 24.760946, 27.093406, 29.131318], [25.500643, 26.650909, 27.915215, 31.432485, 74.987604], [14.514494, 14.534005, 14.770274, 16.346278, 17.144571]]
### 8
mean: [0.422328]
std: [1.136956]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.246530, 19.372925, 22.799556, 23.719633, 38.009562]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4779268503189087, "std": 1.3928202390670776, "pca": [0.18161560595035553, 0.26659902930259705, -0.16328467428684235, -0.38360458612442017, 0.8488086462020874, -0.040622908622026443, 0.0, 0.0, 0.0, 0.0], "fourier": [22.921797048771218, 23.404065572379874, 23.890144112204833, 26.71155598567075, 133.01341097056866]}, "1": {"mean": -1.1955459117889404, "std": 2.5119504928588867, "pca": [-0.08186211436986923, 0.037453994154930115, 0.9638983011245728, 0.08961780369281769, 0.2328127920627594, 0.02372223511338234, 0.0, 0.0, 0.0, 0.0], "fourier": [40.21787657431977, 44.53084546993177, 54.460964224779005, 54.79408376305752, 107.5991422533989]}, "2": {"mean": -4.234101295471191, "std": 2.2810428142547607, "pca": [-0.5475632548332214, -0.30221042037010193, -0.08495359122753143, -0.11899301409721375, 0.17764347791671753, 0.7455934882164001, 0.0, 0.0, 0.0, 0.0], "fourier": [35.666841222604546, 38.23545420281816, 44.391626189246416, 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"relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.047877, 0.397524, 0.516765, 0.002516, -0.144473], [-0.797945, 0.769803, -0.665341, -0.064716, -0.341347], [-0.113225, -0.704879, -0.107925, -0.62074, -0.177037], [0.392401, -1.086913, -0.003143, 0.56313, -0.498283], [0.361591, 0.589204, 0.11736, 0.704945, 0.061915], [0.182569, 0.833108, -0.390681, -1.475036, 0.198541]], "network.0.bias": [-0.212705, 0.344296, -1.033822, 0.497463, -0.672333, 0.178597], "network.2.weight": [[0.532144, -0.269751, 0.223593, -0.340406, -0.252817, -0.197995], [0.095116, -0.113566, -0.169411, -0.623416, 0.87238, -0.72267], [-0.070474, 0.174578, -0.318585, 0.468256, 0.266778, 0.73734], [0.432198, 0.768435, 0.343515, 0.257054, -0.401965, 0.430641], [0.114463, -0.620917, -0.513953, 0.487052, -0.419597, -0.068081], [-0.637727, -0.024749, -0.06173, -0.62021, -0.306458, 0.00688]], "network.2.bias": [0.398457, -0.336632, -0.125333, 0.584652, -0.298931, -0.734699], "network.4.weight": [[0.745152, -0.873964, 0.343346, 0.65492, 0.320133, -0.045032], [-0.396848, -0.336184, -0.435693, -0.079604, -0.19118, 0.627798], [0.084282, 0.890735, -0.077006, -0.657777, 0.123062, 0.310649], [-0.024836, 0.392129, -0.063744, -0.109788, 0.094106, 0.063916], [-0.537373, 0.317922, -0.150795, -0.193349, -0.081441, 0.013297], [0.196214, -0.275817, -0.421504, -0.184723, 0.125893, -0.131152]], "network.4.bias": [0.145542, -0.293237, -0.08817, -0.310198, -0.234299, -0.508593], "network.6.weight": [[-0.468752, 0.355357, -0.067441, 0.028834, 0.144412, 0.011458], [-0.138319, 0.106307, 0.004931, -0.757958, -0.001006, 0.153506], [0.638902, 0.233009, -0.554858, -0.223539, -0.041243, 0.050763], [0.495135, 0.01664, -0.553976, -0.215366, -0.292099, 0.049498], [-0.113558, 0.532352, 0.71551, 0.40571, 0.130653, 0.116006], [-0.259285, 0.179924, 0.455744, -0.003701, -0.150907, 0.028262]], "network.6.bias": [-0.504185, -0.795332, 0.36259, 0.593721, -0.146637, -0.183367], "network.8.weight": [[-0.097337, 0.24443, 0.57099, 0.355711, -0.357767, -0.181895]], "network.8.bias": [0.271718]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876876354217529, "train_acc": 0.57, "val_loss": 0.6894771456718445, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817581951618195, "train_acc": 0.57, "val_loss": 0.6841732263565063, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6854696869850159, "train_acc": 0.57, "val_loss": 0.6739843487739563, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6511991620063782, "train_acc": 0.57, "val_loss": 0.6919212937355042, "val_acc": 0.6}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.623080849647522, "train_acc": 0.6, "val_loss": 0.6264970898628235, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5708367228507996, "train_acc": 0.67, "val_loss": 0.6786027550697327, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5491126477718353, "train_acc": 0.765, "val_loss": 0.5380730628967285, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4926496744155884, "train_acc": 0.775, "val_loss": 0.46244293451309204, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.47307418286800385, "train_acc": 0.755, "val_loss": 0.5022314190864563, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5316597521305084, "train_acc": 0.73, "val_loss": 0.4599345028400421, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5023200511932373, "train_acc": 0.765, "val_loss": 0.43963387608528137, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4615410417318344, "train_acc": 0.785, "val_loss": 0.4478597939014435, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4539570212364197, "train_acc": 0.805, "val_loss": 0.4703623056411743, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.4151435047388077, "train_acc": 0.795, "val_loss": 0.418456494808197, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4407774806022644, "train_acc": 0.805, "val_loss": 0.44693878293037415, "val_acc": 0.8}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6894771456718445, "final_val_loss": 0.6264970898628235, "initial_val_acc": 0.54, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.6786027550697327, "final_val_loss": 0.44693878293037415, "initial_val_acc": 0.66, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 10}, "improvement": 0.2799999999999999, "first_improvement_epoch": 4}}
|
27
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.98, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8389, "learning_rate": 0.07569666252355549, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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"network.4.bias": [
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"network.6.weight": [
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0.298669,
0.227524
],
[
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0.114212,
-0.316632,
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-0.264864
],
[
0.738407,
0.585168,
1.001583,
0.301965,
-0.028276
],
[
0.539364,
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0.667846,
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]
],
"network.6.bias": [
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0.176494,
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0.065208,
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],
"network.8.weight": [
[
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0.710733
],
[
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],
[
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],
[
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[
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]
],
"network.8.bias": [
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"network.10.weight": [
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[
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[
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],
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"network.12.weight": [
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],
"network.12.bias": [
0.41281
]
}
## Activation Signature
### 0
mean: [1.839649, 0.883968, -2.934883, -0.274116, -0.068144]
std: [3.138527, 2.663278, 1.971968, 2.720973, 2.481090]
pca: [[0.607517, 0.493588, 0.041600, -0.367825, -0.500267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162737, 0.677628, -0.090767, -0.266718, 0.659515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329535, -0.037714, 0.856335, -0.387369, -0.081367, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425372, 0.541499, 0.088814, 0.591573, -0.409868, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.561164, 0.050470, 0.498832, 0.541805, 0.374380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.527534, 51.741807, 66.406676, 70.064987, 165.568387], [41.481413, 41.496654, 42.158952, 42.548821, 79.557151], [29.888911, 31.123839, 34.003152, 41.602553, 264.139438], [43.271156, 44.936653, 45.942334, 47.341146, 48.950540], [34.880789, 40.193724, 42.101026, 42.906634, 55.709656]]
### 2
mean: [-2.431746, 4.692542, 4.528963, -0.960921, 3.495325]
std: [3.354783, 5.934841, 5.367634, 0.805104, 4.341984]
pca: [[-0.305694, 0.940060, -0.012365, 0.097601, 0.114715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618337, 0.224725, -0.227321, -0.639710, 0.325967, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.560308, 0.069952, -0.192986, 0.762359, 0.250452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080732, -0.105418, 0.684594, 0.006858, 0.716697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451383, 0.223115, 0.665026, -0.002680, -0.551549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.633828, 58.160934, 66.011838, 66.519408, 218.857202], [97.399878, 100.692657, 115.304849, 136.987860, 422.328710], [89.169923, 91.010721, 104.764403, 124.382720, 407.606706], [11.693361, 12.336239, 15.589490, 18.756369, 86.482891], [70.889817, 74.821452, 83.002073, 99.409917, 314.579307]]
### 4
mean: [8.813793, -3.210255, 12.267640, -3.919335, -9.181337]
std: [11.070178, 3.101939, 15.092803, 4.616529, 11.018183]
pca: [[0.493746, 0.661821, 0.466784, 0.163930, 0.271012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138339, -0.271714, 0.836620, -0.172186, -0.421250, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673173, -0.655440, 0.029890, 0.314257, 0.132610, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205909, 0.123462, -0.023261, 0.876551, -0.416503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491443, -0.208135, 0.284155, 0.276368, 0.747021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[179.307860, 190.756753, 214.226981, 254.417096, 793.241385], [50.384675, 53.716453, 59.806246, 71.135718, 288.922969], [245.862598, 258.837153, 293.163716, 347.889417, 1104.087663], [75.056196, 79.170607, 89.616358, 106.494315, 352.740164], [178.974469, 189.598212, 213.452650, 253.518699, 826.320339]]
### 6
mean: [-3.338951, 16.931967, -6.575513, 18.888872, 12.584666]
std: [3.686464, 20.757729, 7.695937, 23.267345, 16.033789]
pca: [[-0.102160, 0.128248, -0.032989, 0.778896, 0.604441, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.575240, 0.800965, -0.151840, -0.066876, 0.005169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213271, 0.086926, -0.049581, -0.623136, 0.745790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.644786, -0.556101, -0.480115, -0.007776, 0.210788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.444330, -0.158756, 0.861909, -0.022147, 0.184363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.803528, 63.422703, 71.511201, 84.850413, 300.505605], [336.366707, 357.391017, 402.463825, 477.549387, 1523.877069], [124.803923, 132.433757, 149.265085, 177.109472, 591.796223], [377.405738, 400.331040, 451.321653, 535.509776, 1699.998290], [260.032922, 275.902765, 310.988500, 369.000763, 1132.619911]]
### 8
mean: [29.403181, -2.625383, 23.187822, -15.205758, 25.948315]
std: [36.651428, 2.627771, 29.215019, 18.418755, 32.292938]
pca: [[0.612063, -0.180113, -0.070545, 0.288418, 0.710476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043878, 0.509351, 0.691916, 0.508966, 0.029013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.487878, -0.192292, -0.156175, 0.485671, -0.681712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307585, 0.456546, -0.691554, 0.449337, 0.129643, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539277, 0.680228, -0.116784, -0.469029, -0.113326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[593.561742, 631.114501, 710.839868, 843.380368, 2646.286379], [42.944845, 45.038623, 50.995572, 60.528650, 236.284455], [473.184113, 503.036558, 566.617512, 672.270498, 2086.903794], [298.504238, 317.066040, 357.196105, 423.821822, 1368.518093], [522.394137, 556.335624, 626.329910, 743.059261, 2335.348272]]
### 10
mean: [33.662846, -29.912590, -32.222492, -47.903126, -29.190926]
std: [42.882706, 37.363029, 40.079556, 59.969414, 36.165169]
pca: [[-0.434389, -0.202691, 0.260856, 0.825551, 0.143675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.378477, 0.195306, 0.802162, -0.077928, 0.411188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405994, 0.682878, -0.361169, 0.478490, 0.097217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.607473, -0.392473, 0.150133, 0.282369, -0.612103, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.366343, -0.548101, -0.368114, 0.060895, 0.652811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[693.837802, 738.716430, 831.757285, 986.634495, 3029.655871], [604.411970, 643.687397, 724.714387, 859.602528, 2692.133081], [648.509476, 690.412464, 777.353110, 922.222496, 2900.024491], [970.325380, 1033.046322, 1163.159656, 1379.792496, 4311.281680], [585.143910, 622.996729, 701.439577, 832.137441, 2627.183182]]
### 12
mean: [-11.614110]
std: [15.262771]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.412322, 263.181407, 296.025331, 351.160075, 1045.269909]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.648903,
-0.074992,
-0.168085,
-0.145737,
1.487985
],
[
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0.088451,
0.048029,
1.178796
],
[
-0.472872,
-0.177301,
-0.410154,
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-0.266371
],
[
-1.282145,
-0.179798,
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0.66299
],
[
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0.599056
]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
[
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0.313131,
0.666403,
0.89734
],
[
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1.129975,
0.168698,
0.245302,
0.952799
],
[
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0.053992,
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0.098996
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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1.150254,
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0.244411,
0.57764
],
[
0.235509,
-0.340166,
-0.303294,
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],
[
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]
],
"network.4.bias": [
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-0.128096,
-0.127913
],
"network.6.weight": [
[
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0.075213,
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-0.17011
],
[
0.901908,
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0.715437,
0.298669,
0.227524
],
[
-0.26424,
0.114212,
-0.316632,
-0.184158,
-0.264864
],
[
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0.585168,
1.001583,
0.301965,
-0.028276
],
[
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0.667846,
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]
],
"network.6.bias": [
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0.176494,
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0.065208,
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],
"network.8.weight": [
[
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0.692936,
0.710733
],
[
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0.122574,
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0.253556
],
[
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0.438834,
0.595837,
0.523287
],
[
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-0.348393,
-0.105384
],
[
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0.046097,
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1.211002
]
],
"network.8.bias": [
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0.145234
],
"network.10.weight": [
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],
[
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0.432335,
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[
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],
[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
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]
],
"network.12.bias": [
0.41281
]
}
## Activation Signature
### 0
mean: [1.839649, 0.883968, -2.934883, -0.274116, -0.068144]
std: [3.138527, 2.663278, 1.971968, 2.720973, 2.481090]
pca: [[0.607517, 0.493588, 0.041600, -0.367825, -0.500267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162737, 0.677628, -0.090767, -0.266718, 0.659515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.329535, -0.037714, 0.856335, -0.387369, -0.081367, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425372, 0.541499, 0.088814, 0.591573, -0.409868, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.561164, 0.050470, 0.498832, 0.541805, 0.374380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.527534, 51.741807, 66.406676, 70.064987, 165.568387], [41.481413, 41.496654, 42.158952, 42.548821, 79.557151], [29.888911, 31.123839, 34.003152, 41.602553, 264.139438], [43.271156, 44.936653, 45.942334, 47.341146, 48.950540], [34.880789, 40.193724, 42.101026, 42.906634, 55.709656]]
### 2
mean: [-2.431746, 4.692542, 4.528963, -0.960921, 3.495325]
std: [3.354783, 5.934841, 5.367634, 0.805104, 4.341984]
pca: [[-0.305694, 0.940060, -0.012365, 0.097601, 0.114715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.618337, 0.224725, -0.227321, -0.639710, 0.325967, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.560308, 0.069952, -0.192986, 0.762359, 0.250452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080732, -0.105418, 0.684594, 0.006858, 0.716697, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.451383, 0.223115, 0.665026, -0.002680, -0.551549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.633828, 58.160934, 66.011838, 66.519408, 218.857202], [97.399878, 100.692657, 115.304849, 136.987860, 422.328710], [89.169923, 91.010721, 104.764403, 124.382720, 407.606706], [11.693361, 12.336239, 15.589490, 18.756369, 86.482891], [70.889817, 74.821452, 83.002073, 99.409917, 314.579307]]
### 4
mean: [8.813793, -3.210255, 12.267640, -3.919335, -9.181337]
std: [11.070178, 3.101939, 15.092803, 4.616529, 11.018183]
pca: [[0.493746, 0.661821, 0.466784, 0.163930, 0.271012, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138339, -0.271714, 0.836620, -0.172186, -0.421250, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673173, -0.655440, 0.029890, 0.314257, 0.132610, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205909, 0.123462, -0.023261, 0.876551, -0.416503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491443, -0.208135, 0.284155, 0.276368, 0.747021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[179.307860, 190.756753, 214.226981, 254.417096, 793.241385], [50.384675, 53.716453, 59.806246, 71.135718, 288.922969], [245.862598, 258.837153, 293.163716, 347.889417, 1104.087663], [75.056196, 79.170607, 89.616358, 106.494315, 352.740164], [178.974469, 189.598212, 213.452650, 253.518699, 826.320339]]
### 6
mean: [-3.338951, 16.931967, -6.575513, 18.888872, 12.584666]
std: [3.686464, 20.757729, 7.695937, 23.267345, 16.033789]
pca: [[-0.102160, 0.128248, -0.032989, 0.778896, 0.604441, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.575240, 0.800965, -0.151840, -0.066876, 0.005169, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213271, 0.086926, -0.049581, -0.623136, 0.745790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.644786, -0.556101, -0.480115, -0.007776, 0.210788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.444330, -0.158756, 0.861909, -0.022147, 0.184363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.803528, 63.422703, 71.511201, 84.850413, 300.505605], [336.366707, 357.391017, 402.463825, 477.549387, 1523.877069], [124.803923, 132.433757, 149.265085, 177.109472, 591.796223], [377.405738, 400.331040, 451.321653, 535.509776, 1699.998290], [260.032922, 275.902765, 310.988500, 369.000763, 1132.619911]]
### 8
mean: [29.403181, -2.625383, 23.187822, -15.205758, 25.948315]
std: [36.651428, 2.627771, 29.215019, 18.418755, 32.292938]
pca: [[0.612063, -0.180113, -0.070545, 0.288418, 0.710476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043878, 0.509351, 0.691916, 0.508966, 0.029013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.487878, -0.192292, -0.156175, 0.485671, -0.681712, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.307585, 0.456546, -0.691554, 0.449337, 0.129643, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539277, 0.680228, -0.116784, -0.469029, -0.113326, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[593.561742, 631.114501, 710.839868, 843.380368, 2646.286379], [42.944845, 45.038623, 50.995572, 60.528650, 236.284455], [473.184113, 503.036558, 566.617512, 672.270498, 2086.903794], [298.504238, 317.066040, 357.196105, 423.821822, 1368.518093], [522.394137, 556.335624, 626.329910, 743.059261, 2335.348272]]
### 10
mean: [33.662846, -29.912590, -32.222492, -47.903126, -29.190926]
std: [42.882706, 37.363029, 40.079556, 59.969414, 36.165169]
pca: [[-0.434389, -0.202691, 0.260856, 0.825551, 0.143675, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.378477, 0.195306, 0.802162, -0.077928, 0.411188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405994, 0.682878, -0.361169, 0.478490, 0.097217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.607473, -0.392473, 0.150133, 0.282369, -0.612103, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.366343, -0.548101, -0.368114, 0.060895, 0.652811, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[693.837802, 738.716430, 831.757285, 986.634495, 3029.655871], [604.411970, 643.687397, 724.714387, 859.602528, 2692.133081], [648.509476, 690.412464, 777.353110, 922.222496, 2900.024491], [970.325380, 1033.046322, 1163.159656, 1379.792496, 4311.281680], [585.143910, 622.996729, 701.439577, 832.137441, 2627.183182]]
### 12
mean: [-11.614110]
std: [15.262771]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.412322, 263.181407, 296.025331, 351.160075, 1045.269909]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7628282308578491, "train_acc": 0.405, "val_loss": 0.6803843975067139, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7092279493808746, "train_acc": 0.395, "val_loss": 0.7121966481208801, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6691557765007019, "train_acc": 0.595, "val_loss": 0.7346279621124268, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.613146036863327, "train_acc": 0.595, "val_loss": 0.6632866859436035, "val_acc": 0.4}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5546096563339233, "train_acc": 0.595, "val_loss": 0.6038596630096436, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5130130052566528, "train_acc": 0.525, "val_loss": 0.47020962834358215, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.43374018371105194, "train_acc": 0.855, "val_loss": 0.4226406216621399, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.36870796978473663, "train_acc": 0.87, "val_loss": 0.3439982533454895, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3562055081129074, "train_acc": 0.91, "val_loss": 0.3225950598716736, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3271709084510803, "train_acc": 0.895, "val_loss": 0.33887016773223877, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.33958056569099426, "train_acc": 0.875, "val_loss": 0.3165322244167328, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.346723347902298, "train_acc": 0.865, "val_loss": 0.30167829990386963, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3303433358669281, "train_acc": 0.875, "val_loss": 0.2912041246891022, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3230937719345093, "train_acc": 0.875, "val_loss": 0.29828983545303345, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.30332815647125244, "train_acc": 0.875, "val_loss": 0.27416306734085083, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6803843975067139, "final_val_loss": 0.6038596630096436, "initial_val_acc": 0.6, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.47020962834358215, "final_val_loss": 0.27416306734085083, "initial_val_acc": 0.9, "final_val_acc": 0.92, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.58, "first_improvement_epoch": 4}}
|
28
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1137, "learning_rate": 0.048769761062395736, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.28
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"network.6.weight": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.039323, 1.339984, 1.687883, -0.395516, 1.074733, -1.700092, -2.179836, 1.494612]
std: [2.501504, 1.776037, 2.317472, 1.439682, 2.450410, 1.495079, 3.478259, 1.816868]
pca: [[0.215845, 0.591374, -0.155479, -0.490444, 0.132570, 0.361494, 0.432513, -0.060486, 0.000000, 0.000000], [-0.344414, -0.153493, -0.161921, 0.365443, 0.186650, 0.800128, 0.032691, 0.148123, 0.000000, 0.000000], [-0.470520, 0.053863, -0.352415, -0.167596, 0.514189, -0.392640, 0.077365, 0.445963, 0.000000, 0.000000], [-0.162989, 0.013608, 0.637948, 0.279364, 0.210829, -0.134599, 0.651257, -0.039061, 0.000000, 0.000000], [0.225083, 0.565562, 0.263553, 0.357132, 0.416927, -0.002624, -0.495488, 0.114586, 0.000000, 0.000000], [0.306321, -0.061540, 0.190647, -0.052092, -0.300220, 0.087872, 0.081143, 0.871139, 0.000000, 0.000000], [0.627696, -0.497031, -0.131053, -0.005168, 0.571182, 0.020782, 0.114855, -0.043407, 0.000000, 0.000000], [0.219862, 0.230091, -0.543556, 0.624099, -0.220315, -0.220621, 0.341260, 0.009760, 0.000000, 0.000000]]
fourier: [[42.272940, 43.189017, 43.254817, 44.051097, 93.539082], [29.143511, 34.040671, 34.644535, 35.582041, 120.598560], [36.110867, 40.058223, 41.100340, 45.308730, 151.909444], [22.222522, 22.590137, 24.056930, 29.224600, 35.596429], [36.197831, 36.645506, 38.224099, 39.323496, 96.725993], [24.517326, 25.990056, 28.051416, 31.518233, 153.008320], [62.701537, 64.674541, 65.068438, 80.649718, 196.185248], [29.318140, 30.898230, 31.475335, 32.294336, 134.515049]]
### 2
mean: [1.360326, 1.342385, 0.781013, -2.788221, 0.792192, -1.747206, 1.861264, -2.746233]
std: [2.910523, 1.941609, 1.414717, 1.753705, 2.181866, 2.012826, 2.522021, 2.177543]
pca: [[0.515300, -0.100995, 0.523155, 0.020132, 0.107370, -0.142680, -0.411961, -0.498569, 0.000000, 0.000000], [-0.156608, 0.753646, 0.300339, -0.468141, 0.249125, -0.173454, 0.010066, 0.076689, 0.000000, 0.000000], [0.250958, -0.071141, -0.090424, 0.019524, 0.444601, -0.196571, 0.770706, -0.305127, 0.000000, 0.000000], [-0.250695, -0.427838, 0.340751, -0.507497, -0.452990, -0.329894, 0.253239, -0.047772, 0.000000, 0.000000], [0.385647, -0.097298, 0.200096, -0.389080, 0.000194, 0.745295, 0.185997, 0.245617, 0.000000, 0.000000], [-0.339761, 0.003095, 0.679328, 0.554910, 0.066732, 0.174326, 0.241330, 0.148518, 0.000000, 0.000000], [0.451738, -0.086832, 0.099944, 0.097007, 0.056773, -0.464750, -0.003579, 0.741462, 0.000000, 0.000000], [-0.340417, -0.465505, 0.017433, -0.231915, 0.718236, 0.015449, -0.281461, 0.134207, 0.000000, 0.000000]]
fourier: [[45.994889, 48.517051, 50.293301, 63.243074, 122.429375], [33.588288, 33.831543, 33.933523, 34.748570, 120.814651], [24.257464, 24.822263, 26.362858, 29.943439, 70.291187], [23.852451, 30.120054, 31.101767, 31.252865, 250.939915], [35.653205, 35.855932, 38.370942, 50.231304, 71.297296], [31.993476, 35.777499, 37.223199, 39.073881, 157.248504], [41.638511, 41.729576, 45.534793, 53.632214, 167.513750], [32.083386, 38.679108, 40.742077, 40.971945, 247.160912]]
### 4
mean: [-0.484546, -2.518740, -2.239210, 2.217264, -2.306045, 0.606551, 1.511662, -2.256398]
std: [1.447834, 1.336827, 3.731002, 2.996700, 3.979041, 4.681789, 5.585674, 3.740687]
pca: [[-0.132092, -0.217145, 0.511851, 0.474361, -0.190827, -0.426605, 0.286502, -0.384577, 0.000000, 0.000000], [-0.085325, 0.524446, -0.139787, 0.704227, -0.155001, 0.046824, -0.392358, 0.148448, 0.000000, 0.000000], [-0.361271, 0.158232, 0.191424, -0.180063, 0.620551, -0.310333, -0.479368, -0.253371, 0.000000, 0.000000], [0.278705, -0.443671, 0.488061, 0.178320, 0.175242, 0.126897, -0.362271, 0.526712, 0.000000, 0.000000], [-0.383254, 0.239983, 0.544951, -0.272581, -0.377066, 0.517175, -0.096249, -0.073081, 0.000000, 0.000000], [0.444636, 0.521105, 0.302335, -0.316114, -0.190236, -0.497796, 0.028892, 0.233640, 0.000000, 0.000000], [0.540616, 0.264695, 0.199708, 0.161744, 0.418106, 0.432042, 0.182711, -0.420440, 0.000000, 0.000000], [-0.360870, 0.238155, 0.123938, 0.120145, 0.413021, 0.038401, 0.599547, 0.501740, 0.000000, 0.000000]]
fourier: [[23.656234, 24.510837, 26.228382, 34.834966, 43.609101], [20.791638, 24.618994, 25.956836, 26.019297, 226.686575], [56.861835, 61.093264, 65.647531, 90.469075, 201.528916], [49.258603, 51.941182, 52.988463, 65.861043, 199.553751], [61.192312, 65.552721, 69.068528, 95.739033, 207.544070], [74.829813, 77.110382, 78.813852, 82.934048, 114.622829], [88.989451, 89.437748, 99.491561, 136.049612, 138.042142], [58.821393, 62.891040, 66.450942, 88.705849, 203.075852]]
### 6
mean: [-3.765119, 2.955165, 3.964948, 2.782761, -0.936300, -1.144722, -4.065085, 3.108968]
std: [3.642726, 3.736324, 5.160273, 3.614063, 2.958529, 2.156679, 4.076023, 4.115246]
pca: [[-0.348851, -0.043920, 0.669380, 0.012530, 0.026961, 0.608231, -0.028132, 0.238085, 0.000000, 0.000000], [0.350956, 0.335866, 0.012971, 0.190188, -0.282887, -0.030703, -0.563664, 0.573585, 0.000000, 0.000000], [0.494864, -0.011600, 0.538914, 0.237694, 0.554347, -0.286585, -0.007434, -0.136244, 0.000000, 0.000000], [0.342023, 0.261098, -0.191726, 0.195184, -0.009250, 0.633013, -0.167485, -0.557808, 0.000000, 0.000000], [-0.205422, 0.900065, 0.072203, -0.104552, 0.118792, -0.120237, 0.320890, -0.000823, 0.000000, 0.000000], [-0.206335, -0.033180, -0.438407, 0.503098, 0.581064, 0.187033, 0.079450, 0.363439, 0.000000, 0.000000], [-0.390934, 0.027952, 0.160404, 0.719325, -0.338501, -0.281986, -0.111535, -0.310954, 0.000000, 0.000000], [0.394538, -0.070417, 0.037838, 0.295988, -0.381487, 0.131614, 0.729152, 0.236270, 0.000000, 0.000000]]
fourier: [[60.168388, 61.275608, 61.899799, 70.739199, 338.860732], [60.234537, 60.550813, 63.695765, 64.666852, 265.964878], [81.430141, 82.848069, 89.643679, 106.388859, 356.845328], [59.052746, 59.290184, 62.444249, 63.439629, 250.448519], [46.513297, 47.438568, 49.167095, 72.151962, 84.266984], [34.660950, 35.698075, 37.105281, 43.512550, 103.024961], [66.397523, 66.477206, 70.856995, 82.732857, 365.857629], [65.531992, 66.019014, 71.255541, 86.086210, 279.807139]]
### 8
mean: [-5.766110, 4.492849, 4.594584, 5.100485, -0.818589, 6.468308, 2.070920, 1.483088]
std: [6.675147, 5.840242, 6.425129, 6.628656, 1.925043, 8.536119, 3.016010, 1.087813]
pca: [[-0.416559, 0.770660, -0.043153, -0.022463, 0.091339, 0.286766, 0.109005, -0.357400, 0.000000, 0.000000], [0.370027, 0.221345, -0.015056, 0.796738, 0.271458, -0.195000, 0.259323, -0.010244, 0.000000, 0.000000], [0.407492, -0.159418, -0.430095, -0.184091, 0.512947, 0.341155, -0.201438, -0.411809, 0.000000, 0.000000], [0.419675, 0.298638, -0.037564, -0.544453, -0.002971, -0.462771, 0.470594, -0.034980, 0.000000, 0.000000], [-0.121798, -0.063055, 0.692534, -0.100350, 0.538256, -0.302446, -0.224410, -0.244873, 0.000000, 0.000000], [0.541448, 0.196702, 0.434839, 0.030846, -0.499385, 0.269390, -0.295070, -0.262836, 0.000000, 0.000000], [0.186964, 0.409295, 0.012850, -0.129183, 0.286588, 0.126746, -0.394505, 0.725835, 0.000000, 0.000000], [0.066517, -0.179724, 0.377710, -0.081701, 0.183320, 0.607525, 0.604793, 0.213232, 0.000000, 0.000000]]
fourier: [[104.953273, 107.431246, 116.529956, 139.665624, 518.949964], [93.363118, 93.838037, 99.805807, 100.206957, 404.356426], [103.252209, 107.056200, 108.095315, 119.891021, 413.512507], [105.675274, 107.179042, 111.122792, 115.172081, 459.043667], [30.636890, 32.131210, 32.155819, 33.609898, 73.672967], [136.241139, 138.746560, 146.144347, 149.281723, 582.147720], [46.611438, 49.013311, 49.481215, 53.523604, 186.382749], [16.098320, 17.962185, 19.460455, 24.172323, 133.477944]]
### 10
mean: [-11.170730]
std: [16.008471]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[253.787815, 259.997097, 276.806661, 277.680962, 1005.365700]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.030207,
1.176814
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[
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[
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[
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[
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[
-1.131259,
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-1.211517
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[
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0.358192,
0.167413
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],
"network.0.bias": [
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0.53432,
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[
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[
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[
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[
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[
0.021586,
0.410587,
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-0.480984,
0.676353,
0.642137,
-0.670396
],
[
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-0.320465,
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0.109828,
0.427019,
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0.413135,
0.28
],
[
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0.642879,
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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0.136128,
0.58873,
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0.423907
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[
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0.001484
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[
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[
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[
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0.664113,
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0.033003
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[
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],
"network.4.bias": [
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"network.6.weight": [
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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],
[
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],
[
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]
],
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],
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[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.039323, 1.339984, 1.687883, -0.395516, 1.074733, -1.700092, -2.179836, 1.494612]
std: [2.501504, 1.776037, 2.317472, 1.439682, 2.450410, 1.495079, 3.478259, 1.816868]
pca: [[0.215845, 0.591374, -0.155479, -0.490444, 0.132570, 0.361494, 0.432513, -0.060486, 0.000000, 0.000000], [-0.344414, -0.153493, -0.161921, 0.365443, 0.186650, 0.800128, 0.032691, 0.148123, 0.000000, 0.000000], [-0.470520, 0.053863, -0.352415, -0.167596, 0.514189, -0.392640, 0.077365, 0.445963, 0.000000, 0.000000], [-0.162989, 0.013608, 0.637948, 0.279364, 0.210829, -0.134599, 0.651257, -0.039061, 0.000000, 0.000000], [0.225083, 0.565562, 0.263553, 0.357132, 0.416927, -0.002624, -0.495488, 0.114586, 0.000000, 0.000000], [0.306321, -0.061540, 0.190647, -0.052092, -0.300220, 0.087872, 0.081143, 0.871139, 0.000000, 0.000000], [0.627696, -0.497031, -0.131053, -0.005168, 0.571182, 0.020782, 0.114855, -0.043407, 0.000000, 0.000000], [0.219862, 0.230091, -0.543556, 0.624099, -0.220315, -0.220621, 0.341260, 0.009760, 0.000000, 0.000000]]
fourier: [[42.272940, 43.189017, 43.254817, 44.051097, 93.539082], [29.143511, 34.040671, 34.644535, 35.582041, 120.598560], [36.110867, 40.058223, 41.100340, 45.308730, 151.909444], [22.222522, 22.590137, 24.056930, 29.224600, 35.596429], [36.197831, 36.645506, 38.224099, 39.323496, 96.725993], [24.517326, 25.990056, 28.051416, 31.518233, 153.008320], [62.701537, 64.674541, 65.068438, 80.649718, 196.185248], [29.318140, 30.898230, 31.475335, 32.294336, 134.515049]]
### 2
mean: [1.360326, 1.342385, 0.781013, -2.788221, 0.792192, -1.747206, 1.861264, -2.746233]
std: [2.910523, 1.941609, 1.414717, 1.753705, 2.181866, 2.012826, 2.522021, 2.177543]
pca: [[0.515300, -0.100995, 0.523155, 0.020132, 0.107370, -0.142680, -0.411961, -0.498569, 0.000000, 0.000000], [-0.156608, 0.753646, 0.300339, -0.468141, 0.249125, -0.173454, 0.010066, 0.076689, 0.000000, 0.000000], [0.250958, -0.071141, -0.090424, 0.019524, 0.444601, -0.196571, 0.770706, -0.305127, 0.000000, 0.000000], [-0.250695, -0.427838, 0.340751, -0.507497, -0.452990, -0.329894, 0.253239, -0.047772, 0.000000, 0.000000], [0.385647, -0.097298, 0.200096, -0.389080, 0.000194, 0.745295, 0.185997, 0.245617, 0.000000, 0.000000], [-0.339761, 0.003095, 0.679328, 0.554910, 0.066732, 0.174326, 0.241330, 0.148518, 0.000000, 0.000000], [0.451738, -0.086832, 0.099944, 0.097007, 0.056773, -0.464750, -0.003579, 0.741462, 0.000000, 0.000000], [-0.340417, -0.465505, 0.017433, -0.231915, 0.718236, 0.015449, -0.281461, 0.134207, 0.000000, 0.000000]]
fourier: [[45.994889, 48.517051, 50.293301, 63.243074, 122.429375], [33.588288, 33.831543, 33.933523, 34.748570, 120.814651], [24.257464, 24.822263, 26.362858, 29.943439, 70.291187], [23.852451, 30.120054, 31.101767, 31.252865, 250.939915], [35.653205, 35.855932, 38.370942, 50.231304, 71.297296], [31.993476, 35.777499, 37.223199, 39.073881, 157.248504], [41.638511, 41.729576, 45.534793, 53.632214, 167.513750], [32.083386, 38.679108, 40.742077, 40.971945, 247.160912]]
### 4
mean: [-0.484546, -2.518740, -2.239210, 2.217264, -2.306045, 0.606551, 1.511662, -2.256398]
std: [1.447834, 1.336827, 3.731002, 2.996700, 3.979041, 4.681789, 5.585674, 3.740687]
pca: [[-0.132092, -0.217145, 0.511851, 0.474361, -0.190827, -0.426605, 0.286502, -0.384577, 0.000000, 0.000000], [-0.085325, 0.524446, -0.139787, 0.704227, -0.155001, 0.046824, -0.392358, 0.148448, 0.000000, 0.000000], [-0.361271, 0.158232, 0.191424, -0.180063, 0.620551, -0.310333, -0.479368, -0.253371, 0.000000, 0.000000], [0.278705, -0.443671, 0.488061, 0.178320, 0.175242, 0.126897, -0.362271, 0.526712, 0.000000, 0.000000], [-0.383254, 0.239983, 0.544951, -0.272581, -0.377066, 0.517175, -0.096249, -0.073081, 0.000000, 0.000000], [0.444636, 0.521105, 0.302335, -0.316114, -0.190236, -0.497796, 0.028892, 0.233640, 0.000000, 0.000000], [0.540616, 0.264695, 0.199708, 0.161744, 0.418106, 0.432042, 0.182711, -0.420440, 0.000000, 0.000000], [-0.360870, 0.238155, 0.123938, 0.120145, 0.413021, 0.038401, 0.599547, 0.501740, 0.000000, 0.000000]]
fourier: [[23.656234, 24.510837, 26.228382, 34.834966, 43.609101], [20.791638, 24.618994, 25.956836, 26.019297, 226.686575], [56.861835, 61.093264, 65.647531, 90.469075, 201.528916], [49.258603, 51.941182, 52.988463, 65.861043, 199.553751], [61.192312, 65.552721, 69.068528, 95.739033, 207.544070], [74.829813, 77.110382, 78.813852, 82.934048, 114.622829], [88.989451, 89.437748, 99.491561, 136.049612, 138.042142], [58.821393, 62.891040, 66.450942, 88.705849, 203.075852]]
### 6
mean: [-3.765119, 2.955165, 3.964948, 2.782761, -0.936300, -1.144722, -4.065085, 3.108968]
std: [3.642726, 3.736324, 5.160273, 3.614063, 2.958529, 2.156679, 4.076023, 4.115246]
pca: [[-0.348851, -0.043920, 0.669380, 0.012530, 0.026961, 0.608231, -0.028132, 0.238085, 0.000000, 0.000000], [0.350956, 0.335866, 0.012971, 0.190188, -0.282887, -0.030703, -0.563664, 0.573585, 0.000000, 0.000000], [0.494864, -0.011600, 0.538914, 0.237694, 0.554347, -0.286585, -0.007434, -0.136244, 0.000000, 0.000000], [0.342023, 0.261098, -0.191726, 0.195184, -0.009250, 0.633013, -0.167485, -0.557808, 0.000000, 0.000000], [-0.205422, 0.900065, 0.072203, -0.104552, 0.118792, -0.120237, 0.320890, -0.000823, 0.000000, 0.000000], [-0.206335, -0.033180, -0.438407, 0.503098, 0.581064, 0.187033, 0.079450, 0.363439, 0.000000, 0.000000], [-0.390934, 0.027952, 0.160404, 0.719325, -0.338501, -0.281986, -0.111535, -0.310954, 0.000000, 0.000000], [0.394538, -0.070417, 0.037838, 0.295988, -0.381487, 0.131614, 0.729152, 0.236270, 0.000000, 0.000000]]
fourier: [[60.168388, 61.275608, 61.899799, 70.739199, 338.860732], [60.234537, 60.550813, 63.695765, 64.666852, 265.964878], [81.430141, 82.848069, 89.643679, 106.388859, 356.845328], [59.052746, 59.290184, 62.444249, 63.439629, 250.448519], [46.513297, 47.438568, 49.167095, 72.151962, 84.266984], [34.660950, 35.698075, 37.105281, 43.512550, 103.024961], [66.397523, 66.477206, 70.856995, 82.732857, 365.857629], [65.531992, 66.019014, 71.255541, 86.086210, 279.807139]]
### 8
mean: [-5.766110, 4.492849, 4.594584, 5.100485, -0.818589, 6.468308, 2.070920, 1.483088]
std: [6.675147, 5.840242, 6.425129, 6.628656, 1.925043, 8.536119, 3.016010, 1.087813]
pca: [[-0.416559, 0.770660, -0.043153, -0.022463, 0.091339, 0.286766, 0.109005, -0.357400, 0.000000, 0.000000], [0.370027, 0.221345, -0.015056, 0.796738, 0.271458, -0.195000, 0.259323, -0.010244, 0.000000, 0.000000], [0.407492, -0.159418, -0.430095, -0.184091, 0.512947, 0.341155, -0.201438, -0.411809, 0.000000, 0.000000], [0.419675, 0.298638, -0.037564, -0.544453, -0.002971, -0.462771, 0.470594, -0.034980, 0.000000, 0.000000], [-0.121798, -0.063055, 0.692534, -0.100350, 0.538256, -0.302446, -0.224410, -0.244873, 0.000000, 0.000000], [0.541448, 0.196702, 0.434839, 0.030846, -0.499385, 0.269390, -0.295070, -0.262836, 0.000000, 0.000000], [0.186964, 0.409295, 0.012850, -0.129183, 0.286588, 0.126746, -0.394505, 0.725835, 0.000000, 0.000000], [0.066517, -0.179724, 0.377710, -0.081701, 0.183320, 0.607525, 0.604793, 0.213232, 0.000000, 0.000000]]
fourier: [[104.953273, 107.431246, 116.529956, 139.665624, 518.949964], [93.363118, 93.838037, 99.805807, 100.206957, 404.356426], [103.252209, 107.056200, 108.095315, 119.891021, 413.512507], [105.675274, 107.179042, 111.122792, 115.172081, 459.043667], [30.636890, 32.131210, 32.155819, 33.609898, 73.672967], [136.241139, 138.746560, 146.144347, 149.281723, 582.147720], [46.611438, 49.013311, 49.481215, 53.523604, 186.382749], [16.098320, 17.962185, 19.460455, 24.172323, 133.477944]]
### 10
mean: [-11.170730]
std: [16.008471]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[253.787815, 259.997097, 276.806661, 277.680962, 1005.365700]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7164629995822906, "train_acc": 0.45, "val_loss": 0.6689344048500061, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6864761114120483, "train_acc": 0.535, "val_loss": 0.6139829754829407, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6285500526428223, "train_acc": 0.58, "val_loss": 0.4794131815433502, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5083159804344177, "train_acc": 0.72, "val_loss": 0.41943594813346863, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4543360471725464, "train_acc": 0.725, "val_loss": 0.40275201201438904, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4219829738140106, "train_acc": 0.81, "val_loss": 0.3044142425060272, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.38259783387184143, "train_acc": 0.85, "val_loss": 0.29090508818626404, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3532830476760864, "train_acc": 0.865, "val_loss": 0.4131341874599457, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2972605973482132, "train_acc": 0.885, "val_loss": 0.325765997171402, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.26625242829322815, "train_acc": 0.915, "val_loss": 0.2594190835952759, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.22812757641077042, "train_acc": 0.93, "val_loss": 0.22195017337799072, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.23379410058259964, "train_acc": 0.945, "val_loss": 0.15568393468856812, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6689344048500061, "final_val_loss": 0.6139829754829407, "initial_val_acc": 0.66, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4794131815433502, "final_val_loss": 0.15568393468856812, "initial_val_acc": 0.66, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
29
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.78, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9587, "learning_rate": 0.07451702846533188, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.935117, -1.256064, 0.180792, -2.688485, -1.010699, -0.082137, 0.708234]
std: [1.816800, 1.236031, 2.692258, 2.550160, 2.478552, 1.901762, 2.080565]
pca: [[0.282102, 0.304136, -0.370891, 0.560962, -0.601100, -0.114756, 0.034508, 0.000000, 0.000000, 0.000000], [-0.154591, 0.131189, 0.609084, 0.244239, -0.111710, -0.005891, 0.718151, 0.000000, 0.000000, 0.000000], [-0.405982, 0.582280, -0.393635, -0.480656, -0.108893, 0.124709, 0.287644, 0.000000, 0.000000, 0.000000], [0.173069, 0.725243, 0.377994, 0.141961, 0.297131, 0.138109, -0.416745, 0.000000, 0.000000, 0.000000], [0.556245, 0.123172, 0.141289, -0.497905, -0.103402, -0.617319, 0.125593, 0.000000, 0.000000, 0.000000], [0.425188, -0.093682, 0.166320, -0.319046, -0.386125, 0.728979, 0.022003, 0.000000, 0.000000, 0.000000], [0.459949, 0.036266, -0.382104, 0.157437, 0.605203, 0.199191, 0.458688, 0.000000, 0.000000, 0.000000]]
fourier: [[31.435528, 31.906041, 34.562345, 35.832126, 84.160508], [17.552329, 19.427985, 22.001109, 22.623502, 113.045738], [37.795842, 38.153606, 38.425301, 38.743225, 56.211318], [46.714825, 47.917323, 50.986642, 51.245962, 241.963678], [42.567646, 42.987997, 46.787946, 58.180100, 90.962942], [32.334815, 35.155823, 35.188570, 35.855025, 39.137007], [31.391833, 34.290160, 40.429787, 41.843734, 63.741044]]
### 2
mean: [-0.266448, -0.280710, -0.911998, -1.365763, -0.117001, -1.170903, 0.347155]
std: [1.095802, 0.823853, 0.717113, 1.135509, 1.400724, 0.907117, 1.451917]
pca: [[0.443013, -0.036026, 0.115899, 0.518190, -0.196044, 0.615711, 0.320867, 0.000000, 0.000000, 0.000000], [0.332636, -0.068296, 0.116127, -0.271529, -0.152725, -0.472195, 0.742416, 0.000000, 0.000000, 0.000000], [-0.019873, 0.446665, -0.298737, 0.375000, 0.685192, -0.147287, 0.281148, 0.000000, 0.000000, 0.000000], [0.124296, 0.698723, -0.438435, -0.294969, -0.439041, 0.154352, -0.022861, 0.000000, 0.000000, 0.000000], [0.572177, 0.029226, -0.053940, 0.382656, -0.154937, -0.525538, -0.471412, 0.000000, 0.000000, 0.000000], [0.148751, 0.503193, 0.798539, -0.173963, 0.187247, 0.050256, -0.138404, 0.000000, 0.000000, 0.000000], [0.572482, -0.228596, -0.225919, -0.503419, 0.465757, 0.271475, -0.157831, 0.000000, 0.000000, 0.000000]]
fourier: [[17.808988, 17.973739, 18.097830, 21.185943, 23.980340], [12.470295, 13.674843, 14.409134, 14.509348, 25.263908], [9.450501, 10.649812, 12.646068, 16.778740, 82.079848], [17.340937, 17.890123, 21.723977, 33.360476, 122.918662], [20.753025, 20.993049, 22.005286, 23.634603, 26.508674], [12.612133, 13.055126, 15.745444, 23.067963, 105.381267], [21.757205, 23.517901, 23.821247, 24.711432, 31.243917]]
### 4
mean: [0.369134, -0.094915, -0.292373, -0.048790, -0.898667, -0.323629, -0.805212]
std: [0.932668, 0.809289, 0.231082, 0.177218, 0.265962, 0.287941, 0.315143]
pca: [[0.703604, 0.038727, 0.050240, -0.539826, 0.265377, -0.284417, -0.241223, 0.000000, 0.000000, 0.000000], [0.606888, -0.289821, 0.095452, 0.552099, 0.145291, 0.433847, 0.156313, 0.000000, 0.000000, 0.000000], [0.086808, 0.625022, 0.570711, 0.337839, -0.154723, -0.076592, -0.363539, 0.000000, 0.000000, 0.000000], [0.127949, 0.067231, 0.404543, -0.132016, -0.239806, -0.269248, 0.817328, 0.000000, 0.000000, 0.000000], [-0.140161, -0.584136, 0.608915, -0.280972, -0.253856, 0.215434, -0.280292, 0.000000, 0.000000, 0.000000], [-0.204232, 0.304805, 0.243364, -0.310651, 0.597761, 0.560214, 0.196201, 0.000000, 0.000000, 0.000000], [-0.226643, -0.291909, 0.262671, 0.311066, 0.636599, -0.540622, -0.011590, 0.000000, 0.000000, 0.000000]]
fourier: [[13.475766, 15.496903, 16.987321, 19.672630, 33.222083], [11.725626, 11.836598, 13.564743, 13.671081, 16.866540], [3.581263, 3.666025, 3.897700, 5.364355, 26.313590], [2.609368, 2.613209, 3.110994, 3.416377, 4.391086], [3.980152, 4.217866, 4.480300, 5.901124, 80.880020], [4.284672, 4.554534, 4.846493, 6.055212, 29.126631], [4.708571, 5.446521, 6.409588, 6.419747, 72.469100]]
### 6
mean: [-0.680357, -0.194937, -1.086370, -0.682600, -0.766208, 0.435067, -0.330133]
std: [0.256735, 0.792728, 0.460755, 0.274245, 0.363001, 0.870288, 0.726052]
pca: [[0.164739, -0.431476, -0.356670, 0.720559, 0.318127, -0.007722, 0.197500, 0.000000, 0.000000, 0.000000], [-0.512343, -0.052305, 0.490386, 0.470476, -0.459129, 0.105475, 0.225873, 0.000000, 0.000000, 0.000000], [0.296994, 0.518741, -0.312616, 0.392794, -0.513032, -0.203124, -0.293641, 0.000000, 0.000000, 0.000000], [-0.175603, 0.563136, 0.313852, 0.289330, 0.649447, -0.145592, -0.163851, 0.000000, 0.000000, 0.000000], [0.234017, 0.419029, -0.082558, 0.001868, 0.029278, 0.682770, 0.543875, 0.000000, 0.000000, 0.000000], [0.562526, -0.008645, 0.456425, -0.021201, -0.046212, -0.503286, 0.468278, 0.000000, 0.000000, 0.000000], [-0.469175, 0.221853, -0.470039, -0.144892, 0.004440, -0.454849, 0.530866, 0.000000, 0.000000, 0.000000]]
fourier: [[3.743802, 4.411157, 4.505339, 4.990066, 61.232137], [11.692313, 14.025216, 14.259061, 16.316500, 17.544356], [6.559436, 8.063247, 8.406769, 9.630201, 97.773308], [4.094055, 4.724930, 4.971963, 5.318666, 61.433987], [5.223484, 6.392478, 6.618799, 7.635149, 68.958732], [12.768020, 15.305206, 15.653839, 17.842351, 39.156018], [10.663227, 12.660502, 13.119052, 14.790146, 29.711932]]
### 8
mean: [-0.383800, -0.633398, 1.470284, 1.255275, 1.221752, -0.520450, -0.562540]
std: [0.030141, 0.517511, 0.649762, 0.318035, 1.429245, 0.526004, 0.503691]
pca: [[-0.012220, 0.084725, -0.598039, 0.515602, -0.022206, 0.594658, 0.122736, 0.000000, 0.000000, 0.000000], [-0.282543, -0.156043, 0.663102, 0.406145, -0.230737, 0.384484, -0.300157, 0.000000, 0.000000, 0.000000], [0.348913, 0.872710, 0.201989, -0.040200, -0.238113, 0.122358, -0.050522, 0.000000, 0.000000, 0.000000], [0.173758, 0.052390, 0.379968, 0.175902, 0.699687, 0.142252, 0.530988, 0.000000, 0.000000, 0.000000], [0.781075, -0.331536, 0.048412, 0.412181, -0.214812, -0.244011, -0.045642, 0.000000, 0.000000, 0.000000], [-0.286652, 0.304572, -0.095018, 0.574520, 0.281040, -0.575804, -0.274647, 0.000000, 0.000000, 0.000000], [-0.275392, 0.037748, 0.078081, 0.191512, -0.524290, -0.268803, 0.729949, 0.000000, 0.000000, 0.000000]]
fourier: [[0.345475, 0.370372, 0.373910, 0.380990, 34.541992], [7.611759, 9.149742, 9.156632, 10.348486, 57.005844], [9.493060, 11.344573, 11.597760, 13.461089, 132.325543], [4.629127, 5.461400, 5.521773, 6.315820, 112.974788], [20.774974, 24.568410, 24.756935, 27.803632, 109.957690], [7.595901, 8.952744, 8.986894, 10.034864, 46.840470], [7.347931, 8.743217, 8.759166, 9.893462, 50.628560]]
### 10
mean: [-0.660498, 3.653304, 3.818092, 1.736066, 0.288035, 3.504366, 2.048289]
std: [0.484901, 1.269690, 1.248376, 0.580300, 0.170272, 1.105564, 0.647511]
pca: [[-0.155099, 0.954585, -0.090092, -0.017960, 0.089833, 0.142195, 0.167283, 0.000000, 0.000000, 0.000000], [0.551789, 0.051148, -0.348269, -0.497558, -0.172626, -0.375967, 0.391032, 0.000000, 0.000000, 0.000000], [0.542521, 0.066857, -0.178104, 0.047465, -0.303209, 0.662371, -0.369535, 0.000000, 0.000000, 0.000000], [0.248890, 0.272335, 0.215112, 0.336550, -0.305668, -0.610107, -0.488555, 0.000000, 0.000000, 0.000000], [0.072868, -0.072753, -0.279497, 0.759427, -0.230586, 0.008433, 0.530385, 0.000000, 0.000000, 0.000000], [0.480337, 0.046868, 0.741149, 0.089089, 0.296009, 0.114527, 0.330308, 0.000000, 0.000000, 0.000000], [0.281362, -0.005088, -0.406421, 0.227878, 0.797478, -0.119483, -0.231206, 0.000000, 0.000000, 0.000000]]
fourier: [[6.644639, 6.837582, 7.669879, 7.705761, 59.444780], [18.956344, 23.069968, 23.838382, 26.466906, 328.797395], [18.567439, 22.638011, 23.400363, 26.037546, 343.628285], [8.829484, 10.327606, 10.841196, 11.915111, 156.245927], [2.567576, 3.006248, 3.110091, 3.552513, 25.923140], [16.166036, 20.050660, 20.561240, 23.041229, 315.393000], [9.725556, 11.740423, 12.148112, 13.531277, 184.346025]]
### 12
mean: [-10.265550]
std: [3.365302]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.027423, 61.155169, 63.259938, 69.883735, 923.899456]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-0.935117, -1.256064, 0.180792, -2.688485, -1.010699, -0.082137, 0.708234]
std: [1.816800, 1.236031, 2.692258, 2.550160, 2.478552, 1.901762, 2.080565]
pca: [[0.282102, 0.304136, -0.370891, 0.560962, -0.601100, -0.114756, 0.034508, 0.000000, 0.000000, 0.000000], [-0.154591, 0.131189, 0.609084, 0.244239, -0.111710, -0.005891, 0.718151, 0.000000, 0.000000, 0.000000], [-0.405982, 0.582280, -0.393635, -0.480656, -0.108893, 0.124709, 0.287644, 0.000000, 0.000000, 0.000000], [0.173069, 0.725243, 0.377994, 0.141961, 0.297131, 0.138109, -0.416745, 0.000000, 0.000000, 0.000000], [0.556245, 0.123172, 0.141289, -0.497905, -0.103402, -0.617319, 0.125593, 0.000000, 0.000000, 0.000000], [0.425188, -0.093682, 0.166320, -0.319046, -0.386125, 0.728979, 0.022003, 0.000000, 0.000000, 0.000000], [0.459949, 0.036266, -0.382104, 0.157437, 0.605203, 0.199191, 0.458688, 0.000000, 0.000000, 0.000000]]
fourier: [[31.435528, 31.906041, 34.562345, 35.832126, 84.160508], [17.552329, 19.427985, 22.001109, 22.623502, 113.045738], [37.795842, 38.153606, 38.425301, 38.743225, 56.211318], [46.714825, 47.917323, 50.986642, 51.245962, 241.963678], [42.567646, 42.987997, 46.787946, 58.180100, 90.962942], [32.334815, 35.155823, 35.188570, 35.855025, 39.137007], [31.391833, 34.290160, 40.429787, 41.843734, 63.741044]]
### 2
mean: [-0.266448, -0.280710, -0.911998, -1.365763, -0.117001, -1.170903, 0.347155]
std: [1.095802, 0.823853, 0.717113, 1.135509, 1.400724, 0.907117, 1.451917]
pca: [[0.443013, -0.036026, 0.115899, 0.518190, -0.196044, 0.615711, 0.320867, 0.000000, 0.000000, 0.000000], [0.332636, -0.068296, 0.116127, -0.271529, -0.152725, -0.472195, 0.742416, 0.000000, 0.000000, 0.000000], [-0.019873, 0.446665, -0.298737, 0.375000, 0.685192, -0.147287, 0.281148, 0.000000, 0.000000, 0.000000], [0.124296, 0.698723, -0.438435, -0.294969, -0.439041, 0.154352, -0.022861, 0.000000, 0.000000, 0.000000], [0.572177, 0.029226, -0.053940, 0.382656, -0.154937, -0.525538, -0.471412, 0.000000, 0.000000, 0.000000], [0.148751, 0.503193, 0.798539, -0.173963, 0.187247, 0.050256, -0.138404, 0.000000, 0.000000, 0.000000], [0.572482, -0.228596, -0.225919, -0.503419, 0.465757, 0.271475, -0.157831, 0.000000, 0.000000, 0.000000]]
fourier: [[17.808988, 17.973739, 18.097830, 21.185943, 23.980340], [12.470295, 13.674843, 14.409134, 14.509348, 25.263908], [9.450501, 10.649812, 12.646068, 16.778740, 82.079848], [17.340937, 17.890123, 21.723977, 33.360476, 122.918662], [20.753025, 20.993049, 22.005286, 23.634603, 26.508674], [12.612133, 13.055126, 15.745444, 23.067963, 105.381267], [21.757205, 23.517901, 23.821247, 24.711432, 31.243917]]
### 4
mean: [0.369134, -0.094915, -0.292373, -0.048790, -0.898667, -0.323629, -0.805212]
std: [0.932668, 0.809289, 0.231082, 0.177218, 0.265962, 0.287941, 0.315143]
pca: [[0.703604, 0.038727, 0.050240, -0.539826, 0.265377, -0.284417, -0.241223, 0.000000, 0.000000, 0.000000], [0.606888, -0.289821, 0.095452, 0.552099, 0.145291, 0.433847, 0.156313, 0.000000, 0.000000, 0.000000], [0.086808, 0.625022, 0.570711, 0.337839, -0.154723, -0.076592, -0.363539, 0.000000, 0.000000, 0.000000], [0.127949, 0.067231, 0.404543, -0.132016, -0.239806, -0.269248, 0.817328, 0.000000, 0.000000, 0.000000], [-0.140161, -0.584136, 0.608915, -0.280972, -0.253856, 0.215434, -0.280292, 0.000000, 0.000000, 0.000000], [-0.204232, 0.304805, 0.243364, -0.310651, 0.597761, 0.560214, 0.196201, 0.000000, 0.000000, 0.000000], [-0.226643, -0.291909, 0.262671, 0.311066, 0.636599, -0.540622, -0.011590, 0.000000, 0.000000, 0.000000]]
fourier: [[13.475766, 15.496903, 16.987321, 19.672630, 33.222083], [11.725626, 11.836598, 13.564743, 13.671081, 16.866540], [3.581263, 3.666025, 3.897700, 5.364355, 26.313590], [2.609368, 2.613209, 3.110994, 3.416377, 4.391086], [3.980152, 4.217866, 4.480300, 5.901124, 80.880020], [4.284672, 4.554534, 4.846493, 6.055212, 29.126631], [4.708571, 5.446521, 6.409588, 6.419747, 72.469100]]
### 6
mean: [-0.680357, -0.194937, -1.086370, -0.682600, -0.766208, 0.435067, -0.330133]
std: [0.256735, 0.792728, 0.460755, 0.274245, 0.363001, 0.870288, 0.726052]
pca: [[0.164739, -0.431476, -0.356670, 0.720559, 0.318127, -0.007722, 0.197500, 0.000000, 0.000000, 0.000000], [-0.512343, -0.052305, 0.490386, 0.470476, -0.459129, 0.105475, 0.225873, 0.000000, 0.000000, 0.000000], [0.296994, 0.518741, -0.312616, 0.392794, -0.513032, -0.203124, -0.293641, 0.000000, 0.000000, 0.000000], [-0.175603, 0.563136, 0.313852, 0.289330, 0.649447, -0.145592, -0.163851, 0.000000, 0.000000, 0.000000], [0.234017, 0.419029, -0.082558, 0.001868, 0.029278, 0.682770, 0.543875, 0.000000, 0.000000, 0.000000], [0.562526, -0.008645, 0.456425, -0.021201, -0.046212, -0.503286, 0.468278, 0.000000, 0.000000, 0.000000], [-0.469175, 0.221853, -0.470039, -0.144892, 0.004440, -0.454849, 0.530866, 0.000000, 0.000000, 0.000000]]
fourier: [[3.743802, 4.411157, 4.505339, 4.990066, 61.232137], [11.692313, 14.025216, 14.259061, 16.316500, 17.544356], [6.559436, 8.063247, 8.406769, 9.630201, 97.773308], [4.094055, 4.724930, 4.971963, 5.318666, 61.433987], [5.223484, 6.392478, 6.618799, 7.635149, 68.958732], [12.768020, 15.305206, 15.653839, 17.842351, 39.156018], [10.663227, 12.660502, 13.119052, 14.790146, 29.711932]]
### 8
mean: [-0.383800, -0.633398, 1.470284, 1.255275, 1.221752, -0.520450, -0.562540]
std: [0.030141, 0.517511, 0.649762, 0.318035, 1.429245, 0.526004, 0.503691]
pca: [[-0.012220, 0.084725, -0.598039, 0.515602, -0.022206, 0.594658, 0.122736, 0.000000, 0.000000, 0.000000], [-0.282543, -0.156043, 0.663102, 0.406145, -0.230737, 0.384484, -0.300157, 0.000000, 0.000000, 0.000000], [0.348913, 0.872710, 0.201989, -0.040200, -0.238113, 0.122358, -0.050522, 0.000000, 0.000000, 0.000000], [0.173758, 0.052390, 0.379968, 0.175902, 0.699687, 0.142252, 0.530988, 0.000000, 0.000000, 0.000000], [0.781075, -0.331536, 0.048412, 0.412181, -0.214812, -0.244011, -0.045642, 0.000000, 0.000000, 0.000000], [-0.286652, 0.304572, -0.095018, 0.574520, 0.281040, -0.575804, -0.274647, 0.000000, 0.000000, 0.000000], [-0.275392, 0.037748, 0.078081, 0.191512, -0.524290, -0.268803, 0.729949, 0.000000, 0.000000, 0.000000]]
fourier: [[0.345475, 0.370372, 0.373910, 0.380990, 34.541992], [7.611759, 9.149742, 9.156632, 10.348486, 57.005844], [9.493060, 11.344573, 11.597760, 13.461089, 132.325543], [4.629127, 5.461400, 5.521773, 6.315820, 112.974788], [20.774974, 24.568410, 24.756935, 27.803632, 109.957690], [7.595901, 8.952744, 8.986894, 10.034864, 46.840470], [7.347931, 8.743217, 8.759166, 9.893462, 50.628560]]
### 10
mean: [-0.660498, 3.653304, 3.818092, 1.736066, 0.288035, 3.504366, 2.048289]
std: [0.484901, 1.269690, 1.248376, 0.580300, 0.170272, 1.105564, 0.647511]
pca: [[-0.155099, 0.954585, -0.090092, -0.017960, 0.089833, 0.142195, 0.167283, 0.000000, 0.000000, 0.000000], [0.551789, 0.051148, -0.348269, -0.497558, -0.172626, -0.375967, 0.391032, 0.000000, 0.000000, 0.000000], [0.542521, 0.066857, -0.178104, 0.047465, -0.303209, 0.662371, -0.369535, 0.000000, 0.000000, 0.000000], [0.248890, 0.272335, 0.215112, 0.336550, -0.305668, -0.610107, -0.488555, 0.000000, 0.000000, 0.000000], [0.072868, -0.072753, -0.279497, 0.759427, -0.230586, 0.008433, 0.530385, 0.000000, 0.000000, 0.000000], [0.480337, 0.046868, 0.741149, 0.089089, 0.296009, 0.114527, 0.330308, 0.000000, 0.000000, 0.000000], [0.281362, -0.005088, -0.406421, 0.227878, 0.797478, -0.119483, -0.231206, 0.000000, 0.000000, 0.000000]]
fourier: [[6.644639, 6.837582, 7.669879, 7.705761, 59.444780], [18.956344, 23.069968, 23.838382, 26.466906, 328.797395], [18.567439, 22.638011, 23.400363, 26.037546, 343.628285], [8.829484, 10.327606, 10.841196, 11.915111, 156.245927], [2.567576, 3.006248, 3.110091, 3.552513, 25.923140], [16.166036, 20.050660, 20.561240, 23.041229, 315.393000], [9.725556, 11.740423, 12.148112, 13.531277, 184.346025]]
### 12
mean: [-10.265550]
std: [3.365302]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.027423, 61.155169, 63.259938, 69.883735, 923.899456]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.446924, 0.317161, -0.612356, 0.312758, 0.016563], [0.313184, -0.273998, -0.198908, -0.277551, -0.327674], [0.823149, 0.381943, -0.198241, 0.189464, -1.144593], [-0.346199, 0.025891, -0.483979, 0.1969, -1.020625], [-1.334482, 0.383929, 0.161038, 0.007987, 0.070603], [-1.034742, 0.283348, 0.166706, -0.146005, 0.376549], [-0.87243, 0.070419, -0.010004, 0.475922, 0.264867]], "network.0.bias": [-0.368859, 0.268304, -0.120084, -0.45733, -0.490211, 0.189678, 0.339245], "network.2.weight": [[0.29971, 0.326858, -0.487117, -0.165591, 0.261158, 0.384853, 0.126924], [-0.079362, 0.128442, -0.332451, -0.151431, 0.219985, 0.058348, 0.325481], [0.109923, 0.230463, -0.235044, 0.096706, -0.392283, 0.156539, -0.494965], [-0.200662, -0.767804, -0.456249, -0.492769, -0.521094, 0.174922, -0.469466], [0.313376, 0.336845, -0.689649, -0.347617, 0.335813, 0.29952, 0.174034], [-0.673887, 0.585485, -0.348119, -0.01461, -0.086261, 0.337656, -0.22891], [0.198013, 0.286295, -0.536343, -0.219096, 0.006282, 0.131211, 0.64872]], "network.2.bias": [-0.279871, -0.408556, -0.089984, -0.293009, 0.040883, -0.579594, 0.007034], "network.4.weight": [[0.630199, 0.187636, 0.191767, 0.078801, 0.36798, 0.004603, 0.495902], [0.111202, 0.200456, 0.755953, 0.211008, 0.411294, -0.169367, 0.570363], [0.549756, 0.190517, 0.706309, 0.006278, 0.206285, 0.282789, -0.34406], [0.387629, 0.219235, 0.532034, 0.088704, -0.136095, 0.11961, 0.011968], [-0.091151, 0.34362, 0.640797, 0.63115, -0.683683, 0.04397, 0.129314], [-0.079123, 0.031385, -0.279152, 0.383479, 0.090576, 0.365894, -0.355692], [-0.360557, -0.091129, 0.370364, 0.464514, -0.208698, 0.219639, -0.018518]], "network.4.bias": [-0.152257, -0.551922, -0.128107, -0.012805, -0.651564, -0.066307, -0.566128], "network.6.weight": [[-0.091408, -0.176837, -0.127052, -0.621183, 0.566829, -0.264915, -0.071822], [0.511285, 0.561922, 0.172627, -0.196214, 0.081578, 0.243021, 0.22067], [-0.585278, 0.018723, 0.374365, -0.040063, 0.692074, -0.346229, -0.126254], [0.036154, 0.300742, 0.207388, 0.233091, 0.374868, 0.440008, 0.627515], [-0.405544, -0.082613, 0.159397, 0.138886, -0.04877, -0.138195, 0.651237], [-0.546895, -0.493846, -0.286831, -0.307571, -0.503048, 0.203629, -0.508911], [0.424461, 0.433006, 0.435775, 0.374778, 0.197216, -0.137065, 0.08095]], "network.6.bias": [-0.586966, -0.384557, -0.770374, -0.51514, -0.499322, 0.543474, -0.477525], "network.8.weight": [[0.300442, 0.058744, 0.668103, 0.783721, 0.263643, 0.016608, -0.226143], [0.267909, 0.316093, 0.453991, -0.160066, 0.347293, -0.286246, 0.420845], [-0.327998, -0.08035, -0.741644, -0.594807, -0.142817, 0.836302, -0.566703], [-0.470059, -0.007775, -0.986659, -0.549355, -0.259838, 0.187734, -0.30153], [-0.353605, -0.764484, -0.872958, -0.586856, -0.295621, 0.457714, -1.312737], [0.682847, 0.444392, 0.405173, 0.509781, 0.597075, -0.075468, 0.227648], [0.660025, 0.235465, 0.827083, 0.310966, 0.505601, -0.201037, 0.398125]], "network.8.bias": [-0.090924, -0.388816, 0.814411, 0.83225, 0.773412, -0.188691, -0.142489], "network.10.weight": [[-0.051092, 0.408617, -0.388825, -0.68572, 0.61, 0.401969, 0.332318], [0.214787, -0.260393, 0.561089, 0.874835, 1.070302, -0.239752, 0.052156], [-0.028192, -0.122691, 0.750107, 0.582617, 0.979362, -0.088674, -0.291841], [-0.459079, 0.037613, 0.524633, 0.024408, 0.518061, -0.089562, 0.097466], [-0.144576, 0.355382, 0.113169, -0.284716, 0.192717, -0.266209, -0.355028], [0.097223, -0.176925, 1.121094, 0.6081, 0.440198, -0.207707, 0.064144], [-0.138668, 0.165335, 0.243344, 0.219569, 0.643617, -0.528329, 0.070282]], "network.10.bias": [-0.090901, 0.35825, 0.675832, 0.182707, 0.143979, 0.590941, 0.515954], "network.12.weight": [[0.445003, -0.766139, -0.867182, -0.152423, 0.10851, -0.74477, -0.436955]], "network.12.bias": [-0.402837]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845620572566986, "train_acc": 0.595, "val_loss": 0.7463005185127258, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6741257309913635, "train_acc": 0.595, "val_loss": 0.7278268337249756, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6667480170726776, "train_acc": 0.595, "val_loss": 0.6657368540763855, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5713185667991638, "train_acc": 0.705, "val_loss": 0.6049469709396362, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5174375474452972, "train_acc": 0.75, "val_loss": 0.547045886516571, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4357205033302307, "train_acc": 0.785, "val_loss": 0.5137634873390198, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4054561108350754, "train_acc": 0.84, "val_loss": 0.5081397294998169, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.38523438572883606, "train_acc": 0.82, "val_loss": 0.5676876902580261, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.41669875383377075, "train_acc": 0.77, "val_loss": 0.6053363084793091, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.34531112015247345, "train_acc": 0.825, "val_loss": 0.5125599503517151, "val_acc": 0.74}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7463005185127258, "final_val_loss": 0.6657368540763855, "initial_val_acc": 0.4, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6049469709396362, "final_val_loss": 0.5125599503517151, "initial_val_acc": 0.74, "final_val_acc": 0.74, "best_val_acc": 0.78, "best_epoch": 7}, "improvement": 0.32, "first_improvement_epoch": 2}}
|
30
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3187, "learning_rate": 0.06433198685419476, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.660105, -1.598668, 1.988930, -1.725436, 1.652287, -1.183799, 1.946519, -0.424285]
std: [1.792151, 1.167797, 2.183958, 1.571675, 1.993625, 1.236961, 1.513675, 1.652128]
pca: [[0.437821, 0.203528, 0.276287, 0.297447, -0.350907, -0.204311, 0.653603, -0.100022, 0.000000, 0.000000], [-0.067316, 0.383468, -0.436350, -0.160141, 0.580631, -0.210029, 0.378899, -0.327972, 0.000000, 0.000000], [0.575098, -0.010958, -0.065724, 0.026407, 0.415688, -0.155523, -0.087769, 0.677818, 0.000000, 0.000000], [-0.378941, -0.029462, 0.077924, 0.858006, 0.316923, 0.014477, 0.030825, 0.108120, 0.000000, 0.000000], [0.518519, 0.027207, -0.170466, 0.329961, 0.015199, -0.051314, -0.527219, -0.558248, 0.000000, 0.000000], [0.077206, 0.341032, -0.556953, 0.163141, -0.290423, 0.636073, 0.078922, 0.213920, 0.000000, 0.000000], [0.230297, -0.575651, 0.104455, -0.045529, 0.338505, 0.573779, 0.328022, -0.226270, 0.000000, 0.000000], [0.039842, 0.601767, 0.610496, -0.106991, 0.259484, 0.391541, -0.169700, -0.051983, 0.000000, 0.000000]]
fourier: [[29.322311, 32.365745, 33.732093, 37.465522, 149.409451], [17.834082, 18.756371, 19.627412, 20.617713, 143.880165], [33.929623, 34.842699, 40.136258, 40.235362, 179.003743], [24.698410, 24.863396, 26.089512, 28.338585, 155.289229], [30.499798, 33.575453, 35.107900, 38.286295, 148.705790], [19.005354, 20.862080, 21.518244, 22.575435, 106.541930], [24.872370, 25.052553, 28.643410, 29.956865, 175.186676], [25.074115, 27.712413, 28.848725, 35.464937, 38.185667]]
### 2
mean: [0.470834, -0.148491, 1.357742, 1.904602, -1.040496, -1.270210, 0.866697, 1.473469]
std: [1.198327, 0.736857, 2.020514, 1.910137, 0.869475, 0.711017, 0.812392, 1.553479]
pca: [[0.309886, 0.380585, -0.300621, -0.360626, 0.385801, -0.541953, -0.149881, -0.271444, 0.000000, 0.000000], [0.089915, 0.498468, -0.258328, -0.025260, 0.065670, 0.280564, 0.727454, 0.252697, 0.000000, 0.000000], [0.574897, 0.257350, -0.002164, 0.089511, -0.025381, 0.621780, -0.435120, -0.136617, 0.000000, 0.000000], [0.529042, -0.383670, 0.397877, 0.049809, 0.127563, -0.072175, 0.491132, -0.386566, 0.000000, 0.000000], [-0.242664, -0.046355, -0.208631, 0.626787, 0.656166, 0.118240, -0.011815, -0.240628, 0.000000, 0.000000], [-0.167351, 0.186184, 0.664015, -0.319533, 0.539133, 0.149622, -0.083268, 0.272632, 0.000000, 0.000000], [-0.126092, -0.484779, -0.402848, -0.586117, 0.231612, 0.414941, 0.046382, -0.123690, 0.000000, 0.000000], [0.427437, -0.348467, -0.194562, 0.142555, 0.234662, -0.164950, -0.092638, 0.739483, 0.000000, 0.000000]]
fourier: [[19.650360, 23.112345, 23.448504, 25.554237, 42.375018], [10.103308, 10.812124, 12.669222, 13.364225, 16.004952], [33.631796, 36.314685, 36.991983, 38.134252, 122.196741], [29.961153, 32.673783, 33.835626, 34.242426, 171.414167], [14.606003, 14.978079, 15.178569, 17.373042, 93.644594], [10.907739, 11.419806, 11.552813, 15.290819, 114.318859], [11.130247, 11.482674, 13.585921, 16.492850, 78.002745], [23.034058, 26.159864, 27.055636, 30.105739, 132.612155]]
### 4
mean: [1.415219, 0.414998, 1.294392, -0.909820, 0.699304, -0.161208, 0.515597, 1.503331]
std: [2.039608, 0.491686, 2.179853, 2.154101, 0.486251, 0.190824, 0.544499, 2.500412]
pca: [[0.454952, 0.080265, 0.595363, -0.151106, -0.383662, 0.113737, -0.175191, 0.467399, 0.000000, 0.000000], [-0.066634, 0.526639, 0.283369, 0.212024, 0.428423, -0.502405, -0.396164, 0.007451, 0.000000, 0.000000], [0.486866, 0.038865, -0.169045, -0.017358, 0.591850, 0.568797, -0.241985, -0.014156, 0.000000, 0.000000], [-0.480490, 0.101397, 0.570883, -0.220104, 0.320226, 0.386687, 0.361243, -0.043894, 0.000000, 0.000000], [-0.065346, 0.523733, -0.001260, 0.420135, -0.437694, 0.435141, -0.101378, -0.392068, 0.000000, 0.000000], [0.038036, 0.012715, -0.052417, 0.697778, 0.137295, 0.037261, 0.457613, 0.528300, 0.000000, 0.000000], [-0.061228, 0.630371, -0.432933, -0.463059, -0.052500, 0.021681, 0.213752, 0.384853, 0.000000, 0.000000], [0.557856, 0.180531, 0.143460, -0.075059, 0.056951, -0.265312, 0.598273, -0.445450, 0.000000, 0.000000]]
fourier: [[33.635672, 34.074670, 36.454348, 36.695230, 127.369715], [6.592782, 6.697876, 7.985564, 10.328009, 37.349857], [36.679938, 37.180009, 39.701754, 40.079532, 116.495280], [36.664310, 38.001079, 38.559084, 39.694391, 81.883798], [6.384989, 6.730049, 8.146822, 10.565038, 62.937352], [3.112472, 3.282141, 3.314347, 3.988542, 14.508684], [7.901544, 8.247866, 9.065454, 10.743804, 46.403764], [40.658403, 41.742318, 45.180174, 45.205356, 135.299803]]
### 6
mean: [0.588240, 0.302246, 0.432101, -0.506719, 1.507886, 0.737484, -0.775382, -0.148386]
std: [0.821521, 1.074945, 1.598594, 1.903134, 3.180414, 2.629815, 0.255231, 1.942907]
pca: [[0.150968, 0.539173, 0.243732, 0.165929, -0.416359, 0.164846, -0.260766, 0.575356, 0.000000, 0.000000], [0.199693, 0.232891, -0.573452, 0.116159, 0.375622, -0.528864, 0.031701, 0.376497, 0.000000, 0.000000], [0.297458, 0.323616, -0.006532, 0.396718, 0.361478, 0.218598, -0.464936, -0.504725, 0.000000, 0.000000], [-0.354391, -0.017918, 0.596326, 0.426687, 0.475356, -0.197747, 0.165419, 0.209734, 0.000000, 0.000000], [0.592543, 0.121508, 0.194977, 0.220955, -0.190876, -0.132320, 0.669488, -0.212451, 0.000000, 0.000000], [0.489828, -0.257747, 0.150742, -0.332726, 0.476432, 0.440072, 0.020341, 0.373016, 0.000000, 0.000000], [0.039917, -0.533846, -0.309669, 0.677664, -0.184470, 0.283046, -0.001885, 0.210104, 0.000000, 0.000000], [-0.361421, 0.428738, -0.315382, 0.027769, 0.177408, 0.561206, 0.488709, 0.007737, 0.000000, 0.000000]]
fourier: [[13.650883, 13.922683, 13.978316, 14.749731, 52.941582], [18.058257, 18.674888, 19.089716, 19.256328, 27.202114], [27.778861, 27.782267, 28.113754, 28.438626, 38.889132], [32.989351, 34.148154, 34.336251, 34.617335, 45.604735], [55.747445, 56.019519, 56.438862, 57.712034, 135.709710], [46.239361, 46.427241, 46.688835, 48.789154, 66.373521], [4.178410, 4.266587, 4.310859, 4.937359, 69.784367], [32.826401, 34.027276, 34.301445, 34.928097, 36.692137]]
### 8
mean: [0.230353, -0.656206, -0.312920, 0.391034, 0.057137, 1.095069, -0.430364, -0.108969]
std: [1.407507, 1.843593, 0.339582, 0.289394, 0.252636, 3.055044, 1.731219, 0.739475]
pca: [[0.324263, 0.634779, 0.098744, -0.220584, 0.248609, -0.023901, 0.590167, -0.151087, 0.000000, 0.000000], [-0.429502, -0.201798, 0.155694, 0.533117, -0.145839, -0.055891, 0.635211, -0.196127, 0.000000, 0.000000], [0.074112, -0.344811, -0.087833, 0.078808, 0.783800, -0.150517, -0.081510, -0.466955, 0.000000, 0.000000], [0.059672, 0.377710, 0.401784, 0.410252, -0.094934, 0.340880, -0.419900, -0.471708, 0.000000, 0.000000], [-0.057130, 0.032150, 0.724066, 0.088834, 0.281982, -0.395106, -0.106800, 0.465307, 0.000000, 0.000000], [0.711625, -0.399322, 0.142120, 0.265211, -0.020986, 0.388310, 0.197553, 0.230964, 0.000000, 0.000000], [-0.403447, -0.134883, 0.280600, -0.419975, 0.242259, 0.698561, 0.108142, 0.074500, 0.000000, 0.000000], [-0.169953, 0.340718, -0.416722, 0.487857, 0.393608, 0.250139, -0.055879, 0.471960, 0.000000, 0.000000]]
fourier: [[23.223637, 25.051091, 25.160284, 26.184729, 26.600080], [31.879903, 32.961140, 33.845753, 33.926303, 59.058586], [5.747638, 5.802550, 5.939246, 6.007159, 28.162838], [5.195333, 5.281394, 5.484418, 5.503674, 35.193089], [4.297758, 4.412544, 4.466955, 4.631197, 5.142337], [53.420920, 54.090329, 55.105480, 56.392329, 98.556209], [30.122456, 31.202490, 31.521949, 32.019536, 38.732783], [12.214107, 12.579938, 12.704846, 13.190179, 13.297536]]
### 10
mean: [-0.684165, 0.921416, 0.520178, 0.213251, -0.209020, 0.068887, 0.859003, -0.399752]
std: [1.572230, 1.768673, 0.706276, 1.038558, 0.241413, 0.820914, 1.354024, 1.814815]
pca: [[0.436105, 0.309613, 0.510255, 0.050362, 0.358577, -0.117775, 0.547907, -0.091679, 0.000000, 0.000000], [-0.490221, -0.428199, 0.337841, -0.419014, 0.419749, -0.146911, -0.000110, -0.298072, 0.000000, 0.000000], [-0.196043, 0.080597, 0.490897, 0.233460, 0.238411, 0.317944, -0.353071, 0.614004, 0.000000, 0.000000], [-0.287589, -0.288568, -0.326229, 0.635337, 0.326021, -0.136247, 0.419957, 0.150753, 0.000000, 0.000000], [-0.052084, 0.540587, -0.368380, -0.086394, 0.571909, -0.323063, -0.360470, -0.022278, 0.000000, 0.000000], [-0.227041, 0.275517, -0.173086, -0.029914, 0.172305, 0.813511, 0.195026, -0.334911, 0.000000, 0.000000], [-0.375274, 0.327791, 0.334391, 0.487410, -0.305257, -0.219355, -0.170698, -0.481561, 0.000000, 0.000000], [0.503254, -0.394241, 0.024864, 0.343231, 0.286624, 0.174954, -0.449069, -0.398068, 0.000000, 0.000000]]
fourier: [[27.401595, 28.392591, 29.276677, 29.277998, 61.574824], [31.064031, 31.683567, 33.135830, 33.156655, 82.927445], [12.364164, 12.395019, 13.080554, 13.190563, 46.816036], [18.050215, 18.916983, 19.184149, 19.192567, 19.364853], [3.866930, 3.990604, 4.043504, 4.693734, 18.811824], [14.090301, 14.235023, 14.364213, 14.947976, 15.103819], [23.558640, 23.782562, 24.791721, 25.206885, 77.310232], [31.491214, 31.877361, 33.274939, 33.811848, 35.977649]]
### 12
mean: [-0.273714]
std: [0.838804]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.494083, 15.007412, 15.505183, 15.518467, 24.634268]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.492676
]
],
"network.8.bias": [
-0.662787,
0.101792,
-0.097284,
-0.121104,
0.014913,
-0.026321,
0.371901,
-0.02699
],
"network.10.weight": [
[
-0.614296,
-0.046481,
-0.475809,
0.043753,
0.070081,
-0.253071,
0.288069,
0.092963
],
[
0.530061,
-0.011655,
-0.097135,
0.020164,
0.039375,
0.395604,
-0.021637,
-0.189366
],
[
-0.081078,
-0.24585,
0.227021,
-0.031776,
0.076619,
0.285145,
-0.093882,
0.289006
],
[
0.536914,
-0.253551,
-0.14305,
0.111728,
0.078182,
0.117459,
-0.28176,
0.268451
],
[
-0.27775,
-0.691101,
-0.121163,
0.116504,
-0.104555,
0.155376,
0.009225,
0.063738
],
[
-0.041713,
-0.381012,
0.478657,
-0.361593,
0.277259,
0.320054,
-0.202771,
0.305322
],
[
-0.035759,
-0.217152,
0.066494,
0.297647,
0.031269,
0.437203,
-0.553906,
0.123749
],
[
-0.061665,
0.220548,
0.020649,
-0.061629,
-0.078868,
-0.574246,
0.496063,
0.19906
]
],
"network.10.bias": [
-0.132505,
0.074518,
0.180784,
-0.183173,
-0.234276,
-0.190631,
0.302483,
0.333692
],
"network.12.weight": [
[
0.360664,
-0.276127,
-0.033596,
-0.170595,
-0.170628,
-0.073923,
-0.03389,
0.215466
]
],
"network.12.bias": [
-0.002895
]
}
## Activation Signature
### 0
mean: [1.660105, -1.598668, 1.988930, -1.725436, 1.652287, -1.183799, 1.946519, -0.424285]
std: [1.792151, 1.167797, 2.183958, 1.571675, 1.993625, 1.236961, 1.513675, 1.652128]
pca: [[0.437821, 0.203528, 0.276287, 0.297447, -0.350907, -0.204311, 0.653603, -0.100022, 0.000000, 0.000000], [-0.067316, 0.383468, -0.436350, -0.160141, 0.580631, -0.210029, 0.378899, -0.327972, 0.000000, 0.000000], [0.575098, -0.010958, -0.065724, 0.026407, 0.415688, -0.155523, -0.087769, 0.677818, 0.000000, 0.000000], [-0.378941, -0.029462, 0.077924, 0.858006, 0.316923, 0.014477, 0.030825, 0.108120, 0.000000, 0.000000], [0.518519, 0.027207, -0.170466, 0.329961, 0.015199, -0.051314, -0.527219, -0.558248, 0.000000, 0.000000], [0.077206, 0.341032, -0.556953, 0.163141, -0.290423, 0.636073, 0.078922, 0.213920, 0.000000, 0.000000], [0.230297, -0.575651, 0.104455, -0.045529, 0.338505, 0.573779, 0.328022, -0.226270, 0.000000, 0.000000], [0.039842, 0.601767, 0.610496, -0.106991, 0.259484, 0.391541, -0.169700, -0.051983, 0.000000, 0.000000]]
fourier: [[29.322311, 32.365745, 33.732093, 37.465522, 149.409451], [17.834082, 18.756371, 19.627412, 20.617713, 143.880165], [33.929623, 34.842699, 40.136258, 40.235362, 179.003743], [24.698410, 24.863396, 26.089512, 28.338585, 155.289229], [30.499798, 33.575453, 35.107900, 38.286295, 148.705790], [19.005354, 20.862080, 21.518244, 22.575435, 106.541930], [24.872370, 25.052553, 28.643410, 29.956865, 175.186676], [25.074115, 27.712413, 28.848725, 35.464937, 38.185667]]
### 2
mean: [0.470834, -0.148491, 1.357742, 1.904602, -1.040496, -1.270210, 0.866697, 1.473469]
std: [1.198327, 0.736857, 2.020514, 1.910137, 0.869475, 0.711017, 0.812392, 1.553479]
pca: [[0.309886, 0.380585, -0.300621, -0.360626, 0.385801, -0.541953, -0.149881, -0.271444, 0.000000, 0.000000], [0.089915, 0.498468, -0.258328, -0.025260, 0.065670, 0.280564, 0.727454, 0.252697, 0.000000, 0.000000], [0.574897, 0.257350, -0.002164, 0.089511, -0.025381, 0.621780, -0.435120, -0.136617, 0.000000, 0.000000], [0.529042, -0.383670, 0.397877, 0.049809, 0.127563, -0.072175, 0.491132, -0.386566, 0.000000, 0.000000], [-0.242664, -0.046355, -0.208631, 0.626787, 0.656166, 0.118240, -0.011815, -0.240628, 0.000000, 0.000000], [-0.167351, 0.186184, 0.664015, -0.319533, 0.539133, 0.149622, -0.083268, 0.272632, 0.000000, 0.000000], [-0.126092, -0.484779, -0.402848, -0.586117, 0.231612, 0.414941, 0.046382, -0.123690, 0.000000, 0.000000], [0.427437, -0.348467, -0.194562, 0.142555, 0.234662, -0.164950, -0.092638, 0.739483, 0.000000, 0.000000]]
fourier: [[19.650360, 23.112345, 23.448504, 25.554237, 42.375018], [10.103308, 10.812124, 12.669222, 13.364225, 16.004952], [33.631796, 36.314685, 36.991983, 38.134252, 122.196741], [29.961153, 32.673783, 33.835626, 34.242426, 171.414167], [14.606003, 14.978079, 15.178569, 17.373042, 93.644594], [10.907739, 11.419806, 11.552813, 15.290819, 114.318859], [11.130247, 11.482674, 13.585921, 16.492850, 78.002745], [23.034058, 26.159864, 27.055636, 30.105739, 132.612155]]
### 4
mean: [1.415219, 0.414998, 1.294392, -0.909820, 0.699304, -0.161208, 0.515597, 1.503331]
std: [2.039608, 0.491686, 2.179853, 2.154101, 0.486251, 0.190824, 0.544499, 2.500412]
pca: [[0.454952, 0.080265, 0.595363, -0.151106, -0.383662, 0.113737, -0.175191, 0.467399, 0.000000, 0.000000], [-0.066634, 0.526639, 0.283369, 0.212024, 0.428423, -0.502405, -0.396164, 0.007451, 0.000000, 0.000000], [0.486866, 0.038865, -0.169045, -0.017358, 0.591850, 0.568797, -0.241985, -0.014156, 0.000000, 0.000000], [-0.480490, 0.101397, 0.570883, -0.220104, 0.320226, 0.386687, 0.361243, -0.043894, 0.000000, 0.000000], [-0.065346, 0.523733, -0.001260, 0.420135, -0.437694, 0.435141, -0.101378, -0.392068, 0.000000, 0.000000], [0.038036, 0.012715, -0.052417, 0.697778, 0.137295, 0.037261, 0.457613, 0.528300, 0.000000, 0.000000], [-0.061228, 0.630371, -0.432933, -0.463059, -0.052500, 0.021681, 0.213752, 0.384853, 0.000000, 0.000000], [0.557856, 0.180531, 0.143460, -0.075059, 0.056951, -0.265312, 0.598273, -0.445450, 0.000000, 0.000000]]
fourier: [[33.635672, 34.074670, 36.454348, 36.695230, 127.369715], [6.592782, 6.697876, 7.985564, 10.328009, 37.349857], [36.679938, 37.180009, 39.701754, 40.079532, 116.495280], [36.664310, 38.001079, 38.559084, 39.694391, 81.883798], [6.384989, 6.730049, 8.146822, 10.565038, 62.937352], [3.112472, 3.282141, 3.314347, 3.988542, 14.508684], [7.901544, 8.247866, 9.065454, 10.743804, 46.403764], [40.658403, 41.742318, 45.180174, 45.205356, 135.299803]]
### 6
mean: [0.588240, 0.302246, 0.432101, -0.506719, 1.507886, 0.737484, -0.775382, -0.148386]
std: [0.821521, 1.074945, 1.598594, 1.903134, 3.180414, 2.629815, 0.255231, 1.942907]
pca: [[0.150968, 0.539173, 0.243732, 0.165929, -0.416359, 0.164846, -0.260766, 0.575356, 0.000000, 0.000000], [0.199693, 0.232891, -0.573452, 0.116159, 0.375622, -0.528864, 0.031701, 0.376497, 0.000000, 0.000000], [0.297458, 0.323616, -0.006532, 0.396718, 0.361478, 0.218598, -0.464936, -0.504725, 0.000000, 0.000000], [-0.354391, -0.017918, 0.596326, 0.426687, 0.475356, -0.197747, 0.165419, 0.209734, 0.000000, 0.000000], [0.592543, 0.121508, 0.194977, 0.220955, -0.190876, -0.132320, 0.669488, -0.212451, 0.000000, 0.000000], [0.489828, -0.257747, 0.150742, -0.332726, 0.476432, 0.440072, 0.020341, 0.373016, 0.000000, 0.000000], [0.039917, -0.533846, -0.309669, 0.677664, -0.184470, 0.283046, -0.001885, 0.210104, 0.000000, 0.000000], [-0.361421, 0.428738, -0.315382, 0.027769, 0.177408, 0.561206, 0.488709, 0.007737, 0.000000, 0.000000]]
fourier: [[13.650883, 13.922683, 13.978316, 14.749731, 52.941582], [18.058257, 18.674888, 19.089716, 19.256328, 27.202114], [27.778861, 27.782267, 28.113754, 28.438626, 38.889132], [32.989351, 34.148154, 34.336251, 34.617335, 45.604735], [55.747445, 56.019519, 56.438862, 57.712034, 135.709710], [46.239361, 46.427241, 46.688835, 48.789154, 66.373521], [4.178410, 4.266587, 4.310859, 4.937359, 69.784367], [32.826401, 34.027276, 34.301445, 34.928097, 36.692137]]
### 8
mean: [0.230353, -0.656206, -0.312920, 0.391034, 0.057137, 1.095069, -0.430364, -0.108969]
std: [1.407507, 1.843593, 0.339582, 0.289394, 0.252636, 3.055044, 1.731219, 0.739475]
pca: [[0.324263, 0.634779, 0.098744, -0.220584, 0.248609, -0.023901, 0.590167, -0.151087, 0.000000, 0.000000], [-0.429502, -0.201798, 0.155694, 0.533117, -0.145839, -0.055891, 0.635211, -0.196127, 0.000000, 0.000000], [0.074112, -0.344811, -0.087833, 0.078808, 0.783800, -0.150517, -0.081510, -0.466955, 0.000000, 0.000000], [0.059672, 0.377710, 0.401784, 0.410252, -0.094934, 0.340880, -0.419900, -0.471708, 0.000000, 0.000000], [-0.057130, 0.032150, 0.724066, 0.088834, 0.281982, -0.395106, -0.106800, 0.465307, 0.000000, 0.000000], [0.711625, -0.399322, 0.142120, 0.265211, -0.020986, 0.388310, 0.197553, 0.230964, 0.000000, 0.000000], [-0.403447, -0.134883, 0.280600, -0.419975, 0.242259, 0.698561, 0.108142, 0.074500, 0.000000, 0.000000], [-0.169953, 0.340718, -0.416722, 0.487857, 0.393608, 0.250139, -0.055879, 0.471960, 0.000000, 0.000000]]
fourier: [[23.223637, 25.051091, 25.160284, 26.184729, 26.600080], [31.879903, 32.961140, 33.845753, 33.926303, 59.058586], [5.747638, 5.802550, 5.939246, 6.007159, 28.162838], [5.195333, 5.281394, 5.484418, 5.503674, 35.193089], [4.297758, 4.412544, 4.466955, 4.631197, 5.142337], [53.420920, 54.090329, 55.105480, 56.392329, 98.556209], [30.122456, 31.202490, 31.521949, 32.019536, 38.732783], [12.214107, 12.579938, 12.704846, 13.190179, 13.297536]]
### 10
mean: [-0.684165, 0.921416, 0.520178, 0.213251, -0.209020, 0.068887, 0.859003, -0.399752]
std: [1.572230, 1.768673, 0.706276, 1.038558, 0.241413, 0.820914, 1.354024, 1.814815]
pca: [[0.436105, 0.309613, 0.510255, 0.050362, 0.358577, -0.117775, 0.547907, -0.091679, 0.000000, 0.000000], [-0.490221, -0.428199, 0.337841, -0.419014, 0.419749, -0.146911, -0.000110, -0.298072, 0.000000, 0.000000], [-0.196043, 0.080597, 0.490897, 0.233460, 0.238411, 0.317944, -0.353071, 0.614004, 0.000000, 0.000000], [-0.287589, -0.288568, -0.326229, 0.635337, 0.326021, -0.136247, 0.419957, 0.150753, 0.000000, 0.000000], [-0.052084, 0.540587, -0.368380, -0.086394, 0.571909, -0.323063, -0.360470, -0.022278, 0.000000, 0.000000], [-0.227041, 0.275517, -0.173086, -0.029914, 0.172305, 0.813511, 0.195026, -0.334911, 0.000000, 0.000000], [-0.375274, 0.327791, 0.334391, 0.487410, -0.305257, -0.219355, -0.170698, -0.481561, 0.000000, 0.000000], [0.503254, -0.394241, 0.024864, 0.343231, 0.286624, 0.174954, -0.449069, -0.398068, 0.000000, 0.000000]]
fourier: [[27.401595, 28.392591, 29.276677, 29.277998, 61.574824], [31.064031, 31.683567, 33.135830, 33.156655, 82.927445], [12.364164, 12.395019, 13.080554, 13.190563, 46.816036], [18.050215, 18.916983, 19.184149, 19.192567, 19.364853], [3.866930, 3.990604, 4.043504, 4.693734, 18.811824], [14.090301, 14.235023, 14.364213, 14.947976, 15.103819], [23.558640, 23.782562, 24.791721, 25.206885, 77.310232], [31.491214, 31.877361, 33.274939, 33.811848, 35.977649]]
### 12
mean: [-0.273714]
std: [0.838804]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.494083, 15.007412, 15.505183, 15.518467, 24.634268]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.6601048707962036, "std": 1.7921513319015503, "pca": [0.43782109022140503, 0.20352771878242493, 0.2762870192527771, 0.29744666814804077, -0.35090723633766174, -0.2043113261461258, 0.6536028981208801, -0.10002181679010391, 0.0, 0.0], "fourier": [29.322311477533848, 32.36574520990147, 33.73209307051764, 37.46552232977921, 149.40945091843605]}, "1": {"mean": -1.5986684560775757, "std": 1.1677972078323364, "pca": [-0.0673157125711441, 0.38346797227859497, -0.43634966015815735, -0.1601414531469345, 0.5806313157081604, -0.21002864837646484, 0.3788987398147583, -0.3279719352722168, 0.0, 0.0], "fourier": [17.834082219762067, 18.756370824558555, 19.627412242146058, 20.617712624254693, 143.88016536086798]}, "2": {"mean": 1.9889302253723145, "std": 2.183957576751709, "pca": [0.5750979781150818, -0.010957630351185799, -0.06572438776493073, 0.026406854391098022, 0.4156884551048279, -0.15552280843257904, -0.08776898682117462, 0.677818238735199, 0.0, 0.0], "fourier": [33.92962348549958, 34.84269866793321, 40.136257838753096, 40.235362042232225, 179.00374322012067]}, "3": {"mean": -1.7254358530044556, "std": 1.5716749429702759, "pca": [-0.3789411783218384, -0.02946242317557335, 0.07792443037033081, 0.8580056428909302, 0.316922664642334, 0.014476820826530457, 0.030824529007077217, 0.10811984539031982, 0.0, 0.0], "fourier": [24.6984104524948, 24.863396229259248, 26.089512410019182, 28.338584572273447, 155.28922873735428]}, "4": {"mean": 1.6522866487503052, "std": 1.9936246871948242, "pca": [0.5185194611549377, 0.027207080274820328, -0.170465886592865, 0.3299609124660492, 0.015198842622339725, -0.05131395161151886, -0.5272191762924194, -0.5582475066184998, 0.0, 0.0], "fourier": [30.499797648235646, 33.57545291808477, 35.10790028754805, 38.286294990674996, 148.70579047873616]}, "5": {"mean": -1.183799147605896, "std": 1.2369614839553833, "pca": [0.07720556855201721, 0.3410322666168213, -0.5569534301757812, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.82077, -0.147793, 0.217798, 0.353387, -0.160999], [0.184169, -0.142138, -0.306885, -0.312925, -0.2527], [0.836753, 0.336221, 0.105157, 0.312634, -0.408879], [-0.518815, -0.419305, -0.124202, 0.115159, 0.079784], [0.760438, 0.191915, 0.204123, 0.294449, -0.528694], [0.30676, -0.149204, 0.010205, -0.238247, -0.510664], [-0.101701, 0.607785, 0.164277, 0.313698, -0.020986], [0.628982, -0.627446, -0.235172, 0.102394, 0.406134]], "network.0.bias": [-0.106197, 0.054911, -0.050836, -0.401642, -0.049511, -0.174252, -0.024422, -0.292901], "network.2.weight": [[0.442013, -0.723233, 0.100124, 0.292198, 0.081941, -0.600608, -0.229542, 0.391341], [0.251373, 0.006491, 0.055124, -0.207403, -0.08736, -0.453821, -0.296023, 0.411415], [0.251877, -0.081148, 0.616043, 0.687268, 0.128181, -0.580818, -0.246565, 0.608639], [-0.114002, -0.012343, 0.543306, 0.054026, 0.437304, -0.229541, 0.109479, 0.191116], [-0.258185, -0.453066, 0.115347, -0.239834, -0.366268, -0.186289, 0.059195, 0.005232], [-0.131666, 0.345764, 0.134121, -0.064668, -0.147294, 0.248882, -0.356647, -0.345149], [0.236986, 0.17955, -0.255912, -0.321769, -0.230669, -0.045673, 0.466542, -0.521079], [0.058484, -0.289976, 0.351305, 0.326982, 0.2343, -0.592055, 0.25007, 0.25565]], "network.2.bias": [-0.327253, -0.135159, -0.223917, -0.030704, -0.380077, -0.251258, 0.67144, -0.303214], "network.4.weight": [[0.080418, 0.208494, 0.280471, 0.292143, 0.079492, -0.129109, -0.606565, 0.449378], [0.131636, -0.570578, -0.19029, -0.010043, 0.022487, -0.492984, 0.289287, 0.155916], [0.348441, 0.146921, 0.438711, 0.412434, -0.167758, -0.19258, -0.197855, 0.100539], [-0.162808, -0.33537, -0.557546, -0.061771, -0.427538, -0.364599, 0.258127, -0.413565], [0.25815, -0.474248, -0.319876, -0.148485, -0.473782, -0.610259, 0.269591, 0.415419], [0.297287, -0.311466, -0.004263, -0.168069, -0.508905, 0.177419, -0.023233, 0.192078], [-0.000131, -0.208012, -0.120445, 0.19983, -0.183385, -0.163891, 0.666523, -0.085154], [0.216607, 0.105552, 0.505127, 0.403346, -0.2182, 0.505251, -0.339449, 0.299851]], "network.4.bias": [0.282932, 0.15172, -0.306484, 0.392475, 0.369118, -0.278846, -0.151235, -0.192303], "network.6.weight": [[0.235225, 0.244792, 0.000241, 0.115954, 0.043737, -0.118049, -0.131555, 0.169255], [-0.036274, -0.508295, -0.003546, -0.337161, 0.18313, 0.024038, -0.088948, 0.432512], [0.313627, -0.329298, -0.123687, -0.165819, -0.074566, -0.113352, -0.141316, 0.468883], [-0.391044, -0.035206, -0.497476, 0.584931, 0.385206, -0.445771, 0.274668, 0.080932], [0.506617, -0.487783, 0.232146, -0.48954, -0.429846, -0.101334, -0.428059, 0.567956], [0.52175, -0.557495, 0.301437, -0.522864, -0.769022, -0.059927, -0.118333, 0.245612], [0.103655, 0.171441, -0.147727, -0.30363, -0.278695, 0.549926, -0.329417, 0.047611], [-0.229376, 0.435009, -0.200095, 0.418295, 0.721167, -0.342206, 0.142333, -0.293661]], "network.6.bias": [-0.108227, -0.154145, -0.351144, 0.114478, 0.266882, -0.002127, -0.448942, 0.171338], "network.8.weight": [[-0.029145, 0.47366, 0.168945, 0.263653, 0.154371, 0.158308, -0.07939, 0.023266], [-0.144571, -0.506236, -0.289008, -0.21062, -0.095426, -0.211222, -0.235676, 0.356238], [0.22083, -0.010113, -0.071274, -0.120294, -0.222833, 0.332129, 0.480734, -0.302909], [0.128424, 0.048763, -0.515802, 0.040368, 0.170126, 0.195674, -0.436258, 0.261926], [-0.177938, 0.044351, -0.478705, 0.268947, 0.175131, 0.021688, -0.363083, -0.073976], [0.112104, 0.117852, 0.110723, -0.349718, 0.408308, 0.52752, 0.222563, -0.51032], [-0.071291, -0.454652, 0.006769, 0.357189, -0.171189, -0.306972, -0.284684, -0.090146], [0.308995, -0.010551, -0.217741, -0.253046, -0.33956, 0.210944, -0.39036, 0.492676]], "network.8.bias": [-0.662787, 0.101792, -0.097284, -0.121104, 0.014913, -0.026321, 0.371901, -0.02699], "network.10.weight": [[-0.614296, -0.046481, -0.475809, 0.043753, 0.070081, -0.253071, 0.288069, 0.092963], [0.530061, -0.011655, -0.097135, 0.020164, 0.039375, 0.395604, -0.021637, -0.189366], [-0.081078, -0.24585, 0.227021, -0.031776, 0.076619, 0.285145, -0.093882, 0.289006], [0.536914, -0.253551, -0.14305, 0.111728, 0.078182, 0.117459, -0.28176, 0.268451], [-0.27775, -0.691101, -0.121163, 0.116504, -0.104555, 0.155376, 0.009225, 0.063738], [-0.041713, -0.381012, 0.478657, -0.361593, 0.277259, 0.320054, -0.202771, 0.305322], [-0.035759, -0.217152, 0.066494, 0.297647, 0.031269, 0.437203, -0.553906, 0.123749], [-0.061665, 0.220548, 0.020649, -0.061629, -0.078868, -0.574246, 0.496063, 0.19906]], "network.10.bias": [-0.132505, 0.074518, 0.180784, -0.183173, -0.234276, -0.190631, 0.302483, 0.333692], "network.12.weight": [[0.360664, -0.276127, -0.033596, -0.170595, -0.170628, -0.073923, -0.03389, 0.215466]], "network.12.bias": [-0.002895]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.685852587223053, "train_acc": 0.575, "val_loss": 0.7201210260391235, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6988649368286133, "train_acc": 0.575, "val_loss": 0.7160889506340027, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.639825314283371, "train_acc": 0.575, "val_loss": 0.663780689239502, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6419029235839844, "train_acc": 0.575, "val_loss": 0.5480182766914368, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5828638672828674, "train_acc": 0.765, "val_loss": 0.46477049589157104, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4678088575601578, "train_acc": 0.775, "val_loss": 0.5197516083717346, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45172861218452454, "train_acc": 0.765, "val_loss": 0.40784987807273865, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.41426293551921844, "train_acc": 0.805, "val_loss": 0.42015522718429565, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4074726104736328, "train_acc": 0.82, "val_loss": 0.414944052696228, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3842426687479019, "train_acc": 0.805, "val_loss": 0.3906486928462982, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3572133928537369, "train_acc": 0.815, "val_loss": 0.42872288823127747, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3617853671312332, "train_acc": 0.815, "val_loss": 0.4187857508659363, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3430044800043106, "train_acc": 0.83, "val_loss": 0.464934378862381, "val_acc": 0.76}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7201210260391235, "final_val_loss": 0.663780689239502, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5480182766914368, "final_val_loss": 0.464934378862381, "initial_val_acc": 0.82, "final_val_acc": 0.76, "best_val_acc": 0.82, "best_epoch": 3}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
31
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.78, "improved_accuracy": 0.94, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2749, "learning_rate": 0.05070072171233657, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
[
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],
[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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"network.6.weight": [
[
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.682032, -3.069429, 0.346131, -0.315444, -0.663307, -1.672713, 2.383962, 2.988545]
std: [1.401635, 1.911188, 1.842323, 1.692822, 1.562651, 1.355531, 2.395404, 2.877430]
pca: [[0.106204, -0.328674, 0.700271, -0.049236, 0.065244, 0.130967, 0.580119, -0.173039, 0.000000, 0.000000], [-0.319205, 0.426989, 0.330541, 0.397266, -0.412135, -0.001427, 0.134093, 0.510758, 0.000000, 0.000000], [0.271521, 0.562665, -0.029220, 0.067640, 0.257132, 0.715027, 0.076498, -0.144997, 0.000000, 0.000000], [-0.276734, -0.411403, -0.216999, -0.353437, -0.129648, 0.586764, 0.070304, 0.464883, 0.000000, 0.000000], [-0.261221, -0.191664, -0.362114, 0.590971, 0.500470, -0.028839, 0.397893, 0.070956, 0.000000, 0.000000], [-0.200069, 0.310298, 0.179392, -0.493308, 0.616429, -0.267537, 0.054137, 0.365598, 0.000000, 0.000000], [0.503792, 0.151091, -0.390530, -0.198117, -0.250850, -0.233640, 0.599037, 0.235036, 0.000000, 0.000000], [0.611926, -0.260694, 0.191308, 0.280022, 0.222671, 0.017184, -0.338513, 0.527357, 0.000000, 0.000000]]
fourier: [[25.026930, 25.600349, 29.521065, 32.696887, 61.382915], [29.993737, 32.525360, 37.282745, 37.556907, 276.248569], [29.809924, 30.345348, 31.151771, 35.573452, 40.957199], [27.297574, 27.326100, 28.389962, 34.008945, 35.228176], [25.231135, 25.313944, 27.381898, 33.531392, 59.697617], [20.934046, 21.184725, 22.522600, 27.045492, 150.544143], [37.361341, 41.949751, 46.272088, 49.729486, 214.556603], [42.351810, 48.024993, 53.829326, 56.240491, 268.969017]]
### 2
mean: [2.972766, 0.100563, -2.099912, -2.466835, 2.747189, 3.175388, -0.911528, 0.817279]
std: [2.662544, 0.771158, 1.494446, 2.286763, 2.791737, 2.406938, 0.598426, 0.995140]
pca: [[0.492308, 0.107155, 0.160611, 0.647374, 0.341241, -0.371234, -0.026444, -0.215179, 0.000000, 0.000000], [-0.124304, -0.144070, 0.611044, 0.069044, -0.024515, 0.045870, 0.757376, 0.096579, 0.000000, 0.000000], [-0.270620, 0.177887, 0.471237, 0.312362, 0.185464, 0.480915, -0.478602, 0.284167, 0.000000, 0.000000], [-0.410205, 0.762546, 0.102126, 0.010738, -0.238794, -0.322901, 0.041498, -0.276950, 0.000000, 0.000000], [0.514175, 0.449969, 0.045586, -0.220748, -0.123549, -0.064284, 0.066880, 0.677107, 0.000000, 0.000000], [0.443749, 0.139021, 0.378397, -0.449005, -0.004513, 0.337174, -0.114399, -0.558727, 0.000000, 0.000000], [-0.089254, 0.331588, -0.349748, -0.097056, 0.726029, 0.318129, 0.347806, -0.032350, 0.000000, 0.000000], [0.177263, 0.151303, -0.317410, 0.467653, -0.499131, 0.552732, 0.237427, -0.123374, 0.000000, 0.000000]]
fourier: [[45.939197, 46.729580, 47.349043, 48.274568, 267.548962], [11.992421, 12.745447, 12.774059, 13.814564, 17.777969], [25.332343, 25.630424, 27.771902, 29.516050, 188.992092], [37.970118, 38.764359, 39.335611, 44.733801, 222.015158], [44.244654, 48.576526, 48.687349, 49.492709, 247.246975], [36.896255, 41.177794, 43.782954, 44.948204, 285.784958], [9.400911, 9.592160, 10.010775, 11.304717, 82.037525], [16.230639, 18.120352, 18.750935, 19.355258, 73.555153]]
### 4
mean: [3.552155, -1.715838, -0.533792, 2.804929, -2.331349, 2.271315, 0.760994, 1.608796]
std: [3.844713, 0.905855, 0.153214, 2.427569, 2.049618, 2.435307, 0.381914, 1.926136]
pca: [[0.646488, 0.054755, 0.102554, 0.103775, -0.279693, 0.621153, -0.284717, -0.112450, 0.000000, 0.000000], [-0.149374, 0.553329, -0.088906, 0.590864, 0.423538, 0.293118, 0.094806, 0.200498, 0.000000, 0.000000], [0.016510, 0.245095, 0.439606, -0.321760, 0.082439, -0.101309, -0.436807, 0.659555, 0.000000, 0.000000], [0.407610, -0.402423, -0.002648, 0.599871, 0.033748, -0.463135, -0.094538, 0.295781, 0.000000, 0.000000], [-0.343825, -0.063638, 0.696926, 0.341595, -0.460179, 0.084249, 0.234260, -0.040011, 0.000000, 0.000000], [0.409139, 0.031901, 0.510602, -0.169582, 0.547942, -0.099433, 0.405006, -0.260687, 0.000000, 0.000000], [-0.058121, -0.519829, -0.085774, -0.129982, 0.143999, 0.490559, 0.413374, 0.519505, 0.000000, 0.000000], [0.323006, 0.439913, -0.185850, -0.119980, -0.449124, -0.214151, 0.566060, 0.291910, 0.000000, 0.000000]]
fourier: [[62.683680, 66.990890, 67.919401, 68.274938, 319.693913], [13.690136, 14.743706, 16.655636, 17.724597, 154.425408], [2.259126, 2.339303, 2.552039, 3.149589, 48.041313], [38.098799, 42.787178, 43.582039, 44.120076, 252.443611], [35.369692, 35.519772, 35.930045, 37.255668, 209.821407], [39.233503, 42.477077, 42.931606, 42.966666, 204.418324], [6.286073, 6.803317, 7.133299, 7.863753, 68.489448], [32.359949, 32.720605, 33.358573, 34.816865, 144.791666]]
### 6
mean: [4.961487, -0.132005, -2.889637, -3.330538, 0.340944, 3.792616, -0.789995, 0.079199]
std: [5.730403, 1.415071, 2.658522, 3.131555, 1.318336, 4.558587, 0.713777, 1.079427]
pca: [[0.657916, 0.117963, 0.092868, 0.213533, -0.122049, -0.566301, -0.089937, 0.394118, 0.000000, 0.000000], [-0.162234, 0.340392, 0.508365, -0.177094, 0.476392, -0.397476, 0.382812, -0.191141, 0.000000, 0.000000], [-0.305131, -0.317020, 0.279222, 0.430231, -0.391378, -0.033789, 0.564844, 0.264504, 0.000000, 0.000000], [-0.359506, -0.214622, -0.026438, 0.202538, 0.580124, -0.060467, -0.328497, 0.578673, 0.000000, 0.000000], [-0.150256, 0.770691, -0.186898, 0.556767, -0.022523, 0.192355, 0.000571, 0.032085, 0.000000, 0.000000], [0.523380, -0.053339, 0.193921, 0.064490, 0.372907, 0.638777, 0.325193, 0.169167, 0.000000, 0.000000], [-0.081696, 0.223420, -0.488701, -0.512106, -0.051708, -0.040554, 0.445437, 0.489485, 0.000000, 0.000000], [-0.123692, 0.277358, 0.585586, -0.347159, -0.355238, 0.264266, -0.337998, 0.366155, 0.000000, 0.000000]]
fourier: [[94.918050, 97.295315, 99.901858, 100.626171, 446.533823], [23.474802, 23.703379, 23.855769, 24.134349, 24.770358], [43.341478, 45.936196, 46.595914, 47.120871, 260.067281], [51.574872, 53.528454, 54.756180, 55.188238, 299.748418], [21.577299, 22.887360, 23.238465, 23.479186, 30.684977], [75.916513, 77.079851, 79.515024, 79.756610, 341.335478], [11.819903, 12.095081, 12.114963, 12.554941, 71.099530], [17.944606, 17.959094, 18.395078, 18.461830, 18.777643]]
### 8
mean: [-4.702204]
std: [7.424987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.491239, 122.496025, 125.511097, 131.247974, 423.198366]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.172163,
0.566313,
-0.523035,
0.084961,
-0.040014
],
[
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-0.204957,
-0.565026,
-0.257616
],
[
0.743357,
-0.222812,
0.289341,
-0.264667,
0.061656
],
[
-0.731327,
0.001263,
-0.163887,
0.245333,
0.155997
],
[
-0.664013,
-0.080355,
0.261679,
0.027078,
-0.382027
],
[
-0.120747,
-0.292662,
-0.291542,
-0.354221,
0.342997
],
[
0.821771,
0.037058,
0.497919,
0.288855,
0.202186
],
[
0.892062,
0.692609,
0.195902,
0.399262,
-0.160682
]
],
"network.0.bias": [
0.395555,
-0.181171,
-0.285803,
0.216192,
0.175927,
-0.043578,
-0.615109,
-0.450905
],
"network.2.weight": [
[
0.528395,
0.426851,
0.390221,
-0.190556,
0.352266,
-0.335345,
0.228979,
0.520441
],
[
-0.227372,
0.043177,
-0.411603,
-0.061839,
0.395008,
0.298391,
-0.061022,
0.02965
],
[
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-0.178094,
-0.287021,
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0.214518,
-0.227722,
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-0.05585
],
[
-0.03444,
-0.442875,
-0.058397,
0.017961,
-0.243261,
0.07531,
-0.658327,
-0.277436
],
[
0.902142,
0.159772,
0.39492,
0.030902,
-0.102349,
-0.346115,
0.3587,
0.376
],
[
0.606154,
0.09487,
0.070307,
0.104794,
0.050497,
-0.297852,
0.43064,
0.386442
],
[
-0.222595,
0.295151,
0.245828,
0.078644,
-0.636534,
-0.325848,
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0.044553
],
[
0.595843,
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0.251505,
-0.270618,
0.111236,
-0.342001,
0.252344,
-0.088755
]
],
"network.2.bias": [
-0.001827,
0.646787,
-0.472949,
0.132232,
-0.449632,
0.252327,
0.021734,
-0.20596
],
"network.4.weight": [
[
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0.480462,
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0.247297,
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],
[
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0.032129,
0.404338,
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-0.451397,
-0.302635,
0.02924
],
[
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-0.151772,
0.038765,
0.184353,
0.011803,
-0.308862,
0.191653
],
[
0.376137,
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0.220922,
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0.104452,
0.487504,
0.0876,
-0.094834
],
[
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0.02954,
0.247731,
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0.429029,
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],
[
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0.328118,
0.495339,
0.007048,
0.354085
],
[
-0.114318,
0.319425,
-0.272287,
-0.145225,
-0.209157,
0.312087,
0.128172,
-0.148521
],
[
0.358546,
-0.184059,
-0.122753,
0.202156,
0.391946,
-0.177238,
-0.179555,
0.284343
]
],
"network.4.bias": [
-0.504152,
-0.274701,
-0.474324,
0.028827,
0.005142,
-0.330621,
0.693135,
-0.146617
],
"network.6.weight": [
[
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0.598903,
0.048109,
0.352651,
0.304293,
0.576789,
-0.204622,
0.520601
],
[
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-0.22777,
0.035197,
-0.154396,
-0.32914,
0.559173,
0.051963
],
[
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0.209711,
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0.19124,
-0.245038,
0.156144,
-0.150589
],
[
-0.160126,
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0.101006,
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0.297334,
-0.340246,
0.022916,
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],
[
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-0.138017,
0.04264,
0.20672,
-0.277787,
0.034022,
0.739034,
-0.206104
],
[
0.597466,
-0.064229,
-0.167594,
0.198428,
-0.146071,
0.381292,
-0.260218,
0.429215
],
[
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0.278929,
-0.015306,
-0.102133,
-0.176594
],
[
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0.057002,
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-0.238999,
0.553954,
0.269404
]
],
"network.6.bias": [
-0.381051,
0.598693,
-0.315014,
-0.232016,
0.645245,
-0.305586,
-0.164587,
0.48698
],
"network.8.weight": [
[
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0.499209,
0.051099,
0.094496,
0.617885,
-0.674792,
0.100216,
0.457885
]
],
"network.8.bias": [
0.290139
]
}
## Activation Signature
### 0
mean: [0.682032, -3.069429, 0.346131, -0.315444, -0.663307, -1.672713, 2.383962, 2.988545]
std: [1.401635, 1.911188, 1.842323, 1.692822, 1.562651, 1.355531, 2.395404, 2.877430]
pca: [[0.106204, -0.328674, 0.700271, -0.049236, 0.065244, 0.130967, 0.580119, -0.173039, 0.000000, 0.000000], [-0.319205, 0.426989, 0.330541, 0.397266, -0.412135, -0.001427, 0.134093, 0.510758, 0.000000, 0.000000], [0.271521, 0.562665, -0.029220, 0.067640, 0.257132, 0.715027, 0.076498, -0.144997, 0.000000, 0.000000], [-0.276734, -0.411403, -0.216999, -0.353437, -0.129648, 0.586764, 0.070304, 0.464883, 0.000000, 0.000000], [-0.261221, -0.191664, -0.362114, 0.590971, 0.500470, -0.028839, 0.397893, 0.070956, 0.000000, 0.000000], [-0.200069, 0.310298, 0.179392, -0.493308, 0.616429, -0.267537, 0.054137, 0.365598, 0.000000, 0.000000], [0.503792, 0.151091, -0.390530, -0.198117, -0.250850, -0.233640, 0.599037, 0.235036, 0.000000, 0.000000], [0.611926, -0.260694, 0.191308, 0.280022, 0.222671, 0.017184, -0.338513, 0.527357, 0.000000, 0.000000]]
fourier: [[25.026930, 25.600349, 29.521065, 32.696887, 61.382915], [29.993737, 32.525360, 37.282745, 37.556907, 276.248569], [29.809924, 30.345348, 31.151771, 35.573452, 40.957199], [27.297574, 27.326100, 28.389962, 34.008945, 35.228176], [25.231135, 25.313944, 27.381898, 33.531392, 59.697617], [20.934046, 21.184725, 22.522600, 27.045492, 150.544143], [37.361341, 41.949751, 46.272088, 49.729486, 214.556603], [42.351810, 48.024993, 53.829326, 56.240491, 268.969017]]
### 2
mean: [2.972766, 0.100563, -2.099912, -2.466835, 2.747189, 3.175388, -0.911528, 0.817279]
std: [2.662544, 0.771158, 1.494446, 2.286763, 2.791737, 2.406938, 0.598426, 0.995140]
pca: [[0.492308, 0.107155, 0.160611, 0.647374, 0.341241, -0.371234, -0.026444, -0.215179, 0.000000, 0.000000], [-0.124304, -0.144070, 0.611044, 0.069044, -0.024515, 0.045870, 0.757376, 0.096579, 0.000000, 0.000000], [-0.270620, 0.177887, 0.471237, 0.312362, 0.185464, 0.480915, -0.478602, 0.284167, 0.000000, 0.000000], [-0.410205, 0.762546, 0.102126, 0.010738, -0.238794, -0.322901, 0.041498, -0.276950, 0.000000, 0.000000], [0.514175, 0.449969, 0.045586, -0.220748, -0.123549, -0.064284, 0.066880, 0.677107, 0.000000, 0.000000], [0.443749, 0.139021, 0.378397, -0.449005, -0.004513, 0.337174, -0.114399, -0.558727, 0.000000, 0.000000], [-0.089254, 0.331588, -0.349748, -0.097056, 0.726029, 0.318129, 0.347806, -0.032350, 0.000000, 0.000000], [0.177263, 0.151303, -0.317410, 0.467653, -0.499131, 0.552732, 0.237427, -0.123374, 0.000000, 0.000000]]
fourier: [[45.939197, 46.729580, 47.349043, 48.274568, 267.548962], [11.992421, 12.745447, 12.774059, 13.814564, 17.777969], [25.332343, 25.630424, 27.771902, 29.516050, 188.992092], [37.970118, 38.764359, 39.335611, 44.733801, 222.015158], [44.244654, 48.576526, 48.687349, 49.492709, 247.246975], [36.896255, 41.177794, 43.782954, 44.948204, 285.784958], [9.400911, 9.592160, 10.010775, 11.304717, 82.037525], [16.230639, 18.120352, 18.750935, 19.355258, 73.555153]]
### 4
mean: [3.552155, -1.715838, -0.533792, 2.804929, -2.331349, 2.271315, 0.760994, 1.608796]
std: [3.844713, 0.905855, 0.153214, 2.427569, 2.049618, 2.435307, 0.381914, 1.926136]
pca: [[0.646488, 0.054755, 0.102554, 0.103775, -0.279693, 0.621153, -0.284717, -0.112450, 0.000000, 0.000000], [-0.149374, 0.553329, -0.088906, 0.590864, 0.423538, 0.293118, 0.094806, 0.200498, 0.000000, 0.000000], [0.016510, 0.245095, 0.439606, -0.321760, 0.082439, -0.101309, -0.436807, 0.659555, 0.000000, 0.000000], [0.407610, -0.402423, -0.002648, 0.599871, 0.033748, -0.463135, -0.094538, 0.295781, 0.000000, 0.000000], [-0.343825, -0.063638, 0.696926, 0.341595, -0.460179, 0.084249, 0.234260, -0.040011, 0.000000, 0.000000], [0.409139, 0.031901, 0.510602, -0.169582, 0.547942, -0.099433, 0.405006, -0.260687, 0.000000, 0.000000], [-0.058121, -0.519829, -0.085774, -0.129982, 0.143999, 0.490559, 0.413374, 0.519505, 0.000000, 0.000000], [0.323006, 0.439913, -0.185850, -0.119980, -0.449124, -0.214151, 0.566060, 0.291910, 0.000000, 0.000000]]
fourier: [[62.683680, 66.990890, 67.919401, 68.274938, 319.693913], [13.690136, 14.743706, 16.655636, 17.724597, 154.425408], [2.259126, 2.339303, 2.552039, 3.149589, 48.041313], [38.098799, 42.787178, 43.582039, 44.120076, 252.443611], [35.369692, 35.519772, 35.930045, 37.255668, 209.821407], [39.233503, 42.477077, 42.931606, 42.966666, 204.418324], [6.286073, 6.803317, 7.133299, 7.863753, 68.489448], [32.359949, 32.720605, 33.358573, 34.816865, 144.791666]]
### 6
mean: [4.961487, -0.132005, -2.889637, -3.330538, 0.340944, 3.792616, -0.789995, 0.079199]
std: [5.730403, 1.415071, 2.658522, 3.131555, 1.318336, 4.558587, 0.713777, 1.079427]
pca: [[0.657916, 0.117963, 0.092868, 0.213533, -0.122049, -0.566301, -0.089937, 0.394118, 0.000000, 0.000000], [-0.162234, 0.340392, 0.508365, -0.177094, 0.476392, -0.397476, 0.382812, -0.191141, 0.000000, 0.000000], [-0.305131, -0.317020, 0.279222, 0.430231, -0.391378, -0.033789, 0.564844, 0.264504, 0.000000, 0.000000], [-0.359506, -0.214622, -0.026438, 0.202538, 0.580124, -0.060467, -0.328497, 0.578673, 0.000000, 0.000000], [-0.150256, 0.770691, -0.186898, 0.556767, -0.022523, 0.192355, 0.000571, 0.032085, 0.000000, 0.000000], [0.523380, -0.053339, 0.193921, 0.064490, 0.372907, 0.638777, 0.325193, 0.169167, 0.000000, 0.000000], [-0.081696, 0.223420, -0.488701, -0.512106, -0.051708, -0.040554, 0.445437, 0.489485, 0.000000, 0.000000], [-0.123692, 0.277358, 0.585586, -0.347159, -0.355238, 0.264266, -0.337998, 0.366155, 0.000000, 0.000000]]
fourier: [[94.918050, 97.295315, 99.901858, 100.626171, 446.533823], [23.474802, 23.703379, 23.855769, 24.134349, 24.770358], [43.341478, 45.936196, 46.595914, 47.120871, 260.067281], [51.574872, 53.528454, 54.756180, 55.188238, 299.748418], [21.577299, 22.887360, 23.238465, 23.479186, 30.684977], [75.916513, 77.079851, 79.515024, 79.756610, 341.335478], [11.819903, 12.095081, 12.114963, 12.554941, 71.099530], [17.944606, 17.959094, 18.395078, 18.461830, 18.777643]]
### 8
mean: [-4.702204]
std: [7.424987]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.491239, 122.496025, 125.511097, 131.247974, 423.198366]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.172163, 0.566313, -0.523035, 0.084961, -0.040014], [-0.185537, -0.38406, -0.204957, -0.565026, -0.257616], [0.743357, -0.222812, 0.289341, -0.264667, 0.061656], [-0.731327, 0.001263, -0.163887, 0.245333, 0.155997], [-0.664013, -0.080355, 0.261679, 0.027078, -0.382027], [-0.120747, -0.292662, -0.291542, -0.354221, 0.342997], [0.821771, 0.037058, 0.497919, 0.288855, 0.202186], [0.892062, 0.692609, 0.195902, 0.399262, -0.160682]], "network.0.bias": [0.395555, -0.181171, -0.285803, 0.216192, 0.175927, -0.043578, -0.615109, -0.450905], "network.2.weight": [[0.528395, 0.426851, 0.390221, -0.190556, 0.352266, -0.335345, 0.228979, 0.520441], [-0.227372, 0.043177, -0.411603, -0.061839, 0.395008, 0.298391, -0.061022, 0.02965], [-0.280717, -0.178094, -0.287021, -0.081872, 0.214518, -0.227722, -0.389108, -0.05585], [-0.03444, -0.442875, -0.058397, 0.017961, -0.243261, 0.07531, -0.658327, -0.277436], [0.902142, 0.159772, 0.39492, 0.030902, -0.102349, -0.346115, 0.3587, 0.376], [0.606154, 0.09487, 0.070307, 0.104794, 0.050497, -0.297852, 0.43064, 0.386442], [-0.222595, 0.295151, 0.245828, 0.078644, -0.636534, -0.325848, -0.378409, 0.044553], [0.595843, -0.092886, 0.251505, -0.270618, 0.111236, -0.342001, 0.252344, -0.088755]], "network.2.bias": [-0.001827, 0.646787, -0.472949, 0.132232, -0.449632, 0.252327, 0.021734, -0.20596], "network.4.weight": [[0.441763, -0.368025, -0.022497, 0.252869, 0.480462, 0.411606, 0.247297, 0.293419], [0.149929, -0.427666, 0.032129, 0.404338, -0.116598, -0.451397, -0.302635, 0.02924], [-0.24383, -0.110241, -0.151772, 0.038765, 0.184353, 0.011803, -0.308862, 0.191653], [0.376137, -0.255904, 0.220922, -0.389585, 0.104452, 0.487504, 0.0876, -0.094834], [-0.451298, -0.228647, 0.02954, 0.247731, -0.129528, -0.07625, 0.429029, -0.374505], [-0.022564, -0.274947, -0.060387, -0.220072, 0.328118, 0.495339, 0.007048, 0.354085], [-0.114318, 0.319425, -0.272287, -0.145225, -0.209157, 0.312087, 0.128172, -0.148521], [0.358546, -0.184059, -0.122753, 0.202156, 0.391946, -0.177238, -0.179555, 0.284343]], "network.4.bias": [-0.504152, -0.274701, -0.474324, 0.028827, 0.005142, -0.330621, 0.693135, -0.146617], "network.6.weight": [[0.643989, 0.598903, 0.048109, 0.352651, 0.304293, 0.576789, -0.204622, 0.520601], [-0.162148, 0.142342, -0.22777, 0.035197, -0.154396, -0.32914, 0.559173, 0.051963], [-0.161925, -0.219256, 0.209711, -0.462408, 0.19124, -0.245038, 0.156144, -0.150589], [-0.160126, -0.053166, 0.101006, -0.386209, 0.297334, -0.340246, 0.022916, -0.406505], [-0.329532, -0.138017, 0.04264, 0.20672, -0.277787, 0.034022, 0.739034, -0.206104], [0.597466, -0.064229, -0.167594, 0.198428, -0.146071, 0.381292, -0.260218, 0.429215], [-0.272665, -0.220801, -0.030951, 0.271713, 0.278929, -0.015306, -0.102133, -0.176594], [-0.285396, -0.008908, 0.057002, 0.107926, -0.363499, -0.238999, 0.553954, 0.269404]], "network.6.bias": [-0.381051, 0.598693, -0.315014, -0.232016, 0.645245, -0.305586, -0.164587, 0.48698], "network.8.weight": [[-0.657607, 0.499209, 0.051099, 0.094496, 0.617885, -0.674792, 0.100216, 0.457885]], "network.8.bias": [0.290139]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6576640605926514, "train_acc": 0.515, "val_loss": 0.667456865310669, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5822957456111908, "train_acc": 0.585, "val_loss": 0.5211315751075745, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4642597883939743, "train_acc": 0.83, "val_loss": 0.4400142729282379, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4075716733932495, "train_acc": 0.795, "val_loss": 0.34919989109039307, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.35497160255908966, "train_acc": 0.86, "val_loss": 0.3120073676109314, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.25141550600528717, "train_acc": 0.895, "val_loss": 0.2763283848762512, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.26232515275478363, "train_acc": 0.9, "val_loss": 0.22285844385623932, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19103053212165833, "train_acc": 0.935, "val_loss": 0.29737406969070435, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.19601258635520935, "train_acc": 0.93, "val_loss": 0.2131790965795517, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.20842956006526947, "train_acc": 0.945, "val_loss": 0.2195519655942917, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1923433095216751, "train_acc": 0.945, "val_loss": 0.22732695937156677, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1891068071126938, "train_acc": 0.935, "val_loss": 0.17725475132465363, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.667456865310669, "final_val_loss": 0.5211315751075745, "initial_val_acc": 0.5, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.4400142729282379, "final_val_loss": 0.17725475132465363, "initial_val_acc": 0.8, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.15999999999999992, "first_improvement_epoch": 1}}
|
32
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9304, "learning_rate": 0.04983236602447656, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [1.147474, 1.658903, 1.898416, 1.393761, 0.140014]
std: [2.219536, 1.724637, 1.893059, 2.240943, 1.079156]
pca: [[0.588380, -0.081374, 0.512158, -0.502727, -0.363520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160774, 0.898506, 0.394827, -0.006873, 0.104419, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.533847, 0.007754, -0.023980, -0.011986, 0.845120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.566543, 0.383724, -0.538533, 0.321396, -0.372118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.148317, -0.196879, 0.539641, 0.802358, -0.065191, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.637278, 36.673198, 37.620556, 39.358198, 103.272634], [25.361415, 26.368463, 29.450597, 32.126329, 149.301306], [27.724337, 31.008447, 35.124139, 35.614289, 170.857445], [35.830675, 35.881800, 37.142426, 37.316398, 125.438491], [14.388009, 15.164036, 19.164987, 20.714385, 21.361537]]
### 2
mean: [1.971404, 3.021017, -0.170730, 0.690323, -1.382523]
std: [2.611206, 3.375810, 0.926115, 0.921637, 1.039818]
pca: [[0.579317, -0.286130, 0.337302, 0.066893, 0.681377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.751734, 0.225129, 0.030460, 0.214542, -0.580738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205558, 0.035707, -0.022847, 0.972002, 0.105648, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120442, 0.795381, 0.568884, -0.058769, 0.160560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206223, -0.483260, 0.749099, 0.035432, -0.401905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.449570, 40.790877, 43.553516, 49.754475, 177.426343], [50.571103, 52.182223, 53.411014, 66.174521, 271.891560], [14.065104, 14.708317, 14.761505, 15.365729, 17.684943], [14.153652, 14.650508, 16.068853, 16.498300, 62.129042], [17.306478, 19.353161, 19.622697, 19.978831, 124.427058]]
### 4
mean: [3.484073, 0.722824, -0.143380, 0.642063, 1.786542]
std: [4.628837, 0.637888, 1.031454, 0.815056, 2.407584]
pca: [[0.859309, 0.237015, -0.393376, -0.220264, -0.046382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083699, 0.752457, 0.491612, -0.417082, 0.105658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188372, 0.297469, -0.456172, 0.235066, 0.782738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139194, 0.537268, -0.238487, 0.576812, -0.549891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.446904, -0.022086, 0.581897, 0.624147, 0.267630, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.301027, 71.411375, 72.542952, 90.397368, 313.566588], [9.938584, 10.591545, 10.798577, 11.120537, 65.054122], [14.309550, 15.328468, 16.037187, 18.746092, 19.479175], [12.271966, 12.674788, 13.682313, 15.688043, 57.785684], [35.565237, 37.359987, 39.212924, 47.374206, 160.788796]]
### 6
mean: [1.837410, 2.576290, 0.420651, -0.317602, -0.615599]
std: [2.901610, 4.020220, 0.328809, 0.726436, 0.429331]
pca: [[0.575969, 0.513559, 0.521453, -0.134609, -0.338354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.799114, -0.288236, -0.397769, 0.285756, 0.196113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055909, 0.592713, 0.038459, 0.295706, 0.746086, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141525, 0.426219, -0.473674, 0.534682, -0.536708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080754, -0.346706, 0.586532, 0.725876, -0.048548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.252058, 45.677132, 46.685640, 58.099946, 165.366939], [60.527628, 63.829955, 64.124694, 79.699825, 231.866087], [4.851598, 5.034505, 5.331549, 6.087135, 37.858555], [10.068050, 11.770682, 13.622200, 14.086314, 28.584148], [6.811328, 6.890725, 8.236796, 8.323539, 55.403943]]
### 8
mean: [-2.262037, 2.723989, -1.055357, -0.850182, -0.043723]
std: [3.803451, 3.987338, 1.945586, 0.811891, 0.497741]
pca: [[-0.642550, 0.363347, -0.552515, 0.146288, 0.358379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673641, 0.348317, -0.203258, -0.147526, 0.601503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328543, 0.363011, 0.609614, -0.583034, 0.220736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136437, -0.501899, 0.363846, 0.396030, 0.663520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.082352, 0.602474, 0.386523, 0.678283, -0.144138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.691806, 59.052212, 65.273328, 76.365071, 203.583304], [61.617907, 62.317039, 67.636692, 80.202332, 245.159016], [29.654698, 30.647906, 34.255207, 39.139030, 94.982159], [12.617325, 12.792021, 13.158084, 16.316787, 76.516352], [7.049117, 7.633394, 8.039833, 8.259159, 9.651357]]
### 10
mean: [-1.527649]
std: [2.842902]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.697804, 44.496397, 49.304223, 57.483817, 137.488413]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.421085,
0.350079,
0.07657,
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],
[
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0.241554,
0.45206,
0.411208
],
[
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0.264852,
0.164238,
0.056524,
-0.465768
],
[
0.894712,
0.503418,
-0.136117,
0.100129,
-0.056543
],
[
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]
],
"network.0.bias": [
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## Activation Signature
### 0
mean: [1.147474, 1.658903, 1.898416, 1.393761, 0.140014]
std: [2.219536, 1.724637, 1.893059, 2.240943, 1.079156]
pca: [[0.588380, -0.081374, 0.512158, -0.502727, -0.363520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160774, 0.898506, 0.394827, -0.006873, 0.104419, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.533847, 0.007754, -0.023980, -0.011986, 0.845120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.566543, 0.383724, -0.538533, 0.321396, -0.372118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.148317, -0.196879, 0.539641, 0.802358, -0.065191, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.637278, 36.673198, 37.620556, 39.358198, 103.272634], [25.361415, 26.368463, 29.450597, 32.126329, 149.301306], [27.724337, 31.008447, 35.124139, 35.614289, 170.857445], [35.830675, 35.881800, 37.142426, 37.316398, 125.438491], [14.388009, 15.164036, 19.164987, 20.714385, 21.361537]]
### 2
mean: [1.971404, 3.021017, -0.170730, 0.690323, -1.382523]
std: [2.611206, 3.375810, 0.926115, 0.921637, 1.039818]
pca: [[0.579317, -0.286130, 0.337302, 0.066893, 0.681377, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.751734, 0.225129, 0.030460, 0.214542, -0.580738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205558, 0.035707, -0.022847, 0.972002, 0.105648, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120442, 0.795381, 0.568884, -0.058769, 0.160560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206223, -0.483260, 0.749099, 0.035432, -0.401905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.449570, 40.790877, 43.553516, 49.754475, 177.426343], [50.571103, 52.182223, 53.411014, 66.174521, 271.891560], [14.065104, 14.708317, 14.761505, 15.365729, 17.684943], [14.153652, 14.650508, 16.068853, 16.498300, 62.129042], [17.306478, 19.353161, 19.622697, 19.978831, 124.427058]]
### 4
mean: [3.484073, 0.722824, -0.143380, 0.642063, 1.786542]
std: [4.628837, 0.637888, 1.031454, 0.815056, 2.407584]
pca: [[0.859309, 0.237015, -0.393376, -0.220264, -0.046382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083699, 0.752457, 0.491612, -0.417082, 0.105658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.188372, 0.297469, -0.456172, 0.235066, 0.782738, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139194, 0.537268, -0.238487, 0.576812, -0.549891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.446904, -0.022086, 0.581897, 0.624147, 0.267630, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.301027, 71.411375, 72.542952, 90.397368, 313.566588], [9.938584, 10.591545, 10.798577, 11.120537, 65.054122], [14.309550, 15.328468, 16.037187, 18.746092, 19.479175], [12.271966, 12.674788, 13.682313, 15.688043, 57.785684], [35.565237, 37.359987, 39.212924, 47.374206, 160.788796]]
### 6
mean: [1.837410, 2.576290, 0.420651, -0.317602, -0.615599]
std: [2.901610, 4.020220, 0.328809, 0.726436, 0.429331]
pca: [[0.575969, 0.513559, 0.521453, -0.134609, -0.338354, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.799114, -0.288236, -0.397769, 0.285756, 0.196113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055909, 0.592713, 0.038459, 0.295706, 0.746086, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.141525, 0.426219, -0.473674, 0.534682, -0.536708, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080754, -0.346706, 0.586532, 0.725876, -0.048548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.252058, 45.677132, 46.685640, 58.099946, 165.366939], [60.527628, 63.829955, 64.124694, 79.699825, 231.866087], [4.851598, 5.034505, 5.331549, 6.087135, 37.858555], [10.068050, 11.770682, 13.622200, 14.086314, 28.584148], [6.811328, 6.890725, 8.236796, 8.323539, 55.403943]]
### 8
mean: [-2.262037, 2.723989, -1.055357, -0.850182, -0.043723]
std: [3.803451, 3.987338, 1.945586, 0.811891, 0.497741]
pca: [[-0.642550, 0.363347, -0.552515, 0.146288, 0.358379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673641, 0.348317, -0.203258, -0.147526, 0.601503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328543, 0.363011, 0.609614, -0.583034, 0.220736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136437, -0.501899, 0.363846, 0.396030, 0.663520, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.082352, 0.602474, 0.386523, 0.678283, -0.144138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.691806, 59.052212, 65.273328, 76.365071, 203.583304], [61.617907, 62.317039, 67.636692, 80.202332, 245.159016], [29.654698, 30.647906, 34.255207, 39.139030, 94.982159], [12.617325, 12.792021, 13.158084, 16.316787, 76.516352], [7.049117, 7.633394, 8.039833, 8.259159, 9.651357]]
### 10
mean: [-1.527649]
std: [2.842902]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.697804, 44.496397, 49.304223, 57.483817, 137.488413]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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[12.617324599469326, 12.792020889421542, 13.158083826183633, 16.316786581086653, 76.51635199785233]}, "4": {"mean": -0.0437229722738266, "std": 0.49774107336997986, "pca": [0.08235242962837219, 0.6024737358093262, 0.38652312755584717, 0.6782828569412231, -0.14413794875144958, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [7.049117498185264, 7.633394291098471, 8.039833239820254, 8.25915901638874, 9.651357202366032]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -1.52764892578125, "std": 2.842902421951294, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [43.697803914117316, 44.49639674989218, 49.304222663878654, 57.48381718592483, 137.48841312527657]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.539503, 0.421085, 0.350079, 0.07657, -0.84806], [-0.511547, 0.276136, 0.241554, 0.45206, 0.411208], [0.735094, 0.264852, 0.164238, 0.056524, -0.465768], [0.894712, 0.503418, -0.136117, 0.100129, -0.056543], [0.205413, -0.224175, 0.114507, 0.315501, -0.568883]], "network.0.bias": [-0.140752, -0.18884, 0.611173, -0.49765, 0.078741], "network.2.weight": [[0.501975, -0.354197, 0.609455, 0.259142, 0.091388], [0.756545, -0.161014, 0.628091, 0.42249, 0.470742], [-0.30393, 0.141004, 0.124399, -0.282331, -0.159003], [-0.134097, 0.520489, -0.018608, -0.029798, -0.047368], [-0.14215, -0.156603, -0.081167, -0.244662, -0.591463]], "network.2.bias": [0.272124, 0.20206, 0.266938, 0.094719, -0.168814], "network.4.weight": [[0.912987, 0.623418, 0.156937, -0.718274, 0.491613], [0.017808, -0.063646, -0.182549, 0.72852, -0.369638], [-0.072043, -0.177785, 0.389496, 0.409104, -0.314549], [-0.048155, -0.096735, 0.342404, 0.545929, -0.651897], [0.253789, 0.460898, -0.317284, -0.491252, -0.122135]], "network.4.bias": [0.273207, 0.366727, 0.174119, 0.54755, 0.253391], "network.6.weight": [[0.389899, 0.390506, -0.827754, -0.342235, 0.400042], [0.463799, -0.346923, -0.28538, -0.615016, 0.629368], [-0.055645, 0.37022, -0.000223, 0.025839, 0.050915], [-0.218225, -0.01491, 0.203516, 0.37549, 0.215001], [-0.262057, 0.06414, 0.002072, -0.214657, 0.295584]], "network.6.bias": [-0.17094, 0.405157, 0.278609, -0.193813, -0.120042], "network.8.weight": [[-0.850834, -0.379527, 0.251233, -0.023766, 0.141856], [0.522053, 0.649313, -0.467552, -0.229042, -0.19896], [-0.296771, -0.303031, 0.018598, -0.119559, 0.149977], [0.039517, -0.223495, 0.35441, 0.097811, 0.358811], [0.069411, 0.05361, -0.402922, -0.157471, 0.44004]], "network.8.bias": [0.446606, -0.022405, 0.408493, -0.364624, -0.144417], "network.10.weight": [[0.138023, -0.705317, 0.177464, 0.309524, -0.139074]], "network.10.bias": [0.442739]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7209954261779785, "train_acc": 0.435, "val_loss": 0.6855760216712952, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782160103321075, "train_acc": 0.56, "val_loss": 0.6761104464530945, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6585800647735596, "train_acc": 0.565, "val_loss": 0.6128473877906799, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.650915801525116, "train_acc": 0.575, "val_loss": 0.5519759058952332, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5796214938163757, "train_acc": 0.72, "val_loss": 0.47596386075019836, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5127775818109512, "train_acc": 0.74, "val_loss": 0.4438857138156891, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5049643218517303, "train_acc": 0.755, "val_loss": 0.4121854305267334, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4770270586013794, "train_acc": 0.765, "val_loss": 0.4138002097606659, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.46269357204437256, "train_acc": 0.765, "val_loss": 0.41995304822921753, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4597538262605667, "train_acc": 0.77, "val_loss": 0.41940003633499146, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6855760216712952, "final_val_loss": 0.6128473877906799, "initial_val_acc": 0.58, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5519759058952332, "final_val_loss": 0.41940003633499146, "initial_val_acc": 0.78, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
33
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3215, "learning_rate": 0.02854826421987649, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.6.weight": [
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"network.10.weight": [
[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.317166, -0.286546, 1.314379, 0.989371, 0.832773, -0.136807, 1.539909, 0.850021]
std: [1.360763, 1.192183, 1.525099, 1.421830, 1.120558, 2.000466, 1.321791, 1.458470]
pca: [[0.036157, 0.533134, -0.171653, -0.156655, 0.620964, -0.449114, 0.015767, -0.270014, 0.000000, 0.000000], [-0.026227, 0.232339, 0.660883, 0.008284, 0.259534, 0.011993, -0.306067, 0.589335, 0.000000, 0.000000], [0.461518, 0.351029, -0.154063, 0.105791, 0.037989, 0.633556, -0.431226, -0.200149, 0.000000, 0.000000], [0.352190, 0.316413, 0.409378, 0.377225, -0.173276, -0.001958, 0.639273, -0.165100, 0.000000, 0.000000], [-0.155913, 0.118717, -0.495413, 0.661789, 0.173956, 0.043205, 0.125130, 0.480014, 0.000000, 0.000000], [0.686399, -0.284964, -0.074412, 0.182670, -0.100897, -0.544365, -0.293499, 0.126854, 0.000000, 0.000000], [0.178764, 0.422934, -0.295938, -0.516756, -0.420961, -0.046156, 0.192960, 0.466885, 0.000000, 0.000000], [-0.365458, 0.405310, 0.062383, 0.289015, -0.545829, -0.310525, -0.415230, -0.219025, 0.000000, 0.000000]]
fourier: [[20.514102, 23.329780, 23.742377, 24.419768, 118.544962], [15.726107, 21.563473, 21.959759, 25.789128, 26.676981], [24.635554, 25.114432, 25.484005, 26.237957, 118.294103], [22.833802, 23.385647, 24.030751, 24.210181, 89.043377], [18.009500, 18.287129, 18.759715, 22.685752, 74.949547], [27.695697, 28.508634, 28.961828, 39.339916, 40.501606], [21.331310, 22.307489, 24.556831, 24.684774, 138.591803], [19.771676, 21.427604, 22.985904, 23.074938, 76.501867]]
### 2
mean: [1.044284, 0.167519, -0.551587, 1.842831, 1.532539, -1.608924, -0.567720, 1.393524]
std: [1.401117, 1.020643, 0.294133, 1.506086, 1.835210, 1.700703, 0.839381, 2.075344]
pca: [[0.345156, 0.130905, 0.684942, 0.416825, 0.243396, -0.138282, -0.074320, -0.370074, 0.000000, 0.000000], [-0.160481, 0.539000, -0.160235, -0.093844, 0.657884, 0.454057, 0.011763, -0.100620, 0.000000, 0.000000], [0.030554, -0.074192, 0.204338, 0.239848, -0.237070, 0.576816, 0.697139, 0.139138, 0.000000, 0.000000], [0.363925, 0.483881, -0.085252, -0.180673, 0.032545, -0.515621, 0.508237, 0.261303, 0.000000, 0.000000], [0.495993, -0.082206, -0.009716, 0.175103, 0.168701, 0.228134, -0.361179, 0.711001, 0.000000, 0.000000], [-0.426981, -0.358520, 0.437154, -0.228447, 0.467722, -0.217566, 0.194945, 0.376505, 0.000000, 0.000000], [-0.149651, -0.198392, -0.464573, 0.728170, 0.295820, -0.263078, 0.188239, 0.005623, 0.000000, 0.000000], [0.520597, -0.527298, -0.221655, -0.337934, 0.340517, 0.086823, 0.214810, -0.343470, 0.000000, 0.000000]]
fourier: [[23.158001, 24.929501, 25.675871, 25.707823, 93.985609], [15.076723, 15.925168, 17.300223, 18.515073, 18.523609], [4.324865, 5.377051, 5.678314, 5.869599, 49.642865], [24.048148, 24.563852, 25.604278, 28.526291, 165.854836], [29.252619, 29.277717, 29.407203, 31.160180, 137.928536], [26.489272, 28.693455, 28.916232, 30.198134, 144.803164], [12.707989, 12.740907, 14.556987, 15.104527, 51.094805], [33.885203, 34.773454, 36.151090, 37.687492, 125.417123]]
### 4
mean: [1.255818, 2.739663, 2.452979, 1.264846, 1.047270, -2.208185, 2.023668, -0.110648]
std: [1.807642, 3.265244, 2.923172, 1.040063, 1.511391, 1.972685, 2.110190, 0.811462]
pca: [[0.308107, -0.229407, 0.269385, -0.067194, -0.172635, 0.117122, -0.480281, 0.707933, 0.000000, 0.000000], [0.558451, -0.320979, -0.088267, 0.096846, -0.462612, -0.038282, -0.211954, -0.554558, 0.000000, 0.000000], [0.501761, -0.091623, 0.027797, -0.007195, -0.035820, 0.097882, 0.810850, 0.265847, 0.000000, 0.000000], [0.146277, 0.658660, 0.257950, 0.295210, -0.326774, -0.526211, -0.001437, 0.086037, 0.000000, 0.000000], [0.257325, -0.106024, 0.468269, -0.461862, 0.503869, -0.437226, -0.048716, -0.206218, 0.000000, 0.000000], [-0.328317, -0.502973, 0.531060, 0.556419, -0.039581, -0.131885, 0.162607, -0.046883, 0.000000, 0.000000], [0.359393, 0.265519, 0.121821, 0.516675, 0.535028, 0.428996, -0.177883, -0.128873, 0.000000, 0.000000], [-0.129884, 0.259605, 0.579817, -0.330204, -0.326215, 0.552938, 0.080425, -0.227789, 0.000000, 0.000000]]
fourier: [[29.026756, 29.341124, 30.127393, 31.234069, 113.023615], [52.520757, 53.037447, 54.229089, 54.815504, 246.569698], [47.432067, 47.971927, 48.539413, 50.420684, 220.768097], [16.598951, 16.778054, 17.632858, 20.099013, 113.836145], [23.892140, 24.530660, 25.487534, 27.251913, 94.254301], [29.189905, 30.855943, 31.718843, 37.181614, 198.736624], [33.010141, 34.895438, 34.901646, 39.685029, 182.130102], [12.285617, 13.180662, 13.226230, 13.276217, 14.267941]]
### 6
mean: [3.748997, -0.328512, -0.513011, 2.655468, -0.335683, 3.938233, 3.736856, -0.389600]
std: [5.048961, 1.168791, 0.235173, 3.769579, 1.075663, 4.759565, 5.165603, 1.165640]
pca: [[0.525475, -0.064473, 0.244203, -0.275009, 0.647702, 0.065373, -0.377819, -0.133848, 0.000000, 0.000000], [-0.110279, 0.612653, -0.171605, 0.534545, 0.192690, -0.065774, -0.487177, 0.136057, 0.000000, 0.000000], [0.004875, -0.248176, 0.735640, 0.335432, -0.271059, 0.223939, -0.255215, 0.309754, 0.000000, 0.000000], [0.391984, -0.189463, -0.369892, 0.436476, 0.099135, 0.627464, 0.264275, 0.098701, 0.000000, 0.000000], [-0.105668, 0.440998, 0.152032, -0.384266, 0.195539, 0.292026, 0.317675, 0.631782, 0.000000, 0.000000], [0.494370, 0.377428, 0.333644, 0.268661, -0.072707, -0.364146, 0.514207, -0.165385, 0.000000, 0.000000], [0.537487, 0.155909, -0.245456, -0.300199, -0.606222, -0.020289, -0.342265, 0.226652, 0.000000, 0.000000], [-0.116533, 0.402210, 0.195576, -0.160151, -0.221416, 0.573802, -0.049638, -0.616451, 0.000000, 0.000000]]
fourier: [[82.078152, 82.922395, 84.730102, 86.602415, 337.409707], [18.530624, 19.272663, 21.553099, 21.796570, 29.566104], [3.430303, 3.779171, 4.038496, 4.502143, 46.171010], [61.259226, 62.490227, 63.066672, 64.452233, 238.992069], [17.078017, 17.296078, 19.577423, 19.875957, 30.211495], [77.458670, 78.992868, 79.033030, 83.840598, 354.440930], [84.301523, 84.530602, 85.800136, 89.654282, 336.317030], [18.400674, 18.634018, 20.986718, 21.059664, 35.064002]]
### 8
mean: [-0.992328, 5.642134, 2.670868, 2.007713, -0.806676, -0.806345, -1.275650, 6.876965]
std: [2.236057, 7.929179, 4.052337, 3.322262, 1.253195, 1.740850, 2.132226, 9.633073]
pca: [[-0.158502, 0.412407, 0.416175, -0.390999, 0.668476, 0.023116, -0.143264, -0.103903, 0.000000, 0.000000], [0.564928, 0.178136, 0.035930, -0.419921, -0.120873, -0.249023, 0.082203, 0.622993, 0.000000, 0.000000], [0.288733, -0.008522, -0.117328, 0.055438, 0.232786, -0.606317, 0.499137, -0.478304, 0.000000, 0.000000], [0.236657, 0.108931, -0.363373, -0.040578, 0.276328, 0.687200, 0.499736, 0.010219, 0.000000, 0.000000], [-0.088804, 0.237637, -0.116633, 0.698464, 0.396177, -0.193732, -0.000510, 0.489591, 0.000000, 0.000000], [-0.120499, 0.767779, -0.470771, -0.063905, -0.310208, -0.083652, -0.167190, -0.197755, 0.000000, 0.000000], [-0.151277, 0.340841, 0.606375, 0.196045, -0.392371, 0.095352, 0.539449, 0.027696, 0.000000, 0.000000], [0.686345, 0.155309, 0.277097, 0.368371, -0.029028, 0.209686, -0.393557, -0.304356, 0.000000, 0.000000]]
fourier: [[35.310816, 35.549727, 38.022751, 39.407062, 89.309530], [128.548109, 129.836512, 134.410690, 135.303654, 507.791995], [65.968094, 66.166128, 68.301029, 69.396123, 240.378136], [54.367828, 54.967484, 55.992741, 56.717245, 180.694193], [19.284450, 20.265201, 21.614202, 22.112563, 72.600869], [26.592102, 27.115974, 30.234159, 31.215863, 72.571098], [34.109914, 34.127907, 35.901506, 37.712849, 114.808525], [156.434841, 157.192321, 163.518059, 163.778046, 618.926790]]
### 10
mean: [-6.771160]
std: [9.681387]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.175850, 158.748862, 163.277367, 165.788802, 609.404393]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.004119,
0.61653,
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0.004123,
0.455294
],
[
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0.299919,
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[
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0.190091
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[
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[
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[
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[
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[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
0.20356,
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0.442121,
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-0.318156,
0.302529
],
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0.216204,
-0.230816,
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0.151772,
0.291333,
-0.212531
],
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0.572204,
0.471308,
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0.3955,
0.315817,
0.098516
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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0.221358,
0.171654,
0.6002,
0.071897,
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0.579898
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[
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0.36808,
0.270879,
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0.237304,
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0.170695,
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0.036359,
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0.03544,
0.30193,
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-0.362488,
0.364199,
-0.053727
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],
"network.4.bias": [
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0.008842,
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"network.6.weight": [
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0.171928,
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0.075703,
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0.04585,
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0.13515
]
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"network.6.bias": [
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0.023088,
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],
"network.8.weight": [
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],
[
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0.486853,
-0.279431,
0.635015,
0.169619,
-0.07269
],
[
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0.19326,
0.228908,
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[
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0.129601,
0.067095,
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0.060069,
0.0713,
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],
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0.038053
],
[
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0.468083,
0.235585,
-0.238282,
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],
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0.211813,
-0.072644,
-0.161445
],
[
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0.543205,
0.562021,
-0.487022
]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
-0.011617
]
}
## Activation Signature
### 0
mean: [1.317166, -0.286546, 1.314379, 0.989371, 0.832773, -0.136807, 1.539909, 0.850021]
std: [1.360763, 1.192183, 1.525099, 1.421830, 1.120558, 2.000466, 1.321791, 1.458470]
pca: [[0.036157, 0.533134, -0.171653, -0.156655, 0.620964, -0.449114, 0.015767, -0.270014, 0.000000, 0.000000], [-0.026227, 0.232339, 0.660883, 0.008284, 0.259534, 0.011993, -0.306067, 0.589335, 0.000000, 0.000000], [0.461518, 0.351029, -0.154063, 0.105791, 0.037989, 0.633556, -0.431226, -0.200149, 0.000000, 0.000000], [0.352190, 0.316413, 0.409378, 0.377225, -0.173276, -0.001958, 0.639273, -0.165100, 0.000000, 0.000000], [-0.155913, 0.118717, -0.495413, 0.661789, 0.173956, 0.043205, 0.125130, 0.480014, 0.000000, 0.000000], [0.686399, -0.284964, -0.074412, 0.182670, -0.100897, -0.544365, -0.293499, 0.126854, 0.000000, 0.000000], [0.178764, 0.422934, -0.295938, -0.516756, -0.420961, -0.046156, 0.192960, 0.466885, 0.000000, 0.000000], [-0.365458, 0.405310, 0.062383, 0.289015, -0.545829, -0.310525, -0.415230, -0.219025, 0.000000, 0.000000]]
fourier: [[20.514102, 23.329780, 23.742377, 24.419768, 118.544962], [15.726107, 21.563473, 21.959759, 25.789128, 26.676981], [24.635554, 25.114432, 25.484005, 26.237957, 118.294103], [22.833802, 23.385647, 24.030751, 24.210181, 89.043377], [18.009500, 18.287129, 18.759715, 22.685752, 74.949547], [27.695697, 28.508634, 28.961828, 39.339916, 40.501606], [21.331310, 22.307489, 24.556831, 24.684774, 138.591803], [19.771676, 21.427604, 22.985904, 23.074938, 76.501867]]
### 2
mean: [1.044284, 0.167519, -0.551587, 1.842831, 1.532539, -1.608924, -0.567720, 1.393524]
std: [1.401117, 1.020643, 0.294133, 1.506086, 1.835210, 1.700703, 0.839381, 2.075344]
pca: [[0.345156, 0.130905, 0.684942, 0.416825, 0.243396, -0.138282, -0.074320, -0.370074, 0.000000, 0.000000], [-0.160481, 0.539000, -0.160235, -0.093844, 0.657884, 0.454057, 0.011763, -0.100620, 0.000000, 0.000000], [0.030554, -0.074192, 0.204338, 0.239848, -0.237070, 0.576816, 0.697139, 0.139138, 0.000000, 0.000000], [0.363925, 0.483881, -0.085252, -0.180673, 0.032545, -0.515621, 0.508237, 0.261303, 0.000000, 0.000000], [0.495993, -0.082206, -0.009716, 0.175103, 0.168701, 0.228134, -0.361179, 0.711001, 0.000000, 0.000000], [-0.426981, -0.358520, 0.437154, -0.228447, 0.467722, -0.217566, 0.194945, 0.376505, 0.000000, 0.000000], [-0.149651, -0.198392, -0.464573, 0.728170, 0.295820, -0.263078, 0.188239, 0.005623, 0.000000, 0.000000], [0.520597, -0.527298, -0.221655, -0.337934, 0.340517, 0.086823, 0.214810, -0.343470, 0.000000, 0.000000]]
fourier: [[23.158001, 24.929501, 25.675871, 25.707823, 93.985609], [15.076723, 15.925168, 17.300223, 18.515073, 18.523609], [4.324865, 5.377051, 5.678314, 5.869599, 49.642865], [24.048148, 24.563852, 25.604278, 28.526291, 165.854836], [29.252619, 29.277717, 29.407203, 31.160180, 137.928536], [26.489272, 28.693455, 28.916232, 30.198134, 144.803164], [12.707989, 12.740907, 14.556987, 15.104527, 51.094805], [33.885203, 34.773454, 36.151090, 37.687492, 125.417123]]
### 4
mean: [1.255818, 2.739663, 2.452979, 1.264846, 1.047270, -2.208185, 2.023668, -0.110648]
std: [1.807642, 3.265244, 2.923172, 1.040063, 1.511391, 1.972685, 2.110190, 0.811462]
pca: [[0.308107, -0.229407, 0.269385, -0.067194, -0.172635, 0.117122, -0.480281, 0.707933, 0.000000, 0.000000], [0.558451, -0.320979, -0.088267, 0.096846, -0.462612, -0.038282, -0.211954, -0.554558, 0.000000, 0.000000], [0.501761, -0.091623, 0.027797, -0.007195, -0.035820, 0.097882, 0.810850, 0.265847, 0.000000, 0.000000], [0.146277, 0.658660, 0.257950, 0.295210, -0.326774, -0.526211, -0.001437, 0.086037, 0.000000, 0.000000], [0.257325, -0.106024, 0.468269, -0.461862, 0.503869, -0.437226, -0.048716, -0.206218, 0.000000, 0.000000], [-0.328317, -0.502973, 0.531060, 0.556419, -0.039581, -0.131885, 0.162607, -0.046883, 0.000000, 0.000000], [0.359393, 0.265519, 0.121821, 0.516675, 0.535028, 0.428996, -0.177883, -0.128873, 0.000000, 0.000000], [-0.129884, 0.259605, 0.579817, -0.330204, -0.326215, 0.552938, 0.080425, -0.227789, 0.000000, 0.000000]]
fourier: [[29.026756, 29.341124, 30.127393, 31.234069, 113.023615], [52.520757, 53.037447, 54.229089, 54.815504, 246.569698], [47.432067, 47.971927, 48.539413, 50.420684, 220.768097], [16.598951, 16.778054, 17.632858, 20.099013, 113.836145], [23.892140, 24.530660, 25.487534, 27.251913, 94.254301], [29.189905, 30.855943, 31.718843, 37.181614, 198.736624], [33.010141, 34.895438, 34.901646, 39.685029, 182.130102], [12.285617, 13.180662, 13.226230, 13.276217, 14.267941]]
### 6
mean: [3.748997, -0.328512, -0.513011, 2.655468, -0.335683, 3.938233, 3.736856, -0.389600]
std: [5.048961, 1.168791, 0.235173, 3.769579, 1.075663, 4.759565, 5.165603, 1.165640]
pca: [[0.525475, -0.064473, 0.244203, -0.275009, 0.647702, 0.065373, -0.377819, -0.133848, 0.000000, 0.000000], [-0.110279, 0.612653, -0.171605, 0.534545, 0.192690, -0.065774, -0.487177, 0.136057, 0.000000, 0.000000], [0.004875, -0.248176, 0.735640, 0.335432, -0.271059, 0.223939, -0.255215, 0.309754, 0.000000, 0.000000], [0.391984, -0.189463, -0.369892, 0.436476, 0.099135, 0.627464, 0.264275, 0.098701, 0.000000, 0.000000], [-0.105668, 0.440998, 0.152032, -0.384266, 0.195539, 0.292026, 0.317675, 0.631782, 0.000000, 0.000000], [0.494370, 0.377428, 0.333644, 0.268661, -0.072707, -0.364146, 0.514207, -0.165385, 0.000000, 0.000000], [0.537487, 0.155909, -0.245456, -0.300199, -0.606222, -0.020289, -0.342265, 0.226652, 0.000000, 0.000000], [-0.116533, 0.402210, 0.195576, -0.160151, -0.221416, 0.573802, -0.049638, -0.616451, 0.000000, 0.000000]]
fourier: [[82.078152, 82.922395, 84.730102, 86.602415, 337.409707], [18.530624, 19.272663, 21.553099, 21.796570, 29.566104], [3.430303, 3.779171, 4.038496, 4.502143, 46.171010], [61.259226, 62.490227, 63.066672, 64.452233, 238.992069], [17.078017, 17.296078, 19.577423, 19.875957, 30.211495], [77.458670, 78.992868, 79.033030, 83.840598, 354.440930], [84.301523, 84.530602, 85.800136, 89.654282, 336.317030], [18.400674, 18.634018, 20.986718, 21.059664, 35.064002]]
### 8
mean: [-0.992328, 5.642134, 2.670868, 2.007713, -0.806676, -0.806345, -1.275650, 6.876965]
std: [2.236057, 7.929179, 4.052337, 3.322262, 1.253195, 1.740850, 2.132226, 9.633073]
pca: [[-0.158502, 0.412407, 0.416175, -0.390999, 0.668476, 0.023116, -0.143264, -0.103903, 0.000000, 0.000000], [0.564928, 0.178136, 0.035930, -0.419921, -0.120873, -0.249023, 0.082203, 0.622993, 0.000000, 0.000000], [0.288733, -0.008522, -0.117328, 0.055438, 0.232786, -0.606317, 0.499137, -0.478304, 0.000000, 0.000000], [0.236657, 0.108931, -0.363373, -0.040578, 0.276328, 0.687200, 0.499736, 0.010219, 0.000000, 0.000000], [-0.088804, 0.237637, -0.116633, 0.698464, 0.396177, -0.193732, -0.000510, 0.489591, 0.000000, 0.000000], [-0.120499, 0.767779, -0.470771, -0.063905, -0.310208, -0.083652, -0.167190, -0.197755, 0.000000, 0.000000], [-0.151277, 0.340841, 0.606375, 0.196045, -0.392371, 0.095352, 0.539449, 0.027696, 0.000000, 0.000000], [0.686345, 0.155309, 0.277097, 0.368371, -0.029028, 0.209686, -0.393557, -0.304356, 0.000000, 0.000000]]
fourier: [[35.310816, 35.549727, 38.022751, 39.407062, 89.309530], [128.548109, 129.836512, 134.410690, 135.303654, 507.791995], [65.968094, 66.166128, 68.301029, 69.396123, 240.378136], [54.367828, 54.967484, 55.992741, 56.717245, 180.694193], [19.284450, 20.265201, 21.614202, 22.112563, 72.600869], [26.592102, 27.115974, 30.234159, 31.215863, 72.571098], [34.109914, 34.127907, 35.901506, 37.712849, 114.808525], [156.434841, 157.192321, 163.518059, 163.778046, 618.926790]]
### 10
mean: [-6.771160]
std: [9.681387]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[158.175850, 158.748862, 163.277367, 165.788802, 609.404393]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.004119, 0.61653, -0.301284, 0.004123, 0.455294], [0.256254, 0.085376, -0.461456, 0.299919, -0.246493], [0.517499, 0.397354, -0.014413, -0.158931, 0.190091], [0.676062, 0.113026, -0.185954, 0.196114, -0.173681], [-0.16516, -0.104478, 0.144054, 0.147393, 0.518166], [0.745693, -0.198379, 0.216822, -0.495221, -0.183963], [-0.020409, 0.691731, 0.133857, -0.116982, 0.155139], [-0.271663, 0.152019, 0.009738, 0.586161, 0.092449]], "network.0.bias": [0.247563, -0.136235, 0.082794, 0.124178, -0.027373, 0.132653, 0.084728, -0.480275], "network.2.weight": [[0.504542, 0.133917, -0.028081, 0.455302, -0.126895, -0.234324, 0.477318, -0.282642], [-0.331021, -0.57954, 0.006432, -0.439704, 0.179319, -0.076847, 0.302126, 0.422737], [0.181804, 0.013746, 0.026993, 0.173709, -0.085368, -0.212524, -0.11701, -0.205055], [0.22942, -0.256508, 0.367332, 0.040822, 0.349648, 0.084063, 0.46168, 0.007855], [0.20356, -0.028194, 0.445308, 0.349409, -0.156563, 0.117152, 0.451247, -0.150916], [-0.353591, 0.442121, -0.547654, -0.031978, -0.279579, -0.102011, -0.318156, 0.302529], [-0.352913, 0.216204, -0.230816, -0.340483, -0.177319, 0.151772, 0.291333, -0.212531], [-0.161961, 0.243551, 0.572204, 0.471308, -0.29854, 0.3955, 0.315817, 0.098516]], "network.2.bias": [-0.236063, 0.195753, -0.421596, 0.064414, -0.105124, -0.047313, 0.3073, -0.211565], "network.4.weight": [[0.21139, -0.410326, -0.31337, 0.169405, 0.269808, 0.077193, -0.216007, 0.37912], [0.548517, -0.437333, 0.221358, 0.171654, 0.6002, 0.071897, -0.544956, 0.579898], [0.497576, -0.37603, 0.030218, 0.382488, 0.36808, 0.270879, -0.276435, 0.531869], [-0.120559, 0.431336, -0.255881, 0.542652, 0.237304, -0.14334, -0.118804, -0.048688], [0.09459, -0.560892, -0.4787, 0.343568, 0.193079, 0.375218, 0.082537, 0.251428], [-0.485745, 0.013285, 0.170695, -0.580909, -0.153903, 0.355955, 0.42267, -0.10685], [0.253143, 0.036359, -0.328136, 0.48617, 0.258521, 0.56978, -0.478384, 0.324918], [-0.315589, -0.004845, 0.03544, 0.30193, -0.347621, -0.362488, 0.364199, -0.053727]], "network.4.bias": [-0.090295, 0.345106, 0.112412, -0.055325, -0.148747, -0.263864, 0.008842, 0.278207], "network.6.weight": [[0.417923, 0.418618, 0.515231, -0.235853, 0.485285, 0.417042, 0.395568, -0.142576], [-0.628969, 0.001293, -0.321952, 0.401353, -0.298696, -0.076333, 0.527535, -0.020202], [0.413534, 0.160244, -0.538323, -0.016595, 0.595423, 0.0593, -0.228769, 0.117498], [0.166762, 0.365854, 0.375412, -0.315156, 0.467314, 0.297178, 0.29324, -0.56738], [-0.20038, -0.30515, 0.245012, 0.395773, -0.479119, -0.096726, 0.023704, 0.267444], [0.275842, 0.546544, 0.1135, 0.276635, 0.366165, -0.136452, 0.6093, -0.381933], [0.358629, 0.650867, 0.523586, 0.213817, 0.115686, 0.413746, 0.171928, -0.589989], [-0.071669, -0.235645, 0.075703, 0.4911, -0.392801, 0.04585, -0.118447, 0.13515]], "network.6.bias": [-0.079518, 0.023088, -0.330418, -0.018863, 0.082233, -0.002858, -0.309668, 0.192143], "network.8.weight": [[-0.257466, 0.508028, -0.609855, -0.138895, 0.05996, 0.371136, -0.409727, -0.009161], [0.419105, -0.390871, 0.176981, 0.486853, -0.279431, 0.635015, 0.169619, -0.07269], [0.045066, -0.248116, -0.030329, 0.449073, -0.215362, 0.19326, 0.228908, 0.041084], [0.476619, 0.100556, 0.129601, 0.067095, -0.02031, 0.060069, 0.0713, -0.204481], [-0.209293, 0.371256, -0.123164, -0.140856, 0.112864, -0.107726, 0.179966, 0.038053], [0.079168, 0.544186, -0.261192, -0.483516, 0.468083, 0.235585, -0.238282, 0.380337], [-0.16523, 0.247925, -0.680659, -0.500116, 0.332721, 0.211813, -0.072644, -0.161445], [0.524299, -0.339092, -0.013703, 0.36947, -0.246014, 0.543205, 0.562021, -0.487022]], "network.8.bias": [0.276844, -0.220218, -0.267386, -0.431973, -0.002603, -0.054584, -0.018432, -0.176536], "network.10.weight": [[0.357454, -0.339959, -0.234736, -0.33967, 0.051848, 0.279334, 0.0428, -0.510651]], "network.10.bias": [-0.011617]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839284002780914, "train_acc": 0.575, "val_loss": 0.7063761949539185, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6738722026348114, "train_acc": 0.575, "val_loss": 0.7027317881584167, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6579413414001465, "train_acc": 0.575, "val_loss": 0.6515493988990784, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6292133629322052, "train_acc": 0.505, "val_loss": 0.5398368835449219, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5307547152042389, "train_acc": 0.51, "val_loss": 0.4757327735424042, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4777667671442032, "train_acc": 0.82, "val_loss": 0.4440920948982239, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39201343059539795, "train_acc": 0.845, "val_loss": 0.3963649868965149, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3965817838907242, "train_acc": 0.85, "val_loss": 0.6697163581848145, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.35409994423389435, "train_acc": 0.84, "val_loss": 0.4304177761077881, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3344401866197586, "train_acc": 0.855, "val_loss": 0.5117360949516296, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7063761949539185, "final_val_loss": 0.6515493988990784, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5398368835449219, "final_val_loss": 0.5117360949516296, "initial_val_acc": 0.48, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
34
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.52, "improved_accuracy": 0.68, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9762, "learning_rate": 0.031389579657191864, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
mean: [-1.530733, 0.905974, 0.936937, -0.241440, -0.213215, -2.394053, -3.131799]
std: [1.012749, 0.923339, 1.279808, 1.391762, 0.823254, 1.589513, 1.940246]
pca: [[0.276238, 0.203288, 0.374505, 0.431140, -0.373087, 0.645404, -0.022156, 0.000000, 0.000000, 0.000000], [-0.091904, -0.220378, -0.499932, 0.512275, -0.355908, -0.130717, 0.535605, 0.000000, 0.000000, 0.000000], [-0.358634, 0.167397, 0.621619, 0.409386, -0.005214, -0.534289, 0.062141, 0.000000, 0.000000, 0.000000], [-0.103907, 0.644409, -0.465410, 0.271167, -0.059068, -0.121421, -0.515335, 0.000000, 0.000000, 0.000000], [0.041452, 0.381677, -0.055607, 0.181321, 0.735152, 0.214616, 0.479715, 0.000000, 0.000000, 0.000000], [0.492965, 0.490387, 0.060782, -0.366335, -0.339664, -0.339139, 0.384998, 0.000000, 0.000000, 0.000000], [0.728765, -0.284017, -0.003407, 0.378796, 0.273494, -0.324167, -0.254666, 0.000000, 0.000000, 0.000000]]
fourier: [[15.315431, 17.519149, 17.790028, 19.139497, 137.765930], [12.894378, 14.317158, 15.133055, 16.574014, 81.537633], [19.914002, 21.926353, 25.655536, 27.466345, 84.324301], [21.729630, 21.806795, 22.517934, 25.604361, 26.635735], [13.139486, 13.336469, 16.231010, 16.526703, 19.189337], [24.706085, 24.813128, 25.029190, 30.564054, 215.464777], [28.465464, 29.114103, 31.237844, 42.360091, 281.861866]]
### 2
mean: [-0.022911, 0.524813, 0.247030, 0.055376, -0.006254, -0.287155, -0.651782]
std: [0.435983, 0.362490, 0.323159, 0.416583, 0.390533, 0.545485, 0.270548]
pca: [[0.478131, 0.002858, 0.448509, 0.034548, -0.157848, 0.118327, 0.728088, 0.000000, 0.000000, 0.000000], [-0.374836, 0.166256, 0.404449, -0.358433, 0.463488, 0.569676, 0.021264, 0.000000, 0.000000, 0.000000], [-0.239082, -0.453732, -0.218975, 0.522932, -0.183442, 0.603955, 0.130939, 0.000000, 0.000000, 0.000000], [0.301995, 0.607777, -0.286703, -0.118073, -0.409371, 0.490633, -0.186977, 0.000000, 0.000000, 0.000000], [0.423426, 0.138198, -0.368485, 0.306424, 0.747298, 0.081598, 0.082598, 0.000000, 0.000000, 0.000000], [0.550090, -0.539955, 0.205327, -0.248089, 0.023099, 0.217688, -0.504203, 0.000000, 0.000000, 0.000000], [0.025286, 0.293997, 0.571990, 0.653826, -0.006247, -0.044036, -0.395332, 0.000000, 0.000000, 0.000000]]
fourier: [[6.647437, 6.785079, 7.459399, 7.631217, 10.558808], [5.147422, 5.274488, 6.194083, 6.641085, 47.233155], [5.024649, 5.650365, 5.990818, 7.682922, 22.232721], [6.329451, 6.467193, 7.022756, 8.358985, 9.003386], [5.377770, 6.298445, 6.421277, 7.568286, 8.796921], [8.582957, 8.611503, 8.655206, 11.669853, 25.843977], [4.131043, 4.252453, 4.477039, 4.498897, 58.660406]]
### 4
mean: [-0.055060, 0.182169, 0.440774, 0.497867, 0.435713, 0.093782, -0.183853]
std: [0.202048, 0.112459, 0.213506, 0.372552, 0.298225, 0.144667, 0.167742]
pca: [[0.334157, -0.138594, -0.388630, -0.419309, 0.496270, 0.060596, 0.540667, 0.000000, 0.000000, 0.000000], [-0.016094, 0.824399, -0.166511, -0.209232, 0.057255, -0.491882, -0.058109, 0.000000, 0.000000, 0.000000], [0.337278, 0.294917, 0.694650, -0.143922, -0.226830, 0.231273, 0.437123, 0.000000, 0.000000, 0.000000], [0.630759, -0.045771, -0.215775, 0.613995, -0.213422, -0.328305, 0.152201, 0.000000, 0.000000, 0.000000], [0.504427, -0.056763, -0.192490, -0.503231, -0.395545, 0.182059, -0.512286, 0.000000, 0.000000, 0.000000], [0.227556, 0.377472, -0.032864, 0.345364, 0.492986, 0.584328, -0.317652, 0.000000, 0.000000, 0.000000], [0.265024, -0.257643, 0.503995, -0.100898, 0.503931, -0.467465, -0.355979, 0.000000, 0.000000, 0.000000]]
fourier: [[2.835057, 2.971178, 4.326728, 4.529160, 4.955436], [1.769214, 1.814194, 1.977526, 2.593381, 16.395254], [3.253704, 3.926743, 4.041079, 5.146510, 39.669684], [5.607912, 5.934529, 8.387743, 8.569155, 44.808077], [4.556698, 4.619309, 6.565284, 6.583333, 39.214198], [2.378641, 2.453512, 3.219413, 3.338949, 8.440379], [2.660786, 2.984538, 3.096857, 4.168374, 16.546775]]
### 6
mean: [-0.046505, 0.238430, 0.031342, 0.336755, 0.063434, 0.414941, 0.666134]
std: [0.127823, 0.295191, 0.245219, 0.116967, 0.280052, 0.336287, 0.371517]
pca: [[0.177773, -0.576172, -0.200655, -0.420344, -0.160132, -0.174793, -0.602724, 0.000000, 0.000000, 0.000000], [0.414767, 0.219442, -0.476369, 0.543587, -0.138355, -0.469025, -0.135173, 0.000000, 0.000000, 0.000000], [0.344068, -0.070324, 0.624678, 0.204504, -0.661691, 0.077321, -0.028503, 0.000000, 0.000000, 0.000000], [0.164041, -0.274798, -0.082777, -0.332450, -0.151425, -0.454021, 0.742386, 0.000000, 0.000000, 0.000000], [0.393418, -0.394739, 0.375439, 0.284343, 0.677199, -0.093280, 0.017230, 0.000000, 0.000000, 0.000000], [0.472402, 0.611086, 0.193619, -0.541033, 0.186762, -0.133990, -0.142730, 0.000000, 0.000000, 0.000000], [0.522619, -0.100829, -0.396600, -0.043712, -0.031171, 0.714630, 0.214088, 0.000000, 0.000000, 0.000000]]
fourier: [[1.888127, 2.128987, 2.871373, 2.955915, 4.185489], [4.403703, 5.134376, 6.507575, 7.024025, 21.458723], [3.552286, 3.754906, 3.954009, 5.502907, 5.600855], [1.734494, 1.968718, 2.608515, 2.738808, 30.307996], [4.266071, 4.597417, 5.709028, 6.310697, 6.414531], [5.153659, 5.717838, 7.291431, 7.914615, 37.344653], [5.541538, 6.364647, 8.222338, 8.756060, 59.952061]]
### 8
mean: [0.611381, 0.085254, 0.179864, -0.005645, -0.409203, -0.419074, -0.395077]
std: [0.415933, 0.271159, 0.310312, 0.383080, 0.507686, 0.022705, 0.557029]
pca: [[-0.404372, -0.215772, 0.334131, 0.503402, 0.129907, -0.031268, -0.637977, 0.000000, 0.000000, 0.000000], [-0.263613, -0.211923, -0.281047, 0.027560, 0.832413, 0.195672, 0.273222, 0.000000, 0.000000, 0.000000], [-0.301682, -0.239354, 0.185100, 0.479298, -0.356272, 0.113925, 0.669179, 0.000000, 0.000000, 0.000000], [0.372381, 0.607693, -0.073268, 0.646169, 0.225371, -0.108463, 0.081142, 0.000000, 0.000000, 0.000000], [0.493548, -0.528668, -0.464035, 0.296120, -0.160056, 0.333604, -0.192341, 0.000000, 0.000000, 0.000000], [0.021642, 0.288599, 0.310632, -0.089034, -0.002305, 0.898775, -0.063409, 0.000000, 0.000000, 0.000000], [0.541530, -0.345212, 0.676696, -0.054329, 0.294733, -0.130012, 0.151441, 0.000000, 0.000000, 0.000000]]
fourier: [[6.265209, 7.248273, 9.177487, 9.679814, 55.024274], [4.077286, 4.754367, 5.960230, 6.328225, 7.672841], [4.667300, 5.413686, 6.842801, 7.221936, 16.187743], [5.646034, 5.740468, 6.691687, 8.462550, 8.923141], [7.688900, 8.827698, 11.195571, 11.786722, 36.828268], [0.341812, 0.421031, 0.474551, 0.536499, 37.716646], [8.414862, 9.761872, 12.212498, 12.959831, 35.556904]]
### 10
mean: [0.170430, -0.200566, 0.465281, -0.163259, -0.241781, 0.229736, -0.223727]
std: [0.113016, 0.330065, 0.314289, 0.378334, 0.037890, 0.293720, 0.395883]
pca: [[0.141518, 0.435248, 0.386092, 0.082979, -0.549210, 0.577016, -0.000270, 0.000000, 0.000000, 0.000000], [0.424243, 0.195181, -0.365995, 0.657503, 0.035372, -0.067482, -0.458099, 0.000000, 0.000000, 0.000000], [-0.403016, 0.409446, -0.077055, -0.066569, 0.628521, 0.449244, -0.250408, 0.000000, 0.000000, 0.000000], [0.484645, 0.570908, -0.149806, -0.570058, 0.083031, -0.288237, 0.042434, 0.000000, 0.000000, 0.000000], [-0.042245, 0.316103, 0.643852, 0.392271, 0.292058, -0.437210, 0.231134, 0.000000, 0.000000, 0.000000], [-0.376692, 0.371869, -0.520845, 0.244781, -0.228012, -0.091567, 0.572926, 0.000000, 0.000000, 0.000000], [0.508927, -0.201680, -0.052697, 0.132714, 0.397361, 0.421973, 0.586492, 0.000000, 0.000000, 0.000000]]
fourier: [[1.687280, 1.840228, 2.377449, 2.583299, 15.338671], [4.944283, 5.513174, 7.240055, 7.718269, 18.050943], [4.739153, 5.418681, 6.933015, 7.337911, 41.875322], [5.649960, 6.166606, 8.244937, 8.812998, 14.693319], [0.636955, 0.693165, 0.770464, 0.787947, 21.760269], [4.449471, 5.039887, 6.477731, 6.858264, 20.676239], [5.957108, 6.745946, 8.726926, 9.261524, 20.135399]]
### 12
mean: [-0.099154]
std: [0.245642]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.736783, 3.834564, 5.310338, 5.699942, 8.923878]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.bias": [
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [-1.530733, 0.905974, 0.936937, -0.241440, -0.213215, -2.394053, -3.131799]
std: [1.012749, 0.923339, 1.279808, 1.391762, 0.823254, 1.589513, 1.940246]
pca: [[0.276238, 0.203288, 0.374505, 0.431140, -0.373087, 0.645404, -0.022156, 0.000000, 0.000000, 0.000000], [-0.091904, -0.220378, -0.499932, 0.512275, -0.355908, -0.130717, 0.535605, 0.000000, 0.000000, 0.000000], [-0.358634, 0.167397, 0.621619, 0.409386, -0.005214, -0.534289, 0.062141, 0.000000, 0.000000, 0.000000], [-0.103907, 0.644409, -0.465410, 0.271167, -0.059068, -0.121421, -0.515335, 0.000000, 0.000000, 0.000000], [0.041452, 0.381677, -0.055607, 0.181321, 0.735152, 0.214616, 0.479715, 0.000000, 0.000000, 0.000000], [0.492965, 0.490387, 0.060782, -0.366335, -0.339664, -0.339139, 0.384998, 0.000000, 0.000000, 0.000000], [0.728765, -0.284017, -0.003407, 0.378796, 0.273494, -0.324167, -0.254666, 0.000000, 0.000000, 0.000000]]
fourier: [[15.315431, 17.519149, 17.790028, 19.139497, 137.765930], [12.894378, 14.317158, 15.133055, 16.574014, 81.537633], [19.914002, 21.926353, 25.655536, 27.466345, 84.324301], [21.729630, 21.806795, 22.517934, 25.604361, 26.635735], [13.139486, 13.336469, 16.231010, 16.526703, 19.189337], [24.706085, 24.813128, 25.029190, 30.564054, 215.464777], [28.465464, 29.114103, 31.237844, 42.360091, 281.861866]]
### 2
mean: [-0.022911, 0.524813, 0.247030, 0.055376, -0.006254, -0.287155, -0.651782]
std: [0.435983, 0.362490, 0.323159, 0.416583, 0.390533, 0.545485, 0.270548]
pca: [[0.478131, 0.002858, 0.448509, 0.034548, -0.157848, 0.118327, 0.728088, 0.000000, 0.000000, 0.000000], [-0.374836, 0.166256, 0.404449, -0.358433, 0.463488, 0.569676, 0.021264, 0.000000, 0.000000, 0.000000], [-0.239082, -0.453732, -0.218975, 0.522932, -0.183442, 0.603955, 0.130939, 0.000000, 0.000000, 0.000000], [0.301995, 0.607777, -0.286703, -0.118073, -0.409371, 0.490633, -0.186977, 0.000000, 0.000000, 0.000000], [0.423426, 0.138198, -0.368485, 0.306424, 0.747298, 0.081598, 0.082598, 0.000000, 0.000000, 0.000000], [0.550090, -0.539955, 0.205327, -0.248089, 0.023099, 0.217688, -0.504203, 0.000000, 0.000000, 0.000000], [0.025286, 0.293997, 0.571990, 0.653826, -0.006247, -0.044036, -0.395332, 0.000000, 0.000000, 0.000000]]
fourier: [[6.647437, 6.785079, 7.459399, 7.631217, 10.558808], [5.147422, 5.274488, 6.194083, 6.641085, 47.233155], [5.024649, 5.650365, 5.990818, 7.682922, 22.232721], [6.329451, 6.467193, 7.022756, 8.358985, 9.003386], [5.377770, 6.298445, 6.421277, 7.568286, 8.796921], [8.582957, 8.611503, 8.655206, 11.669853, 25.843977], [4.131043, 4.252453, 4.477039, 4.498897, 58.660406]]
### 4
mean: [-0.055060, 0.182169, 0.440774, 0.497867, 0.435713, 0.093782, -0.183853]
std: [0.202048, 0.112459, 0.213506, 0.372552, 0.298225, 0.144667, 0.167742]
pca: [[0.334157, -0.138594, -0.388630, -0.419309, 0.496270, 0.060596, 0.540667, 0.000000, 0.000000, 0.000000], [-0.016094, 0.824399, -0.166511, -0.209232, 0.057255, -0.491882, -0.058109, 0.000000, 0.000000, 0.000000], [0.337278, 0.294917, 0.694650, -0.143922, -0.226830, 0.231273, 0.437123, 0.000000, 0.000000, 0.000000], [0.630759, -0.045771, -0.215775, 0.613995, -0.213422, -0.328305, 0.152201, 0.000000, 0.000000, 0.000000], [0.504427, -0.056763, -0.192490, -0.503231, -0.395545, 0.182059, -0.512286, 0.000000, 0.000000, 0.000000], [0.227556, 0.377472, -0.032864, 0.345364, 0.492986, 0.584328, -0.317652, 0.000000, 0.000000, 0.000000], [0.265024, -0.257643, 0.503995, -0.100898, 0.503931, -0.467465, -0.355979, 0.000000, 0.000000, 0.000000]]
fourier: [[2.835057, 2.971178, 4.326728, 4.529160, 4.955436], [1.769214, 1.814194, 1.977526, 2.593381, 16.395254], [3.253704, 3.926743, 4.041079, 5.146510, 39.669684], [5.607912, 5.934529, 8.387743, 8.569155, 44.808077], [4.556698, 4.619309, 6.565284, 6.583333, 39.214198], [2.378641, 2.453512, 3.219413, 3.338949, 8.440379], [2.660786, 2.984538, 3.096857, 4.168374, 16.546775]]
### 6
mean: [-0.046505, 0.238430, 0.031342, 0.336755, 0.063434, 0.414941, 0.666134]
std: [0.127823, 0.295191, 0.245219, 0.116967, 0.280052, 0.336287, 0.371517]
pca: [[0.177773, -0.576172, -0.200655, -0.420344, -0.160132, -0.174793, -0.602724, 0.000000, 0.000000, 0.000000], [0.414767, 0.219442, -0.476369, 0.543587, -0.138355, -0.469025, -0.135173, 0.000000, 0.000000, 0.000000], [0.344068, -0.070324, 0.624678, 0.204504, -0.661691, 0.077321, -0.028503, 0.000000, 0.000000, 0.000000], [0.164041, -0.274798, -0.082777, -0.332450, -0.151425, -0.454021, 0.742386, 0.000000, 0.000000, 0.000000], [0.393418, -0.394739, 0.375439, 0.284343, 0.677199, -0.093280, 0.017230, 0.000000, 0.000000, 0.000000], [0.472402, 0.611086, 0.193619, -0.541033, 0.186762, -0.133990, -0.142730, 0.000000, 0.000000, 0.000000], [0.522619, -0.100829, -0.396600, -0.043712, -0.031171, 0.714630, 0.214088, 0.000000, 0.000000, 0.000000]]
fourier: [[1.888127, 2.128987, 2.871373, 2.955915, 4.185489], [4.403703, 5.134376, 6.507575, 7.024025, 21.458723], [3.552286, 3.754906, 3.954009, 5.502907, 5.600855], [1.734494, 1.968718, 2.608515, 2.738808, 30.307996], [4.266071, 4.597417, 5.709028, 6.310697, 6.414531], [5.153659, 5.717838, 7.291431, 7.914615, 37.344653], [5.541538, 6.364647, 8.222338, 8.756060, 59.952061]]
### 8
mean: [0.611381, 0.085254, 0.179864, -0.005645, -0.409203, -0.419074, -0.395077]
std: [0.415933, 0.271159, 0.310312, 0.383080, 0.507686, 0.022705, 0.557029]
pca: [[-0.404372, -0.215772, 0.334131, 0.503402, 0.129907, -0.031268, -0.637977, 0.000000, 0.000000, 0.000000], [-0.263613, -0.211923, -0.281047, 0.027560, 0.832413, 0.195672, 0.273222, 0.000000, 0.000000, 0.000000], [-0.301682, -0.239354, 0.185100, 0.479298, -0.356272, 0.113925, 0.669179, 0.000000, 0.000000, 0.000000], [0.372381, 0.607693, -0.073268, 0.646169, 0.225371, -0.108463, 0.081142, 0.000000, 0.000000, 0.000000], [0.493548, -0.528668, -0.464035, 0.296120, -0.160056, 0.333604, -0.192341, 0.000000, 0.000000, 0.000000], [0.021642, 0.288599, 0.310632, -0.089034, -0.002305, 0.898775, -0.063409, 0.000000, 0.000000, 0.000000], [0.541530, -0.345212, 0.676696, -0.054329, 0.294733, -0.130012, 0.151441, 0.000000, 0.000000, 0.000000]]
fourier: [[6.265209, 7.248273, 9.177487, 9.679814, 55.024274], [4.077286, 4.754367, 5.960230, 6.328225, 7.672841], [4.667300, 5.413686, 6.842801, 7.221936, 16.187743], [5.646034, 5.740468, 6.691687, 8.462550, 8.923141], [7.688900, 8.827698, 11.195571, 11.786722, 36.828268], [0.341812, 0.421031, 0.474551, 0.536499, 37.716646], [8.414862, 9.761872, 12.212498, 12.959831, 35.556904]]
### 10
mean: [0.170430, -0.200566, 0.465281, -0.163259, -0.241781, 0.229736, -0.223727]
std: [0.113016, 0.330065, 0.314289, 0.378334, 0.037890, 0.293720, 0.395883]
pca: [[0.141518, 0.435248, 0.386092, 0.082979, -0.549210, 0.577016, -0.000270, 0.000000, 0.000000, 0.000000], [0.424243, 0.195181, -0.365995, 0.657503, 0.035372, -0.067482, -0.458099, 0.000000, 0.000000, 0.000000], [-0.403016, 0.409446, -0.077055, -0.066569, 0.628521, 0.449244, -0.250408, 0.000000, 0.000000, 0.000000], [0.484645, 0.570908, -0.149806, -0.570058, 0.083031, -0.288237, 0.042434, 0.000000, 0.000000, 0.000000], [-0.042245, 0.316103, 0.643852, 0.392271, 0.292058, -0.437210, 0.231134, 0.000000, 0.000000, 0.000000], [-0.376692, 0.371869, -0.520845, 0.244781, -0.228012, -0.091567, 0.572926, 0.000000, 0.000000, 0.000000], [0.508927, -0.201680, -0.052697, 0.132714, 0.397361, 0.421973, 0.586492, 0.000000, 0.000000, 0.000000]]
fourier: [[1.687280, 1.840228, 2.377449, 2.583299, 15.338671], [4.944283, 5.513174, 7.240055, 7.718269, 18.050943], [4.739153, 5.418681, 6.933015, 7.337911, 41.875322], [5.649960, 6.166606, 8.244937, 8.812998, 14.693319], [0.636955, 0.693165, 0.770464, 0.787947, 21.760269], [4.449471, 5.039887, 6.477731, 6.858264, 20.676239], [5.957108, 6.745946, 8.726926, 9.261524, 20.135399]]
### 12
mean: [-0.099154]
std: [0.245642]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.736783, 3.834564, 5.310338, 5.699942, 8.923878]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.010915, -0.173787, -0.079553, -0.340441, -0.183748], [-0.202714, 0.075913, 0.149258, 0.304526, -0.28113], [0.170038, 0.098523, 0.518019, -0.226839, -0.091894], [-0.672811, 0.422231, 0.261179, -0.404302, 0.302029], [-0.25289, 0.335062, -0.039489, -0.385238, 0.154447], [-0.248976, -0.176267, -0.406839, -0.483798, 0.315116], [0.124816, -0.290915, -0.77071, -0.024196, -0.441561]], "network.0.bias": [-0.077612, 0.401813, 0.063498, -0.224635, 0.209062, -0.264341, -0.550605], "network.2.weight": [[-0.023341, -0.014607, -0.364932, 0.128782, 0.194782, 0.388945, -0.513405], [-0.292199, -0.268707, 0.218996, -0.059921, 0.099567, -0.282416, -0.237982], [-0.00237, -0.04608, 0.117316, -0.191648, -0.51042, 0.118685, 0.642107], [-0.245901, 0.252015, -0.105816, 0.358864, 0.361685, 0.479614, -0.555925], [0.110981, 0.295428, -0.219835, 0.282768, -0.037123, 0.275131, -0.663444], [-0.378736, 0.123182, -0.402337, -0.207885, 0.117719, 0.154761, -0.321147], [0.239405, -0.267997, -0.115326, 0.320013, -0.142544, 0.27102, 0.096365]], "network.2.bias": [0.273951, 0.504537, 0.32879, -0.247308, -0.148968, 0.019972, -0.36224], "network.4.weight": [[-0.250944, 0.358553, -0.203754, -0.467827, -0.021009, -0.169829, -0.051196], [0.152091, -0.243093, -0.0318, -0.300947, -0.160669, 0.158793, -0.073162], [-0.490792, -0.153091, 0.388576, -0.269635, -0.18796, -0.242442, -0.069888], [-0.157834, 0.340557, 0.501202, -0.39417, -0.47187, -0.311988, -0.424047], [-0.427481, 0.186826, 0.034598, -0.478483, -0.431705, -0.306073, -0.058575], [-0.214071, 0.053458, 0.200878, -0.219562, -0.249556, 0.300346, 0.113749], [-0.3319, 0.210476, 0.132693, -0.331091, 0.424867, -0.537536, 0.038997]], "network.4.bias": [-0.114216, 0.305952, 0.480028, 0.269347, 0.432088, 0.10255, -0.269803], "network.6.weight": [[0.312719, 0.24151, 0.058205, -0.15219, 0.406565, 0.436926, 0.22266], [0.409405, 0.058287, 0.510353, 0.448762, 0.029445, 0.18992, 0.242428], [0.076654, -0.087437, -0.031965, 0.252178, 0.575364, 0.364424, -0.009781], [0.156776, 0.130675, 0.026138, -0.10851, 0.380542, 0.365547, 0.309419], [0.394305, 0.319405, 0.090359, 0.400158, 0.463063, -0.107933, 0.096867], [0.325621, -0.111534, 0.440333, 0.24788, 0.616577, -0.054826, 0.277906], [0.407667, 0.188854, 0.505859, 0.341693, 0.487475, 0.270957, 0.24166]], "network.6.bias": [-0.169862, -0.098562, -0.251381, 0.235441, -0.284333, 0.023332, 0.205992], "network.8.weight": [[0.137407, 0.241262, 0.234718, 0.266094, 0.392025, 0.202869, 0.478977], [-0.087866, 0.401422, 0.193702, 0.103856, 0.001886, 0.086772, 0.350549], [0.412101, 0.164428, 0.195336, -0.092416, 0.191289, 0.159434, 0.420859], [-0.509992, -0.601272, -0.296103, 0.045055, -0.13886, 0.082172, -0.50619], [-0.369157, -0.276978, -0.569283, -0.300898, -0.558485, -0.466524, -0.242859], [-0.024721, -0.182086, 0.298186, 0.023965, -0.010058, -0.007048, -0.060318], [0.010338, -0.429196, -0.12033, 0.328187, -0.479747, -0.554559, -0.651149]], "network.8.bias": [0.164081, -0.227882, -0.113381, 0.342862, 0.028511, -0.370309, 0.158407], "network.10.weight": [[-0.054221, -0.147999, -0.050018, 0.023939, 0.20539, 0.271519, 0.461491], [-0.121649, -0.101555, -0.550828, 0.653187, -0.017607, -0.063856, 0.632422], [0.361886, 0.14963, 0.343662, -0.249846, -0.183761, -0.044895, -0.250178], [-0.064042, -0.30885, -0.530294, 0.726914, 0.461747, -0.334332, 0.60742], [0.099722, -0.221142, 0.112129, -0.218603, 0.109427, 0.164649, 0.246529], [0.255163, 0.272295, 0.405088, -0.10624, -0.4149, -0.032166, -0.167256], [-0.302826, -0.47812, -0.307418, 0.554972, 0.258722, -0.409972, 0.36992]], "network.10.bias": [0.289915, -0.06961, 0.2127, -0.058164, -0.234114, -0.005866, -0.049369], "network.12.weight": [[0.26811, 0.117581, -0.165619, 0.463097, -0.10004, -0.315827, 0.369109]], "network.12.bias": [0.001253]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849014759063721, "train_acc": 0.56, "val_loss": 0.699297308921814, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6840296685695648, "train_acc": 0.56, "val_loss": 0.6973192095756531, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6852685213088989, "train_acc": 0.56, "val_loss": 0.6895206570625305, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.687006950378418, "train_acc": 0.56, "val_loss": 0.6846728324890137, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6668919026851654, "train_acc": 0.56, "val_loss": 0.6431814432144165, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.7104918360710144, "train_acc": 0.535, "val_loss": 0.6373505592346191, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6418123841285706, "train_acc": 0.675, "val_loss": 0.6539454460144043, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6759756803512573, "train_acc": 0.615, "val_loss": 0.6550518870353699, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6577900350093842, "train_acc": 0.62, "val_loss": 0.6368038654327393, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.637892335653305, "train_acc": 0.685, "val_loss": 0.6468774676322937, "val_acc": 0.6}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.6437292695045471, "train_acc": 0.66, "val_loss": 0.6418487429618835, "val_acc": 0.62}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.6193534433841705, "train_acc": 0.675, "val_loss": 0.6160657405853271, "val_acc": 0.6}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.5882792472839355, "train_acc": 0.675, "val_loss": 0.6270752549171448, "val_acc": 0.62}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.5728068053722382, "train_acc": 0.68, "val_loss": 0.645336925983429, "val_acc": 0.58}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.5616099387407303, "train_acc": 0.72, "val_loss": 0.7192018032073975, "val_acc": 0.62}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.699297308921814, "final_val_loss": 0.6431814432144165, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6373505592346191, "final_val_loss": 0.7192018032073975, "initial_val_acc": 0.64, "final_val_acc": 0.62, "best_val_acc": 0.68, "best_epoch": 8}, "improvement": 0.16000000000000003, "first_improvement_epoch": 4}}
|
35
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4009, "learning_rate": 0.03724346377980019, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
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[
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[
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[
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],
[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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],
[
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],
[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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"network.6.weight": [
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[
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"network.6.bias": [
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"network.8.weight": [
[
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[
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.069717, 0.933623, 2.457832, 0.526879, 0.566275, 1.481592, 0.753698]
std: [1.446107, 1.672791, 2.080776, 1.417674, 1.273574, 1.515396, 0.830746]
pca: [[0.098778, -0.162193, 0.731826, -0.619030, 0.028183, -0.125356, 0.169294, 0.000000, 0.000000, 0.000000], [0.617883, 0.086636, 0.050778, 0.111495, -0.062414, -0.578392, -0.507221, 0.000000, 0.000000, 0.000000], [0.001602, 0.975136, 0.058878, -0.177476, -0.067320, 0.054571, 0.081447, 0.000000, 0.000000, 0.000000], [0.289374, 0.053697, 0.528969, 0.695755, -0.025446, 0.226736, 0.312153, 0.000000, 0.000000, 0.000000], [0.406310, -0.087278, -0.352568, -0.151427, -0.511034, -0.138465, 0.632243, 0.000000, 0.000000, 0.000000], [0.528639, 0.000875, -0.231004, -0.181254, 0.720212, 0.310620, 0.138328, 0.000000, 0.000000, 0.000000], [0.283156, -0.069258, 0.030169, -0.181698, -0.458552, 0.692607, -0.437181, 0.000000, 0.000000, 0.000000]]
fourier: [[20.834008, 26.047497, 26.256877, 27.330735, 96.274546], [24.711899, 25.532586, 26.012647, 28.677786, 84.026064], [32.681048, 32.801358, 35.880754, 40.678193, 221.204843], [21.931343, 22.895788, 26.484352, 29.260658, 47.419156], [20.553583, 20.724395, 22.045278, 22.821511, 50.964741], [22.824750, 25.087882, 25.871147, 26.731026, 133.343312], [12.406184, 12.710696, 13.744245, 15.779018, 67.832800]]
### 2
mean: [2.429103, -0.638727, -0.497137, -0.551002, -0.554445, -0.396160, 0.080682]
std: [2.229579, 1.241671, 2.332686, 1.654632, 1.180325, 1.007116, 1.670297]
pca: [[-0.481390, 0.534884, -0.671016, 0.086181, 0.136824, 0.044409, 0.061478, 0.000000, 0.000000, 0.000000], [0.296166, 0.203887, -0.006955, -0.047648, 0.201195, 0.777209, -0.473143, 0.000000, 0.000000, 0.000000], [0.550473, 0.417269, -0.230012, -0.370295, -0.546739, -0.180653, 0.035811, 0.000000, 0.000000, 0.000000], [0.403456, 0.127730, -0.102786, 0.023390, 0.686508, -0.521494, -0.257967, 0.000000, 0.000000, 0.000000], [0.278483, 0.207085, 0.129817, 0.036468, 0.326613, 0.262538, 0.828118, 0.000000, 0.000000, 0.000000], [0.236975, 0.170734, 0.024810, 0.919432, -0.252782, -0.045174, -0.052744, 0.000000, 0.000000, 0.000000], [-0.284680, 0.640208, 0.684654, -0.077142, 0.002758, -0.135706, -0.126357, 0.000000, 0.000000, 0.000000]]
fourier: [[32.476182, 33.761604, 37.977273, 38.392492, 218.619303], [18.813188, 19.742034, 20.881308, 24.420476, 57.485409], [36.520279, 39.138361, 40.322761, 44.742300, 47.264982], [23.863906, 25.854753, 26.647669, 32.483085, 49.590146], [18.364602, 18.949086, 19.874056, 20.957741, 49.900086], [14.501317, 17.143038, 18.578080, 19.770206, 35.654358], [23.052912, 23.279805, 23.657844, 33.026783, 34.898208]]
### 4
mean: [0.744940, 0.905125, 0.383933, 0.634697, -1.465185, -0.864750, 1.348907]
std: [1.991387, 2.178721, 1.361497, 1.808623, 1.275596, 2.430198, 2.154943]
pca: [[-0.412203, -0.037389, -0.158869, 0.452885, -0.371211, 0.632737, 0.245342, 0.000000, 0.000000, 0.000000], [-0.439466, 0.109170, 0.862720, -0.210312, -0.057251, 0.037482, 0.041862, 0.000000, 0.000000, 0.000000], [0.245056, -0.422235, 0.257594, 0.204772, 0.598733, 0.492650, -0.228459, 0.000000, 0.000000, 0.000000], [0.349629, -0.399747, 0.342611, 0.533337, -0.407160, -0.372369, 0.108138, 0.000000, 0.000000, 0.000000], [0.105534, 0.747124, 0.124720, 0.575528, 0.264920, -0.078719, -0.086608, 0.000000, 0.000000, 0.000000], [0.500002, 0.186145, 0.130017, -0.226149, 0.030672, 0.253392, 0.762989, 0.000000, 0.000000, 0.000000], [-0.439916, -0.236132, -0.119493, 0.204715, 0.513362, -0.382717, 0.533400, 0.000000, 0.000000, 0.000000]]
fourier: [[29.671175, 30.128064, 33.003261, 42.454516, 67.044624], [32.612891, 36.768787, 39.791099, 40.853745, 81.461220], [22.900853, 23.132502, 25.015271, 27.652702, 34.553947], [29.821619, 30.140415, 31.748333, 39.622895, 57.122761], [18.355946, 18.933530, 20.410174, 24.869530, 131.866617], [34.549696, 37.225548, 40.145371, 50.804482, 77.827480], [31.127454, 33.438673, 35.738541, 44.973280, 121.401664]]
### 6
mean: [2.045853, 1.537065, -1.423212, -0.204708, 0.088594, -0.632459, 0.160511]
std: [2.892410, 1.448765, 2.295389, 2.361664, 1.633271, 1.292045, 1.159720]
pca: [[0.569560, -0.182518, 0.177058, 0.588328, 0.292654, -0.368992, -0.207382, 0.000000, 0.000000, 0.000000], [0.279554, -0.245140, 0.736764, -0.240164, -0.227550, 0.430396, -0.155682, 0.000000, 0.000000, 0.000000], [-0.439304, 0.489797, 0.314512, 0.578804, -0.198903, 0.146595, -0.268564, 0.000000, 0.000000, 0.000000], [-0.453203, -0.483373, 0.311186, 0.257408, 0.248279, -0.029270, 0.579105, 0.000000, 0.000000, 0.000000], [-0.303862, -0.477537, -0.013278, -0.057578, -0.505758, -0.500492, -0.412131, 0.000000, 0.000000, 0.000000], [-0.249162, 0.234326, 0.377615, -0.426526, 0.576117, -0.385516, -0.279212, 0.000000, 0.000000, 0.000000], [-0.211317, -0.387419, -0.295475, 0.098382, 0.416736, 0.507092, -0.526741, 0.000000, 0.000000, 0.000000]]
fourier: [[42.702579, 44.734839, 48.469136, 59.964425, 184.126749], [20.978013, 21.279113, 24.116663, 28.667099, 138.335842], [33.625223, 35.625739, 37.962852, 46.852306, 128.089052], [36.754293, 37.040521, 39.513123, 44.446331, 46.621526], [26.435934, 27.541870, 28.153038, 30.754663, 32.336469], [18.478216, 19.844063, 21.499476, 27.478573, 56.921331], [18.938935, 19.922850, 20.943663, 21.217808, 23.541011]]
### 8
mean: [-0.784255, 0.668689, -0.067448, 0.465814, 0.407623, -0.066443, 2.560936]
std: [2.348942, 1.828508, 2.107932, 2.566712, 3.044506, 2.155907, 3.156385]
pca: [[-0.355393, -0.335333, 0.474813, -0.379433, -0.310376, -0.528295, -0.128072, 0.000000, 0.000000, 0.000000], [0.278982, -0.022332, 0.359507, -0.519922, -0.189762, 0.675941, -0.170881, 0.000000, 0.000000, 0.000000], [-0.317074, 0.390002, 0.409789, 0.284437, -0.349193, 0.193757, 0.582283, 0.000000, 0.000000, 0.000000], [0.390600, -0.207240, 0.360175, 0.665701, -0.282956, -0.025218, -0.388458, 0.000000, 0.000000, 0.000000], [0.460488, -0.444194, 0.255752, -0.041021, 0.336359, -0.118733, 0.629537, 0.000000, 0.000000, 0.000000], [-0.328667, 0.098638, 0.487143, 0.133058, 0.740427, 0.126586, -0.250957, 0.000000, 0.000000, 0.000000], [0.471899, 0.696395, 0.211985, -0.205579, 0.065485, -0.442390, -0.071752, 0.000000, 0.000000, 0.000000]]
fourier: [[33.815836, 39.805731, 41.201749, 46.962444, 70.582979], [29.015746, 30.877474, 34.964262, 35.069655, 60.182059], [34.204344, 35.165492, 36.952173, 38.384627, 42.031521], [41.923275, 42.794166, 43.299151, 47.947021, 50.088728], [48.837278, 51.027908, 52.799338, 55.633794, 60.662953], [33.648367, 34.504659, 36.370078, 41.125727, 41.523910], [44.663922, 53.301934, 53.367846, 63.256546, 230.484246]]
### 10
mean: [-2.575094]
std: [3.375310]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.872238, 57.301668, 57.932692, 66.968713, 231.758503]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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],
[
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],
[
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],
[
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],
[
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],
[
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0.207009
]
],
"network.0.bias": [
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0.161433,
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],
"network.2.weight": [
[
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[
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[
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],
[
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],
[
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],
[
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0.131653
]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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],
[
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],
[
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]
],
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],
"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.069717, 0.933623, 2.457832, 0.526879, 0.566275, 1.481592, 0.753698]
std: [1.446107, 1.672791, 2.080776, 1.417674, 1.273574, 1.515396, 0.830746]
pca: [[0.098778, -0.162193, 0.731826, -0.619030, 0.028183, -0.125356, 0.169294, 0.000000, 0.000000, 0.000000], [0.617883, 0.086636, 0.050778, 0.111495, -0.062414, -0.578392, -0.507221, 0.000000, 0.000000, 0.000000], [0.001602, 0.975136, 0.058878, -0.177476, -0.067320, 0.054571, 0.081447, 0.000000, 0.000000, 0.000000], [0.289374, 0.053697, 0.528969, 0.695755, -0.025446, 0.226736, 0.312153, 0.000000, 0.000000, 0.000000], [0.406310, -0.087278, -0.352568, -0.151427, -0.511034, -0.138465, 0.632243, 0.000000, 0.000000, 0.000000], [0.528639, 0.000875, -0.231004, -0.181254, 0.720212, 0.310620, 0.138328, 0.000000, 0.000000, 0.000000], [0.283156, -0.069258, 0.030169, -0.181698, -0.458552, 0.692607, -0.437181, 0.000000, 0.000000, 0.000000]]
fourier: [[20.834008, 26.047497, 26.256877, 27.330735, 96.274546], [24.711899, 25.532586, 26.012647, 28.677786, 84.026064], [32.681048, 32.801358, 35.880754, 40.678193, 221.204843], [21.931343, 22.895788, 26.484352, 29.260658, 47.419156], [20.553583, 20.724395, 22.045278, 22.821511, 50.964741], [22.824750, 25.087882, 25.871147, 26.731026, 133.343312], [12.406184, 12.710696, 13.744245, 15.779018, 67.832800]]
### 2
mean: [2.429103, -0.638727, -0.497137, -0.551002, -0.554445, -0.396160, 0.080682]
std: [2.229579, 1.241671, 2.332686, 1.654632, 1.180325, 1.007116, 1.670297]
pca: [[-0.481390, 0.534884, -0.671016, 0.086181, 0.136824, 0.044409, 0.061478, 0.000000, 0.000000, 0.000000], [0.296166, 0.203887, -0.006955, -0.047648, 0.201195, 0.777209, -0.473143, 0.000000, 0.000000, 0.000000], [0.550473, 0.417269, -0.230012, -0.370295, -0.546739, -0.180653, 0.035811, 0.000000, 0.000000, 0.000000], [0.403456, 0.127730, -0.102786, 0.023390, 0.686508, -0.521494, -0.257967, 0.000000, 0.000000, 0.000000], [0.278483, 0.207085, 0.129817, 0.036468, 0.326613, 0.262538, 0.828118, 0.000000, 0.000000, 0.000000], [0.236975, 0.170734, 0.024810, 0.919432, -0.252782, -0.045174, -0.052744, 0.000000, 0.000000, 0.000000], [-0.284680, 0.640208, 0.684654, -0.077142, 0.002758, -0.135706, -0.126357, 0.000000, 0.000000, 0.000000]]
fourier: [[32.476182, 33.761604, 37.977273, 38.392492, 218.619303], [18.813188, 19.742034, 20.881308, 24.420476, 57.485409], [36.520279, 39.138361, 40.322761, 44.742300, 47.264982], [23.863906, 25.854753, 26.647669, 32.483085, 49.590146], [18.364602, 18.949086, 19.874056, 20.957741, 49.900086], [14.501317, 17.143038, 18.578080, 19.770206, 35.654358], [23.052912, 23.279805, 23.657844, 33.026783, 34.898208]]
### 4
mean: [0.744940, 0.905125, 0.383933, 0.634697, -1.465185, -0.864750, 1.348907]
std: [1.991387, 2.178721, 1.361497, 1.808623, 1.275596, 2.430198, 2.154943]
pca: [[-0.412203, -0.037389, -0.158869, 0.452885, -0.371211, 0.632737, 0.245342, 0.000000, 0.000000, 0.000000], [-0.439466, 0.109170, 0.862720, -0.210312, -0.057251, 0.037482, 0.041862, 0.000000, 0.000000, 0.000000], [0.245056, -0.422235, 0.257594, 0.204772, 0.598733, 0.492650, -0.228459, 0.000000, 0.000000, 0.000000], [0.349629, -0.399747, 0.342611, 0.533337, -0.407160, -0.372369, 0.108138, 0.000000, 0.000000, 0.000000], [0.105534, 0.747124, 0.124720, 0.575528, 0.264920, -0.078719, -0.086608, 0.000000, 0.000000, 0.000000], [0.500002, 0.186145, 0.130017, -0.226149, 0.030672, 0.253392, 0.762989, 0.000000, 0.000000, 0.000000], [-0.439916, -0.236132, -0.119493, 0.204715, 0.513362, -0.382717, 0.533400, 0.000000, 0.000000, 0.000000]]
fourier: [[29.671175, 30.128064, 33.003261, 42.454516, 67.044624], [32.612891, 36.768787, 39.791099, 40.853745, 81.461220], [22.900853, 23.132502, 25.015271, 27.652702, 34.553947], [29.821619, 30.140415, 31.748333, 39.622895, 57.122761], [18.355946, 18.933530, 20.410174, 24.869530, 131.866617], [34.549696, 37.225548, 40.145371, 50.804482, 77.827480], [31.127454, 33.438673, 35.738541, 44.973280, 121.401664]]
### 6
mean: [2.045853, 1.537065, -1.423212, -0.204708, 0.088594, -0.632459, 0.160511]
std: [2.892410, 1.448765, 2.295389, 2.361664, 1.633271, 1.292045, 1.159720]
pca: [[0.569560, -0.182518, 0.177058, 0.588328, 0.292654, -0.368992, -0.207382, 0.000000, 0.000000, 0.000000], [0.279554, -0.245140, 0.736764, -0.240164, -0.227550, 0.430396, -0.155682, 0.000000, 0.000000, 0.000000], [-0.439304, 0.489797, 0.314512, 0.578804, -0.198903, 0.146595, -0.268564, 0.000000, 0.000000, 0.000000], [-0.453203, -0.483373, 0.311186, 0.257408, 0.248279, -0.029270, 0.579105, 0.000000, 0.000000, 0.000000], [-0.303862, -0.477537, -0.013278, -0.057578, -0.505758, -0.500492, -0.412131, 0.000000, 0.000000, 0.000000], [-0.249162, 0.234326, 0.377615, -0.426526, 0.576117, -0.385516, -0.279212, 0.000000, 0.000000, 0.000000], [-0.211317, -0.387419, -0.295475, 0.098382, 0.416736, 0.507092, -0.526741, 0.000000, 0.000000, 0.000000]]
fourier: [[42.702579, 44.734839, 48.469136, 59.964425, 184.126749], [20.978013, 21.279113, 24.116663, 28.667099, 138.335842], [33.625223, 35.625739, 37.962852, 46.852306, 128.089052], [36.754293, 37.040521, 39.513123, 44.446331, 46.621526], [26.435934, 27.541870, 28.153038, 30.754663, 32.336469], [18.478216, 19.844063, 21.499476, 27.478573, 56.921331], [18.938935, 19.922850, 20.943663, 21.217808, 23.541011]]
### 8
mean: [-0.784255, 0.668689, -0.067448, 0.465814, 0.407623, -0.066443, 2.560936]
std: [2.348942, 1.828508, 2.107932, 2.566712, 3.044506, 2.155907, 3.156385]
pca: [[-0.355393, -0.335333, 0.474813, -0.379433, -0.310376, -0.528295, -0.128072, 0.000000, 0.000000, 0.000000], [0.278982, -0.022332, 0.359507, -0.519922, -0.189762, 0.675941, -0.170881, 0.000000, 0.000000, 0.000000], [-0.317074, 0.390002, 0.409789, 0.284437, -0.349193, 0.193757, 0.582283, 0.000000, 0.000000, 0.000000], [0.390600, -0.207240, 0.360175, 0.665701, -0.282956, -0.025218, -0.388458, 0.000000, 0.000000, 0.000000], [0.460488, -0.444194, 0.255752, -0.041021, 0.336359, -0.118733, 0.629537, 0.000000, 0.000000, 0.000000], [-0.328667, 0.098638, 0.487143, 0.133058, 0.740427, 0.126586, -0.250957, 0.000000, 0.000000, 0.000000], [0.471899, 0.696395, 0.211985, -0.205579, 0.065485, -0.442390, -0.071752, 0.000000, 0.000000, 0.000000]]
fourier: [[33.815836, 39.805731, 41.201749, 46.962444, 70.582979], [29.015746, 30.877474, 34.964262, 35.069655, 60.182059], [34.204344, 35.165492, 36.952173, 38.384627, 42.031521], [41.923275, 42.794166, 43.299151, 47.947021, 50.088728], [48.837278, 51.027908, 52.799338, 55.633794, 60.662953], [33.648367, 34.504659, 36.370078, 41.125727, 41.523910], [44.663922, 53.301934, 53.367846, 63.256546, 230.484246]]
### 10
mean: [-2.575094]
std: [3.375310]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.872238, 57.301668, 57.932692, 66.968713, 231.758503]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.282634, -0.198983, 0.624561, 0.400067, -0.375962], [-0.236889, 0.187467, -0.262874, 0.593983, 0.327935], [0.673426, 0.493533, 0.087957, 0.153823, 0.168902], [-0.09053, 0.281489, -0.255781, 0.431548, -0.361237], [-0.328964, 0.085663, -0.193263, 0.173991, 0.558417], [-0.115887, -0.151176, -0.221498, 0.517255, 0.480263], [-0.286195, 0.074427, 0.031021, 0.217852, 0.207009]], "network.0.bias": [0.085158, -0.242293, -0.001446, 0.180994, 0.161433, 0.662419, 0.186946], "network.2.weight": [[0.154126, 0.464844, 0.079907, 0.533538, 0.248538, 0.59726, 0.196855], [-0.458369, 0.00732, 0.241183, -0.311848, -0.555458, -0.118074, -0.081862], [-0.600101, -0.522887, 0.601124, -0.270739, -0.626756, 0.09528, -0.481103], [-0.367422, -0.665466, 0.339631, 0.115299, -0.180977, -0.001278, -0.408505], [-0.429905, -0.126874, 0.188817, -0.253556, -0.302349, -0.051822, -0.255917], [-0.349857, -0.273093, 0.183296, -0.167905, -0.555981, 0.293268, -0.204178], [-0.399388, 0.465362, -0.209124, -0.459014, 0.401579, 0.388864, 0.131653]], "network.2.bias": [-0.022741, 0.118471, 0.128582, 0.106982, 0.258438, 0.068033, -0.086917], "network.4.weight": [[0.355674, -0.750434, -0.263474, -0.345603, -0.445352, -0.027705, 0.470243], [0.535997, -0.185556, -0.52314, -0.410431, -0.62577, -0.348615, -0.075683], [0.081989, 0.411579, 0.434569, 0.491417, 0.29385, 0.055747, -0.340329], [-0.013555, 0.639346, 0.663612, 0.222826, 0.063419, 0.470829, -0.478943], [-0.501682, -0.469655, -0.057672, 0.064259, -0.392517, -0.714935, -0.198442], [-0.5255, 0.468321, 0.335842, 0.453595, 0.303324, 0.218768, -0.542598], [0.500826, -0.145675, -0.317542, -0.247936, -0.388133, -0.353308, 0.484167]], "network.4.bias": [0.1222, 0.319512, -0.183083, 0.248188, 0.060758, 0.152068, 0.324497], "network.6.weight": [[0.354364, 0.449114, -0.475604, -0.331808, 0.043251, -0.16159, 0.562414], [0.434618, 0.521919, 0.004286, -0.056398, -0.017153, -0.305595, -0.038969], [-0.43655, -0.283865, 0.425592, -0.25978, -0.418314, 0.439819, -0.573], [-0.224955, -0.111488, 0.420482, 0.31991, -0.422842, 0.646939, -0.287126], [0.074323, -0.121869, 0.508346, 0.224723, -0.239137, 0.310235, -0.246107], [-0.541011, -0.13721, 0.273192, 0.010309, -0.084016, 0.062069, -0.081088], [-0.057939, -0.139797, -0.115672, 0.45876, -0.076056, 0.35828, -0.002622]], "network.6.bias": [0.724452, 0.573484, 0.130384, -0.169376, -0.057877, 0.113172, -0.072988], "network.8.weight": [[-0.53888, -0.155314, 0.448422, 0.058431, 0.3845, -0.333524, 0.473319], [0.280315, 0.155055, -0.103577, -0.375451, 0.092367, -0.384976, -0.449178], [-0.416737, 0.253643, 0.167617, 0.597222, 0.235732, -0.233131, 0.377829], [0.258695, 0.318939, -0.182697, -0.617933, -0.22699, 0.359784, -0.505784], [0.386485, 0.102657, -0.408664, -0.685305, -0.509645, 0.190817, -0.305803], [-0.504401, 0.184265, -0.081796, 0.346219, 0.317841, -0.16, 0.640868], [0.650651, 0.529038, -0.248498, -0.401571, -0.208507, -0.38583, -0.066392]], "network.8.bias": [0.297883, 0.206463, -0.138631, 0.087106, 0.250774, 0.283054, 0.675193], "network.10.weight": [[0.189611, -0.302498, 0.467849, -0.201704, -0.287127, 0.171553, -0.674241]], "network.10.bias": [-0.076181]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6906745433807373, "train_acc": 0.5, "val_loss": 0.6828798055648804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782574653625488, "train_acc": 0.56, "val_loss": 0.6593039035797119, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6559266746044159, "train_acc": 0.56, "val_loss": 0.5425951480865479, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5033736228942871, "train_acc": 0.725, "val_loss": 0.28123825788497925, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.29232533276081085, "train_acc": 0.915, "val_loss": 0.4037594497203827, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2910832464694977, "train_acc": 0.905, "val_loss": 0.2391023188829422, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2645702138543129, "train_acc": 0.94, "val_loss": 0.23133671283721924, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.21753914654254913, "train_acc": 0.945, "val_loss": 0.24256442487239838, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2255006730556488, "train_acc": 0.945, "val_loss": 0.24991042912006378, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.22678017616271973, "train_acc": 0.945, "val_loss": 0.25130629539489746, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6828798055648804, "final_val_loss": 0.5425951480865479, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.28123825788497925, "final_val_loss": 0.25130629539489746, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
36
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1496, "learning_rate": 0.08248469519525602, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.110833,
0.006572,
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-0.030216
],
[
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-0.295182,
-0.58183,
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],
[
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-0.038391,
0.01257,
0.023413,
1.068061
],
[
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0.075626,
0.33326,
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],
[
-0.63142,
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0.047573,
0.05786
],
[
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-0.322243,
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0.963899
]
],
"network.0.bias": [
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"network.2.weight": [
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],
[
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[
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[
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[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.154415, -5.030876, 2.149185, 0.071275, -1.537637, 0.587711]
std: [0.724594, 3.318027, 2.476504, 1.567321, 1.506194, 2.515080]
pca: [[0.035830, 0.002853, -0.400499, -0.354334, -0.512916, 0.670577, 0.000000, 0.000000, 0.000000, 0.000000], [0.764420, 0.211753, -0.476538, -0.103719, 0.345389, -0.116975, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561904, 0.172057, -0.423804, -0.009473, 0.638447, 0.259511, 0.000000, 0.000000, 0.000000, 0.000000], [0.198750, -0.336966, 0.509738, -0.500425, 0.445602, 0.371663, 0.000000, 0.000000, 0.000000, 0.000000], [0.229049, 0.309274, 0.280607, 0.665152, 0.083077, 0.569049, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081711, 0.846376, 0.307132, -0.413217, -0.067421, -0.085716, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.788455, 10.415550, 11.455623, 11.935798, 103.897322], [54.001270, 55.600726, 61.055438, 69.090818, 452.778845], [41.687769, 45.081061, 53.635517, 54.605388, 193.426652], [22.537446, 23.054935, 24.468050, 28.528586, 32.737504], [24.675260, 27.145077, 29.259164, 29.915288, 138.387309], [36.276091, 37.053586, 37.088014, 52.893961, 54.085283]]
### 2
mean: [-1.885888, -2.546835, -0.141641, -1.635991, 2.566692, -0.371437]
std: [1.699857, 1.637186, 0.809020, 2.321148, 3.283439, 0.403410]
pca: [[-0.360946, -0.200862, -0.254067, -0.170540, 0.682755, -0.519215, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347842, 0.168813, -0.269111, 0.400489, 0.386208, 0.684499, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127934, 0.756636, 0.460729, 0.273386, 0.153568, -0.317080, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489465, -0.389067, 0.734106, -0.155131, 0.023460, 0.213363, 0.000000, 0.000000, 0.000000, 0.000000], [0.699421, -0.189063, 0.334180, 0.124102, 0.573752, 0.137102, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059925, -0.414174, 0.013063, 0.834456, -0.177101, -0.311474, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.977934, 28.301237, 37.465182, 38.202809, 169.729970], [25.931927, 26.264177, 35.534067, 36.308266, 229.215169], [12.103776, 12.403862, 12.747690, 13.106111, 15.271205], [36.314983, 39.550365, 51.388245, 51.817289, 147.239194], [52.025284, 53.061908, 71.298901, 73.295475, 231.002266], [6.378528, 6.429585, 6.897796, 8.320192, 33.429326]]
### 4
mean: [-2.197256, 1.954794, 2.357015, 2.316064, 1.765939, 2.003757]
std: [1.572668, 3.267102, 2.699246, 3.412960, 2.836794, 2.948529]
pca: [[-0.224737, -0.346058, 0.607441, 0.233615, 0.598349, -0.219445, 0.000000, 0.000000, 0.000000, 0.000000], [0.467781, -0.266739, 0.308179, 0.244288, -0.116879, 0.736016, 0.000000, 0.000000, 0.000000, 0.000000], [0.385900, 0.651638, 0.502330, -0.387729, 0.137996, -0.068831, 0.000000, 0.000000, 0.000000, 0.000000], [0.488480, -0.497885, -0.269648, -0.555867, 0.334826, -0.140325, 0.000000, 0.000000, 0.000000, 0.000000], [0.406181, -0.216127, 0.237065, 0.264226, -0.539670, -0.609137, 0.000000, 0.000000, 0.000000, 0.000000], [0.422091, 0.299769, -0.393442, 0.597169, 0.453788, -0.121028, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.199849, 25.324468, 33.384354, 36.661582, 197.752995], [51.496628, 51.555386, 71.541195, 73.729836, 175.931411], [41.009088, 42.083309, 57.539411, 61.795121, 212.131326], [53.965054, 54.003540, 74.577324, 77.527716, 208.445751], [44.794162, 44.903798, 62.119299, 63.997397, 158.934504], [45.749888, 46.887597, 63.784333, 67.671334, 180.338155]]
### 6
mean: [9.309944, -5.807937, -0.763987, -3.015715, -6.136914, -4.392753]
std: [12.488698, 8.196815, 0.085999, 2.588048, 9.096607, 6.123919]
pca: [[0.667457, 0.409631, -0.159676, -0.240498, 0.476019, -0.277081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438077, 0.189944, 0.682392, -0.220169, 0.489227, -0.136138, 0.000000, 0.000000, 0.000000, 0.000000], [0.002479, 0.489518, 0.201461, 0.620052, -0.323453, -0.480306, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138259, 0.543484, -0.170122, 0.302909, 0.237238, 0.713115, 0.000000, 0.000000, 0.000000, 0.000000], [-0.486169, -0.098390, -0.609701, 0.199025, 0.433379, -0.393440, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327272, 0.501439, -0.259965, -0.614701, -0.430514, -0.103301, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.921230, 193.979520, 266.967854, 292.482520, 837.894970], [124.003793, 126.450109, 174.724504, 192.151445, 522.714353], [1.328303, 1.481585, 1.590659, 1.665789, 68.758804], [38.991503, 39.574831, 55.011033, 60.206558, 271.414354], [138.530847, 141.237320, 194.626070, 212.562792, 552.322262], [92.726892, 94.188809, 130.723980, 142.981942, 395.347811]]
### 8
mean: [-1.376768, -0.606911, -0.922326, -5.456654, 8.062395, -2.923392]
std: [3.361383, 2.119458, 1.451835, 6.343141, 10.589917, 4.742521]
pca: [[-0.241001, 0.611726, -0.499094, -0.407916, 0.216500, 0.324572, 0.000000, 0.000000, 0.000000, 0.000000], [-0.150704, 0.611736, 0.580462, 0.373961, -0.242686, 0.259592, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104646, -0.031621, 0.157389, 0.338364, 0.920629, 0.035070, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456783, -0.500381, 0.077390, -0.048097, -0.092241, 0.723987, 0.000000, 0.000000, 0.000000, 0.000000], [0.763371, 0.012605, -0.232092, 0.279028, 0.003980, 0.534197, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341861, 0.005496, -0.573883, 0.706469, -0.195318, -0.128498, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.199457, 55.148934, 73.499369, 74.818708, 123.909141], [34.787351, 35.660470, 44.679897, 47.606739, 54.621965], [22.126596, 22.612975, 31.058723, 33.979241, 83.009349], [95.021510, 96.906595, 134.167209, 150.646390, 491.098864], [162.512633, 165.807647, 227.704060, 246.215184, 725.615481], [72.966013, 74.225857, 102.233605, 110.034315, 263.105300]]
### 10
mean: [-4.085670]
std: [6.908154]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.350174, 113.995246, 149.681143, 155.392943, 367.710334]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.127447,
-0.110833,
0.006572,
-0.282612,
-0.030216
],
[
-0.675057,
-0.518487,
-0.295182,
-0.58183,
-0.848573
],
[
0.582923,
-0.038391,
0.01257,
0.023413,
1.068061
],
[
-0.081548,
0.075626,
0.33326,
0.215332,
-0.82461
],
[
-0.63142,
-0.0564,
-0.225978,
0.047573,
0.05786
],
[
-0.862311,
-0.322243,
0.4371,
-0.096534,
0.963899
]
],
"network.0.bias": [
-0.481471,
-0.335129,
0.099985,
-0.105943,
-0.350432,
0.353156
],
"network.2.weight": [
[
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0.151914,
0.286508,
-0.225467
],
[
-0.002771,
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0.187707,
0.409295,
-0.383181
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[
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0.037533,
0.350455,
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[
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0.669002,
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-0.225005
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[
-0.866257,
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0.965469,
-0.410191,
-1.300337,
0.682916
],
[
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-0.156498,
0.066842,
-0.561077,
0.129044
]
],
"network.2.bias": [
-0.465694,
-1.198349,
0.1726,
-0.224418,
-0.266641,
-0.357861
],
"network.4.weight": [
[
0.190556,
0.537165,
0.092896,
-0.349492,
-0.500859,
0.174213
],
[
0.941436,
0.623963,
-0.354086,
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0.968656,
0.087227
],
[
0.503943,
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0.81758,
0.532511
],
[
0.176977,
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1.040825,
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],
[
0.781354,
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0.841705,
0.149396
],
[
0.623241,
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0.501907,
0.892195,
-0.579194
]
],
"network.4.bias": [
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0.346583,
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],
"network.6.weight": [
[
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0.843597,
0.850536,
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],
[
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[
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0.324777
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[
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0.055053,
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[
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[
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]
],
"network.6.bias": [
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0.21688,
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0.582885,
0.077809
],
"network.8.weight": [
[
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],
[
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[
-0.116373,
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],
[
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],
[
0.83889,
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],
[
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0.118331,
0.238566
]
],
"network.8.bias": [
0.440555,
0.225598,
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0.394345
],
"network.10.weight": [
[
0.502757,
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0.027416,
-0.012092,
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0.371187
]
],
"network.10.bias": [
-0.095633
]
}
## Activation Signature
### 0
mean: [-1.154415, -5.030876, 2.149185, 0.071275, -1.537637, 0.587711]
std: [0.724594, 3.318027, 2.476504, 1.567321, 1.506194, 2.515080]
pca: [[0.035830, 0.002853, -0.400499, -0.354334, -0.512916, 0.670577, 0.000000, 0.000000, 0.000000, 0.000000], [0.764420, 0.211753, -0.476538, -0.103719, 0.345389, -0.116975, 0.000000, 0.000000, 0.000000, 0.000000], [-0.561904, 0.172057, -0.423804, -0.009473, 0.638447, 0.259511, 0.000000, 0.000000, 0.000000, 0.000000], [0.198750, -0.336966, 0.509738, -0.500425, 0.445602, 0.371663, 0.000000, 0.000000, 0.000000, 0.000000], [0.229049, 0.309274, 0.280607, 0.665152, 0.083077, 0.569049, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081711, 0.846376, 0.307132, -0.413217, -0.067421, -0.085716, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.788455, 10.415550, 11.455623, 11.935798, 103.897322], [54.001270, 55.600726, 61.055438, 69.090818, 452.778845], [41.687769, 45.081061, 53.635517, 54.605388, 193.426652], [22.537446, 23.054935, 24.468050, 28.528586, 32.737504], [24.675260, 27.145077, 29.259164, 29.915288, 138.387309], [36.276091, 37.053586, 37.088014, 52.893961, 54.085283]]
### 2
mean: [-1.885888, -2.546835, -0.141641, -1.635991, 2.566692, -0.371437]
std: [1.699857, 1.637186, 0.809020, 2.321148, 3.283439, 0.403410]
pca: [[-0.360946, -0.200862, -0.254067, -0.170540, 0.682755, -0.519215, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347842, 0.168813, -0.269111, 0.400489, 0.386208, 0.684499, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127934, 0.756636, 0.460729, 0.273386, 0.153568, -0.317080, 0.000000, 0.000000, 0.000000, 0.000000], [-0.489465, -0.389067, 0.734106, -0.155131, 0.023460, 0.213363, 0.000000, 0.000000, 0.000000, 0.000000], [0.699421, -0.189063, 0.334180, 0.124102, 0.573752, 0.137102, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059925, -0.414174, 0.013063, 0.834456, -0.177101, -0.311474, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.977934, 28.301237, 37.465182, 38.202809, 169.729970], [25.931927, 26.264177, 35.534067, 36.308266, 229.215169], [12.103776, 12.403862, 12.747690, 13.106111, 15.271205], [36.314983, 39.550365, 51.388245, 51.817289, 147.239194], [52.025284, 53.061908, 71.298901, 73.295475, 231.002266], [6.378528, 6.429585, 6.897796, 8.320192, 33.429326]]
### 4
mean: [-2.197256, 1.954794, 2.357015, 2.316064, 1.765939, 2.003757]
std: [1.572668, 3.267102, 2.699246, 3.412960, 2.836794, 2.948529]
pca: [[-0.224737, -0.346058, 0.607441, 0.233615, 0.598349, -0.219445, 0.000000, 0.000000, 0.000000, 0.000000], [0.467781, -0.266739, 0.308179, 0.244288, -0.116879, 0.736016, 0.000000, 0.000000, 0.000000, 0.000000], [0.385900, 0.651638, 0.502330, -0.387729, 0.137996, -0.068831, 0.000000, 0.000000, 0.000000, 0.000000], [0.488480, -0.497885, -0.269648, -0.555867, 0.334826, -0.140325, 0.000000, 0.000000, 0.000000, 0.000000], [0.406181, -0.216127, 0.237065, 0.264226, -0.539670, -0.609137, 0.000000, 0.000000, 0.000000, 0.000000], [0.422091, 0.299769, -0.393442, 0.597169, 0.453788, -0.121028, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.199849, 25.324468, 33.384354, 36.661582, 197.752995], [51.496628, 51.555386, 71.541195, 73.729836, 175.931411], [41.009088, 42.083309, 57.539411, 61.795121, 212.131326], [53.965054, 54.003540, 74.577324, 77.527716, 208.445751], [44.794162, 44.903798, 62.119299, 63.997397, 158.934504], [45.749888, 46.887597, 63.784333, 67.671334, 180.338155]]
### 6
mean: [9.309944, -5.807937, -0.763987, -3.015715, -6.136914, -4.392753]
std: [12.488698, 8.196815, 0.085999, 2.588048, 9.096607, 6.123919]
pca: [[0.667457, 0.409631, -0.159676, -0.240498, 0.476019, -0.277081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438077, 0.189944, 0.682392, -0.220169, 0.489227, -0.136138, 0.000000, 0.000000, 0.000000, 0.000000], [0.002479, 0.489518, 0.201461, 0.620052, -0.323453, -0.480306, 0.000000, 0.000000, 0.000000, 0.000000], [-0.138259, 0.543484, -0.170122, 0.302909, 0.237238, 0.713115, 0.000000, 0.000000, 0.000000, 0.000000], [-0.486169, -0.098390, -0.609701, 0.199025, 0.433379, -0.393440, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327272, 0.501439, -0.259965, -0.614701, -0.430514, -0.103301, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.921230, 193.979520, 266.967854, 292.482520, 837.894970], [124.003793, 126.450109, 174.724504, 192.151445, 522.714353], [1.328303, 1.481585, 1.590659, 1.665789, 68.758804], [38.991503, 39.574831, 55.011033, 60.206558, 271.414354], [138.530847, 141.237320, 194.626070, 212.562792, 552.322262], [92.726892, 94.188809, 130.723980, 142.981942, 395.347811]]
### 8
mean: [-1.376768, -0.606911, -0.922326, -5.456654, 8.062395, -2.923392]
std: [3.361383, 2.119458, 1.451835, 6.343141, 10.589917, 4.742521]
pca: [[-0.241001, 0.611726, -0.499094, -0.407916, 0.216500, 0.324572, 0.000000, 0.000000, 0.000000, 0.000000], [-0.150704, 0.611736, 0.580462, 0.373961, -0.242686, 0.259592, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104646, -0.031621, 0.157389, 0.338364, 0.920629, 0.035070, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456783, -0.500381, 0.077390, -0.048097, -0.092241, 0.723987, 0.000000, 0.000000, 0.000000, 0.000000], [0.763371, 0.012605, -0.232092, 0.279028, 0.003980, 0.534197, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341861, 0.005496, -0.573883, 0.706469, -0.195318, -0.128498, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.199457, 55.148934, 73.499369, 74.818708, 123.909141], [34.787351, 35.660470, 44.679897, 47.606739, 54.621965], [22.126596, 22.612975, 31.058723, 33.979241, 83.009349], [95.021510, 96.906595, 134.167209, 150.646390, 491.098864], [162.512633, 165.807647, 227.704060, 246.215184, 725.615481], [72.966013, 74.225857, 102.233605, 110.034315, 263.105300]]
### 10
mean: [-4.085670]
std: [6.908154]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.350174, 113.995246, 149.681143, 155.392943, 367.710334]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.1544146537780762, "std": 0.7245943546295166, "pca": [0.0358295664191246, 0.002852525096386671, -0.40049856901168823, -0.3543340861797333, -0.512916088104248, 0.6705769300460815, 0.0, 0.0, 0.0, 0.0], "fourier": [9.788455220959733, 10.415550153817343, 11.455623126216441, 11.935798080650626, 103.89732158184052]}, "1": {"mean": -5.030876159667969, "std": 3.3180267810821533, "pca": [0.7644199132919312, 0.21175289154052734, -0.47653788328170776, -0.1037188246846199, 0.3453892469406128, -0.11697539687156677, 0.0, 0.0, 0.0, 0.0], "fourier": [54.00126969222206, 55.60072648662276, 61.05543799878659, 69.09081844069345, 452.7788447737694]}, "2": {"mean": 2.1491851806640625, "std": 2.476504325866699, "pca": [-0.5619044303894043, 0.1720569133758545, -0.4238037168979645, -0.009473278187215328, 0.6384469270706177, 0.25951120257377625, 0.0, 0.0, 0.0, 0.0], "fourier": [41.68776913550877, 45.081060756535244, 53.635517376539724, 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"num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.127447, -0.110833, 0.006572, -0.282612, -0.030216], [-0.675057, -0.518487, -0.295182, -0.58183, -0.848573], [0.582923, -0.038391, 0.01257, 0.023413, 1.068061], [-0.081548, 0.075626, 0.33326, 0.215332, -0.82461], [-0.63142, -0.0564, -0.225978, 0.047573, 0.05786], [-0.862311, -0.322243, 0.4371, -0.096534, 0.963899]], "network.0.bias": [-0.481471, -0.335129, 0.099985, -0.105943, -0.350432, 0.353156], "network.2.weight": [[0.000733, 0.462488, -0.569758, 0.151914, 0.286508, -0.225467], [-0.002771, -0.023607, -0.455121, 0.187707, 0.409295, -0.383181], [0.47642, 0.298093, 0.037533, 0.350455, -0.017632, -0.4445], [-0.060741, 0.016774, -0.722069, 0.669002, 0.026457, -0.225005], [-0.866257, -0.028982, 0.965469, -0.410191, -1.300337, 0.682916], [-0.457734, -1.038405, -0.156498, 0.066842, -0.561077, 0.129044]], "network.2.bias": [-0.465694, -1.198349, 0.1726, -0.224418, -0.266641, -0.357861], "network.4.weight": [[0.190556, 0.537165, 0.092896, -0.349492, -0.500859, 0.174213], [0.941436, 0.623963, -0.354086, -0.037554, 0.968656, 0.087227], [0.503943, -0.019924, -0.832746, 0.752567, 0.81758, 0.532511], [0.176977, -0.296346, -0.065863, -0.305548, 1.040825, -0.330072], [0.781354, 0.710239, -0.261821, -0.027376, 0.841705, 0.149396], [0.623241, -0.130733, -0.458848, 0.501907, 0.892195, -0.579194]], "network.4.bias": [-0.804814, -0.389013, 0.346583, -0.389044, -0.262368, -0.314139], "network.6.weight": [[0.576269, 1.030478, 0.704647, 0.843597, 0.850536, 0.789694], [-0.155504, -1.14146, -0.626469, 0.067924, -0.676418, -0.472841], [1.159292, -0.061483, -0.382441, 0.213215, -0.159336, 0.324777], [0.398236, -0.541074, -0.594016, 0.166004, 0.055053, -0.00791], [-0.509788, -0.425952, -0.659345, -0.613508, -0.36421, -1.023284], [-0.665114, -0.423732, -0.636441, 0.408894, -1.050728, -0.540487]], "network.6.bias": [0.171666, 0.21688, -0.536513, -0.928346, 0.582885, 0.077809], "network.8.weight": [[-0.240538, 0.475696, 0.046969, -0.848566, 0.940554, 0.297658], [-0.143835, 0.780705, -0.817739, -0.396296, 0.586836, 0.70478], [-0.116373, -0.030171, 0.069309, -0.005829, -0.042638, 0.292827], [-0.520179, -0.046327, 0.253044, 0.33658, -0.446212, 0.185164], [0.83889, -0.360831, -0.607215, -0.037032, -0.315286, -0.813819], [-0.373559, 0.145437, -0.352573, -0.72288, 0.118331, 0.238566]], "network.8.bias": [0.440555, 0.225598, 0.175666, -0.36916, 0.290549, 0.394345], "network.10.weight": [[0.502757, 0.849384, 0.027416, -0.012092, -0.588914, 0.371187]], "network.10.bias": [-0.095633]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892788410186768, "train_acc": 0.57, "val_loss": 0.6962285041809082, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6826817393302917, "train_acc": 0.57, "val_loss": 0.6959906220436096, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6803167462348938, "train_acc": 0.57, "val_loss": 0.6941179037094116, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6675823032855988, "train_acc": 0.57, "val_loss": 0.6604116559028625, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6349441409111023, "train_acc": 0.575, "val_loss": 0.44980376958847046, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.39601753652095795, "train_acc": 0.875, "val_loss": 0.36687973141670227, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3747914135456085, "train_acc": 0.88, "val_loss": 0.24960550665855408, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.30326953530311584, "train_acc": 0.875, "val_loss": 0.25302132964134216, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.25508514046669006, "train_acc": 0.89, "val_loss": 0.27662354707717896, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3256447911262512, "train_acc": 0.88, "val_loss": 0.26924750208854675, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6962285041809082, "final_val_loss": 0.6604116559028625, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.44980376958847046, "final_val_loss": 0.26924750208854675, "initial_val_acc": 0.86, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
37
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2876, "learning_rate": 0.052811634834035476, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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## Activation Signature
### 0
mean: [2.095372, -1.911130, 1.176582, 2.569475, 1.326408, -2.090899, 2.406916]
std: [2.108999, 1.376321, 1.912732, 2.418310, 2.642487, 2.492229, 2.346233]
pca: [[0.381265, -0.255488, -0.258245, 0.242265, -0.011360, -0.392127, 0.714203, 0.000000, 0.000000, 0.000000], [-0.170051, -0.168380, 0.667001, 0.584221, 0.388647, -0.055025, 0.049520, 0.000000, 0.000000, 0.000000], [0.285288, -0.524140, 0.155806, -0.384185, 0.190922, -0.503576, -0.426584, 0.000000, 0.000000, 0.000000], [0.456123, 0.021362, 0.060296, -0.296918, 0.603919, 0.544798, 0.195390, 0.000000, 0.000000, 0.000000], [0.406929, 0.671775, 0.469984, -0.145511, -0.172797, -0.328135, 0.059468, 0.000000, 0.000000, 0.000000], [-0.444698, 0.358183, -0.267791, -0.178067, 0.614085, -0.427263, 0.104281, 0.000000, 0.000000, 0.000000], [0.415853, 0.227198, -0.409770, 0.557990, 0.201731, -0.050879, -0.502890, 0.000000, 0.000000, 0.000000]]
fourier: [[35.662428, 36.880599, 37.884201, 42.105999, 188.583463], [20.019716, 20.924030, 25.214083, 26.445577, 172.001684], [27.323536, 29.189931, 36.694191, 39.732542, 105.892365], [36.868004, 42.254629, 43.671903, 44.304008, 231.252717], [43.297623, 44.570779, 49.211016, 51.883497, 119.376677], [38.898801, 40.037140, 46.781431, 48.604095, 188.180910], [36.629819, 38.054649, 38.054750, 43.869302, 216.622484]]
### 2
mean: [-1.698855, 1.509608, -1.805646, 6.755912, 4.875354, -1.191679, 2.756005]
std: [1.425577, 1.766678, 2.108639, 6.303500, 4.625329, 0.726749, 2.704841]
pca: [[-0.153786, -0.237953, 0.711384, 0.293586, -0.267320, -0.330315, 0.383275, 0.000000, 0.000000, 0.000000], [0.189135, 0.666269, 0.349475, 0.006874, 0.515041, -0.348823, -0.105776, 0.000000, 0.000000, 0.000000], [-0.237296, -0.112920, -0.350525, 0.814367, 0.341768, -0.162630, -0.040308, 0.000000, 0.000000, 0.000000], [0.715626, 0.195236, 0.058874, 0.469733, -0.344460, 0.326512, -0.019589, 0.000000, 0.000000, 0.000000], [0.524292, -0.261427, -0.352920, -0.168780, 0.113987, -0.539259, 0.447148, 0.000000, 0.000000, 0.000000], [-0.081488, 0.130009, 0.018471, -0.007383, 0.367369, 0.540179, 0.741153, 0.000000, 0.000000, 0.000000], [0.301040, -0.602784, 0.347236, -0.037103, 0.529019, 0.231436, -0.301087, 0.000000, 0.000000, 0.000000]]
fourier: [[23.302096, 25.601120, 26.572806, 26.873541, 152.896926], [28.423123, 28.973173, 29.206231, 29.473351, 135.864748], [35.078350, 35.155284, 35.272429, 38.855139, 162.508090], [101.282972, 108.976267, 110.819577, 113.101905, 608.032062], [74.122709, 79.131311, 82.705641, 83.849227, 438.781921], [11.191161, 12.388780, 13.145471, 13.428539, 107.251145], [44.064887, 45.450926, 47.184677, 50.342928, 248.040442]]
### 4
mean: [-1.194853, 12.501952, -4.055700, -3.440525, -1.349027, 11.348782, 0.401203]
std: [0.833095, 11.610564, 3.803229, 3.891322, 1.000872, 10.743057, 0.826480]
pca: [[-0.048202, 0.477513, 0.085753, -0.263714, 0.831253, 0.021205, -0.036447, 0.000000, 0.000000, 0.000000], [0.691306, 0.392711, -0.386901, 0.464016, 0.003086, 0.024284, 0.047666, 0.000000, 0.000000, 0.000000], [-0.226386, 0.135581, 0.563079, 0.701156, 0.056830, 0.260336, -0.225133, 0.000000, 0.000000, 0.000000], [-0.231687, 0.064183, -0.447713, -0.101193, -0.067298, 0.820663, -0.231298, 0.000000, 0.000000, 0.000000], [-0.059070, 0.316606, 0.230715, -0.087871, -0.207618, 0.293405, 0.840315, 0.000000, 0.000000, 0.000000], [0.639660, -0.333282, 0.465841, -0.292643, 0.072645, 0.399775, -0.109603, 0.000000, 0.000000, 0.000000], [0.046781, 0.619630, 0.234972, -0.346300, -0.502860, -0.108593, -0.417222, 0.000000, 0.000000, 0.000000]]
fourier: [[13.848684, 14.484857, 14.849369, 15.187700, 107.536780], [185.074129, 200.469530, 206.539012, 208.715659, 1125.175735], [60.131086, 65.782583, 67.537082, 68.003704, 365.013022], [62.491007, 67.169535, 68.819770, 69.575569, 309.647241], [16.850274, 17.145765, 17.682903, 18.347167, 121.412468], [170.767457, 185.861644, 190.693772, 191.632271, 1021.390376], [12.952563, 13.502165, 14.685776, 15.904424, 36.108265]]
### 6
mean: [-5.228328, 15.469296, -4.030219, -2.441983, 13.767084, -5.917512, 0.344124]
std: [4.589926, 14.549891, 3.630693, 2.245729, 13.116326, 5.454054, 0.137076]
pca: [[-0.215667, -0.545758, 0.251980, 0.142959, -0.123300, 0.712567, 0.220795, 0.000000, 0.000000, 0.000000], [0.683798, -0.159194, 0.191910, -0.251881, 0.410995, 0.265578, -0.409090, 0.000000, 0.000000, 0.000000], [-0.170587, -0.023251, 0.701312, -0.243386, 0.399452, -0.321912, 0.395090, 0.000000, 0.000000, 0.000000], [-0.105522, -0.049579, 0.143749, 0.840137, 0.396549, -0.129926, -0.292885, 0.000000, 0.000000, 0.000000], [0.616425, -0.111442, -0.154876, 0.331686, -0.039181, -0.126592, 0.675306, 0.000000, 0.000000, 0.000000], [-0.256297, -0.204053, -0.599018, -0.179243, 0.675251, 0.067920, 0.202845, 0.000000, 0.000000, 0.000000], [-0.002090, 0.787242, 0.066070, 0.094388, 0.203883, 0.529689, 0.211739, 0.000000, 0.000000, 0.000000]]
fourier: [[73.027788, 79.139823, 81.198534, 82.264051, 470.549531], [231.637496, 252.090117, 258.874346, 261.338502, 1392.236664], [58.207546, 62.766730, 64.265307, 65.655422, 362.719714], [35.512493, 38.789304, 40.258762, 40.325504, 219.778533], [209.160033, 227.219867, 233.011147, 235.820503, 1239.037581], [86.631450, 94.443754, 96.787519, 97.512470, 532.576123], [2.006639, 2.122078, 2.228243, 2.452162, 30.971175]]
### 8
mean: [-4.773317, 14.792986, 13.917357, -1.758918, 20.973625, 10.871405, -5.244423]
std: [4.339888, 14.146875, 13.371355, 1.278717, 19.969620, 10.544776, 5.874579]
pca: [[-0.141244, 0.668853, 0.267178, 0.391275, 0.015611, 0.065925, 0.551013, 0.000000, 0.000000, 0.000000], [0.460470, 0.349549, -0.150548, -0.051324, 0.770282, -0.029814, -0.215081, 0.000000, 0.000000, 0.000000], [0.435229, -0.154216, -0.357824, 0.766516, -0.228053, -0.129184, -0.050123, 0.000000, 0.000000, 0.000000], [-0.041618, 0.143973, -0.345871, 0.004310, -0.107889, 0.911148, -0.126741, 0.000000, 0.000000, 0.000000], [0.649999, 0.106940, -0.104129, -0.477984, -0.367277, -0.007043, 0.437963, 0.000000, 0.000000, 0.000000], [0.343223, -0.427285, 0.695855, 0.167861, 0.178413, 0.381490, 0.099339, 0.000000, 0.000000, 0.000000], [-0.191208, -0.438100, -0.404016, 0.007617, 0.419583, 0.047974, 0.655644, 0.000000, 0.000000, 0.000000]]
fourier: [[68.618266, 75.295974, 76.864406, 77.950948, 429.598537], [224.169102, 246.025201, 251.865057, 254.769699, 1331.368819], [211.777179, 232.471994, 237.801268, 240.731024, 1252.562096], [20.252963, 22.138132, 22.701002, 22.905757, 158.302671], [316.368216, 347.197854, 355.341299, 359.525762, 1887.626331], [167.023784, 183.087895, 187.453100, 189.539710, 978.426405], [93.161904, 102.172296, 104.758221, 105.797861, 471.998070]]
### 10
mean: [-20.876682]
std: [20.532845]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[324.408725, 358.332764, 365.874614, 370.873486, 1878.901501]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.158529,
0.169813
],
[
-0.177572,
-0.405354,
-0.482513,
0.132688,
0.002364,
0.269814,
0.392665
]
],
"network.8.bias": [
-0.056123,
0.003286,
-0.144973,
-0.337924,
0.002916,
-0.415263,
0.867557
],
"network.10.weight": [
[
0.084112,
-0.227253,
0.147806,
0.119223,
-0.721705,
-0.455118,
0.639588
]
],
"network.10.bias": [
0.431974
]
}
## Activation Signature
### 0
mean: [2.095372, -1.911130, 1.176582, 2.569475, 1.326408, -2.090899, 2.406916]
std: [2.108999, 1.376321, 1.912732, 2.418310, 2.642487, 2.492229, 2.346233]
pca: [[0.381265, -0.255488, -0.258245, 0.242265, -0.011360, -0.392127, 0.714203, 0.000000, 0.000000, 0.000000], [-0.170051, -0.168380, 0.667001, 0.584221, 0.388647, -0.055025, 0.049520, 0.000000, 0.000000, 0.000000], [0.285288, -0.524140, 0.155806, -0.384185, 0.190922, -0.503576, -0.426584, 0.000000, 0.000000, 0.000000], [0.456123, 0.021362, 0.060296, -0.296918, 0.603919, 0.544798, 0.195390, 0.000000, 0.000000, 0.000000], [0.406929, 0.671775, 0.469984, -0.145511, -0.172797, -0.328135, 0.059468, 0.000000, 0.000000, 0.000000], [-0.444698, 0.358183, -0.267791, -0.178067, 0.614085, -0.427263, 0.104281, 0.000000, 0.000000, 0.000000], [0.415853, 0.227198, -0.409770, 0.557990, 0.201731, -0.050879, -0.502890, 0.000000, 0.000000, 0.000000]]
fourier: [[35.662428, 36.880599, 37.884201, 42.105999, 188.583463], [20.019716, 20.924030, 25.214083, 26.445577, 172.001684], [27.323536, 29.189931, 36.694191, 39.732542, 105.892365], [36.868004, 42.254629, 43.671903, 44.304008, 231.252717], [43.297623, 44.570779, 49.211016, 51.883497, 119.376677], [38.898801, 40.037140, 46.781431, 48.604095, 188.180910], [36.629819, 38.054649, 38.054750, 43.869302, 216.622484]]
### 2
mean: [-1.698855, 1.509608, -1.805646, 6.755912, 4.875354, -1.191679, 2.756005]
std: [1.425577, 1.766678, 2.108639, 6.303500, 4.625329, 0.726749, 2.704841]
pca: [[-0.153786, -0.237953, 0.711384, 0.293586, -0.267320, -0.330315, 0.383275, 0.000000, 0.000000, 0.000000], [0.189135, 0.666269, 0.349475, 0.006874, 0.515041, -0.348823, -0.105776, 0.000000, 0.000000, 0.000000], [-0.237296, -0.112920, -0.350525, 0.814367, 0.341768, -0.162630, -0.040308, 0.000000, 0.000000, 0.000000], [0.715626, 0.195236, 0.058874, 0.469733, -0.344460, 0.326512, -0.019589, 0.000000, 0.000000, 0.000000], [0.524292, -0.261427, -0.352920, -0.168780, 0.113987, -0.539259, 0.447148, 0.000000, 0.000000, 0.000000], [-0.081488, 0.130009, 0.018471, -0.007383, 0.367369, 0.540179, 0.741153, 0.000000, 0.000000, 0.000000], [0.301040, -0.602784, 0.347236, -0.037103, 0.529019, 0.231436, -0.301087, 0.000000, 0.000000, 0.000000]]
fourier: [[23.302096, 25.601120, 26.572806, 26.873541, 152.896926], [28.423123, 28.973173, 29.206231, 29.473351, 135.864748], [35.078350, 35.155284, 35.272429, 38.855139, 162.508090], [101.282972, 108.976267, 110.819577, 113.101905, 608.032062], [74.122709, 79.131311, 82.705641, 83.849227, 438.781921], [11.191161, 12.388780, 13.145471, 13.428539, 107.251145], [44.064887, 45.450926, 47.184677, 50.342928, 248.040442]]
### 4
mean: [-1.194853, 12.501952, -4.055700, -3.440525, -1.349027, 11.348782, 0.401203]
std: [0.833095, 11.610564, 3.803229, 3.891322, 1.000872, 10.743057, 0.826480]
pca: [[-0.048202, 0.477513, 0.085753, -0.263714, 0.831253, 0.021205, -0.036447, 0.000000, 0.000000, 0.000000], [0.691306, 0.392711, -0.386901, 0.464016, 0.003086, 0.024284, 0.047666, 0.000000, 0.000000, 0.000000], [-0.226386, 0.135581, 0.563079, 0.701156, 0.056830, 0.260336, -0.225133, 0.000000, 0.000000, 0.000000], [-0.231687, 0.064183, -0.447713, -0.101193, -0.067298, 0.820663, -0.231298, 0.000000, 0.000000, 0.000000], [-0.059070, 0.316606, 0.230715, -0.087871, -0.207618, 0.293405, 0.840315, 0.000000, 0.000000, 0.000000], [0.639660, -0.333282, 0.465841, -0.292643, 0.072645, 0.399775, -0.109603, 0.000000, 0.000000, 0.000000], [0.046781, 0.619630, 0.234972, -0.346300, -0.502860, -0.108593, -0.417222, 0.000000, 0.000000, 0.000000]]
fourier: [[13.848684, 14.484857, 14.849369, 15.187700, 107.536780], [185.074129, 200.469530, 206.539012, 208.715659, 1125.175735], [60.131086, 65.782583, 67.537082, 68.003704, 365.013022], [62.491007, 67.169535, 68.819770, 69.575569, 309.647241], [16.850274, 17.145765, 17.682903, 18.347167, 121.412468], [170.767457, 185.861644, 190.693772, 191.632271, 1021.390376], [12.952563, 13.502165, 14.685776, 15.904424, 36.108265]]
### 6
mean: [-5.228328, 15.469296, -4.030219, -2.441983, 13.767084, -5.917512, 0.344124]
std: [4.589926, 14.549891, 3.630693, 2.245729, 13.116326, 5.454054, 0.137076]
pca: [[-0.215667, -0.545758, 0.251980, 0.142959, -0.123300, 0.712567, 0.220795, 0.000000, 0.000000, 0.000000], [0.683798, -0.159194, 0.191910, -0.251881, 0.410995, 0.265578, -0.409090, 0.000000, 0.000000, 0.000000], [-0.170587, -0.023251, 0.701312, -0.243386, 0.399452, -0.321912, 0.395090, 0.000000, 0.000000, 0.000000], [-0.105522, -0.049579, 0.143749, 0.840137, 0.396549, -0.129926, -0.292885, 0.000000, 0.000000, 0.000000], [0.616425, -0.111442, -0.154876, 0.331686, -0.039181, -0.126592, 0.675306, 0.000000, 0.000000, 0.000000], [-0.256297, -0.204053, -0.599018, -0.179243, 0.675251, 0.067920, 0.202845, 0.000000, 0.000000, 0.000000], [-0.002090, 0.787242, 0.066070, 0.094388, 0.203883, 0.529689, 0.211739, 0.000000, 0.000000, 0.000000]]
fourier: [[73.027788, 79.139823, 81.198534, 82.264051, 470.549531], [231.637496, 252.090117, 258.874346, 261.338502, 1392.236664], [58.207546, 62.766730, 64.265307, 65.655422, 362.719714], [35.512493, 38.789304, 40.258762, 40.325504, 219.778533], [209.160033, 227.219867, 233.011147, 235.820503, 1239.037581], [86.631450, 94.443754, 96.787519, 97.512470, 532.576123], [2.006639, 2.122078, 2.228243, 2.452162, 30.971175]]
### 8
mean: [-4.773317, 14.792986, 13.917357, -1.758918, 20.973625, 10.871405, -5.244423]
std: [4.339888, 14.146875, 13.371355, 1.278717, 19.969620, 10.544776, 5.874579]
pca: [[-0.141244, 0.668853, 0.267178, 0.391275, 0.015611, 0.065925, 0.551013, 0.000000, 0.000000, 0.000000], [0.460470, 0.349549, -0.150548, -0.051324, 0.770282, -0.029814, -0.215081, 0.000000, 0.000000, 0.000000], [0.435229, -0.154216, -0.357824, 0.766516, -0.228053, -0.129184, -0.050123, 0.000000, 0.000000, 0.000000], [-0.041618, 0.143973, -0.345871, 0.004310, -0.107889, 0.911148, -0.126741, 0.000000, 0.000000, 0.000000], [0.649999, 0.106940, -0.104129, -0.477984, -0.367277, -0.007043, 0.437963, 0.000000, 0.000000, 0.000000], [0.343223, -0.427285, 0.695855, 0.167861, 0.178413, 0.381490, 0.099339, 0.000000, 0.000000, 0.000000], [-0.191208, -0.438100, -0.404016, 0.007617, 0.419583, 0.047974, 0.655644, 0.000000, 0.000000, 0.000000]]
fourier: [[68.618266, 75.295974, 76.864406, 77.950948, 429.598537], [224.169102, 246.025201, 251.865057, 254.769699, 1331.368819], [211.777179, 232.471994, 237.801268, 240.731024, 1252.562096], [20.252963, 22.138132, 22.701002, 22.905757, 158.302671], [316.368216, 347.197854, 355.341299, 359.525762, 1887.626331], [167.023784, 183.087895, 187.453100, 189.539710, 978.426405], [93.161904, 102.172296, 104.758221, 105.797861, 471.998070]]
### 10
mean: [-20.876682]
std: [20.532845]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[324.408725, 358.332764, 365.874614, 370.873486, 1878.901501]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.394186, 0.821677, 0.141534, 0.093165, -0.324071], [-0.121918, -0.147412, -0.546076, -0.153244, -0.091768], [0.541384, 0.34322, -0.049679, 0.445474, -0.597544], [0.786332, 0.533112, 0.330474, 0.00654, -0.424481], [0.967292, 0.280515, 0.295159, -0.501967, 0.063843], [-0.766016, -0.787057, 0.148032, -0.155322, 0.426947], [0.349639, 0.938383, 0.38337, -0.349682, -0.031244]], "network.0.bias": [0.011804, 0.091704, -0.237114, 0.43866, -0.007349, -0.206152, 0.249458], "network.2.weight": [[-0.368328, -0.025704, -0.109262, -0.081413, 0.13557, 0.215273, -0.253714], [0.486833, -0.007863, -0.233763, -0.08242, 0.160203, 0.147147, 0.436147], [-0.054678, 0.212962, 0.11348, -0.803083, 0.063129, -0.17143, -0.19578], [0.688962, 0.223563, 0.812012, 0.483036, 0.513306, -0.308088, 0.834413], [0.667896, 0.146354, 0.492113, 0.780332, 0.250031, -0.329932, 0.163245], [-0.065289, 0.046065, -0.12019, -0.166056, -0.056925, -0.058714, 0.027132], [0.155144, -0.005774, 0.307499, 0.75228, 0.305795, -0.374931, -0.197121]], "network.2.bias": [-0.161728, -0.332131, 0.65142, -0.065719, -0.111598, -0.405808, 0.009582], "network.4.weight": [[-0.01006, 0.002436, -0.15847, -0.23549, -0.022066, -0.057872, 0.287982], [0.004659, 0.257287, -0.686019, 0.785458, 0.857468, 0.001359, 0.868339], [-0.230252, 0.014178, -0.613601, -0.392775, -0.27121, 0.285638, -0.059515], [0.314072, -0.290781, 0.350989, -0.232636, -0.241922, -0.300998, -0.31536], [0.096688, 0.085726, -0.246416, -0.268464, 0.000836, -0.138296, 0.20427], [0.207786, 0.54532, -0.232387, 0.835345, 0.654997, 0.186808, 0.609405], [0.129585, 0.210776, -0.366073, -0.30749, 0.208632, -0.236906, 0.531999]], "network.4.bias": [-0.288078, 0.203834, 0.119617, 0.632784, -0.223439, -0.060814, -0.329995], "network.6.weight": [[-0.28311, -0.308842, 0.065241, -0.237455, 0.233273, -0.087141, -0.141126], [-0.09862, 0.683755, 0.123214, -0.570323, -0.272758, 0.608603, 0.030873], [0.264945, -0.295561, 0.215315, 0.247603, 0.252366, -0.000802, -0.242294], [-0.341388, -0.305927, -0.063808, -0.133405, 0.26349, 0.107999, 0.193302], [-0.160036, 0.584689, -0.348062, -0.66044, -0.270728, 0.566475, 0.264414], [0.129348, -0.072679, -0.175462, 0.029714, 0.170854, -0.426397, -0.044792], [0.267925, -0.031592, 0.098449, 0.563328, -0.126984, 0.026838, 0.14099]], "network.6.bias": [-0.277503, 0.049937, -0.224187, 0.070972, -0.047166, -0.145991, 0.301741], "network.8.weight": [[0.157753, 0.019106, -0.172591, -0.343512, -0.354167, -0.302738, -0.366114], [0.064436, 0.507535, -0.172439, 0.479267, 0.515973, -0.233308, -0.560817], [-0.056656, 0.282438, 0.122483, -0.169559, 0.707748, 0.148605, -0.231026], [0.1277, -0.149622, -0.101589, 0.35908, 0.067988, 0.292648, -0.119805], [-0.123474, 0.646537, -0.102917, -0.089882, 0.806871, 0.098166, -0.521724], [0.230749, 0.572734, 0.247602, -0.356943, 0.170696, -0.158529, 0.169813], [-0.177572, -0.405354, -0.482513, 0.132688, 0.002364, 0.269814, 0.392665]], "network.8.bias": [-0.056123, 0.003286, -0.144973, -0.337924, 0.002916, -0.415263, 0.867557], "network.10.weight": [[0.084112, -0.227253, 0.147806, 0.119223, -0.721705, -0.455118, 0.639588]], "network.10.bias": [0.431974]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6671582460403442, "train_acc": 0.585, "val_loss": 0.6770175099372864, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6013821363449097, "train_acc": 0.585, "val_loss": 0.551065981388092, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5050250291824341, "train_acc": 0.51, "val_loss": 0.40895089507102966, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.39076749980449677, "train_acc": 0.9, "val_loss": 0.3927578032016754, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34434372186660767, "train_acc": 0.895, "val_loss": 0.29384416341781616, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3049310892820358, "train_acc": 0.91, "val_loss": 0.2539999783039093, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2953803688287735, "train_acc": 0.895, "val_loss": 0.1847020983695984, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2312796264886856, "train_acc": 0.93, "val_loss": 0.12576411664485931, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2959884852170944, "train_acc": 0.91, "val_loss": 0.10910159349441528, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21151135861873627, "train_acc": 0.93, "val_loss": 0.1399507075548172, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.27002033591270447, "train_acc": 0.905, "val_loss": 0.166888028383255, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2517300993204117, "train_acc": 0.905, "val_loss": 0.13027197122573853, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6770175099372864, "final_val_loss": 0.551065981388092, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.40895089507102966, "final_val_loss": 0.13027197122573853, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 6}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
38
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2412, "learning_rate": 0.09693395560140622, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.898753, 1.223401, -1.918613, 0.428754, 1.277418, -1.377487, 1.125092, 0.696328]
std: [0.832643, 1.600508, 1.541648, 1.190501, 2.119550, 1.450303, 1.857556, 1.280133]
pca: [[0.092659, 0.372249, -0.090983, -0.274436, -0.106427, -0.069236, -0.009829, 0.867776, 0.000000, 0.000000], [0.439313, 0.074019, 0.153321, -0.203080, 0.664741, -0.429235, 0.323880, -0.075863, 0.000000, 0.000000], [-0.192911, 0.756634, 0.058590, -0.040017, 0.256720, 0.499492, 0.115280, -0.237844, 0.000000, 0.000000], [-0.180301, -0.271476, -0.362405, 0.511521, 0.508013, 0.280681, 0.209393, 0.346550, 0.000000, 0.000000], [0.571385, 0.005177, -0.609155, -0.161803, 0.070015, 0.260070, -0.424345, -0.153740, 0.000000, 0.000000], [0.238967, 0.438427, -0.127243, 0.717964, -0.215365, -0.410177, -0.029401, -0.059343, 0.000000, 0.000000], [0.461130, -0.105692, 0.659494, 0.279216, 0.044011, 0.407004, -0.245194, 0.188642, 0.000000, 0.000000], [0.363961, -0.079636, -0.106078, -0.023959, -0.411813, 0.284880, 0.772539, -0.042427, 0.000000, 0.000000]]
fourier: [[13.275365, 14.367183, 15.277786, 15.623135, 80.887727], [24.663052, 30.607137, 31.740031, 33.460930, 110.106109], [23.491153, 27.792272, 28.452946, 30.444147, 172.675215], [18.855466, 19.620483, 22.043443, 23.661435, 38.587862], [32.415193, 34.906537, 35.218321, 36.643675, 114.967597], [20.878919, 21.642502, 26.921776, 27.133428, 123.973858], [30.252086, 31.109506, 33.904164, 45.900286, 101.258275], [20.376861, 20.508014, 20.701444, 21.554494, 62.669485]]
### 2
mean: [1.287748, 2.469389, 0.447139, 0.300689, -0.213322, 0.354340, -1.405205, 2.270079]
std: [1.564151, 3.321267, 0.425403, 0.285996, 0.263174, 1.096958, 1.482102, 2.710373]
pca: [[0.315320, -0.028941, 0.460107, -0.504659, -0.260016, -0.423525, -0.264321, -0.341335, 0.000000, 0.000000], [0.677761, -0.069261, -0.200062, 0.574115, 0.080503, -0.042042, -0.292208, -0.269400, 0.000000, 0.000000], [0.003582, 0.742098, 0.233307, 0.311814, 0.024289, -0.464518, 0.120816, 0.258175, 0.000000, 0.000000], [0.035716, 0.178785, 0.386643, 0.144664, -0.475499, 0.592519, -0.392092, 0.255783, 0.000000, 0.000000], [-0.019234, 0.292372, 0.333909, -0.118081, 0.720787, 0.373478, -0.115073, -0.341246, 0.000000, 0.000000], [0.219620, -0.345962, 0.200460, -0.094710, 0.419587, -0.159191, -0.255764, 0.718410, 0.000000, 0.000000], [-0.291776, -0.454389, 0.593411, 0.508899, 0.002134, -0.134737, 0.213425, -0.183233, 0.000000, 0.000000], [0.553343, -0.007142, 0.201337, -0.125156, -0.060254, 0.262721, 0.743108, 0.112686, 0.000000, 0.000000]]
fourier: [[25.754078, 27.488701, 27.800064, 28.280371, 115.897292], [57.375530, 61.055080, 62.834877, 65.304935, 222.245014], [6.680520, 6.826471, 8.524020, 8.619382, 40.242552], [4.216606, 4.273433, 4.585710, 6.101468, 27.062006], [4.440937, 4.489386, 4.977528, 5.680197, 19.198946], [18.263350, 18.542975, 20.287345, 20.790197, 31.890595], [26.150252, 27.536170, 28.839018, 31.715681, 126.468439], [47.101157, 49.106111, 50.114254, 50.597159, 204.307095]]
### 4
mean: [-1.271321, -0.158569, 3.137958, -1.077271, -0.784047, 2.784386, -1.230053, -0.227331]
std: [1.299300, 0.240670, 4.463001, 1.465929, 0.570483, 3.603276, 1.172291, 0.883192]
pca: [[-0.204648, 0.444755, -0.519949, -0.378499, 0.434774, -0.242012, 0.058880, 0.309254, 0.000000, 0.000000], [0.007498, 0.467395, 0.058215, 0.079329, -0.194958, -0.202154, 0.676427, -0.485156, 0.000000, 0.000000], [0.714538, -0.104650, 0.253516, -0.410903, 0.343819, 0.136402, 0.310221, 0.110985, 0.000000, 0.000000], [-0.234652, 0.023057, 0.067215, 0.483169, 0.280554, 0.493567, 0.454670, 0.421180, 0.000000, 0.000000], [-0.085217, 0.383000, 0.582895, 0.193347, 0.534621, -0.142632, -0.358183, -0.185580, 0.000000, 0.000000], [0.576360, 0.314538, -0.187434, 0.532126, -0.184134, -0.273798, -0.160752, 0.340401, 0.000000, 0.000000], [-0.186197, 0.265517, 0.512538, -0.321328, -0.470457, -0.091502, 0.040466, 0.545476, 0.000000, 0.000000], [0.135331, 0.506092, -0.141002, -0.156074, -0.187046, 0.731210, -0.283273, -0.177251, 0.000000, 0.000000]]
fourier: [[22.337735, 22.634472, 22.979839, 23.676379, 114.418850], [3.844585, 3.875839, 3.907699, 5.468833, 14.271170], [77.990234, 80.583563, 83.060702, 83.618713, 282.416227], [25.765869, 26.364684, 26.833173, 27.451458, 96.954398], [9.369089, 9.384419, 10.133246, 11.007003, 70.564240], [62.855085, 65.879568, 68.621984, 69.366170, 250.594774], [19.968815, 20.623507, 20.771356, 21.885488, 110.704737], [15.888393, 16.258189, 16.672520, 18.520335, 20.459804]]
### 6
mean: [0.824207, 2.407129, 2.507341, -1.599256, 1.263152, 3.071795, 2.127433, -0.458665]
std: [0.475843, 3.545475, 3.780116, 2.080711, 1.659028, 4.139022, 3.248591, 0.118251]
pca: [[0.059779, 0.576161, -0.151384, -0.206659, 0.023487, 0.176851, 0.604040, 0.449609, 0.000000, 0.000000], [0.450746, -0.373836, 0.681253, -0.140657, -0.165439, -0.080919, 0.309430, 0.208615, 0.000000, 0.000000], [0.480678, 0.165853, -0.074460, 0.077618, -0.442523, 0.665780, -0.243012, -0.178123, 0.000000, 0.000000], [-0.264429, -0.564772, -0.135392, -0.059298, 0.288328, 0.628775, 0.073782, 0.324542, 0.000000, 0.000000], [0.210938, -0.091811, -0.111563, 0.778191, 0.223502, 0.022659, 0.469357, -0.241426, 0.000000, 0.000000], [0.526321, 0.036154, -0.117571, -0.379516, 0.702650, 0.009429, -0.091027, -0.248459, 0.000000, 0.000000], [0.413037, -0.239923, -0.528364, 0.128541, -0.144159, -0.336291, -0.204422, 0.548165, 0.000000, 0.000000], [-0.013101, -0.338396, -0.428561, -0.402282, -0.358702, -0.099302, 0.452239, -0.443591, 0.000000, 0.000000]]
fourier: [[8.197284, 8.860330, 8.943690, 9.070090, 74.178609], [61.142168, 63.750015, 66.873142, 67.179223, 216.641601], [65.508703, 67.943585, 71.016262, 71.195316, 225.660720], [35.964354, 37.835796, 39.252109, 39.644315, 143.933044], [28.650248, 29.607092, 30.992047, 31.320299, 113.683643], [71.616034, 74.422125, 77.640739, 77.969038, 276.461541], [56.477121, 57.835098, 60.556252, 60.563347, 191.468976], [2.071735, 2.258093, 2.460781, 2.706273, 41.279822]]
### 8
mean: [-4.114417]
std: [6.549258]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.860063, 116.867539, 122.206319, 123.435515, 370.297502]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.898753, 1.223401, -1.918613, 0.428754, 1.277418, -1.377487, 1.125092, 0.696328]
std: [0.832643, 1.600508, 1.541648, 1.190501, 2.119550, 1.450303, 1.857556, 1.280133]
pca: [[0.092659, 0.372249, -0.090983, -0.274436, -0.106427, -0.069236, -0.009829, 0.867776, 0.000000, 0.000000], [0.439313, 0.074019, 0.153321, -0.203080, 0.664741, -0.429235, 0.323880, -0.075863, 0.000000, 0.000000], [-0.192911, 0.756634, 0.058590, -0.040017, 0.256720, 0.499492, 0.115280, -0.237844, 0.000000, 0.000000], [-0.180301, -0.271476, -0.362405, 0.511521, 0.508013, 0.280681, 0.209393, 0.346550, 0.000000, 0.000000], [0.571385, 0.005177, -0.609155, -0.161803, 0.070015, 0.260070, -0.424345, -0.153740, 0.000000, 0.000000], [0.238967, 0.438427, -0.127243, 0.717964, -0.215365, -0.410177, -0.029401, -0.059343, 0.000000, 0.000000], [0.461130, -0.105692, 0.659494, 0.279216, 0.044011, 0.407004, -0.245194, 0.188642, 0.000000, 0.000000], [0.363961, -0.079636, -0.106078, -0.023959, -0.411813, 0.284880, 0.772539, -0.042427, 0.000000, 0.000000]]
fourier: [[13.275365, 14.367183, 15.277786, 15.623135, 80.887727], [24.663052, 30.607137, 31.740031, 33.460930, 110.106109], [23.491153, 27.792272, 28.452946, 30.444147, 172.675215], [18.855466, 19.620483, 22.043443, 23.661435, 38.587862], [32.415193, 34.906537, 35.218321, 36.643675, 114.967597], [20.878919, 21.642502, 26.921776, 27.133428, 123.973858], [30.252086, 31.109506, 33.904164, 45.900286, 101.258275], [20.376861, 20.508014, 20.701444, 21.554494, 62.669485]]
### 2
mean: [1.287748, 2.469389, 0.447139, 0.300689, -0.213322, 0.354340, -1.405205, 2.270079]
std: [1.564151, 3.321267, 0.425403, 0.285996, 0.263174, 1.096958, 1.482102, 2.710373]
pca: [[0.315320, -0.028941, 0.460107, -0.504659, -0.260016, -0.423525, -0.264321, -0.341335, 0.000000, 0.000000], [0.677761, -0.069261, -0.200062, 0.574115, 0.080503, -0.042042, -0.292208, -0.269400, 0.000000, 0.000000], [0.003582, 0.742098, 0.233307, 0.311814, 0.024289, -0.464518, 0.120816, 0.258175, 0.000000, 0.000000], [0.035716, 0.178785, 0.386643, 0.144664, -0.475499, 0.592519, -0.392092, 0.255783, 0.000000, 0.000000], [-0.019234, 0.292372, 0.333909, -0.118081, 0.720787, 0.373478, -0.115073, -0.341246, 0.000000, 0.000000], [0.219620, -0.345962, 0.200460, -0.094710, 0.419587, -0.159191, -0.255764, 0.718410, 0.000000, 0.000000], [-0.291776, -0.454389, 0.593411, 0.508899, 0.002134, -0.134737, 0.213425, -0.183233, 0.000000, 0.000000], [0.553343, -0.007142, 0.201337, -0.125156, -0.060254, 0.262721, 0.743108, 0.112686, 0.000000, 0.000000]]
fourier: [[25.754078, 27.488701, 27.800064, 28.280371, 115.897292], [57.375530, 61.055080, 62.834877, 65.304935, 222.245014], [6.680520, 6.826471, 8.524020, 8.619382, 40.242552], [4.216606, 4.273433, 4.585710, 6.101468, 27.062006], [4.440937, 4.489386, 4.977528, 5.680197, 19.198946], [18.263350, 18.542975, 20.287345, 20.790197, 31.890595], [26.150252, 27.536170, 28.839018, 31.715681, 126.468439], [47.101157, 49.106111, 50.114254, 50.597159, 204.307095]]
### 4
mean: [-1.271321, -0.158569, 3.137958, -1.077271, -0.784047, 2.784386, -1.230053, -0.227331]
std: [1.299300, 0.240670, 4.463001, 1.465929, 0.570483, 3.603276, 1.172291, 0.883192]
pca: [[-0.204648, 0.444755, -0.519949, -0.378499, 0.434774, -0.242012, 0.058880, 0.309254, 0.000000, 0.000000], [0.007498, 0.467395, 0.058215, 0.079329, -0.194958, -0.202154, 0.676427, -0.485156, 0.000000, 0.000000], [0.714538, -0.104650, 0.253516, -0.410903, 0.343819, 0.136402, 0.310221, 0.110985, 0.000000, 0.000000], [-0.234652, 0.023057, 0.067215, 0.483169, 0.280554, 0.493567, 0.454670, 0.421180, 0.000000, 0.000000], [-0.085217, 0.383000, 0.582895, 0.193347, 0.534621, -0.142632, -0.358183, -0.185580, 0.000000, 0.000000], [0.576360, 0.314538, -0.187434, 0.532126, -0.184134, -0.273798, -0.160752, 0.340401, 0.000000, 0.000000], [-0.186197, 0.265517, 0.512538, -0.321328, -0.470457, -0.091502, 0.040466, 0.545476, 0.000000, 0.000000], [0.135331, 0.506092, -0.141002, -0.156074, -0.187046, 0.731210, -0.283273, -0.177251, 0.000000, 0.000000]]
fourier: [[22.337735, 22.634472, 22.979839, 23.676379, 114.418850], [3.844585, 3.875839, 3.907699, 5.468833, 14.271170], [77.990234, 80.583563, 83.060702, 83.618713, 282.416227], [25.765869, 26.364684, 26.833173, 27.451458, 96.954398], [9.369089, 9.384419, 10.133246, 11.007003, 70.564240], [62.855085, 65.879568, 68.621984, 69.366170, 250.594774], [19.968815, 20.623507, 20.771356, 21.885488, 110.704737], [15.888393, 16.258189, 16.672520, 18.520335, 20.459804]]
### 6
mean: [0.824207, 2.407129, 2.507341, -1.599256, 1.263152, 3.071795, 2.127433, -0.458665]
std: [0.475843, 3.545475, 3.780116, 2.080711, 1.659028, 4.139022, 3.248591, 0.118251]
pca: [[0.059779, 0.576161, -0.151384, -0.206659, 0.023487, 0.176851, 0.604040, 0.449609, 0.000000, 0.000000], [0.450746, -0.373836, 0.681253, -0.140657, -0.165439, -0.080919, 0.309430, 0.208615, 0.000000, 0.000000], [0.480678, 0.165853, -0.074460, 0.077618, -0.442523, 0.665780, -0.243012, -0.178123, 0.000000, 0.000000], [-0.264429, -0.564772, -0.135392, -0.059298, 0.288328, 0.628775, 0.073782, 0.324542, 0.000000, 0.000000], [0.210938, -0.091811, -0.111563, 0.778191, 0.223502, 0.022659, 0.469357, -0.241426, 0.000000, 0.000000], [0.526321, 0.036154, -0.117571, -0.379516, 0.702650, 0.009429, -0.091027, -0.248459, 0.000000, 0.000000], [0.413037, -0.239923, -0.528364, 0.128541, -0.144159, -0.336291, -0.204422, 0.548165, 0.000000, 0.000000], [-0.013101, -0.338396, -0.428561, -0.402282, -0.358702, -0.099302, 0.452239, -0.443591, 0.000000, 0.000000]]
fourier: [[8.197284, 8.860330, 8.943690, 9.070090, 74.178609], [61.142168, 63.750015, 66.873142, 67.179223, 216.641601], [65.508703, 67.943585, 71.016262, 71.195316, 225.660720], [35.964354, 37.835796, 39.252109, 39.644315, 143.933044], [28.650248, 29.607092, 30.992047, 31.320299, 113.683643], [71.616034, 74.422125, 77.640739, 77.969038, 276.461541], [56.477121, 57.835098, 60.556252, 60.563347, 191.468976], [2.071735, 2.258093, 2.460781, 2.706273, 41.279822]]
### 8
mean: [-4.114417]
std: [6.549258]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[112.860063, 116.867539, 122.206319, 123.435515, 370.297502]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.252198, -0.052923, -0.152295, 0.01309, -0.383389], [0.731272, -0.10249, 0.239428, -0.021841, -0.259129], [-0.114255, -0.307273, -0.198674, -0.242537, -0.488463], [-0.567473, 0.420191, 0.181711, -0.315764, 0.317714], [0.731674, 0.613232, -0.021166, -0.087171, -0.275139], [0.391369, 0.233064, -0.422029, -0.523035, 0.057821], [0.878439, -0.336039, 0.031116, -0.017285, 0.259225], [0.563087, 0.21331, -0.139732, 0.057828, 0.023879]], "network.0.bias": [-0.353258, 0.366423, 0.321042, 0.274978, -0.18007, -0.357339, 0.296618, -0.254677], "network.2.weight": [[-0.314812, 0.226358, 0.020768, -0.087628, 0.554071, -0.091455, 0.149583, -0.018729], [-0.717736, 0.585186, -0.669387, -0.321879, 0.644794, 0.387498, 0.608983, 0.187009], [0.327575, -0.005879, 0.132803, 0.54031, -0.227813, -0.267796, 0.035936, 0.493713], [0.26407, -0.125751, 0.132074, 0.145134, 0.010153, -0.066179, -0.028783, 0.359103], [0.717151, 0.102633, 0.180205, 0.264936, -0.185646, -0.342037, -0.227934, 0.453101], [-0.070764, 0.241156, -0.287205, -0.252457, 0.34315, 0.211191, 0.014489, -0.037898], [0.596499, -0.398405, 0.165657, -0.005849, -0.215613, 0.628387, -0.466549, 0.093928], [-0.144671, 0.446188, -0.211186, -0.227001, 0.691775, -0.072167, 0.400154, 0.099197]], "network.2.bias": [0.121969, 0.116353, 0.068238, 0.15112, -0.236547, -0.266219, -0.094105, 0.349765], "network.4.weight": [[-0.206276, -0.078157, -0.236404, -0.21921, -0.431045, 0.197012, 0.025286, -0.314195], [-0.019514, 0.062381, -0.362758, -0.416564, -0.394439, -0.061068, 0.04867, -0.010449], [0.451117, 0.561311, -0.350085, 0.253611, -0.279132, 0.247785, -0.112744, 0.576832], [-0.371327, -0.256481, 0.09021, 0.064067, 0.138089, -0.181974, 0.059953, 0.053552], [-0.152567, -0.093554, -0.3982, -0.059158, -0.145832, -0.406959, 0.505416, 0.141177], [0.21004, 0.623577, -0.540302, -0.356833, -0.197938, 0.27692, -0.248873, 0.351679], [0.153727, -0.142484, -0.13148, -0.257796, -0.282707, -0.362401, 0.182666, -0.203308], [0.08819, 0.229515, -0.400812, -0.363817, -0.787551, 0.115005, -0.176481, -0.049907]], "network.4.bias": [-0.134117, -0.038228, -0.091004, -0.074865, -0.298164, 0.360667, -0.359994, -0.681438], "network.6.weight": [[0.007014, 0.010508, 0.129451, -0.155143, -0.375399, 0.019863, 0.248666, -0.321805], [0.156442, 0.478917, 0.179371, 0.060346, 0.61048, 0.695519, 0.198514, 0.323779], [0.455762, 0.826547, 0.569322, 0.124316, 0.117976, 0.321158, 0.048863, 0.054936], [-0.150895, -0.239924, -0.211074, -0.082851, -0.235574, -0.361317, -0.144865, 0.354936], [0.076353, 0.189986, 0.195593, 0.419179, 0.27781, 0.198455, 0.281424, 0.048074], [0.277755, 0.408805, 0.515715, 0.055337, 0.084013, 0.479944, -0.340568, 0.166993], [0.499029, 0.608482, 0.620085, 0.15642, 0.37218, 0.072537, -0.404315, 0.337163], [0.014801, 0.160507, 0.211898, -0.342978, 0.005064, -0.345792, 0.042543, 0.361194]], "network.6.bias": [0.384615, 0.0475, -0.03066, -0.085078, 0.220564, 0.154671, 0.047631, -0.228249], "network.8.weight": [[0.25669, -0.469754, -0.457623, 0.013862, -0.230325, -0.566927, -0.160102, -0.264129]], "network.8.bias": [0.238041]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7066080868244171, "train_acc": 0.44, "val_loss": 0.6552404761314392, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6120957136154175, "train_acc": 0.575, "val_loss": 0.5087748169898987, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 2.6502885222434998, "train_acc": 0.495, "val_loss": 0.4436967968940735, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5505680590867996, "train_acc": 0.71, "val_loss": 0.6396335959434509, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6245396733283997, "train_acc": 0.605, "val_loss": 0.6291446089744568, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6302931308746338, "train_acc": 0.605, "val_loss": 0.5958718061447144, "val_acc": 0.6}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6552404761314392, "final_val_loss": 0.5087748169898987, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4436967968940735, "final_val_loss": 0.5958718061447144, "initial_val_acc": 0.86, "final_val_acc": 0.6, "best_val_acc": 0.86, "best_epoch": 2}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
39
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2079, "learning_rate": 0.05135048742655233, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
[
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],
"network.12.bias": [
0.387059
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}
## Activation Signature
### 0
mean: [0.368962, 0.828235, 0.833503, -1.106768, -3.109787, -1.680254, -0.359441, -0.997327]
std: [1.717668, 1.459321, 1.846522, 1.934106, 1.619429, 1.110526, 1.906398, 1.636423]
pca: [[0.519630, -0.160773, -0.188292, -0.173464, -0.010867, 0.391574, -0.067871, 0.693209, 0.000000, 0.000000], [0.314241, -0.107470, -0.509190, -0.084234, 0.219899, -0.120377, 0.694139, -0.280460, 0.000000, 0.000000], [0.476896, -0.426205, 0.137743, 0.071868, 0.254622, 0.162154, -0.439431, -0.531560, 0.000000, 0.000000], [0.175498, 0.644309, -0.430214, -0.280813, 0.175864, -0.192459, -0.459985, -0.102812, 0.000000, 0.000000], [0.145379, 0.188350, 0.632180, -0.436636, 0.521471, -0.135976, 0.227512, 0.104421, 0.000000, 0.000000], [0.111777, 0.322112, 0.167942, -0.328337, -0.481831, 0.587714, 0.189039, -0.366654, 0.000000, 0.000000], [0.560708, 0.127740, 0.251976, 0.206693, -0.509482, -0.546779, 0.056959, 0.035933, 0.000000, 0.000000], [0.158068, 0.458550, 0.099329, 0.733223, 0.303482, 0.325545, 0.134670, 0.032370, 0.000000, 0.000000]]
fourier: [[27.564857, 28.192817, 29.110936, 31.526696, 33.206560], [22.694175, 24.658311, 24.838211, 29.858889, 74.541184], [27.731184, 32.030911, 32.858554, 33.123146, 75.015298], [29.281607, 29.914423, 31.559478, 32.049597, 99.609090], [25.063357, 27.814594, 29.046989, 33.584596, 279.880847], [16.672338, 17.549576, 19.062575, 21.502109, 151.222860], [28.171489, 32.137851, 32.349683, 37.791651, 40.659659], [26.912402, 27.488366, 27.759905, 30.092607, 89.759428]]
### 2
mean: [2.821651, -1.372801, -0.953848, 0.222965, 0.855328, 1.500405, -1.095706, -0.902231]
std: [2.698675, 1.078159, 0.819321, 0.965669, 0.900487, 1.941177, 0.693812, 0.847597]
pca: [[0.709804, 0.182674, 0.477084, 0.171209, -0.406163, 0.108911, 0.048191, 0.163506, 0.000000, 0.000000], [-0.270024, -0.178034, 0.365275, 0.755298, 0.194610, 0.319220, -0.150611, -0.170387, 0.000000, 0.000000], [-0.211118, 0.101868, 0.001540, -0.355707, -0.258970, 0.763951, -0.387584, 0.132720, 0.000000, 0.000000], [-0.054146, 0.853912, 0.092712, -0.002973, 0.436783, 0.136954, 0.215876, -0.056210, 0.000000, 0.000000], [0.222254, -0.232515, -0.411362, 0.127171, 0.087771, 0.511177, 0.663478, 0.044050, 0.000000, 0.000000], [0.506939, -0.254555, 0.068290, -0.260112, 0.636713, 0.139389, -0.341606, -0.253705, 0.000000, 0.000000], [-0.163774, -0.219079, 0.401044, -0.172126, 0.337582, -0.023270, 0.182129, 0.766189, 0.000000, 0.000000], [-0.206293, -0.168921, 0.543736, -0.400272, -0.110657, 0.050863, 0.433707, -0.519719, 0.000000, 0.000000]]
fourier: [[40.900323, 41.269665, 45.661928, 54.064134, 253.948601], [15.677417, 16.314522, 18.488589, 20.592049, 123.552088], [12.999836, 13.439457, 14.038979, 14.095064, 85.846340], [14.390234, 15.508473, 15.545077, 15.907385, 20.066851], [13.534968, 14.522884, 14.968785, 16.224345, 76.979500], [29.993639, 30.597930, 31.062758, 36.233373, 135.036412], [10.805029, 11.944500, 13.585720, 13.676917, 98.613513], [13.454486, 14.739755, 15.372470, 17.177461, 81.200782]]
### 4
mean: [2.247214, -1.277922, -2.120409, -1.629867, -0.801196, -0.394793, 4.216664, -1.975847]
std: [2.736407, 1.176872, 2.209448, 1.554249, 0.432851, 0.906731, 4.198957, 1.655483]
pca: [[0.448581, 0.088551, 0.367160, 0.662275, 0.263613, -0.288706, 0.250175, 0.045696, 0.000000, 0.000000], [-0.181781, 0.662371, -0.299727, 0.271554, -0.244439, -0.320206, -0.350869, 0.281515, 0.000000, 0.000000], [-0.359196, -0.502640, 0.011815, 0.610586, -0.116840, 0.245881, -0.412000, 0.039030, 0.000000, 0.000000], [-0.254504, -0.174009, -0.078809, 0.009559, -0.065050, 0.005118, 0.541064, 0.775653, 0.000000, 0.000000], [-0.059621, 0.361430, -0.370633, 0.295108, 0.171319, 0.657867, 0.360811, -0.221434, 0.000000, 0.000000], [-0.141914, 0.348704, 0.688966, -0.138080, 0.173843, 0.434361, -0.249272, 0.288961, 0.000000, 0.000000], [0.688874, -0.125713, -0.322156, -0.066169, 0.079129, 0.297893, -0.359274, 0.421197, 0.000000, 0.000000], [-0.271468, -0.049680, -0.230606, -0.064882, 0.887154, -0.208409, -0.174387, 0.074572, 0.000000, 0.000000]]
fourier: [[42.456015, 43.027854, 44.989324, 53.717087, 202.249256], [18.117996, 19.180155, 20.325987, 21.754895, 115.012963], [33.606247, 33.635594, 37.193375, 43.652573, 190.836776], [24.005782, 24.088125, 25.786218, 30.580529, 146.688002], [6.444733, 6.949514, 7.667423, 7.892365, 72.107639], [14.170716, 14.714148, 15.455178, 17.777498, 35.531337], [65.081136, 65.929398, 68.948654, 80.724952, 379.499778], [25.559622, 25.756782, 27.492018, 32.681683, 177.826280]]
### 6
mean: [-0.574980, 4.787925, -1.354994, -1.645380, -0.420746, -0.773044, -2.665772, -0.454528]
std: [0.150911, 4.943490, 0.909191, 1.553192, 1.061101, 0.701760, 2.452778, 0.933314]
pca: [[-0.025009, 0.051805, 0.112332, -0.015797, -0.086288, 0.559190, 0.810920, 0.078060, 0.000000, 0.000000], [0.821877, 0.120627, 0.170095, 0.528718, -0.036265, 0.007461, -0.005547, 0.009575, 0.000000, 0.000000], [-0.150982, -0.080065, 0.497667, 0.051188, -0.401354, -0.046963, -0.148231, 0.731600, 0.000000, 0.000000], [-0.258052, 0.279251, 0.484506, 0.160848, -0.435241, 0.061946, -0.118895, -0.622416, 0.000000, 0.000000], [-0.175468, 0.764674, -0.184021, 0.164857, 0.024571, -0.456471, 0.272524, 0.200511, 0.000000, 0.000000], [-0.116307, 0.263596, 0.480244, 0.011423, 0.761003, 0.256540, -0.189673, 0.072884, 0.000000, 0.000000], [-0.407671, -0.413956, -0.038641, 0.757953, 0.189030, -0.153127, 0.162525, -0.029380, 0.000000, 0.000000], [-0.154902, 0.269824, -0.458301, 0.299857, -0.158930, 0.619340, -0.411838, 0.157463, 0.000000, 0.000000]]
fourier: [[2.367212, 2.424644, 2.494184, 2.847642, 51.748230], [77.057429, 77.371022, 81.279557, 95.388394, 430.913195], [14.384038, 14.415969, 14.746393, 17.565474, 121.949452], [23.898256, 24.316625, 25.672539, 29.627468, 148.084240], [16.169877, 16.944792, 18.110850, 19.614767, 37.867186], [10.987908, 11.196542, 11.630289, 13.220535, 69.573920], [38.472660, 38.541616, 39.983340, 47.652569, 239.919438], [14.343371, 14.393318, 15.694865, 17.726137, 40.907514]]
### 8
mean: [3.207587, -1.248539, -1.203544, -0.893645, -1.659279, -1.853871, 3.300553, 3.468533]
std: [3.745692, 0.997497, 1.010297, 0.558323, 1.416559, 1.673164, 3.878675, 3.966496]
pca: [[0.519652, 0.629368, -0.112779, -0.156144, 0.117214, 0.156533, -0.218525, -0.459089, 0.000000, 0.000000], [-0.137976, 0.451959, -0.012925, 0.377637, -0.365667, 0.554602, -0.010252, 0.438769, 0.000000, 0.000000], [-0.140107, 0.228558, -0.513729, 0.598950, 0.023088, -0.541945, 0.008421, -0.105667, 0.000000, 0.000000], [-0.076849, 0.393155, 0.518486, 0.071834, 0.190540, -0.197533, 0.698298, -0.050901, 0.000000, 0.000000], [-0.196464, 0.305122, 0.457427, -0.128268, -0.083352, -0.455730, -0.608522, 0.240155, 0.000000, 0.000000], [-0.232231, 0.031573, -0.003557, 0.167238, 0.883014, 0.268090, -0.212616, 0.142475, 0.000000, 0.000000], [0.538352, 0.063547, -0.234568, -0.196415, 0.170316, -0.235760, 0.156399, 0.709568, 0.000000, 0.000000], [0.550488, -0.307707, 0.435999, 0.621377, 0.006379, 0.006749, -0.156480, -0.038764, 0.000000, 0.000000]]
fourier: [[57.705590, 58.218244, 63.138767, 71.172168, 288.682805], [15.689106, 15.744012, 15.860063, 19.527614, 112.368507], [15.849831, 15.871283, 16.443162, 19.600874, 108.318954], [8.673628, 8.764055, 8.850529, 11.014101, 80.428026], [22.130789, 22.184333, 23.073662, 27.452829, 149.335107], [25.976858, 26.130662, 27.758134, 32.123644, 166.848420], [60.118236, 60.514507, 64.547127, 74.326483, 297.049768], [61.752236, 62.045836, 65.460088, 76.388392, 312.167933]]
### 10
mean: [5.653417, 6.674552, -0.592805, -1.516407, -1.630971, -0.890525, 4.984647, 4.160501]
std: [6.399949, 7.477756, 1.331275, 1.544555, 1.759153, 1.344325, 5.584473, 4.567596]
pca: [[0.509179, 0.223980, 0.621555, 0.251078, 0.408826, 0.069229, 0.261999, 0.025006, 0.000000, 0.000000], [0.594929, -0.270251, -0.430246, -0.114887, 0.140816, -0.078959, 0.062791, -0.587117, 0.000000, 0.000000], [-0.105913, -0.245840, -0.070909, 0.055528, 0.524621, 0.654626, -0.463939, 0.035107, 0.000000, 0.000000], [-0.122869, 0.560524, -0.222928, -0.552862, 0.217553, 0.324794, 0.398702, -0.059827, 0.000000, 0.000000], [-0.139958, 0.032055, -0.433082, 0.713872, 0.026845, 0.203013, 0.487375, 0.052362, 0.000000, 0.000000], [-0.106945, 0.407209, -0.269339, 0.168663, 0.527581, -0.572392, -0.338363, 0.035893, 0.000000, 0.000000], [0.444297, 0.519294, -0.185854, 0.170748, -0.441487, 0.277182, -0.426407, 0.125192, 0.000000, 0.000000], [0.363397, -0.256242, -0.281402, -0.218646, 0.128465, -0.096277, 0.139152, 0.793822, 0.000000, 0.000000]]
fourier: [[100.763787, 101.443034, 104.441166, 122.923369, 508.807592], [117.695428, 118.561724, 122.191952, 143.449014, 600.709724], [20.972925, 21.084821, 21.664922, 25.638939, 53.352411], [24.269983, 24.514874, 25.396978, 29.461878, 136.476599], [27.675808, 27.864260, 28.757450, 33.783836, 146.787358], [21.123546, 21.321562, 22.089906, 25.681450, 80.147239], [87.943500, 88.485753, 91.036926, 107.380746, 448.618214], [71.873194, 72.406561, 74.683136, 87.611705, 374.445038]]
### 12
mean: [-8.270981]
std: [9.918046]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[155.806492, 157.476586, 162.753130, 189.497559, 744.388293]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.138658,
0.093079,
0.037364,
-0.371194
],
[
0.271057,
-0.332378,
0.217979,
-0.054817,
0.093147,
0.260026,
0.349412,
0.064331
],
[
-0.065553,
0.765418,
0.32419,
0.274105,
-0.376319,
0.156432,
0.153188,
-0.079723
],
[
-0.284593,
0.796551,
-0.345968,
0.323568,
0.05619,
0.104756,
0.316808,
-0.276402
]
],
"network.8.bias": [
-0.017448,
-0.159843,
-0.184187,
-0.23454,
-0.236454,
-0.295192,
-0.261267,
-0.313842
],
"network.10.weight": [
[
0.172536,
0.042825,
-0.135471,
-0.132031,
0.087103,
0.195401,
0.750892,
0.76101
],
[
0.469226,
0.076955,
0.065811,
0.408102,
0.540989,
-0.308764,
0.806387,
0.710196
],
[
0.062234,
0.100085,
-0.071679,
0.011353,
-0.093458,
0.276399,
-0.161065,
-0.244328
],
[
-0.36321,
-0.269912,
0.195113,
0.142973,
0.064983,
0.28648,
-0.056272,
-0.006889
],
[
-0.13283,
-0.114121,
-0.286922,
-0.192627,
-0.119257,
0.306424,
0.011788,
-0.340887
],
[
-0.291946,
-0.256841,
0.293513,
-0.235976,
0.044892,
-0.268187,
0.027514,
-0.10223
],
[
-0.006626,
0.123085,
0.085404,
0.400177,
0.271244,
-0.085198,
0.629991,
0.833739
],
[
0.364201,
0.06279,
0.05085,
-0.175453,
-0.248013,
0.04602,
0.319164,
0.529492
]
],
"network.10.bias": [
-0.206154,
-0.192319,
0.618467,
-0.077896,
-0.014217,
0.359524,
-0.116087,
-0.03957
],
"network.12.weight": [
[
-0.504976,
-0.385483,
0.610465,
0.071153,
-0.176096,
0.394782,
-0.169923,
-0.601755
]
],
"network.12.bias": [
0.387059
]
}
## Activation Signature
### 0
mean: [0.368962, 0.828235, 0.833503, -1.106768, -3.109787, -1.680254, -0.359441, -0.997327]
std: [1.717668, 1.459321, 1.846522, 1.934106, 1.619429, 1.110526, 1.906398, 1.636423]
pca: [[0.519630, -0.160773, -0.188292, -0.173464, -0.010867, 0.391574, -0.067871, 0.693209, 0.000000, 0.000000], [0.314241, -0.107470, -0.509190, -0.084234, 0.219899, -0.120377, 0.694139, -0.280460, 0.000000, 0.000000], [0.476896, -0.426205, 0.137743, 0.071868, 0.254622, 0.162154, -0.439431, -0.531560, 0.000000, 0.000000], [0.175498, 0.644309, -0.430214, -0.280813, 0.175864, -0.192459, -0.459985, -0.102812, 0.000000, 0.000000], [0.145379, 0.188350, 0.632180, -0.436636, 0.521471, -0.135976, 0.227512, 0.104421, 0.000000, 0.000000], [0.111777, 0.322112, 0.167942, -0.328337, -0.481831, 0.587714, 0.189039, -0.366654, 0.000000, 0.000000], [0.560708, 0.127740, 0.251976, 0.206693, -0.509482, -0.546779, 0.056959, 0.035933, 0.000000, 0.000000], [0.158068, 0.458550, 0.099329, 0.733223, 0.303482, 0.325545, 0.134670, 0.032370, 0.000000, 0.000000]]
fourier: [[27.564857, 28.192817, 29.110936, 31.526696, 33.206560], [22.694175, 24.658311, 24.838211, 29.858889, 74.541184], [27.731184, 32.030911, 32.858554, 33.123146, 75.015298], [29.281607, 29.914423, 31.559478, 32.049597, 99.609090], [25.063357, 27.814594, 29.046989, 33.584596, 279.880847], [16.672338, 17.549576, 19.062575, 21.502109, 151.222860], [28.171489, 32.137851, 32.349683, 37.791651, 40.659659], [26.912402, 27.488366, 27.759905, 30.092607, 89.759428]]
### 2
mean: [2.821651, -1.372801, -0.953848, 0.222965, 0.855328, 1.500405, -1.095706, -0.902231]
std: [2.698675, 1.078159, 0.819321, 0.965669, 0.900487, 1.941177, 0.693812, 0.847597]
pca: [[0.709804, 0.182674, 0.477084, 0.171209, -0.406163, 0.108911, 0.048191, 0.163506, 0.000000, 0.000000], [-0.270024, -0.178034, 0.365275, 0.755298, 0.194610, 0.319220, -0.150611, -0.170387, 0.000000, 0.000000], [-0.211118, 0.101868, 0.001540, -0.355707, -0.258970, 0.763951, -0.387584, 0.132720, 0.000000, 0.000000], [-0.054146, 0.853912, 0.092712, -0.002973, 0.436783, 0.136954, 0.215876, -0.056210, 0.000000, 0.000000], [0.222254, -0.232515, -0.411362, 0.127171, 0.087771, 0.511177, 0.663478, 0.044050, 0.000000, 0.000000], [0.506939, -0.254555, 0.068290, -0.260112, 0.636713, 0.139389, -0.341606, -0.253705, 0.000000, 0.000000], [-0.163774, -0.219079, 0.401044, -0.172126, 0.337582, -0.023270, 0.182129, 0.766189, 0.000000, 0.000000], [-0.206293, -0.168921, 0.543736, -0.400272, -0.110657, 0.050863, 0.433707, -0.519719, 0.000000, 0.000000]]
fourier: [[40.900323, 41.269665, 45.661928, 54.064134, 253.948601], [15.677417, 16.314522, 18.488589, 20.592049, 123.552088], [12.999836, 13.439457, 14.038979, 14.095064, 85.846340], [14.390234, 15.508473, 15.545077, 15.907385, 20.066851], [13.534968, 14.522884, 14.968785, 16.224345, 76.979500], [29.993639, 30.597930, 31.062758, 36.233373, 135.036412], [10.805029, 11.944500, 13.585720, 13.676917, 98.613513], [13.454486, 14.739755, 15.372470, 17.177461, 81.200782]]
### 4
mean: [2.247214, -1.277922, -2.120409, -1.629867, -0.801196, -0.394793, 4.216664, -1.975847]
std: [2.736407, 1.176872, 2.209448, 1.554249, 0.432851, 0.906731, 4.198957, 1.655483]
pca: [[0.448581, 0.088551, 0.367160, 0.662275, 0.263613, -0.288706, 0.250175, 0.045696, 0.000000, 0.000000], [-0.181781, 0.662371, -0.299727, 0.271554, -0.244439, -0.320206, -0.350869, 0.281515, 0.000000, 0.000000], [-0.359196, -0.502640, 0.011815, 0.610586, -0.116840, 0.245881, -0.412000, 0.039030, 0.000000, 0.000000], [-0.254504, -0.174009, -0.078809, 0.009559, -0.065050, 0.005118, 0.541064, 0.775653, 0.000000, 0.000000], [-0.059621, 0.361430, -0.370633, 0.295108, 0.171319, 0.657867, 0.360811, -0.221434, 0.000000, 0.000000], [-0.141914, 0.348704, 0.688966, -0.138080, 0.173843, 0.434361, -0.249272, 0.288961, 0.000000, 0.000000], [0.688874, -0.125713, -0.322156, -0.066169, 0.079129, 0.297893, -0.359274, 0.421197, 0.000000, 0.000000], [-0.271468, -0.049680, -0.230606, -0.064882, 0.887154, -0.208409, -0.174387, 0.074572, 0.000000, 0.000000]]
fourier: [[42.456015, 43.027854, 44.989324, 53.717087, 202.249256], [18.117996, 19.180155, 20.325987, 21.754895, 115.012963], [33.606247, 33.635594, 37.193375, 43.652573, 190.836776], [24.005782, 24.088125, 25.786218, 30.580529, 146.688002], [6.444733, 6.949514, 7.667423, 7.892365, 72.107639], [14.170716, 14.714148, 15.455178, 17.777498, 35.531337], [65.081136, 65.929398, 68.948654, 80.724952, 379.499778], [25.559622, 25.756782, 27.492018, 32.681683, 177.826280]]
### 6
mean: [-0.574980, 4.787925, -1.354994, -1.645380, -0.420746, -0.773044, -2.665772, -0.454528]
std: [0.150911, 4.943490, 0.909191, 1.553192, 1.061101, 0.701760, 2.452778, 0.933314]
pca: [[-0.025009, 0.051805, 0.112332, -0.015797, -0.086288, 0.559190, 0.810920, 0.078060, 0.000000, 0.000000], [0.821877, 0.120627, 0.170095, 0.528718, -0.036265, 0.007461, -0.005547, 0.009575, 0.000000, 0.000000], [-0.150982, -0.080065, 0.497667, 0.051188, -0.401354, -0.046963, -0.148231, 0.731600, 0.000000, 0.000000], [-0.258052, 0.279251, 0.484506, 0.160848, -0.435241, 0.061946, -0.118895, -0.622416, 0.000000, 0.000000], [-0.175468, 0.764674, -0.184021, 0.164857, 0.024571, -0.456471, 0.272524, 0.200511, 0.000000, 0.000000], [-0.116307, 0.263596, 0.480244, 0.011423, 0.761003, 0.256540, -0.189673, 0.072884, 0.000000, 0.000000], [-0.407671, -0.413956, -0.038641, 0.757953, 0.189030, -0.153127, 0.162525, -0.029380, 0.000000, 0.000000], [-0.154902, 0.269824, -0.458301, 0.299857, -0.158930, 0.619340, -0.411838, 0.157463, 0.000000, 0.000000]]
fourier: [[2.367212, 2.424644, 2.494184, 2.847642, 51.748230], [77.057429, 77.371022, 81.279557, 95.388394, 430.913195], [14.384038, 14.415969, 14.746393, 17.565474, 121.949452], [23.898256, 24.316625, 25.672539, 29.627468, 148.084240], [16.169877, 16.944792, 18.110850, 19.614767, 37.867186], [10.987908, 11.196542, 11.630289, 13.220535, 69.573920], [38.472660, 38.541616, 39.983340, 47.652569, 239.919438], [14.343371, 14.393318, 15.694865, 17.726137, 40.907514]]
### 8
mean: [3.207587, -1.248539, -1.203544, -0.893645, -1.659279, -1.853871, 3.300553, 3.468533]
std: [3.745692, 0.997497, 1.010297, 0.558323, 1.416559, 1.673164, 3.878675, 3.966496]
pca: [[0.519652, 0.629368, -0.112779, -0.156144, 0.117214, 0.156533, -0.218525, -0.459089, 0.000000, 0.000000], [-0.137976, 0.451959, -0.012925, 0.377637, -0.365667, 0.554602, -0.010252, 0.438769, 0.000000, 0.000000], [-0.140107, 0.228558, -0.513729, 0.598950, 0.023088, -0.541945, 0.008421, -0.105667, 0.000000, 0.000000], [-0.076849, 0.393155, 0.518486, 0.071834, 0.190540, -0.197533, 0.698298, -0.050901, 0.000000, 0.000000], [-0.196464, 0.305122, 0.457427, -0.128268, -0.083352, -0.455730, -0.608522, 0.240155, 0.000000, 0.000000], [-0.232231, 0.031573, -0.003557, 0.167238, 0.883014, 0.268090, -0.212616, 0.142475, 0.000000, 0.000000], [0.538352, 0.063547, -0.234568, -0.196415, 0.170316, -0.235760, 0.156399, 0.709568, 0.000000, 0.000000], [0.550488, -0.307707, 0.435999, 0.621377, 0.006379, 0.006749, -0.156480, -0.038764, 0.000000, 0.000000]]
fourier: [[57.705590, 58.218244, 63.138767, 71.172168, 288.682805], [15.689106, 15.744012, 15.860063, 19.527614, 112.368507], [15.849831, 15.871283, 16.443162, 19.600874, 108.318954], [8.673628, 8.764055, 8.850529, 11.014101, 80.428026], [22.130789, 22.184333, 23.073662, 27.452829, 149.335107], [25.976858, 26.130662, 27.758134, 32.123644, 166.848420], [60.118236, 60.514507, 64.547127, 74.326483, 297.049768], [61.752236, 62.045836, 65.460088, 76.388392, 312.167933]]
### 10
mean: [5.653417, 6.674552, -0.592805, -1.516407, -1.630971, -0.890525, 4.984647, 4.160501]
std: [6.399949, 7.477756, 1.331275, 1.544555, 1.759153, 1.344325, 5.584473, 4.567596]
pca: [[0.509179, 0.223980, 0.621555, 0.251078, 0.408826, 0.069229, 0.261999, 0.025006, 0.000000, 0.000000], [0.594929, -0.270251, -0.430246, -0.114887, 0.140816, -0.078959, 0.062791, -0.587117, 0.000000, 0.000000], [-0.105913, -0.245840, -0.070909, 0.055528, 0.524621, 0.654626, -0.463939, 0.035107, 0.000000, 0.000000], [-0.122869, 0.560524, -0.222928, -0.552862, 0.217553, 0.324794, 0.398702, -0.059827, 0.000000, 0.000000], [-0.139958, 0.032055, -0.433082, 0.713872, 0.026845, 0.203013, 0.487375, 0.052362, 0.000000, 0.000000], [-0.106945, 0.407209, -0.269339, 0.168663, 0.527581, -0.572392, -0.338363, 0.035893, 0.000000, 0.000000], [0.444297, 0.519294, -0.185854, 0.170748, -0.441487, 0.277182, -0.426407, 0.125192, 0.000000, 0.000000], [0.363397, -0.256242, -0.281402, -0.218646, 0.128465, -0.096277, 0.139152, 0.793822, 0.000000, 0.000000]]
fourier: [[100.763787, 101.443034, 104.441166, 122.923369, 508.807592], [117.695428, 118.561724, 122.191952, 143.449014, 600.709724], [20.972925, 21.084821, 21.664922, 25.638939, 53.352411], [24.269983, 24.514874, 25.396978, 29.461878, 136.476599], [27.675808, 27.864260, 28.757450, 33.783836, 146.787358], [21.123546, 21.321562, 22.089906, 25.681450, 80.147239], [87.943500, 88.485753, 91.036926, 107.380746, 448.618214], [71.873194, 72.406561, 74.683136, 87.611705, 374.445038]]
### 12
mean: [-8.270981]
std: [9.918046]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[155.806492, 157.476586, 162.753130, 189.497559, 744.388293]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.36896181106567383, "std": 1.7176681756973267, "pca": [0.5196300148963928, -0.160772904753685, -0.18829233944416046, -0.17346377670764923, -0.010866962373256683, 0.3915739953517914, -0.0678710788488388, 0.6932086944580078, 0.0, 0.0], "fourier": [27.56485697789217, 28.19281658196044, 29.110936302149423, 31.526696453391107, 33.20655956864357]}, "1": {"mean": 0.828235387802124, "std": 1.459321141242981, "pca": [0.31424081325531006, -0.10747022181749344, -0.5091899037361145, -0.08423402905464172, 0.21989858150482178, -0.12037675082683563, 0.694139301776886, -0.28046005964279175, 0.0, 0.0], "fourier": [22.694175277452914, 24.658311184723825, 24.838211303559206, 29.858888917782913, 74.54118417203426]}, "2": {"mean": 0.8335033059120178, "std": 1.846522331237793, "pca": [0.47689563035964966, -0.4262046217918396, 0.13774250447750092, 0.07186818867921829, 0.2546224594116211, 0.16215379536151886, -0.43943116068840027, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.785034, -0.008158, 0.397167, 0.125367, 0.420794], [-0.352727, -0.133799, 0.460431, 0.082114, 0.529284], [-0.748462, -0.083998, 0.483459, 0.46525, -0.080627], [-0.040477, -0.241529, -0.359872, -0.424344, 0.905326], [-0.344932, -0.279969, -0.294176, -0.128238, -0.343447], [-0.281374, 0.189766, -0.373167, -0.366461, 0.231104], [-0.811862, 0.187022, -0.282376, 0.20676, 0.41125], [0.16302, -0.286023, -0.684492, 0.352248, 0.395008]], "network.0.bias": [-0.256699, -0.279667, 0.00983, -0.071131, -0.857289, -0.395565, -0.050662, -0.491723], "network.2.weight": [[0.986587, 0.131417, 0.681458, 0.485245, 0.147483, 0.14864, 0.995926, 0.377269], [0.107668, -0.116019, -0.677698, -0.657675, -0.379429, 0.053326, -0.208636, 0.075034], [-0.2073, -0.241257, -0.015129, -0.105918, -0.108384, 0.116129, -0.476648, 0.036019], [0.328007, -0.192819, 0.390647, -0.370379, 0.030946, -0.206968, -0.330119, -0.616208], [0.233608, 0.141981, 0.080182, 0.537476, 0.128984, -0.186588, 0.100079, 0.241734], [0.608817, 0.046903, 0.349474, 0.835824, 0.29931, 0.688491, 0.808123, 0.04096], [-0.072446, -0.238488, -0.31974, -0.144749, -0.180023, 0.196099, 0.073488, -0.117673], [-0.197519, -0.32383, -0.244718, -0.194571, -0.233323, 0.018656, 0.018021, -0.003039]], "network.2.bias": [0.21792, -0.181644, -0.226513, 0.124066, 0.10817, -0.241833, -0.352024, -0.031932], "network.4.weight": [[0.599667, 0.107033, 0.150626, 0.126728, -0.193117, 0.683618, 0.154051, 0.170417], [-0.468213, -0.530976, -0.334353, -0.556466, 0.018112, 0.122297, -0.177667, 0.195894], [-0.551423, -0.071425, 0.416458, 0.317907, -0.48414, -0.193266, 0.132666, 0.018164], [-0.359705, -0.15427, -0.384486, 0.039401, -0.123384, -0.264528, -0.271941, 0.110259], [-0.284468, -0.213636, -0.154691, -0.17941, 0.125748, 0.176659, -0.110065, 0.142574], [-0.02434, 0.261833, 0.17183, -0.690893, -0.503489, -0.146364, -0.343768, -0.239293], [0.904065, -0.009633, 0.022878, 0.641817, 0.691918, 0.590858, -0.130276, 0.332902], [-0.427094, 0.070633, -0.024134, -0.033463, 0.002282, -0.27249, -0.31324, -0.213376]], "network.4.bias": [-0.409102, 0.08793, 0.008729, -0.112378, -0.301875, 0.646935, -0.143342, -0.330214], "network.6.weight": [[0.039798, 0.182144, -0.155629, 0.110237, -0.028076, -0.004513, -0.061199, -0.236001], [0.654067, 0.039365, 0.211982, -0.000801, -0.078301, -0.52633, 0.743041, -0.116867], [0.105737, -0.089551, 0.220108, 0.276074, 0.045164, -0.234272, -0.292398, -0.047492], [0.076747, 0.025539, -0.464997, -0.463146, -0.278464, 0.120344, -0.413611, -0.028017], [-0.094929, -0.291787, -0.051211, -0.019659, -0.117227, 0.805483, -0.159873, -0.207246], [0.169729, -0.325872, -0.232224, -0.26002, 0.235042, 0.019352, -0.273315, -0.051083], [-0.353675, 0.142282, 0.065089, -0.049748, -0.03652, -0.038194, -0.361745, -0.000234], [-0.271189, 0.146891, 0.525922, 0.477024, -0.329687, 0.556839, -0.028554, 0.401029]], "network.6.bias": [-0.408718, 0.229675, -0.324888, -0.102165, 0.325598, -0.019169, -0.310219, 0.194223], "network.8.weight": [[-0.074536, 0.71774, -0.046161, 0.146892, -0.570836, 0.109848, 0.272946, -0.461432], [-0.299456, -0.213574, -0.35091, -0.009799, -0.168921, -0.252661, 0.128925, -0.158387], [0.034153, -0.20834, 0.346516, 0.283829, -0.279771, -0.299774, 0.286764, 0.277514], [0.034666, -0.124179, 0.27405, -0.128117, 0.066239, -0.520536, -0.03925, -0.494994], [0.05659, -0.291505, -0.321619, 0.130038, 0.138658, 0.093079, 0.037364, -0.371194], [0.271057, -0.332378, 0.217979, -0.054817, 0.093147, 0.260026, 0.349412, 0.064331], [-0.065553, 0.765418, 0.32419, 0.274105, -0.376319, 0.156432, 0.153188, -0.079723], [-0.284593, 0.796551, -0.345968, 0.323568, 0.05619, 0.104756, 0.316808, -0.276402]], "network.8.bias": [-0.017448, -0.159843, -0.184187, -0.23454, -0.236454, -0.295192, -0.261267, -0.313842], "network.10.weight": [[0.172536, 0.042825, -0.135471, -0.132031, 0.087103, 0.195401, 0.750892, 0.76101], [0.469226, 0.076955, 0.065811, 0.408102, 0.540989, -0.308764, 0.806387, 0.710196], [0.062234, 0.100085, -0.071679, 0.011353, -0.093458, 0.276399, -0.161065, -0.244328], [-0.36321, -0.269912, 0.195113, 0.142973, 0.064983, 0.28648, -0.056272, -0.006889], [-0.13283, -0.114121, -0.286922, -0.192627, -0.119257, 0.306424, 0.011788, -0.340887], [-0.291946, -0.256841, 0.293513, -0.235976, 0.044892, -0.268187, 0.027514, -0.10223], [-0.006626, 0.123085, 0.085404, 0.400177, 0.271244, -0.085198, 0.629991, 0.833739], [0.364201, 0.06279, 0.05085, -0.175453, -0.248013, 0.04602, 0.319164, 0.529492]], "network.10.bias": [-0.206154, -0.192319, 0.618467, -0.077896, -0.014217, 0.359524, -0.116087, -0.03957], "network.12.weight": [[-0.504976, -0.385483, 0.610465, 0.071153, -0.176096, 0.394782, -0.169923, -0.601755]], "network.12.bias": [0.387059]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6984262466430664, "train_acc": 0.515, "val_loss": 0.6952366828918457, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6960970163345337, "train_acc": 0.575, "val_loss": 0.7090513706207275, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6803545653820038, "train_acc": 0.575, "val_loss": 0.6897744536399841, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6486968994140625, "train_acc": 0.575, "val_loss": 0.6512690782546997, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6230323910713196, "train_acc": 0.495, "val_loss": 0.5185167789459229, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5019358098506927, "train_acc": 0.64, "val_loss": 0.44234776496887207, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.390951469540596, "train_acc": 0.92, "val_loss": 0.36962395906448364, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3114727884531021, "train_acc": 0.94, "val_loss": 0.3044615089893341, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2564728483557701, "train_acc": 0.95, "val_loss": 0.24345889687538147, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.21577181667089462, "train_acc": 0.955, "val_loss": 0.2150091975927353, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.18643055111169815, "train_acc": 0.96, "val_loss": 0.1969337910413742, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.15552237629890442, "train_acc": 0.96, "val_loss": 0.18903256952762604, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.15838737785816193, "train_acc": 0.955, "val_loss": 0.19513560831546783, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.15363073348999023, "train_acc": 0.96, "val_loss": 0.2398184984922409, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6952366828918457, "final_val_loss": 0.6512690782546997, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5185167789459229, "final_val_loss": 0.2398184984922409, "initial_val_acc": 0.52, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.41999999999999993, "first_improvement_epoch": 3}}
|
40
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9575, "learning_rate": 0.08435096790732609, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.430884,
-0.139602,
0.639414,
0.268081
],
[
-0.232321,
0.114897,
0.040467,
-0.603608,
-0.41531,
0.44741
],
[
-0.441053,
-0.17161,
-0.260359,
-0.057819,
-0.066834,
0.143556
]
],
"network.10.bias": [
0.332309,
0.132768,
0.004723,
-0.000346,
0.225898,
0.246241
],
"network.12.weight": [
[
0.460066,
-0.607991,
-0.156253,
-0.077513,
-0.032218,
0.160208
]
],
"network.12.bias": [
0.61989
]
}
## Activation Signature
### 0
mean: [-0.935070, 4.881996, -1.481920, -1.270998, 0.806597, 3.737087]
std: [2.758777, 2.937152, 2.997117, 2.197574, 2.469236, 2.401572]
pca: [[0.463694, 0.175568, 0.063367, 0.722489, -0.417272, -0.232472, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436062, 0.667383, -0.167030, 0.154714, 0.301186, -0.471063, 0.000000, 0.000000, 0.000000, 0.000000], [0.486791, 0.362675, 0.305436, -0.627381, -0.152213, -0.348474, 0.000000, 0.000000, 0.000000, 0.000000], [0.345408, 0.214337, 0.400911, 0.214683, 0.704528, 0.362732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334329, -0.367210, 0.749978, 0.119473, 0.028342, -0.419329, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356075, 0.459845, 0.389356, -0.010236, -0.463507, 0.543333, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.706018, 42.428583, 48.559133, 55.591874, 84.156328], [48.696970, 50.712712, 51.348090, 53.923209, 439.379617], [48.916410, 49.351300, 49.565253, 50.738396, 133.372782], [34.821140, 35.320953, 36.839101, 38.548328, 114.389829], [35.756682, 37.958836, 44.913104, 49.368984, 72.593741], [38.576851, 39.485457, 43.122734, 47.588629, 336.337856]]
### 2
mean: [-0.500212, 5.213713, 0.190786, -2.592601, -1.469660, -2.342611]
std: [1.701975, 3.982373, 2.015142, 1.577255, 0.988010, 1.635128]
pca: [[-0.345678, -0.189188, -0.327096, -0.165562, 0.786902, 0.301824, 0.000000, 0.000000, 0.000000, 0.000000], [0.838585, -0.248312, -0.244211, 0.082678, 0.069312, 0.404769, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327514, -0.503699, 0.134367, 0.679607, -0.198775, 0.345818, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239110, 0.414412, -0.520072, -0.109129, -0.449806, 0.535144, 0.000000, 0.000000, 0.000000, 0.000000], [0.036995, 0.341264, 0.723980, -0.113922, 0.158301, 0.565673, 0.000000, 0.000000, 0.000000, 0.000000], [0.107120, 0.600531, -0.143850, 0.692098, 0.330280, -0.138236, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.207974, 26.947548, 33.670626, 40.817988, 45.019084], [64.811377, 66.253531, 69.859989, 83.470894, 469.234177], [26.890140, 30.375513, 32.289057, 39.125463, 43.900561], [26.001206, 29.746027, 30.413991, 31.410172, 233.334063], [14.418456, 14.587016, 17.034746, 17.842091, 132.269401], [23.746810, 24.065852, 24.807600, 34.457106, 210.834980]]
### 4
mean: [4.628089, 4.966736, 2.145022, -1.617332, -1.716189, -1.504535]
std: [3.470977, 3.593596, 1.494174, 1.693414, 1.840616, 1.979223]
pca: [[0.622160, -0.156994, 0.615185, -0.238711, 0.238473, -0.309780, 0.000000, 0.000000, 0.000000, 0.000000], [0.622549, -0.390350, -0.545501, 0.258113, -0.302332, -0.066785, 0.000000, 0.000000, 0.000000, 0.000000], [0.268981, -0.041571, 0.106407, -0.005940, 0.204100, 0.934295, 0.000000, 0.000000, 0.000000, 0.000000], [0.185023, 0.521967, 0.348532, 0.668114, -0.354016, 0.011846, 0.000000, 0.000000, 0.000000, 0.000000], [0.233792, 0.506384, -0.405404, 0.123469, 0.697675, -0.150230, 0.000000, 0.000000, 0.000000, 0.000000], [0.253192, 0.540719, -0.163790, -0.644002, -0.444961, 0.062929, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.754367, 56.035792, 59.842343, 79.576468, 416.528052], [57.337127, 59.745646, 61.870148, 78.469450, 447.006299], [23.555344, 23.625123, 26.151240, 34.701336, 193.052004], [24.844027, 25.716228, 29.331483, 33.766539, 145.559864], [27.205519, 30.397312, 34.544978, 35.638386, 154.456990], [29.587520, 32.853606, 36.960097, 38.309284, 135.408113]]
### 6
mean: [-4.143022, -1.157178, 9.798285, -5.740216, -8.997411, -1.106433]
std: [2.726438, 1.117751, 6.431847, 3.457937, 6.449860, 0.390925]
pca: [[0.267654, 0.258081, 0.734258, 0.557656, 0.103450, -0.030651, 0.000000, 0.000000, 0.000000, 0.000000], [0.109650, -0.238020, -0.131115, 0.367107, -0.528730, 0.706972, 0.000000, 0.000000, 0.000000, 0.000000], [-0.631505, 0.341704, -0.351654, 0.574623, 0.173659, -0.020735, 0.000000, 0.000000, 0.000000, 0.000000], [0.339370, -0.532000, -0.318645, 0.471712, 0.011893, -0.526892, 0.000000, 0.000000, 0.000000, 0.000000], [0.633205, 0.580312, -0.467407, 0.018921, 0.166634, 0.125280, 0.000000, 0.000000, 0.000000, 0.000000], [0.037662, -0.374424, -0.003146, 0.034511, 0.807265, 0.453333, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.075007, 47.235041, 47.760118, 58.860880, 372.871927], [17.781625, 19.191870, 19.264686, 24.766656, 104.146009], [104.332818, 111.127372, 111.555771, 140.625358, 881.845619], [55.370125, 59.618415, 59.620084, 76.266712, 516.619418], [105.901043, 110.970194, 113.242281, 139.547238, 809.766999], [6.136179, 6.200887, 6.684932, 9.019779, 99.578966]]
### 8
mean: [7.383368, 3.345777, -3.719478, -0.553243, -1.670766, 6.388672]
std: [4.754479, 2.544140, 2.955454, 0.617723, 1.415522, 4.440139]
pca: [[0.614303, -0.242261, -0.570028, -0.178214, 0.180719, -0.417839, 0.000000, 0.000000, 0.000000, 0.000000], [0.328596, 0.626701, -0.398139, 0.176407, -0.088533, 0.549362, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381861, -0.147327, -0.314561, -0.411963, 0.633628, 0.402902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079163, 0.718722, 0.173095, -0.283047, 0.340133, -0.501402, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182893, -0.008328, -0.164563, 0.828041, 0.466056, -0.191154, 0.000000, 0.000000, 0.000000, 0.000000], [0.573691, -0.101092, 0.600468, 0.040500, 0.474467, 0.270810, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.096797, 81.216103, 82.302475, 105.078254, 664.503118], [41.153060, 43.778639, 44.023047, 55.757692, 301.119972], [47.495616, 51.176952, 51.222531, 64.837811, 334.753057], [10.060056, 10.095518, 10.664371, 13.960415, 49.791828], [22.672698, 24.429922, 24.455440, 31.175323, 150.368942], [70.987358, 76.770766, 76.920413, 97.632949, 574.980421]]
### 10
mean: [-3.052680, 10.436909, 1.644618, -2.318425, 1.804877, -2.670062]
std: [2.711116, 7.008154, 1.123762, 1.557964, 1.236468, 1.868489]
pca: [[-0.335554, 0.603393, 0.010273, 0.060897, 0.711410, -0.115765, 0.000000, 0.000000, 0.000000, 0.000000], [0.868438, -0.003403, -0.241083, 0.128459, 0.411689, 0.041153, 0.000000, 0.000000, 0.000000, 0.000000], [0.138778, 0.399669, 0.450399, 0.576109, -0.252599, 0.471633, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192737, -0.402463, -0.124224, 0.789850, 0.122319, -0.382909, 0.000000, 0.000000, 0.000000, 0.000000], [0.152905, -0.269535, 0.850430, -0.153684, 0.251790, -0.306143, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231153, -0.491471, 0.015879, -0.020147, 0.426898, 0.722582, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.852084, 46.344715, 46.638185, 60.292879, 274.741180], [112.284169, 121.255501, 121.405191, 154.091452, 939.321857], [18.942135, 19.826134, 20.078741, 23.858855, 148.015667], [25.907730, 27.251110, 27.602826, 33.454164, 208.658278], [19.734732, 21.623457, 21.700564, 26.964758, 162.438927], [30.976594, 32.573073, 32.868100, 40.314608, 240.305571]]
### 12
mean: [-6.003969]
std: [4.529333]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.532948, 77.933124, 78.308984, 100.045104, 540.357226]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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]
],
"network.0.bias": [
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0.872385,
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0.569087
],
"network.2.weight": [
[
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],
[
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]
],
"network.2.bias": [
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[
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[
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]
],
"network.4.bias": [
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"network.6.weight": [
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],
"network.6.bias": [
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"network.8.weight": [
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]
],
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],
"network.10.weight": [
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],
[
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[
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[
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],
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.935070, 4.881996, -1.481920, -1.270998, 0.806597, 3.737087]
std: [2.758777, 2.937152, 2.997117, 2.197574, 2.469236, 2.401572]
pca: [[0.463694, 0.175568, 0.063367, 0.722489, -0.417272, -0.232472, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436062, 0.667383, -0.167030, 0.154714, 0.301186, -0.471063, 0.000000, 0.000000, 0.000000, 0.000000], [0.486791, 0.362675, 0.305436, -0.627381, -0.152213, -0.348474, 0.000000, 0.000000, 0.000000, 0.000000], [0.345408, 0.214337, 0.400911, 0.214683, 0.704528, 0.362732, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334329, -0.367210, 0.749978, 0.119473, 0.028342, -0.419329, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356075, 0.459845, 0.389356, -0.010236, -0.463507, 0.543333, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.706018, 42.428583, 48.559133, 55.591874, 84.156328], [48.696970, 50.712712, 51.348090, 53.923209, 439.379617], [48.916410, 49.351300, 49.565253, 50.738396, 133.372782], [34.821140, 35.320953, 36.839101, 38.548328, 114.389829], [35.756682, 37.958836, 44.913104, 49.368984, 72.593741], [38.576851, 39.485457, 43.122734, 47.588629, 336.337856]]
### 2
mean: [-0.500212, 5.213713, 0.190786, -2.592601, -1.469660, -2.342611]
std: [1.701975, 3.982373, 2.015142, 1.577255, 0.988010, 1.635128]
pca: [[-0.345678, -0.189188, -0.327096, -0.165562, 0.786902, 0.301824, 0.000000, 0.000000, 0.000000, 0.000000], [0.838585, -0.248312, -0.244211, 0.082678, 0.069312, 0.404769, 0.000000, 0.000000, 0.000000, 0.000000], [-0.327514, -0.503699, 0.134367, 0.679607, -0.198775, 0.345818, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239110, 0.414412, -0.520072, -0.109129, -0.449806, 0.535144, 0.000000, 0.000000, 0.000000, 0.000000], [0.036995, 0.341264, 0.723980, -0.113922, 0.158301, 0.565673, 0.000000, 0.000000, 0.000000, 0.000000], [0.107120, 0.600531, -0.143850, 0.692098, 0.330280, -0.138236, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.207974, 26.947548, 33.670626, 40.817988, 45.019084], [64.811377, 66.253531, 69.859989, 83.470894, 469.234177], [26.890140, 30.375513, 32.289057, 39.125463, 43.900561], [26.001206, 29.746027, 30.413991, 31.410172, 233.334063], [14.418456, 14.587016, 17.034746, 17.842091, 132.269401], [23.746810, 24.065852, 24.807600, 34.457106, 210.834980]]
### 4
mean: [4.628089, 4.966736, 2.145022, -1.617332, -1.716189, -1.504535]
std: [3.470977, 3.593596, 1.494174, 1.693414, 1.840616, 1.979223]
pca: [[0.622160, -0.156994, 0.615185, -0.238711, 0.238473, -0.309780, 0.000000, 0.000000, 0.000000, 0.000000], [0.622549, -0.390350, -0.545501, 0.258113, -0.302332, -0.066785, 0.000000, 0.000000, 0.000000, 0.000000], [0.268981, -0.041571, 0.106407, -0.005940, 0.204100, 0.934295, 0.000000, 0.000000, 0.000000, 0.000000], [0.185023, 0.521967, 0.348532, 0.668114, -0.354016, 0.011846, 0.000000, 0.000000, 0.000000, 0.000000], [0.233792, 0.506384, -0.405404, 0.123469, 0.697675, -0.150230, 0.000000, 0.000000, 0.000000, 0.000000], [0.253192, 0.540719, -0.163790, -0.644002, -0.444961, 0.062929, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.754367, 56.035792, 59.842343, 79.576468, 416.528052], [57.337127, 59.745646, 61.870148, 78.469450, 447.006299], [23.555344, 23.625123, 26.151240, 34.701336, 193.052004], [24.844027, 25.716228, 29.331483, 33.766539, 145.559864], [27.205519, 30.397312, 34.544978, 35.638386, 154.456990], [29.587520, 32.853606, 36.960097, 38.309284, 135.408113]]
### 6
mean: [-4.143022, -1.157178, 9.798285, -5.740216, -8.997411, -1.106433]
std: [2.726438, 1.117751, 6.431847, 3.457937, 6.449860, 0.390925]
pca: [[0.267654, 0.258081, 0.734258, 0.557656, 0.103450, -0.030651, 0.000000, 0.000000, 0.000000, 0.000000], [0.109650, -0.238020, -0.131115, 0.367107, -0.528730, 0.706972, 0.000000, 0.000000, 0.000000, 0.000000], [-0.631505, 0.341704, -0.351654, 0.574623, 0.173659, -0.020735, 0.000000, 0.000000, 0.000000, 0.000000], [0.339370, -0.532000, -0.318645, 0.471712, 0.011893, -0.526892, 0.000000, 0.000000, 0.000000, 0.000000], [0.633205, 0.580312, -0.467407, 0.018921, 0.166634, 0.125280, 0.000000, 0.000000, 0.000000, 0.000000], [0.037662, -0.374424, -0.003146, 0.034511, 0.807265, 0.453333, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.075007, 47.235041, 47.760118, 58.860880, 372.871927], [17.781625, 19.191870, 19.264686, 24.766656, 104.146009], [104.332818, 111.127372, 111.555771, 140.625358, 881.845619], [55.370125, 59.618415, 59.620084, 76.266712, 516.619418], [105.901043, 110.970194, 113.242281, 139.547238, 809.766999], [6.136179, 6.200887, 6.684932, 9.019779, 99.578966]]
### 8
mean: [7.383368, 3.345777, -3.719478, -0.553243, -1.670766, 6.388672]
std: [4.754479, 2.544140, 2.955454, 0.617723, 1.415522, 4.440139]
pca: [[0.614303, -0.242261, -0.570028, -0.178214, 0.180719, -0.417839, 0.000000, 0.000000, 0.000000, 0.000000], [0.328596, 0.626701, -0.398139, 0.176407, -0.088533, 0.549362, 0.000000, 0.000000, 0.000000, 0.000000], [-0.381861, -0.147327, -0.314561, -0.411963, 0.633628, 0.402902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.079163, 0.718722, 0.173095, -0.283047, 0.340133, -0.501402, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182893, -0.008328, -0.164563, 0.828041, 0.466056, -0.191154, 0.000000, 0.000000, 0.000000, 0.000000], [0.573691, -0.101092, 0.600468, 0.040500, 0.474467, 0.270810, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.096797, 81.216103, 82.302475, 105.078254, 664.503118], [41.153060, 43.778639, 44.023047, 55.757692, 301.119972], [47.495616, 51.176952, 51.222531, 64.837811, 334.753057], [10.060056, 10.095518, 10.664371, 13.960415, 49.791828], [22.672698, 24.429922, 24.455440, 31.175323, 150.368942], [70.987358, 76.770766, 76.920413, 97.632949, 574.980421]]
### 10
mean: [-3.052680, 10.436909, 1.644618, -2.318425, 1.804877, -2.670062]
std: [2.711116, 7.008154, 1.123762, 1.557964, 1.236468, 1.868489]
pca: [[-0.335554, 0.603393, 0.010273, 0.060897, 0.711410, -0.115765, 0.000000, 0.000000, 0.000000, 0.000000], [0.868438, -0.003403, -0.241083, 0.128459, 0.411689, 0.041153, 0.000000, 0.000000, 0.000000, 0.000000], [0.138778, 0.399669, 0.450399, 0.576109, -0.252599, 0.471633, 0.000000, 0.000000, 0.000000, 0.000000], [-0.192737, -0.402463, -0.124224, 0.789850, 0.122319, -0.382909, 0.000000, 0.000000, 0.000000, 0.000000], [0.152905, -0.269535, 0.850430, -0.153684, 0.251790, -0.306143, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231153, -0.491471, 0.015879, -0.020147, 0.426898, 0.722582, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.852084, 46.344715, 46.638185, 60.292879, 274.741180], [112.284169, 121.255501, 121.405191, 154.091452, 939.321857], [18.942135, 19.826134, 20.078741, 23.858855, 148.015667], [25.907730, 27.251110, 27.602826, 33.454164, 208.658278], [19.734732, 21.623457, 21.700564, 26.964758, 162.438927], [30.976594, 32.573073, 32.868100, 40.314608, 240.305571]]
### 12
mean: [-6.003969]
std: [4.529333]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.532948, 77.933124, 78.308984, 100.045104, 540.357226]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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"model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.005427, -0.446923, -0.308975, 0.22647, 0.584223], [0.631866, 0.413783, 0.846464, 0.535401, -0.362452], [-0.481568, -1.118581, -0.389432, 0.529124, 0.610847], [-0.597915, -0.796813, 0.066201, 0.186464, 0.400573], [0.541381, 0.378696, 0.435244, -0.803244, 0.143101], [0.625769, 0.274324, 0.643625, 0.156043, 0.170513]], "network.0.bias": [0.569741, 0.872385, 0.081095, -0.107146, 0.079654, 0.569087], "network.2.weight": [[0.443207, -0.1047, 0.337558, 0.489644, -0.447891, 0.011469], [-0.288487, 0.578598, -0.544206, -0.44293, 0.716106, 0.350363], [0.760518, -0.218251, 0.62995, 0.52591, -0.326947, 0.324513], [-0.324436, -0.169435, -0.141608, -0.121206, -0.470704, -0.188286], [-0.34435, -0.088964, -0.259371, -0.165209, 0.361808, -0.313985], [-0.934913, -0.161908, -0.633595, -0.118323, -0.072657, -0.076417]], "network.2.bias": [0.172975, 0.534705, -0.182805, -0.196998, -0.086325, -0.462036], "network.4.weight": [[-0.453227, 0.759231, -0.295436, -0.248388, -0.256364, -0.920768], [0.244491, 0.876988, -0.381978, 0.029491, -0.435166, -0.28858], [-0.13246, 0.311269, -0.207525, -0.063855, -0.024291, -0.326863], [-0.531599, -0.10516, -0.71439, 0.138839, 0.59617, 0.383306], [-0.231016, -0.047495, -0.931747, 0.241682, 0.456302, 0.371764], [-0.448691, -0.038277, -0.868784, -0.319347, 0.244193, 0.602238]], "network.4.bias": [0.830872, 0.416598, 0.633823, -0.400839, -0.785705, -0.628505], "network.6.weight": [[-0.507733, -0.321815, 0.003316, -0.289472, 0.350562, -0.222189], [-0.159258, -0.056672, -0.29061, 0.187041, 0.136255, 0.356355], [1.030402, 0.691919, 0.511658, -0.954804, -1.048721, -0.577066], [-0.467301, -0.264298, -0.737123, 0.555895, 0.61689, 0.686445], [-0.51037, -0.954325, -1.082709, -0.159328, 0.043649, -0.233296], [-0.126479, 0.057225, -0.115654, 0.096332, 0.446332, 0.517942]], "network.6.bias": [-0.136013, 0.606907, -0.027774, -0.346114, 0.511967, -0.397056], "network.8.weight": [[0.08132, -0.515672, 0.728911, 0.284764, -0.784124, -0.084595], [-0.057746, 0.25612, 0.394078, 0.557137, -0.295805, 0.066421], [-0.330478, 0.27701, -0.449159, -0.659657, 0.222611, -0.490416], [-0.402725, 0.353252, -0.083936, -0.093371, 0.465604, -0.638223], [0.12961, 0.192519, -0.21359, -0.669301, 0.082023, -0.569072], [0.316105, -0.730735, 0.679508, 0.508264, -0.22962, -0.23432]], "network.8.bias": [0.240936, -0.48509, 0.59438, 0.168689, 0.340462, -0.293612], "network.10.weight": [[0.348885, -0.642942, 0.805501, 0.430935, 0.736419, -0.593146], [0.704919, 0.423113, -0.487616, -0.384251, -0.421979, 0.571509], [0.063387, 0.073687, 0.142662, -0.27507, 0.433473, 0.142598], [-0.332797, -0.466887, -0.430884, -0.139602, 0.639414, 0.268081], [-0.232321, 0.114897, 0.040467, -0.603608, -0.41531, 0.44741], [-0.441053, -0.17161, -0.260359, -0.057819, -0.066834, 0.143556]], "network.10.bias": [0.332309, 0.132768, 0.004723, -0.000346, 0.225898, 0.246241], "network.12.weight": [[0.460066, -0.607991, -0.156253, -0.077513, -0.032218, 0.160208]], "network.12.bias": [0.61989]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7200360596179962, "train_acc": 0.45, "val_loss": 0.6914308071136475, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6918824017047882, "train_acc": 0.575, "val_loss": 0.6546519994735718, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6691897809505463, "train_acc": 0.475, "val_loss": 0.4656662344932556, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5028018802404404, "train_acc": 0.77, "val_loss": 0.365354984998703, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4049157500267029, "train_acc": 0.85, "val_loss": 0.2542485296726227, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.338379830121994, "train_acc": 0.86, "val_loss": 0.2744098901748657, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.31243227422237396, "train_acc": 0.885, "val_loss": 0.28589189052581787, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3296419233083725, "train_acc": 0.87, "val_loss": 0.2593061923980713, "val_acc": 0.9}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6914308071136475, "final_val_loss": 0.6546519994735718, "initial_val_acc": 0.64, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.4656662344932556, "final_val_loss": 0.2593061923980713, "initial_val_acc": 0.8, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
41
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.74, "improved_accuracy": 0.96, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6322, "learning_rate": 0.045238552165504674, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.472333, 1.243579, 0.216102, -1.452785, 0.940646, 0.590999, 1.204964, 0.755945]
std: [1.219361, 1.478699, 1.178252, 2.094813, 1.442535, 1.579074, 0.762143, 1.043880]
pca: [[0.212562, 0.557583, -0.206078, 0.178076, 0.433224, -0.465574, -0.245072, -0.324402, 0.000000, 0.000000], [-0.437798, 0.162276, -0.152149, 0.148788, 0.356401, -0.057001, -0.063536, 0.776147, 0.000000, 0.000000], [0.285165, 0.295720, -0.390717, -0.241460, -0.127357, -0.076674, 0.751433, 0.183081, 0.000000, 0.000000], [0.611241, -0.259454, 0.227233, 0.442499, 0.441042, 0.220985, 0.182135, 0.187359, 0.000000, 0.000000], [-0.304706, -0.517941, -0.428825, -0.121044, 0.518765, -0.012985, 0.228234, -0.344925, 0.000000, 0.000000], [-0.382385, 0.382895, 0.569953, -0.002677, 0.276240, 0.243881, 0.424411, -0.257698, 0.000000, 0.000000], [-0.002140, 0.299031, -0.450085, 0.167820, -0.020849, 0.791732, -0.187613, -0.131769, 0.000000, 0.000000], [-0.262960, -0.060908, -0.137022, 0.805742, -0.358745, -0.196958, 0.265828, -0.144885, 0.000000, 0.000000]]
fourier: [[18.935998, 19.400667, 21.990005, 23.030061, 42.509960], [26.553012, 27.318582, 29.261879, 31.569677, 111.922142], [18.316428, 19.238468, 19.449148, 21.998902, 24.740027], [35.534523, 38.271459, 40.040646, 48.226036, 130.750590], [22.476120, 22.930493, 25.997434, 26.630727, 84.658182], [24.095714, 24.896867, 25.004528, 26.397941, 53.189898], [11.190828, 11.319343, 13.195861, 13.683591, 108.446778], [14.959890, 19.081294, 19.726956, 22.391243, 68.035086]]
### 2
mean: [-0.253041, 1.308343, -1.653587, 1.937254, 1.640248, 1.092683, 0.173929, 0.575298]
std: [1.978819, 1.009773, 1.150294, 2.190387, 1.490312, 1.530009, 0.738957, 0.628089]
pca: [[-0.493721, 0.492596, 0.051713, 0.210149, -0.077733, 0.179919, 0.653143, 0.041759, 0.000000, 0.000000], [0.039230, 0.699513, -0.430912, -0.313816, 0.143576, 0.129212, -0.392986, 0.182288, 0.000000, 0.000000], [-0.249437, -0.418018, -0.514407, 0.248706, 0.100539, 0.241570, -0.005947, 0.606691, 0.000000, 0.000000], [0.573105, 0.172164, -0.407466, 0.561679, 0.095543, -0.270427, 0.248913, -0.127205, 0.000000, 0.000000], [0.393614, 0.041379, 0.156577, -0.397753, -0.256764, -0.240335, 0.377400, 0.628102, 0.000000, 0.000000], [0.404172, 0.032933, 0.135288, 0.144110, -0.374562, 0.808773, -0.042748, -0.015885, 0.000000, 0.000000], [-0.174984, 0.198649, 0.203750, 0.464822, -0.556119, -0.313478, -0.444222, 0.259761, 0.000000, 0.000000], [0.122988, 0.146264, 0.544669, 0.291521, 0.662280, 0.096453, -0.124025, 0.344285, 0.000000, 0.000000]]
fourier: [[27.544552, 31.767187, 36.120299, 38.703215, 43.204775], [16.278017, 16.443781, 17.050375, 21.641909, 117.750914], [19.369687, 20.474124, 20.639517, 23.548056, 148.822845], [38.836778, 41.384063, 45.644616, 45.884645, 174.352813], [26.057356, 26.279266, 27.963977, 32.313412, 147.622330], [25.753239, 27.432459, 30.013842, 33.322613, 98.341472], [11.865719, 12.718480, 14.204288, 15.144547, 15.653635], [10.905986, 11.389589, 11.626870, 11.634084, 51.776839]]
### 4
mean: [-1.372146, 0.749574, -0.368275, 0.148695, 2.749727, -0.775621, 0.412266, 0.377353]
std: [1.022140, 0.277850, 1.377652, 0.213640, 2.922387, 2.100061, 0.328825, 0.305825]
pca: [[0.139746, 0.818958, -0.223419, 0.366481, 0.320614, 0.108119, -0.061608, 0.085299, 0.000000, 0.000000], [0.058566, -0.093431, 0.310874, 0.386055, 0.189809, -0.309793, 0.759103, 0.184183, 0.000000, 0.000000], [-0.351769, -0.200558, 0.006851, 0.591671, 0.140806, -0.418148, -0.427058, -0.329939, 0.000000, 0.000000], [-0.010019, -0.142370, -0.359768, -0.340162, 0.514127, -0.475375, -0.134354, 0.475529, 0.000000, 0.000000], [0.748278, -0.381925, -0.257434, 0.186802, 0.275568, 0.165755, -0.023147, -0.298494, 0.000000, 0.000000], [-0.538431, -0.209553, -0.436183, 0.058112, 0.321870, 0.503952, 0.318342, -0.116778, 0.000000, 0.000000], [0.049476, -0.235929, -0.215942, 0.460900, -0.381594, 0.217410, -0.160015, 0.681428, 0.000000, 0.000000], [-0.030396, -0.121014, 0.648692, 0.012942, 0.501870, 0.403484, -0.303407, 0.238187, 0.000000, 0.000000]]
fourier: [[16.576540, 17.896880, 18.409273, 21.573351, 123.493148], [4.238206, 4.839372, 4.958824, 5.526378, 67.461675], [21.127671, 26.811456, 26.896892, 29.920721, 33.144737], [3.229475, 3.365933, 4.362439, 4.686250, 13.382553], [51.343843, 54.691426, 57.614449, 62.304330, 247.475375], [33.080985, 38.219082, 41.020683, 45.954260, 69.805845], [5.036891, 5.451275, 6.810768, 7.274213, 37.103918], [4.458048, 5.594662, 5.611992, 5.635093, 33.961775]]
### 6
mean: [-0.650262, 0.456803, -0.235370, 1.506186, 1.057749, -0.867683, -0.825031, 1.046371]
std: [0.954390, 0.659627, 0.637051, 2.043832, 1.864477, 1.182511, 1.495085, 1.189538]
pca: [[-0.251931, -0.007376, 0.487776, -0.373015, 0.379133, 0.607487, 0.195437, 0.091834, 0.000000, 0.000000], [0.150721, 0.720155, -0.297494, 0.178033, 0.256852, 0.363312, -0.364624, 0.086846, 0.000000, 0.000000], [0.164326, -0.272395, -0.402116, 0.437726, -0.021797, 0.494769, 0.547893, -0.006216, 0.000000, 0.000000], [0.541714, -0.024035, 0.498109, 0.148643, -0.444158, 0.311857, -0.230259, -0.297003, 0.000000, 0.000000], [0.493028, -0.326651, 0.183142, 0.216023, 0.553883, -0.175950, -0.162371, 0.453770, 0.000000, 0.000000], [-0.312729, 0.128303, 0.345366, 0.628312, 0.338692, -0.189767, 0.088688, -0.461623, 0.000000, 0.000000], [-0.396454, 0.038724, 0.232176, 0.412169, -0.404526, 0.091858, -0.112312, 0.657908, 0.000000, 0.000000], [0.308716, 0.530927, 0.238825, -0.064354, -0.085989, -0.285491, 0.654832, 0.209591, 0.000000, 0.000000]]
fourier: [[16.674883, 17.958428, 18.425653, 18.665666, 58.523625], [12.447650, 12.615649, 12.886400, 12.930829, 41.112294], [10.781264, 11.648256, 11.935826, 12.125235, 21.183326], [36.259464, 36.989912, 39.983957, 41.767624, 135.556707], [32.204842, 35.146346, 35.678507, 37.148881, 95.197386], [21.174719, 21.488044, 22.573059, 22.770601, 78.091483], [26.676011, 27.139587, 28.895737, 29.580674, 74.252836], [21.100075, 22.561345, 23.809541, 24.726783, 94.173355]]
### 8
mean: [1.978574, -0.152803, -0.605124, -1.147164, -1.128804, -0.603299, 0.500414, 1.446167]
std: [2.684333, 0.575105, 0.485676, 1.687086, 1.101715, 1.288748, 1.131454, 1.646963]
pca: [[0.643081, -0.532338, 0.009009, 0.130607, 0.095190, -0.161380, -0.489641, 0.105217, 0.000000, 0.000000], [0.133301, 0.429258, 0.238406, 0.505980, -0.344847, 0.052222, -0.343050, -0.495767, 0.000000, 0.000000], [-0.108032, -0.375163, 0.845740, -0.038883, -0.210840, 0.231031, 0.168551, 0.067499, 0.000000, 0.000000], [-0.404808, -0.144109, 0.143443, 0.588581, 0.423673, -0.513455, 0.047879, 0.054151, 0.000000, 0.000000], [-0.264205, 0.157517, 0.015346, -0.055098, -0.515881, -0.292284, -0.402706, 0.623199, 0.000000, 0.000000], [-0.308845, -0.197837, -0.247874, 0.372542, 0.097700, 0.733565, -0.274289, 0.205788, 0.000000, 0.000000], [0.267684, 0.551878, 0.354667, -0.033431, 0.535196, 0.169113, -0.114234, 0.410836, 0.000000, 0.000000], [0.395339, 0.048152, -0.140584, 0.485845, -0.293179, 0.045515, 0.601174, 0.368977, 0.000000, 0.000000]]
fourier: [[45.752275, 49.981067, 54.229719, 56.013033, 178.071614], [9.039886, 10.475685, 10.915434, 10.948350, 13.752288], [8.039241, 8.059409, 8.848705, 9.344900, 54.461178], [28.912186, 30.710231, 33.361646, 34.882729, 103.244728], [18.735866, 20.512268, 22.204918, 22.806467, 101.592329], [22.769208, 22.883908, 24.934862, 26.503296, 54.296912], [18.998430, 21.031225, 21.107101, 22.309128, 45.037272], [27.628973, 30.079618, 33.081039, 33.882942, 130.155031]]
### 10
mean: [-1.258426]
std: [1.921612]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.612717, 35.783543, 39.139117, 39.835505, 113.258374]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.160477,
0.439634,
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[
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0.027994,
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[
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[
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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0.644083,
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0.42384,
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],
[
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0.054988,
0.420488,
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0.458491,
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],
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0.165016,
0.165325,
0.291908,
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0.40532,
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0.017971
]
],
"network.2.bias": [
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0.215917,
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[
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0.00785,
0.075657
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0.184793,
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0.051562,
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0.334109,
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0.293985,
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0.052354,
0.033538,
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],
"network.4.bias": [
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"network.6.weight": [
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0.404804,
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0.423325
]
],
"network.6.bias": [
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0.267866,
-2.1e-05
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"network.8.weight": [
[
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],
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0.227025,
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],
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0.570616,
0.314408,
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[
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],
[
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[
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],
[
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]
],
"network.8.bias": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
0.233531
]
}
## Activation Signature
### 0
mean: [0.472333, 1.243579, 0.216102, -1.452785, 0.940646, 0.590999, 1.204964, 0.755945]
std: [1.219361, 1.478699, 1.178252, 2.094813, 1.442535, 1.579074, 0.762143, 1.043880]
pca: [[0.212562, 0.557583, -0.206078, 0.178076, 0.433224, -0.465574, -0.245072, -0.324402, 0.000000, 0.000000], [-0.437798, 0.162276, -0.152149, 0.148788, 0.356401, -0.057001, -0.063536, 0.776147, 0.000000, 0.000000], [0.285165, 0.295720, -0.390717, -0.241460, -0.127357, -0.076674, 0.751433, 0.183081, 0.000000, 0.000000], [0.611241, -0.259454, 0.227233, 0.442499, 0.441042, 0.220985, 0.182135, 0.187359, 0.000000, 0.000000], [-0.304706, -0.517941, -0.428825, -0.121044, 0.518765, -0.012985, 0.228234, -0.344925, 0.000000, 0.000000], [-0.382385, 0.382895, 0.569953, -0.002677, 0.276240, 0.243881, 0.424411, -0.257698, 0.000000, 0.000000], [-0.002140, 0.299031, -0.450085, 0.167820, -0.020849, 0.791732, -0.187613, -0.131769, 0.000000, 0.000000], [-0.262960, -0.060908, -0.137022, 0.805742, -0.358745, -0.196958, 0.265828, -0.144885, 0.000000, 0.000000]]
fourier: [[18.935998, 19.400667, 21.990005, 23.030061, 42.509960], [26.553012, 27.318582, 29.261879, 31.569677, 111.922142], [18.316428, 19.238468, 19.449148, 21.998902, 24.740027], [35.534523, 38.271459, 40.040646, 48.226036, 130.750590], [22.476120, 22.930493, 25.997434, 26.630727, 84.658182], [24.095714, 24.896867, 25.004528, 26.397941, 53.189898], [11.190828, 11.319343, 13.195861, 13.683591, 108.446778], [14.959890, 19.081294, 19.726956, 22.391243, 68.035086]]
### 2
mean: [-0.253041, 1.308343, -1.653587, 1.937254, 1.640248, 1.092683, 0.173929, 0.575298]
std: [1.978819, 1.009773, 1.150294, 2.190387, 1.490312, 1.530009, 0.738957, 0.628089]
pca: [[-0.493721, 0.492596, 0.051713, 0.210149, -0.077733, 0.179919, 0.653143, 0.041759, 0.000000, 0.000000], [0.039230, 0.699513, -0.430912, -0.313816, 0.143576, 0.129212, -0.392986, 0.182288, 0.000000, 0.000000], [-0.249437, -0.418018, -0.514407, 0.248706, 0.100539, 0.241570, -0.005947, 0.606691, 0.000000, 0.000000], [0.573105, 0.172164, -0.407466, 0.561679, 0.095543, -0.270427, 0.248913, -0.127205, 0.000000, 0.000000], [0.393614, 0.041379, 0.156577, -0.397753, -0.256764, -0.240335, 0.377400, 0.628102, 0.000000, 0.000000], [0.404172, 0.032933, 0.135288, 0.144110, -0.374562, 0.808773, -0.042748, -0.015885, 0.000000, 0.000000], [-0.174984, 0.198649, 0.203750, 0.464822, -0.556119, -0.313478, -0.444222, 0.259761, 0.000000, 0.000000], [0.122988, 0.146264, 0.544669, 0.291521, 0.662280, 0.096453, -0.124025, 0.344285, 0.000000, 0.000000]]
fourier: [[27.544552, 31.767187, 36.120299, 38.703215, 43.204775], [16.278017, 16.443781, 17.050375, 21.641909, 117.750914], [19.369687, 20.474124, 20.639517, 23.548056, 148.822845], [38.836778, 41.384063, 45.644616, 45.884645, 174.352813], [26.057356, 26.279266, 27.963977, 32.313412, 147.622330], [25.753239, 27.432459, 30.013842, 33.322613, 98.341472], [11.865719, 12.718480, 14.204288, 15.144547, 15.653635], [10.905986, 11.389589, 11.626870, 11.634084, 51.776839]]
### 4
mean: [-1.372146, 0.749574, -0.368275, 0.148695, 2.749727, -0.775621, 0.412266, 0.377353]
std: [1.022140, 0.277850, 1.377652, 0.213640, 2.922387, 2.100061, 0.328825, 0.305825]
pca: [[0.139746, 0.818958, -0.223419, 0.366481, 0.320614, 0.108119, -0.061608, 0.085299, 0.000000, 0.000000], [0.058566, -0.093431, 0.310874, 0.386055, 0.189809, -0.309793, 0.759103, 0.184183, 0.000000, 0.000000], [-0.351769, -0.200558, 0.006851, 0.591671, 0.140806, -0.418148, -0.427058, -0.329939, 0.000000, 0.000000], [-0.010019, -0.142370, -0.359768, -0.340162, 0.514127, -0.475375, -0.134354, 0.475529, 0.000000, 0.000000], [0.748278, -0.381925, -0.257434, 0.186802, 0.275568, 0.165755, -0.023147, -0.298494, 0.000000, 0.000000], [-0.538431, -0.209553, -0.436183, 0.058112, 0.321870, 0.503952, 0.318342, -0.116778, 0.000000, 0.000000], [0.049476, -0.235929, -0.215942, 0.460900, -0.381594, 0.217410, -0.160015, 0.681428, 0.000000, 0.000000], [-0.030396, -0.121014, 0.648692, 0.012942, 0.501870, 0.403484, -0.303407, 0.238187, 0.000000, 0.000000]]
fourier: [[16.576540, 17.896880, 18.409273, 21.573351, 123.493148], [4.238206, 4.839372, 4.958824, 5.526378, 67.461675], [21.127671, 26.811456, 26.896892, 29.920721, 33.144737], [3.229475, 3.365933, 4.362439, 4.686250, 13.382553], [51.343843, 54.691426, 57.614449, 62.304330, 247.475375], [33.080985, 38.219082, 41.020683, 45.954260, 69.805845], [5.036891, 5.451275, 6.810768, 7.274213, 37.103918], [4.458048, 5.594662, 5.611992, 5.635093, 33.961775]]
### 6
mean: [-0.650262, 0.456803, -0.235370, 1.506186, 1.057749, -0.867683, -0.825031, 1.046371]
std: [0.954390, 0.659627, 0.637051, 2.043832, 1.864477, 1.182511, 1.495085, 1.189538]
pca: [[-0.251931, -0.007376, 0.487776, -0.373015, 0.379133, 0.607487, 0.195437, 0.091834, 0.000000, 0.000000], [0.150721, 0.720155, -0.297494, 0.178033, 0.256852, 0.363312, -0.364624, 0.086846, 0.000000, 0.000000], [0.164326, -0.272395, -0.402116, 0.437726, -0.021797, 0.494769, 0.547893, -0.006216, 0.000000, 0.000000], [0.541714, -0.024035, 0.498109, 0.148643, -0.444158, 0.311857, -0.230259, -0.297003, 0.000000, 0.000000], [0.493028, -0.326651, 0.183142, 0.216023, 0.553883, -0.175950, -0.162371, 0.453770, 0.000000, 0.000000], [-0.312729, 0.128303, 0.345366, 0.628312, 0.338692, -0.189767, 0.088688, -0.461623, 0.000000, 0.000000], [-0.396454, 0.038724, 0.232176, 0.412169, -0.404526, 0.091858, -0.112312, 0.657908, 0.000000, 0.000000], [0.308716, 0.530927, 0.238825, -0.064354, -0.085989, -0.285491, 0.654832, 0.209591, 0.000000, 0.000000]]
fourier: [[16.674883, 17.958428, 18.425653, 18.665666, 58.523625], [12.447650, 12.615649, 12.886400, 12.930829, 41.112294], [10.781264, 11.648256, 11.935826, 12.125235, 21.183326], [36.259464, 36.989912, 39.983957, 41.767624, 135.556707], [32.204842, 35.146346, 35.678507, 37.148881, 95.197386], [21.174719, 21.488044, 22.573059, 22.770601, 78.091483], [26.676011, 27.139587, 28.895737, 29.580674, 74.252836], [21.100075, 22.561345, 23.809541, 24.726783, 94.173355]]
### 8
mean: [1.978574, -0.152803, -0.605124, -1.147164, -1.128804, -0.603299, 0.500414, 1.446167]
std: [2.684333, 0.575105, 0.485676, 1.687086, 1.101715, 1.288748, 1.131454, 1.646963]
pca: [[0.643081, -0.532338, 0.009009, 0.130607, 0.095190, -0.161380, -0.489641, 0.105217, 0.000000, 0.000000], [0.133301, 0.429258, 0.238406, 0.505980, -0.344847, 0.052222, -0.343050, -0.495767, 0.000000, 0.000000], [-0.108032, -0.375163, 0.845740, -0.038883, -0.210840, 0.231031, 0.168551, 0.067499, 0.000000, 0.000000], [-0.404808, -0.144109, 0.143443, 0.588581, 0.423673, -0.513455, 0.047879, 0.054151, 0.000000, 0.000000], [-0.264205, 0.157517, 0.015346, -0.055098, -0.515881, -0.292284, -0.402706, 0.623199, 0.000000, 0.000000], [-0.308845, -0.197837, -0.247874, 0.372542, 0.097700, 0.733565, -0.274289, 0.205788, 0.000000, 0.000000], [0.267684, 0.551878, 0.354667, -0.033431, 0.535196, 0.169113, -0.114234, 0.410836, 0.000000, 0.000000], [0.395339, 0.048152, -0.140584, 0.485845, -0.293179, 0.045515, 0.601174, 0.368977, 0.000000, 0.000000]]
fourier: [[45.752275, 49.981067, 54.229719, 56.013033, 178.071614], [9.039886, 10.475685, 10.915434, 10.948350, 13.752288], [8.039241, 8.059409, 8.848705, 9.344900, 54.461178], [28.912186, 30.710231, 33.361646, 34.882729, 103.244728], [18.735866, 20.512268, 22.204918, 22.806467, 101.592329], [22.769208, 22.883908, 24.934862, 26.503296, 54.296912], [18.998430, 21.031225, 21.107101, 22.309128, 45.037272], [27.628973, 30.079618, 33.081039, 33.882942, 130.155031]]
### 10
mean: [-1.258426]
std: [1.921612]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.612717, 35.783543, 39.139117, 39.835505, 113.258374]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7332117557525635, "train_acc": 0.445, "val_loss": 0.7148089408874512, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7037568986415863, "train_acc": 0.445, "val_loss": 0.664024829864502, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.623815655708313, "train_acc": 0.745, "val_loss": 0.4058122932910919, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.40216921269893646, "train_acc": 0.84, "val_loss": 0.17166276276111603, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4415828585624695, "train_acc": 0.84, "val_loss": 0.16291940212249756, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36651138961315155, "train_acc": 0.85, "val_loss": 0.2892886996269226, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3536309003829956, "train_acc": 0.845, "val_loss": 0.24686744809150696, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3306896686553955, "train_acc": 0.87, "val_loss": 0.23836737871170044, "val_acc": 0.96}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7148089408874512, "final_val_loss": 0.664024829864502, "initial_val_acc": 0.42, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.4058122932910919, "final_val_loss": 0.23836737871170044, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
42
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2336, "learning_rate": 0.027281424600688553, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [2.251398, -1.144826, 0.061288, -1.525456, 0.613743, 0.895108]
std: [1.465478, 1.014598, 1.477841, 1.932780, 1.429643, 2.294927]
pca: [[-0.166775, 0.637637, 0.659130, 0.342890, 0.083987, -0.080778, 0.000000, 0.000000, 0.000000, 0.000000], [0.158954, -0.422565, 0.318123, 0.246926, -0.541977, -0.583317, 0.000000, 0.000000, 0.000000, 0.000000], [0.403842, -0.111412, 0.437775, -0.188666, -0.359813, 0.683953, 0.000000, 0.000000, 0.000000, 0.000000], [0.529420, -0.319221, 0.175818, 0.339787, 0.686254, -0.022380, 0.000000, 0.000000, 0.000000, 0.000000], [0.344627, 0.307469, -0.486869, 0.649200, -0.313935, 0.172153, 0.000000, 0.000000, 0.000000, 0.000000], [0.620304, 0.453878, -0.068879, -0.498942, -0.015576, -0.394065, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.939357, 22.141109, 22.196701, 26.665678, 202.625834], [15.225883, 19.057503, 19.871678, 20.371379, 103.034357], [25.468555, 26.343744, 27.045635, 27.067621, 27.590529], [29.459530, 31.968470, 37.695933, 38.420268, 137.291056], [22.878367, 23.736244, 24.653552, 26.968527, 55.236839], [33.887401, 37.241895, 37.502927, 37.570852, 80.559725]]
### 2
mean: [0.259216, -0.825039, 0.025547, -0.962854, 1.183543, 3.119466]
std: [1.492315, 1.114205, 1.049427, 0.316075, 0.556686, 2.189505]
pca: [[-0.425780, 0.643711, -0.146533, -0.484689, -0.357373, -0.142255, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378865, -0.199642, 0.837406, -0.280485, 0.055916, 0.183186, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309740, 0.421199, 0.152769, 0.766221, -0.103430, 0.324839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027014, -0.205282, -0.313148, -0.234274, -0.235837, 0.865196, 0.000000, 0.000000, 0.000000, 0.000000], [0.015364, 0.389936, -0.074264, -0.183529, 0.863222, 0.251723, 0.000000, 0.000000, 0.000000, 0.000000], [0.760439, 0.417349, 0.387768, -0.103646, -0.240187, 0.169579, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.636003, 23.329457, 23.425435, 25.288150, 27.836891], [18.582462, 19.666398, 19.949544, 20.030207, 74.253512], [15.891617, 15.981186, 16.205053, 18.933579, 19.861697], [4.586855, 4.643063, 5.155936, 5.225598, 86.656876], [8.794930, 9.106219, 9.166852, 9.549644, 106.518830], [34.931663, 37.265973, 39.563360, 40.556738, 280.751959]]
### 4
mean: [-0.357388, -0.012203, 2.322125, 0.659813, 0.459756, -1.133090]
std: [0.886211, 0.523124, 1.804244, 1.023105, 0.623258, 0.616241]
pca: [[-0.403487, -0.052108, -0.438012, 0.070822, 0.760373, 0.243817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231208, 0.111357, -0.253000, 0.709805, -0.454916, 0.399201, 0.000000, 0.000000, 0.000000, 0.000000], [0.798612, 0.389672, -0.081748, 0.231614, 0.305422, 0.238252, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293023, 0.691400, 0.198104, 0.273374, 0.155567, -0.545824, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236202, 0.296152, 0.627129, -0.215561, 0.070529, 0.641694, 0.000000, 0.000000, 0.000000, 0.000000], [0.065622, -0.517011, 0.552193, 0.562419, 0.304019, -0.121381, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.656225, 14.882675, 15.119542, 15.771115, 32.164892], [7.924060, 7.947351, 8.060103, 8.060302, 8.082490], [30.180760, 30.930341, 31.803264, 33.889009, 208.991246], [16.156684, 17.839443, 18.911253, 19.570482, 59.383209], [9.470717, 10.544189, 11.128145, 11.411974, 41.378048], [9.226608, 10.279847, 10.422283, 13.067397, 101.978055]]
### 6
mean: [0.948280, -0.126123, 1.904526, -0.532013, 0.408316, 1.514131]
std: [1.265424, 0.838960, 2.097486, 0.585539, 1.061449, 1.721776]
pca: [[0.381791, -0.236706, 0.413295, 0.631163, 0.457024, 0.141969, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252040, 0.217444, -0.291277, -0.188118, 0.872777, -0.084997, 0.000000, 0.000000, 0.000000, 0.000000], [0.633683, 0.368806, 0.012832, -0.107374, 0.006870, -0.671332, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174272, -0.111029, 0.807244, -0.524691, 0.121486, -0.124901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296088, 0.824538, 0.303740, 0.337336, -0.104750, 0.124268, 0.000000, 0.000000, 0.000000, 0.000000], [0.520691, 0.261686, -0.016753, -0.406964, 0.060093, 0.700636, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.761790, 20.004207, 20.078368, 20.173090, 85.345182], [12.911847, 12.919007, 12.968560, 13.260561, 13.435794], [32.174415, 34.133854, 34.238660, 37.183592, 171.407351], [9.096639, 9.275712, 9.590725, 10.348857, 47.881170], [16.416968, 17.099611, 18.496854, 19.235372, 36.748472], [26.401197, 27.894929, 27.981077, 30.358879, 136.271767]]
### 8
mean: [-2.515834]
std: [3.031766]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.481329, 50.917754, 51.342877, 54.940316, 226.425049]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [2.251398, -1.144826, 0.061288, -1.525456, 0.613743, 0.895108]
std: [1.465478, 1.014598, 1.477841, 1.932780, 1.429643, 2.294927]
pca: [[-0.166775, 0.637637, 0.659130, 0.342890, 0.083987, -0.080778, 0.000000, 0.000000, 0.000000, 0.000000], [0.158954, -0.422565, 0.318123, 0.246926, -0.541977, -0.583317, 0.000000, 0.000000, 0.000000, 0.000000], [0.403842, -0.111412, 0.437775, -0.188666, -0.359813, 0.683953, 0.000000, 0.000000, 0.000000, 0.000000], [0.529420, -0.319221, 0.175818, 0.339787, 0.686254, -0.022380, 0.000000, 0.000000, 0.000000, 0.000000], [0.344627, 0.307469, -0.486869, 0.649200, -0.313935, 0.172153, 0.000000, 0.000000, 0.000000, 0.000000], [0.620304, 0.453878, -0.068879, -0.498942, -0.015576, -0.394065, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.939357, 22.141109, 22.196701, 26.665678, 202.625834], [15.225883, 19.057503, 19.871678, 20.371379, 103.034357], [25.468555, 26.343744, 27.045635, 27.067621, 27.590529], [29.459530, 31.968470, 37.695933, 38.420268, 137.291056], [22.878367, 23.736244, 24.653552, 26.968527, 55.236839], [33.887401, 37.241895, 37.502927, 37.570852, 80.559725]]
### 2
mean: [0.259216, -0.825039, 0.025547, -0.962854, 1.183543, 3.119466]
std: [1.492315, 1.114205, 1.049427, 0.316075, 0.556686, 2.189505]
pca: [[-0.425780, 0.643711, -0.146533, -0.484689, -0.357373, -0.142255, 0.000000, 0.000000, 0.000000, 0.000000], [-0.378865, -0.199642, 0.837406, -0.280485, 0.055916, 0.183186, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309740, 0.421199, 0.152769, 0.766221, -0.103430, 0.324839, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027014, -0.205282, -0.313148, -0.234274, -0.235837, 0.865196, 0.000000, 0.000000, 0.000000, 0.000000], [0.015364, 0.389936, -0.074264, -0.183529, 0.863222, 0.251723, 0.000000, 0.000000, 0.000000, 0.000000], [0.760439, 0.417349, 0.387768, -0.103646, -0.240187, 0.169579, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.636003, 23.329457, 23.425435, 25.288150, 27.836891], [18.582462, 19.666398, 19.949544, 20.030207, 74.253512], [15.891617, 15.981186, 16.205053, 18.933579, 19.861697], [4.586855, 4.643063, 5.155936, 5.225598, 86.656876], [8.794930, 9.106219, 9.166852, 9.549644, 106.518830], [34.931663, 37.265973, 39.563360, 40.556738, 280.751959]]
### 4
mean: [-0.357388, -0.012203, 2.322125, 0.659813, 0.459756, -1.133090]
std: [0.886211, 0.523124, 1.804244, 1.023105, 0.623258, 0.616241]
pca: [[-0.403487, -0.052108, -0.438012, 0.070822, 0.760373, 0.243817, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231208, 0.111357, -0.253000, 0.709805, -0.454916, 0.399201, 0.000000, 0.000000, 0.000000, 0.000000], [0.798612, 0.389672, -0.081748, 0.231614, 0.305422, 0.238252, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293023, 0.691400, 0.198104, 0.273374, 0.155567, -0.545824, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236202, 0.296152, 0.627129, -0.215561, 0.070529, 0.641694, 0.000000, 0.000000, 0.000000, 0.000000], [0.065622, -0.517011, 0.552193, 0.562419, 0.304019, -0.121381, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.656225, 14.882675, 15.119542, 15.771115, 32.164892], [7.924060, 7.947351, 8.060103, 8.060302, 8.082490], [30.180760, 30.930341, 31.803264, 33.889009, 208.991246], [16.156684, 17.839443, 18.911253, 19.570482, 59.383209], [9.470717, 10.544189, 11.128145, 11.411974, 41.378048], [9.226608, 10.279847, 10.422283, 13.067397, 101.978055]]
### 6
mean: [0.948280, -0.126123, 1.904526, -0.532013, 0.408316, 1.514131]
std: [1.265424, 0.838960, 2.097486, 0.585539, 1.061449, 1.721776]
pca: [[0.381791, -0.236706, 0.413295, 0.631163, 0.457024, 0.141969, 0.000000, 0.000000, 0.000000, 0.000000], [-0.252040, 0.217444, -0.291277, -0.188118, 0.872777, -0.084997, 0.000000, 0.000000, 0.000000, 0.000000], [0.633683, 0.368806, 0.012832, -0.107374, 0.006870, -0.671332, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174272, -0.111029, 0.807244, -0.524691, 0.121486, -0.124901, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296088, 0.824538, 0.303740, 0.337336, -0.104750, 0.124268, 0.000000, 0.000000, 0.000000, 0.000000], [0.520691, 0.261686, -0.016753, -0.406964, 0.060093, 0.700636, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.761790, 20.004207, 20.078368, 20.173090, 85.345182], [12.911847, 12.919007, 12.968560, 13.260561, 13.435794], [32.174415, 34.133854, 34.238660, 37.183592, 171.407351], [9.096639, 9.275712, 9.590725, 10.348857, 47.881170], [16.416968, 17.099611, 18.496854, 19.235372, 36.748472], [26.401197, 27.894929, 27.981077, 30.358879, 136.271767]]
### 8
mean: [-2.515834]
std: [3.031766]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.481329, 50.917754, 51.342877, 54.940316, 226.425049]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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19.235371821957607, 36.74847202003002]}, "5": {"mean": 1.514130711555481, "std": 1.721776008605957, "pca": [0.5206905007362366, 0.2616861164569855, -0.016753003001213074, -0.40696385502815247, 0.060092635452747345, 0.7006357312202454, 0.0, 0.0, 0.0, 0.0], "fourier": [26.401196828778453, 27.89492934005199, 27.98107660137511, 30.358878865415857, 136.27176732569933]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.515833854675293, "std": 3.0317656993865967, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [49.481329006806384, 50.91775414368135, 51.34287746062488, 54.940315518628346, 226.4250492155552]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.147769, 0.110527, 0.406085, 0.49558, -0.355275], [-0.425168, 0.10784, -0.10062, -0.283547, -0.004314], [-0.757672, 0.021019, 0.105051, -0.045845, 0.288693], [-0.857243, -0.036146, -0.209998, -0.08166, 0.45804], [-0.364989, 0.154576, -0.107898, 0.137188, 0.692525], [-0.826739, -0.076225, 0.212823, 0.303134, 0.856803]], "network.0.bias": [0.393268, 0.011319, 0.488685, -0.343936, -0.136637, -0.088503], "network.2.weight": [[0.592097, -0.074467, -0.780614, 0.648422, -0.249851, -0.377013], [-0.105257, -0.245485, 0.492242, -0.425572, -0.407334, -0.426143], [0.330455, 0.34242, -0.684852, 0.001925, -0.330379, -0.041509], [-0.167389, -0.038704, 0.089603, 0.063984, 0.129709, -0.192785], [0.322816, -0.762329, -0.439474, 0.386967, -0.039831, 0.133729], [0.34553, -0.525563, 0.314414, -0.155703, 0.468723, 0.899179]], "network.2.bias": [-0.023149, 0.024693, -0.04134, -0.488598, 0.463449, 0.648601], "network.4.weight": [[0.548675, -0.159029, 0.330198, -0.007174, -0.21763, -0.279748], [0.43949, 0.076405, 0.198885, -0.122982, -0.042243, -0.116676], [-0.678447, -0.13705, -0.555469, -0.509036, 0.222939, 0.68343], [0.765239, -0.211973, 0.423026, -0.14395, 0.472153, -0.022275], [0.316764, 0.013165, 0.291097, 0.358221, 0.405117, -0.11705], [-0.584819, 0.759734, -0.090304, 0.063286, -0.072398, -0.122793]], "network.4.bias": [0.287718, 0.047857, 0.482056, -0.405125, 0.161746, -0.23392], "network.6.weight": [[-0.044285, 0.029998, 0.44434, -0.462097, -0.391717, -0.226786], [0.098078, -0.120427, -0.304394, 0.572009, -0.17461, 0.087631], [-0.605313, -0.235409, 0.886818, -0.458161, -0.093545, -0.446071], [0.421743, 0.516009, -0.205029, 0.001024, -0.000644, -0.59187], [-0.072693, 0.498514, -0.164071, 0.478342, 0.555979, 0.164156], [-0.376041, -0.432317, 0.715836, -0.394455, -0.018797, -0.438065]], "network.6.bias": [0.385163, 0.269983, 0.244702, -0.207534, 0.209747, 0.173089], "network.8.weight": [[-0.278606, 0.319788, -0.713966, 0.055448, 0.359198, -0.77162]], "network.8.bias": [0.275923]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7025384902954102, "train_acc": 0.435, "val_loss": 0.6880980730056763, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831613183021545, "train_acc": 0.565, "val_loss": 0.6696557402610779, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6688477694988251, "train_acc": 0.565, "val_loss": 0.6505634188652039, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6865737736225128, "train_acc": 0.48, "val_loss": 0.6542909145355225, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6542292833328247, "train_acc": 0.675, "val_loss": 0.6339176297187805, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6122893691062927, "train_acc": 0.735, "val_loss": 0.5765601396560669, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5497055351734161, "train_acc": 0.76, "val_loss": 0.5012914538383484, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.49569591879844666, "train_acc": 0.795, "val_loss": 0.4570293724536896, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.445041298866272, "train_acc": 0.8, "val_loss": 0.3896389901638031, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4074447900056839, "train_acc": 0.825, "val_loss": 0.2713160812854767, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.36653679609298706, "train_acc": 0.88, "val_loss": 0.2419421225786209, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3036583513021469, "train_acc": 0.885, "val_loss": 0.1882268488407135, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2723962664604187, "train_acc": 0.9, "val_loss": 0.15369948744773865, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6880980730056763, "final_val_loss": 0.6505634188652039, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6542909145355225, "final_val_loss": 0.15369948744773865, "initial_val_acc": 0.58, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
43
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7385, "learning_rate": 0.03768603114736421, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.4.weight": [
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[
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[
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}
## Activation Signature
### 0
mean: [1.815376, 1.129235, 0.985736, 0.084711, -1.436520]
std: [1.974846, 1.744992, 1.994738, 0.850901, 1.204338]
pca: [[0.698422, 0.214533, -0.304286, 0.287823, 0.539214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476916, 0.448448, 0.653231, -0.133591, -0.356214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.474992, 0.851388, -0.135537, 0.079828, 0.157407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016836, -0.013234, -0.057622, 0.878248, -0.474238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242605, -0.166832, 0.677502, 0.348740, 0.576786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.669541, 37.522232, 40.722936, 43.394678, 163.383893], [26.341148, 28.145398, 30.212357, 30.491318, 101.631156], [29.734260, 30.398352, 32.791883, 33.568872, 88.716255], [13.027608, 13.310117, 13.315156, 14.172242, 16.176340], [17.592208, 19.245959, 22.968769, 25.769022, 129.286753]]
### 2
mean: [-1.144613, 2.238435, -1.927053, -0.438780, -1.654527]
std: [0.533368, 2.127777, 1.347607, 1.649786, 0.855811]
pca: [[-0.097457, -0.377793, 0.473135, 0.129423, 0.779209, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.718988, -0.099087, 0.424166, 0.456462, -0.291486, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.404524, -0.543622, -0.288130, 0.631082, -0.244032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512078, 0.566965, 0.525452, 0.336589, -0.164118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218392, -0.480083, 0.486937, -0.513162, -0.470513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.223416, 8.369892, 10.015317, 11.270285, 103.015196], [32.580996, 34.163216, 43.120872, 44.413771, 201.459183], [22.161223, 22.189887, 23.707246, 26.082507, 173.434791], [26.187311, 28.043936, 31.107913, 34.964421, 39.490242], [12.375604, 13.319301, 15.161304, 18.165800, 148.907406]]
### 4
mean: [1.255800, 0.909838, 1.093830, -0.819414, -1.138988]
std: [1.132186, 1.109627, 1.314625, 0.671791, 0.611967]
pca: [[0.496514, 0.653152, 0.162382, 0.423638, -0.347894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501079, -0.158278, 0.123348, 0.265494, 0.798853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582657, -0.619333, 0.188314, -0.176738, -0.458518, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303879, -0.027271, 0.950696, 0.051329, 0.021352, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265637, -0.404998, -0.138319, 0.846270, -0.173519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.120837, 17.840378, 23.316190, 24.078742, 113.021985], [17.248570, 17.924940, 21.888009, 23.151135, 81.885427], [20.726083, 21.240624, 24.199321, 27.302661, 98.444697], [10.290153, 10.817727, 13.633348, 14.011736, 73.747306], [8.574173, 9.593558, 12.556782, 13.048866, 102.508920]]
### 6
mean: [-0.345294, 1.710778, 1.442987, 0.765120, 0.262379]
std: [0.037079, 1.469724, 1.310419, 0.734039, 0.228457]
pca: [[-0.006566, 0.147242, 0.844838, 0.498085, -0.128207, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.696847, 0.524895, -0.039620, -0.193821, -0.446937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621133, -0.489003, 0.304881, -0.242787, 0.472411, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.349110, -0.015594, -0.434157, 0.801454, 0.216929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081710, 0.680763, 0.056874, -0.114326, 0.716645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.578928, 0.590620, 0.607148, 0.753704, 31.076442], [22.309931, 23.239860, 30.801353, 31.168564, 153.970031], [20.560017, 20.761219, 26.345354, 28.248513, 129.868791], [11.419444, 11.587487, 15.099193, 15.690208, 68.860837], [3.432965, 3.460036, 3.804883, 4.557604, 23.614135]]
### 8
mean: [-0.914873]
std: [1.287396]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.243326, 20.325059, 26.101023, 27.666511, 82.338586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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## Activation Signature
### 0
mean: [1.815376, 1.129235, 0.985736, 0.084711, -1.436520]
std: [1.974846, 1.744992, 1.994738, 0.850901, 1.204338]
pca: [[0.698422, 0.214533, -0.304286, 0.287823, 0.539214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476916, 0.448448, 0.653231, -0.133591, -0.356214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.474992, 0.851388, -0.135537, 0.079828, 0.157407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016836, -0.013234, -0.057622, 0.878248, -0.474238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242605, -0.166832, 0.677502, 0.348740, 0.576786, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.669541, 37.522232, 40.722936, 43.394678, 163.383893], [26.341148, 28.145398, 30.212357, 30.491318, 101.631156], [29.734260, 30.398352, 32.791883, 33.568872, 88.716255], [13.027608, 13.310117, 13.315156, 14.172242, 16.176340], [17.592208, 19.245959, 22.968769, 25.769022, 129.286753]]
### 2
mean: [-1.144613, 2.238435, -1.927053, -0.438780, -1.654527]
std: [0.533368, 2.127777, 1.347607, 1.649786, 0.855811]
pca: [[-0.097457, -0.377793, 0.473135, 0.129423, 0.779209, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.718988, -0.099087, 0.424166, 0.456462, -0.291486, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.404524, -0.543622, -0.288130, 0.631082, -0.244032, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512078, 0.566965, 0.525452, 0.336589, -0.164118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218392, -0.480083, 0.486937, -0.513162, -0.470513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.223416, 8.369892, 10.015317, 11.270285, 103.015196], [32.580996, 34.163216, 43.120872, 44.413771, 201.459183], [22.161223, 22.189887, 23.707246, 26.082507, 173.434791], [26.187311, 28.043936, 31.107913, 34.964421, 39.490242], [12.375604, 13.319301, 15.161304, 18.165800, 148.907406]]
### 4
mean: [1.255800, 0.909838, 1.093830, -0.819414, -1.138988]
std: [1.132186, 1.109627, 1.314625, 0.671791, 0.611967]
pca: [[0.496514, 0.653152, 0.162382, 0.423638, -0.347894, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501079, -0.158278, 0.123348, 0.265494, 0.798853, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582657, -0.619333, 0.188314, -0.176738, -0.458518, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303879, -0.027271, 0.950696, 0.051329, 0.021352, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.265637, -0.404998, -0.138319, 0.846270, -0.173519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.120837, 17.840378, 23.316190, 24.078742, 113.021985], [17.248570, 17.924940, 21.888009, 23.151135, 81.885427], [20.726083, 21.240624, 24.199321, 27.302661, 98.444697], [10.290153, 10.817727, 13.633348, 14.011736, 73.747306], [8.574173, 9.593558, 12.556782, 13.048866, 102.508920]]
### 6
mean: [-0.345294, 1.710778, 1.442987, 0.765120, 0.262379]
std: [0.037079, 1.469724, 1.310419, 0.734039, 0.228457]
pca: [[-0.006566, 0.147242, 0.844838, 0.498085, -0.128207, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.696847, 0.524895, -0.039620, -0.193821, -0.446937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621133, -0.489003, 0.304881, -0.242787, 0.472411, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.349110, -0.015594, -0.434157, 0.801454, 0.216929, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081710, 0.680763, 0.056874, -0.114326, 0.716645, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.578928, 0.590620, 0.607148, 0.753704, 31.076442], [22.309931, 23.239860, 30.801353, 31.168564, 153.970031], [20.560017, 20.761219, 26.345354, 28.248513, 129.868791], [11.419444, 11.587487, 15.099193, 15.690208, 68.860837], [3.432965, 3.460036, 3.804883, 4.557604, 23.614135]]
### 8
mean: [-0.914873]
std: [1.287396]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.243326, 20.325059, 26.101023, 27.666511, 82.338586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.516637, -0.100213, -0.029401, 0.247594, 0.77522], [-0.093445, -0.264238, -0.117011, 0.494846, 0.695391], [-0.403891, 0.563221, 0.194171, 0.45716, -0.590005], [0.391618, -0.164635, -0.195114, 0.204622, -0.248994], [-0.151546, -0.096, -0.433146, -0.013001, -0.215188]], "network.0.bias": [-0.070581, 0.052628, -0.196239, 0.173229, 0.125076], "network.2.weight": [[-0.256541, 0.092051, -0.25535, -0.343808, 0.020394], [0.653765, 0.634415, -0.074451, 0.17641, 0.00604], [-0.57342, -0.18955, -0.418039, -0.333377, -0.587282], [-0.338795, -0.513462, 0.469937, -0.208452, -0.304646], [-0.429075, 0.047115, -0.332672, -0.414905, -0.291928]], "network.2.bias": [-0.325727, 0.239983, 0.062243, 0.314846, -0.32606], "network.4.weight": [[-0.361784, 0.584085, -0.160067, 0.449747, -0.209499], [-0.179616, 0.495635, 0.02265, -0.169182, 0.119766], [-0.180594, 0.526367, -0.072242, -0.528508, 0.207805], [0.085771, -0.314725, -0.065762, 0.00865, 0.161807], [0.00417, -0.318865, 0.444376, -0.282966, 0.00196]], "network.4.bias": [-0.231318, -0.13315, 0.124818, -0.117863, -0.312257], "network.6.weight": [[0.171528, -0.35608, 0.145199, -0.345107, -0.096482], [0.614682, 0.239772, 0.44684, 0.296079, 0.173969], [-0.114224, 0.483207, 0.769619, -0.125654, 0.225347], [0.07413, 0.375904, 0.213076, 0.31125, -0.037803], [0.466804, -0.346088, -0.26745, 0.45086, 0.21308]], "network.6.bias": [-0.39091, 0.178081, 0.208609, 0.057923, 0.326165], "network.8.weight": [[0.02361, -0.465383, -0.369312, -0.044937, 0.558747]], "network.8.bias": [0.298986]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6894086301326752, "train_acc": 0.55, "val_loss": 0.6691175699234009, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.670730322599411, "train_acc": 0.55, "val_loss": 0.6241515874862671, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6427346169948578, "train_acc": 0.485, "val_loss": 0.5429263114929199, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5615148544311523, "train_acc": 0.64, "val_loss": 0.4656735360622406, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.493387371301651, "train_acc": 0.765, "val_loss": 0.40519973635673523, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.41505204141139984, "train_acc": 0.855, "val_loss": 0.37559157609939575, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3688397705554962, "train_acc": 0.88, "val_loss": 0.3282713294029236, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3134201467037201, "train_acc": 0.87, "val_loss": 0.33665114641189575, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3138660788536072, "train_acc": 0.885, "val_loss": 0.4074370265007019, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.27478770911693573, "train_acc": 0.89, "val_loss": 0.327867329120636, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2795070707798004, "train_acc": 0.885, "val_loss": 0.33509624004364014, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.257565401494503, "train_acc": 0.88, "val_loss": 0.46242454648017883, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6691175699234009, "final_val_loss": 0.6241515874862671, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5429263114929199, "final_val_loss": 0.46242454648017883, "initial_val_acc": 0.76, "final_val_acc": 0.78, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
44
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1532, "learning_rate": 0.041473734597374516, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.37541,
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-0.406266
],
[
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0.001802,
0.057289,
-1.045483
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[
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0.163167,
0.047172,
-0.391132,
0.234884
],
[
0.773003,
-0.190063,
0.035901,
-0.102957,
-0.680497
],
[
-0.364627,
0.108706,
0.124202,
0.06161,
0.831088
],
[
-0.246147,
0.246784,
0.129757,
0.028038,
-0.61947
]
],
"network.0.bias": [
0.14308,
-0.023143,
0.224862,
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-0.301202,
0.382957
],
"network.2.weight": [
[
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-0.159239,
-0.326546,
0.130832,
-0.145944,
0.32103
],
[
-0.28153,
0.476428,
-0.308159,
0.085855,
0.166368,
0.162799
],
[
-0.454299,
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-0.467534,
-0.04922,
-0.38255,
-0.183408
],
[
0.168312,
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0.028104,
0.623797,
0.602719,
0.336127
],
[
0.461641,
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0.516804,
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0.394649
],
[
0.102475,
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-0.157071,
-0.281909,
0.499958
]
],
"network.2.bias": [
0.043879,
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0.533153,
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-0.034258,
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],
"network.4.weight": [
[
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[
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0.030906,
0.796639,
-0.459014,
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[
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],
[
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0.03982,
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0.36208
],
[
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[
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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],
[
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[
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[
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],
[
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]
],
"network.8.bias": [
0.036922,
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0.290134
],
"network.10.weight": [
[
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],
[
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0.227916,
-0.320626
],
[
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],
[
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],
[
0.0965,
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],
[
0.485164,
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]
],
"network.10.bias": [
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0.058666
],
"network.12.weight": [
[
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0.126495,
0.035134,
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]
],
"network.12.bias": [
0.380077
]
}
## Activation Signature
### 0
mean: [2.080441, -0.348896, 0.542256, -0.083853, 0.859699, 0.093498]
std: [1.702709, 2.078981, 1.296540, 1.820884, 1.629683, 1.316787]
pca: [[0.140892, 0.684277, 0.655006, -0.079371, 0.056417, -0.270922, 0.000000, 0.000000, 0.000000, 0.000000], [0.647481, 0.036905, 0.058569, 0.053032, -0.626109, 0.425619, 0.000000, 0.000000, 0.000000, 0.000000], [0.038518, -0.514059, 0.478326, 0.620160, -0.115986, -0.327739, 0.000000, 0.000000, 0.000000, 0.000000], [0.509130, -0.345023, 0.253529, -0.272081, 0.658524, 0.223131, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482757, 0.048563, 0.383855, 0.188817, 0.071652, 0.759248, 0.000000, 0.000000, 0.000000, 0.000000], [0.259165, 0.380456, -0.356538, 0.704706, 0.390595, 0.108594, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.269853, 25.631091, 26.097067, 29.072412, 187.239700], [30.629833, 31.139063, 31.400631, 35.134400, 37.828499], [20.768857, 21.711295, 22.593794, 23.479831, 48.803031], [28.077615, 28.271069, 30.203203, 33.508443, 33.699846], [24.188154, 27.778339, 28.671426, 34.340469, 77.372883], [18.635140, 19.543922, 23.183478, 25.705436, 26.893731]]
### 2
mean: [-0.545734, -0.910287, -1.128506, 2.053348, 0.554192, -0.278110]
std: [0.506001, 0.471117, 0.985623, 1.344545, 1.205287, 0.642778]
pca: [[-0.226605, -0.163779, 0.337841, -0.378086, 0.538167, -0.612468, 0.000000, 0.000000, 0.000000, 0.000000], [0.155636, -0.256576, 0.227308, -0.052839, 0.604414, 0.700120, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253050, -0.604842, 0.554367, 0.045470, -0.502328, 0.091698, 0.000000, 0.000000, 0.000000, 0.000000], [0.756724, 0.282842, 0.549899, -0.091203, -0.145810, -0.124105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487013, 0.624843, 0.320835, -0.390324, -0.130541, 0.316323, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224903, 0.266614, 0.348637, 0.831577, 0.233292, -0.104129, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.927523, 8.989038, 10.110684, 10.494695, 49.116044], [7.293624, 7.599934, 7.691516, 7.860801, 81.925865], [14.772051, 15.312828, 15.925596, 18.932970, 101.565565], [22.163263, 23.283162, 26.230111, 28.066528, 184.801294], [19.347195, 21.189339, 21.298548, 23.082547, 49.877306], [8.467511, 13.256378, 13.269782, 13.767792, 25.029939]]
### 4
mean: [-0.137311, 1.282831, 0.767284, 0.571028, 0.048588, 0.883228]
std: [0.437316, 1.249697, 0.506341, 0.486743, 0.642578, 0.348346]
pca: [[-0.264203, -0.240547, 0.125795, 0.641305, 0.650164, -0.150082, 0.000000, 0.000000, 0.000000, 0.000000], [0.805025, 0.180865, 0.489366, 0.132106, 0.118333, -0.219749, 0.000000, 0.000000, 0.000000, 0.000000], [0.321207, -0.090814, -0.486574, 0.663129, -0.418813, 0.191520, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134348, 0.718831, -0.342743, 0.104866, 0.040607, -0.578890, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390156, 0.337968, 0.612930, 0.347163, -0.453344, 0.178407, 0.000000, 0.000000, 0.000000, 0.000000], [0.093202, 0.519843, -0.121601, -0.004076, 0.425100, 0.724957, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.596913, 7.894528, 8.166624, 9.985824, 12.357990], [20.781165, 22.418193, 25.674308, 28.215919, 115.454792], [8.251674, 9.187543, 11.630058, 11.812514, 69.055552], [7.192429, 7.665370, 7.975164, 8.358410, 51.392479], [9.947463, 10.118350, 12.169543, 13.809403, 14.726339], [5.508820, 5.740774, 6.257847, 6.352375, 79.490505]]
### 6
mean: [0.894810, 1.059451, 0.751805, 0.377661, 0.095837, 0.126334]
std: [1.359474, 1.223199, 0.948847, 0.790243, 1.014064, 0.972173]
pca: [[0.521325, 0.467952, 0.025098, -0.417001, -0.517996, -0.257685, 0.000000, 0.000000, 0.000000, 0.000000], [0.472050, 0.260821, -0.366381, -0.164678, 0.678938, 0.294670, 0.000000, 0.000000, 0.000000, 0.000000], [0.365016, 0.260337, 0.280994, 0.797457, 0.108057, -0.269103, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291755, 0.568194, -0.157481, 0.259855, -0.312567, 0.634044, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389188, 0.313666, -0.614879, 0.077794, 0.096375, -0.597268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368190, 0.473273, 0.619112, -0.299127, 0.389950, -0.124941, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.988119, 24.308206, 29.595707, 31.196711, 80.532950], [20.000038, 22.120773, 27.091374, 27.792265, 95.350549], [15.907004, 16.949118, 20.774070, 21.389900, 67.662411], [13.802135, 13.893151, 15.113533, 16.557324, 33.989464], [14.996544, 16.420804, 18.253047, 21.143506, 21.723896], [14.480082, 16.274925, 17.760086, 20.047512, 21.548965]]
### 8
mean: [-0.257559, 0.261114, 1.365162, 0.412581, -0.685889, 0.181495]
std: [1.420301, 1.569074, 2.445472, 1.920561, 1.560456, 1.608294]
pca: [[-0.324736, 0.259371, 0.216414, 0.821304, 0.196749, -0.259204, 0.000000, 0.000000, 0.000000, 0.000000], [0.359045, -0.196423, 0.779762, 0.066080, 0.245065, 0.400066, 0.000000, 0.000000, 0.000000, 0.000000], [0.556765, 0.806045, -0.138135, 0.007409, 0.107100, 0.098478, 0.000000, 0.000000, 0.000000, 0.000000], [0.439095, -0.361887, -0.228902, 0.043819, 0.606336, -0.504256, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357466, 0.033389, -0.328373, -0.034694, 0.645815, 0.587362, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367504, 0.335201, 0.407223, -0.563838, 0.324103, -0.404715, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.180300, 23.857158, 25.993570, 29.443212, 32.267432], [24.157290, 26.536872, 28.829047, 32.561885, 35.343421], [39.822536, 45.075007, 54.111129, 54.159892, 122.864588], [32.428804, 35.115815, 37.132263, 39.673642, 43.381875], [25.743264, 28.676738, 32.958395, 35.254046, 61.730005], [24.165139, 27.062951, 29.248854, 33.150168, 36.425176]]
### 10
mean: [1.124266, 1.423262, 1.348933, -0.981322, -0.286000, -0.282539]
std: [2.216609, 2.743675, 2.787771, 2.138479, 0.364314, 1.666357]
pca: [[0.422353, 0.233175, -0.568096, -0.064184, 0.582366, -0.318192, 0.000000, 0.000000, 0.000000, 0.000000], [0.522693, 0.316688, 0.157128, 0.694805, -0.330388, -0.099505, 0.000000, 0.000000, 0.000000, 0.000000], [0.531858, -0.053099, -0.039478, -0.246044, 0.011121, 0.807519, 0.000000, 0.000000, 0.000000, 0.000000], [-0.407836, -0.120565, -0.407239, 0.635547, 0.252297, 0.430948, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064438, 0.280849, 0.672407, 0.100833, 0.664354, 0.115355, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308309, 0.865510, -0.181783, -0.196219, -0.215754, 0.194273, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.319030, 41.609353, 47.000296, 48.980917, 101.183924], [48.311703, 51.569569, 57.812199, 60.948071, 128.093593], [47.640714, 52.312728, 60.314565, 61.258829, 121.403956], [37.075719, 40.180677, 45.590320, 47.344875, 88.319004], [6.284109, 6.548829, 6.778548, 8.478058, 25.739989], [25.428523, 27.968673, 30.139158, 34.264378, 38.114014]]
### 12
mean: [-2.392947]
std: [4.673227]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.960882, 87.458869, 96.436800, 104.883821, 215.365245]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.37541,
0.662264,
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],
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0.057289,
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[
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0.047172,
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0.234884
],
[
0.773003,
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0.035901,
-0.102957,
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[
-0.364627,
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0.124202,
0.06161,
0.831088
],
[
-0.246147,
0.246784,
0.129757,
0.028038,
-0.61947
]
],
"network.0.bias": [
0.14308,
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0.224862,
0.285595,
-0.301202,
0.382957
],
"network.2.weight": [
[
-0.172281,
-0.159239,
-0.326546,
0.130832,
-0.145944,
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],
[
-0.28153,
0.476428,
-0.308159,
0.085855,
0.166368,
0.162799
],
[
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0.162449,
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-0.04922,
-0.38255,
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],
[
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0.602719,
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],
[
0.461641,
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0.516804,
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],
[
0.102475,
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0.499958
]
],
"network.2.bias": [
0.043879,
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0.533153,
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-0.581547
],
"network.4.weight": [
[
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0.061677,
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],
[
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0.030906,
0.796639,
-0.459014,
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[
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0.353689
],
[
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0.094989,
0.389928,
0.03982,
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0.36208
],
[
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0.107637,
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0.582339,
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],
[
-0.109607,
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0.221097,
0.207027,
0.231818,
0.18539
]
],
"network.4.bias": [
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0.399044,
0.119545,
0.085396,
0.331557
],
"network.6.weight": [
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],
"network.6.bias": [
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0.315329,
0.396237,
0.304717
],
"network.8.weight": [
[
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0.483082
],
[
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0.093345
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[
0.577563,
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[
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[
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[
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0.578668
]
],
"network.8.bias": [
0.036922,
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-0.309432,
0.290134
],
"network.10.weight": [
[
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],
[
-0.238157,
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0.642621,
0.227916,
-0.320626
],
[
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[
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[
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],
[
0.485164,
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
-0.554434,
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.080441, -0.348896, 0.542256, -0.083853, 0.859699, 0.093498]
std: [1.702709, 2.078981, 1.296540, 1.820884, 1.629683, 1.316787]
pca: [[0.140892, 0.684277, 0.655006, -0.079371, 0.056417, -0.270922, 0.000000, 0.000000, 0.000000, 0.000000], [0.647481, 0.036905, 0.058569, 0.053032, -0.626109, 0.425619, 0.000000, 0.000000, 0.000000, 0.000000], [0.038518, -0.514059, 0.478326, 0.620160, -0.115986, -0.327739, 0.000000, 0.000000, 0.000000, 0.000000], [0.509130, -0.345023, 0.253529, -0.272081, 0.658524, 0.223131, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482757, 0.048563, 0.383855, 0.188817, 0.071652, 0.759248, 0.000000, 0.000000, 0.000000, 0.000000], [0.259165, 0.380456, -0.356538, 0.704706, 0.390595, 0.108594, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.269853, 25.631091, 26.097067, 29.072412, 187.239700], [30.629833, 31.139063, 31.400631, 35.134400, 37.828499], [20.768857, 21.711295, 22.593794, 23.479831, 48.803031], [28.077615, 28.271069, 30.203203, 33.508443, 33.699846], [24.188154, 27.778339, 28.671426, 34.340469, 77.372883], [18.635140, 19.543922, 23.183478, 25.705436, 26.893731]]
### 2
mean: [-0.545734, -0.910287, -1.128506, 2.053348, 0.554192, -0.278110]
std: [0.506001, 0.471117, 0.985623, 1.344545, 1.205287, 0.642778]
pca: [[-0.226605, -0.163779, 0.337841, -0.378086, 0.538167, -0.612468, 0.000000, 0.000000, 0.000000, 0.000000], [0.155636, -0.256576, 0.227308, -0.052839, 0.604414, 0.700120, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253050, -0.604842, 0.554367, 0.045470, -0.502328, 0.091698, 0.000000, 0.000000, 0.000000, 0.000000], [0.756724, 0.282842, 0.549899, -0.091203, -0.145810, -0.124105, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487013, 0.624843, 0.320835, -0.390324, -0.130541, 0.316323, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224903, 0.266614, 0.348637, 0.831577, 0.233292, -0.104129, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.927523, 8.989038, 10.110684, 10.494695, 49.116044], [7.293624, 7.599934, 7.691516, 7.860801, 81.925865], [14.772051, 15.312828, 15.925596, 18.932970, 101.565565], [22.163263, 23.283162, 26.230111, 28.066528, 184.801294], [19.347195, 21.189339, 21.298548, 23.082547, 49.877306], [8.467511, 13.256378, 13.269782, 13.767792, 25.029939]]
### 4
mean: [-0.137311, 1.282831, 0.767284, 0.571028, 0.048588, 0.883228]
std: [0.437316, 1.249697, 0.506341, 0.486743, 0.642578, 0.348346]
pca: [[-0.264203, -0.240547, 0.125795, 0.641305, 0.650164, -0.150082, 0.000000, 0.000000, 0.000000, 0.000000], [0.805025, 0.180865, 0.489366, 0.132106, 0.118333, -0.219749, 0.000000, 0.000000, 0.000000, 0.000000], [0.321207, -0.090814, -0.486574, 0.663129, -0.418813, 0.191520, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134348, 0.718831, -0.342743, 0.104866, 0.040607, -0.578890, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390156, 0.337968, 0.612930, 0.347163, -0.453344, 0.178407, 0.000000, 0.000000, 0.000000, 0.000000], [0.093202, 0.519843, -0.121601, -0.004076, 0.425100, 0.724957, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.596913, 7.894528, 8.166624, 9.985824, 12.357990], [20.781165, 22.418193, 25.674308, 28.215919, 115.454792], [8.251674, 9.187543, 11.630058, 11.812514, 69.055552], [7.192429, 7.665370, 7.975164, 8.358410, 51.392479], [9.947463, 10.118350, 12.169543, 13.809403, 14.726339], [5.508820, 5.740774, 6.257847, 6.352375, 79.490505]]
### 6
mean: [0.894810, 1.059451, 0.751805, 0.377661, 0.095837, 0.126334]
std: [1.359474, 1.223199, 0.948847, 0.790243, 1.014064, 0.972173]
pca: [[0.521325, 0.467952, 0.025098, -0.417001, -0.517996, -0.257685, 0.000000, 0.000000, 0.000000, 0.000000], [0.472050, 0.260821, -0.366381, -0.164678, 0.678938, 0.294670, 0.000000, 0.000000, 0.000000, 0.000000], [0.365016, 0.260337, 0.280994, 0.797457, 0.108057, -0.269103, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291755, 0.568194, -0.157481, 0.259855, -0.312567, 0.634044, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389188, 0.313666, -0.614879, 0.077794, 0.096375, -0.597268, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368190, 0.473273, 0.619112, -0.299127, 0.389950, -0.124941, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.988119, 24.308206, 29.595707, 31.196711, 80.532950], [20.000038, 22.120773, 27.091374, 27.792265, 95.350549], [15.907004, 16.949118, 20.774070, 21.389900, 67.662411], [13.802135, 13.893151, 15.113533, 16.557324, 33.989464], [14.996544, 16.420804, 18.253047, 21.143506, 21.723896], [14.480082, 16.274925, 17.760086, 20.047512, 21.548965]]
### 8
mean: [-0.257559, 0.261114, 1.365162, 0.412581, -0.685889, 0.181495]
std: [1.420301, 1.569074, 2.445472, 1.920561, 1.560456, 1.608294]
pca: [[-0.324736, 0.259371, 0.216414, 0.821304, 0.196749, -0.259204, 0.000000, 0.000000, 0.000000, 0.000000], [0.359045, -0.196423, 0.779762, 0.066080, 0.245065, 0.400066, 0.000000, 0.000000, 0.000000, 0.000000], [0.556765, 0.806045, -0.138135, 0.007409, 0.107100, 0.098478, 0.000000, 0.000000, 0.000000, 0.000000], [0.439095, -0.361887, -0.228902, 0.043819, 0.606336, -0.504256, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357466, 0.033389, -0.328373, -0.034694, 0.645815, 0.587362, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367504, 0.335201, 0.407223, -0.563838, 0.324103, -0.404715, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.180300, 23.857158, 25.993570, 29.443212, 32.267432], [24.157290, 26.536872, 28.829047, 32.561885, 35.343421], [39.822536, 45.075007, 54.111129, 54.159892, 122.864588], [32.428804, 35.115815, 37.132263, 39.673642, 43.381875], [25.743264, 28.676738, 32.958395, 35.254046, 61.730005], [24.165139, 27.062951, 29.248854, 33.150168, 36.425176]]
### 10
mean: [1.124266, 1.423262, 1.348933, -0.981322, -0.286000, -0.282539]
std: [2.216609, 2.743675, 2.787771, 2.138479, 0.364314, 1.666357]
pca: [[0.422353, 0.233175, -0.568096, -0.064184, 0.582366, -0.318192, 0.000000, 0.000000, 0.000000, 0.000000], [0.522693, 0.316688, 0.157128, 0.694805, -0.330388, -0.099505, 0.000000, 0.000000, 0.000000, 0.000000], [0.531858, -0.053099, -0.039478, -0.246044, 0.011121, 0.807519, 0.000000, 0.000000, 0.000000, 0.000000], [-0.407836, -0.120565, -0.407239, 0.635547, 0.252297, 0.430948, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064438, 0.280849, 0.672407, 0.100833, 0.664354, 0.115355, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308309, 0.865510, -0.181783, -0.196219, -0.215754, 0.194273, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.319030, 41.609353, 47.000296, 48.980917, 101.183924], [48.311703, 51.569569, 57.812199, 60.948071, 128.093593], [47.640714, 52.312728, 60.314565, 61.258829, 121.403956], [37.075719, 40.180677, 45.590320, 47.344875, 88.319004], [6.284109, 6.548829, 6.778548, 8.478058, 25.739989], [25.428523, 27.968673, 30.139158, 34.264378, 38.114014]]
### 12
mean: [-2.392947]
std: [4.673227]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[82.960882, 87.458869, 96.436800, 104.883821, 215.365245]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 2.0804409980773926, "std": 1.7027088403701782, "pca": [0.14089246094226837, 0.6842774152755737, 0.655005693435669, -0.07937116175889969, 0.056416843086481094, -0.2709217667579651, 0.0, 0.0, 0.0, 0.0], "fourier": [25.26985265274616, 25.631090705648578, 26.097067007458286, 29.072412455688678, 187.2396997064352]}, "1": {"mean": -0.3488959074020386, "std": 2.078981399536133, "pca": [0.6474812626838684, 0.036905039101839066, 0.05856917425990105, 0.05303233116865158, -0.6261086463928223, 0.42561858892440796, 0.0, 0.0, 0.0, 0.0], "fourier": [30.629832736365938, 31.13906256079204, 31.400630539283156, 35.134399604634666, 37.828499271846134]}, "2": {"mean": 0.5422558784484863, "std": 1.2965400218963623, "pca": [0.03851781412959099, -0.5140587091445923, 0.4783264994621277, 0.6201596856117249, -0.11598620563745499, -0.3277391493320465, 0.0, 0.0, 0.0, 0.0], "fourier": [20.76885712621101, 21.71129471015127, 22.593794383054966, 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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7165943086147308, "train_acc": 0.42, "val_loss": 0.6914291381835938, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6895219087600708, "train_acc": 0.48, "val_loss": 0.7171504497528076, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6808499693870544, "train_acc": 0.58, "val_loss": 0.7234868407249451, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6410408020019531, "train_acc": 0.58, "val_loss": 0.6316481828689575, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5535766780376434, "train_acc": 0.605, "val_loss": 0.48690757155418396, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4736537039279938, "train_acc": 0.815, "val_loss": 0.3811310827732086, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3914402425289154, "train_acc": 0.83, "val_loss": 0.3598252236843109, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.38783665001392365, "train_acc": 0.83, "val_loss": 0.26797667145729065, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.32141417264938354, "train_acc": 0.85, "val_loss": 0.2748061716556549, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3138633519411087, "train_acc": 0.85, "val_loss": 0.2649921178817749, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2929977774620056, "train_acc": 0.865, "val_loss": 0.22411271929740906, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.28750942647457123, "train_acc": 0.875, "val_loss": 0.2655825912952423, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.31360025703907013, "train_acc": 0.85, "val_loss": 0.2706103026866913, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.32575787603855133, "train_acc": 0.86, "val_loss": 0.44812655448913574, "val_acc": 0.78}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6914291381835938, "final_val_loss": 0.6316481828689575, "initial_val_acc": 0.56, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.48690757155418396, "final_val_loss": 0.44812655448913574, "initial_val_acc": 0.8, "final_val_acc": 0.78, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
45
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.7, "improved_accuracy": 0.92, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1221, "learning_rate": 0.0691798830068229, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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],
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[
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[
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [1.460229, 1.505600, -0.715956, -0.526491, 2.186484]
std: [2.670595, 1.494321, 1.713218, 0.969587, 2.139498]
pca: [[0.810141, 0.236208, -0.207363, 0.380288, 0.316637, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186806, 0.510302, -0.421262, -0.546643, 0.477928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487554, -0.230371, -0.245375, 0.605374, 0.531539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.050361, -0.009210, 0.803834, -0.142274, 0.575315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261782, 0.794130, 0.270519, 0.412120, -0.240427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.259896, 38.752657, 42.614150, 51.871381, 131.420617], [22.966480, 24.204608, 27.674172, 32.452278, 135.503978], [28.707354, 30.016377, 30.091655, 41.477971, 64.436012], [15.687969, 15.800740, 16.218685, 17.675825, 47.384145], [34.181073, 41.398708, 42.527633, 44.028974, 196.783601]]
### 2
mean: [0.216765, -0.392442, 2.207051, 0.670402, 1.013895]
std: [1.902418, 1.370875, 2.344834, 1.234178, 1.721293]
pca: [[-0.507716, 0.271767, 0.054349, -0.425099, 0.696207, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345236, -0.081213, 0.821679, -0.193186, -0.402167, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.606755, 0.567599, 0.131723, -0.528883, -0.112298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218388, 0.757922, 0.079034, 0.602393, -0.093472, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455183, -0.151433, 0.546161, 0.373329, 0.576376, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.387224, 31.429951, 34.138484, 37.059337, 40.855350], [19.821474, 23.324123, 27.427863, 30.293812, 35.319750], [35.847919, 36.262868, 48.816537, 55.941919, 198.634608], [19.288099, 20.388745, 22.839990, 24.644043, 60.336226], [28.334164, 31.134870, 36.876975, 37.316126, 91.250581]]
### 4
mean: [-0.409789, 2.027544, -0.448780, 0.054743, 2.316245]
std: [0.126431, 2.686021, 0.914306, 1.683371, 2.796334]
pca: [[0.025077, 0.068590, 0.230664, 0.632409, 0.735880, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625884, 0.409965, 0.199962, -0.535027, 0.337578, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210656, 0.124556, 0.922527, 0.005545, -0.298365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366453, 0.889475, -0.233667, 0.108498, -0.090418, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654963, 0.143333, -0.033939, 0.549547, -0.497317, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.983536, 2.383666, 2.633662, 2.699208, 36.881041], [41.279478, 42.691783, 57.248079, 63.750042, 182.478983], [14.512310, 16.378263, 17.912450, 21.153585, 40.390209], [25.981039, 28.032001, 32.210675, 32.716771, 33.855788], [43.502222, 46.036579, 59.148996, 65.908609, 208.462015]]
### 6
mean: [2.739980, -1.009972, 0.279648, -1.851729, -1.043026]
std: [3.289289, 2.114872, 0.551237, 2.212472, 1.717557]
pca: [[0.683951, -0.227710, -0.122666, 0.667829, -0.138982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439477, 0.193176, -0.088074, 0.626288, 0.607905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066698, 0.758085, -0.382568, 0.152189, -0.501336, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454969, -0.573557, -0.589281, 0.093759, -0.328623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357246, -0.084678, 0.695403, 0.360299, -0.501801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.061410, 57.684692, 69.685774, 74.290094, 246.598251], [33.456294, 37.432522, 44.791451, 47.492743, 90.897447], [7.989876, 8.369384, 9.305472, 11.368641, 25.168307], [33.775728, 34.688988, 46.349950, 53.404048, 166.655602], [27.243770, 28.843633, 36.386229, 39.879555, 93.872374]]
### 8
mean: [-2.208537]
std: [2.535563]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.368337, 45.472543, 54.327232, 55.592921, 198.768352]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.623875,
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],
[
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0.517276
],
[
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[
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"network.0.bias": [
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.460229, 1.505600, -0.715956, -0.526491, 2.186484]
std: [2.670595, 1.494321, 1.713218, 0.969587, 2.139498]
pca: [[0.810141, 0.236208, -0.207363, 0.380288, 0.316637, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186806, 0.510302, -0.421262, -0.546643, 0.477928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487554, -0.230371, -0.245375, 0.605374, 0.531539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.050361, -0.009210, 0.803834, -0.142274, 0.575315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.261782, 0.794130, 0.270519, 0.412120, -0.240427, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.259896, 38.752657, 42.614150, 51.871381, 131.420617], [22.966480, 24.204608, 27.674172, 32.452278, 135.503978], [28.707354, 30.016377, 30.091655, 41.477971, 64.436012], [15.687969, 15.800740, 16.218685, 17.675825, 47.384145], [34.181073, 41.398708, 42.527633, 44.028974, 196.783601]]
### 2
mean: [0.216765, -0.392442, 2.207051, 0.670402, 1.013895]
std: [1.902418, 1.370875, 2.344834, 1.234178, 1.721293]
pca: [[-0.507716, 0.271767, 0.054349, -0.425099, 0.696207, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345236, -0.081213, 0.821679, -0.193186, -0.402167, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.606755, 0.567599, 0.131723, -0.528883, -0.112298, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218388, 0.757922, 0.079034, 0.602393, -0.093472, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455183, -0.151433, 0.546161, 0.373329, 0.576376, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.387224, 31.429951, 34.138484, 37.059337, 40.855350], [19.821474, 23.324123, 27.427863, 30.293812, 35.319750], [35.847919, 36.262868, 48.816537, 55.941919, 198.634608], [19.288099, 20.388745, 22.839990, 24.644043, 60.336226], [28.334164, 31.134870, 36.876975, 37.316126, 91.250581]]
### 4
mean: [-0.409789, 2.027544, -0.448780, 0.054743, 2.316245]
std: [0.126431, 2.686021, 0.914306, 1.683371, 2.796334]
pca: [[0.025077, 0.068590, 0.230664, 0.632409, 0.735880, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625884, 0.409965, 0.199962, -0.535027, 0.337578, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210656, 0.124556, 0.922527, 0.005545, -0.298365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366453, 0.889475, -0.233667, 0.108498, -0.090418, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654963, 0.143333, -0.033939, 0.549547, -0.497317, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.983536, 2.383666, 2.633662, 2.699208, 36.881041], [41.279478, 42.691783, 57.248079, 63.750042, 182.478983], [14.512310, 16.378263, 17.912450, 21.153585, 40.390209], [25.981039, 28.032001, 32.210675, 32.716771, 33.855788], [43.502222, 46.036579, 59.148996, 65.908609, 208.462015]]
### 6
mean: [2.739980, -1.009972, 0.279648, -1.851729, -1.043026]
std: [3.289289, 2.114872, 0.551237, 2.212472, 1.717557]
pca: [[0.683951, -0.227710, -0.122666, 0.667829, -0.138982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439477, 0.193176, -0.088074, 0.626288, 0.607905, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066698, 0.758085, -0.382568, 0.152189, -0.501336, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.454969, -0.573557, -0.589281, 0.093759, -0.328623, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.357246, -0.084678, 0.695403, 0.360299, -0.501801, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.061410, 57.684692, 69.685774, 74.290094, 246.598251], [33.456294, 37.432522, 44.791451, 47.492743, 90.897447], [7.989876, 8.369384, 9.305472, 11.368641, 25.168307], [33.775728, 34.688988, 46.349950, 53.404048, 166.655602], [27.243770, 28.843633, 36.386229, 39.879555, 93.872374]]
### 8
mean: [-2.208537]
std: [2.535563]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.368337, 45.472543, 54.327232, 55.592921, 198.768352]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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34.13848422035952, 37.05933685197724, 40.85534973636687]}, "1": {"mean": -0.39244163036346436, "std": 1.3708746433258057, "pca": [-0.3452356159687042, -0.08121304959058762, 0.8216794729232788, -0.1931864321231842, -0.402167409658432, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [19.82147356696301, 23.324122560203353, 27.427863217021383, 30.29381169504761, 35.319750152528286]}, "2": {"mean": 2.2070512771606445, "std": 2.3448336124420166, "pca": [0.6067551374435425, 0.5675994157791138, 0.1317232847213745, -0.5288829803466797, -0.11229810118675232, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [35.84791898458315, 36.262867798215076, 48.81653680818132, 55.94191864689885, 198.6346080303192]}, "3": {"mean": 0.670402467250824, "std": 1.234177827835083, "pca": [-0.21838779747486115, 0.7579219937324524, 0.07903401553630829, 0.6023932695388794, -0.09347222000360489, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [19.288099481932907, 20.388745009863808, 22.839990289133414, 24.644043163507245, 60.336226016283035]}, "4": {"mean": 1.0138952732086182, "std": 1.7212929725646973, "pca": [0.45518332719802856, -0.1514333039522171, 0.5461607575416565, 0.3733292520046234, 0.5763764381408691, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [28.33416449871246, 31.13486966936131, 36.87697506676027, 37.31612611790829, 91.2505810558796]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": -0.4097893238067627, "std": 0.1264314204454422, "pca": [0.025076614692807198, 0.0685901865363121, 0.23066411912441254, 0.6324089169502258, 0.7358801364898682, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [1.9835364818585648, 2.383666463728773, 2.633661705580923, 2.6992079280593346, 36.88104149699211]}, "1": {"mean": 2.0275442600250244, "std": 2.686021327972412, "pca": [0.6258837580680847, 0.409965455532074, 0.19996243715286255, -0.535027027130127, 0.33757808804512024, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [41.279477847429064, 42.69178263682955, 57.248079279980075, 63.7500416752206, 182.47898349910975]}, "2": {"mean": -0.4487800896167755, "std": 0.9143062829971313, "pca": [-0.21065644919872284, 0.1245560571551323, 0.9225274920463562, 0.005544506013393402, -0.29836538434028625, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.512309722373663, 16.37826251125521, 17.912449745106088, 21.15358548918717, 40.390208914875984]}, "3": {"mean": 0.05474255979061127, "std": 1.6833710670471191, "pca": [-0.36645254492759705, 0.889474630355835, -0.23366688191890717, 0.10849831998348236, -0.09041769057512283, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.981038586373607, 28.032001286153765, 32.21067528151062, 32.716771315712265, 33.85578815387727]}, "4": {"mean": 2.316244602203369, "std": 2.7963342666625977, "pca": [0.6549634337425232, 0.14333325624465942, -0.033939242362976074, 0.5495474934577942, -0.49731695652008057, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [43.50222197861786, 46.0365787624072, 59.14899638879871, 65.90860877236068, 208.46201537549496]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 2.739980459213257, "std": 3.2892892360687256, "pca": [0.6839514374732971, -0.22770951688289642, -0.12266586720943451, 0.6678292155265808, -0.1389821469783783, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [52.06140968773579, 57.68469190446862, 69.68577388641411, 74.29009353496087, 246.59825110435486]}, "1": {"mean": -1.0099717378616333, "std": 2.1148719787597656, "pca": [-0.4394773244857788, 0.19317615032196045, -0.08807448297739029, 0.6262879967689514, 0.6079053282737732, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.45629351923972, 37.43252181386448, 44.79145138807939, 47.49274257312098, 90.89744718372822]}, "2": {"mean": 0.2796478271484375, "std": 0.5512366890907288, "pca": [-0.06669783592224121, 0.7580852508544922, -0.3825683891773224, 0.152189239859581, -0.5013362765312195, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [7.989876371357245, 8.369383675641409, 9.30547200526964, 11.368641251000277, 25.168307159096003]}, "3": {"mean": -1.8517287969589233, "std": 2.2124717235565186, "pca": [-0.4549688696861267, -0.5735571980476379, -0.5892808437347412, 0.09375874698162079, -0.3286227285861969, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.77572821773683, 34.68898773812545, 46.34994974789316, 53.40404848451922, 166.65560157969594]}, "4": {"mean": -1.043026328086853, "std": 1.7175565958023071, "pca": [-0.3572462499141693, -0.08467763662338257, 0.6954030990600586, 0.360298752784729, -0.5018008947372437, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [27.243769843096967, 28.843632983970913, 36.38622914054702, 39.87955486062713, 93.87237363681197]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.2085373401641846, "std": 2.5355632305145264, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.36833719148276, 45.47254273205148, 54.327231591280395, 55.59292075358636, 198.76835191249847]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.097288, 0.623875, 0.102636, 0.671086, -1.0218], [-0.063422, 0.225284, -0.068175, 0.224203, 0.701871], [-0.08215, -0.584367, 0.247113, -0.293677, 0.517276], [0.42601, 0.047088, -0.236789, -0.131611, -0.186888], [0.404449, 0.378665, 0.037113, 0.12597, 0.80385]], "network.0.bias": [0.051177, -0.030015, -0.07327, -0.135087, -0.345915], "network.2.weight": [[0.616312, -0.476882, -0.142761, -0.247436, -0.298933], [0.331214, -0.818912, 0.188169, 0.078445, -0.003935], [-0.233991, 0.776392, 0.571281, 0.441816, 0.444152], [0.593854, -0.307943, 0.053795, -0.649098, 0.143773], [-0.471044, 0.147931, 0.309942, 0.489891, 0.460371]], "network.2.bias": [0.463275, 0.120903, 0.366941, -0.264194, 0.556487], "network.4.weight": [[-0.094391, 0.013487, -0.038108, 0.139672, 0.142299], [-0.213383, 0.429525, 0.617617, -0.018059, 0.765398], [-0.312223, 0.028709, -0.192897, 0.466648, -0.257419], [0.438777, 0.435607, -0.149782, 0.406566, -0.390844], [-0.151371, 0.090947, 0.513246, -0.161583, 0.942232]], "network.4.bias": [-0.525171, -0.075968, 0.159925, 0.090058, 0.349069], "network.6.weight": [[-0.18972, 0.347619, -0.069985, -0.620482, 0.707667], [-0.519773, -0.166429, 0.046165, 0.428021, -0.496107], [-0.389808, 0.189609, 0.503919, 0.463182, -0.16483], [-0.363592, -0.111221, -0.508489, -0.026252, -0.703004], [0.260866, -0.414677, -0.182577, 0.260524, -0.17324]], "network.6.bias": [0.781507, 0.122729, -0.09237, -0.025389, 0.071118], "network.8.weight": [[-0.725824, 0.37618, 0.29149, 0.24397, 0.298947]], "network.8.bias": [-0.346838]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6879914402961731, "train_acc": 0.58, "val_loss": 0.6775883436203003, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6598149240016937, "train_acc": 0.595, "val_loss": 0.6207455992698669, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.587365061044693, "train_acc": 0.75, "val_loss": 0.6276980638504028, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5600824505090714, "train_acc": 0.67, "val_loss": 0.5190483331680298, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4132920801639557, "train_acc": 0.845, "val_loss": 0.39899593591690063, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36454489827156067, "train_acc": 0.87, "val_loss": 0.32088348269462585, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.31246116757392883, "train_acc": 0.875, "val_loss": 0.31066837906837463, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2600298225879669, "train_acc": 0.895, "val_loss": 0.23503336310386658, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2495242804288864, "train_acc": 0.905, "val_loss": 0.20768649876117706, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2612875998020172, "train_acc": 0.895, "val_loss": 0.5542657971382141, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.41500212252140045, "train_acc": 0.88, "val_loss": 0.5426279306411743, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.29774295538663864, "train_acc": 0.9, "val_loss": 0.2557852864265442, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6775883436203003, "final_val_loss": 0.6207455992698669, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.6276980638504028, "final_val_loss": 0.2557852864265442, "initial_val_acc": 0.62, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.22000000000000008, "first_improvement_epoch": 1}}
|
46
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9124, "learning_rate": 0.05450317299859903, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [0.700726, 0.781464, -0.562811, 0.009080, 0.460647, 1.268225]
std: [1.038882, 1.208488, 1.013585, 1.120882, 1.433012, 1.574979]
pca: [[0.434000, -0.156648, 0.079537, 0.299486, 0.629630, -0.542820, 0.000000, 0.000000, 0.000000, 0.000000], [0.495572, -0.176459, -0.288984, 0.629703, -0.342958, 0.354419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236512, -0.256231, 0.830079, 0.390925, -0.191192, 0.000387, 0.000000, 0.000000, 0.000000, 0.000000], [0.081832, 0.592097, 0.244433, 0.153247, 0.480990, 0.572836, 0.000000, 0.000000, 0.000000, 0.000000], [0.295052, 0.685389, 0.171031, 0.040104, -0.459890, -0.448138, 0.000000, 0.000000, 0.000000, 0.000000], [0.645261, -0.241524, 0.363499, -0.579540, -0.080877, 0.225309, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.232232, 18.683947, 20.521760, 22.104700, 63.065350], [18.233994, 21.344675, 24.513899, 26.946085, 70.331726], [15.900942, 16.468297, 17.150386, 18.039507, 50.652995], [15.734023, 15.799198, 16.988477, 17.304005, 19.341961], [21.427232, 22.436670, 22.884101, 23.480116, 41.458258], [26.247026, 27.530486, 28.181077, 34.920726, 114.140204]]
### 2
mean: [1.811470, 0.690935, -0.090290, -0.757673, 1.924014, -0.231738]
std: [2.146172, 1.041173, 0.341320, 0.950311, 1.929886, 0.254739]
pca: [[0.684524, 0.303595, -0.253503, 0.101373, -0.513116, -0.318477, 0.000000, 0.000000, 0.000000, 0.000000], [0.330157, -0.181194, 0.137984, 0.611320, 0.594046, -0.335444, 0.000000, 0.000000, 0.000000, 0.000000], [0.097740, -0.005076, 0.741555, -0.456132, -0.030433, -0.481182, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154473, 0.929329, 0.046400, 0.020758, 0.331354, -0.010308, 0.000000, 0.000000, 0.000000, 0.000000], [0.620431, -0.017157, 0.039009, -0.410425, 0.374766, 0.551680, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063820, -0.105007, -0.602593, -0.488953, 0.364211, -0.500057, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.032223, 33.505503, 37.365091, 44.097321, 163.032344], [17.643538, 18.254067, 19.675922, 23.186280, 62.184195], [5.314025, 5.972895, 6.443046, 6.633426, 8.126100], [14.800507, 14.968547, 15.914468, 16.968365, 68.190533], [30.531135, 31.804138, 36.390338, 41.016177, 173.161273], [3.993349, 4.170152, 4.193005, 4.270745, 20.856403]]
### 4
mean: [0.744360, -1.668174, 2.884201, -0.706988, -0.683888, -0.456652]
std: [0.771244, 1.293277, 3.224684, 0.507419, 0.475273, 1.249354]
pca: [[0.199631, -0.496306, 0.481041, -0.109569, 0.430557, -0.533895, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337331, -0.201917, 0.023275, 0.899326, -0.084524, -0.170189, 0.000000, 0.000000, 0.000000, 0.000000], [0.842004, 0.237576, 0.166473, 0.406743, 0.046659, 0.198134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131940, 0.018749, -0.292192, 0.110710, 0.872603, 0.350958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121651, -0.441301, 0.502281, -0.033038, -0.126835, 0.721796, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324312, 0.679242, 0.634572, 0.020497, 0.166662, -0.050736, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.564024, 13.379785, 14.237668, 15.455210, 66.992371], [20.874296, 21.285503, 23.844693, 27.248782, 150.135671], [51.180251, 52.893190, 59.919411, 69.391982, 259.578112], [8.354047, 9.073261, 9.747135, 10.397298, 63.628937], [7.556298, 8.017034, 8.539471, 10.756497, 61.549966], [19.589978, 20.715714, 22.142666, 25.575376, 41.098689]]
### 6
mean: [-0.399369, 2.160092, 2.402328, -0.163336, -0.585019, -1.026670]
std: [0.789708, 2.480991, 2.609869, 0.466014, 0.737218, 1.377730]
pca: [[-0.195816, -0.166094, 0.558917, 0.730556, -0.109860, 0.275498, 0.000000, 0.000000, 0.000000, 0.000000], [0.615516, -0.607757, 0.298328, -0.306706, -0.131596, 0.226686, 0.000000, 0.000000, 0.000000, 0.000000], [0.647459, 0.682574, 0.289283, 0.146987, 0.026983, -0.094187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.115310, 0.325435, -0.082282, -0.247893, -0.109885, 0.894706, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182882, 0.014479, 0.453265, -0.282059, 0.824647, 0.035979, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341834, 0.176123, 0.550190, -0.457827, -0.527036, -0.249096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.850369, 12.864399, 14.468573, 17.260372, 35.943199], [40.456140, 41.493814, 44.215438, 52.821483, 194.408237], [41.760041, 43.208334, 48.362925, 56.191313, 216.209509], [7.747430, 7.874366, 7.987808, 9.789028, 14.700252], [12.142260, 12.187034, 13.256081, 15.982478, 52.651686], [22.755403, 22.818083, 24.663934, 29.715355, 92.400282]]
### 8
mean: [-2.317548]
std: [2.764990]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.654004, 46.626883, 49.233596, 59.104779, 208.579322]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [0.700726, 0.781464, -0.562811, 0.009080, 0.460647, 1.268225]
std: [1.038882, 1.208488, 1.013585, 1.120882, 1.433012, 1.574979]
pca: [[0.434000, -0.156648, 0.079537, 0.299486, 0.629630, -0.542820, 0.000000, 0.000000, 0.000000, 0.000000], [0.495572, -0.176459, -0.288984, 0.629703, -0.342958, 0.354419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.236512, -0.256231, 0.830079, 0.390925, -0.191192, 0.000387, 0.000000, 0.000000, 0.000000, 0.000000], [0.081832, 0.592097, 0.244433, 0.153247, 0.480990, 0.572836, 0.000000, 0.000000, 0.000000, 0.000000], [0.295052, 0.685389, 0.171031, 0.040104, -0.459890, -0.448138, 0.000000, 0.000000, 0.000000, 0.000000], [0.645261, -0.241524, 0.363499, -0.579540, -0.080877, 0.225309, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.232232, 18.683947, 20.521760, 22.104700, 63.065350], [18.233994, 21.344675, 24.513899, 26.946085, 70.331726], [15.900942, 16.468297, 17.150386, 18.039507, 50.652995], [15.734023, 15.799198, 16.988477, 17.304005, 19.341961], [21.427232, 22.436670, 22.884101, 23.480116, 41.458258], [26.247026, 27.530486, 28.181077, 34.920726, 114.140204]]
### 2
mean: [1.811470, 0.690935, -0.090290, -0.757673, 1.924014, -0.231738]
std: [2.146172, 1.041173, 0.341320, 0.950311, 1.929886, 0.254739]
pca: [[0.684524, 0.303595, -0.253503, 0.101373, -0.513116, -0.318477, 0.000000, 0.000000, 0.000000, 0.000000], [0.330157, -0.181194, 0.137984, 0.611320, 0.594046, -0.335444, 0.000000, 0.000000, 0.000000, 0.000000], [0.097740, -0.005076, 0.741555, -0.456132, -0.030433, -0.481182, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154473, 0.929329, 0.046400, 0.020758, 0.331354, -0.010308, 0.000000, 0.000000, 0.000000, 0.000000], [0.620431, -0.017157, 0.039009, -0.410425, 0.374766, 0.551680, 0.000000, 0.000000, 0.000000, 0.000000], [-0.063820, -0.105007, -0.602593, -0.488953, 0.364211, -0.500057, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.032223, 33.505503, 37.365091, 44.097321, 163.032344], [17.643538, 18.254067, 19.675922, 23.186280, 62.184195], [5.314025, 5.972895, 6.443046, 6.633426, 8.126100], [14.800507, 14.968547, 15.914468, 16.968365, 68.190533], [30.531135, 31.804138, 36.390338, 41.016177, 173.161273], [3.993349, 4.170152, 4.193005, 4.270745, 20.856403]]
### 4
mean: [0.744360, -1.668174, 2.884201, -0.706988, -0.683888, -0.456652]
std: [0.771244, 1.293277, 3.224684, 0.507419, 0.475273, 1.249354]
pca: [[0.199631, -0.496306, 0.481041, -0.109569, 0.430557, -0.533895, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337331, -0.201917, 0.023275, 0.899326, -0.084524, -0.170189, 0.000000, 0.000000, 0.000000, 0.000000], [0.842004, 0.237576, 0.166473, 0.406743, 0.046659, 0.198134, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131940, 0.018749, -0.292192, 0.110710, 0.872603, 0.350958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121651, -0.441301, 0.502281, -0.033038, -0.126835, 0.721796, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324312, 0.679242, 0.634572, 0.020497, 0.166662, -0.050736, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.564024, 13.379785, 14.237668, 15.455210, 66.992371], [20.874296, 21.285503, 23.844693, 27.248782, 150.135671], [51.180251, 52.893190, 59.919411, 69.391982, 259.578112], [8.354047, 9.073261, 9.747135, 10.397298, 63.628937], [7.556298, 8.017034, 8.539471, 10.756497, 61.549966], [19.589978, 20.715714, 22.142666, 25.575376, 41.098689]]
### 6
mean: [-0.399369, 2.160092, 2.402328, -0.163336, -0.585019, -1.026670]
std: [0.789708, 2.480991, 2.609869, 0.466014, 0.737218, 1.377730]
pca: [[-0.195816, -0.166094, 0.558917, 0.730556, -0.109860, 0.275498, 0.000000, 0.000000, 0.000000, 0.000000], [0.615516, -0.607757, 0.298328, -0.306706, -0.131596, 0.226686, 0.000000, 0.000000, 0.000000, 0.000000], [0.647459, 0.682574, 0.289283, 0.146987, 0.026983, -0.094187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.115310, 0.325435, -0.082282, -0.247893, -0.109885, 0.894706, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182882, 0.014479, 0.453265, -0.282059, 0.824647, 0.035979, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341834, 0.176123, 0.550190, -0.457827, -0.527036, -0.249096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.850369, 12.864399, 14.468573, 17.260372, 35.943199], [40.456140, 41.493814, 44.215438, 52.821483, 194.408237], [41.760041, 43.208334, 48.362925, 56.191313, 216.209509], [7.747430, 7.874366, 7.987808, 9.789028, 14.700252], [12.142260, 12.187034, 13.256081, 15.982478, 52.651686], [22.755403, 22.818083, 24.663934, 29.715355, 92.400282]]
### 8
mean: [-2.317548]
std: [2.764990]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.654004, 46.626883, 49.233596, 59.104779, 208.579322]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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"neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.315365, -0.120312, -0.168522, 0.0952, 0.418056], [0.23574, -0.071552, -0.144916, -0.022322, 0.592717], [0.34066, -0.075075, -0.000832, 0.029784, -0.499045], [-0.256551, -0.319202, -0.035175, 0.390066, 0.014242], [-0.245583, -0.455129, -0.044576, 0.481308, 0.249961], [0.552175, -0.270864, -0.177287, 0.230014, 0.536648]], "network.0.bias": [0.159778, 0.238045, -0.296584, 0.129438, 0.348297, 0.289863], "network.2.weight": [[0.250409, 0.38015, 0.594165, 0.422382, 0.588457, 0.721607], [0.306444, 0.250476, 0.466721, 0.177287, 0.030637, 0.266388], [0.457005, 0.154956, 0.572808, -0.287099, 0.322427, -0.302337], [-0.136408, -0.279166, 0.070229, 0.501762, 0.349816, -0.258589], [0.361183, 0.601565, 0.699807, 0.332456, 0.350247, 0.450056], [-0.186321, 0.035039, -0.484874, 0.250156, -0.331853, 0.072023]], "network.2.bias": [-0.168436, -0.162272, -0.293899, -0.526354, 0.233945, -0.05663], "network.4.weight": [[0.10666, 0.177503, -0.269719, 0.431345, 0.21827, 0.496753], [-0.061128, 0.117427, -0.311196, -0.046684, -0.61488, 0.452292], [0.614424, 0.504852, 0.226297, -0.009122, 0.713553, -0.298596], [0.048363, -0.182704, -0.219851, -0.254495, -0.200973, -0.213609], [-0.159995, 0.118323, -0.301227, 0.38908, -0.096601, 0.317739], [-0.625776, -0.455946, -0.466048, -0.426423, 0.306215, -0.232755]], "network.4.bias": [0.071437, -0.455921, 0.064568, -0.318191, -0.256358, 0.392066], "network.6.weight": [[0.227148, 0.035692, -0.298225, -0.041, 0.080281, -0.007721], [0.125852, 0.129715, 0.695128, -0.118363, 0.15249, -0.758858], [0.216502, 0.197997, 0.749554, -0.034087, -0.006001, -0.043007], [-0.029358, -0.192309, -0.119732, 0.096606, -0.151112, 0.258756], [0.181465, -0.428919, -0.251426, -0.49643, -0.228242, 0.183621], [0.215063, -0.640195, -0.447197, -0.373564, -0.047918, 0.315845]], "network.6.bias": [0.312565, 0.209041, 0.137536, 0.137966, -0.143988, -0.046876], "network.8.weight": [[0.191792, -0.761604, -0.312772, 0.260237, 0.218566, 0.055777]], "network.8.bias": [0.069507]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7041590809822083, "train_acc": 0.47, "val_loss": 0.6790732741355896, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.632940262556076, "train_acc": 0.58, "val_loss": 0.6592801809310913, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5668361186981201, "train_acc": 0.58, "val_loss": 0.5520657300949097, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4682748168706894, "train_acc": 0.615, "val_loss": 0.4311083257198334, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.39876942336559296, "train_acc": 0.895, "val_loss": 0.38432151079177856, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.30105040967464447, "train_acc": 0.915, "val_loss": 0.36830809712409973, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2613818049430847, "train_acc": 0.92, "val_loss": 0.42697715759277344, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.23538349568843842, "train_acc": 0.915, "val_loss": 0.36948463320732117, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.264392726123333, "train_acc": 0.93, "val_loss": 0.3385125994682312, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2708454132080078, "train_acc": 0.915, "val_loss": 0.34019166231155396, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.19296905398368835, "train_acc": 0.935, "val_loss": 0.3545738160610199, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.21466714143753052, "train_acc": 0.925, "val_loss": 0.32642409205436707, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.20642145723104477, "train_acc": 0.925, "val_loss": 0.31354889273643494, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6790732741355896, "final_val_loss": 0.5520657300949097, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4311083257198334, "final_val_loss": 0.31354889273643494, "initial_val_acc": 0.9, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 3}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
47
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.08356802268451656, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.219683,
-0.625681,
0.022487,
-0.672295,
-0.385759
],
[
0.979658,
-0.183958,
0.226107,
0.79305,
0.982179
],
[
-0.194643,
-0.380538,
-0.99116,
-0.325344,
-0.182428
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}
## Activation Signature
### 0
mean: [-3.346194, 4.066576, -3.842020, -1.890774, -5.859486, 0.924599]
std: [2.393996, 3.492849, 2.627334, 1.529702, 3.539393, 2.277744]
pca: [[0.344399, 0.084985, 0.912207, -0.190934, -0.074708, 0.002827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554853, -0.395951, 0.334909, 0.525363, -0.250623, 0.290481, 0.000000, 0.000000, 0.000000, 0.000000], [0.402295, -0.407948, -0.120604, 0.193684, -0.596570, -0.513598, 0.000000, 0.000000, 0.000000, 0.000000], [0.234631, 0.045328, 0.100523, 0.682674, 0.603773, -0.319693, 0.000000, 0.000000, 0.000000, 0.000000], [0.586705, -0.306556, -0.163976, 0.125201, 0.060930, 0.718000, 0.000000, 0.000000, 0.000000, 0.000000], [0.111410, 0.757329, -0.064624, 0.410251, -0.455474, 0.184666, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.077351, 37.867960, 46.355661, 49.167849, 301.157463], [50.016367, 60.971654, 72.170327, 73.047859, 365.991780], [39.277934, 39.549910, 48.191591, 49.487163, 345.781839], [25.887072, 27.569479, 28.322703, 29.313592, 170.169711], [54.700574, 55.130741, 61.089773, 71.346258, 527.353725], [34.671110, 37.139513, 44.159986, 46.095651, 83.213893]]
### 2
mean: [1.064412, -2.825931, 0.348035, -1.666483, 1.216169, -3.357639]
std: [0.912944, 1.771131, 1.459161, 1.590259, 2.711524, 2.254289]
pca: [[-0.114323, -0.372748, -0.349468, 0.255392, 0.419273, 0.696309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422506, 0.193515, 0.562780, 0.666996, -0.085086, 0.123267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296109, -0.389329, -0.063487, 0.170132, 0.528602, -0.669587, 0.000000, 0.000000, 0.000000, 0.000000], [0.067237, 0.744146, -0.506847, 0.311349, 0.270245, -0.121905, 0.000000, 0.000000, 0.000000, 0.000000], [0.663810, 0.075306, 0.499371, 0.036631, 0.547488, 0.056829, 0.000000, 0.000000, 0.000000, 0.000000], [-0.524952, 0.335573, 0.225510, -0.602217, 0.405925, 0.183088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.625682, 13.561380, 15.516634, 17.726515, 95.797077], [25.842300, 31.694773, 35.499034, 37.744344, 254.333779], [21.844014, 25.172669, 25.938003, 29.101735, 31.323112], [23.337819, 23.445527, 26.143006, 26.277212, 149.983492], [42.348283, 44.437366, 51.409696, 57.496999, 109.455240], [32.480131, 39.986002, 46.309431, 46.493394, 302.187506]]
### 4
mean: [0.985584, 0.750761, -1.707860, 0.154767, 0.458911, 0.225666]
std: [1.392707, 2.119509, 1.010758, 0.479605, 1.829571, 2.018459]
pca: [[-0.360753, -0.242217, 0.428235, 0.558013, -0.417666, 0.376802, 0.000000, 0.000000, 0.000000, 0.000000], [0.552400, 0.125889, 0.452911, 0.412695, 0.544059, 0.086958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226316, 0.819506, 0.448979, -0.209079, -0.163530, -0.071780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122027, -0.152153, 0.187017, -0.551382, 0.305340, 0.727825, 0.000000, 0.000000, 0.000000, 0.000000], [0.473641, -0.346631, 0.480424, -0.402166, -0.459033, -0.228595, 0.000000, 0.000000, 0.000000, 0.000000], [-0.523705, -0.332549, 0.379634, -0.093972, 0.445948, -0.513149, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.824437, 25.158225, 26.563693, 29.310523, 88.702601], [32.238257, 37.447865, 40.766156, 45.450125, 67.568459], [16.846742, 17.212859, 19.365232, 21.748300, 153.707420], [7.760536, 8.921972, 9.369351, 9.582933, 13.929023], [28.670698, 28.698701, 35.672145, 40.821891, 41.301971], [29.694851, 30.991230, 36.987263, 38.469197, 42.260337]]
### 6
mean: [-2.308836, -0.683491, 0.702517, 0.340622, -0.161096, 0.591641]
std: [2.808983, 2.113902, 3.843096, 0.852341, 0.612489, 2.707242]
pca: [[0.456458, 0.810121, 0.045444, -0.135869, -0.030421, 0.337490, 0.000000, 0.000000, 0.000000, 0.000000], [0.359714, 0.078359, 0.350682, 0.640257, -0.300529, -0.491163, 0.000000, 0.000000, 0.000000, 0.000000], [0.648835, -0.487062, 0.209007, 0.031562, 0.443992, 0.316188, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144828, -0.045303, -0.352658, 0.675583, -0.154588, 0.610159, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091473, 0.282389, -0.302084, 0.309342, 0.789935, -0.317719, 0.000000, 0.000000, 0.000000, 0.000000], [-0.460351, 0.136157, 0.784634, 0.136049, 0.252456, 0.267665, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.038027, 47.830480, 49.866885, 54.748895, 207.795271], [32.631955, 36.243860, 38.213897, 45.489621, 61.514149], [62.083656, 62.330011, 63.226566, 72.716824, 85.644293], [13.706384, 14.192602, 14.986792, 18.584193, 30.655958], [10.044970, 10.567231, 11.586548, 13.631386, 14.498641], [42.303102, 45.989483, 50.622017, 53.247731, 59.402244]]
### 8
mean: [0.728678, -2.846536, -0.428572, -4.943901, -2.339931, 0.970515]
std: [1.230832, 1.953229, 3.305886, 2.021534, 2.169235, 4.065298]
pca: [[0.202024, -0.030739, 0.638736, -0.465434, -0.099663, 0.568943, 0.000000, 0.000000, 0.000000, 0.000000], [0.269044, 0.497238, 0.214846, -0.339952, 0.521554, -0.496613, 0.000000, 0.000000, 0.000000, 0.000000], [-0.543704, 0.003394, 0.484801, 0.464775, 0.489996, 0.115025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137778, 0.857175, -0.019188, 0.210449, -0.391191, 0.220412, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354219, 0.119747, -0.530526, -0.431837, 0.434823, 0.450751, 0.000000, 0.000000, 0.000000, 0.000000], [0.668381, 0.052056, -0.170294, 0.470123, 0.368579, 0.405820, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.065439, 21.699742, 23.433377, 27.565331, 65.581010], [28.591177, 30.956632, 37.483038, 39.997578, 256.188244], [52.140629, 52.181793, 56.819322, 63.610546, 73.106417], [28.726457, 29.590523, 32.351544, 39.708425, 444.951053], [33.778368, 38.513366, 41.977524, 47.588432, 210.593862], [64.295852, 69.937517, 77.341567, 87.346298, 90.245900]]
### 10
mean: [-0.038726, 0.480674, 0.392283, 1.824311, 0.485528, 0.294949]
std: [0.748313, 0.353091, 1.873705, 3.497836, 1.414728, 2.441259]
pca: [[-0.134708, 0.574929, 0.503285, -0.196779, 0.230872, 0.553165, 0.000000, 0.000000, 0.000000, 0.000000], [0.027790, 0.531485, -0.029278, 0.540345, 0.416375, -0.500553, 0.000000, 0.000000, 0.000000, 0.000000], [0.382285, 0.049376, -0.408143, 0.535923, -0.057868, 0.627915, 0.000000, 0.000000, 0.000000, 0.000000], [0.713749, -0.031649, 0.595305, 0.109642, -0.308577, -0.167124, 0.000000, 0.000000, 0.000000, 0.000000], [0.279179, 0.587418, -0.449835, -0.466019, -0.369448, -0.144855, 0.000000, 0.000000, 0.000000, 0.000000], [0.497554, -0.196166, -0.150088, -0.391020, 0.733669, 0.016297, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.396083, 11.581791, 11.656761, 13.783098, 16.651756], [5.130944, 5.628446, 5.799242, 6.742054, 43.260625], [29.349330, 33.380591, 35.305492, 35.502263, 41.886592], [54.922652, 62.603622, 65.783406, 78.455997, 164.188027], [22.257353, 25.998581, 27.267761, 29.082240, 43.697532], [37.925266, 38.229200, 43.065012, 45.707236, 55.040031]]
### 12
mean: [-1.661669]
std: [3.411764]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.714706, 61.948245, 65.293214, 74.740153, 149.550256]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.467498,
0.126487,
0.532752,
0.283878
],
[
-0.138505,
-0.355237,
0.343142,
0.005349,
-0.08116,
0.189079
],
[
0.805087,
-0.187975,
-0.301466,
-0.362812,
0.093757,
0.208131
],
[
0.765177,
-0.822007,
-0.695818,
-0.346543,
0.755196,
0.600986
],
[
-0.335863,
0.775363,
0.056979,
0.56654,
0.922402,
0.578675
],
[
0.210542,
-0.457597,
-0.653625,
-1.001653,
0.109182,
0.502471
]
],
"network.10.bias": [
-0.333211,
-0.22312,
-0.333698,
0.758454,
-0.388956,
-0.227106
],
"network.12.weight": [
[
0.469712,
0.337262,
-0.15288,
-0.634318,
-0.395805,
-0.336428
]
],
"network.12.bias": [
0.301279
]
}
## Activation Signature
### 0
mean: [-3.346194, 4.066576, -3.842020, -1.890774, -5.859486, 0.924599]
std: [2.393996, 3.492849, 2.627334, 1.529702, 3.539393, 2.277744]
pca: [[0.344399, 0.084985, 0.912207, -0.190934, -0.074708, 0.002827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.554853, -0.395951, 0.334909, 0.525363, -0.250623, 0.290481, 0.000000, 0.000000, 0.000000, 0.000000], [0.402295, -0.407948, -0.120604, 0.193684, -0.596570, -0.513598, 0.000000, 0.000000, 0.000000, 0.000000], [0.234631, 0.045328, 0.100523, 0.682674, 0.603773, -0.319693, 0.000000, 0.000000, 0.000000, 0.000000], [0.586705, -0.306556, -0.163976, 0.125201, 0.060930, 0.718000, 0.000000, 0.000000, 0.000000, 0.000000], [0.111410, 0.757329, -0.064624, 0.410251, -0.455474, 0.184666, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.077351, 37.867960, 46.355661, 49.167849, 301.157463], [50.016367, 60.971654, 72.170327, 73.047859, 365.991780], [39.277934, 39.549910, 48.191591, 49.487163, 345.781839], [25.887072, 27.569479, 28.322703, 29.313592, 170.169711], [54.700574, 55.130741, 61.089773, 71.346258, 527.353725], [34.671110, 37.139513, 44.159986, 46.095651, 83.213893]]
### 2
mean: [1.064412, -2.825931, 0.348035, -1.666483, 1.216169, -3.357639]
std: [0.912944, 1.771131, 1.459161, 1.590259, 2.711524, 2.254289]
pca: [[-0.114323, -0.372748, -0.349468, 0.255392, 0.419273, 0.696309, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422506, 0.193515, 0.562780, 0.666996, -0.085086, 0.123267, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296109, -0.389329, -0.063487, 0.170132, 0.528602, -0.669587, 0.000000, 0.000000, 0.000000, 0.000000], [0.067237, 0.744146, -0.506847, 0.311349, 0.270245, -0.121905, 0.000000, 0.000000, 0.000000, 0.000000], [0.663810, 0.075306, 0.499371, 0.036631, 0.547488, 0.056829, 0.000000, 0.000000, 0.000000, 0.000000], [-0.524952, 0.335573, 0.225510, -0.602217, 0.405925, 0.183088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.625682, 13.561380, 15.516634, 17.726515, 95.797077], [25.842300, 31.694773, 35.499034, 37.744344, 254.333779], [21.844014, 25.172669, 25.938003, 29.101735, 31.323112], [23.337819, 23.445527, 26.143006, 26.277212, 149.983492], [42.348283, 44.437366, 51.409696, 57.496999, 109.455240], [32.480131, 39.986002, 46.309431, 46.493394, 302.187506]]
### 4
mean: [0.985584, 0.750761, -1.707860, 0.154767, 0.458911, 0.225666]
std: [1.392707, 2.119509, 1.010758, 0.479605, 1.829571, 2.018459]
pca: [[-0.360753, -0.242217, 0.428235, 0.558013, -0.417666, 0.376802, 0.000000, 0.000000, 0.000000, 0.000000], [0.552400, 0.125889, 0.452911, 0.412695, 0.544059, 0.086958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.226316, 0.819506, 0.448979, -0.209079, -0.163530, -0.071780, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122027, -0.152153, 0.187017, -0.551382, 0.305340, 0.727825, 0.000000, 0.000000, 0.000000, 0.000000], [0.473641, -0.346631, 0.480424, -0.402166, -0.459033, -0.228595, 0.000000, 0.000000, 0.000000, 0.000000], [-0.523705, -0.332549, 0.379634, -0.093972, 0.445948, -0.513149, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.824437, 25.158225, 26.563693, 29.310523, 88.702601], [32.238257, 37.447865, 40.766156, 45.450125, 67.568459], [16.846742, 17.212859, 19.365232, 21.748300, 153.707420], [7.760536, 8.921972, 9.369351, 9.582933, 13.929023], [28.670698, 28.698701, 35.672145, 40.821891, 41.301971], [29.694851, 30.991230, 36.987263, 38.469197, 42.260337]]
### 6
mean: [-2.308836, -0.683491, 0.702517, 0.340622, -0.161096, 0.591641]
std: [2.808983, 2.113902, 3.843096, 0.852341, 0.612489, 2.707242]
pca: [[0.456458, 0.810121, 0.045444, -0.135869, -0.030421, 0.337490, 0.000000, 0.000000, 0.000000, 0.000000], [0.359714, 0.078359, 0.350682, 0.640257, -0.300529, -0.491163, 0.000000, 0.000000, 0.000000, 0.000000], [0.648835, -0.487062, 0.209007, 0.031562, 0.443992, 0.316188, 0.000000, 0.000000, 0.000000, 0.000000], [-0.144828, -0.045303, -0.352658, 0.675583, -0.154588, 0.610159, 0.000000, 0.000000, 0.000000, 0.000000], [-0.091473, 0.282389, -0.302084, 0.309342, 0.789935, -0.317719, 0.000000, 0.000000, 0.000000, 0.000000], [-0.460351, 0.136157, 0.784634, 0.136049, 0.252456, 0.267665, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.038027, 47.830480, 49.866885, 54.748895, 207.795271], [32.631955, 36.243860, 38.213897, 45.489621, 61.514149], [62.083656, 62.330011, 63.226566, 72.716824, 85.644293], [13.706384, 14.192602, 14.986792, 18.584193, 30.655958], [10.044970, 10.567231, 11.586548, 13.631386, 14.498641], [42.303102, 45.989483, 50.622017, 53.247731, 59.402244]]
### 8
mean: [0.728678, -2.846536, -0.428572, -4.943901, -2.339931, 0.970515]
std: [1.230832, 1.953229, 3.305886, 2.021534, 2.169235, 4.065298]
pca: [[0.202024, -0.030739, 0.638736, -0.465434, -0.099663, 0.568943, 0.000000, 0.000000, 0.000000, 0.000000], [0.269044, 0.497238, 0.214846, -0.339952, 0.521554, -0.496613, 0.000000, 0.000000, 0.000000, 0.000000], [-0.543704, 0.003394, 0.484801, 0.464775, 0.489996, 0.115025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.137778, 0.857175, -0.019188, 0.210449, -0.391191, 0.220412, 0.000000, 0.000000, 0.000000, 0.000000], [-0.354219, 0.119747, -0.530526, -0.431837, 0.434823, 0.450751, 0.000000, 0.000000, 0.000000, 0.000000], [0.668381, 0.052056, -0.170294, 0.470123, 0.368579, 0.405820, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.065439, 21.699742, 23.433377, 27.565331, 65.581010], [28.591177, 30.956632, 37.483038, 39.997578, 256.188244], [52.140629, 52.181793, 56.819322, 63.610546, 73.106417], [28.726457, 29.590523, 32.351544, 39.708425, 444.951053], [33.778368, 38.513366, 41.977524, 47.588432, 210.593862], [64.295852, 69.937517, 77.341567, 87.346298, 90.245900]]
### 10
mean: [-0.038726, 0.480674, 0.392283, 1.824311, 0.485528, 0.294949]
std: [0.748313, 0.353091, 1.873705, 3.497836, 1.414728, 2.441259]
pca: [[-0.134708, 0.574929, 0.503285, -0.196779, 0.230872, 0.553165, 0.000000, 0.000000, 0.000000, 0.000000], [0.027790, 0.531485, -0.029278, 0.540345, 0.416375, -0.500553, 0.000000, 0.000000, 0.000000, 0.000000], [0.382285, 0.049376, -0.408143, 0.535923, -0.057868, 0.627915, 0.000000, 0.000000, 0.000000, 0.000000], [0.713749, -0.031649, 0.595305, 0.109642, -0.308577, -0.167124, 0.000000, 0.000000, 0.000000, 0.000000], [0.279179, 0.587418, -0.449835, -0.466019, -0.369448, -0.144855, 0.000000, 0.000000, 0.000000, 0.000000], [0.497554, -0.196166, -0.150088, -0.391020, 0.733669, 0.016297, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.396083, 11.581791, 11.656761, 13.783098, 16.651756], [5.130944, 5.628446, 5.799242, 6.742054, 43.260625], [29.349330, 33.380591, 35.305492, 35.502263, 41.886592], [54.922652, 62.603622, 65.783406, 78.455997, 164.188027], [22.257353, 25.998581, 27.267761, 29.082240, 43.697532], [37.925266, 38.229200, 43.065012, 45.707236, 55.040031]]
### 12
mean: [-1.661669]
std: [3.411764]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.714706, 61.948245, 65.293214, 74.740153, 149.550256]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.219683, -0.625681, 0.022487, -0.672295, -0.385759], [0.979658, -0.183958, 0.226107, 0.79305, 0.982179], [-0.194643, -0.380538, -0.99116, -0.325344, -0.182428], [-0.144747, -0.487623, -0.143341, 0.015814, -0.499128], [-0.479929, -0.414419, -1.075799, -0.55399, -0.492825], [-0.463402, 0.007744, 0.821955, 0.03929, -0.994494]], "network.0.bias": [-0.062185, -0.201661, 0.086727, 0.059016, -0.464035, 0.912481], "network.2.weight": [[-0.598064, 0.047977, -0.024942, 0.033363, -0.752189, 0.592956], [0.221149, -0.490188, 0.664464, 0.277787, -0.396335, 0.092885], [-0.31623, -0.125272, 0.294653, -0.123254, -0.704751, 0.75721], [-0.210642, -0.225103, -0.356899, -0.134655, -0.404099, -1.021116], [1.310248, 0.60543, -0.745327, 0.436242, 0.462564, -0.639909], [0.123644, -0.651098, 0.110513, -0.372726, 0.545472, -0.023886]], "network.2.bias": [0.025669, -0.942756, -0.208246, 0.615859, -0.300293, -0.68842], "network.4.weight": [[0.63191, -0.612109, 0.069203, -0.560584, -0.40747, -0.639373], [-0.007528, 0.43415, -0.79497, -0.047661, 0.660513, 0.510174], [-0.09785, 1.092826, -0.12816, 0.37126, -0.501878, 0.410817], [0.048092, -0.000199, 0.209196, 0.115705, -0.129289, 0.589995], [-0.091913, 0.985984, -0.317962, -0.223539, 0.660742, 0.741846], [0.579569, -0.643604, 0.381048, -0.207764, -0.594893, -0.229059]], "network.4.bias": [0.907746, 0.251801, -0.617689, 0.214904, -0.243024, 0.333213], "network.6.weight": [[-1.148425, 0.179833, 0.558789, -0.069019, 0.105766, -1.031445], [-0.811597, 0.303364, 0.267206, -0.185999, 0.324378, -0.307055], [-0.810866, 0.822152, 0.60164, 0.238022, 0.884974, -0.570563], [0.251255, -0.258809, -0.289099, -0.350447, 0.003463, 0.279536], [-0.055566, -0.414321, -0.560802, 0.186442, 0.036114, -0.078404], [0.272842, -0.570082, -0.87226, 0.534796, -0.521451, 0.668943]], "network.6.bias": [-0.346192, -0.074086, 0.421484, 0.139813, 0.329921, 0.629426], "network.8.weight": [[-0.097315, 0.031898, 0.366067, 0.252159, -0.174569, -0.251241], [0.275024, 0.119068, -0.043062, 0.079378, -0.81667, -1.212029], [-0.178525, -0.552066, -0.68815, 0.326656, -0.022302, 0.53627], [-0.198683, -0.316891, -0.786798, -0.425849, -0.595987, -1.155525], [0.407945, -0.168449, -0.676823, 0.688901, 0.075993, -0.081542], [0.222874, 0.58486, 0.813885, -0.895142, -0.520899, -0.560036]], "network.8.bias": [0.294055, -1.111133, 0.293815, -1.349624, -1.210089, 0.290835], "network.10.weight": [[-0.989781, 0.128441, 0.467498, 0.126487, 0.532752, 0.283878], [-0.138505, -0.355237, 0.343142, 0.005349, -0.08116, 0.189079], [0.805087, -0.187975, -0.301466, -0.362812, 0.093757, 0.208131], [0.765177, -0.822007, -0.695818, -0.346543, 0.755196, 0.600986], [-0.335863, 0.775363, 0.056979, 0.56654, 0.922402, 0.578675], [0.210542, -0.457597, -0.653625, -1.001653, 0.109182, 0.502471]], "network.10.bias": [-0.333211, -0.22312, -0.333698, 0.758454, -0.388956, -0.227106], "network.12.weight": [[0.469712, 0.337262, -0.15288, -0.634318, -0.395805, -0.336428]], "network.12.bias": [0.301279]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7139422595500946, "train_acc": 0.425, "val_loss": 0.6979189515113831, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6939050257205963, "train_acc": 0.575, "val_loss": 0.7200202941894531, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6750213801860809, "train_acc": 0.575, "val_loss": 0.7078514099121094, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6735662221908569, "train_acc": 0.575, "val_loss": 0.654421865940094, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5568504333496094, "train_acc": 0.64, "val_loss": 0.47597944736480713, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4122309684753418, "train_acc": 0.83, "val_loss": 0.616809606552124, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.43700022995471954, "train_acc": 0.84, "val_loss": 0.42422959208488464, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.44504301249980927, "train_acc": 0.785, "val_loss": 0.42672890424728394, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.44693687558174133, "train_acc": 0.795, "val_loss": 0.4407821297645569, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.42280399799346924, "train_acc": 0.805, "val_loss": 0.4082297384738922, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.42133137583732605, "train_acc": 0.8, "val_loss": 0.39145222306251526, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.40635016560554504, "train_acc": 0.815, "val_loss": 0.3564234972000122, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3938828557729721, "train_acc": 0.81, "val_loss": 0.36359715461730957, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.37599173188209534, "train_acc": 0.815, "val_loss": 0.3657971918582916, "val_acc": 0.8}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6979189515113831, "final_val_loss": 0.654421865940094, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.47597944736480713, "final_val_loss": 0.3657971918582916, "initial_val_acc": 0.76, "final_val_acc": 0.8, "best_val_acc": 0.86, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
48
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8890, "learning_rate": 0.024940936964749232, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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],
[
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]
],
"network.4.bias": [
0.278388,
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [0.667558, -1.798864, 0.553678, -2.222898, 0.686585, -0.105954]
std: [0.805593, 1.144781, 1.468236, 1.337160, 1.254331, 0.963815]
pca: [[0.126309, 0.127313, 0.514441, -0.474700, -0.072397, 0.687463, 0.000000, 0.000000, 0.000000, 0.000000], [0.017185, 0.591312, -0.389690, 0.471955, -0.204671, 0.483285, 0.000000, 0.000000, 0.000000, 0.000000], [0.764612, 0.014996, 0.057371, 0.226551, 0.599511, 0.033377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383700, 0.660538, 0.332579, -0.044954, 0.473699, -0.281859, 0.000000, 0.000000, 0.000000, 0.000000], [0.480347, 0.444236, -0.149518, -0.452694, -0.415262, -0.414958, 0.000000, 0.000000, 0.000000, 0.000000], [0.145467, 0.016170, 0.668757, 0.541885, -0.443420, -0.202684, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.280187, 13.804343, 14.675749, 14.961588, 60.080259], [18.446289, 18.562086, 20.921012, 24.520480, 161.897777], [22.481422, 23.284354, 24.601205, 27.223700, 49.830977], [19.743479, 20.937214, 24.676565, 26.434245, 200.060811], [19.137901, 20.400296, 21.653987, 28.222578, 61.792639], [12.940044, 15.609831, 15.903149, 16.839427, 17.565087]]
### 2
mean: [0.306214, 1.745773, 1.160590, 1.547541, -0.561646, 0.365489]
std: [0.320712, 1.102523, 0.986963, 1.101732, 0.375073, 0.590618]
pca: [[0.099756, 0.036992, 0.888731, -0.218971, 0.181341, -0.343517, 0.000000, 0.000000, 0.000000, 0.000000], [0.557096, 0.558578, -0.109272, -0.527275, 0.035333, 0.293985, 0.000000, 0.000000, 0.000000, 0.000000], [0.498696, -0.460636, -0.351346, -0.176869, 0.283014, -0.551628, 0.000000, 0.000000, 0.000000, 0.000000], [0.572308, 0.193025, 0.121849, 0.689009, -0.359872, -0.126953, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145327, 0.506201, -0.144523, 0.351436, 0.734184, -0.198040, 0.000000, 0.000000, 0.000000, 0.000000], [0.286949, -0.425369, 0.197581, 0.210972, 0.466086, 0.660256, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.371426, 5.266328, 5.411972, 6.885660, 27.559246], [17.586225, 18.921821, 20.253650, 20.963190, 157.119571], [14.909655, 15.259612, 17.322190, 18.761678, 104.453116], [17.040740, 18.932721, 19.814007, 20.228507, 139.278717], [6.126858, 6.336505, 6.427548, 6.602954, 50.548170], [8.789206, 9.659555, 9.942531, 11.051035, 32.894004]]
### 4
mean: [3.083969, 1.463074, 2.375567, -0.992821, 0.292310, 1.686344]
std: [2.014336, 1.108176, 1.730953, 0.764429, 0.256996, 1.585926]
pca: [[0.596213, -0.293302, -0.374902, 0.094922, 0.529779, 0.358156, 0.000000, 0.000000, 0.000000, 0.000000], [0.326580, 0.573953, 0.297484, 0.146127, -0.279851, 0.612990, 0.000000, 0.000000, 0.000000, 0.000000], [0.512133, 0.289714, -0.488822, -0.144238, -0.421668, -0.465007, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225983, 0.136955, -0.336161, 0.901021, -0.022134, -0.069592, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066979, 0.670028, 0.036156, -0.109694, 0.676848, -0.274067, 0.000000, 0.000000, 0.000000, 0.000000], [0.469085, -0.181450, 0.646292, 0.353499, 0.067823, -0.446968, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.982056, 32.937222, 36.172733, 36.889279, 277.557169], [16.527702, 17.289346, 20.106746, 20.471798, 131.676623], [26.620401, 28.566636, 31.440774, 31.632559, 213.801066], [11.732946, 12.265253, 13.532048, 14.205047, 89.353917], [3.952590, 4.165176, 4.426348, 4.650273, 26.307921], [24.456051, 25.262785, 28.279175, 29.445670, 151.770940]]
### 6
mean: [-2.476594, -0.631914, 4.117132, 0.359470, -2.253582, 2.895538]
std: [1.643944, 0.475595, 3.613836, 0.082461, 1.511415, 2.355919]
pca: [[-0.336741, 0.312538, 0.798626, 0.330171, 0.024915, -0.203688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097186, 0.461441, 0.058187, -0.477837, 0.622246, 0.398401, 0.000000, 0.000000, 0.000000, 0.000000], [0.740382, -0.190154, 0.495165, -0.006038, -0.056168, 0.409018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.014596, 0.568397, -0.239371, 0.383554, -0.443170, 0.525262, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309569, -0.484282, -0.052342, 0.523856, 0.420805, 0.464108, 0.000000, 0.000000, 0.000000, 0.000000], [0.482648, 0.309240, -0.231482, 0.491003, 0.485342, -0.375761, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.904263, 26.910334, 29.632857, 29.945520, 222.893473], [7.642312, 7.912547, 8.540260, 8.544493, 56.872233], [57.117845, 58.372821, 65.015689, 65.832932, 370.541889], [1.230505, 1.397750, 1.457309, 1.507727, 32.352276], [23.640594, 24.023951, 27.192206, 27.801264, 202.822399], [36.943725, 38.110005, 42.509739, 42.856103, 260.598373]]
### 8
mean: [-0.828532, 2.896148, -0.346142, 3.050850, 1.260867, 2.421627]
std: [0.598293, 2.823896, 0.230272, 2.569183, 0.638217, 2.148525]
pca: [[-0.133698, -0.291895, 0.780947, 0.389015, -0.140702, 0.340462, 0.000000, 0.000000, 0.000000, 0.000000], [0.631309, -0.420019, -0.135844, -0.266215, 0.141194, 0.561937, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051318, 0.490794, -0.000920, 0.286655, 0.729644, 0.376743, 0.000000, 0.000000, 0.000000, 0.000000], [0.574357, 0.468156, 0.536686, -0.276886, -0.013578, -0.293362, 0.000000, 0.000000, 0.000000, 0.000000], [0.142619, 0.494652, -0.227670, 0.256915, -0.650973, 0.439743, 0.000000, 0.000000, 0.000000, 0.000000], [0.480327, -0.183444, -0.178329, 0.743609, 0.062738, -0.383331, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.462637, 9.781041, 10.780713, 10.847389, 74.567901], [44.924499, 45.708181, 50.720882, 50.918475, 260.653295], [3.707622, 3.773168, 4.058490, 4.077979, 31.152783], [40.599524, 41.515224, 46.247885, 46.481201, 274.576499], [10.004389, 10.361562, 11.526220, 11.607151, 113.478014], [34.147441, 34.786825, 38.605647, 38.765422, 217.946431]]
### 10
mean: [-1.702809, 4.456121, 0.199974, -0.214143, 0.282940, -0.584492]
std: [1.379676, 4.022593, 0.360294, 0.507674, 0.224382, 0.251052]
pca: [[-0.320051, 0.113175, 0.112330, 0.724559, -0.244350, -0.536142, 0.000000, 0.000000, 0.000000, 0.000000], [0.933154, 0.061409, 0.184039, 0.254886, -0.125984, -0.103649, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083560, 0.106324, 0.742177, 0.083746, 0.649499, 0.044988, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117613, -0.465863, 0.509277, 0.075126, -0.560677, 0.435630, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051594, 0.531125, 0.367998, -0.544987, -0.421347, -0.324464, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057559, 0.687745, -0.088878, 0.316827, -0.103348, 0.636187, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.861144, 22.216124, 24.643051, 24.822447, 153.252807], [63.708592, 64.770295, 71.964774, 72.429991, 401.050932], [5.773808, 5.801018, 6.423649, 6.433405, 17.997618], [8.097422, 8.264297, 9.129166, 9.204438, 19.272906], [3.485930, 3.544005, 3.872847, 3.931439, 25.464631], [3.885909, 3.897976, 4.273782, 4.419179, 52.604275]]
### 12
mean: [-1.812301]
std: [2.052733]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.923123, 34.161463, 36.005480, 37.293835, 163.107124]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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],
"network.2.bias": [
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[
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"network.10.weight": [
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[
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[
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],
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.667558, -1.798864, 0.553678, -2.222898, 0.686585, -0.105954]
std: [0.805593, 1.144781, 1.468236, 1.337160, 1.254331, 0.963815]
pca: [[0.126309, 0.127313, 0.514441, -0.474700, -0.072397, 0.687463, 0.000000, 0.000000, 0.000000, 0.000000], [0.017185, 0.591312, -0.389690, 0.471955, -0.204671, 0.483285, 0.000000, 0.000000, 0.000000, 0.000000], [0.764612, 0.014996, 0.057371, 0.226551, 0.599511, 0.033377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383700, 0.660538, 0.332579, -0.044954, 0.473699, -0.281859, 0.000000, 0.000000, 0.000000, 0.000000], [0.480347, 0.444236, -0.149518, -0.452694, -0.415262, -0.414958, 0.000000, 0.000000, 0.000000, 0.000000], [0.145467, 0.016170, 0.668757, 0.541885, -0.443420, -0.202684, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.280187, 13.804343, 14.675749, 14.961588, 60.080259], [18.446289, 18.562086, 20.921012, 24.520480, 161.897777], [22.481422, 23.284354, 24.601205, 27.223700, 49.830977], [19.743479, 20.937214, 24.676565, 26.434245, 200.060811], [19.137901, 20.400296, 21.653987, 28.222578, 61.792639], [12.940044, 15.609831, 15.903149, 16.839427, 17.565087]]
### 2
mean: [0.306214, 1.745773, 1.160590, 1.547541, -0.561646, 0.365489]
std: [0.320712, 1.102523, 0.986963, 1.101732, 0.375073, 0.590618]
pca: [[0.099756, 0.036992, 0.888731, -0.218971, 0.181341, -0.343517, 0.000000, 0.000000, 0.000000, 0.000000], [0.557096, 0.558578, -0.109272, -0.527275, 0.035333, 0.293985, 0.000000, 0.000000, 0.000000, 0.000000], [0.498696, -0.460636, -0.351346, -0.176869, 0.283014, -0.551628, 0.000000, 0.000000, 0.000000, 0.000000], [0.572308, 0.193025, 0.121849, 0.689009, -0.359872, -0.126953, 0.000000, 0.000000, 0.000000, 0.000000], [-0.145327, 0.506201, -0.144523, 0.351436, 0.734184, -0.198040, 0.000000, 0.000000, 0.000000, 0.000000], [0.286949, -0.425369, 0.197581, 0.210972, 0.466086, 0.660256, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.371426, 5.266328, 5.411972, 6.885660, 27.559246], [17.586225, 18.921821, 20.253650, 20.963190, 157.119571], [14.909655, 15.259612, 17.322190, 18.761678, 104.453116], [17.040740, 18.932721, 19.814007, 20.228507, 139.278717], [6.126858, 6.336505, 6.427548, 6.602954, 50.548170], [8.789206, 9.659555, 9.942531, 11.051035, 32.894004]]
### 4
mean: [3.083969, 1.463074, 2.375567, -0.992821, 0.292310, 1.686344]
std: [2.014336, 1.108176, 1.730953, 0.764429, 0.256996, 1.585926]
pca: [[0.596213, -0.293302, -0.374902, 0.094922, 0.529779, 0.358156, 0.000000, 0.000000, 0.000000, 0.000000], [0.326580, 0.573953, 0.297484, 0.146127, -0.279851, 0.612990, 0.000000, 0.000000, 0.000000, 0.000000], [0.512133, 0.289714, -0.488822, -0.144238, -0.421668, -0.465007, 0.000000, 0.000000, 0.000000, 0.000000], [-0.225983, 0.136955, -0.336161, 0.901021, -0.022134, -0.069592, 0.000000, 0.000000, 0.000000, 0.000000], [-0.066979, 0.670028, 0.036156, -0.109694, 0.676848, -0.274067, 0.000000, 0.000000, 0.000000, 0.000000], [0.469085, -0.181450, 0.646292, 0.353499, 0.067823, -0.446968, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.982056, 32.937222, 36.172733, 36.889279, 277.557169], [16.527702, 17.289346, 20.106746, 20.471798, 131.676623], [26.620401, 28.566636, 31.440774, 31.632559, 213.801066], [11.732946, 12.265253, 13.532048, 14.205047, 89.353917], [3.952590, 4.165176, 4.426348, 4.650273, 26.307921], [24.456051, 25.262785, 28.279175, 29.445670, 151.770940]]
### 6
mean: [-2.476594, -0.631914, 4.117132, 0.359470, -2.253582, 2.895538]
std: [1.643944, 0.475595, 3.613836, 0.082461, 1.511415, 2.355919]
pca: [[-0.336741, 0.312538, 0.798626, 0.330171, 0.024915, -0.203688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097186, 0.461441, 0.058187, -0.477837, 0.622246, 0.398401, 0.000000, 0.000000, 0.000000, 0.000000], [0.740382, -0.190154, 0.495165, -0.006038, -0.056168, 0.409018, 0.000000, 0.000000, 0.000000, 0.000000], [-0.014596, 0.568397, -0.239371, 0.383554, -0.443170, 0.525262, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309569, -0.484282, -0.052342, 0.523856, 0.420805, 0.464108, 0.000000, 0.000000, 0.000000, 0.000000], [0.482648, 0.309240, -0.231482, 0.491003, 0.485342, -0.375761, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.904263, 26.910334, 29.632857, 29.945520, 222.893473], [7.642312, 7.912547, 8.540260, 8.544493, 56.872233], [57.117845, 58.372821, 65.015689, 65.832932, 370.541889], [1.230505, 1.397750, 1.457309, 1.507727, 32.352276], [23.640594, 24.023951, 27.192206, 27.801264, 202.822399], [36.943725, 38.110005, 42.509739, 42.856103, 260.598373]]
### 8
mean: [-0.828532, 2.896148, -0.346142, 3.050850, 1.260867, 2.421627]
std: [0.598293, 2.823896, 0.230272, 2.569183, 0.638217, 2.148525]
pca: [[-0.133698, -0.291895, 0.780947, 0.389015, -0.140702, 0.340462, 0.000000, 0.000000, 0.000000, 0.000000], [0.631309, -0.420019, -0.135844, -0.266215, 0.141194, 0.561937, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051318, 0.490794, -0.000920, 0.286655, 0.729644, 0.376743, 0.000000, 0.000000, 0.000000, 0.000000], [0.574357, 0.468156, 0.536686, -0.276886, -0.013578, -0.293362, 0.000000, 0.000000, 0.000000, 0.000000], [0.142619, 0.494652, -0.227670, 0.256915, -0.650973, 0.439743, 0.000000, 0.000000, 0.000000, 0.000000], [0.480327, -0.183444, -0.178329, 0.743609, 0.062738, -0.383331, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.462637, 9.781041, 10.780713, 10.847389, 74.567901], [44.924499, 45.708181, 50.720882, 50.918475, 260.653295], [3.707622, 3.773168, 4.058490, 4.077979, 31.152783], [40.599524, 41.515224, 46.247885, 46.481201, 274.576499], [10.004389, 10.361562, 11.526220, 11.607151, 113.478014], [34.147441, 34.786825, 38.605647, 38.765422, 217.946431]]
### 10
mean: [-1.702809, 4.456121, 0.199974, -0.214143, 0.282940, -0.584492]
std: [1.379676, 4.022593, 0.360294, 0.507674, 0.224382, 0.251052]
pca: [[-0.320051, 0.113175, 0.112330, 0.724559, -0.244350, -0.536142, 0.000000, 0.000000, 0.000000, 0.000000], [0.933154, 0.061409, 0.184039, 0.254886, -0.125984, -0.103649, 0.000000, 0.000000, 0.000000, 0.000000], [-0.083560, 0.106324, 0.742177, 0.083746, 0.649499, 0.044988, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117613, -0.465863, 0.509277, 0.075126, -0.560677, 0.435630, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051594, 0.531125, 0.367998, -0.544987, -0.421347, -0.324464, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057559, 0.687745, -0.088878, 0.316827, -0.103348, 0.636187, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.861144, 22.216124, 24.643051, 24.822447, 153.252807], [63.708592, 64.770295, 71.964774, 72.429991, 401.050932], [5.773808, 5.801018, 6.423649, 6.433405, 17.997618], [8.097422, 8.264297, 9.129166, 9.204438, 19.272906], [3.485930, 3.544005, 3.872847, 3.931439, 25.464631], [3.885909, 3.897976, 4.273782, 4.419179, 52.604275]]
### 12
mean: [-1.812301]
std: [2.052733]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.923123, 34.161463, 36.005480, 37.293835, 163.107124]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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"num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.293548, -0.108346, 0.35796, 0.027094, 0.04522], [-0.258201, 0.172004, -0.400283, -0.174749, -0.148629], [-0.380903, 0.066374, -0.190443, 0.390296, 0.448532], [-0.243412, -0.184068, 0.090293, -0.411058, -0.290764], [-0.545482, 0.124178, 0.077315, 0.267186, -0.10901], [-0.21877, 0.055308, -0.055532, -0.235891, 0.500369]], "network.0.bias": [0.368681, -0.396781, -0.0856, -0.533085, 0.539105, 0.070242], "network.2.weight": [[0.263168, -0.01305, -0.088177, 0.080309, 0.084773, 0.444434], [0.638392, 0.455601, 0.398475, 0.012936, 0.664857, 0.21868], [0.203356, -0.04099, 0.660324, -0.253558, 0.231229, 0.316252], [0.486403, -0.036474, 0.397061, 0.253414, 0.638657, 0.526966], [-0.007794, 0.348512, -0.263969, 0.137982, 0.109425, -0.252865], [0.113768, -0.093069, 0.325554, -0.097016, 0.096876, 0.423553]], "network.2.bias": [-0.040962, 0.208327, 0.105377, 0.050278, -0.347344, -0.235795], "network.4.weight": [[0.41805, 0.551378, 0.416401, 0.689006, 0.393176, 0.39105], [-0.258056, 0.297974, 0.380892, 0.364012, 0.092722, 0.14315], [-0.047584, 0.492502, 0.27825, 0.728423, -0.143071, 0.299657], [-0.168781, -0.291596, -0.229519, -0.041602, -0.383007, -0.315468], [-0.426965, -0.011627, 0.037731, -0.066715, -0.018468, -0.195166], [0.316902, 0.387803, 0.57736, 0.345336, -0.179626, 0.36706]], "network.4.bias": [0.278388, -0.041317, -0.044194, 0.031034, 0.586832, -0.447013], "network.6.weight": [[-0.308649, -0.004422, -0.406968, -0.335836, 0.170091, -0.185408], [-0.354706, -0.176225, 0.222678, 0.205696, 0.230263, 0.057221], [0.652491, 0.489034, 0.332402, -0.103441, -0.535023, 0.712694], [-0.081338, 0.322367, -0.094674, 0.004879, 0.045975, -0.059456], [-0.244637, -0.322644, -0.130535, 0.403411, -0.049113, -0.289742], [0.090686, 0.404106, 0.518041, -0.102912, -0.425416, 0.494313]], "network.6.bias": [-0.286294, 0.018585, -0.457602, 0.451348, -0.201882, 0.078006], "network.8.weight": [[-0.033688, -0.167921, 0.06188, 0.392548, 0.253784, -0.336089], [0.32842, -0.403077, 0.627123, -0.497504, -0.112339, 0.237781], [0.348277, -0.17135, -0.198359, 0.099544, -0.094617, 0.205367], [-0.04037, -0.314367, 0.36227, -0.024111, -0.254044, 0.544346], [-0.098257, -0.175286, -0.066214, -0.11794, -0.383689, 0.367961], [-0.292501, -0.26428, 0.426816, -0.386497, 0.053336, 0.256787]], "network.8.bias": [-0.252953, -0.226843, -0.151064, -0.027869, 0.512223, 0.038043], "network.10.weight": [[0.246586, -0.234395, 0.157002, 0.039836, -0.309397, -0.301392], [-0.214676, 0.597931, -0.114492, 0.588846, 0.142577, 0.367182], [0.054172, 0.006957, -0.103466, -0.043052, 0.36692, -0.23645], [0.346692, 0.200336, -0.010199, -0.222473, 0.225767, -0.296668], [0.013331, -0.21231, 0.014148, -0.035648, 0.453708, 0.07655], [0.304542, -0.347307, 0.108237, 0.268554, -0.193642, 0.066198]], "network.10.bias": [-0.004117, -0.191379, 0.42529, 0.311126, 0.262318, -0.292984], "network.12.weight": [[0.218058, -0.459647, 0.467028, 0.27699, 0.455476, 0.116464]], "network.12.bias": [-0.05204]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6983940899372101, "train_acc": 0.445, "val_loss": 0.6842834949493408, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819095015525818, "train_acc": 0.555, "val_loss": 0.6789032816886902, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6807115375995636, "train_acc": 0.555, "val_loss": 0.6673303246498108, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6702867150306702, "train_acc": 0.555, "val_loss": 0.6371042132377625, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6539055705070496, "train_acc": 0.48, "val_loss": 0.5590503811836243, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.550085723400116, "train_acc": 0.48, "val_loss": 0.44085052609443665, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.45146703720092773, "train_acc": 0.795, "val_loss": 0.3424873352050781, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.34786681830883026, "train_acc": 0.915, "val_loss": 0.2809990644454956, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.29827573895454407, "train_acc": 0.945, "val_loss": 0.26421913504600525, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.25069428980350494, "train_acc": 0.955, "val_loss": 0.2373599112033844, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.22413146495819092, "train_acc": 0.96, "val_loss": 0.22391170263290405, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.17068743705749512, "train_acc": 0.955, "val_loss": 0.22164124250411987, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.16238898783922195, "train_acc": 0.955, "val_loss": 0.23008251190185547, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1507953628897667, "train_acc": 0.96, "val_loss": 0.2446218878030777, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6842834949493408, "final_val_loss": 0.6371042132377625, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5590503811836243, "final_val_loss": 0.2446218878030777, "initial_val_acc": 0.58, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
49
|
{"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3911, "learning_rate": 0.03942708661657638, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-3.414516, 1.681306, 2.115446, -1.811673, 0.924477, 1.293663, -2.010734]
std: [2.235535, 1.635285, 1.609755, 1.953164, 1.334008, 1.646489, 2.774276]
pca: [[0.403137, 0.556590, -0.079565, 0.484331, 0.368651, 0.056932, 0.384235, 0.000000, 0.000000, 0.000000], [-0.159434, -0.493509, -0.281432, 0.116141, 0.013792, 0.545710, 0.583393, 0.000000, 0.000000, 0.000000], [-0.304508, -0.347592, -0.268249, 0.291260, 0.572226, -0.545541, -0.067870, 0.000000, 0.000000, 0.000000], [0.497294, -0.206195, -0.085160, -0.435270, -0.109449, -0.512336, 0.488879, 0.000000, 0.000000, 0.000000], [-0.128478, 0.007468, 0.598354, -0.430064, 0.618081, 0.170074, 0.171772, 0.000000, 0.000000, 0.000000], [-0.287865, -0.060421, 0.608312, 0.433175, -0.365994, -0.297949, 0.364792, 0.000000, 0.000000, 0.000000], [0.610461, -0.528785, 0.327390, 0.324108, 0.092243, 0.145455, -0.325313, 0.000000, 0.000000, 0.000000]]
fourier: [[33.923684, 34.326186, 40.836605, 49.096213, 307.306483], [24.375546, 25.227405, 26.432619, 39.221187, 151.317549], [23.979327, 24.355292, 25.433916, 36.211343, 190.390139], [33.977407, 34.440038, 38.775223, 39.308062, 163.050548], [19.293536, 19.701526, 20.931226, 22.871518, 83.202975], [26.266905, 27.035015, 27.055684, 28.560896, 116.429699], [43.323083, 43.657493, 47.231961, 47.289426, 180.966048]]
### 2
mean: [2.078360, -0.691620, -1.329907, 0.608964, 0.578426, 1.206744, -0.382256]
std: [1.725688, 1.019494, 0.954363, 1.228284, 1.160168, 1.245688, 0.908687]
pca: [[0.631942, 0.169113, 0.173405, 0.509004, -0.123689, 0.113773, -0.504631, 0.000000, 0.000000, 0.000000], [-0.317864, -0.253523, -0.552849, 0.590908, 0.210007, 0.365587, -0.046013, 0.000000, 0.000000, 0.000000], [-0.285349, -0.308818, 0.503080, 0.209697, 0.537932, -0.386621, -0.295463, 0.000000, 0.000000, 0.000000], [0.452592, -0.105002, 0.106722, 0.286036, 0.331255, -0.075043, 0.758662, 0.000000, 0.000000, 0.000000], [0.360578, -0.383380, -0.076536, -0.504258, 0.450474, 0.460696, -0.218406, 0.000000, 0.000000, 0.000000], [-0.032885, 0.776876, -0.211941, -0.068825, 0.581586, -0.042667, -0.075255, 0.000000, 0.000000, 0.000000], [-0.286792, 0.224091, 0.590790, 0.083309, -0.018087, 0.695869, 0.164317, 0.000000, 0.000000, 0.000000]]
fourier: [[25.913882, 26.199667, 26.615817, 38.108257, 187.052389], [16.649480, 16.757595, 17.159120, 17.220424, 62.245829], [15.443803, 16.614853, 17.728282, 20.519763, 119.691611], [18.605204, 19.083006, 19.700772, 25.486360, 54.806791], [17.622624, 17.777150, 18.151398, 18.754094, 52.058359], [20.643861, 20.650716, 22.341360, 22.570126, 108.606982], [12.641670, 14.069499, 16.298378, 17.252822, 34.403051]]
### 4
mean: [1.009659, 1.524620, 1.439892, -0.971409, 0.942631, 0.794672, -0.899134]
std: [1.732914, 2.121973, 1.795776, 0.680839, 1.344431, 1.442946, 1.462995]
pca: [[0.436438, -0.229783, 0.344907, 0.570432, -0.238619, -0.393838, -0.316735, 0.000000, 0.000000, 0.000000], [0.546163, -0.035087, -0.100932, -0.327883, -0.119632, -0.385981, 0.647677, 0.000000, 0.000000, 0.000000], [0.453487, 0.248257, -0.056721, 0.008739, 0.824826, -0.000889, -0.221553, 0.000000, 0.000000, 0.000000], [-0.017385, -0.457946, 0.640723, 0.038966, 0.295505, 0.374870, 0.387412, 0.000000, 0.000000, 0.000000], [-0.216452, 0.732726, 0.347680, 0.363511, 0.019064, -0.149432, 0.374895, 0.000000, 0.000000, 0.000000], [0.368438, 0.083801, -0.375044, 0.461372, -0.199513, 0.645648, 0.216891, 0.000000, 0.000000, 0.000000], [-0.350252, -0.361542, -0.442232, 0.469575, 0.347735, -0.340867, 0.305665, 0.000000, 0.000000, 0.000000]]
fourier: [[25.199213, 26.759436, 28.507546, 33.670896, 90.869312], [32.671623, 34.627064, 35.191135, 38.893179, 137.215782], [27.292008, 27.774944, 32.801880, 34.536465, 129.590313], [10.931446, 11.110163, 11.341214, 12.896639, 87.426813], [22.368687, 22.690076, 22.759169, 25.061721, 84.836833], [21.468914, 21.643531, 26.071086, 27.885748, 71.520466], [23.078994, 23.598542, 25.335953, 28.558233, 80.922061]]
### 6
mean: [-1.306250, 0.011391, 0.313986, -0.145735, 2.283017, 2.279505, 2.868914]
std: [2.365515, 0.668754, 0.283519, 0.369464, 3.268480, 3.002058, 4.185276]
pca: [[-0.360168, -0.197538, 0.358123, -0.422206, 0.558115, 0.234180, -0.398012, 0.000000, 0.000000, 0.000000], [0.059719, 0.764728, -0.359950, 0.146650, 0.419689, 0.209634, -0.201169, 0.000000, 0.000000, 0.000000], [0.004599, 0.379520, 0.370755, -0.379786, 0.200120, -0.213284, 0.699076, 0.000000, 0.000000, 0.000000], [-0.046250, 0.172015, 0.701007, 0.675719, 0.029182, -0.061680, -0.124934, 0.000000, 0.000000, 0.000000], [0.497837, 0.286513, 0.275843, -0.422678, -0.342225, -0.214465, -0.502206, 0.000000, 0.000000, 0.000000], [0.458124, -0.083901, 0.182583, -0.018560, -0.066671, 0.837144, 0.210112, 0.000000, 0.000000, 0.000000], [0.637835, -0.336772, -0.062357, 0.142831, 0.591528, -0.324212, 0.021052, 0.000000, 0.000000, 0.000000]]
fourier: [[35.394160, 36.303827, 36.823771, 48.100358, 117.562496], [9.678998, 10.308378, 11.164622, 11.597526, 14.404201], [4.541341, 4.724118, 4.952287, 6.753181, 28.258772], [5.874871, 5.967077, 6.337330, 6.532909, 13.116106], [49.655158, 51.188146, 53.626074, 68.666488, 205.471513], [45.765752, 46.782977, 48.324269, 62.549574, 205.155477], [62.224121, 63.168169, 68.914982, 86.480145, 258.202335]]
### 8
mean: [2.475686, -2.049016, -1.144732, -2.793343, 5.269803, -1.071449, 1.805382]
std: [3.471878, 2.542109, 1.704166, 3.071486, 6.669094, 1.046371, 2.463500]
pca: [[0.382769, 0.050281, 0.483498, 0.409430, 0.579505, 0.319812, 0.107008, 0.000000, 0.000000, 0.000000], [-0.277061, 0.754955, -0.278961, -0.182028, 0.239105, 0.430104, 0.012894, 0.000000, 0.000000, 0.000000], [-0.187372, -0.150883, -0.450023, 0.748208, -0.214666, 0.281250, 0.233682, 0.000000, 0.000000, 0.000000], [-0.338123, 0.331298, 0.428094, 0.142416, -0.164619, -0.388707, 0.627834, 0.000000, 0.000000, 0.000000], [0.735233, 0.452612, -0.279733, 0.142305, -0.228070, -0.317045, 0.059496, 0.000000, 0.000000, 0.000000], [-0.113704, 0.283454, 0.431891, 0.302361, -0.474227, 0.119642, -0.624154, 0.000000, 0.000000, 0.000000], [0.271649, -0.098932, 0.194539, -0.327816, -0.506867, 0.606386, 0.382742, 0.000000, 0.000000, 0.000000]]
fourier: [[54.693332, 55.276736, 56.205195, 73.545400, 222.811780], [37.598619, 38.607899, 44.363410, 54.363726, 184.411411], [26.681223, 26.757131, 27.665866, 36.285890, 103.025903], [48.460072, 49.959119, 51.398966, 66.318316, 251.400878], [106.000120, 110.161928, 110.319658, 142.325030, 474.282284], [15.988977, 17.067590, 18.149575, 22.726036, 96.430422], [38.979272, 39.176679, 40.381612, 53.050484, 162.484433]]
### 10
mean: [-4.069596]
std: [5.519678]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.044831, 90.136842, 90.325796, 117.831207, 366.263664]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-3.414516, 1.681306, 2.115446, -1.811673, 0.924477, 1.293663, -2.010734]
std: [2.235535, 1.635285, 1.609755, 1.953164, 1.334008, 1.646489, 2.774276]
pca: [[0.403137, 0.556590, -0.079565, 0.484331, 0.368651, 0.056932, 0.384235, 0.000000, 0.000000, 0.000000], [-0.159434, -0.493509, -0.281432, 0.116141, 0.013792, 0.545710, 0.583393, 0.000000, 0.000000, 0.000000], [-0.304508, -0.347592, -0.268249, 0.291260, 0.572226, -0.545541, -0.067870, 0.000000, 0.000000, 0.000000], [0.497294, -0.206195, -0.085160, -0.435270, -0.109449, -0.512336, 0.488879, 0.000000, 0.000000, 0.000000], [-0.128478, 0.007468, 0.598354, -0.430064, 0.618081, 0.170074, 0.171772, 0.000000, 0.000000, 0.000000], [-0.287865, -0.060421, 0.608312, 0.433175, -0.365994, -0.297949, 0.364792, 0.000000, 0.000000, 0.000000], [0.610461, -0.528785, 0.327390, 0.324108, 0.092243, 0.145455, -0.325313, 0.000000, 0.000000, 0.000000]]
fourier: [[33.923684, 34.326186, 40.836605, 49.096213, 307.306483], [24.375546, 25.227405, 26.432619, 39.221187, 151.317549], [23.979327, 24.355292, 25.433916, 36.211343, 190.390139], [33.977407, 34.440038, 38.775223, 39.308062, 163.050548], [19.293536, 19.701526, 20.931226, 22.871518, 83.202975], [26.266905, 27.035015, 27.055684, 28.560896, 116.429699], [43.323083, 43.657493, 47.231961, 47.289426, 180.966048]]
### 2
mean: [2.078360, -0.691620, -1.329907, 0.608964, 0.578426, 1.206744, -0.382256]
std: [1.725688, 1.019494, 0.954363, 1.228284, 1.160168, 1.245688, 0.908687]
pca: [[0.631942, 0.169113, 0.173405, 0.509004, -0.123689, 0.113773, -0.504631, 0.000000, 0.000000, 0.000000], [-0.317864, -0.253523, -0.552849, 0.590908, 0.210007, 0.365587, -0.046013, 0.000000, 0.000000, 0.000000], [-0.285349, -0.308818, 0.503080, 0.209697, 0.537932, -0.386621, -0.295463, 0.000000, 0.000000, 0.000000], [0.452592, -0.105002, 0.106722, 0.286036, 0.331255, -0.075043, 0.758662, 0.000000, 0.000000, 0.000000], [0.360578, -0.383380, -0.076536, -0.504258, 0.450474, 0.460696, -0.218406, 0.000000, 0.000000, 0.000000], [-0.032885, 0.776876, -0.211941, -0.068825, 0.581586, -0.042667, -0.075255, 0.000000, 0.000000, 0.000000], [-0.286792, 0.224091, 0.590790, 0.083309, -0.018087, 0.695869, 0.164317, 0.000000, 0.000000, 0.000000]]
fourier: [[25.913882, 26.199667, 26.615817, 38.108257, 187.052389], [16.649480, 16.757595, 17.159120, 17.220424, 62.245829], [15.443803, 16.614853, 17.728282, 20.519763, 119.691611], [18.605204, 19.083006, 19.700772, 25.486360, 54.806791], [17.622624, 17.777150, 18.151398, 18.754094, 52.058359], [20.643861, 20.650716, 22.341360, 22.570126, 108.606982], [12.641670, 14.069499, 16.298378, 17.252822, 34.403051]]
### 4
mean: [1.009659, 1.524620, 1.439892, -0.971409, 0.942631, 0.794672, -0.899134]
std: [1.732914, 2.121973, 1.795776, 0.680839, 1.344431, 1.442946, 1.462995]
pca: [[0.436438, -0.229783, 0.344907, 0.570432, -0.238619, -0.393838, -0.316735, 0.000000, 0.000000, 0.000000], [0.546163, -0.035087, -0.100932, -0.327883, -0.119632, -0.385981, 0.647677, 0.000000, 0.000000, 0.000000], [0.453487, 0.248257, -0.056721, 0.008739, 0.824826, -0.000889, -0.221553, 0.000000, 0.000000, 0.000000], [-0.017385, -0.457946, 0.640723, 0.038966, 0.295505, 0.374870, 0.387412, 0.000000, 0.000000, 0.000000], [-0.216452, 0.732726, 0.347680, 0.363511, 0.019064, -0.149432, 0.374895, 0.000000, 0.000000, 0.000000], [0.368438, 0.083801, -0.375044, 0.461372, -0.199513, 0.645648, 0.216891, 0.000000, 0.000000, 0.000000], [-0.350252, -0.361542, -0.442232, 0.469575, 0.347735, -0.340867, 0.305665, 0.000000, 0.000000, 0.000000]]
fourier: [[25.199213, 26.759436, 28.507546, 33.670896, 90.869312], [32.671623, 34.627064, 35.191135, 38.893179, 137.215782], [27.292008, 27.774944, 32.801880, 34.536465, 129.590313], [10.931446, 11.110163, 11.341214, 12.896639, 87.426813], [22.368687, 22.690076, 22.759169, 25.061721, 84.836833], [21.468914, 21.643531, 26.071086, 27.885748, 71.520466], [23.078994, 23.598542, 25.335953, 28.558233, 80.922061]]
### 6
mean: [-1.306250, 0.011391, 0.313986, -0.145735, 2.283017, 2.279505, 2.868914]
std: [2.365515, 0.668754, 0.283519, 0.369464, 3.268480, 3.002058, 4.185276]
pca: [[-0.360168, -0.197538, 0.358123, -0.422206, 0.558115, 0.234180, -0.398012, 0.000000, 0.000000, 0.000000], [0.059719, 0.764728, -0.359950, 0.146650, 0.419689, 0.209634, -0.201169, 0.000000, 0.000000, 0.000000], [0.004599, 0.379520, 0.370755, -0.379786, 0.200120, -0.213284, 0.699076, 0.000000, 0.000000, 0.000000], [-0.046250, 0.172015, 0.701007, 0.675719, 0.029182, -0.061680, -0.124934, 0.000000, 0.000000, 0.000000], [0.497837, 0.286513, 0.275843, -0.422678, -0.342225, -0.214465, -0.502206, 0.000000, 0.000000, 0.000000], [0.458124, -0.083901, 0.182583, -0.018560, -0.066671, 0.837144, 0.210112, 0.000000, 0.000000, 0.000000], [0.637835, -0.336772, -0.062357, 0.142831, 0.591528, -0.324212, 0.021052, 0.000000, 0.000000, 0.000000]]
fourier: [[35.394160, 36.303827, 36.823771, 48.100358, 117.562496], [9.678998, 10.308378, 11.164622, 11.597526, 14.404201], [4.541341, 4.724118, 4.952287, 6.753181, 28.258772], [5.874871, 5.967077, 6.337330, 6.532909, 13.116106], [49.655158, 51.188146, 53.626074, 68.666488, 205.471513], [45.765752, 46.782977, 48.324269, 62.549574, 205.155477], [62.224121, 63.168169, 68.914982, 86.480145, 258.202335]]
### 8
mean: [2.475686, -2.049016, -1.144732, -2.793343, 5.269803, -1.071449, 1.805382]
std: [3.471878, 2.542109, 1.704166, 3.071486, 6.669094, 1.046371, 2.463500]
pca: [[0.382769, 0.050281, 0.483498, 0.409430, 0.579505, 0.319812, 0.107008, 0.000000, 0.000000, 0.000000], [-0.277061, 0.754955, -0.278961, -0.182028, 0.239105, 0.430104, 0.012894, 0.000000, 0.000000, 0.000000], [-0.187372, -0.150883, -0.450023, 0.748208, -0.214666, 0.281250, 0.233682, 0.000000, 0.000000, 0.000000], [-0.338123, 0.331298, 0.428094, 0.142416, -0.164619, -0.388707, 0.627834, 0.000000, 0.000000, 0.000000], [0.735233, 0.452612, -0.279733, 0.142305, -0.228070, -0.317045, 0.059496, 0.000000, 0.000000, 0.000000], [-0.113704, 0.283454, 0.431891, 0.302361, -0.474227, 0.119642, -0.624154, 0.000000, 0.000000, 0.000000], [0.271649, -0.098932, 0.194539, -0.327816, -0.506867, 0.606386, 0.382742, 0.000000, 0.000000, 0.000000]]
fourier: [[54.693332, 55.276736, 56.205195, 73.545400, 222.811780], [37.598619, 38.607899, 44.363410, 54.363726, 184.411411], [26.681223, 26.757131, 27.665866, 36.285890, 103.025903], [48.460072, 49.959119, 51.398966, 66.318316, 251.400878], [106.000120, 110.161928, 110.319658, 142.325030, 474.282284], [15.988977, 17.067590, 18.149575, 22.726036, 96.430422], [38.979272, 39.176679, 40.381612, 53.050484, 162.484433]]
### 10
mean: [-4.069596]
std: [5.519678]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.044831, 90.136842, 90.325796, 117.831207, 366.263664]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.205323, -0.575072, -0.567123, 0.128717, -0.531981], [-0.058193, 0.171545, 0.73634, -0.275985, 0.188119], [-0.083819, 0.431096, 0.688589, -0.159944, -0.02833], [-0.101603, -0.728516, -0.092041, -0.342388, 0.487218], [0.423668, 0.321417, -0.470557, 0.03056, 0.276776], [0.658618, 0.384966, -0.159455, 0.052461, -0.210812], [0.480186, -0.954959, -0.05859, -0.749097, 0.356869]], "network.0.bias": [-0.546354, 0.262821, 0.373746, -0.032121, 0.387605, 0.253142, 0.420494], "network.2.weight": [[0.044256, 0.626893, 0.452701, -0.285827, -0.223583, 0.168918, -0.399185], [0.23132, 0.050775, -0.463367, 0.375511, 0.636933, -0.493608, -0.161193], [-0.260472, -0.041958, -0.46877, -0.152503, -0.042859, -0.093064, -0.370737], [-0.230482, 0.475863, 0.303854, -0.156482, -0.230429, -0.056639, -0.403377], [0.156007, 0.119165, 0.482434, -0.007188, -0.430125, -0.290844, -0.115564], [0.020633, -0.032473, -0.053233, -0.069967, 0.15967, 0.638942, 0.612375], [-0.004529, -0.189723, -0.368239, -0.366463, -0.019821, 0.380576, 0.05177]], "network.2.bias": [0.18927, 0.183183, 0.03735, -0.398982, 0.250255, 0.159757, 0.257573], "network.4.weight": [[0.08982, 0.102761, -0.109109, 0.621263, 0.821217, -0.478529, 0.131019], [0.443081, 0.099344, -0.241574, 0.711032, 0.495934, -0.526355, -0.381871], [0.590654, 0.045145, -0.06038, 0.375517, 0.46376, -0.226841, -0.064226], [-0.24541, -0.216023, 0.048785, -0.237383, 0.363465, -0.349075, 0.071439], [0.170041, -0.602406, 0.043926, -0.212096, -0.489553, 0.723462, 0.524901], [0.260919, 0.444016, 0.212181, 0.621218, 0.442014, -0.180117, 0.04176], [-0.499788, 0.626387, 0.221237, -0.470892, -0.038019, 0.13752, 0.13543]], "network.4.bias": [0.221278, 0.327482, -0.179686, -0.099706, 0.23996, -0.452667, 0.288604], "network.6.weight": [[-0.277314, -0.352933, -0.295415, -0.243121, 0.416416, -0.383671, -0.108419], [0.09808, 0.298463, -0.599428, 0.125256, -0.349845, 0.367643, 0.381127], [0.1508, 0.129445, -0.15752, 0.16047, -0.065228, -0.121829, 0.689347], [-0.347385, 0.05347, 0.003441, -0.257887, -0.056651, 0.128633, 0.591306], [0.652872, 0.540424, 0.500797, -0.082352, -0.396784, 0.159018, 0.873728], [0.386178, 0.419456, 0.534427, 0.333304, -0.281032, 0.427937, 0.310186], [0.34638, 0.896936, 0.551045, 0.362332, -0.301688, 0.599433, -0.045154]], "network.6.bias": [-0.005942, 0.261766, 0.225358, -0.001332, -0.021996, 0.152528, -0.110342], "network.8.weight": [[-0.429092, 0.277769, 0.000114, 0.499068, 0.158175, 0.141033, 0.606983], [-0.100509, 0.65022, 0.046288, 0.22754, 0.232965, -0.421414, -0.54231], [0.332863, 0.328335, -0.300667, -0.372717, -0.103833, -0.472569, -0.002635], [-0.281864, 0.247729, -0.028922, 0.110738, -0.377511, -0.320402, -0.264559], [-0.209561, 0.791041, 0.690651, 0.239184, 0.787644, 0.493881, 0.628962], [-0.298865, 0.37207, 0.122664, 0.144886, -0.315866, -0.088862, 0.017005], [-0.094393, -0.221137, 0.319667, 0.123781, 0.0325, 0.409427, 0.297938]], "network.8.bias": [-0.117332, -0.141577, 0.186255, -0.29469, -0.17116, -0.219641, -0.188795], "network.10.weight": [[-0.253356, -0.032582, 0.473189, -0.366201, -0.555756, 0.202367, -0.390728]], "network.10.bias": [0.224178]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851120293140411, "train_acc": 0.58, "val_loss": 0.7199480533599854, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6715547442436218, "train_acc": 0.58, "val_loss": 0.7083356976509094, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6398463249206543, "train_acc": 0.58, "val_loss": 0.6696683764457703, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.620282918214798, "train_acc": 0.51, "val_loss": 0.643837571144104, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5830737054347992, "train_acc": 0.51, "val_loss": 0.5131674408912659, "val_acc": 0.54}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5339172780513763, "train_acc": 0.62, "val_loss": 0.4480815827846527, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4326296001672745, "train_acc": 0.85, "val_loss": 0.42158859968185425, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.39082056283950806, "train_acc": 0.91, "val_loss": 0.3697686791419983, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3399233818054199, "train_acc": 0.915, "val_loss": 0.3600335717201233, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.30757588148117065, "train_acc": 0.91, "val_loss": 0.35858288407325745, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.28041668236255646, "train_acc": 0.92, "val_loss": 0.339765727519989, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.21011332422494888, "train_acc": 0.94, "val_loss": 0.3350400924682617, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.20487139374017715, "train_acc": 0.95, "val_loss": 0.3535579442977905, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7199480533599854, "final_val_loss": 0.6696683764457703, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.643837571144104, "final_val_loss": 0.3535579442977905, "initial_val_acc": 0.46, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 7}, "improvement": 0.46, "first_improvement_epoch": 2}}
|
50
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.38, "improved_accuracy": 0.96, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8776, "learning_rate": 0.0354662552402799, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.084174,
-0.109326
],
[
0.010711,
-0.239518,
0.009448,
-0.616141,
-0.325211
]
],
"network.8.bias": [
-0.298632,
0.575353,
0.407968,
-0.167737,
0.35486
],
"network.10.weight": [
[
-0.376586,
0.816971,
-0.278644,
0.144397,
0.376912
],
[
0.37994,
0.342137,
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0.155035,
0.439901
],
[
0.043634,
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0.654346,
-0.035033,
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],
[
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0.169242,
0.288146,
0.096192
],
[
0.359315,
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0.025822
]
],
"network.10.bias": [
0.40763,
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-0.303681,
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],
"network.12.weight": [
[
-0.735025,
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0.617433,
-0.198843,
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]
],
"network.12.bias": [
-0.052818
]
}
## Activation Signature
### 0
mean: [0.723049, 1.488203, 0.783084, 0.273125, -0.226889]
std: [1.491689, 1.419460, 1.521262, 1.280391, 0.880762]
pca: [[0.523112, 0.535797, -0.080080, -0.133311, -0.644276, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415265, 0.716722, 0.351671, 0.416605, 0.128963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.521187, -0.117036, 0.811966, -0.036516, 0.232474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.448269, 0.341651, -0.438355, 0.012390, 0.700015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.285181, -0.262311, -0.135907, 0.898433, -0.155604, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.836222, 22.265711, 26.348761, 27.755335, 65.074443], [22.228212, 26.900690, 27.889615, 28.290053, 133.938302], [25.055761, 25.822771, 26.212985, 27.936862, 70.477562], [20.541726, 20.677984, 21.128084, 24.131009, 24.581281], [14.212604, 14.754615, 16.654627, 17.532075, 20.420009]]
### 2
mean: [0.525503, -1.295644, 0.261602, 0.066588, 0.923432]
std: [0.403571, 0.532453, 0.838166, 1.134647, 2.279838]
pca: [[0.136658, -0.255300, -0.005017, 0.151894, 0.945013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142826, 0.048333, 0.972413, 0.177685, 0.010315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206388, 0.934087, -0.083813, 0.022554, 0.278124, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425643, -0.102500, -0.214633, 0.866545, -0.106560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.858579, 0.222400, 0.036009, 0.440395, -0.134670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.235732, 6.588797, 6.835126, 8.054395, 47.295229], [8.956128, 9.138000, 9.196228, 11.000666, 116.607937], [12.932791, 13.572777, 16.233166, 16.317929, 23.544147], [17.318453, 18.341216, 18.410363, 18.499016, 23.650048], [37.017672, 37.059347, 38.918448, 45.802337, 83.108873]]
### 4
mean: [-0.679995, -0.086373, 0.133727, 0.908993, -0.164518]
std: [0.173000, 0.945708, 1.142935, 1.174375, 0.884514]
pca: [[-0.025288, 0.200448, -0.506465, 0.315365, 0.776672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466268, -0.325138, 0.312329, -0.570367, 0.503996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.576756, 0.191221, 0.488330, 0.626342, -0.004016, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576895, 0.413048, 0.612911, -0.070554, 0.340507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341319, 0.804321, -0.178376, -0.421834, -0.163730, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.817790, 2.916893, 3.295954, 3.813584, 61.199534], [13.459422, 16.122675, 16.153001, 16.673493, 16.704918], [17.127647, 19.151141, 19.401135, 20.287358, 22.391371], [19.643806, 19.966766, 20.255036, 21.429557, 81.809408], [13.597955, 14.518560, 14.806621, 16.355190, 16.413869]]
### 6
mean: [0.192614, 0.129100, 0.786103, 0.206959, 0.047862]
std: [0.525964, 0.566959, 0.806391, 0.438602, 0.536431]
pca: [[-0.396842, 0.329376, 0.764086, -0.373077, -0.104951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436027, 0.198739, 0.121109, 0.866022, 0.075640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.614455, 0.682047, 0.125432, 0.103723, 0.361614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.322904, 0.621950, -0.580130, -0.192027, -0.368085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413007, 0.002159, -0.221860, -0.251369, 0.846766, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.332909, 8.360780, 8.953881, 9.931436, 17.335273], [9.413132, 9.735174, 10.165186, 10.466592, 11.618960], [11.847002, 13.723334, 13.725586, 15.754714, 70.749302], [7.796032, 7.912473, 8.086492, 8.313550, 18.626292], [7.569205, 8.490862, 9.531578, 9.678992, 10.227866]]
### 8
mean: [-0.128053, 0.657534, 0.663589, -0.572375, 0.025340]
std: [0.384593, 1.027194, 0.988405, 0.258759, 0.381019]
pca: [[-0.249186, -0.218930, -0.223676, 0.777682, 0.484928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668744, -0.339055, 0.101840, 0.446136, -0.477928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.644212, -0.234879, 0.536207, 0.169787, -0.462036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136485, 0.727291, -0.349975, 0.346171, -0.458370, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.238854, 0.502982, 0.727734, 0.217970, 0.335930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.207274, 6.609185, 7.111903, 7.361596, 11.524733], [17.922262, 18.064196, 18.338511, 19.409562, 59.178037], [16.569565, 17.179927, 18.081499, 18.975244, 59.723023], [4.034786, 4.228893, 4.287307, 5.049162, 51.513745], [6.129721, 6.243960, 6.266716, 7.136295, 7.188575]]
### 10
mean: [0.901115, 0.200581, 0.669343, -0.324569, -0.439428]
std: [0.990944, 0.305537, 0.838306, 0.234629, 0.224528]
pca: [[0.726209, 0.283920, -0.260165, 0.264586, 0.504300, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.212417, 0.603989, 0.707488, 0.031650, -0.297549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.610519, 0.654202, -0.210563, 0.017074, 0.393267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172004, -0.052798, -0.049748, 0.950835, -0.247113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158686, -0.351879, 0.620455, 0.156888, 0.664396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.951336, 17.545614, 18.557079, 19.329872, 81.100352], [4.820720, 4.926861, 5.913245, 6.554383, 18.052330], [14.095679, 14.257386, 15.573572, 16.471412, 60.240826], [4.005247, 4.190433, 4.388675, 4.614799, 29.211252], [3.464596, 3.819937, 4.040881, 4.457415, 39.548556]]
### 12
mean: [-0.352298]
std: [1.139661]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.154017, 20.773558, 20.924127, 22.716334, 31.706791]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.167772,
-0.211337,
-0.10004,
0.265581,
0.691118
],
[
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0.143101,
0.082402,
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],
[
-0.554343,
0.180378,
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-0.189457,
0.723608
],
[
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-0.231478,
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0.517108
],
[
-0.326116,
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]
],
"network.0.bias": [
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0.146158,
0.043354
],
"network.2.weight": [
[
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],
[
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],
[
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0.376096,
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0.208194,
-0.138769
],
[
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0.061928
],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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0.429383,
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],
[
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0.365399,
0.614927
],
[
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]
],
"network.4.bias": [
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0.462663,
0.549101,
-0.269445,
-0.318813
],
"network.6.weight": [
[
0.255518,
0.320831,
0.608626,
-0.244309,
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],
[
-0.233847,
0.543817,
0.326358,
-0.286401,
-0.403022
],
[
-0.226222,
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0.569505,
0.424041
],
[
0.100214,
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0.435697,
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],
[
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0.221659,
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-0.432232
]
],
"network.6.bias": [
0.119552,
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0.286093,
0.08061,
0.193491
],
"network.8.weight": [
[
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0.395145,
0.156006
],
[
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0.709397,
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],
[
0.791638,
0.632748,
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0.307506,
0.303546
],
[
0.004511,
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-0.405023,
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-0.109326
],
[
0.010711,
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0.009448,
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]
],
"network.8.bias": [
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0.407968,
-0.167737,
0.35486
],
"network.10.weight": [
[
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0.816971,
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0.144397,
0.376912
],
[
0.37994,
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],
[
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0.654346,
-0.035033,
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],
[
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-0.178406,
0.169242,
0.288146,
0.096192
],
[
0.359315,
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0.025822
]
],
"network.10.bias": [
0.40763,
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0.463689,
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],
"network.12.weight": [
[
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-0.062244
]
],
"network.12.bias": [
-0.052818
]
}
## Activation Signature
### 0
mean: [0.723049, 1.488203, 0.783084, 0.273125, -0.226889]
std: [1.491689, 1.419460, 1.521262, 1.280391, 0.880762]
pca: [[0.523112, 0.535797, -0.080080, -0.133311, -0.644276, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415265, 0.716722, 0.351671, 0.416605, 0.128963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.521187, -0.117036, 0.811966, -0.036516, 0.232474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.448269, 0.341651, -0.438355, 0.012390, 0.700015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.285181, -0.262311, -0.135907, 0.898433, -0.155604, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.836222, 22.265711, 26.348761, 27.755335, 65.074443], [22.228212, 26.900690, 27.889615, 28.290053, 133.938302], [25.055761, 25.822771, 26.212985, 27.936862, 70.477562], [20.541726, 20.677984, 21.128084, 24.131009, 24.581281], [14.212604, 14.754615, 16.654627, 17.532075, 20.420009]]
### 2
mean: [0.525503, -1.295644, 0.261602, 0.066588, 0.923432]
std: [0.403571, 0.532453, 0.838166, 1.134647, 2.279838]
pca: [[0.136658, -0.255300, -0.005017, 0.151894, 0.945013, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142826, 0.048333, 0.972413, 0.177685, 0.010315, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206388, 0.934087, -0.083813, 0.022554, 0.278124, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.425643, -0.102500, -0.214633, 0.866545, -0.106560, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.858579, 0.222400, 0.036009, 0.440395, -0.134670, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.235732, 6.588797, 6.835126, 8.054395, 47.295229], [8.956128, 9.138000, 9.196228, 11.000666, 116.607937], [12.932791, 13.572777, 16.233166, 16.317929, 23.544147], [17.318453, 18.341216, 18.410363, 18.499016, 23.650048], [37.017672, 37.059347, 38.918448, 45.802337, 83.108873]]
### 4
mean: [-0.679995, -0.086373, 0.133727, 0.908993, -0.164518]
std: [0.173000, 0.945708, 1.142935, 1.174375, 0.884514]
pca: [[-0.025288, 0.200448, -0.506465, 0.315365, 0.776672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466268, -0.325138, 0.312329, -0.570367, 0.503996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.576756, 0.191221, 0.488330, 0.626342, -0.004016, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576895, 0.413048, 0.612911, -0.070554, 0.340507, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341319, 0.804321, -0.178376, -0.421834, -0.163730, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.817790, 2.916893, 3.295954, 3.813584, 61.199534], [13.459422, 16.122675, 16.153001, 16.673493, 16.704918], [17.127647, 19.151141, 19.401135, 20.287358, 22.391371], [19.643806, 19.966766, 20.255036, 21.429557, 81.809408], [13.597955, 14.518560, 14.806621, 16.355190, 16.413869]]
### 6
mean: [0.192614, 0.129100, 0.786103, 0.206959, 0.047862]
std: [0.525964, 0.566959, 0.806391, 0.438602, 0.536431]
pca: [[-0.396842, 0.329376, 0.764086, -0.373077, -0.104951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436027, 0.198739, 0.121109, 0.866022, 0.075640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.614455, 0.682047, 0.125432, 0.103723, 0.361614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.322904, 0.621950, -0.580130, -0.192027, -0.368085, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.413007, 0.002159, -0.221860, -0.251369, 0.846766, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.332909, 8.360780, 8.953881, 9.931436, 17.335273], [9.413132, 9.735174, 10.165186, 10.466592, 11.618960], [11.847002, 13.723334, 13.725586, 15.754714, 70.749302], [7.796032, 7.912473, 8.086492, 8.313550, 18.626292], [7.569205, 8.490862, 9.531578, 9.678992, 10.227866]]
### 8
mean: [-0.128053, 0.657534, 0.663589, -0.572375, 0.025340]
std: [0.384593, 1.027194, 0.988405, 0.258759, 0.381019]
pca: [[-0.249186, -0.218930, -0.223676, 0.777682, 0.484928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668744, -0.339055, 0.101840, 0.446136, -0.477928, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.644212, -0.234879, 0.536207, 0.169787, -0.462036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136485, 0.727291, -0.349975, 0.346171, -0.458370, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.238854, 0.502982, 0.727734, 0.217970, 0.335930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.207274, 6.609185, 7.111903, 7.361596, 11.524733], [17.922262, 18.064196, 18.338511, 19.409562, 59.178037], [16.569565, 17.179927, 18.081499, 18.975244, 59.723023], [4.034786, 4.228893, 4.287307, 5.049162, 51.513745], [6.129721, 6.243960, 6.266716, 7.136295, 7.188575]]
### 10
mean: [0.901115, 0.200581, 0.669343, -0.324569, -0.439428]
std: [0.990944, 0.305537, 0.838306, 0.234629, 0.224528]
pca: [[0.726209, 0.283920, -0.260165, 0.264586, 0.504300, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.212417, 0.603989, 0.707488, 0.031650, -0.297549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.610519, 0.654202, -0.210563, 0.017074, 0.393267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172004, -0.052798, -0.049748, 0.950835, -0.247113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158686, -0.351879, 0.620455, 0.156888, 0.664396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.951336, 17.545614, 18.557079, 19.329872, 81.100352], [4.820720, 4.926861, 5.913245, 6.554383, 18.052330], [14.095679, 14.257386, 15.573572, 16.471412, 60.240826], [4.005247, 4.190433, 4.388675, 4.614799, 29.211252], [3.464596, 3.819937, 4.040881, 4.457415, 39.548556]]
### 12
mean: [-0.352298]
std: [1.139661]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.154017, 20.773558, 20.924127, 22.716334, 31.706791]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802124381065369, "train_acc": 0.605, "val_loss": 0.7295581698417664, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.666690319776535, "train_acc": 0.605, "val_loss": 0.7070908546447754, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6462147533893585, "train_acc": 0.605, "val_loss": 0.66290283203125, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6395739316940308, "train_acc": 0.53, "val_loss": 0.6790821552276611, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5857279002666473, "train_acc": 0.68, "val_loss": 0.5346384644508362, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5279910862445831, "train_acc": 0.85, "val_loss": 0.4520301818847656, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4429483860731125, "train_acc": 0.865, "val_loss": 0.3123020529747009, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3121425658464432, "train_acc": 0.9, "val_loss": 0.5413190722465515, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.30435100197792053, "train_acc": 0.88, "val_loss": 0.24056529998779297, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.23418226838111877, "train_acc": 0.915, "val_loss": 0.2589087188243866, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.21881111711263657, "train_acc": 0.91, "val_loss": 0.40832024812698364, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.18828709423542023, "train_acc": 0.935, "val_loss": 0.2259560078382492, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.11824102327227592, "train_acc": 0.955, "val_loss": 0.2572425901889801, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7295581698417664, "final_val_loss": 0.66290283203125, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6790821552276611, "final_val_loss": 0.2572425901889801, "initial_val_acc": 0.38, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.58, "first_improvement_epoch": 2}}
|
51
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5360, "learning_rate": 0.0885264373224075, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.4.weight": [
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[
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[
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[
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[
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[
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"network.10.weight": [
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[
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[
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"network.12.weight": [
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],
"network.12.bias": [
1.180755
]
}
## Activation Signature
### 0
mean: [4.112683, 5.211810, 1.887137, 3.676298, -1.890359]
std: [4.645012, 5.310209, 3.705171, 4.753062, 1.425291]
pca: [[0.509316, -0.147665, 0.002805, 0.794788, -0.295122, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576724, -0.421719, 0.004233, -0.198859, 0.670805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.367601, 0.746884, -0.533301, -0.041207, 0.144653, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517393, 0.149912, 0.469149, -0.490647, -0.498995, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071832, 0.469082, 0.703891, 0.293829, 0.439322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.980684, 79.775015, 85.263765, 85.537346, 370.141425], [86.320942, 95.096863, 95.711607, 102.833637, 469.062853], [58.001067, 58.436184, 58.813670, 64.389267, 169.842328], [80.582945, 86.218538, 87.520283, 89.933116, 330.866793], [22.853343, 23.242294, 24.470766, 24.984853, 170.132283]]
### 2
mean: [-5.334382, -1.245771, 9.504863, -2.860197, -5.244962]
std: [6.210743, 0.893505, 11.625257, 3.210013, 5.354795]
pca: [[-0.424927, 0.651552, 0.150735, -0.372531, 0.483132, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057955, -0.628938, -0.312943, -0.457286, 0.542249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.796110, 0.089552, 0.443733, -0.056190, 0.397659, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219759, -0.098893, 0.023063, 0.799662, 0.549486, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366050, -0.402637, 0.825781, -0.097435, -0.111723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[105.571643, 107.208675, 108.997358, 109.976435, 480.094370], [14.242208, 15.242816, 16.100878, 16.122827, 112.119361], [192.418237, 198.484354, 201.076151, 202.386908, 855.437556], [52.422073, 54.719339, 55.852399, 55.923052, 257.417666], [89.352930, 92.590402, 92.696862, 94.538523, 472.046548]]
### 4
mean: [-0.972255, 6.642378, -4.911438, -0.607670, 6.208989]
std: [0.920683, 8.465356, 5.806570, 0.387334, 7.786462]
pca: [[-0.071243, 0.113408, -0.148770, -0.083743, 0.976175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655059, -0.651787, 0.337352, 0.028343, 0.177374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449319, 0.032659, 0.887162, -0.026653, 0.096331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029972, 0.037281, 0.004715, 0.995666, 0.079615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602525, 0.748235, 0.277458, -0.011063, -0.001617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.462225, 15.470641, 15.753661, 16.117773, 87.502996], [142.156355, 142.251268, 144.839003, 148.188924, 597.814079], [97.507558, 97.570320, 99.349259, 101.640784, 442.029495], [6.501261, 6.515743, 6.621747, 6.788065, 54.690290], [130.760235, 130.835688, 133.229778, 136.297604, 558.809014]]
### 6
mean: [6.655891, -4.870494, -1.812591, 6.461768, -4.218500]
std: [8.438114, 5.628015, 1.816396, 8.960582, 5.080978]
pca: [[0.579144, 0.170583, 0.793210, 0.079227, 0.005908, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386275, 0.739510, 0.175130, -0.522649, 0.009227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124667, 0.499059, -0.089501, 0.761499, -0.384068, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.615004, 0.417692, -0.538121, -0.036862, 0.395437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348730, 0.022379, 0.206308, 0.373259, 0.834267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.351446, 142.662587, 143.279930, 149.016159, 599.030212], [93.637763, 95.066407, 95.636493, 99.454477, 438.344476], [30.237390, 30.628292, 30.910777, 32.138045, 163.133179], [149.035705, 151.514991, 152.135412, 158.228569, 581.559134], [84.522410, 85.870669, 86.303283, 89.754280, 379.664985]]
### 8
mean: [-6.207657, -2.587202, 5.076128, 6.140697, 3.752843]
std: [7.843345, 2.840847, 7.450896, 8.906336, 5.427135]
pca: [[-0.512859, 0.674292, 0.277932, -0.048960, -0.450181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185744, 0.423315, -0.169422, -0.381153, 0.782510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.487209, 0.363395, -0.632777, -0.307900, -0.367916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582384, 0.143199, 0.701968, -0.383254, 0.026079, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.354868, 0.462140, 0.029729, 0.781434, 0.221297, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[130.957224, 131.713961, 134.045266, 138.989600, 558.689094], [47.294320, 47.873955, 48.359695, 50.290995, 232.848170], [124.165150, 125.168037, 128.402663, 132.305445, 456.851553], [148.703231, 149.396030, 153.173743, 158.072655, 552.662685], [90.252761, 91.315586, 93.730061, 96.419081, 337.755872]]
### 10
mean: [-2.267204, -1.687673, 7.401252, -2.787835, 8.234999]
std: [2.964383, 1.904955, 10.883339, 3.457023, 12.149040]
pca: [[-0.173951, 0.210365, -0.187680, -0.416669, 0.846553, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111783, 0.314175, -0.518111, 0.770507, 0.163335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638636, 0.613713, 0.433420, 0.106846, 0.127400, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202858, -0.403046, 0.628752, 0.467030, 0.427735, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.712908, -0.563871, -0.336387, 0.056325, 0.239755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.923454, 50.405305, 51.909911, 52.636420, 204.048327], [31.460221, 32.368205, 33.328384, 33.829090, 151.890546], [179.541291, 185.118798, 190.680641, 193.229471, 666.112656], [56.992354, 58.835715, 60.619380, 61.369292, 250.905131], [200.429384, 206.636858, 212.844910, 215.702687, 741.149900]]
### 12
mean: [-6.933218]
std: [11.604170]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[190.509045, 198.068101, 204.736747, 205.754189, 623.989545]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.833382,
0.499046,
0.544274,
0.403053,
-0.106643
],
[
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0.733982,
0.528965,
0.104906
],
[
1.295954,
1.102568,
-0.123882,
-0.272832,
-0.330851
],
[
2.132065,
0.32574,
0.299217,
0.211189,
-0.161641
],
[
0.153987,
-0.397447,
-0.385392,
-0.199481,
-0.30293
]
],
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## Activation Signature
### 0
mean: [4.112683, 5.211810, 1.887137, 3.676298, -1.890359]
std: [4.645012, 5.310209, 3.705171, 4.753062, 1.425291]
pca: [[0.509316, -0.147665, 0.002805, 0.794788, -0.295122, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576724, -0.421719, 0.004233, -0.198859, 0.670805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.367601, 0.746884, -0.533301, -0.041207, 0.144653, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.517393, 0.149912, 0.469149, -0.490647, -0.498995, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071832, 0.469082, 0.703891, 0.293829, 0.439322, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.980684, 79.775015, 85.263765, 85.537346, 370.141425], [86.320942, 95.096863, 95.711607, 102.833637, 469.062853], [58.001067, 58.436184, 58.813670, 64.389267, 169.842328], [80.582945, 86.218538, 87.520283, 89.933116, 330.866793], [22.853343, 23.242294, 24.470766, 24.984853, 170.132283]]
### 2
mean: [-5.334382, -1.245771, 9.504863, -2.860197, -5.244962]
std: [6.210743, 0.893505, 11.625257, 3.210013, 5.354795]
pca: [[-0.424927, 0.651552, 0.150735, -0.372531, 0.483132, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057955, -0.628938, -0.312943, -0.457286, 0.542249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.796110, 0.089552, 0.443733, -0.056190, 0.397659, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.219759, -0.098893, 0.023063, 0.799662, 0.549486, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.366050, -0.402637, 0.825781, -0.097435, -0.111723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[105.571643, 107.208675, 108.997358, 109.976435, 480.094370], [14.242208, 15.242816, 16.100878, 16.122827, 112.119361], [192.418237, 198.484354, 201.076151, 202.386908, 855.437556], [52.422073, 54.719339, 55.852399, 55.923052, 257.417666], [89.352930, 92.590402, 92.696862, 94.538523, 472.046548]]
### 4
mean: [-0.972255, 6.642378, -4.911438, -0.607670, 6.208989]
std: [0.920683, 8.465356, 5.806570, 0.387334, 7.786462]
pca: [[-0.071243, 0.113408, -0.148770, -0.083743, 0.976175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655059, -0.651787, 0.337352, 0.028343, 0.177374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449319, 0.032659, 0.887162, -0.026653, 0.096331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.029972, 0.037281, 0.004715, 0.995666, 0.079615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602525, 0.748235, 0.277458, -0.011063, -0.001617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.462225, 15.470641, 15.753661, 16.117773, 87.502996], [142.156355, 142.251268, 144.839003, 148.188924, 597.814079], [97.507558, 97.570320, 99.349259, 101.640784, 442.029495], [6.501261, 6.515743, 6.621747, 6.788065, 54.690290], [130.760235, 130.835688, 133.229778, 136.297604, 558.809014]]
### 6
mean: [6.655891, -4.870494, -1.812591, 6.461768, -4.218500]
std: [8.438114, 5.628015, 1.816396, 8.960582, 5.080978]
pca: [[0.579144, 0.170583, 0.793210, 0.079227, 0.005908, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386275, 0.739510, 0.175130, -0.522649, 0.009227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124667, 0.499059, -0.089501, 0.761499, -0.384068, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.615004, 0.417692, -0.538121, -0.036862, 0.395437, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.348730, 0.022379, 0.206308, 0.373259, 0.834267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.351446, 142.662587, 143.279930, 149.016159, 599.030212], [93.637763, 95.066407, 95.636493, 99.454477, 438.344476], [30.237390, 30.628292, 30.910777, 32.138045, 163.133179], [149.035705, 151.514991, 152.135412, 158.228569, 581.559134], [84.522410, 85.870669, 86.303283, 89.754280, 379.664985]]
### 8
mean: [-6.207657, -2.587202, 5.076128, 6.140697, 3.752843]
std: [7.843345, 2.840847, 7.450896, 8.906336, 5.427135]
pca: [[-0.512859, 0.674292, 0.277932, -0.048960, -0.450181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185744, 0.423315, -0.169422, -0.381153, 0.782510, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.487209, 0.363395, -0.632777, -0.307900, -0.367916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582384, 0.143199, 0.701968, -0.383254, 0.026079, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.354868, 0.462140, 0.029729, 0.781434, 0.221297, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[130.957224, 131.713961, 134.045266, 138.989600, 558.689094], [47.294320, 47.873955, 48.359695, 50.290995, 232.848170], [124.165150, 125.168037, 128.402663, 132.305445, 456.851553], [148.703231, 149.396030, 153.173743, 158.072655, 552.662685], [90.252761, 91.315586, 93.730061, 96.419081, 337.755872]]
### 10
mean: [-2.267204, -1.687673, 7.401252, -2.787835, 8.234999]
std: [2.964383, 1.904955, 10.883339, 3.457023, 12.149040]
pca: [[-0.173951, 0.210365, -0.187680, -0.416669, 0.846553, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.111783, 0.314175, -0.518111, 0.770507, 0.163335, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.638636, 0.613713, 0.433420, 0.106846, 0.127400, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202858, -0.403046, 0.628752, 0.467030, 0.427735, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.712908, -0.563871, -0.336387, 0.056325, 0.239755, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.923454, 50.405305, 51.909911, 52.636420, 204.048327], [31.460221, 32.368205, 33.328384, 33.829090, 151.890546], [179.541291, 185.118798, 190.680641, 193.229471, 666.112656], [56.992354, 58.835715, 60.619380, 61.369292, 250.905131], [200.429384, 206.636858, 212.844910, 215.702687, 741.149900]]
### 12
mean: [-6.933218]
std: [11.604170]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[190.509045, 198.068101, 204.736747, 205.754189, 623.989545]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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"fourier": [200.4293839941722, 206.63685819024764, 212.8449098261087, 215.70268693108028, 741.1498999893665]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -6.933218002319336, "std": 11.604169845581055, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [190.50904544529524, 198.06810104542302, 204.73674734607954, 205.75418947382394, 623.9895449876785]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.833382, 0.499046, 0.544274, 0.403053, -0.106643], [2.014323, 0.48481, 0.733982, 0.528965, 0.104906], [1.295954, 1.102568, -0.123882, -0.272832, -0.330851], [2.132065, 0.32574, 0.299217, 0.211189, -0.161641], [0.153987, -0.397447, -0.385392, -0.199481, -0.30293]], "network.0.bias": [-0.947959, -0.975262, -0.48283, -0.449065, 0.248679], "network.2.weight": [[-0.298387, -0.218033, -0.408039, -0.531145, -0.153903], [0.208449, -0.379101, -0.287817, 0.226517, -0.268346], [0.651433, 0.661387, 1.142924, 0.368169, -0.085384], [-0.533317, 0.004304, -0.257371, -0.002928, 0.144953], [-0.522596, -0.410441, -0.358655, 0.047809, -0.329223]], "network.2.bias": [0.017607, -0.287787, -0.769035, -0.031335, -0.195898], "network.4.weight": [[0.135392, 0.131135, -0.079763, -0.025427, 0.037063], [-0.137747, -0.015066, 0.733404, 0.242753, -0.068385], [-0.172479, -0.33418, -0.503054, 0.040465, -0.442149], [0.188212, 0.253486, -0.033568, -0.424176, -0.311681], [-0.038529, 0.312718, 0.674575, -0.197573, -0.084894]], "network.4.bias": [-0.206461, -0.39921, -0.081538, -0.285212, -0.267581], "network.6.weight": [[0.407293, 0.471872, 0.186072, 0.025177, 0.576391], [0.362574, -0.484367, -0.004517, 0.280783, -0.20035], [-0.112728, -0.261836, -0.133338, 0.20084, 0.049836], [0.006535, 0.46343, -0.132554, -0.207683, 0.652946], [0.432219, -0.349369, -0.360552, 0.422018, -0.276283]], "network.6.bias": [-0.111784, -0.369483, -0.36793, -0.727799, -0.148315], "network.8.weight": [[-0.728032, 0.283043, 0.400094, -0.193774, 0.102237], [-0.345331, 0.266681, 0.019296, 0.007627, -0.336387], [0.231504, -0.043089, -0.445484, 0.622507, -0.415579], [0.41195, -0.260024, -0.392833, 0.615266, 0.211595], [0.079806, -0.349784, -0.093528, 0.538044, 0.101322]], "network.8.bias": [-0.064016, -0.33205, -0.590716, -0.682984, -0.342], "network.10.weight": [[-0.129677, 0.088166, 0.004919, -0.169452, -0.282585], [-0.209759, -0.385072, -0.008127, -0.350437, 0.229409], [0.070583, 0.035198, 0.461388, 0.536448, 0.521722], [0.350095, -0.320903, -0.313061, -0.017138, -0.188867], [-0.034047, -0.382445, 0.586226, 0.786255, 0.178079]], "network.10.bias": [-0.134491, -0.312821, -0.414841, -0.312297, -0.491861], "network.12.weight": [[0.33649, 0.175292, -0.533264, -0.165043, -0.486717]], "network.12.bias": [1.180755]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6998037397861481, "train_acc": 0.435, "val_loss": 0.6932978630065918, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6660493016242981, "train_acc": 0.565, "val_loss": 0.756321132183075, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6678675711154938, "train_acc": 0.565, "val_loss": 0.6526715159416199, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.654994398355484, "train_acc": 0.5, "val_loss": 0.569490373134613, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5673992037773132, "train_acc": 0.8, "val_loss": 0.5963187217712402, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5486684739589691, "train_acc": 0.845, "val_loss": 0.45436036586761475, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4591245949268341, "train_acc": 0.825, "val_loss": 0.4129745364189148, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4240220785140991, "train_acc": 0.805, "val_loss": 0.39436015486717224, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3725544661283493, "train_acc": 0.86, "val_loss": 0.4074343144893646, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3708173483610153, "train_acc": 0.855, "val_loss": 0.34345200657844543, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3033010810613632, "train_acc": 0.91, "val_loss": 0.2847183644771576, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.30249902606010437, "train_acc": 0.86, "val_loss": 0.2647905647754669, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.24314197897911072, "train_acc": 0.935, "val_loss": 0.2896506190299988, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6932978630065918, "final_val_loss": 0.6526715159416199, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.569490373134613, "final_val_loss": 0.2896506190299988, "initial_val_acc": 0.78, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 11}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
52
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.7, "improved_accuracy": 0.92, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9169, "learning_rate": 0.02856298291523507, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-1.198004, 1.443578, 0.322794, -0.288970, 1.297005, 1.542763]
std: [1.145254, 1.476266, 1.819589, 1.683378, 1.864004, 1.702800]
pca: [[-0.186061, 0.271645, 0.570546, 0.398051, 0.366666, 0.522666, 0.000000, 0.000000, 0.000000, 0.000000], [0.376691, -0.435295, 0.011526, -0.089431, 0.799645, -0.145118, 0.000000, 0.000000, 0.000000, 0.000000], [0.536773, -0.058945, 0.476586, -0.540770, -0.294267, 0.319751, 0.000000, 0.000000, 0.000000, 0.000000], [0.225515, 0.667476, -0.506840, -0.276836, 0.287178, 0.296012, 0.000000, 0.000000, 0.000000, 0.000000], [0.554997, -0.203397, -0.306518, 0.626422, -0.238182, 0.327902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420097, -0.496346, -0.310435, -0.268482, 0.018126, 0.639045, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.863281, 18.923739, 21.422945, 23.525352, 107.820384], [22.549829, 22.939032, 25.769726, 27.763607, 129.921978], [29.257495, 31.218558, 33.047382, 33.881807, 35.117389], [27.592206, 27.674341, 27.995687, 30.434048, 30.478562], [30.389485, 31.812758, 33.057793, 34.643542, 116.730419], [27.717897, 28.495701, 28.788100, 31.516785, 138.848639]]
### 2
mean: [0.299390, 0.168325, -1.068021, -0.775135, 0.966611, -0.140586]
std: [1.610468, 0.882422, 0.752883, 0.667831, 0.625487, 2.342664]
pca: [[-0.532085, -0.341705, -0.351419, -0.005274, 0.357358, 0.590674, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253123, -0.381313, 0.041454, 0.609701, 0.274502, -0.584572, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010586, 0.677723, -0.246686, -0.029021, 0.670734, -0.170291, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117332, 0.421257, -0.323409, 0.663632, -0.459464, 0.229495, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076032, 0.180996, 0.819463, 0.295082, 0.228602, 0.388083, 0.000000, 0.000000, 0.000000, 0.000000], [0.795710, -0.261368, -0.194473, 0.316090, 0.289300, 0.277678, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.845778, 26.945102, 27.424142, 29.774138, 29.825382], [13.305483, 14.242737, 14.465149, 15.149254, 17.411879], [11.903270, 12.948954, 13.994165, 17.686940, 96.121892], [10.430899, 12.806409, 13.222946, 15.171737, 69.762186], [10.268597, 10.759741, 10.779047, 12.625228, 86.994949], [36.774146, 38.203996, 39.537554, 39.948888, 44.968848]]
### 4
mean: [-0.194237, 0.948984, -0.730372, -0.929862, -0.162023, 1.426261]
std: [0.983558, 0.387719, 0.470585, 0.293385, 0.613971, 0.748990]
pca: [[0.723042, 0.372587, 0.037695, 0.338779, -0.016733, 0.471081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171825, 0.176197, 0.762861, -0.293249, -0.452595, 0.258141, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263735, -0.383064, 0.382513, 0.768553, 0.172239, 0.130571, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175234, -0.245418, -0.102570, -0.361026, 0.458178, 0.747179, 0.000000, 0.000000, 0.000000, 0.000000], [0.434407, -0.176355, 0.503351, -0.256353, 0.574008, -0.362801, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398389, 0.769457, 0.080141, 0.111817, 0.475183, -0.067056, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.757975, 15.868491, 16.279413, 16.486307, 17.481354], [6.606780, 6.790909, 7.560899, 8.503587, 85.408558], [6.736837, 7.550394, 7.708796, 10.865386, 65.733478], [4.629867, 4.789925, 5.273353, 5.588188, 83.687585], [9.818124, 10.013374, 10.110555, 10.738409, 14.582049], [12.914234, 13.043922, 13.960360, 14.183769, 128.363460]]
### 6
mean: [-0.712072, -0.648188, 1.787118, 1.361901, 1.500326, -0.570722]
std: [0.890247, 0.286985, 0.804763, 0.430162, 0.669428, 0.676169]
pca: [[0.550074, 0.604740, -0.234938, 0.259813, 0.064770, -0.452565, 0.000000, 0.000000, 0.000000, 0.000000], [0.174013, 0.136840, -0.574410, -0.331950, 0.438160, 0.564688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.494832, 0.601913, -0.204352, -0.129574, -0.557064, 0.154830, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269853, 0.079582, -0.051923, 0.865512, 0.236833, 0.336078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415157, 0.395043, 0.384319, -0.235348, 0.648650, -0.218518, 0.000000, 0.000000, 0.000000, 0.000000], [0.420837, 0.301453, 0.650154, -0.031878, -0.129090, 0.540038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.768275, 14.724077, 14.843416, 15.662047, 64.086444], [4.411661, 4.621441, 4.805886, 4.948457, 58.336915], [14.371809, 14.862406, 14.945406, 15.093235, 160.840606], [7.350538, 7.513058, 7.615308, 7.776307, 122.571048], [11.523592, 11.615865, 12.082520, 12.554520, 135.029323], [10.682550, 10.740914, 11.477431, 12.298397, 51.364999]]
### 8
mean: [-3.155996]
std: [1.364018]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.405609, 22.757545, 23.218396, 25.911699, 284.039708]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.010948,
-0.061427,
-0.111061,
-0.246963,
-0.464145
],
[
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0.342212,
0.310029,
0.271667
],
[
-0.918161,
0.092717,
0.184675,
0.057884,
0.426104
],
[
0.118005,
-0.92761,
-0.078421,
0.213317,
0.263068
],
[
-0.530849,
-0.20635,
0.714589,
0.322204,
0.379752
],
[
0.547218,
0.598512,
-0.254195,
-0.020708,
-0.088608
]
],
"network.0.bias": [
0.234344,
-0.082576,
0.261021,
0.636408,
-0.318374,
0.455833
],
"network.2.weight": [
[
0.825233,
0.449396,
0.46623,
-0.793371,
0.285156,
-0.379325
],
[
0.305724,
0.154257,
0.107325,
-0.641988,
0.388606,
-0.021467
],
[
-0.271125,
-0.202986,
-0.296204,
0.210052,
-0.000812,
-0.382481
],
[
0.413876,
-0.344247,
-0.136109,
-0.392138,
0.331577,
-0.327755
],
[
-0.327868,
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-0.362436,
0.40006,
0.488409,
0.10306
],
[
-0.334035,
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-0.363839,
0.223954,
-0.743789,
0.655095
]
],
"network.2.bias": [
-0.215733,
-0.409738,
-0.058873,
0.033453,
0.38173,
0.545184
],
"network.4.weight": [
[
0.64961,
0.526734,
0.656484,
-0.288785,
-0.580565,
0.062077
],
[
0.007866,
-0.089767,
-0.491203,
-0.635136,
0.590655,
0.189045
],
[
-0.529517,
0.198027,
0.709406,
0.261498,
0.380625,
-0.176171
],
[
-0.109455,
-0.357373,
0.180299,
0.327215,
0.09712,
-0.121497
],
[
0.434073,
-0.01707,
0.812405,
0.080465,
-0.068761,
-0.199398
],
[
-0.100508,
-0.005649,
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0.392868,
0.575925
]
],
"network.4.bias": [
-0.360939,
0.214378,
-0.493075,
-0.668635,
-0.16439,
0.615917
],
"network.6.weight": [
[
0.712256,
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0.257878,
-0.070207,
0.240763,
-0.619648
],
[
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0.147845,
0.162485,
0.39248,
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-0.301016
],
[
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0.534076,
-0.231792,
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0.69927
],
[
-0.293102,
0.351231,
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0.102895,
0.289389
],
[
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0.645516
],
[
0.377625,
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0.418382,
0.12393,
0.488482,
-0.325102
]
],
"network.6.bias": [
-0.027722,
-0.341425,
0.400124,
0.602376,
0.347333,
0.167181
],
"network.8.weight": [
[
0.652411,
0.31141,
-0.402152,
-0.543769,
-0.767694,
0.456681
]
],
"network.8.bias": [
-0.658934
]
}
## Activation Signature
### 0
mean: [-1.198004, 1.443578, 0.322794, -0.288970, 1.297005, 1.542763]
std: [1.145254, 1.476266, 1.819589, 1.683378, 1.864004, 1.702800]
pca: [[-0.186061, 0.271645, 0.570546, 0.398051, 0.366666, 0.522666, 0.000000, 0.000000, 0.000000, 0.000000], [0.376691, -0.435295, 0.011526, -0.089431, 0.799645, -0.145118, 0.000000, 0.000000, 0.000000, 0.000000], [0.536773, -0.058945, 0.476586, -0.540770, -0.294267, 0.319751, 0.000000, 0.000000, 0.000000, 0.000000], [0.225515, 0.667476, -0.506840, -0.276836, 0.287178, 0.296012, 0.000000, 0.000000, 0.000000, 0.000000], [0.554997, -0.203397, -0.306518, 0.626422, -0.238182, 0.327902, 0.000000, 0.000000, 0.000000, 0.000000], [-0.420097, -0.496346, -0.310435, -0.268482, 0.018126, 0.639045, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.863281, 18.923739, 21.422945, 23.525352, 107.820384], [22.549829, 22.939032, 25.769726, 27.763607, 129.921978], [29.257495, 31.218558, 33.047382, 33.881807, 35.117389], [27.592206, 27.674341, 27.995687, 30.434048, 30.478562], [30.389485, 31.812758, 33.057793, 34.643542, 116.730419], [27.717897, 28.495701, 28.788100, 31.516785, 138.848639]]
### 2
mean: [0.299390, 0.168325, -1.068021, -0.775135, 0.966611, -0.140586]
std: [1.610468, 0.882422, 0.752883, 0.667831, 0.625487, 2.342664]
pca: [[-0.532085, -0.341705, -0.351419, -0.005274, 0.357358, 0.590674, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253123, -0.381313, 0.041454, 0.609701, 0.274502, -0.584572, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010586, 0.677723, -0.246686, -0.029021, 0.670734, -0.170291, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117332, 0.421257, -0.323409, 0.663632, -0.459464, 0.229495, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076032, 0.180996, 0.819463, 0.295082, 0.228602, 0.388083, 0.000000, 0.000000, 0.000000, 0.000000], [0.795710, -0.261368, -0.194473, 0.316090, 0.289300, 0.277678, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.845778, 26.945102, 27.424142, 29.774138, 29.825382], [13.305483, 14.242737, 14.465149, 15.149254, 17.411879], [11.903270, 12.948954, 13.994165, 17.686940, 96.121892], [10.430899, 12.806409, 13.222946, 15.171737, 69.762186], [10.268597, 10.759741, 10.779047, 12.625228, 86.994949], [36.774146, 38.203996, 39.537554, 39.948888, 44.968848]]
### 4
mean: [-0.194237, 0.948984, -0.730372, -0.929862, -0.162023, 1.426261]
std: [0.983558, 0.387719, 0.470585, 0.293385, 0.613971, 0.748990]
pca: [[0.723042, 0.372587, 0.037695, 0.338779, -0.016733, 0.471081, 0.000000, 0.000000, 0.000000, 0.000000], [-0.171825, 0.176197, 0.762861, -0.293249, -0.452595, 0.258141, 0.000000, 0.000000, 0.000000, 0.000000], [-0.263735, -0.383064, 0.382513, 0.768553, 0.172239, 0.130571, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175234, -0.245418, -0.102570, -0.361026, 0.458178, 0.747179, 0.000000, 0.000000, 0.000000, 0.000000], [0.434407, -0.176355, 0.503351, -0.256353, 0.574008, -0.362801, 0.000000, 0.000000, 0.000000, 0.000000], [-0.398389, 0.769457, 0.080141, 0.111817, 0.475183, -0.067056, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.757975, 15.868491, 16.279413, 16.486307, 17.481354], [6.606780, 6.790909, 7.560899, 8.503587, 85.408558], [6.736837, 7.550394, 7.708796, 10.865386, 65.733478], [4.629867, 4.789925, 5.273353, 5.588188, 83.687585], [9.818124, 10.013374, 10.110555, 10.738409, 14.582049], [12.914234, 13.043922, 13.960360, 14.183769, 128.363460]]
### 6
mean: [-0.712072, -0.648188, 1.787118, 1.361901, 1.500326, -0.570722]
std: [0.890247, 0.286985, 0.804763, 0.430162, 0.669428, 0.676169]
pca: [[0.550074, 0.604740, -0.234938, 0.259813, 0.064770, -0.452565, 0.000000, 0.000000, 0.000000, 0.000000], [0.174013, 0.136840, -0.574410, -0.331950, 0.438160, 0.564688, 0.000000, 0.000000, 0.000000, 0.000000], [-0.494832, 0.601913, -0.204352, -0.129574, -0.557064, 0.154830, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269853, 0.079582, -0.051923, 0.865512, 0.236833, 0.336078, 0.000000, 0.000000, 0.000000, 0.000000], [-0.415157, 0.395043, 0.384319, -0.235348, 0.648650, -0.218518, 0.000000, 0.000000, 0.000000, 0.000000], [0.420837, 0.301453, 0.650154, -0.031878, -0.129090, 0.540038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.768275, 14.724077, 14.843416, 15.662047, 64.086444], [4.411661, 4.621441, 4.805886, 4.948457, 58.336915], [14.371809, 14.862406, 14.945406, 15.093235, 160.840606], [7.350538, 7.513058, 7.615308, 7.776307, 122.571048], [11.523592, 11.615865, 12.082520, 12.554520, 135.029323], [10.682550, 10.740914, 11.477431, 12.298397, 51.364999]]
### 8
mean: [-3.155996]
std: [1.364018]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.405609, 22.757545, 23.218396, 25.911699, 284.039708]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.010948, -0.061427, -0.111061, -0.246963, -0.464145], [-0.532661, 0.260277, 0.342212, 0.310029, 0.271667], [-0.918161, 0.092717, 0.184675, 0.057884, 0.426104], [0.118005, -0.92761, -0.078421, 0.213317, 0.263068], [-0.530849, -0.20635, 0.714589, 0.322204, 0.379752], [0.547218, 0.598512, -0.254195, -0.020708, -0.088608]], "network.0.bias": [0.234344, -0.082576, 0.261021, 0.636408, -0.318374, 0.455833], "network.2.weight": [[0.825233, 0.449396, 0.46623, -0.793371, 0.285156, -0.379325], [0.305724, 0.154257, 0.107325, -0.641988, 0.388606, -0.021467], [-0.271125, -0.202986, -0.296204, 0.210052, -0.000812, -0.382481], [0.413876, -0.344247, -0.136109, -0.392138, 0.331577, -0.327755], [-0.327868, -0.123349, -0.362436, 0.40006, 0.488409, 0.10306], [-0.334035, -0.269037, -0.363839, 0.223954, -0.743789, 0.655095]], "network.2.bias": [-0.215733, -0.409738, -0.058873, 0.033453, 0.38173, 0.545184], "network.4.weight": [[0.64961, 0.526734, 0.656484, -0.288785, -0.580565, 0.062077], [0.007866, -0.089767, -0.491203, -0.635136, 0.590655, 0.189045], [-0.529517, 0.198027, 0.709406, 0.261498, 0.380625, -0.176171], [-0.109455, -0.357373, 0.180299, 0.327215, 0.09712, -0.121497], [0.434073, -0.01707, 0.812405, 0.080465, -0.068761, -0.199398], [-0.100508, -0.005649, -0.749613, -0.169641, 0.392868, 0.575925]], "network.4.bias": [-0.360939, 0.214378, -0.493075, -0.668635, -0.16439, 0.615917], "network.6.weight": [[0.712256, -0.002027, 0.257878, -0.070207, 0.240763, -0.619648], [0.373269, 0.147845, 0.162485, 0.39248, -0.372464, -0.301016], [-0.170807, 0.534076, -0.231792, -0.34966, -0.140423, 0.69927], [-0.293102, 0.351231, -0.741852, -0.384649, 0.102895, 0.289389], [-0.099722, 0.263406, -0.376191, -0.530672, -0.208089, 0.645516], [0.377625, -0.427647, 0.418382, 0.12393, 0.488482, -0.325102]], "network.6.bias": [-0.027722, -0.341425, 0.400124, 0.602376, 0.347333, 0.167181], "network.8.weight": [[0.652411, 0.31141, -0.402152, -0.543769, -0.767694, 0.456681]], "network.8.bias": [-0.658934]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6870701909065247, "train_acc": 0.555, "val_loss": 0.6929000616073608, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6878697276115417, "train_acc": 0.555, "val_loss": 0.687052309513092, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6752554476261139, "train_acc": 0.585, "val_loss": 0.6615450978279114, "val_acc": 0.7}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6579265892505646, "train_acc": 0.665, "val_loss": 0.6372056007385254, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6178113222122192, "train_acc": 0.69, "val_loss": 0.601417601108551, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5789805054664612, "train_acc": 0.73, "val_loss": 0.5610678791999817, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5252333581447601, "train_acc": 0.795, "val_loss": 0.49431338906288147, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.46755385398864746, "train_acc": 0.82, "val_loss": 0.4282728433609009, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3999996781349182, "train_acc": 0.84, "val_loss": 0.3410073220729828, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3495720475912094, "train_acc": 0.87, "val_loss": 0.2861010730266571, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.32629041373729706, "train_acc": 0.855, "val_loss": 0.228912815451622, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3020082414150238, "train_acc": 0.855, "val_loss": 0.20676031708717346, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3193178325891495, "train_acc": 0.87, "val_loss": 0.1949755847454071, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3114641308784485, "train_acc": 0.875, "val_loss": 0.18795181810855865, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6929000616073608, "final_val_loss": 0.6372056007385254, "initial_val_acc": 0.52, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.601417601108551, "final_val_loss": 0.18795181810855865, "initial_val_acc": 0.74, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.22000000000000008, "first_improvement_epoch": 3}}
|
53
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.48, "improved_accuracy": 0.68, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7506, "learning_rate": 0.05975136536946539, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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[
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[
0.126189,
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[
0.058249,
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[
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}
## Activation Signature
### 0
mean: [0.073274, 1.452173, 1.270109, -0.239128, 0.355377, -1.469575, -1.606387]
std: [1.468550, 1.209201, 1.338526, 1.120952, 1.432370, 1.260341, 1.183597]
pca: [[-0.481070, -0.302249, -0.257548, 0.621222, 0.265067, 0.164176, 0.357429, 0.000000, 0.000000, 0.000000], [-0.305261, 0.196133, 0.636894, 0.036610, 0.264902, 0.549581, -0.298598, 0.000000, 0.000000, 0.000000], [0.040916, 0.732572, 0.077380, 0.368667, 0.313281, -0.465379, 0.070984, 0.000000, 0.000000, 0.000000], [0.209166, -0.164284, 0.653314, 0.183960, -0.327392, -0.116284, 0.589824, 0.000000, 0.000000, 0.000000], [-0.531017, -0.184529, 0.194077, -0.530057, 0.323079, -0.481111, 0.171745, 0.000000, 0.000000, 0.000000], [0.531799, -0.090007, -0.049239, -0.211447, 0.694976, 0.249345, 0.341746, 0.000000, 0.000000, 0.000000], [0.255294, -0.514173, 0.234815, 0.342516, 0.258581, -0.383752, -0.532791, 0.000000, 0.000000, 0.000000]]
fourier: [[23.662474, 24.304292, 25.698035, 26.195604, 28.109261], [19.054725, 21.203038, 21.605245, 22.076633, 130.695621], [19.288268, 20.273071, 20.570400, 23.300959, 114.309837], [17.225135, 18.064223, 21.521547, 21.791209, 22.057459], [22.607795, 25.997592, 27.168709, 28.084696, 31.983968], [21.870416, 22.717171, 24.526508, 24.529159, 132.261714], [16.958477, 22.649508, 23.789081, 23.898983, 144.574790]]
### 2
mean: [-0.484424, -0.102545, 1.071280, 0.937846, 0.158261, 0.384005, 0.277201]
std: [0.589653, 0.712923, 0.476056, 0.799754, 0.506786, 0.526273, 0.266460]
pca: [[-0.453722, 0.218470, 0.148354, 0.231926, 0.210874, 0.493615, 0.618454, 0.000000, 0.000000, 0.000000], [0.465986, -0.489301, 0.292627, 0.653292, -0.032484, 0.144561, 0.095221, 0.000000, 0.000000, 0.000000], [0.318436, 0.337641, -0.193168, 0.077512, 0.442549, 0.567696, -0.472385, 0.000000, 0.000000, 0.000000], [0.587891, 0.431375, -0.236013, 0.007388, 0.130811, -0.318386, 0.542275, 0.000000, 0.000000, 0.000000], [0.257180, 0.376206, 0.644719, -0.265694, -0.493570, 0.248225, -0.029062, 0.000000, 0.000000, 0.000000], [-0.249441, 0.520248, 0.039131, 0.657481, -0.189358, -0.338189, -0.288238, 0.000000, 0.000000, 0.000000], [-0.040174, 0.024100, 0.618183, -0.102384, 0.679741, -0.368525, -0.085516, 0.000000, 0.000000, 0.000000]]
fourier: [[8.299686, 8.638478, 9.581296, 12.022175, 43.598126], [10.249764, 11.311550, 11.348797, 12.983831, 15.409017], [6.961232, 7.527306, 7.530592, 7.795804, 96.415208], [12.241438, 12.328078, 12.734294, 12.886899, 84.406128], [6.900891, 7.095967, 9.976008, 10.688223, 14.243506], [10.080162, 10.308915, 10.372717, 10.502203, 34.560413], [3.787018, 3.912351, 3.953696, 7.023798, 24.948117]]
### 4
mean: [-0.602417, 0.753412, -0.985801, 0.631436, 0.127542, 0.357837, -0.819737]
std: [0.271838, 0.665698, 0.561412, 0.230220, 0.353472, 0.319620, 0.431635]
pca: [[-0.247529, 0.172579, 0.284692, -0.244945, 0.613226, -0.274627, -0.562523, 0.000000, 0.000000, 0.000000], [0.605449, 0.517304, 0.247614, -0.392184, 0.176379, 0.104339, 0.329716, 0.000000, 0.000000, 0.000000], [-0.472125, 0.622505, -0.152449, -0.138312, -0.281367, 0.490879, -0.164574, 0.000000, 0.000000, 0.000000], [-0.099005, -0.283406, 0.830353, 0.038061, -0.145095, 0.444600, -0.014945, 0.000000, 0.000000, 0.000000], [0.296130, 0.378093, 0.249305, 0.496592, -0.424460, -0.352962, -0.394774, 0.000000, 0.000000, 0.000000], [0.307761, 0.011058, -0.205341, 0.527952, 0.468650, 0.559170, -0.227945, 0.000000, 0.000000, 0.000000], [-0.396292, 0.302829, 0.201479, 0.490182, 0.304672, -0.194444, 0.582874, 0.000000, 0.000000, 0.000000]]
fourier: [[4.211944, 4.407815, 4.594881, 4.595987, 54.217539], [9.763471, 10.106346, 10.771696, 12.158350, 67.807115], [7.885137, 8.792303, 8.893522, 10.603350, 88.722115], [3.088641, 3.378947, 3.693136, 5.299533, 56.829196], [4.969114, 5.620614, 5.658499, 6.970833, 11.478789], [4.614766, 4.872306, 5.169462, 5.500734, 32.205365], [6.457792, 6.727862, 7.010737, 7.408217, 73.776320]]
### 6
mean: [-0.165555, -0.302360, -0.070604, 0.041485, 0.673415, 0.539633, -0.558170]
std: [0.188120, 0.255030, 0.331056, 0.417991, 0.159855, 0.333578, 0.260669]
pca: [[0.245300, 0.230238, 0.269871, -0.004329, -0.450440, 0.738636, -0.255910, 0.000000, 0.000000, 0.000000], [-0.333440, 0.137044, 0.636678, -0.499633, -0.309308, -0.343597, 0.036243, 0.000000, 0.000000, 0.000000], [0.435023, -0.180678, 0.259723, 0.527088, -0.355039, -0.487536, -0.262850, 0.000000, 0.000000, 0.000000], [0.550530, -0.065527, 0.230730, -0.107383, 0.053400, 0.058386, 0.788413, 0.000000, 0.000000, 0.000000], [-0.175948, 0.816974, -0.104970, 0.407129, -0.136306, -0.135974, 0.296234, 0.000000, 0.000000, 0.000000], [0.434830, 0.446217, 0.204385, -0.216484, 0.597439, -0.129099, -0.386749, 0.000000, 0.000000, 0.000000], [-0.341002, -0.157211, 0.590192, 0.498373, 0.443865, 0.245158, 0.071987, 0.000000, 0.000000, 0.000000]]
fourier: [[2.857888, 3.141864, 3.180946, 3.187369, 14.899991], [3.832891, 3.948618, 4.095611, 4.316088, 27.212441], [5.148643, 5.164601, 5.377263, 5.561956, 6.354343], [6.433138, 6.651144, 6.673803, 6.769370, 6.899351], [2.303174, 2.487453, 2.538111, 3.152011, 60.607397], [5.078953, 5.536766, 5.606257, 5.671339, 48.566941], [4.059523, 4.120513, 4.265711, 4.303374, 50.235300]]
### 8
mean: [-0.400988, 0.053110, 0.009090, 0.141416, -0.115365, -0.347454, -0.157261]
std: [0.073276, 0.094589, 0.277075, 0.073824, 0.179454, 0.078855, 0.201065]
pca: [[-0.126862, 0.591416, -0.452731, 0.299568, -0.186641, 0.469492, 0.290119, 0.000000, 0.000000, 0.000000], [-0.224779, 0.115816, 0.330268, -0.439086, 0.554102, 0.567331, 0.072756, 0.000000, 0.000000, 0.000000], [0.679508, 0.106512, 0.199380, -0.126373, 0.032341, -0.085231, 0.680361, 0.000000, 0.000000, 0.000000], [0.112468, 0.512965, 0.673351, 0.405780, -0.049897, -0.048539, -0.318296, 0.000000, 0.000000, 0.000000], [0.434934, -0.373681, -0.152048, 0.541689, 0.408517, 0.383291, -0.202117, 0.000000, 0.000000, 0.000000], [-0.183647, 0.279331, -0.221103, 0.193457, 0.694763, -0.547704, 0.138777, 0.000000, 0.000000, 0.000000], [0.485908, 0.380358, -0.347559, -0.453852, 0.070842, -0.034638, -0.534999, 0.000000, 0.000000, 0.000000]]
fourier: [[1.047457, 1.072217, 1.202886, 1.270617, 36.088937], [1.456814, 1.480233, 1.677095, 1.713027, 4.779870], [4.146610, 4.197757, 4.319570, 4.426460, 4.946454], [1.033622, 1.084446, 1.204957, 1.225209, 12.727407], [2.667989, 2.685869, 3.103667, 3.177742, 10.382829], [1.192698, 1.204541, 1.275514, 1.324265, 31.270826], [3.184412, 3.319068, 3.535957, 3.723732, 14.153485]]
### 10
mean: [-0.048013]
std: [0.178900]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.804257, 2.998657, 3.385329, 3.768422, 4.321179]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.073274, 1.452173, 1.270109, -0.239128, 0.355377, -1.469575, -1.606387]
std: [1.468550, 1.209201, 1.338526, 1.120952, 1.432370, 1.260341, 1.183597]
pca: [[-0.481070, -0.302249, -0.257548, 0.621222, 0.265067, 0.164176, 0.357429, 0.000000, 0.000000, 0.000000], [-0.305261, 0.196133, 0.636894, 0.036610, 0.264902, 0.549581, -0.298598, 0.000000, 0.000000, 0.000000], [0.040916, 0.732572, 0.077380, 0.368667, 0.313281, -0.465379, 0.070984, 0.000000, 0.000000, 0.000000], [0.209166, -0.164284, 0.653314, 0.183960, -0.327392, -0.116284, 0.589824, 0.000000, 0.000000, 0.000000], [-0.531017, -0.184529, 0.194077, -0.530057, 0.323079, -0.481111, 0.171745, 0.000000, 0.000000, 0.000000], [0.531799, -0.090007, -0.049239, -0.211447, 0.694976, 0.249345, 0.341746, 0.000000, 0.000000, 0.000000], [0.255294, -0.514173, 0.234815, 0.342516, 0.258581, -0.383752, -0.532791, 0.000000, 0.000000, 0.000000]]
fourier: [[23.662474, 24.304292, 25.698035, 26.195604, 28.109261], [19.054725, 21.203038, 21.605245, 22.076633, 130.695621], [19.288268, 20.273071, 20.570400, 23.300959, 114.309837], [17.225135, 18.064223, 21.521547, 21.791209, 22.057459], [22.607795, 25.997592, 27.168709, 28.084696, 31.983968], [21.870416, 22.717171, 24.526508, 24.529159, 132.261714], [16.958477, 22.649508, 23.789081, 23.898983, 144.574790]]
### 2
mean: [-0.484424, -0.102545, 1.071280, 0.937846, 0.158261, 0.384005, 0.277201]
std: [0.589653, 0.712923, 0.476056, 0.799754, 0.506786, 0.526273, 0.266460]
pca: [[-0.453722, 0.218470, 0.148354, 0.231926, 0.210874, 0.493615, 0.618454, 0.000000, 0.000000, 0.000000], [0.465986, -0.489301, 0.292627, 0.653292, -0.032484, 0.144561, 0.095221, 0.000000, 0.000000, 0.000000], [0.318436, 0.337641, -0.193168, 0.077512, 0.442549, 0.567696, -0.472385, 0.000000, 0.000000, 0.000000], [0.587891, 0.431375, -0.236013, 0.007388, 0.130811, -0.318386, 0.542275, 0.000000, 0.000000, 0.000000], [0.257180, 0.376206, 0.644719, -0.265694, -0.493570, 0.248225, -0.029062, 0.000000, 0.000000, 0.000000], [-0.249441, 0.520248, 0.039131, 0.657481, -0.189358, -0.338189, -0.288238, 0.000000, 0.000000, 0.000000], [-0.040174, 0.024100, 0.618183, -0.102384, 0.679741, -0.368525, -0.085516, 0.000000, 0.000000, 0.000000]]
fourier: [[8.299686, 8.638478, 9.581296, 12.022175, 43.598126], [10.249764, 11.311550, 11.348797, 12.983831, 15.409017], [6.961232, 7.527306, 7.530592, 7.795804, 96.415208], [12.241438, 12.328078, 12.734294, 12.886899, 84.406128], [6.900891, 7.095967, 9.976008, 10.688223, 14.243506], [10.080162, 10.308915, 10.372717, 10.502203, 34.560413], [3.787018, 3.912351, 3.953696, 7.023798, 24.948117]]
### 4
mean: [-0.602417, 0.753412, -0.985801, 0.631436, 0.127542, 0.357837, -0.819737]
std: [0.271838, 0.665698, 0.561412, 0.230220, 0.353472, 0.319620, 0.431635]
pca: [[-0.247529, 0.172579, 0.284692, -0.244945, 0.613226, -0.274627, -0.562523, 0.000000, 0.000000, 0.000000], [0.605449, 0.517304, 0.247614, -0.392184, 0.176379, 0.104339, 0.329716, 0.000000, 0.000000, 0.000000], [-0.472125, 0.622505, -0.152449, -0.138312, -0.281367, 0.490879, -0.164574, 0.000000, 0.000000, 0.000000], [-0.099005, -0.283406, 0.830353, 0.038061, -0.145095, 0.444600, -0.014945, 0.000000, 0.000000, 0.000000], [0.296130, 0.378093, 0.249305, 0.496592, -0.424460, -0.352962, -0.394774, 0.000000, 0.000000, 0.000000], [0.307761, 0.011058, -0.205341, 0.527952, 0.468650, 0.559170, -0.227945, 0.000000, 0.000000, 0.000000], [-0.396292, 0.302829, 0.201479, 0.490182, 0.304672, -0.194444, 0.582874, 0.000000, 0.000000, 0.000000]]
fourier: [[4.211944, 4.407815, 4.594881, 4.595987, 54.217539], [9.763471, 10.106346, 10.771696, 12.158350, 67.807115], [7.885137, 8.792303, 8.893522, 10.603350, 88.722115], [3.088641, 3.378947, 3.693136, 5.299533, 56.829196], [4.969114, 5.620614, 5.658499, 6.970833, 11.478789], [4.614766, 4.872306, 5.169462, 5.500734, 32.205365], [6.457792, 6.727862, 7.010737, 7.408217, 73.776320]]
### 6
mean: [-0.165555, -0.302360, -0.070604, 0.041485, 0.673415, 0.539633, -0.558170]
std: [0.188120, 0.255030, 0.331056, 0.417991, 0.159855, 0.333578, 0.260669]
pca: [[0.245300, 0.230238, 0.269871, -0.004329, -0.450440, 0.738636, -0.255910, 0.000000, 0.000000, 0.000000], [-0.333440, 0.137044, 0.636678, -0.499633, -0.309308, -0.343597, 0.036243, 0.000000, 0.000000, 0.000000], [0.435023, -0.180678, 0.259723, 0.527088, -0.355039, -0.487536, -0.262850, 0.000000, 0.000000, 0.000000], [0.550530, -0.065527, 0.230730, -0.107383, 0.053400, 0.058386, 0.788413, 0.000000, 0.000000, 0.000000], [-0.175948, 0.816974, -0.104970, 0.407129, -0.136306, -0.135974, 0.296234, 0.000000, 0.000000, 0.000000], [0.434830, 0.446217, 0.204385, -0.216484, 0.597439, -0.129099, -0.386749, 0.000000, 0.000000, 0.000000], [-0.341002, -0.157211, 0.590192, 0.498373, 0.443865, 0.245158, 0.071987, 0.000000, 0.000000, 0.000000]]
fourier: [[2.857888, 3.141864, 3.180946, 3.187369, 14.899991], [3.832891, 3.948618, 4.095611, 4.316088, 27.212441], [5.148643, 5.164601, 5.377263, 5.561956, 6.354343], [6.433138, 6.651144, 6.673803, 6.769370, 6.899351], [2.303174, 2.487453, 2.538111, 3.152011, 60.607397], [5.078953, 5.536766, 5.606257, 5.671339, 48.566941], [4.059523, 4.120513, 4.265711, 4.303374, 50.235300]]
### 8
mean: [-0.400988, 0.053110, 0.009090, 0.141416, -0.115365, -0.347454, -0.157261]
std: [0.073276, 0.094589, 0.277075, 0.073824, 0.179454, 0.078855, 0.201065]
pca: [[-0.126862, 0.591416, -0.452731, 0.299568, -0.186641, 0.469492, 0.290119, 0.000000, 0.000000, 0.000000], [-0.224779, 0.115816, 0.330268, -0.439086, 0.554102, 0.567331, 0.072756, 0.000000, 0.000000, 0.000000], [0.679508, 0.106512, 0.199380, -0.126373, 0.032341, -0.085231, 0.680361, 0.000000, 0.000000, 0.000000], [0.112468, 0.512965, 0.673351, 0.405780, -0.049897, -0.048539, -0.318296, 0.000000, 0.000000, 0.000000], [0.434934, -0.373681, -0.152048, 0.541689, 0.408517, 0.383291, -0.202117, 0.000000, 0.000000, 0.000000], [-0.183647, 0.279331, -0.221103, 0.193457, 0.694763, -0.547704, 0.138777, 0.000000, 0.000000, 0.000000], [0.485908, 0.380358, -0.347559, -0.453852, 0.070842, -0.034638, -0.534999, 0.000000, 0.000000, 0.000000]]
fourier: [[1.047457, 1.072217, 1.202886, 1.270617, 36.088937], [1.456814, 1.480233, 1.677095, 1.713027, 4.779870], [4.146610, 4.197757, 4.319570, 4.426460, 4.946454], [1.033622, 1.084446, 1.204957, 1.225209, 12.727407], [2.667989, 2.685869, 3.103667, 3.177742, 10.382829], [1.192698, 1.204541, 1.275514, 1.324265, 31.270826], [3.184412, 3.319068, 3.535957, 3.723732, 14.153485]]
### 10
mean: [-0.048013]
std: [0.178900]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.804257, 2.998657, 3.385329, 3.768422, 4.321179]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.397063, -0.661736, 0.488232, 0.110273, -0.372148], [0.08315, 0.402906, 0.368745, -0.032858, -0.188493], [-0.228993, 0.159719, 0.223577, 0.506473, 0.087006], [-0.281999, 0.441688, -0.023791, -0.199901, -0.349442], [0.489568, 0.080944, 0.218858, -0.313007, 0.058305], [-0.413414, 0.204587, -0.453826, -0.148248, 0.167932], [-0.230279, -0.002171, -0.096226, -0.257413, -0.392771]], "network.0.bias": [-0.012374, 0.147185, -0.396403, 0.216304, -0.259214, -0.26912, -0.078431], "network.2.weight": [[0.342632, -0.275203, -0.174118, -0.049253, 0.254298, -0.131409, 0.253385], [-0.331239, 0.150572, 0.161847, -0.08805, -0.471686, 0.175073, -0.377375], [0.062232, 0.031436, 0.369947, 0.175305, 0.058748, -0.131455, -0.327258], [0.023581, 0.215894, 0.533748, 0.175613, -0.081517, -0.025463, -0.008319], [0.428236, 0.15995, 0.157756, 0.323152, -0.309207, -0.172795, -0.275323], [0.440537, -0.189847, 0.086133, -0.196218, 0.223119, -0.173119, -0.361689], [0.284465, -0.041731, -0.081886, 0.242576, -0.174509, 0.45119, -0.272892]], "network.2.bias": [-0.2053, 0.010978, 0.393208, -0.113974, -0.40039, 0.192275, 0.334157], "network.4.weight": [[-0.115373, 0.083271, -0.032694, -0.217036, -0.330263, 0.01541, 0.021323], [-0.226416, 0.38347, 0.424007, 0.462346, -0.222895, -0.302422, -0.181619], [-0.352579, -0.023429, -0.361056, -0.343874, -0.324154, -0.322074, -0.055951], [0.442352, 0.100163, 0.306221, -0.150609, -0.348801, 0.220829, 0.115986], [0.126189, 0.230072, 0.125091, 0.228968, -0.029724, -0.315628, -0.362375], [0.058249, 0.003385, -0.009743, 0.257636, 0.367051, -0.103344, -0.330079], [0.055172, 0.010182, -0.412793, -0.227895, -0.189545, -0.136568, -0.255684]], "network.4.bias": [-0.290344, 0.050529, 0.004666, 0.359136, -0.023567, 0.162112, 0.022083], "network.6.weight": [[-0.11677, 0.084282, 0.352111, 0.007607, 0.280996, 0.207929, 0.00712], [0.287991, -0.260003, -0.173898, 0.206234, 0.077324, -0.279114, -0.141716], [0.04425, 0.176974, -0.195548, -0.300023, 0.4319, 0.232779, -0.262537], [-0.019134, 0.30563, 0.313416, -0.267943, 0.43509, 0.267965, -0.073552], [-0.184538, -0.193984, 0.162262, 0.484612, -0.12304, 0.27408, -0.01067], [0.181962, 0.211665, 0.321551, 0.048303, 0.344741, 0.385113, 0.484829], [0.078983, -0.335345, 0.01308, 0.02749, 0.130394, -0.263731, -0.415334]], "network.6.bias": [-0.369732, -0.146542, -0.192962, -0.214167, 0.444416, 0.133686, -0.247822], "network.8.weight": [[0.072914, 0.223578, 0.273338, 0.076014, 0.159834, -0.340565, -0.224192], [-0.230346, 0.134683, -0.186973, -0.062766, 0.310776, 0.071929, 0.138025], [0.287985, 0.153866, 0.209277, 0.203339, -0.3842, 0.32823, -0.420958], [0.216408, 0.443538, -0.029661, -0.139211, 0.330188, 0.391998, 0.282692], [0.088702, -0.264891, 0.382573, -0.068227, -0.482819, 0.150551, 0.112512], [-0.108151, 0.25843, 0.198029, -0.0813, 0.11822, -0.197317, 0.312141], [0.184512, 0.239309, 0.313026, 0.378915, -0.343268, -0.098801, -0.372388]], "network.8.bias": [-0.370179, -0.159017, 0.02295, -0.27465, 0.101847, -0.324797, 0.019758], "network.10.weight": [[0.002762, 0.163543, -0.436655, 0.139779, -0.390653, 0.362847, -0.446108]], "network.10.bias": [-0.002304]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.682339608669281, "train_acc": 0.56, "val_loss": 0.7184015512466431, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6741864383220673, "train_acc": 0.56, "val_loss": 0.6769736409187317, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7554060220718384, "train_acc": 0.505, "val_loss": 0.6394124031066895, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6726589798927307, "train_acc": 0.605, "val_loss": 0.6868820786476135, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6883289813995361, "train_acc": 0.495, "val_loss": 0.6843786835670471, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6869646310806274, "train_acc": 0.495, "val_loss": 0.6804322004318237, "val_acc": 0.52}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7184015512466431, "final_val_loss": 0.6769736409187317, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6394124031066895, "final_val_loss": 0.6804322004318237, "initial_val_acc": 0.68, "final_val_acc": 0.52, "best_val_acc": 0.68, "best_epoch": 2}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
54
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.74, "improved_accuracy": 0.94, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2026, "learning_rate": 0.03338577609673197, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
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0.237551,
-0.314707,
0.557339,
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],
[
0.671783,
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-0.120188,
0.005344,
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],
[
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[
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0.04681,
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[
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],
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"network.8.weight": [
[
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [-3.105991, -0.117977, 0.824793, 0.732361, 1.302894, -2.798357, 1.155870, 0.872002]
std: [2.274569, 1.934959, 1.133582, 1.127743, 1.471016, 1.689938, 1.577013, 0.707951]
pca: [[0.673437, -0.372191, 0.175699, 0.047479, 0.208386, -0.554666, 0.011228, 0.153709, 0.000000, 0.000000], [0.175201, 0.694414, -0.366731, -0.429848, 0.252595, -0.303391, -0.103334, 0.036124, 0.000000, 0.000000], [-0.252181, -0.291529, -0.038162, -0.452308, 0.335812, -0.105692, 0.655796, -0.302271, 0.000000, 0.000000], [-0.177848, 0.303939, 0.135028, 0.656725, 0.315985, -0.326897, 0.102159, -0.457521, 0.000000, 0.000000], [-0.231855, -0.328308, -0.540190, 0.209662, 0.579587, 0.080100, -0.269145, 0.296510, 0.000000, 0.000000], [0.528495, 0.187440, 0.014973, 0.158215, 0.340453, 0.663916, 0.321443, -0.016855, 0.000000, 0.000000], [-0.285983, 0.189439, 0.673765, -0.119626, 0.386388, 0.015771, -0.027660, 0.513564, 0.000000, 0.000000], [-0.075573, 0.151946, -0.262605, 0.306277, -0.281123, -0.186594, 0.610051, 0.567825, 0.000000, 0.000000]]
fourier: [[33.372924, 36.491010, 43.387495, 46.606479, 279.539140], [27.926625, 31.279411, 36.548049, 39.614586, 41.602509], [19.466324, 20.628438, 23.023933, 23.443853, 74.231366], [18.304626, 18.646691, 20.601326, 22.329937, 65.912482], [23.247723, 23.837171, 24.332591, 27.505317, 117.260493], [27.049220, 28.882549, 33.322012, 35.957519, 251.852100], [25.305071, 28.661502, 29.849112, 31.486295, 104.028305], [10.330911, 10.745899, 11.528322, 12.530783, 78.480164]]
### 2
mean: [0.465323, 1.030362, 0.616915, -1.159237, 1.091723, 0.657873, 0.138055, 0.901292]
std: [1.052538, 1.103547, 1.078171, 0.525216, 0.714703, 1.377315, 0.640337, 0.599611]
pca: [[0.167547, 0.621656, 0.692125, 0.140473, -0.035109, 0.174458, 0.023222, 0.233441, 0.000000, 0.000000], [-0.481173, -0.236920, 0.366594, 0.251610, -0.512375, 0.097758, 0.230729, -0.435111, 0.000000, 0.000000], [0.504373, -0.209054, 0.160814, 0.106033, -0.010670, -0.521820, 0.626097, -0.019801, 0.000000, 0.000000], [-0.035479, 0.229163, -0.431881, 0.187232, 0.008853, 0.546143, 0.643202, 0.112206, 0.000000, 0.000000], [-0.089723, -0.561153, 0.180000, 0.312694, 0.028909, 0.172634, -0.047232, 0.716945, 0.000000, 0.000000], [0.644663, -0.303003, 0.084752, -0.180728, -0.268396, 0.547113, -0.167549, -0.230893, 0.000000, 0.000000], [0.183578, 0.009755, -0.083589, 0.814985, 0.342875, 0.020061, -0.249338, -0.338941, 0.000000, 0.000000], [-0.165555, -0.233225, 0.357240, -0.275717, 0.738655, 0.244749, 0.219194, -0.246978, 0.000000, 0.000000]]
fourier: [[16.183405, 16.686601, 18.450252, 20.906429, 41.879114], [18.674619, 18.895879, 19.222750, 20.685002, 92.732571], [16.391959, 17.660251, 20.235405, 21.270279, 55.522365], [9.183817, 9.274403, 9.316832, 9.326382, 104.331342], [11.145376, 13.890921, 14.416360, 16.116544, 98.255063], [21.671875, 23.156645, 24.216991, 25.875462, 59.208553], [9.856995, 10.054898, 10.768805, 11.789167, 12.424952], [8.427754, 9.656595, 11.489484, 11.518855, 81.116249]]
### 4
mean: [1.965786, 0.342867, 0.672890, -1.490903, 0.385114, 1.375427, 0.563991, 0.399412]
std: [1.338047, 0.967150, 1.297991, 0.637964, 0.687866, 0.836184, 1.287944, 0.528807]
pca: [[-0.456556, 0.599479, 0.271549, 0.270210, -0.312162, -0.299238, 0.308704, 0.056065, 0.000000, 0.000000], [0.374398, 0.164246, 0.047611, 0.525991, -0.063148, -0.189722, -0.408258, -0.589288, 0.000000, 0.000000], [0.501884, 0.248055, 0.299760, -0.048929, -0.071816, -0.184735, -0.333023, 0.666440, 0.000000, 0.000000], [-0.085084, -0.461549, 0.442693, 0.624383, -0.040493, 0.360199, 0.101202, 0.228643, 0.000000, 0.000000], [0.264065, 0.114766, 0.232749, 0.069441, 0.758578, -0.202315, 0.486287, -0.072507, 0.000000, 0.000000], [-0.257598, 0.434966, -0.343537, 0.279491, 0.450203, 0.439873, -0.325497, 0.214928, 0.000000, 0.000000], [0.493789, 0.309237, -0.168272, 0.023002, -0.328515, 0.548784, 0.468124, -0.058944, 0.000000, 0.000000], [-0.111089, 0.202721, 0.661556, -0.417859, 0.075657, 0.418340, -0.235197, -0.313451, 0.000000, 0.000000]]
fourier: [[19.651043, 20.205064, 22.275943, 27.531341, 176.920763], [14.661512, 14.770594, 15.102789, 17.341314, 30.858024], [20.050005, 22.278440, 22.807344, 23.035943, 60.560100], [9.562547, 10.382760, 10.762725, 12.416434, 134.181264], [10.896149, 11.687761, 12.209279, 12.836454, 34.660226], [12.448264, 12.882612, 13.816439, 15.452794, 123.788417], [20.401294, 20.976520, 21.680737, 21.901102, 50.759220], [7.287555, 7.629049, 10.024082, 12.390247, 35.947053]]
### 6
mean: [0.395904, 0.557627, 1.983873, 1.419836, 1.852559, -0.944147, 0.559218, -1.347996]
std: [0.996573, 1.628998, 1.158618, 1.988773, 1.305951, 0.521135, 1.328280, 0.387100]
pca: [[-0.264362, 0.373405, 0.532386, -0.105664, -0.313230, -0.418064, 0.471321, 0.032371, 0.000000, 0.000000], [-0.466615, 0.328653, 0.169763, 0.191534, 0.644957, -0.017597, -0.281037, 0.336885, 0.000000, 0.000000], [0.286847, 0.575524, -0.235840, 0.215164, 0.313273, 0.204590, 0.436209, -0.392809, 0.000000, 0.000000], [0.581825, 0.005071, 0.621896, 0.322128, 0.082933, -0.124687, -0.352753, -0.155158, 0.000000, 0.000000], [0.358519, 0.429663, 0.055764, -0.419900, -0.180481, 0.385787, -0.112630, 0.559766, 0.000000, 0.000000], [-0.133448, -0.227422, 0.235141, 0.563228, -0.185865, 0.580526, 0.339036, 0.267303, 0.000000, 0.000000], [-0.381069, 0.258910, 0.170067, -0.106798, -0.308653, 0.438739, -0.413991, -0.536913, 0.000000, 0.000000], [0.004945, -0.343418, 0.397551, -0.545105, 0.467454, 0.298621, 0.291791, -0.184453, 0.000000, 0.000000]]
fourier: [[15.482999, 16.441359, 16.499569, 20.469264, 35.631393], [26.879963, 27.035810, 27.371384, 33.550730, 50.186426], [16.857682, 18.836438, 19.378566, 23.979031, 178.548618], [32.569110, 34.295355, 35.233503, 39.583083, 127.785276], [20.010277, 20.787780, 21.785080, 26.181152, 166.730329], [7.569773, 7.743265, 8.261227, 11.283722, 84.973234], [21.890834, 21.903497, 22.376303, 27.569941, 50.329578], [6.254522, 6.898293, 6.971613, 8.114940, 121.319682]]
### 8
mean: [-2.206645]
std: [2.982877]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.614970, 51.244264, 56.115589, 58.784107, 198.598090]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.105991, -0.117977, 0.824793, 0.732361, 1.302894, -2.798357, 1.155870, 0.872002]
std: [2.274569, 1.934959, 1.133582, 1.127743, 1.471016, 1.689938, 1.577013, 0.707951]
pca: [[0.673437, -0.372191, 0.175699, 0.047479, 0.208386, -0.554666, 0.011228, 0.153709, 0.000000, 0.000000], [0.175201, 0.694414, -0.366731, -0.429848, 0.252595, -0.303391, -0.103334, 0.036124, 0.000000, 0.000000], [-0.252181, -0.291529, -0.038162, -0.452308, 0.335812, -0.105692, 0.655796, -0.302271, 0.000000, 0.000000], [-0.177848, 0.303939, 0.135028, 0.656725, 0.315985, -0.326897, 0.102159, -0.457521, 0.000000, 0.000000], [-0.231855, -0.328308, -0.540190, 0.209662, 0.579587, 0.080100, -0.269145, 0.296510, 0.000000, 0.000000], [0.528495, 0.187440, 0.014973, 0.158215, 0.340453, 0.663916, 0.321443, -0.016855, 0.000000, 0.000000], [-0.285983, 0.189439, 0.673765, -0.119626, 0.386388, 0.015771, -0.027660, 0.513564, 0.000000, 0.000000], [-0.075573, 0.151946, -0.262605, 0.306277, -0.281123, -0.186594, 0.610051, 0.567825, 0.000000, 0.000000]]
fourier: [[33.372924, 36.491010, 43.387495, 46.606479, 279.539140], [27.926625, 31.279411, 36.548049, 39.614586, 41.602509], [19.466324, 20.628438, 23.023933, 23.443853, 74.231366], [18.304626, 18.646691, 20.601326, 22.329937, 65.912482], [23.247723, 23.837171, 24.332591, 27.505317, 117.260493], [27.049220, 28.882549, 33.322012, 35.957519, 251.852100], [25.305071, 28.661502, 29.849112, 31.486295, 104.028305], [10.330911, 10.745899, 11.528322, 12.530783, 78.480164]]
### 2
mean: [0.465323, 1.030362, 0.616915, -1.159237, 1.091723, 0.657873, 0.138055, 0.901292]
std: [1.052538, 1.103547, 1.078171, 0.525216, 0.714703, 1.377315, 0.640337, 0.599611]
pca: [[0.167547, 0.621656, 0.692125, 0.140473, -0.035109, 0.174458, 0.023222, 0.233441, 0.000000, 0.000000], [-0.481173, -0.236920, 0.366594, 0.251610, -0.512375, 0.097758, 0.230729, -0.435111, 0.000000, 0.000000], [0.504373, -0.209054, 0.160814, 0.106033, -0.010670, -0.521820, 0.626097, -0.019801, 0.000000, 0.000000], [-0.035479, 0.229163, -0.431881, 0.187232, 0.008853, 0.546143, 0.643202, 0.112206, 0.000000, 0.000000], [-0.089723, -0.561153, 0.180000, 0.312694, 0.028909, 0.172634, -0.047232, 0.716945, 0.000000, 0.000000], [0.644663, -0.303003, 0.084752, -0.180728, -0.268396, 0.547113, -0.167549, -0.230893, 0.000000, 0.000000], [0.183578, 0.009755, -0.083589, 0.814985, 0.342875, 0.020061, -0.249338, -0.338941, 0.000000, 0.000000], [-0.165555, -0.233225, 0.357240, -0.275717, 0.738655, 0.244749, 0.219194, -0.246978, 0.000000, 0.000000]]
fourier: [[16.183405, 16.686601, 18.450252, 20.906429, 41.879114], [18.674619, 18.895879, 19.222750, 20.685002, 92.732571], [16.391959, 17.660251, 20.235405, 21.270279, 55.522365], [9.183817, 9.274403, 9.316832, 9.326382, 104.331342], [11.145376, 13.890921, 14.416360, 16.116544, 98.255063], [21.671875, 23.156645, 24.216991, 25.875462, 59.208553], [9.856995, 10.054898, 10.768805, 11.789167, 12.424952], [8.427754, 9.656595, 11.489484, 11.518855, 81.116249]]
### 4
mean: [1.965786, 0.342867, 0.672890, -1.490903, 0.385114, 1.375427, 0.563991, 0.399412]
std: [1.338047, 0.967150, 1.297991, 0.637964, 0.687866, 0.836184, 1.287944, 0.528807]
pca: [[-0.456556, 0.599479, 0.271549, 0.270210, -0.312162, -0.299238, 0.308704, 0.056065, 0.000000, 0.000000], [0.374398, 0.164246, 0.047611, 0.525991, -0.063148, -0.189722, -0.408258, -0.589288, 0.000000, 0.000000], [0.501884, 0.248055, 0.299760, -0.048929, -0.071816, -0.184735, -0.333023, 0.666440, 0.000000, 0.000000], [-0.085084, -0.461549, 0.442693, 0.624383, -0.040493, 0.360199, 0.101202, 0.228643, 0.000000, 0.000000], [0.264065, 0.114766, 0.232749, 0.069441, 0.758578, -0.202315, 0.486287, -0.072507, 0.000000, 0.000000], [-0.257598, 0.434966, -0.343537, 0.279491, 0.450203, 0.439873, -0.325497, 0.214928, 0.000000, 0.000000], [0.493789, 0.309237, -0.168272, 0.023002, -0.328515, 0.548784, 0.468124, -0.058944, 0.000000, 0.000000], [-0.111089, 0.202721, 0.661556, -0.417859, 0.075657, 0.418340, -0.235197, -0.313451, 0.000000, 0.000000]]
fourier: [[19.651043, 20.205064, 22.275943, 27.531341, 176.920763], [14.661512, 14.770594, 15.102789, 17.341314, 30.858024], [20.050005, 22.278440, 22.807344, 23.035943, 60.560100], [9.562547, 10.382760, 10.762725, 12.416434, 134.181264], [10.896149, 11.687761, 12.209279, 12.836454, 34.660226], [12.448264, 12.882612, 13.816439, 15.452794, 123.788417], [20.401294, 20.976520, 21.680737, 21.901102, 50.759220], [7.287555, 7.629049, 10.024082, 12.390247, 35.947053]]
### 6
mean: [0.395904, 0.557627, 1.983873, 1.419836, 1.852559, -0.944147, 0.559218, -1.347996]
std: [0.996573, 1.628998, 1.158618, 1.988773, 1.305951, 0.521135, 1.328280, 0.387100]
pca: [[-0.264362, 0.373405, 0.532386, -0.105664, -0.313230, -0.418064, 0.471321, 0.032371, 0.000000, 0.000000], [-0.466615, 0.328653, 0.169763, 0.191534, 0.644957, -0.017597, -0.281037, 0.336885, 0.000000, 0.000000], [0.286847, 0.575524, -0.235840, 0.215164, 0.313273, 0.204590, 0.436209, -0.392809, 0.000000, 0.000000], [0.581825, 0.005071, 0.621896, 0.322128, 0.082933, -0.124687, -0.352753, -0.155158, 0.000000, 0.000000], [0.358519, 0.429663, 0.055764, -0.419900, -0.180481, 0.385787, -0.112630, 0.559766, 0.000000, 0.000000], [-0.133448, -0.227422, 0.235141, 0.563228, -0.185865, 0.580526, 0.339036, 0.267303, 0.000000, 0.000000], [-0.381069, 0.258910, 0.170067, -0.106798, -0.308653, 0.438739, -0.413991, -0.536913, 0.000000, 0.000000], [0.004945, -0.343418, 0.397551, -0.545105, 0.467454, 0.298621, 0.291791, -0.184453, 0.000000, 0.000000]]
fourier: [[15.482999, 16.441359, 16.499569, 20.469264, 35.631393], [26.879963, 27.035810, 27.371384, 33.550730, 50.186426], [16.857682, 18.836438, 19.378566, 23.979031, 178.548618], [32.569110, 34.295355, 35.233503, 39.583083, 127.785276], [20.010277, 20.787780, 21.785080, 26.181152, 166.730329], [7.569773, 7.743265, 8.261227, 11.283722, 84.973234], [21.890834, 21.903497, 22.376303, 27.569941, 50.329578], [6.254522, 6.898293, 6.971613, 8.114940, 121.319682]]
### 8
mean: [-2.206645]
std: [2.982877]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.614970, 51.244264, 56.115589, 58.784107, 198.598090]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.483735, -0.491541, -0.036435, -0.48518, -0.430504], [-0.024143, 0.386833, -0.719738, 0.434947, -0.289055], [0.105739, -0.344387, 0.439528, 0.23218, 0.172892], [0.166321, 0.573865, -0.107307, -0.125782, 0.026243], [-0.43062, 0.044798, 0.447831, 0.13534, 0.507715], [-0.31739, 0.079725, -0.438748, -0.237109, -0.445633], [0.734564, 0.042164, 0.108753, 0.009985, -0.271387], [-0.126146, 0.328349, -0.142072, 0.039174, 0.215211]], "network.0.bias": [0.039195, 0.134406, -0.308502, -0.058806, -0.094732, -0.574083, 0.25104, 0.377996], "network.2.weight": [[-0.071417, 0.6626, -0.024695, 0.561098, 0.030541, 0.281514, -0.259433, 0.157486], [-0.36018, -0.275711, 0.338782, 0.243357, -0.270664, 0.056027, 0.499451, 0.207169], [0.026481, 0.459615, 0.138452, -0.151517, 0.502483, 0.197928, -0.327662, -0.104215], [-0.308109, 0.025596, -0.016742, -0.203356, -0.326627, -0.027454, -0.052189, -0.124576], [-0.139196, -0.088372, 0.295671, -0.353891, 0.157386, 0.185197, 0.421795, 0.247279], [-0.053237, 0.288031, 0.306903, -0.119981, 0.454841, 0.141456, -0.595717, 0.070056], [0.247442, 0.611501, 0.131556, -0.573344, 0.06917, -0.064576, 0.174754, -0.060647], [-0.268393, -0.278212, -0.248054, -0.106952, 0.25375, 0.103527, 0.418964, 0.471226]], "network.2.bias": [-0.240709, 0.253487, 0.119916, -0.351126, 0.191327, 0.325589, -0.146599, 0.097127], "network.4.weight": [[0.472823, 0.079943, 0.762337, 0.12519, 0.130076, 0.568982, 0.518346, 0.069279], [-0.477519, 0.376371, -0.262061, -0.288586, 0.008257, 0.018964, -0.321071, 0.289939], [-0.564357, 0.536696, -0.167642, 0.123847, 0.300315, -0.297019, -0.207786, 0.105411], [-0.381131, -0.2612, 0.000848, -0.150578, -0.268886, 0.018251, 0.159916, -0.376498], [-0.282188, 0.183607, -0.00292, -0.028912, 0.336456, -0.282913, -0.254106, -0.019236], [0.548415, -0.091074, 0.029931, 0.053187, 0.10647, 0.561412, 0.046803, 0.460011], [-0.381636, 0.482562, -0.513663, -0.344913, 0.113526, -0.033354, -0.257072, 0.54504], [0.016777, 0.061264, 0.395788, -0.1041, 0.42329, -0.099342, 0.510123, -0.364804]], "network.4.bias": [0.051361, 0.268162, 0.521196, -0.428833, 0.368955, 0.0297, 0.214394, -0.203118], "network.6.weight": [[-0.053855, 0.224956, 0.249178, -0.472967, 0.357116, 0.111763, 0.349264, -0.469689], [-0.148398, 0.393988, 0.34411, -0.139321, 0.237551, -0.314707, 0.557339, -0.465039], [0.671783, 0.131384, -0.120188, 0.005344, -0.071637, 0.203527, 0.186927, 0.422347], [0.612938, -0.311637, -0.542804, 0.021114, -0.480069, 0.434611, -0.119235, 0.100363], [0.483805, -0.217773, -0.049767, 0.164065, -0.139957, 0.507109, 0.04681, 0.388857], [-0.228126, 0.352602, 0.105652, -0.081566, -0.18236, -0.126499, -0.240213, -0.291854], [-0.23998, 0.289876, 0.513737, -0.590373, 0.23062, -0.065358, 0.202961, -0.384103], [-0.397948, -0.23731, -0.11231, 0.19052, -0.308741, 0.200029, -0.021962, -0.031878]], "network.6.bias": [-0.2436, 0.405291, 0.117358, 0.559046, 0.229267, -0.200708, 0.400033, -0.424786], "network.8.weight": [[0.094879, 0.389215, -0.391427, -0.807569, -0.342981, 0.001178, 0.429465, -0.3088]], "network.8.bias": [-0.218334]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6975021660327911, "train_acc": 0.465, "val_loss": 0.6671959161758423, "val_acc": 0.72}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6571891009807587, "train_acc": 0.655, "val_loss": 0.6217471957206726, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6050741672515869, "train_acc": 0.735, "val_loss": 0.5013894438743591, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4609823524951935, "train_acc": 0.855, "val_loss": 0.40058326721191406, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.31649017333984375, "train_acc": 0.905, "val_loss": 0.33652302622795105, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3045481741428375, "train_acc": 0.925, "val_loss": 0.35637933015823364, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.265900369733572, "train_acc": 0.93, "val_loss": 0.3092324137687683, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.31097590923309326, "train_acc": 0.93, "val_loss": 0.2758844494819641, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2684581130743027, "train_acc": 0.925, "val_loss": 0.24226735532283783, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2187628224492073, "train_acc": 0.935, "val_loss": 0.2269117385149002, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.23091285675764084, "train_acc": 0.92, "val_loss": 0.23307880759239197, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.24467622488737106, "train_acc": 0.915, "val_loss": 0.2232564091682434, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6671959161758423, "final_val_loss": 0.6217471957206726, "initial_val_acc": 0.72, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.5013894438743591, "final_val_loss": 0.2232564091682434, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
55
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.86, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8445, "learning_rate": 0.09004911743914298, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.6.weight": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.848563, -0.822293, 3.447644, -0.367221, -1.674157, 0.814802, 2.309455, 2.659211]
std: [1.820649, 1.760032, 2.329041, 2.414995, 3.202858, 1.461177, 2.282650, 1.792110]
pca: [[-0.208559, -0.376276, -0.229765, 0.605365, -0.089251, 0.033235, 0.604506, 0.145478, 0.000000, 0.000000], [-0.099654, -0.445780, 0.230314, -0.081111, 0.128793, 0.307031, -0.314793, 0.722341, 0.000000, 0.000000], [-0.135509, 0.611597, -0.118082, 0.356284, 0.007815, 0.664160, -0.126569, 0.097545, 0.000000, 0.000000], [0.279940, 0.196161, 0.820570, 0.143747, -0.273604, -0.005795, 0.321178, 0.105400, 0.000000, 0.000000], [0.730742, 0.145093, -0.223991, 0.248207, 0.446616, -0.204714, 0.013071, 0.302722, 0.000000, 0.000000], [0.084384, 0.250939, -0.356685, -0.494491, -0.453749, -0.005615, 0.365767, 0.467395, 0.000000, 0.000000], [-0.443842, 0.353995, 0.049394, 0.269287, -0.041930, -0.648741, -0.238659, 0.350935, 0.000000, 0.000000], [-0.334280, 0.194504, 0.164467, -0.317348, 0.702434, 0.026089, 0.474752, 0.056406, 0.000000, 0.000000]]
fourier: [[28.434847, 29.076894, 32.017758, 34.723402, 76.370705], [27.015189, 29.470018, 29.749613, 34.009470, 74.006404], [35.262088, 35.784101, 38.622301, 46.743534, 310.288008], [34.819480, 35.345849, 36.343601, 39.295055, 40.643632], [46.812955, 47.918608, 52.052772, 55.789827, 150.674169], [23.787710, 25.491706, 25.722164, 28.818513, 73.332145], [33.753652, 36.910892, 40.385497, 47.868541, 207.850960], [27.863821, 30.426447, 31.648389, 33.578367, 239.328976]]
### 2
mean: [-6.809834, -4.641378, -2.000530, -3.558130, -0.138262, -9.789667, 0.987141, -1.396281]
std: [4.544115, 3.423582, 2.536713, 3.360862, 1.329448, 5.560476, 1.785716, 2.659447]
pca: [[0.527076, 0.069437, -0.077318, -0.091096, 0.699899, -0.132399, -0.218766, -0.384507, 0.000000, 0.000000], [0.388802, 0.154749, -0.085797, 0.397841, 0.041206, 0.141641, -0.357855, 0.713742, 0.000000, 0.000000], [0.140394, -0.514708, -0.503568, 0.457983, 0.005816, 0.342906, 0.311910, -0.192694, 0.000000, 0.000000], [0.339145, 0.407116, -0.225582, 0.290296, -0.507734, -0.482485, 0.087648, -0.292936, 0.000000, 0.000000], [-0.068305, -0.165174, 0.531837, 0.471056, -0.157421, 0.165172, -0.500890, -0.400442, 0.000000, 0.000000], [0.615343, -0.385053, 0.493230, -0.230920, -0.239410, -0.022126, 0.324037, 0.116967, 0.000000, 0.000000], [-0.141627, 0.255814, 0.391508, 0.495149, 0.393442, -0.130156, 0.580322, 0.086827, 0.000000, 0.000000], [0.181448, 0.547334, 0.052812, -0.137892, -0.117133, 0.753207, 0.162626, -0.195476, 0.000000, 0.000000]]
fourier: [[68.308552, 68.754555, 82.296733, 88.853096, 612.885031], [50.240787, 55.041326, 56.931967, 65.635060, 417.724022], [36.924087, 41.571400, 43.187797, 43.649220, 180.047691], [50.866584, 56.073485, 57.106942, 58.484903, 320.231682], [17.139988, 17.505099, 19.333791, 21.990753, 25.689840], [83.301465, 92.218380, 110.201112, 116.445805, 881.070064], [26.245759, 32.497437, 33.686244, 34.215581, 88.842710], [44.831309, 46.487650, 46.666036, 50.894422, 125.665285]]
### 4
mean: [0.127457, -0.609287, -0.273997, -0.261438, 0.176573, 0.352162, -1.535797, -1.139139]
std: [1.265495, 1.163263, 0.850926, 0.724071, 1.099009, 1.534451, 1.171409, 0.742039]
pca: [[-0.479006, 0.006261, 0.510014, -0.058876, 0.578068, -0.370018, -0.097850, 0.162121, 0.000000, 0.000000], [0.321917, 0.476155, 0.586589, -0.012495, -0.235881, -0.148605, 0.481881, -0.124380, 0.000000, 0.000000], [-0.293902, 0.206755, -0.279187, 0.336716, 0.404612, 0.246324, 0.496834, -0.456421, 0.000000, 0.000000], [-0.208838, 0.254746, 0.018745, 0.815969, -0.296222, -0.113102, -0.223033, 0.273955, 0.000000, 0.000000], [0.415667, -0.090667, -0.239787, 0.149967, 0.368725, -0.144321, 0.409805, 0.643651, 0.000000, 0.000000], [0.584660, -0.090266, 0.074628, 0.321586, 0.366353, -0.227952, -0.390885, -0.449523, 0.000000, 0.000000], [-0.004325, 0.708862, -0.458559, -0.299025, 0.080810, -0.377251, -0.220971, 0.011293, 0.000000, 0.000000], [0.149350, 0.383067, 0.210141, -0.043260, 0.286422, 0.743254, -0.303429, 0.241640, 0.000000, 0.000000]]
fourier: [[17.823318, 20.363781, 21.429444, 21.845351, 23.228454], [16.036234, 17.351708, 18.252579, 21.107172, 54.835822], [13.266369, 14.837689, 16.166346, 18.005526, 24.659738], [11.120953, 11.187650, 13.936232, 15.998393, 23.529464], [16.043998, 16.749359, 17.539874, 19.086122, 20.742807], [23.292355, 24.598688, 26.790569, 28.962090, 31.694611], [17.198516, 18.020335, 19.701857, 20.651990, 138.221772], [9.902611, 10.045924, 10.098160, 12.448116, 102.522496]]
### 6
mean: [-0.217120, 0.704727, -0.069929, -0.198975, -0.453018, -0.797487, -0.202793, -0.417459]
std: [0.331142, 1.341798, 1.103469, 0.186829, 1.999344, 1.255812, 0.767478, 1.039136]
pca: [[-0.075736, 0.266237, -0.540430, -0.134216, 0.296272, 0.555822, 0.410345, -0.219556, 0.000000, 0.000000], [-0.428667, -0.114836, -0.057999, 0.207148, 0.179911, 0.313483, -0.152291, 0.776500, 0.000000, 0.000000], [-0.309835, 0.680106, 0.259365, 0.104300, -0.313675, -0.192459, 0.449863, 0.159689, 0.000000, 0.000000], [0.012030, -0.136807, 0.772275, -0.224757, 0.381906, 0.340706, 0.259273, -0.071132, 0.000000, 0.000000], [0.639680, 0.089001, 0.100966, 0.375753, -0.398595, 0.491395, 0.031323, 0.173713, 0.000000, 0.000000], [0.373300, 0.599398, 0.020716, -0.283384, 0.416505, -0.098538, -0.429052, 0.231002, 0.000000, 0.000000], [-0.237933, 0.222017, 0.141848, 0.686088, 0.263104, 0.108934, -0.352350, -0.444993, 0.000000, 0.000000], [0.330471, -0.134834, -0.100741, 0.430661, 0.483769, -0.420267, 0.479174, 0.191642, 0.000000, 0.000000]]
fourier: [[4.929284, 4.953650, 5.191505, 5.445738, 19.540797], [19.675904, 20.863538, 23.877849, 28.110262, 63.425457], [16.239206, 16.456499, 17.329860, 17.867314, 20.051488], [2.926300, 3.149773, 3.237631, 3.289689, 17.907780], [29.308308, 31.167564, 34.903569, 40.771621, 41.918137], [19.098173, 19.459117, 22.285970, 26.731583, 71.773850], [11.869231, 12.590450, 12.804413, 14.471418, 18.251354], [15.580048, 16.547954, 17.822913, 21.097328, 37.571350]]
### 8
mean: [-0.080734, 0.887405, -0.184288, 0.040015, 0.557171, -0.206806, 0.187712, -0.312912]
std: [0.383074, 1.998756, 1.379326, 1.647134, 0.269673, 0.340963, 1.016303, 0.691545]
pca: [[0.074996, 0.384254, 0.035759, 0.326425, 0.792199, 0.298709, 0.095957, 0.113488, 0.000000, 0.000000], [0.633258, -0.279865, 0.677544, -0.011898, -0.039303, 0.188849, 0.155640, -0.004469, 0.000000, 0.000000], [-0.439862, 0.005187, 0.241016, 0.035430, -0.287001, 0.590002, -0.019710, 0.562397, 0.000000, 0.000000], [-0.521655, -0.245917, 0.275950, -0.360830, 0.281072, 0.149240, 0.326866, -0.502930, 0.000000, 0.000000], [-0.011466, -0.340389, -0.132633, -0.173532, 0.235823, -0.376671, 0.532410, 0.596108, 0.000000, 0.000000], [0.062340, -0.350750, -0.399019, 0.562596, -0.192457, 0.326737, 0.443815, -0.237885, 0.000000, 0.000000], [-0.304780, -0.438617, 0.310037, 0.562284, 0.169298, -0.348697, -0.388449, 0.035976, 0.000000, 0.000000], [-0.175639, 0.531269, 0.363988, 0.314740, -0.296970, -0.366751, 0.477507, -0.068147, 0.000000, 0.000000]]
fourier: [[5.704504, 5.950032, 6.037136, 6.231775, 7.266018], [29.419108, 32.474577, 37.482867, 39.944658, 79.866474], [20.337360, 21.215510, 21.824565, 25.920525, 25.950480], [24.321579, 25.758581, 26.926594, 28.954909, 29.822572], [3.837930, 3.961597, 4.042361, 4.080319, 50.145395], [5.207995, 5.233910, 5.703048, 6.090946, 18.612573], [14.983291, 15.270633, 16.894042, 17.393779, 17.752165], [10.964935, 11.404315, 12.694619, 14.102210, 28.162072]]
### 10
mean: [-0.513525]
std: [1.275638]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.630924, 19.997247, 23.813902, 23.987523, 46.217265]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.079962,
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[
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[
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[
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],
"network.2.bias": [
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"network.4.bias": [
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"network.6.weight": [
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"network.6.bias": [
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"network.8.weight": [
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0.185529,
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],
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],
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"network.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.848563, -0.822293, 3.447644, -0.367221, -1.674157, 0.814802, 2.309455, 2.659211]
std: [1.820649, 1.760032, 2.329041, 2.414995, 3.202858, 1.461177, 2.282650, 1.792110]
pca: [[-0.208559, -0.376276, -0.229765, 0.605365, -0.089251, 0.033235, 0.604506, 0.145478, 0.000000, 0.000000], [-0.099654, -0.445780, 0.230314, -0.081111, 0.128793, 0.307031, -0.314793, 0.722341, 0.000000, 0.000000], [-0.135509, 0.611597, -0.118082, 0.356284, 0.007815, 0.664160, -0.126569, 0.097545, 0.000000, 0.000000], [0.279940, 0.196161, 0.820570, 0.143747, -0.273604, -0.005795, 0.321178, 0.105400, 0.000000, 0.000000], [0.730742, 0.145093, -0.223991, 0.248207, 0.446616, -0.204714, 0.013071, 0.302722, 0.000000, 0.000000], [0.084384, 0.250939, -0.356685, -0.494491, -0.453749, -0.005615, 0.365767, 0.467395, 0.000000, 0.000000], [-0.443842, 0.353995, 0.049394, 0.269287, -0.041930, -0.648741, -0.238659, 0.350935, 0.000000, 0.000000], [-0.334280, 0.194504, 0.164467, -0.317348, 0.702434, 0.026089, 0.474752, 0.056406, 0.000000, 0.000000]]
fourier: [[28.434847, 29.076894, 32.017758, 34.723402, 76.370705], [27.015189, 29.470018, 29.749613, 34.009470, 74.006404], [35.262088, 35.784101, 38.622301, 46.743534, 310.288008], [34.819480, 35.345849, 36.343601, 39.295055, 40.643632], [46.812955, 47.918608, 52.052772, 55.789827, 150.674169], [23.787710, 25.491706, 25.722164, 28.818513, 73.332145], [33.753652, 36.910892, 40.385497, 47.868541, 207.850960], [27.863821, 30.426447, 31.648389, 33.578367, 239.328976]]
### 2
mean: [-6.809834, -4.641378, -2.000530, -3.558130, -0.138262, -9.789667, 0.987141, -1.396281]
std: [4.544115, 3.423582, 2.536713, 3.360862, 1.329448, 5.560476, 1.785716, 2.659447]
pca: [[0.527076, 0.069437, -0.077318, -0.091096, 0.699899, -0.132399, -0.218766, -0.384507, 0.000000, 0.000000], [0.388802, 0.154749, -0.085797, 0.397841, 0.041206, 0.141641, -0.357855, 0.713742, 0.000000, 0.000000], [0.140394, -0.514708, -0.503568, 0.457983, 0.005816, 0.342906, 0.311910, -0.192694, 0.000000, 0.000000], [0.339145, 0.407116, -0.225582, 0.290296, -0.507734, -0.482485, 0.087648, -0.292936, 0.000000, 0.000000], [-0.068305, -0.165174, 0.531837, 0.471056, -0.157421, 0.165172, -0.500890, -0.400442, 0.000000, 0.000000], [0.615343, -0.385053, 0.493230, -0.230920, -0.239410, -0.022126, 0.324037, 0.116967, 0.000000, 0.000000], [-0.141627, 0.255814, 0.391508, 0.495149, 0.393442, -0.130156, 0.580322, 0.086827, 0.000000, 0.000000], [0.181448, 0.547334, 0.052812, -0.137892, -0.117133, 0.753207, 0.162626, -0.195476, 0.000000, 0.000000]]
fourier: [[68.308552, 68.754555, 82.296733, 88.853096, 612.885031], [50.240787, 55.041326, 56.931967, 65.635060, 417.724022], [36.924087, 41.571400, 43.187797, 43.649220, 180.047691], [50.866584, 56.073485, 57.106942, 58.484903, 320.231682], [17.139988, 17.505099, 19.333791, 21.990753, 25.689840], [83.301465, 92.218380, 110.201112, 116.445805, 881.070064], [26.245759, 32.497437, 33.686244, 34.215581, 88.842710], [44.831309, 46.487650, 46.666036, 50.894422, 125.665285]]
### 4
mean: [0.127457, -0.609287, -0.273997, -0.261438, 0.176573, 0.352162, -1.535797, -1.139139]
std: [1.265495, 1.163263, 0.850926, 0.724071, 1.099009, 1.534451, 1.171409, 0.742039]
pca: [[-0.479006, 0.006261, 0.510014, -0.058876, 0.578068, -0.370018, -0.097850, 0.162121, 0.000000, 0.000000], [0.321917, 0.476155, 0.586589, -0.012495, -0.235881, -0.148605, 0.481881, -0.124380, 0.000000, 0.000000], [-0.293902, 0.206755, -0.279187, 0.336716, 0.404612, 0.246324, 0.496834, -0.456421, 0.000000, 0.000000], [-0.208838, 0.254746, 0.018745, 0.815969, -0.296222, -0.113102, -0.223033, 0.273955, 0.000000, 0.000000], [0.415667, -0.090667, -0.239787, 0.149967, 0.368725, -0.144321, 0.409805, 0.643651, 0.000000, 0.000000], [0.584660, -0.090266, 0.074628, 0.321586, 0.366353, -0.227952, -0.390885, -0.449523, 0.000000, 0.000000], [-0.004325, 0.708862, -0.458559, -0.299025, 0.080810, -0.377251, -0.220971, 0.011293, 0.000000, 0.000000], [0.149350, 0.383067, 0.210141, -0.043260, 0.286422, 0.743254, -0.303429, 0.241640, 0.000000, 0.000000]]
fourier: [[17.823318, 20.363781, 21.429444, 21.845351, 23.228454], [16.036234, 17.351708, 18.252579, 21.107172, 54.835822], [13.266369, 14.837689, 16.166346, 18.005526, 24.659738], [11.120953, 11.187650, 13.936232, 15.998393, 23.529464], [16.043998, 16.749359, 17.539874, 19.086122, 20.742807], [23.292355, 24.598688, 26.790569, 28.962090, 31.694611], [17.198516, 18.020335, 19.701857, 20.651990, 138.221772], [9.902611, 10.045924, 10.098160, 12.448116, 102.522496]]
### 6
mean: [-0.217120, 0.704727, -0.069929, -0.198975, -0.453018, -0.797487, -0.202793, -0.417459]
std: [0.331142, 1.341798, 1.103469, 0.186829, 1.999344, 1.255812, 0.767478, 1.039136]
pca: [[-0.075736, 0.266237, -0.540430, -0.134216, 0.296272, 0.555822, 0.410345, -0.219556, 0.000000, 0.000000], [-0.428667, -0.114836, -0.057999, 0.207148, 0.179911, 0.313483, -0.152291, 0.776500, 0.000000, 0.000000], [-0.309835, 0.680106, 0.259365, 0.104300, -0.313675, -0.192459, 0.449863, 0.159689, 0.000000, 0.000000], [0.012030, -0.136807, 0.772275, -0.224757, 0.381906, 0.340706, 0.259273, -0.071132, 0.000000, 0.000000], [0.639680, 0.089001, 0.100966, 0.375753, -0.398595, 0.491395, 0.031323, 0.173713, 0.000000, 0.000000], [0.373300, 0.599398, 0.020716, -0.283384, 0.416505, -0.098538, -0.429052, 0.231002, 0.000000, 0.000000], [-0.237933, 0.222017, 0.141848, 0.686088, 0.263104, 0.108934, -0.352350, -0.444993, 0.000000, 0.000000], [0.330471, -0.134834, -0.100741, 0.430661, 0.483769, -0.420267, 0.479174, 0.191642, 0.000000, 0.000000]]
fourier: [[4.929284, 4.953650, 5.191505, 5.445738, 19.540797], [19.675904, 20.863538, 23.877849, 28.110262, 63.425457], [16.239206, 16.456499, 17.329860, 17.867314, 20.051488], [2.926300, 3.149773, 3.237631, 3.289689, 17.907780], [29.308308, 31.167564, 34.903569, 40.771621, 41.918137], [19.098173, 19.459117, 22.285970, 26.731583, 71.773850], [11.869231, 12.590450, 12.804413, 14.471418, 18.251354], [15.580048, 16.547954, 17.822913, 21.097328, 37.571350]]
### 8
mean: [-0.080734, 0.887405, -0.184288, 0.040015, 0.557171, -0.206806, 0.187712, -0.312912]
std: [0.383074, 1.998756, 1.379326, 1.647134, 0.269673, 0.340963, 1.016303, 0.691545]
pca: [[0.074996, 0.384254, 0.035759, 0.326425, 0.792199, 0.298709, 0.095957, 0.113488, 0.000000, 0.000000], [0.633258, -0.279865, 0.677544, -0.011898, -0.039303, 0.188849, 0.155640, -0.004469, 0.000000, 0.000000], [-0.439862, 0.005187, 0.241016, 0.035430, -0.287001, 0.590002, -0.019710, 0.562397, 0.000000, 0.000000], [-0.521655, -0.245917, 0.275950, -0.360830, 0.281072, 0.149240, 0.326866, -0.502930, 0.000000, 0.000000], [-0.011466, -0.340389, -0.132633, -0.173532, 0.235823, -0.376671, 0.532410, 0.596108, 0.000000, 0.000000], [0.062340, -0.350750, -0.399019, 0.562596, -0.192457, 0.326737, 0.443815, -0.237885, 0.000000, 0.000000], [-0.304780, -0.438617, 0.310037, 0.562284, 0.169298, -0.348697, -0.388449, 0.035976, 0.000000, 0.000000], [-0.175639, 0.531269, 0.363988, 0.314740, -0.296970, -0.366751, 0.477507, -0.068147, 0.000000, 0.000000]]
fourier: [[5.704504, 5.950032, 6.037136, 6.231775, 7.266018], [29.419108, 32.474577, 37.482867, 39.944658, 79.866474], [20.337360, 21.215510, 21.824565, 25.920525, 25.950480], [24.321579, 25.758581, 26.926594, 28.954909, 29.822572], [3.837930, 3.961597, 4.042361, 4.080319, 50.145395], [5.207995, 5.233910, 5.703048, 6.090946, 18.612573], [14.983291, 15.270633, 16.894042, 17.393779, 17.752165], [10.964935, 11.404315, 12.694619, 14.102210, 28.162072]]
### 10
mean: [-0.513525]
std: [1.275638]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.630924, 19.997247, 23.813902, 23.987523, 46.217265]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828401982784271, "train_acc": 0.56, "val_loss": 0.7498663067817688, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7045318186283112, "train_acc": 0.565, "val_loss": 0.6897405982017517, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.673947274684906, "train_acc": 0.595, "val_loss": 0.8063392639160156, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6130296289920807, "train_acc": 0.62, "val_loss": 0.6445032358169556, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6092286705970764, "train_acc": 0.71, "val_loss": 0.6265305876731873, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5650837421417236, "train_acc": 0.755, "val_loss": 0.6427903771400452, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4883979856967926, "train_acc": 0.82, "val_loss": 0.5458118915557861, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4583684206008911, "train_acc": 0.79, "val_loss": 0.6083488464355469, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5160856992006302, "train_acc": 0.825, "val_loss": 0.4762396216392517, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.44146282970905304, "train_acc": 0.83, "val_loss": 0.5079582333564758, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4759201407432556, "train_acc": 0.795, "val_loss": 0.5932537317276001, "val_acc": 0.66}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4243037700653076, "train_acc": 0.81, "val_loss": 0.4534803032875061, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7498663067817688, "final_val_loss": 0.6897405982017517, "initial_val_acc": 0.54, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.8063392639160156, "final_val_loss": 0.4534803032875061, "initial_val_acc": 0.64, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 11}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
56
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.38, "improved_accuracy": 0.88, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9475, "learning_rate": 0.04550141191540309, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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-0.112456,
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[
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0.707181
],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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],
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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"network.8.weight": [
[
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
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[
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[
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[
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[
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],
"network.10.bias": [
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.320654, -1.101515, 0.086127, -0.080007, 0.322725, 0.983272]
std: [1.892860, 1.929733, 2.140218, 2.140457, 1.975221, 2.882835]
pca: [[-0.351686, 0.441649, -0.065150, 0.146089, 0.638103, -0.498500, 0.000000, 0.000000, 0.000000, 0.000000], [0.188591, 0.817944, 0.396086, 0.061061, -0.350593, 0.108967, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416294, 0.269478, -0.555361, 0.141212, 0.004726, 0.652451, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401062, -0.211829, 0.722417, 0.202509, 0.266043, 0.400753, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390884, -0.130291, -0.032095, 0.631752, -0.551006, -0.355648, 0.000000, 0.000000, 0.000000, 0.000000], [0.594819, -0.038059, -0.086774, 0.717543, 0.309032, 0.163841, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.858847, 28.965132, 32.702740, 35.357737, 44.498715], [27.616370, 33.025304, 36.264639, 43.361772, 99.136353], [33.783065, 37.431739, 38.606232, 41.126544, 47.612913], [30.504380, 31.615590, 31.744767, 32.478788, 41.146657], [30.328138, 31.720443, 32.225254, 35.703066, 38.175482], [48.737543, 49.468990, 52.106756, 53.354041, 88.494469]]
### 2
mean: [0.605363, -0.303652, -1.544684, 0.451194, -1.130289, -0.933370]
std: [1.288239, 1.117215, 1.148924, 2.506965, 0.960364, 0.993435]
pca: [[-0.377321, 0.062435, 0.595143, -0.029454, -0.333461, 0.622472, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291035, 0.276404, 0.583705, 0.236707, 0.257556, -0.613044, 0.000000, 0.000000, 0.000000, 0.000000], [0.205166, 0.669139, -0.015844, -0.503428, -0.465029, -0.200543, 0.000000, 0.000000, 0.000000, 0.000000], [0.785901, -0.280375, 0.543366, -0.088863, 0.023772, -0.006472, 0.000000, 0.000000, 0.000000, 0.000000], [0.182048, 0.544883, -0.009684, -0.014730, 0.692858, 0.435428, 0.000000, 0.000000, 0.000000, 0.000000], [0.282937, 0.310561, -0.097475, 0.825560, -0.354398, 0.082763, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.196951, 22.676320, 24.473768, 26.604176, 54.482699], [18.149262, 19.955310, 23.114836, 23.342836, 27.328699], [16.196145, 16.966521, 20.577562, 21.629861, 139.021573], [38.481410, 40.607425, 41.302213, 42.592817, 53.185574], [13.493476, 14.939224, 16.633258, 17.483891, 101.726022], [12.987205, 15.706190, 18.917376, 22.103795, 84.003258]]
### 4
mean: [1.500684, 1.037020, 0.896095, 1.114938, 0.854836, -0.145051]
std: [1.534969, 1.345411, 1.101250, 1.135276, 0.844403, 1.142299]
pca: [[0.524750, 0.382654, -0.508700, -0.319549, -0.442584, 0.146444, 0.000000, 0.000000, 0.000000, 0.000000], [0.462812, 0.184662, 0.310795, 0.275833, 0.371710, 0.663973, 0.000000, 0.000000, 0.000000, 0.000000], [0.378179, 0.175888, 0.600137, 0.261093, -0.430368, -0.460969, 0.000000, 0.000000, 0.000000, 0.000000], [0.391564, -0.028043, 0.113810, -0.568952, 0.584558, -0.409299, 0.000000, 0.000000, 0.000000, 0.000000], [0.290554, -0.080917, -0.521005, 0.651901, 0.281979, -0.364826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360111, 0.883858, -0.008213, 0.070388, 0.243956, -0.156775, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.865696, 28.895405, 29.596072, 30.018835, 135.061531], [24.079529, 24.183562, 26.212515, 26.660156, 93.331804], [19.600837, 19.662679, 21.261938, 21.666341, 80.648532], [19.745030, 20.071324, 22.653732, 23.015553, 100.344375], [14.854138, 14.955285, 17.135739, 17.323111, 76.935278], [17.891713, 19.427184, 19.891550, 22.918608, 23.668332]]
### 6
mean: [2.809269, -1.208573, 3.588628, -1.407899, -0.409822, 2.252082]
std: [2.711671, 1.455434, 3.458936, 1.263344, 0.146603, 2.354920]
pca: [[0.508146, 0.226532, 0.566167, -0.586087, -0.039679, -0.157650, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271874, -0.313819, 0.672525, 0.144328, 0.384393, 0.454669, 0.000000, 0.000000, 0.000000, 0.000000], [0.648521, -0.074680, -0.289813, 0.167804, 0.662331, 0.151698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228307, 0.862547, 0.127841, 0.261752, 0.331955, -0.094007, 0.000000, 0.000000, 0.000000, 0.000000], [0.016021, 0.303981, -0.240084, -0.313832, -0.200102, 0.843307, 0.000000, 0.000000, 0.000000, 0.000000], [0.441489, 0.090728, 0.263040, 0.663708, -0.511616, 0.159392, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.088493, 48.850604, 54.336089, 54.915849, 252.834240], [24.350574, 26.207713, 29.283472, 29.725371, 108.771578], [60.473197, 62.442824, 69.018660, 69.639894, 322.976567], [22.777913, 23.250237, 23.810097, 24.213042, 126.710876], [2.157243, 2.314952, 2.405388, 2.580523, 36.884024], [40.454238, 42.497887, 47.037768, 47.522710, 202.687409]]
### 8
mean: [7.239990, -0.651170, 4.480945, -2.156151, -1.817186, 5.612186]
std: [7.071480, 0.469803, 4.267757, 1.930118, 1.619696, 5.693597]
pca: [[0.683025, -0.348392, 0.026459, 0.041424, 0.067625, 0.636483, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044854, -0.438493, 0.722984, 0.350526, -0.341587, -0.208460, 0.000000, 0.000000, 0.000000, 0.000000], [0.412159, 0.505258, 0.577497, -0.377713, 0.248913, -0.191605, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186411, -0.196937, 0.124387, 0.328519, 0.895657, -0.029470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156198, 0.613561, 0.161416, 0.580545, -0.117443, 0.471450, 0.000000, 0.000000, 0.000000, 0.000000], [0.549948, 0.125779, -0.318692, 0.536461, -0.028162, -0.539989, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.197491, 128.881323, 139.646186, 143.316356, 651.599103], [8.070506, 8.599635, 8.763268, 9.553663, 58.605322], [74.421665, 77.895547, 83.787733, 86.373902, 403.285052], [33.497027, 35.241949, 37.879437, 39.136504, 194.053608], [27.526175, 29.367082, 32.322399, 32.858113, 163.546695], [98.537355, 103.879644, 112.095895, 115.427093, 505.096758]]
### 10
mean: [6.243388, 5.729709, 8.757847, -1.363147, -2.982805, -2.057367]
std: [6.369342, 5.852663, 8.587949, 1.156499, 2.830994, 1.900977]
pca: [[0.501138, -0.089385, 0.392492, -0.399124, 0.509104, -0.410285, 0.000000, 0.000000, 0.000000, 0.000000], [0.460481, 0.570768, -0.143362, -0.443758, -0.243347, 0.430684, 0.000000, 0.000000, 0.000000, 0.000000], [0.675697, -0.123112, 0.145931, 0.661429, -0.262664, 0.022381, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090968, -0.450382, 0.608434, -0.324546, -0.477203, 0.292636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222728, 0.620418, 0.473245, 0.128543, -0.317484, -0.473490, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149562, 0.251622, 0.458201, 0.290582, 0.532995, 0.579524, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.806419, 116.327196, 124.941208, 129.076607, 561.904910], [101.859384, 106.976508, 114.580505, 118.612771, 515.673840], [149.313467, 156.796762, 168.518868, 174.005338, 788.206246], [20.069394, 21.146058, 22.551579, 23.419818, 122.683264], [48.979097, 51.672006, 55.598971, 57.444700, 268.452502], [32.902806, 34.747064, 37.235048, 38.601600, 185.162995]]
### 12
mean: [-7.430281]
std: [8.323834]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[145.012879, 152.009447, 162.950042, 168.523047, 668.725232]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.13397,
0.178406,
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],
[
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[
-1.177657,
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],
[
-0.654077,
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-0.112456,
0.464871,
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],
[
-0.833535,
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-0.015276,
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0.707181
],
[
1.387163,
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-0.105027,
0.09986,
-0.553365
]
],
"network.0.bias": [
-0.196185,
-0.070297,
-0.061078,
0.002488,
-0.332598,
-0.361959
],
"network.2.weight": [
[
0.495589,
-0.118249,
0.506249,
-0.106338,
0.256872,
-0.208041
],
[
0.30606,
-0.145983,
0.436226,
-0.309319,
0.169754,
-0.273282
],
[
0.118815,
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-0.402904,
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-0.182601
],
[
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],
[
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],
[
-0.219778,
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-0.557357,
0.025145,
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]
],
"network.2.bias": [
0.082923,
-0.338683,
-0.20249,
0.268401,
0.000316,
0.040414
],
"network.4.weight": [
[
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0.175924,
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[
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],
[
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0.07095,
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],
[
-0.171059,
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],
[
-0.056137,
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0.218136,
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],
[
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0.040103,
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0.047827,
0.09703
]
],
"network.4.bias": [
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0.698808,
0.558706,
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],
"network.6.weight": [
[
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[
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[
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0.809818,
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[
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0.078292,
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[
0.050573,
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0.242596,
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],
[
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0.046163,
0.234193,
0.365287,
-0.519229
]
],
"network.6.bias": [
0.611402,
-0.095902,
0.654606,
0.057154,
-0.394956,
0.5006
],
"network.8.weight": [
[
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0.916741,
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],
[
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0.214032,
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],
[
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],
[
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0.140545,
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],
[
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],
[
0.744042,
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0.056114,
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]
],
"network.8.bias": [
0.003294,
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-0.177374,
-0.233127
],
"network.10.weight": [
[
0.398822,
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0.034816
],
[
0.198684,
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0.611898,
-0.325899,
0.302897,
0.326563
],
[
0.392887,
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0.80045,
-0.343682,
-0.253619,
0.42484
],
[
0.146076,
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0.162822,
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-0.508592
],
[
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],
[
-0.275941,
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0.060426,
-0.16554
]
],
"network.10.bias": [
-0.390604,
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-0.138296,
-0.142864
],
"network.12.weight": [
[
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-0.152931,
0.213334,
-0.496592,
-0.181518
]
],
"network.12.bias": [
0.81444
]
}
## Activation Signature
### 0
mean: [-0.320654, -1.101515, 0.086127, -0.080007, 0.322725, 0.983272]
std: [1.892860, 1.929733, 2.140218, 2.140457, 1.975221, 2.882835]
pca: [[-0.351686, 0.441649, -0.065150, 0.146089, 0.638103, -0.498500, 0.000000, 0.000000, 0.000000, 0.000000], [0.188591, 0.817944, 0.396086, 0.061061, -0.350593, 0.108967, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416294, 0.269478, -0.555361, 0.141212, 0.004726, 0.652451, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401062, -0.211829, 0.722417, 0.202509, 0.266043, 0.400753, 0.000000, 0.000000, 0.000000, 0.000000], [-0.390884, -0.130291, -0.032095, 0.631752, -0.551006, -0.355648, 0.000000, 0.000000, 0.000000, 0.000000], [0.594819, -0.038059, -0.086774, 0.717543, 0.309032, 0.163841, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.858847, 28.965132, 32.702740, 35.357737, 44.498715], [27.616370, 33.025304, 36.264639, 43.361772, 99.136353], [33.783065, 37.431739, 38.606232, 41.126544, 47.612913], [30.504380, 31.615590, 31.744767, 32.478788, 41.146657], [30.328138, 31.720443, 32.225254, 35.703066, 38.175482], [48.737543, 49.468990, 52.106756, 53.354041, 88.494469]]
### 2
mean: [0.605363, -0.303652, -1.544684, 0.451194, -1.130289, -0.933370]
std: [1.288239, 1.117215, 1.148924, 2.506965, 0.960364, 0.993435]
pca: [[-0.377321, 0.062435, 0.595143, -0.029454, -0.333461, 0.622472, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291035, 0.276404, 0.583705, 0.236707, 0.257556, -0.613044, 0.000000, 0.000000, 0.000000, 0.000000], [0.205166, 0.669139, -0.015844, -0.503428, -0.465029, -0.200543, 0.000000, 0.000000, 0.000000, 0.000000], [0.785901, -0.280375, 0.543366, -0.088863, 0.023772, -0.006472, 0.000000, 0.000000, 0.000000, 0.000000], [0.182048, 0.544883, -0.009684, -0.014730, 0.692858, 0.435428, 0.000000, 0.000000, 0.000000, 0.000000], [0.282937, 0.310561, -0.097475, 0.825560, -0.354398, 0.082763, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.196951, 22.676320, 24.473768, 26.604176, 54.482699], [18.149262, 19.955310, 23.114836, 23.342836, 27.328699], [16.196145, 16.966521, 20.577562, 21.629861, 139.021573], [38.481410, 40.607425, 41.302213, 42.592817, 53.185574], [13.493476, 14.939224, 16.633258, 17.483891, 101.726022], [12.987205, 15.706190, 18.917376, 22.103795, 84.003258]]
### 4
mean: [1.500684, 1.037020, 0.896095, 1.114938, 0.854836, -0.145051]
std: [1.534969, 1.345411, 1.101250, 1.135276, 0.844403, 1.142299]
pca: [[0.524750, 0.382654, -0.508700, -0.319549, -0.442584, 0.146444, 0.000000, 0.000000, 0.000000, 0.000000], [0.462812, 0.184662, 0.310795, 0.275833, 0.371710, 0.663973, 0.000000, 0.000000, 0.000000, 0.000000], [0.378179, 0.175888, 0.600137, 0.261093, -0.430368, -0.460969, 0.000000, 0.000000, 0.000000, 0.000000], [0.391564, -0.028043, 0.113810, -0.568952, 0.584558, -0.409299, 0.000000, 0.000000, 0.000000, 0.000000], [0.290554, -0.080917, -0.521005, 0.651901, 0.281979, -0.364826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360111, 0.883858, -0.008213, 0.070388, 0.243956, -0.156775, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.865696, 28.895405, 29.596072, 30.018835, 135.061531], [24.079529, 24.183562, 26.212515, 26.660156, 93.331804], [19.600837, 19.662679, 21.261938, 21.666341, 80.648532], [19.745030, 20.071324, 22.653732, 23.015553, 100.344375], [14.854138, 14.955285, 17.135739, 17.323111, 76.935278], [17.891713, 19.427184, 19.891550, 22.918608, 23.668332]]
### 6
mean: [2.809269, -1.208573, 3.588628, -1.407899, -0.409822, 2.252082]
std: [2.711671, 1.455434, 3.458936, 1.263344, 0.146603, 2.354920]
pca: [[0.508146, 0.226532, 0.566167, -0.586087, -0.039679, -0.157650, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271874, -0.313819, 0.672525, 0.144328, 0.384393, 0.454669, 0.000000, 0.000000, 0.000000, 0.000000], [0.648521, -0.074680, -0.289813, 0.167804, 0.662331, 0.151698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.228307, 0.862547, 0.127841, 0.261752, 0.331955, -0.094007, 0.000000, 0.000000, 0.000000, 0.000000], [0.016021, 0.303981, -0.240084, -0.313832, -0.200102, 0.843307, 0.000000, 0.000000, 0.000000, 0.000000], [0.441489, 0.090728, 0.263040, 0.663708, -0.511616, 0.159392, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.088493, 48.850604, 54.336089, 54.915849, 252.834240], [24.350574, 26.207713, 29.283472, 29.725371, 108.771578], [60.473197, 62.442824, 69.018660, 69.639894, 322.976567], [22.777913, 23.250237, 23.810097, 24.213042, 126.710876], [2.157243, 2.314952, 2.405388, 2.580523, 36.884024], [40.454238, 42.497887, 47.037768, 47.522710, 202.687409]]
### 8
mean: [7.239990, -0.651170, 4.480945, -2.156151, -1.817186, 5.612186]
std: [7.071480, 0.469803, 4.267757, 1.930118, 1.619696, 5.693597]
pca: [[0.683025, -0.348392, 0.026459, 0.041424, 0.067625, 0.636483, 0.000000, 0.000000, 0.000000, 0.000000], [-0.044854, -0.438493, 0.722984, 0.350526, -0.341587, -0.208460, 0.000000, 0.000000, 0.000000, 0.000000], [0.412159, 0.505258, 0.577497, -0.377713, 0.248913, -0.191605, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186411, -0.196937, 0.124387, 0.328519, 0.895657, -0.029470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.156198, 0.613561, 0.161416, 0.580545, -0.117443, 0.471450, 0.000000, 0.000000, 0.000000, 0.000000], [0.549948, 0.125779, -0.318692, 0.536461, -0.028162, -0.539989, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[122.197491, 128.881323, 139.646186, 143.316356, 651.599103], [8.070506, 8.599635, 8.763268, 9.553663, 58.605322], [74.421665, 77.895547, 83.787733, 86.373902, 403.285052], [33.497027, 35.241949, 37.879437, 39.136504, 194.053608], [27.526175, 29.367082, 32.322399, 32.858113, 163.546695], [98.537355, 103.879644, 112.095895, 115.427093, 505.096758]]
### 10
mean: [6.243388, 5.729709, 8.757847, -1.363147, -2.982805, -2.057367]
std: [6.369342, 5.852663, 8.587949, 1.156499, 2.830994, 1.900977]
pca: [[0.501138, -0.089385, 0.392492, -0.399124, 0.509104, -0.410285, 0.000000, 0.000000, 0.000000, 0.000000], [0.460481, 0.570768, -0.143362, -0.443758, -0.243347, 0.430684, 0.000000, 0.000000, 0.000000, 0.000000], [0.675697, -0.123112, 0.145931, 0.661429, -0.262664, 0.022381, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090968, -0.450382, 0.608434, -0.324546, -0.477203, 0.292636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.222728, 0.620418, 0.473245, 0.128543, -0.317484, -0.473490, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149562, 0.251622, 0.458201, 0.290582, 0.532995, 0.579524, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.806419, 116.327196, 124.941208, 129.076607, 561.904910], [101.859384, 106.976508, 114.580505, 118.612771, 515.673840], [149.313467, 156.796762, 168.518868, 174.005338, 788.206246], [20.069394, 21.146058, 22.551579, 23.419818, 122.683264], [48.979097, 51.672006, 55.598971, 57.444700, 268.452502], [32.902806, 34.747064, 37.235048, 38.601600, 185.162995]]
### 12
mean: [-7.430281]
std: [8.323834]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[145.012879, 152.009447, 162.950042, 168.523047, 668.725232]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
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90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.963002, 0.243585, 0.13397, 0.178406, -0.02624], [0.245143, 0.267157, -0.462149, 0.085859, -0.844741], [-1.177657, 0.485653, 0.266665, -0.095793, 0.30499], [-0.654077, -0.391929, -0.112456, 0.464871, 0.554326], [-0.833535, 0.267287, -0.015276, 0.170335, 0.707181], [1.387163, 0.168318, -0.105027, 0.09986, -0.553365]], "network.0.bias": [-0.196185, -0.070297, -0.061078, 0.002488, -0.332598, -0.361959], "network.2.weight": [[0.495589, -0.118249, 0.506249, -0.106338, 0.256872, -0.208041], [0.30606, -0.145983, 0.436226, -0.309319, 0.169754, -0.273282], [0.118815, -0.478829, -0.402904, -0.498417, -0.351444, -0.182601], [0.056722, 0.651115, -0.021026, -0.517582, -0.60583, 0.631249], [-0.17083, -0.20263, -0.209063, -0.40527, -0.312582, -0.163284], [-0.219778, 0.037726, -0.505974, -0.557357, 0.025145, -0.029708]], "network.2.bias": [0.082923, -0.338683, -0.20249, 0.268401, 0.000316, 0.040414], "network.4.weight": [[0.12221, -0.461004, 0.175924, 0.844478, -0.046068, 0.124176], [-0.11263, -0.138741, -0.23576, 0.705446, -0.054366, 0.105172], [-0.138688, 0.015807, -0.165458, 0.577967, 0.07095, 0.169042], [-0.171059, -0.188823, -0.03542, 0.561242, -0.170052, 0.154258], [-0.056137, -0.365765, 0.218136, 0.410041, 0.0655, -0.181132], [0.622341, 0.279206, 0.040103, -0.342289, 0.047827, 0.09703]], "network.4.bias": [0.598168, 0.3972, 0.374071, 0.698808, 0.558706, -0.387614], "network.6.weight": [[0.251581, 0.131994, 0.542547, 0.860768, 0.501558, -0.561175], [-0.408274, -0.129802, 0.118735, -0.30911, -0.347261, 0.478215], [0.673486, 0.543308, 0.141027, 0.642929, 0.809818, -0.537131], [-0.550069, 0.325727, -0.472375, -0.431557, 0.078292, -0.371964], [0.050573, -0.013301, -0.244282, 0.242596, -0.058348, -0.211545], [0.260393, 0.888701, 0.046163, 0.234193, 0.365287, -0.519229]], "network.6.bias": [0.611402, -0.095902, 0.654606, 0.057154, -0.394956, 0.5006], "network.8.weight": [[0.814078, -0.716423, 0.916741, -0.126984, -0.115474, 0.729128], [-0.395758, -0.343139, 0.214032, -0.020487, -0.121832, -0.071273], [0.481537, 0.165838, 0.752918, -0.025017, 0.068559, 0.173579], [-0.340629, -0.052518, -0.199945, 0.100844, 0.140545, -0.144388], [-0.322695, 0.524446, -0.247059, 0.212171, -0.275704, 0.057671], [0.744042, -0.282868, 0.554585, -0.051932, 0.056114, 0.766078]], "network.8.bias": [0.003294, -0.113431, -0.01092, -0.133998, -0.177374, -0.233127], "network.10.weight": [[0.398822, 0.284583, 0.789046, -0.250723, 0.002461, 0.034816], [0.198684, -0.389463, 0.611898, -0.325899, 0.302897, 0.326563], [0.392887, -0.144491, 0.80045, -0.343682, -0.253619, 0.42484], [0.146076, -0.094608, 0.162822, -0.09467, -0.033815, -0.508592], [-0.375237, 0.146387, 0.294647, -0.168556, 0.343208, -0.255095], [-0.275941, 0.134394, 0.22911, 0.278845, 0.060426, -0.16554]], "network.10.bias": [-0.390604, -0.305495, -0.081565, -0.284504, -0.138296, -0.142864], "network.12.weight": [[-0.482637, -0.675901, -0.152931, 0.213334, -0.496592, -0.181518]], "network.12.bias": [0.81444]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886482238769531, "train_acc": 0.52, "val_loss": 0.7406059503555298, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6738774478435516, "train_acc": 0.59, "val_loss": 0.7536195516586304, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.647765189409256, "train_acc": 0.59, "val_loss": 0.7443232536315918, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.628062516450882, "train_acc": 0.59, "val_loss": 0.7251414656639099, "val_acc": 0.38}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5756681263446808, "train_acc": 0.59, "val_loss": 0.6643628478050232, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5573342740535736, "train_acc": 0.53, "val_loss": 0.6036741733551025, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5030013769865036, "train_acc": 0.765, "val_loss": 0.5660808086395264, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47314056754112244, "train_acc": 0.79, "val_loss": 0.5501059293746948, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4726457893848419, "train_acc": 0.77, "val_loss": 0.528922975063324, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5092932134866714, "train_acc": 0.745, "val_loss": 0.5529755353927612, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5007575154304504, "train_acc": 0.72, "val_loss": 0.49996674060821533, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4327019453048706, "train_acc": 0.78, "val_loss": 0.4907335340976715, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4400210678577423, "train_acc": 0.79, "val_loss": 0.44855237007141113, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.38129010796546936, "train_acc": 0.83, "val_loss": 0.43291032314300537, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.37806637585163116, "train_acc": 0.835, "val_loss": 0.40062201023101807, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7406059503555298, "final_val_loss": 0.6643628478050232, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6036741733551025, "final_val_loss": 0.40062201023101807, "initial_val_acc": 0.8, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 14}, "improvement": 0.5, "first_improvement_epoch": 4}}
|
57
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3433, "learning_rate": 0.016118345119958435, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.6.weight": [
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]
}
## Activation Signature
### 0
mean: [1.284442, -2.181290, 0.268790, 3.373756, -0.249355, 0.566635, 1.937873, 0.063837]
std: [1.662035, 1.729183, 1.201821, 2.362606, 1.280761, 1.727268, 1.246250, 1.233593]
pca: [[0.408709, 0.102564, -0.084585, 0.801552, 0.154776, -0.122671, 0.264594, -0.252554, 0.000000, 0.000000], [-0.424288, 0.201100, -0.395929, 0.314553, 0.070142, 0.020739, 0.140612, 0.706197, 0.000000, 0.000000], [0.106248, 0.443254, -0.447619, -0.034609, -0.419254, 0.583613, -0.100291, -0.253458, 0.000000, 0.000000], [0.626362, 0.163284, 0.338725, -0.015992, -0.335966, 0.012742, -0.115353, 0.582818, 0.000000, 0.000000], [-0.234969, -0.108229, 0.547956, 0.314306, 0.186243, 0.695320, -0.118926, 0.041625, 0.000000, 0.000000], [-0.238514, 0.746709, 0.311687, 0.070232, 0.108603, -0.327778, -0.381115, -0.137748, 0.000000, 0.000000], [0.245816, 0.364298, 0.009971, -0.391004, 0.622627, 0.217408, 0.463636, 0.063158, 0.000000, 0.000000], [-0.277119, 0.154609, 0.351402, -0.022632, -0.498329, -0.074710, 0.715894, -0.094281, 0.000000, 0.000000]]
fourier: [[27.303976, 27.891457, 30.445443, 31.197487, 115.599744], [27.116776, 27.952809, 31.904096, 33.793120, 196.316103], [19.702817, 22.362939, 23.703750, 24.191102, 26.239897], [36.680850, 37.664652, 40.269348, 48.021779, 303.638027], [18.297698, 18.574778, 22.420820, 22.441929, 29.621054], [26.081422, 26.672525, 35.081422, 35.604696, 50.997163], [20.722699, 21.577906, 23.724086, 26.737366, 174.408514], [18.310358, 19.509043, 20.541089, 21.253925, 23.731042]]
### 2
mean: [0.696458, -1.422944, -1.481273, 1.917964, 2.045145, -0.532457, 0.686738, 2.317587]
std: [0.614650, 0.908625, 0.785232, 1.577089, 1.334557, 0.816567, 0.430538, 1.959853]
pca: [[-0.129496, 0.437278, -0.416935, 0.003552, 0.115614, 0.772244, 0.090598, -0.015377, 0.000000, 0.000000], [-0.261537, -0.190122, 0.547564, 0.483129, -0.218838, 0.403069, -0.171084, -0.350125, 0.000000, 0.000000], [-0.216981, -0.429491, 0.252022, -0.075594, 0.329188, 0.240677, 0.537815, 0.493652, 0.000000, 0.000000], [0.494781, -0.349194, -0.357768, 0.452068, 0.082222, 0.017571, 0.414443, -0.349371, 0.000000, 0.000000], [0.397666, 0.528315, 0.402704, 0.116083, -0.376108, -0.007440, 0.446890, 0.214188, 0.000000, 0.000000], [-0.245864, 0.040186, -0.314662, 0.659713, -0.187518, -0.180512, -0.146185, 0.560879, 0.000000, 0.000000], [-0.039103, 0.402078, 0.229047, 0.327406, 0.780870, -0.228940, -0.020813, -0.120590, 0.000000, 0.000000], [0.634685, -0.154416, 0.145535, 0.024546, 0.192976, 0.312869, -0.529151, 0.369352, 0.000000, 0.000000]]
fourier: [[10.588401, 10.914845, 11.033901, 11.718731, 62.681259], [14.668157, 15.698253, 15.945354, 19.103469, 128.065005], [10.971122, 12.380504, 15.825321, 15.956321, 133.314559], [26.765387, 27.379730, 28.092396, 28.777667, 172.616740], [23.103423, 23.269944, 26.687381, 27.987153, 184.063059], [12.592797, 13.718078, 13.891226, 14.390096, 47.921117], [6.383016, 6.953075, 7.364502, 9.993176, 61.806398], [29.373736, 30.759012, 36.529197, 37.388694, 208.582858]]
### 4
mean: [-0.766687, 1.494430, -0.686912, -1.381656, 0.141396, 1.568065, -0.372585, 0.729247]
std: [0.800081, 2.121706, 0.654946, 1.042903, 0.511742, 1.882328, 0.116219, 1.092663]
pca: [[-0.219797, 0.468458, 0.371338, 0.224222, -0.502594, -0.388037, 0.317518, -0.200195, 0.000000, 0.000000], [0.634097, 0.010020, 0.121005, 0.090069, -0.202171, 0.521261, 0.256400, -0.443553, 0.000000, 0.000000], [-0.179000, 0.401282, 0.081624, 0.654632, 0.240879, 0.389082, -0.402213, 0.023320, 0.000000, 0.000000], [-0.308362, -0.061626, 0.614614, -0.467637, -0.207896, 0.430839, -0.263785, 0.079086, 0.000000, 0.000000], [0.104818, 0.573828, -0.093936, -0.488523, 0.335293, -0.156795, -0.265432, -0.452543, 0.000000, 0.000000], [0.561144, -0.127931, 0.468706, 0.135983, 0.024437, -0.437648, -0.460182, 0.163322, 0.000000, 0.000000], [0.002656, 0.042037, 0.461777, 0.004410, 0.679825, -0.004904, 0.551866, 0.135004, 0.000000, 0.000000], [0.310814, 0.517889, -0.145964, -0.192922, -0.173500, 0.156725, 0.123721, 0.711821, 0.000000, 0.000000]]
fourier: [[12.497645, 13.434477, 15.899309, 16.044235, 69.001834], [34.562382, 37.631047, 37.703695, 37.859716, 134.498668], [10.998744, 11.074138, 12.772578, 12.896961, 61.822109], [17.553924, 18.275287, 19.451679, 19.757500, 124.348997], [8.377236, 9.351451, 10.253787, 11.763465, 12.725658], [28.984638, 32.890259, 33.240033, 33.784287, 141.125846], [1.927401, 2.081835, 2.144898, 2.158988, 33.532663], [18.352562, 19.557154, 21.338746, 21.910840, 65.632227]]
### 6
mean: [2.464427, 1.143447, 1.667943, 0.301175, -0.288976, -0.660976, 1.910623, -0.291637]
std: [2.963027, 1.400506, 1.767601, 0.344730, 0.144671, 0.599990, 2.393661, 0.069709]
pca: [[0.661738, 0.068187, 0.001105, -0.277470, -0.231493, 0.101824, -0.535981, 0.359485, 0.000000, 0.000000], [0.312613, 0.198461, 0.226488, -0.067987, 0.664065, -0.353752, -0.205921, -0.445466, 0.000000, 0.000000], [0.394707, 0.000397, -0.369987, 0.299903, 0.245080, 0.681722, 0.203034, -0.226590, 0.000000, 0.000000], [-0.069143, 0.721827, -0.258280, 0.171626, 0.249795, -0.131528, 0.138556, 0.528323, 0.000000, 0.000000], [-0.025091, 0.394510, -0.397707, -0.611656, -0.294659, -0.022111, 0.159026, -0.445910, 0.000000, 0.000000], [-0.131440, 0.504207, 0.663364, 0.094757, -0.217440, 0.439383, -0.087445, -0.177438, 0.000000, 0.000000], [0.534568, 0.031760, 0.256527, 0.165179, -0.309305, -0.326376, 0.646459, -0.006232, 0.000000, 0.000000], [0.011498, 0.155106, -0.284735, 0.623382, -0.391399, -0.287019, -0.398817, -0.333920, 0.000000, 0.000000]]
fourier: [[50.892761, 51.171223, 51.816568, 51.845304, 221.798403], [23.554270, 23.938725, 24.201734, 24.575908, 102.910226], [30.136166, 30.668019, 30.796181, 31.355228, 150.114820], [5.521984, 6.857714, 7.097604, 7.211954, 27.105778], [2.133091, 2.833253, 2.963398, 2.965711, 26.007878], [9.837818, 11.264035, 11.606539, 11.831814, 59.487847], [41.065869, 41.565144, 41.928268, 41.979141, 171.956094], [1.113688, 1.143821, 1.145312, 1.501177, 26.247355]]
### 8
mean: [-2.162977]
std: [3.376481]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.264160, 58.280491, 59.610744, 59.719601, 194.667904]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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"network.4.bias": [
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[
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],
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.284442, -2.181290, 0.268790, 3.373756, -0.249355, 0.566635, 1.937873, 0.063837]
std: [1.662035, 1.729183, 1.201821, 2.362606, 1.280761, 1.727268, 1.246250, 1.233593]
pca: [[0.408709, 0.102564, -0.084585, 0.801552, 0.154776, -0.122671, 0.264594, -0.252554, 0.000000, 0.000000], [-0.424288, 0.201100, -0.395929, 0.314553, 0.070142, 0.020739, 0.140612, 0.706197, 0.000000, 0.000000], [0.106248, 0.443254, -0.447619, -0.034609, -0.419254, 0.583613, -0.100291, -0.253458, 0.000000, 0.000000], [0.626362, 0.163284, 0.338725, -0.015992, -0.335966, 0.012742, -0.115353, 0.582818, 0.000000, 0.000000], [-0.234969, -0.108229, 0.547956, 0.314306, 0.186243, 0.695320, -0.118926, 0.041625, 0.000000, 0.000000], [-0.238514, 0.746709, 0.311687, 0.070232, 0.108603, -0.327778, -0.381115, -0.137748, 0.000000, 0.000000], [0.245816, 0.364298, 0.009971, -0.391004, 0.622627, 0.217408, 0.463636, 0.063158, 0.000000, 0.000000], [-0.277119, 0.154609, 0.351402, -0.022632, -0.498329, -0.074710, 0.715894, -0.094281, 0.000000, 0.000000]]
fourier: [[27.303976, 27.891457, 30.445443, 31.197487, 115.599744], [27.116776, 27.952809, 31.904096, 33.793120, 196.316103], [19.702817, 22.362939, 23.703750, 24.191102, 26.239897], [36.680850, 37.664652, 40.269348, 48.021779, 303.638027], [18.297698, 18.574778, 22.420820, 22.441929, 29.621054], [26.081422, 26.672525, 35.081422, 35.604696, 50.997163], [20.722699, 21.577906, 23.724086, 26.737366, 174.408514], [18.310358, 19.509043, 20.541089, 21.253925, 23.731042]]
### 2
mean: [0.696458, -1.422944, -1.481273, 1.917964, 2.045145, -0.532457, 0.686738, 2.317587]
std: [0.614650, 0.908625, 0.785232, 1.577089, 1.334557, 0.816567, 0.430538, 1.959853]
pca: [[-0.129496, 0.437278, -0.416935, 0.003552, 0.115614, 0.772244, 0.090598, -0.015377, 0.000000, 0.000000], [-0.261537, -0.190122, 0.547564, 0.483129, -0.218838, 0.403069, -0.171084, -0.350125, 0.000000, 0.000000], [-0.216981, -0.429491, 0.252022, -0.075594, 0.329188, 0.240677, 0.537815, 0.493652, 0.000000, 0.000000], [0.494781, -0.349194, -0.357768, 0.452068, 0.082222, 0.017571, 0.414443, -0.349371, 0.000000, 0.000000], [0.397666, 0.528315, 0.402704, 0.116083, -0.376108, -0.007440, 0.446890, 0.214188, 0.000000, 0.000000], [-0.245864, 0.040186, -0.314662, 0.659713, -0.187518, -0.180512, -0.146185, 0.560879, 0.000000, 0.000000], [-0.039103, 0.402078, 0.229047, 0.327406, 0.780870, -0.228940, -0.020813, -0.120590, 0.000000, 0.000000], [0.634685, -0.154416, 0.145535, 0.024546, 0.192976, 0.312869, -0.529151, 0.369352, 0.000000, 0.000000]]
fourier: [[10.588401, 10.914845, 11.033901, 11.718731, 62.681259], [14.668157, 15.698253, 15.945354, 19.103469, 128.065005], [10.971122, 12.380504, 15.825321, 15.956321, 133.314559], [26.765387, 27.379730, 28.092396, 28.777667, 172.616740], [23.103423, 23.269944, 26.687381, 27.987153, 184.063059], [12.592797, 13.718078, 13.891226, 14.390096, 47.921117], [6.383016, 6.953075, 7.364502, 9.993176, 61.806398], [29.373736, 30.759012, 36.529197, 37.388694, 208.582858]]
### 4
mean: [-0.766687, 1.494430, -0.686912, -1.381656, 0.141396, 1.568065, -0.372585, 0.729247]
std: [0.800081, 2.121706, 0.654946, 1.042903, 0.511742, 1.882328, 0.116219, 1.092663]
pca: [[-0.219797, 0.468458, 0.371338, 0.224222, -0.502594, -0.388037, 0.317518, -0.200195, 0.000000, 0.000000], [0.634097, 0.010020, 0.121005, 0.090069, -0.202171, 0.521261, 0.256400, -0.443553, 0.000000, 0.000000], [-0.179000, 0.401282, 0.081624, 0.654632, 0.240879, 0.389082, -0.402213, 0.023320, 0.000000, 0.000000], [-0.308362, -0.061626, 0.614614, -0.467637, -0.207896, 0.430839, -0.263785, 0.079086, 0.000000, 0.000000], [0.104818, 0.573828, -0.093936, -0.488523, 0.335293, -0.156795, -0.265432, -0.452543, 0.000000, 0.000000], [0.561144, -0.127931, 0.468706, 0.135983, 0.024437, -0.437648, -0.460182, 0.163322, 0.000000, 0.000000], [0.002656, 0.042037, 0.461777, 0.004410, 0.679825, -0.004904, 0.551866, 0.135004, 0.000000, 0.000000], [0.310814, 0.517889, -0.145964, -0.192922, -0.173500, 0.156725, 0.123721, 0.711821, 0.000000, 0.000000]]
fourier: [[12.497645, 13.434477, 15.899309, 16.044235, 69.001834], [34.562382, 37.631047, 37.703695, 37.859716, 134.498668], [10.998744, 11.074138, 12.772578, 12.896961, 61.822109], [17.553924, 18.275287, 19.451679, 19.757500, 124.348997], [8.377236, 9.351451, 10.253787, 11.763465, 12.725658], [28.984638, 32.890259, 33.240033, 33.784287, 141.125846], [1.927401, 2.081835, 2.144898, 2.158988, 33.532663], [18.352562, 19.557154, 21.338746, 21.910840, 65.632227]]
### 6
mean: [2.464427, 1.143447, 1.667943, 0.301175, -0.288976, -0.660976, 1.910623, -0.291637]
std: [2.963027, 1.400506, 1.767601, 0.344730, 0.144671, 0.599990, 2.393661, 0.069709]
pca: [[0.661738, 0.068187, 0.001105, -0.277470, -0.231493, 0.101824, -0.535981, 0.359485, 0.000000, 0.000000], [0.312613, 0.198461, 0.226488, -0.067987, 0.664065, -0.353752, -0.205921, -0.445466, 0.000000, 0.000000], [0.394707, 0.000397, -0.369987, 0.299903, 0.245080, 0.681722, 0.203034, -0.226590, 0.000000, 0.000000], [-0.069143, 0.721827, -0.258280, 0.171626, 0.249795, -0.131528, 0.138556, 0.528323, 0.000000, 0.000000], [-0.025091, 0.394510, -0.397707, -0.611656, -0.294659, -0.022111, 0.159026, -0.445910, 0.000000, 0.000000], [-0.131440, 0.504207, 0.663364, 0.094757, -0.217440, 0.439383, -0.087445, -0.177438, 0.000000, 0.000000], [0.534568, 0.031760, 0.256527, 0.165179, -0.309305, -0.326376, 0.646459, -0.006232, 0.000000, 0.000000], [0.011498, 0.155106, -0.284735, 0.623382, -0.391399, -0.287019, -0.398817, -0.333920, 0.000000, 0.000000]]
fourier: [[50.892761, 51.171223, 51.816568, 51.845304, 221.798403], [23.554270, 23.938725, 24.201734, 24.575908, 102.910226], [30.136166, 30.668019, 30.796181, 31.355228, 150.114820], [5.521984, 6.857714, 7.097604, 7.211954, 27.105778], [2.133091, 2.833253, 2.963398, 2.965711, 26.007878], [9.837818, 11.264035, 11.606539, 11.831814, 59.487847], [41.065869, 41.565144, 41.928268, 41.979141, 171.956094], [1.113688, 1.143821, 1.145312, 1.501177, 26.247355]]
### 8
mean: [-2.162977]
std: [3.376481]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.264160, 58.280491, 59.610744, 59.719601, 194.667904]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7230986654758453, "train_acc": 0.445, "val_loss": 0.7050648331642151, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7055960595607758, "train_acc": 0.445, "val_loss": 0.6865494251251221, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6817843914031982, "train_acc": 0.64, "val_loss": 0.6651254296302795, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6699434220790863, "train_acc": 0.525, "val_loss": 0.6442723274230957, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6421728432178497, "train_acc": 0.705, "val_loss": 0.6048673987388611, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6159441471099854, "train_acc": 0.71, "val_loss": 0.5619660019874573, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5730148255825043, "train_acc": 0.715, "val_loss": 0.520825982093811, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5296345949172974, "train_acc": 0.73, "val_loss": 0.4878237843513489, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.49747368693351746, "train_acc": 0.78, "val_loss": 0.45982491970062256, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4703361839056015, "train_acc": 0.785, "val_loss": 0.42438384890556335, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.44424016773700714, "train_acc": 0.805, "val_loss": 0.3830897808074951, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40719403326511383, "train_acc": 0.85, "val_loss": 0.3563539385795593, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3810824602842331, "train_acc": 0.875, "val_loss": 0.31739917397499084, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7050648331642151, "final_val_loss": 0.6651254296302795, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6442723274230957, "final_val_loss": 0.31739917397499084, "initial_val_acc": 0.72, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
58
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.86, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9301, "learning_rate": 0.0794152084668348, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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}
## Activation Signature
### 0
mean: [0.810280, -3.870460, 1.957176, -2.513133, 1.778280, 0.401562, 1.615614, 1.001565]
std: [1.366797, 2.296989, 1.904646, 1.870247, 2.724618, 1.794028, 1.161461, 1.053922]
pca: [[-0.039755, 0.376257, -0.467456, -0.019360, -0.037656, 0.416913, 0.592077, 0.334920, 0.000000, 0.000000], [-0.480263, -0.466637, 0.144277, 0.149412, -0.564333, -0.000843, 0.109076, 0.422005, 0.000000, 0.000000], [0.081485, 0.508069, 0.670697, 0.038070, -0.047800, -0.344566, 0.300530, 0.269469, 0.000000, 0.000000], [-0.431735, -0.190536, 0.228324, 0.423229, 0.586857, 0.149208, 0.351834, -0.235785, 0.000000, 0.000000], [0.629715, -0.436413, -0.114346, 0.292948, -0.065737, -0.298898, 0.467815, -0.039969, 0.000000, 0.000000], [0.344477, -0.276335, 0.480943, -0.323173, 0.046603, 0.676177, 0.044592, 0.088610, 0.000000, 0.000000], [0.232859, 0.074748, -0.031939, 0.611121, 0.209659, 0.171254, -0.449275, 0.539044, 0.000000, 0.000000], [0.072830, 0.271733, 0.115330, 0.482702, -0.531953, 0.330623, -0.027462, -0.530580, 0.000000, 0.000000]]
fourier: [[19.836190, 20.569986, 22.229383, 22.823088, 72.925189], [37.389667, 38.595617, 40.929924, 45.549628, 348.341379], [31.279972, 31.436276, 31.986788, 37.468079, 176.145882], [27.952603, 30.342383, 34.947792, 38.761243, 226.181984], [45.837365, 46.159689, 48.476294, 49.414251, 160.045201], [31.163410, 32.185507, 33.262253, 36.140536, 38.864046], [17.085936, 18.307599, 22.213021, 22.375937, 145.405257], [17.920288, 19.548720, 19.998364, 20.017929, 90.140838]]
### 2
mean: [0.021481, 0.549164, -0.935468, 2.848178, -1.767442, 1.392447, -2.416498, 1.304832]
std: [0.506777, 2.868144, 0.553442, 3.433642, 2.379459, 2.208671, 2.087429, 3.070225]
pca: [[-0.028603, 0.041576, 0.265079, 0.616240, -0.070340, 0.616126, -0.146742, -0.375955, 0.000000, 0.000000], [0.471780, -0.056450, 0.521800, 0.153636, 0.013931, -0.195205, 0.663358, -0.003828, 0.000000, 0.000000], [0.048037, -0.116310, -0.167299, -0.594273, -0.228121, 0.452238, 0.360356, -0.465402, 0.000000, 0.000000], [0.507991, 0.595639, -0.093388, -0.073273, 0.038109, -0.254583, -0.298575, -0.466538, 0.000000, 0.000000], [0.294883, -0.521358, 0.418057, -0.235580, -0.327547, -0.078636, -0.544786, -0.026421, 0.000000, 0.000000], [0.365937, 0.178882, 0.129911, -0.270805, 0.463550, 0.531924, -0.134953, 0.477331, 0.000000, 0.000000], [0.211730, -0.553902, -0.318823, 0.142426, 0.643951, -0.086171, -0.020657, -0.322342, 0.000000, 0.000000], [-0.500546, 0.127088, 0.572233, -0.298321, 0.452248, -0.128063, -0.063157, -0.303216, 0.000000, 0.000000]]
fourier: [[7.274166, 7.326743, 8.651313, 9.141978, 9.451587], [44.828248, 46.911111, 49.048783, 49.424714, 61.303329], [9.078879, 9.404628, 10.349732, 10.733798, 84.192093], [53.691702, 55.414660, 55.623524, 58.044208, 256.336031], [38.648103, 41.688453, 46.024936, 49.287820, 159.069772], [33.195338, 35.617861, 38.879066, 42.593329, 125.320185], [34.950173, 35.689804, 39.081205, 40.448824, 217.484843], [46.954317, 49.615164, 52.697530, 59.305829, 117.434883]]
### 4
mean: [-0.794426, -1.168947, -0.506655, -2.993677, -0.103988, 3.302272, 3.342768, -0.878469]
std: [0.969294, 3.445763, 3.482361, 1.601099, 3.439434, 4.099959, 4.353336, 2.790557]
pca: [[-0.105898, 0.019190, 0.375736, 0.749775, 0.093764, 0.341832, 0.298560, 0.265139, 0.000000, 0.000000], [-0.385835, -0.178475, -0.196606, -0.442341, 0.049687, 0.239888, 0.638445, 0.342536, 0.000000, 0.000000], [-0.385112, -0.337270, -0.185604, 0.154623, 0.166577, -0.302829, -0.482966, 0.571726, 0.000000, 0.000000], [-0.113729, 0.643478, -0.194714, -0.078139, 0.660332, 0.245037, -0.173961, 0.051356, 0.000000, 0.000000], [-0.378386, -0.375724, -0.241921, 0.110695, 0.006960, 0.555884, -0.264198, -0.515771, 0.000000, 0.000000], [0.453910, -0.363091, -0.488309, 0.262546, 0.471408, -0.175279, 0.296609, -0.117599, 0.000000, 0.000000], [0.483902, -0.346575, 0.361734, -0.333419, 0.229992, 0.451469, -0.261839, 0.280044, 0.000000, 0.000000], [-0.308707, -0.216437, 0.565670, -0.140733, 0.499783, -0.360972, 0.115734, -0.352971, 0.000000, 0.000000]]
fourier: [[14.576113, 14.592398, 14.783536, 20.248305, 71.498367], [52.277878, 55.031321, 57.798773, 70.938351, 105.205235], [49.314154, 52.386902, 57.895974, 60.573368, 71.293823], [24.074000, 26.185276, 26.850172, 31.803257, 269.430939], [48.029331, 52.124137, 57.440150, 60.286024, 69.874650], [59.904649, 61.844698, 64.796306, 82.705005, 297.204387], [64.062464, 64.501724, 71.812159, 85.236951, 300.849173], [40.285047, 43.722284, 48.601484, 60.233191, 79.062211]]
### 6
mean: [1.592944, -3.331901, 2.936265, 2.254158, 1.212615, -1.317514, 1.118990, -4.814939]
std: [5.272058, 1.798020, 2.625592, 6.779168, 5.665781, 1.844683, 4.873784, 2.913670]
pca: [[0.450583, 0.032680, 0.572411, -0.047448, -0.128325, -0.351759, 0.482234, -0.305367, 0.000000, 0.000000], [-0.035159, 0.454313, 0.201916, 0.600243, 0.306446, -0.323464, -0.418000, -0.134310, 0.000000, 0.000000], [0.180327, -0.405255, -0.478837, 0.607508, -0.340250, -0.197481, 0.143924, -0.171513, 0.000000, 0.000000], [0.579526, 0.034093, -0.336296, -0.325108, 0.206095, 0.071509, -0.385130, -0.498281, 0.000000, 0.000000], [0.484131, 0.054552, -0.121743, -0.097831, -0.021462, -0.391130, -0.135609, 0.752606, 0.000000, 0.000000], [0.134207, 0.251339, -0.319026, 0.161299, 0.610976, 0.190031, 0.611001, 0.091087, 0.000000, 0.000000], [0.416208, 0.061554, 0.287456, 0.343880, -0.203251, 0.733754, -0.108485, 0.174992, 0.000000, 0.000000], [-0.041787, 0.746459, -0.299942, -0.094096, -0.562420, 0.005882, 0.142147, -0.075345, 0.000000, 0.000000]]
fourier: [[80.750286, 87.110130, 96.156753, 99.299610, 143.364974], [24.381792, 30.710642, 31.386659, 32.245459, 299.871074], [38.939695, 39.818938, 40.256274, 55.234190, 264.263879], [102.879120, 111.999465, 122.409710, 128.528944, 202.874207], [85.438563, 94.024758, 103.482535, 106.666490, 109.135363], [30.061883, 32.310772, 37.407549, 39.037359, 118.576272], [73.309874, 81.422544, 90.032692, 91.647959, 100.709107], [40.243475, 49.606380, 49.904224, 56.304726, 433.344564]]
### 8
mean: [11.522666, -1.077031, -1.457661, 8.181421, 9.514978, 4.069976, -2.497945, 7.994886]
std: [11.848105, 0.858343, 1.126202, 8.608842, 9.700021, 4.073067, 2.197327, 8.011092]
pca: [[0.595361, -0.045853, -0.093410, -0.190379, 0.702771, 0.015218, 0.077009, -0.313727, 0.000000, 0.000000], [-0.043086, 0.102332, -0.080595, -0.356944, -0.029310, 0.330159, 0.811085, 0.293332, 0.000000, 0.000000], [-0.055980, -0.443747, -0.233409, 0.683938, 0.005796, -0.058537, 0.451065, -0.266053, 0.000000, 0.000000], [0.432495, -0.465224, 0.654999, 0.071751, -0.205240, 0.282687, -0.016517, 0.200087, 0.000000, 0.000000], [0.487404, 0.197822, -0.364711, -0.045839, -0.626239, 0.240679, -0.042575, -0.369154, 0.000000, 0.000000], [0.204342, 0.626963, 0.092514, 0.600956, 0.176616, 0.260295, -0.006483, 0.310591, 0.000000, 0.000000], [-0.110202, -0.350871, -0.489797, 0.003646, 0.168489, 0.611060, -0.361299, 0.304156, 0.000000, 0.000000], [0.402542, -0.136946, -0.346124, 0.012828, -0.106489, -0.555294, 0.009322, 0.616004, 0.000000, 0.000000]]
fourier: [[170.147345, 172.875843, 181.097706, 264.830588, 1037.039940], [12.636297, 12.849449, 13.286715, 19.392467, 96.932799], [16.548214, 16.579756, 16.781663, 23.882751, 131.189468], [124.968672, 127.427145, 132.087287, 193.401899, 736.327925], [138.868096, 140.604720, 148.043337, 216.273665, 856.348023], [57.965932, 59.619789, 61.807133, 89.435829, 366.297857], [31.478452, 32.300624, 33.305124, 48.176008, 224.815051], [115.207285, 116.925854, 122.512716, 179.280691, 719.539853]]
### 10
mean: [-2.684422, -0.595802, -7.450031, -5.793950, -4.987346, 19.511539, -2.677117, 19.923153]
std: [2.679920, 0.495492, 7.056387, 5.679050, 4.840331, 20.338959, 2.489994, 20.718729]
pca: [[-0.086333, 0.621278, -0.251704, 0.031758, -0.469228, 0.482081, 0.044537, -0.296034, 0.000000, 0.000000], [-0.015805, -0.414489, -0.019530, -0.004415, -0.027418, 0.737096, -0.416215, 0.332041, 0.000000, 0.000000], [-0.227505, -0.063328, -0.576383, 0.123559, -0.368724, -0.265603, 0.137497, 0.609376, 0.000000, 0.000000], [-0.183076, 0.517574, -0.197196, 0.172251, 0.603871, -0.053395, -0.466726, 0.211422, 0.000000, 0.000000], [-0.156053, 0.201251, 0.385871, 0.225462, 0.227001, 0.311479, 0.647844, 0.408858, 0.000000, 0.000000], [0.655750, 0.278787, -0.036816, -0.590723, 0.022162, 0.024211, 0.044227, 0.372729, 0.000000, 0.000000], [-0.080266, 0.228084, 0.639113, 0.099452, -0.473526, -0.230801, -0.407064, 0.282810, 0.000000, 0.000000], [0.667996, -0.008485, -0.080260, 0.737805, -0.046994, -0.004082, -0.026161, -0.001318, 0.000000, 0.000000]]
fourier: [[39.375108, 40.166351, 41.113765, 60.543351, 241.597955], [7.351683, 7.385479, 7.511946, 10.508157, 53.622211], [101.291853, 102.754599, 107.732021, 157.619732, 670.502807], [82.194001, 83.798681, 86.854375, 127.443784, 521.455468], [69.782256, 71.150328, 73.994155, 108.366816, 448.861116], [291.895865, 296.496227, 310.531059, 454.156557, 1756.038564], [36.027990, 36.962950, 38.158633, 55.889382, 240.940535], [297.681973, 302.547948, 316.408484, 462.960790, 1793.083604]]
### 12
mean: [-14.277277]
std: [15.388761]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[220.907404, 224.480296, 234.382569, 343.848370, 1284.954937]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.182419,
0.171145,
-0.438574,
0.112075,
-0.31303
]
],
"network.12.bias": [
0.534073
]
}
## Activation Signature
### 0
mean: [0.810280, -3.870460, 1.957176, -2.513133, 1.778280, 0.401562, 1.615614, 1.001565]
std: [1.366797, 2.296989, 1.904646, 1.870247, 2.724618, 1.794028, 1.161461, 1.053922]
pca: [[-0.039755, 0.376257, -0.467456, -0.019360, -0.037656, 0.416913, 0.592077, 0.334920, 0.000000, 0.000000], [-0.480263, -0.466637, 0.144277, 0.149412, -0.564333, -0.000843, 0.109076, 0.422005, 0.000000, 0.000000], [0.081485, 0.508069, 0.670697, 0.038070, -0.047800, -0.344566, 0.300530, 0.269469, 0.000000, 0.000000], [-0.431735, -0.190536, 0.228324, 0.423229, 0.586857, 0.149208, 0.351834, -0.235785, 0.000000, 0.000000], [0.629715, -0.436413, -0.114346, 0.292948, -0.065737, -0.298898, 0.467815, -0.039969, 0.000000, 0.000000], [0.344477, -0.276335, 0.480943, -0.323173, 0.046603, 0.676177, 0.044592, 0.088610, 0.000000, 0.000000], [0.232859, 0.074748, -0.031939, 0.611121, 0.209659, 0.171254, -0.449275, 0.539044, 0.000000, 0.000000], [0.072830, 0.271733, 0.115330, 0.482702, -0.531953, 0.330623, -0.027462, -0.530580, 0.000000, 0.000000]]
fourier: [[19.836190, 20.569986, 22.229383, 22.823088, 72.925189], [37.389667, 38.595617, 40.929924, 45.549628, 348.341379], [31.279972, 31.436276, 31.986788, 37.468079, 176.145882], [27.952603, 30.342383, 34.947792, 38.761243, 226.181984], [45.837365, 46.159689, 48.476294, 49.414251, 160.045201], [31.163410, 32.185507, 33.262253, 36.140536, 38.864046], [17.085936, 18.307599, 22.213021, 22.375937, 145.405257], [17.920288, 19.548720, 19.998364, 20.017929, 90.140838]]
### 2
mean: [0.021481, 0.549164, -0.935468, 2.848178, -1.767442, 1.392447, -2.416498, 1.304832]
std: [0.506777, 2.868144, 0.553442, 3.433642, 2.379459, 2.208671, 2.087429, 3.070225]
pca: [[-0.028603, 0.041576, 0.265079, 0.616240, -0.070340, 0.616126, -0.146742, -0.375955, 0.000000, 0.000000], [0.471780, -0.056450, 0.521800, 0.153636, 0.013931, -0.195205, 0.663358, -0.003828, 0.000000, 0.000000], [0.048037, -0.116310, -0.167299, -0.594273, -0.228121, 0.452238, 0.360356, -0.465402, 0.000000, 0.000000], [0.507991, 0.595639, -0.093388, -0.073273, 0.038109, -0.254583, -0.298575, -0.466538, 0.000000, 0.000000], [0.294883, -0.521358, 0.418057, -0.235580, -0.327547, -0.078636, -0.544786, -0.026421, 0.000000, 0.000000], [0.365937, 0.178882, 0.129911, -0.270805, 0.463550, 0.531924, -0.134953, 0.477331, 0.000000, 0.000000], [0.211730, -0.553902, -0.318823, 0.142426, 0.643951, -0.086171, -0.020657, -0.322342, 0.000000, 0.000000], [-0.500546, 0.127088, 0.572233, -0.298321, 0.452248, -0.128063, -0.063157, -0.303216, 0.000000, 0.000000]]
fourier: [[7.274166, 7.326743, 8.651313, 9.141978, 9.451587], [44.828248, 46.911111, 49.048783, 49.424714, 61.303329], [9.078879, 9.404628, 10.349732, 10.733798, 84.192093], [53.691702, 55.414660, 55.623524, 58.044208, 256.336031], [38.648103, 41.688453, 46.024936, 49.287820, 159.069772], [33.195338, 35.617861, 38.879066, 42.593329, 125.320185], [34.950173, 35.689804, 39.081205, 40.448824, 217.484843], [46.954317, 49.615164, 52.697530, 59.305829, 117.434883]]
### 4
mean: [-0.794426, -1.168947, -0.506655, -2.993677, -0.103988, 3.302272, 3.342768, -0.878469]
std: [0.969294, 3.445763, 3.482361, 1.601099, 3.439434, 4.099959, 4.353336, 2.790557]
pca: [[-0.105898, 0.019190, 0.375736, 0.749775, 0.093764, 0.341832, 0.298560, 0.265139, 0.000000, 0.000000], [-0.385835, -0.178475, -0.196606, -0.442341, 0.049687, 0.239888, 0.638445, 0.342536, 0.000000, 0.000000], [-0.385112, -0.337270, -0.185604, 0.154623, 0.166577, -0.302829, -0.482966, 0.571726, 0.000000, 0.000000], [-0.113729, 0.643478, -0.194714, -0.078139, 0.660332, 0.245037, -0.173961, 0.051356, 0.000000, 0.000000], [-0.378386, -0.375724, -0.241921, 0.110695, 0.006960, 0.555884, -0.264198, -0.515771, 0.000000, 0.000000], [0.453910, -0.363091, -0.488309, 0.262546, 0.471408, -0.175279, 0.296609, -0.117599, 0.000000, 0.000000], [0.483902, -0.346575, 0.361734, -0.333419, 0.229992, 0.451469, -0.261839, 0.280044, 0.000000, 0.000000], [-0.308707, -0.216437, 0.565670, -0.140733, 0.499783, -0.360972, 0.115734, -0.352971, 0.000000, 0.000000]]
fourier: [[14.576113, 14.592398, 14.783536, 20.248305, 71.498367], [52.277878, 55.031321, 57.798773, 70.938351, 105.205235], [49.314154, 52.386902, 57.895974, 60.573368, 71.293823], [24.074000, 26.185276, 26.850172, 31.803257, 269.430939], [48.029331, 52.124137, 57.440150, 60.286024, 69.874650], [59.904649, 61.844698, 64.796306, 82.705005, 297.204387], [64.062464, 64.501724, 71.812159, 85.236951, 300.849173], [40.285047, 43.722284, 48.601484, 60.233191, 79.062211]]
### 6
mean: [1.592944, -3.331901, 2.936265, 2.254158, 1.212615, -1.317514, 1.118990, -4.814939]
std: [5.272058, 1.798020, 2.625592, 6.779168, 5.665781, 1.844683, 4.873784, 2.913670]
pca: [[0.450583, 0.032680, 0.572411, -0.047448, -0.128325, -0.351759, 0.482234, -0.305367, 0.000000, 0.000000], [-0.035159, 0.454313, 0.201916, 0.600243, 0.306446, -0.323464, -0.418000, -0.134310, 0.000000, 0.000000], [0.180327, -0.405255, -0.478837, 0.607508, -0.340250, -0.197481, 0.143924, -0.171513, 0.000000, 0.000000], [0.579526, 0.034093, -0.336296, -0.325108, 0.206095, 0.071509, -0.385130, -0.498281, 0.000000, 0.000000], [0.484131, 0.054552, -0.121743, -0.097831, -0.021462, -0.391130, -0.135609, 0.752606, 0.000000, 0.000000], [0.134207, 0.251339, -0.319026, 0.161299, 0.610976, 0.190031, 0.611001, 0.091087, 0.000000, 0.000000], [0.416208, 0.061554, 0.287456, 0.343880, -0.203251, 0.733754, -0.108485, 0.174992, 0.000000, 0.000000], [-0.041787, 0.746459, -0.299942, -0.094096, -0.562420, 0.005882, 0.142147, -0.075345, 0.000000, 0.000000]]
fourier: [[80.750286, 87.110130, 96.156753, 99.299610, 143.364974], [24.381792, 30.710642, 31.386659, 32.245459, 299.871074], [38.939695, 39.818938, 40.256274, 55.234190, 264.263879], [102.879120, 111.999465, 122.409710, 128.528944, 202.874207], [85.438563, 94.024758, 103.482535, 106.666490, 109.135363], [30.061883, 32.310772, 37.407549, 39.037359, 118.576272], [73.309874, 81.422544, 90.032692, 91.647959, 100.709107], [40.243475, 49.606380, 49.904224, 56.304726, 433.344564]]
### 8
mean: [11.522666, -1.077031, -1.457661, 8.181421, 9.514978, 4.069976, -2.497945, 7.994886]
std: [11.848105, 0.858343, 1.126202, 8.608842, 9.700021, 4.073067, 2.197327, 8.011092]
pca: [[0.595361, -0.045853, -0.093410, -0.190379, 0.702771, 0.015218, 0.077009, -0.313727, 0.000000, 0.000000], [-0.043086, 0.102332, -0.080595, -0.356944, -0.029310, 0.330159, 0.811085, 0.293332, 0.000000, 0.000000], [-0.055980, -0.443747, -0.233409, 0.683938, 0.005796, -0.058537, 0.451065, -0.266053, 0.000000, 0.000000], [0.432495, -0.465224, 0.654999, 0.071751, -0.205240, 0.282687, -0.016517, 0.200087, 0.000000, 0.000000], [0.487404, 0.197822, -0.364711, -0.045839, -0.626239, 0.240679, -0.042575, -0.369154, 0.000000, 0.000000], [0.204342, 0.626963, 0.092514, 0.600956, 0.176616, 0.260295, -0.006483, 0.310591, 0.000000, 0.000000], [-0.110202, -0.350871, -0.489797, 0.003646, 0.168489, 0.611060, -0.361299, 0.304156, 0.000000, 0.000000], [0.402542, -0.136946, -0.346124, 0.012828, -0.106489, -0.555294, 0.009322, 0.616004, 0.000000, 0.000000]]
fourier: [[170.147345, 172.875843, 181.097706, 264.830588, 1037.039940], [12.636297, 12.849449, 13.286715, 19.392467, 96.932799], [16.548214, 16.579756, 16.781663, 23.882751, 131.189468], [124.968672, 127.427145, 132.087287, 193.401899, 736.327925], [138.868096, 140.604720, 148.043337, 216.273665, 856.348023], [57.965932, 59.619789, 61.807133, 89.435829, 366.297857], [31.478452, 32.300624, 33.305124, 48.176008, 224.815051], [115.207285, 116.925854, 122.512716, 179.280691, 719.539853]]
### 10
mean: [-2.684422, -0.595802, -7.450031, -5.793950, -4.987346, 19.511539, -2.677117, 19.923153]
std: [2.679920, 0.495492, 7.056387, 5.679050, 4.840331, 20.338959, 2.489994, 20.718729]
pca: [[-0.086333, 0.621278, -0.251704, 0.031758, -0.469228, 0.482081, 0.044537, -0.296034, 0.000000, 0.000000], [-0.015805, -0.414489, -0.019530, -0.004415, -0.027418, 0.737096, -0.416215, 0.332041, 0.000000, 0.000000], [-0.227505, -0.063328, -0.576383, 0.123559, -0.368724, -0.265603, 0.137497, 0.609376, 0.000000, 0.000000], [-0.183076, 0.517574, -0.197196, 0.172251, 0.603871, -0.053395, -0.466726, 0.211422, 0.000000, 0.000000], [-0.156053, 0.201251, 0.385871, 0.225462, 0.227001, 0.311479, 0.647844, 0.408858, 0.000000, 0.000000], [0.655750, 0.278787, -0.036816, -0.590723, 0.022162, 0.024211, 0.044227, 0.372729, 0.000000, 0.000000], [-0.080266, 0.228084, 0.639113, 0.099452, -0.473526, -0.230801, -0.407064, 0.282810, 0.000000, 0.000000], [0.667996, -0.008485, -0.080260, 0.737805, -0.046994, -0.004082, -0.026161, -0.001318, 0.000000, 0.000000]]
fourier: [[39.375108, 40.166351, 41.113765, 60.543351, 241.597955], [7.351683, 7.385479, 7.511946, 10.508157, 53.622211], [101.291853, 102.754599, 107.732021, 157.619732, 670.502807], [82.194001, 83.798681, 86.854375, 127.443784, 521.455468], [69.782256, 71.150328, 73.994155, 108.366816, 448.861116], [291.895865, 296.496227, 310.531059, 454.156557, 1756.038564], [36.027990, 36.962950, 38.158633, 55.889382, 240.940535], [297.681973, 302.547948, 316.408484, 462.960790, 1793.083604]]
### 12
mean: [-14.277277]
std: [15.388761]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[220.907404, 224.480296, 234.382569, 343.848370, 1284.954937]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.8102800250053406, "std": 1.3667973279953003, "pca": [-0.03975507616996765, 0.3762570023536682, -0.46745580434799194, -0.019359996542334557, -0.03765585273504257, 0.4169127345085144, 0.5920770168304443, 0.3349195122718811, 0.0, 0.0], "fourier": [19.836190453270426, 20.56998551905218, 22.229383292735942, 22.823088225478056, 72.92518892884254]}, "1": {"mean": -3.870460033416748, "std": 2.2969894409179688, "pca": [-0.48026251792907715, -0.46663662791252136, 0.14427652955055237, 0.14941194653511047, -0.5643330812454224, -0.0008431526366621256, 0.10907567292451859, 0.4220053553581238, 0.0, 0.0], "fourier": [37.38966673094538, 38.59561676142599, 40.92992408391573, 45.5496276779867, 348.34137934446335]}, "2": {"mean": 1.9571763277053833, "std": 1.9046456813812256, "pca": [0.08148497343063354, 0.5080686211585999, 0.6706969738006592, 0.038070306181907654, -0.04780039191246033, -0.34456631541252136, 0.30053043365478516, 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-0.3231729567050934, 0.0466025285422802, 0.6761766076087952, 0.04459220543503761, 0.08861003071069717, 0.0, 0.0], "fourier": [31.16340963239052, 32.185507171470974, 33.2622532109234, 36.14053612947464, 38.8640459843688]}, "6": {"mean": 1.6156139373779297, "std": 1.1614606380462646, "pca": [0.2328590452671051, 0.07474760711193085, -0.03193898871541023, 0.6111207604408264, 0.20965860784053802, 0.17125429213047028, -0.4492747485637665, 0.5390437841415405, 0.0, 0.0], "fourier": [17.085936330797843, 18.30759884462125, 22.21302147770579, 22.3759366570877, 145.40525712817907]}, "7": {"mean": 1.001564860343933, "std": 1.053922176361084, "pca": [0.07283022999763489, 0.27173253893852234, 0.1153302788734436, 0.48270171880722046, -0.5319533944129944, 0.3306228518486023, -0.027461668476462364, -0.5305799841880798, 0.0, 0.0], "fourier": [17.920287668495575, 19.548720119251385, 19.99836429711506, 20.017929168789795, 90.14083820581436]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.161227, 0.105809, -0.29183, 0.518432, 0.121518], [-0.448556, -0.027815, -0.210894, -0.716025, -0.518997], [-0.413919, -0.277223, 0.55496, 0.248759, 0.663081], [-0.677825, 0.047725, 0.169231, -0.389968, -0.485362], [1.042782, 0.516896, 0.069695, -0.338169, 0.148045], [0.635939, -0.25175, 0.370285, -0.268276, 0.144691], [0.038265, 0.480165, 0.172025, -0.010064, 0.237352], [-0.30101, 0.289505, 0.086057, 0.027835, 0.470512]], "network.0.bias": [0.166088, -0.645465, 0.466938, -0.675211, -0.064292, -0.307717, 0.062534, 0.028859], "network.2.weight": [[0.401933, -0.359648, -0.268268, 0.481759, 0.014882, 0.300113, -0.039014, 0.311759], [0.987814, -0.018585, 0.191354, -0.113583, -0.553234, -0.393001, 0.017835, 0.614907], [-0.322318, -0.043712, 0.076783, -0.408699, -0.055239, -0.311244, -0.06111, -0.04864], [0.433395, 0.075531, 1.218184, 0.602322, -0.635772, 0.20782, 0.135331, 0.611266], [0.557939, -0.086339, -0.353143, -0.208177, -0.28618, -0.876717, -0.236143, 0.271621], [0.396265, -0.186221, 0.511887, 0.180394, -0.526062, -0.100171, 0.249388, 0.363903], [-0.069, -0.486058, -0.145692, -0.310652, -0.482028, -0.38256, -0.348591, -0.345243], [-0.034396, 0.201343, -0.670548, -0.26139, 0.760761, 0.116226, 0.717452, -0.34386]], "network.2.bias": [-0.395797, -0.1129, -0.234537, 0.082771, -0.196029, 0.25196, 0.143352, 0.356049], "network.4.weight": [[-0.290319, -0.120178, 0.228426, 0.013055, -0.151079, -0.34493, 0.030121, 0.140894], [0.383997, -0.38388, 0.20842, -0.455651, 0.299342, -0.251309, -0.048463, 0.631115], [0.431422, -0.209811, -0.083594, -0.316901, -0.006306, -0.485937, -0.162638, 0.732213], [-0.481693, -0.145508, 0.137052, -0.509759, 0.08502, -0.118428, -0.160626, -0.291782], [0.317893, -0.206272, 0.061587, -0.321568, 0.149889, -0.402999, -0.340351, 0.768422], [0.031111, 0.904479, 0.133865, 0.713577, -0.088268, 0.127871, -0.083586, -0.36081], [-0.016407, 0.430328, 0.274613, 0.939688, 0.377186, 0.283337, -0.055483, -0.405887], [0.289448, -0.482576, 0.257713, -0.041606, 0.296003, -0.535914, 0.424022, 0.538204]], "network.4.bias": [-0.217929, 0.10305, 0.332071, -0.306625, 0.544825, 0.099479, -0.17383, -0.136606], "network.6.weight": [[-0.019772, -0.551948, -0.23259, -0.025374, -0.699892, 0.007701, 0.760099, -0.102245], [-0.319922, -0.002258, -0.166979, -0.319128, -0.089192, -0.462449, -0.085135, -0.607566], [-0.214552, 0.366967, -0.205674, 0.251282, 0.258626, 0.424681, 0.335332, -0.275779], [-0.016209, -0.439798, -0.797452, -0.012475, -0.77829, 0.468621, 0.536641, 0.098963], [-0.11673, -0.389379, -0.590019, -0.444138, -0.640572, 0.289322, 0.522284, -0.068758], [-0.180255, -0.069241, -0.163677, -0.156148, -0.440165, 0.016623, -0.042817, -0.265031], [0.032822, -0.340022, -0.430258, -0.101363, -0.443509, 0.014601, 0.664457, -0.392181], [0.023588, -0.515467, 0.118535, -0.093211, -0.540943, -0.331582, -0.530703, -0.504403]], "network.6.bias": [0.382089, -0.492373, -0.09549, 0.699767, 0.053337, -0.177617, 0.17836, -0.168255], "network.8.weight": [[0.817665, -0.006222, 0.46754, 0.949649, 0.821823, -0.210293, 0.634186, 0.172123], [-0.234582, -0.250542, 0.006324, -0.071098, 0.054464, -0.144646, -0.012181, -0.028729], [0.226816, -0.272782, -0.282152, 0.149471, -0.338137, -0.195474, -0.234149, -0.24088], [0.885339, -0.082914, 0.039575, 0.532027, 0.409881, -0.261612, 0.870574, -0.551173], [0.511423, 0.249811, 0.55798, 0.848399, 0.685481, 0.235816, 0.410391, -0.142704], [0.173145, 0.310308, 0.636439, 0.163427, 0.198548, 0.143137, 0.224085, 0.220102], [-0.225276, -0.279014, -0.310845, 0.13778, -0.242693, 0.047501, -0.182091, 0.331776], [0.706562, -0.409274, 0.269217, 0.759776, 0.549374, 0.009831, 0.12759, -0.022358]], "network.8.bias": [-0.267552, -0.219226, -0.331563, -0.255785, -0.215767, -0.155133, -0.27673, 0.008896], "network.10.weight": [[0.017975, -0.048555, -0.253439, -0.344392, 0.226612, 0.152696, -0.079656, -0.345177], [-0.162143, 0.014568, 0.112638, 0.238497, -0.083106, -0.143778, -0.102679, 0.097597], [-0.21893, 0.012384, -0.331332, -0.037406, -0.436091, 0.093507, -0.142893, -0.036837], [-0.331984, -0.19091, -0.092273, -0.32926, 0.11677, 0.153864, -0.068567, -0.086159], [-0.09006, -0.011374, -0.314621, -0.358777, 0.015215, -0.066865, -0.31765, -0.072715], [0.581713, -0.084701, 0.174296, 0.513373, 0.82465, 0.204022, -0.098884, 0.029336], [0.163003, -0.349005, -0.085444, -0.410064, 0.241572, -0.192928, 0.213643, -0.308702], [0.530215, -0.144753, -0.036989, 0.683304, 0.85786, 0.059504, 0.260294, 0.004706]], "network.10.bias": [-0.071394, -0.096644, -0.553597, -0.301477, -0.28299, -0.339645, -0.221786, -0.265997], "network.12.weight": [[-0.027402, -0.039165, 0.022716, -0.182419, 0.171145, -0.438574, 0.112075, -0.31303]], "network.12.bias": [0.534073]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.681345522403717, "train_acc": 0.56, "val_loss": 0.7336214184761047, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6638434529304504, "train_acc": 0.58, "val_loss": 0.6893817186355591, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6594972908496857, "train_acc": 0.51, "val_loss": 0.637742280960083, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5456941723823547, "train_acc": 0.62, "val_loss": 0.5156699419021606, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.42921626567840576, "train_acc": 0.805, "val_loss": 0.48279187083244324, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37749265134334564, "train_acc": 0.89, "val_loss": 0.4443713128566742, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.34709616005420685, "train_acc": 0.9, "val_loss": 0.40754029154777527, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.36785566806793213, "train_acc": 0.9, "val_loss": 0.38802286982536316, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2962487190961838, "train_acc": 0.9, "val_loss": 0.4341470003128052, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.34139178693294525, "train_acc": 0.855, "val_loss": 0.4346511960029602, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.35184331238269806, "train_acc": 0.845, "val_loss": 0.4355050027370453, "val_acc": 0.8}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7336214184761047, "final_val_loss": 0.6893817186355591, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.637742280960083, "final_val_loss": 0.4355050027370453, "initial_val_acc": 0.46, "final_val_acc": 0.8, "best_val_acc": 0.86, "best_epoch": 6}, "improvement": 0.39999999999999997, "first_improvement_epoch": 1}}
|
59
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.76, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8264, "learning_rate": 0.06745739206568764, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-1.009700, 0.375585, -2.564209, -0.365108, -3.428299, 3.155066, -0.621480, -1.289269]
std: [2.852535, 2.345353, 1.729918, 1.488445, 2.209950, 2.074584, 0.972291, 1.642708]
pca: [[0.656704, -0.188088, 0.005447, 0.267032, 0.483632, 0.202084, 0.335867, -0.272916, 0.000000, 0.000000], [0.458259, -0.410247, 0.057040, -0.095859, -0.391247, 0.376635, -0.484579, 0.281972, 0.000000, 0.000000], [0.218413, 0.424820, -0.149824, -0.564069, 0.173466, 0.238922, 0.284841, 0.512732, 0.000000, 0.000000], [0.222030, -0.284188, -0.412188, 0.012306, -0.459252, -0.486564, 0.479378, 0.149765, 0.000000, 0.000000], [0.189432, 0.622747, -0.249675, 0.297388, -0.482950, 0.300261, 0.001056, -0.319570, 0.000000, 0.000000], [-0.421950, -0.331726, 0.059500, -0.011124, -0.201932, 0.632182, 0.514840, -0.052538, 0.000000, 0.000000], [-0.005097, 0.156444, 0.376650, 0.643276, -0.030639, -0.025616, 0.150611, 0.628928, 0.000000, 0.000000], [0.218597, 0.112934, 0.772417, -0.314342, -0.311556, -0.181693, 0.231719, -0.245457, 0.000000, 0.000000]]
fourier: [[43.248024, 46.068507, 49.389180, 50.821690, 90.873019], [34.103589, 35.032556, 35.668266, 37.802413, 39.741378], [26.819869, 28.494318, 28.651434, 35.376331, 230.778799], [18.422884, 22.780109, 26.346165, 32.859731, 33.878236], [36.837183, 40.474112, 41.553555, 43.611757, 308.546937], [31.792385, 33.301720, 36.801036, 40.025701, 283.955975], [14.334965, 16.320945, 18.360523, 20.315692, 55.933215], [27.314896, 28.674606, 33.387003, 34.741802, 116.034181]]
### 2
mean: [-3.609810, 1.757479, -1.061626, -0.880674, -0.121493, 1.772721, -1.721024, 1.707438]
std: [2.046173, 1.263054, 1.238866, 1.598343, 1.337119, 1.524439, 0.862603, 2.592325]
pca: [[-0.388161, 0.625837, -0.141682, -0.073525, 0.078051, 0.613045, -0.192432, 0.115038, 0.000000, 0.000000], [-0.074054, -0.606845, -0.083894, 0.066902, 0.113984, 0.607116, 0.374533, 0.304768, 0.000000, 0.000000], [-0.295912, -0.032291, -0.156876, -0.387766, 0.781654, -0.318028, 0.119349, 0.100258, 0.000000, 0.000000], [-0.370908, -0.162014, 0.867394, -0.015372, 0.056242, 0.020578, -0.266443, 0.094829, 0.000000, 0.000000], [0.291103, 0.284209, 0.146416, -0.070346, -0.091731, -0.174857, 0.175596, 0.859229, 0.000000, 0.000000], [0.364870, 0.034371, 0.022804, 0.655583, 0.550540, 0.089058, -0.347034, 0.062622, 0.000000, 0.000000], [-0.121448, 0.341236, 0.272415, 0.381344, 0.107765, -0.046624, 0.760050, -0.240235, 0.000000, 0.000000], [0.621361, 0.119908, 0.315814, -0.509273, 0.208919, 0.336661, 0.092289, -0.273732, 0.000000, 0.000000]]
fourier: [[38.301347, 38.818396, 41.273861, 43.389484, 324.882918], [19.866712, 20.900132, 21.612353, 24.797262, 158.173081], [21.077410, 21.812831, 22.348624, 22.554782, 95.546307], [25.479793, 26.801356, 28.945706, 30.014414, 79.260656], [18.891683, 18.941334, 21.123241, 21.619090, 28.215982], [24.690573, 25.936252, 27.011897, 27.816731, 159.544910], [14.260632, 16.103945, 16.982417, 17.034940, 154.892174], [41.029236, 42.591549, 44.423243, 49.405595, 153.669402]]
### 4
mean: [-0.955874, -0.417343, -1.466251, -2.214583, -1.568936, -0.836673, 1.591233, -0.058961]
std: [0.951953, 0.190589, 1.677863, 1.354924, 1.205723, 0.349891, 2.748386, 2.996126]
pca: [[-0.200368, -0.018195, -0.494566, -0.189775, 0.820990, 0.051471, -0.041933, -0.021886, 0.000000, 0.000000], [0.023271, 0.125434, -0.084289, -0.343638, -0.176553, 0.720593, -0.393050, 0.391944, 0.000000, 0.000000], [-0.346088, 0.319164, -0.376498, 0.647103, -0.186992, 0.173832, -0.276391, -0.276204, 0.000000, 0.000000], [-0.234750, 0.638700, 0.510492, 0.144312, 0.311613, 0.117330, 0.282909, 0.254206, 0.000000, 0.000000], [-0.246212, 0.265962, -0.321149, -0.176168, -0.242824, -0.590629, -0.124250, 0.557878, 0.000000, 0.000000], [-0.037079, 0.236377, -0.403901, -0.286590, -0.294577, 0.208113, 0.726741, -0.198095, 0.000000, 0.000000], [0.583335, -0.059159, -0.274057, 0.504972, 0.112532, 0.095348, 0.248409, 0.492600, 0.000000, 0.000000], [0.618184, 0.586534, -0.067581, -0.195355, 0.065824, -0.181297, -0.286402, -0.334467, 0.000000, 0.000000]]
fourier: [[14.380405, 14.405001, 15.106165, 20.076446, 86.028627], [2.999107, 3.073013, 3.177327, 3.657368, 37.560864], [26.197641, 28.543032, 28.808450, 30.730712, 131.962572], [22.118361, 23.158002, 27.794997, 28.586142, 199.312519], [19.106566, 19.952354, 21.347164, 22.075644, 141.204192], [5.283369, 6.247180, 6.716028, 7.039606, 75.300570], [42.993470, 43.540006, 47.339336, 51.800397, 143.210983], [40.972378, 42.089330, 46.635416, 48.177957, 64.259235]]
### 6
mean: [-1.056862, -0.107448, -0.896669, 0.197344, -1.263890, -0.198911, 2.192726, 0.046772]
std: [1.341929, 0.662848, 1.695655, 0.957031, 2.065157, 0.287876, 4.213951, 0.634167]
pca: [[-0.251829, -0.010181, 0.611337, 0.014537, -0.146552, 0.007186, 0.298217, 0.672362, 0.000000, 0.000000], [0.123061, -0.255321, -0.097289, 0.703309, -0.159073, 0.166175, 0.575794, -0.176355, 0.000000, 0.000000], [-0.315490, 0.584178, -0.251270, 0.566647, -0.046935, -0.046363, -0.332751, 0.244746, 0.000000, 0.000000], [-0.175495, -0.537007, -0.286960, 0.049575, 0.179664, 0.578095, -0.316762, 0.359458, 0.000000, 0.000000], [-0.387315, -0.191153, 0.586601, 0.255154, 0.070379, 0.065714, -0.369708, -0.508220, 0.000000, 0.000000], [-0.053017, 0.146052, 0.054913, 0.071723, 0.945815, -0.016725, 0.269327, 0.017753, 0.000000, 0.000000], [0.790802, -0.004900, 0.313834, 0.286589, 0.109353, 0.003102, -0.378757, 0.196365, 0.000000, 0.000000], [0.113641, 0.497165, 0.160347, -0.170931, -0.085197, 0.794596, 0.125649, -0.174799, 0.000000, 0.000000]]
fourier: [[20.363378, 21.898727, 21.921811, 26.936918, 95.117564], [9.951082, 10.527673, 10.634125, 11.647729, 12.107712], [27.012336, 27.036611, 29.606217, 31.324839, 80.700177], [14.297504, 15.070355, 15.615611, 17.760958, 20.939177], [31.336689, 33.093224, 33.797647, 42.144165, 113.750136], [4.511520, 4.710576, 5.070858, 5.149136, 17.902002], [63.942755, 68.742478, 68.970740, 84.438117, 197.345363], [9.231849, 9.313400, 10.212161, 10.521202, 14.173658]]
### 8
mean: [1.847467, -0.143803, 1.576521, 0.130038, -1.153409, -1.018675, -0.793391, 2.119384]
std: [4.305826, 0.266981, 3.964861, 0.122607, 1.456977, 1.798665, 1.265972, 4.228659]
pca: [[0.559793, -0.151915, 0.448359, -0.001218, -0.008350, -0.343107, 0.119197, 0.574914, 0.000000, 0.000000], [-0.034079, 0.275621, 0.056036, 0.652874, -0.367971, 0.152098, 0.578008, 0.029283, 0.000000, 0.000000], [0.515489, 0.070997, 0.080330, 0.075731, 0.631318, 0.361345, 0.228692, -0.368252, 0.000000, 0.000000], [0.004294, 0.796491, -0.144566, -0.392261, 0.119365, -0.338679, 0.239189, 0.068215, 0.000000, 0.000000], [-0.189259, 0.138415, 0.664485, 0.196661, 0.047140, -0.413597, -0.199451, -0.501738, 0.000000, 0.000000], [-0.233702, 0.382397, 0.381616, 0.064524, 0.165621, 0.546073, -0.366316, 0.435372, 0.000000, 0.000000], [-0.164453, -0.172634, 0.425712, -0.599274, -0.255944, 0.318571, 0.468034, -0.129392, 0.000000, 0.000000], [0.549767, 0.257543, -0.008938, -0.110367, -0.597124, 0.207666, -0.386217, -0.265181, 0.000000, 0.000000]]
fourier: [[65.344101, 69.872543, 71.189235, 87.955929, 166.272000], [4.112536, 4.117961, 4.178420, 5.649368, 12.942243], [60.187868, 64.593448, 65.332046, 80.465091, 141.886898], [1.762566, 2.040356, 2.226421, 2.444413, 11.703401], [22.105258, 23.410927, 23.509510, 29.069764, 103.806792], [27.177457, 28.917628, 29.206351, 36.441976, 91.680727], [19.060563, 20.545815, 21.186877, 24.960482, 71.405201], [64.373462, 68.992454, 69.678755, 85.666271, 190.744587]]
### 10
mean: [-2.097443, -0.621845, -0.552033, 0.817009, 1.006024, -1.195069, 1.457735, 0.907103]
std: [3.993957, 1.095965, 0.738243, 2.317804, 3.184814, 1.839210, 3.404357, 2.596407]
pca: [[0.538940, 0.223254, -0.159601, 0.141762, 0.715239, -0.259628, -0.093865, -0.162321, 0.000000, 0.000000], [0.147882, -0.055303, 0.297813, 0.765883, -0.161085, 0.295623, -0.401227, -0.159623, 0.000000, 0.000000], [0.099593, 0.032362, 0.774427, -0.343941, 0.275439, 0.368891, 0.177698, -0.165764, 0.000000, 0.000000], [-0.312758, -0.156104, 0.374092, 0.260233, 0.318493, -0.396786, 0.005316, 0.641281, 0.000000, 0.000000], [-0.429620, 0.891278, 0.010601, 0.094641, 0.051041, 0.083865, -0.047304, -0.010226, 0.000000, 0.000000], [0.248181, 0.089644, -0.182216, 0.311216, 0.011403, 0.421393, 0.695774, 0.372167, 0.000000, 0.000000], [-0.459370, -0.306874, -0.330849, -0.002221, 0.524848, 0.523084, -0.186103, -0.040308, 0.000000, 0.000000], [-0.350356, -0.158426, 0.058108, 0.318580, 0.083549, -0.305710, 0.526905, -0.607631, 0.000000, 0.000000]]
fourier: [[60.284351, 64.946048, 65.761164, 81.467035, 188.769829], [16.531044, 17.879950, 17.911286, 22.347600, 55.966071], [11.269109, 12.063239, 12.122643, 15.083951, 49.682972], [35.054650, 37.618172, 38.168805, 47.311928, 73.530840], [48.075550, 51.459029, 52.169653, 65.538503, 90.542169], [27.777443, 29.907214, 30.253008, 37.502892, 107.556222], [51.456162, 55.405151, 55.972925, 69.403064, 131.196165], [39.222577, 42.183409, 42.744611, 53.000175, 81.639296]]
### 12
mean: [-0.797464]
std: [2.507605]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.525861, 40.446233, 41.183948, 51.715503, 71.771793]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.157092,
0.980573,
-0.184011
]
],
"network.8.bias": [
0.101862,
-0.117607,
-0.209601,
-0.126828,
-0.399779,
-0.25114,
-0.028458,
0.213317
],
"network.10.weight": [
[
-0.409721,
-0.79051,
-0.083073,
0.098727,
-0.208597,
-0.193628,
0.345529,
-0.455203
],
[
0.090074,
-0.453936,
-0.336461,
-0.055889,
-0.007064,
0.091411,
-0.217199,
-0.039967
],
[
-0.185261,
-0.250562,
-0.149713,
-0.310794,
-0.116257,
0.251797,
0.016701,
0.152577
],
[
0.201754,
-0.407591,
0.021336,
-0.105077,
0.100267,
0.123229,
0.146604,
0.325616
],
[
0.319589,
0.193598,
0.520731,
-0.31669,
-0.318919,
0.107876,
-0.283256,
-0.046941
],
[
-0.098393,
-0.29393,
-0.09544,
0.091718,
-0.309536,
0.128559,
-0.307865,
-0.248463
],
[
0.216574,
-0.187546,
0.311602,
0.201148,
-0.201806,
0.07778,
-0.224763,
0.298194
],
[
0.276131,
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0.078387,
0.006956,
-0.116458,
-0.074013,
0.253648,
0.263081
]
],
"network.10.bias": [
-0.211868,
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-0.28413,
-0.369829,
-0.325552,
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],
"network.12.weight": [
[
0.214864,
-0.015266,
0.027294,
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-0.316361,
-0.069746,
-0.295879,
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]
],
"network.12.bias": [
0.283847
]
}
## Activation Signature
### 0
mean: [-1.009700, 0.375585, -2.564209, -0.365108, -3.428299, 3.155066, -0.621480, -1.289269]
std: [2.852535, 2.345353, 1.729918, 1.488445, 2.209950, 2.074584, 0.972291, 1.642708]
pca: [[0.656704, -0.188088, 0.005447, 0.267032, 0.483632, 0.202084, 0.335867, -0.272916, 0.000000, 0.000000], [0.458259, -0.410247, 0.057040, -0.095859, -0.391247, 0.376635, -0.484579, 0.281972, 0.000000, 0.000000], [0.218413, 0.424820, -0.149824, -0.564069, 0.173466, 0.238922, 0.284841, 0.512732, 0.000000, 0.000000], [0.222030, -0.284188, -0.412188, 0.012306, -0.459252, -0.486564, 0.479378, 0.149765, 0.000000, 0.000000], [0.189432, 0.622747, -0.249675, 0.297388, -0.482950, 0.300261, 0.001056, -0.319570, 0.000000, 0.000000], [-0.421950, -0.331726, 0.059500, -0.011124, -0.201932, 0.632182, 0.514840, -0.052538, 0.000000, 0.000000], [-0.005097, 0.156444, 0.376650, 0.643276, -0.030639, -0.025616, 0.150611, 0.628928, 0.000000, 0.000000], [0.218597, 0.112934, 0.772417, -0.314342, -0.311556, -0.181693, 0.231719, -0.245457, 0.000000, 0.000000]]
fourier: [[43.248024, 46.068507, 49.389180, 50.821690, 90.873019], [34.103589, 35.032556, 35.668266, 37.802413, 39.741378], [26.819869, 28.494318, 28.651434, 35.376331, 230.778799], [18.422884, 22.780109, 26.346165, 32.859731, 33.878236], [36.837183, 40.474112, 41.553555, 43.611757, 308.546937], [31.792385, 33.301720, 36.801036, 40.025701, 283.955975], [14.334965, 16.320945, 18.360523, 20.315692, 55.933215], [27.314896, 28.674606, 33.387003, 34.741802, 116.034181]]
### 2
mean: [-3.609810, 1.757479, -1.061626, -0.880674, -0.121493, 1.772721, -1.721024, 1.707438]
std: [2.046173, 1.263054, 1.238866, 1.598343, 1.337119, 1.524439, 0.862603, 2.592325]
pca: [[-0.388161, 0.625837, -0.141682, -0.073525, 0.078051, 0.613045, -0.192432, 0.115038, 0.000000, 0.000000], [-0.074054, -0.606845, -0.083894, 0.066902, 0.113984, 0.607116, 0.374533, 0.304768, 0.000000, 0.000000], [-0.295912, -0.032291, -0.156876, -0.387766, 0.781654, -0.318028, 0.119349, 0.100258, 0.000000, 0.000000], [-0.370908, -0.162014, 0.867394, -0.015372, 0.056242, 0.020578, -0.266443, 0.094829, 0.000000, 0.000000], [0.291103, 0.284209, 0.146416, -0.070346, -0.091731, -0.174857, 0.175596, 0.859229, 0.000000, 0.000000], [0.364870, 0.034371, 0.022804, 0.655583, 0.550540, 0.089058, -0.347034, 0.062622, 0.000000, 0.000000], [-0.121448, 0.341236, 0.272415, 0.381344, 0.107765, -0.046624, 0.760050, -0.240235, 0.000000, 0.000000], [0.621361, 0.119908, 0.315814, -0.509273, 0.208919, 0.336661, 0.092289, -0.273732, 0.000000, 0.000000]]
fourier: [[38.301347, 38.818396, 41.273861, 43.389484, 324.882918], [19.866712, 20.900132, 21.612353, 24.797262, 158.173081], [21.077410, 21.812831, 22.348624, 22.554782, 95.546307], [25.479793, 26.801356, 28.945706, 30.014414, 79.260656], [18.891683, 18.941334, 21.123241, 21.619090, 28.215982], [24.690573, 25.936252, 27.011897, 27.816731, 159.544910], [14.260632, 16.103945, 16.982417, 17.034940, 154.892174], [41.029236, 42.591549, 44.423243, 49.405595, 153.669402]]
### 4
mean: [-0.955874, -0.417343, -1.466251, -2.214583, -1.568936, -0.836673, 1.591233, -0.058961]
std: [0.951953, 0.190589, 1.677863, 1.354924, 1.205723, 0.349891, 2.748386, 2.996126]
pca: [[-0.200368, -0.018195, -0.494566, -0.189775, 0.820990, 0.051471, -0.041933, -0.021886, 0.000000, 0.000000], [0.023271, 0.125434, -0.084289, -0.343638, -0.176553, 0.720593, -0.393050, 0.391944, 0.000000, 0.000000], [-0.346088, 0.319164, -0.376498, 0.647103, -0.186992, 0.173832, -0.276391, -0.276204, 0.000000, 0.000000], [-0.234750, 0.638700, 0.510492, 0.144312, 0.311613, 0.117330, 0.282909, 0.254206, 0.000000, 0.000000], [-0.246212, 0.265962, -0.321149, -0.176168, -0.242824, -0.590629, -0.124250, 0.557878, 0.000000, 0.000000], [-0.037079, 0.236377, -0.403901, -0.286590, -0.294577, 0.208113, 0.726741, -0.198095, 0.000000, 0.000000], [0.583335, -0.059159, -0.274057, 0.504972, 0.112532, 0.095348, 0.248409, 0.492600, 0.000000, 0.000000], [0.618184, 0.586534, -0.067581, -0.195355, 0.065824, -0.181297, -0.286402, -0.334467, 0.000000, 0.000000]]
fourier: [[14.380405, 14.405001, 15.106165, 20.076446, 86.028627], [2.999107, 3.073013, 3.177327, 3.657368, 37.560864], [26.197641, 28.543032, 28.808450, 30.730712, 131.962572], [22.118361, 23.158002, 27.794997, 28.586142, 199.312519], [19.106566, 19.952354, 21.347164, 22.075644, 141.204192], [5.283369, 6.247180, 6.716028, 7.039606, 75.300570], [42.993470, 43.540006, 47.339336, 51.800397, 143.210983], [40.972378, 42.089330, 46.635416, 48.177957, 64.259235]]
### 6
mean: [-1.056862, -0.107448, -0.896669, 0.197344, -1.263890, -0.198911, 2.192726, 0.046772]
std: [1.341929, 0.662848, 1.695655, 0.957031, 2.065157, 0.287876, 4.213951, 0.634167]
pca: [[-0.251829, -0.010181, 0.611337, 0.014537, -0.146552, 0.007186, 0.298217, 0.672362, 0.000000, 0.000000], [0.123061, -0.255321, -0.097289, 0.703309, -0.159073, 0.166175, 0.575794, -0.176355, 0.000000, 0.000000], [-0.315490, 0.584178, -0.251270, 0.566647, -0.046935, -0.046363, -0.332751, 0.244746, 0.000000, 0.000000], [-0.175495, -0.537007, -0.286960, 0.049575, 0.179664, 0.578095, -0.316762, 0.359458, 0.000000, 0.000000], [-0.387315, -0.191153, 0.586601, 0.255154, 0.070379, 0.065714, -0.369708, -0.508220, 0.000000, 0.000000], [-0.053017, 0.146052, 0.054913, 0.071723, 0.945815, -0.016725, 0.269327, 0.017753, 0.000000, 0.000000], [0.790802, -0.004900, 0.313834, 0.286589, 0.109353, 0.003102, -0.378757, 0.196365, 0.000000, 0.000000], [0.113641, 0.497165, 0.160347, -0.170931, -0.085197, 0.794596, 0.125649, -0.174799, 0.000000, 0.000000]]
fourier: [[20.363378, 21.898727, 21.921811, 26.936918, 95.117564], [9.951082, 10.527673, 10.634125, 11.647729, 12.107712], [27.012336, 27.036611, 29.606217, 31.324839, 80.700177], [14.297504, 15.070355, 15.615611, 17.760958, 20.939177], [31.336689, 33.093224, 33.797647, 42.144165, 113.750136], [4.511520, 4.710576, 5.070858, 5.149136, 17.902002], [63.942755, 68.742478, 68.970740, 84.438117, 197.345363], [9.231849, 9.313400, 10.212161, 10.521202, 14.173658]]
### 8
mean: [1.847467, -0.143803, 1.576521, 0.130038, -1.153409, -1.018675, -0.793391, 2.119384]
std: [4.305826, 0.266981, 3.964861, 0.122607, 1.456977, 1.798665, 1.265972, 4.228659]
pca: [[0.559793, -0.151915, 0.448359, -0.001218, -0.008350, -0.343107, 0.119197, 0.574914, 0.000000, 0.000000], [-0.034079, 0.275621, 0.056036, 0.652874, -0.367971, 0.152098, 0.578008, 0.029283, 0.000000, 0.000000], [0.515489, 0.070997, 0.080330, 0.075731, 0.631318, 0.361345, 0.228692, -0.368252, 0.000000, 0.000000], [0.004294, 0.796491, -0.144566, -0.392261, 0.119365, -0.338679, 0.239189, 0.068215, 0.000000, 0.000000], [-0.189259, 0.138415, 0.664485, 0.196661, 0.047140, -0.413597, -0.199451, -0.501738, 0.000000, 0.000000], [-0.233702, 0.382397, 0.381616, 0.064524, 0.165621, 0.546073, -0.366316, 0.435372, 0.000000, 0.000000], [-0.164453, -0.172634, 0.425712, -0.599274, -0.255944, 0.318571, 0.468034, -0.129392, 0.000000, 0.000000], [0.549767, 0.257543, -0.008938, -0.110367, -0.597124, 0.207666, -0.386217, -0.265181, 0.000000, 0.000000]]
fourier: [[65.344101, 69.872543, 71.189235, 87.955929, 166.272000], [4.112536, 4.117961, 4.178420, 5.649368, 12.942243], [60.187868, 64.593448, 65.332046, 80.465091, 141.886898], [1.762566, 2.040356, 2.226421, 2.444413, 11.703401], [22.105258, 23.410927, 23.509510, 29.069764, 103.806792], [27.177457, 28.917628, 29.206351, 36.441976, 91.680727], [19.060563, 20.545815, 21.186877, 24.960482, 71.405201], [64.373462, 68.992454, 69.678755, 85.666271, 190.744587]]
### 10
mean: [-2.097443, -0.621845, -0.552033, 0.817009, 1.006024, -1.195069, 1.457735, 0.907103]
std: [3.993957, 1.095965, 0.738243, 2.317804, 3.184814, 1.839210, 3.404357, 2.596407]
pca: [[0.538940, 0.223254, -0.159601, 0.141762, 0.715239, -0.259628, -0.093865, -0.162321, 0.000000, 0.000000], [0.147882, -0.055303, 0.297813, 0.765883, -0.161085, 0.295623, -0.401227, -0.159623, 0.000000, 0.000000], [0.099593, 0.032362, 0.774427, -0.343941, 0.275439, 0.368891, 0.177698, -0.165764, 0.000000, 0.000000], [-0.312758, -0.156104, 0.374092, 0.260233, 0.318493, -0.396786, 0.005316, 0.641281, 0.000000, 0.000000], [-0.429620, 0.891278, 0.010601, 0.094641, 0.051041, 0.083865, -0.047304, -0.010226, 0.000000, 0.000000], [0.248181, 0.089644, -0.182216, 0.311216, 0.011403, 0.421393, 0.695774, 0.372167, 0.000000, 0.000000], [-0.459370, -0.306874, -0.330849, -0.002221, 0.524848, 0.523084, -0.186103, -0.040308, 0.000000, 0.000000], [-0.350356, -0.158426, 0.058108, 0.318580, 0.083549, -0.305710, 0.526905, -0.607631, 0.000000, 0.000000]]
fourier: [[60.284351, 64.946048, 65.761164, 81.467035, 188.769829], [16.531044, 17.879950, 17.911286, 22.347600, 55.966071], [11.269109, 12.063239, 12.122643, 15.083951, 49.682972], [35.054650, 37.618172, 38.168805, 47.311928, 73.530840], [48.075550, 51.459029, 52.169653, 65.538503, 90.542169], [27.777443, 29.907214, 30.253008, 37.502892, 107.556222], [51.456162, 55.405151, 55.972925, 69.403064, 131.196165], [39.222577, 42.183409, 42.744611, 53.000175, 81.639296]]
### 12
mean: [-0.797464]
std: [2.507605]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.525861, 40.446233, 41.183948, 51.715503, 71.771793]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.0097001791000366, "std": 2.8525354862213135, "pca": [0.6567039489746094, -0.18808813393115997, 0.005446838214993477, 0.26703178882598877, 0.4836317300796509, 0.20208369195461273, 0.3358665108680725, -0.2729164659976959, 0.0, 0.0], "fourier": [43.24802355110512, 46.068507157685325, 49.3891796887899, 50.82168960358111, 90.87301880121231]}, "1": {"mean": 0.37558504939079285, "std": 2.345353126525879, "pca": [0.458258718252182, -0.41024741530418396, 0.057039957493543625, -0.09585936367511749, -0.3912470042705536, 0.37663549184799194, -0.48457908630371094, 0.2819717228412628, 0.0, 0.0], "fourier": [34.10358946226297, 35.03255593250725, 35.66826604663525, 37.802413260770194, 39.741378153088306]}, "2": {"mean": -2.564209222793579, "std": 1.7299184799194336, "pca": [0.2184128612279892, 0.424820214509964, -0.14982368052005768, -0.5640693306922913, 0.17346622049808502, 0.2389221042394638, 0.2848406732082367, 0.5127316117286682, 0.0, 0.0], "fourier": [26.819869467866535, 28.494317582003866, 28.65143425741387, 35.37633147475484, 230.7787987291813]}, "3": {"mean": -0.36510810256004333, "std": 1.4884445667266846, "pca": [0.22203049063682556, -0.28418752551078796, -0.412187784910202, 0.01230557356029749, -0.4592515230178833, -0.48656418919563293, 0.47937828302383423, 0.1497647762298584, 0.0, 0.0], "fourier": [18.422884298833285, 22.780108864209424, 26.346165203992328, 32.8597314953804, 33.87823552374249]}, "4": {"mean": -3.4282991886138916, "std": 2.2099504470825195, "pca": [0.18943192064762115, 0.6227472424507141, -0.24967458844184875, 0.29738834500312805, -0.4829502999782562, 0.30026140809059143, 0.0010559010552242398, -0.31957030296325684, 0.0, 0.0], "fourier": [36.83718257607195, 40.47411242719541, 41.55355464038035, 43.61175659367347, 308.5469368696213]}, "5": {"mean": 3.1550662517547607, "std": 2.0745842456817627, "pca": [-0.42195039987564087, -0.3317263424396515, 0.0595000796020031, -0.011123874224722385, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.061712, -0.572723, 0.141541, 0.068523, 0.816453], [-0.749255, -0.135412, 0.028043, -0.005888, 1.08257], [-0.216142, -0.395608, -0.35785, -0.244309, -0.305778], [-0.231491, -0.222324, 0.184767, -0.199086, 0.698054], [-0.409887, -0.277577, -0.01932, -0.471375, -0.68898], [0.691359, 0.471846, 0.109713, 0.184706, 0.080333], [-0.289604, 0.207487, 0.13253, 0.103636, -0.362962], [-0.629345, 0.31124, -0.418684, 0.124955, 0.072816]], "network.0.bias": [-0.094394, 0.173618, 0.074195, -0.491869, -0.511474, 0.710552, -0.690601, -0.556414], "network.2.weight": [[-0.524995, -0.376504, -0.300763, -0.444088, -0.400801, -0.718894, -0.085947, -0.411875], [-0.124819, -0.250065, -0.0833, 0.244981, 0.055407, 0.52757, 0.486416, 0.221377], [-0.353755, -0.615504, -0.0079, 0.211631, 0.137017, -0.091332, 0.034913, 0.055345], [-0.647675, -0.377578, 0.029983, -0.287159, -0.234683, 0.055383, -0.166382, -0.711932], [0.334539, 0.521489, 0.046629, 0.006636, 0.066369, -0.159105, -0.33995, -0.048588], [0.710547, 0.389782, -0.200069, 0.181999, -0.34695, 0.101798, 0.241884, -0.163874], [-0.06297, -0.070665, 0.079392, -0.336544, 0.241526, -0.335032, -0.074308, -0.553012], [0.554435, 0.995317, -0.136961, 0.422027, -0.250951, 0.089084, -0.48529, 0.142285]], "network.2.bias": [-0.436851, 0.196737, -0.095318, -0.11298, -0.253634, 0.614864, -0.329419, 0.020968], "network.4.weight": [[0.019648, 0.138752, -0.258586, 0.203333, -0.347458, -0.44649, 0.136728, 0.063014], [-0.160896, -0.093632, -0.379638, -0.28894, 0.125454, -0.284203, -0.473974, 0.134472], [-0.027275, -0.119247, -0.001152, -0.499436, -0.641116, -0.323974, 0.018429, -0.225835], [-0.490524, -0.512795, -0.104485, 0.494024, -0.065048, -0.316327, 0.044433, -0.337028], [-0.221368, -0.063171, 0.114581, -0.604014, -0.220972, -0.600161, 0.131276, -0.036249], [-0.341716, -0.146992, 0.039076, -0.667044, -0.065209, -0.525217, 0.335515, 0.224203], [0.170236, -0.331171, 0.086177, 0.136015, 0.071993, 0.578253, -0.3082, 0.636366], [0.07101, -0.916106, -0.418053, 0.024031, 0.425963, -0.115176, -0.19379, 0.827815]], "network.4.bias": [-0.379247, -0.020925, -0.009207, -0.16419, -0.217383, 0.020478, 0.023328, 0.160562], "network.6.weight": [[-0.294536, -0.151575, 0.068544, 0.138185, -0.315163, 0.125892, -0.23007, -0.302583], [-0.148352, -0.154811, -0.008297, 0.073114, -0.265115, -0.164496, 0.276991, -0.040182], [0.311241, -0.043116, 0.099644, -0.435421, 0.062416, 0.421788, -0.665621, 0.052163], [-0.310074, -0.331169, 0.091716, -0.105178, 0.773336, 0.255292, 0.174688, -0.593687], [0.039692, -0.196073, -0.39601, 0.513855, 0.575915, 0.000679, -0.242899, -0.592157], [-0.021989, -0.103461, 0.518131, -0.21356, 0.07487, 0.224581, -0.142127, 0.043358], [-0.011782, -0.16436, -0.173533, -0.227878, 0.007494, 0.253824, 0.745782, 0.923548], [0.21282, 0.141041, 0.09536, 0.160994, 0.028164, -0.3882, -0.207591, 0.49239]], "network.6.bias": [-0.389028, -0.517186, 0.131226, 0.492981, -0.292979, -0.010838, 0.083761, -0.096793], "network.8.weight": [[-0.137726, 0.39312, 0.182557, -0.847809, -0.243457, -0.272459, 0.930779, 0.062183], [0.269555, 0.313924, 0.244109, 0.120021, 0.63553, -0.040697, -0.013889, -0.611414], [0.100668, 0.152475, 0.205478, -0.506289, 0.001647, 0.211453, 0.910036, -0.061145], [0.076847, -0.595474, -0.405433, 0.307867, 0.024958, -0.038671, 0.165388, -0.558571], [-0.087536, 0.046048, 0.301124, -0.080291, 0.131746, -0.05887, -0.295475, -0.438255], [-0.505984, -0.213786, 0.113037, 0.184483, -0.240867, 0.123203, -0.322015, -0.533184], [-0.136759, -0.240346, -0.223569, -0.154711, -0.058773, -0.12493, -0.317776, 0.29923], [-0.115777, 0.201799, -0.242451, -0.512658, -0.130133, -0.157092, 0.980573, -0.184011]], "network.8.bias": [0.101862, -0.117607, -0.209601, -0.126828, -0.399779, -0.25114, -0.028458, 0.213317], "network.10.weight": [[-0.409721, -0.79051, -0.083073, 0.098727, -0.208597, -0.193628, 0.345529, -0.455203], [0.090074, -0.453936, -0.336461, -0.055889, -0.007064, 0.091411, -0.217199, -0.039967], [-0.185261, -0.250562, -0.149713, -0.310794, -0.116257, 0.251797, 0.016701, 0.152577], [0.201754, -0.407591, 0.021336, -0.105077, 0.100267, 0.123229, 0.146604, 0.325616], [0.319589, 0.193598, 0.520731, -0.31669, -0.318919, 0.107876, -0.283256, -0.046941], [-0.098393, -0.29393, -0.09544, 0.091718, -0.309536, 0.128559, -0.307865, -0.248463], [0.216574, -0.187546, 0.311602, 0.201148, -0.201806, 0.07778, -0.224763, 0.298194], [0.276131, -0.128138, 0.078387, 0.006956, -0.116458, -0.074013, 0.253648, 0.263081]], "network.10.bias": [-0.211868, -0.11998, -0.217628, -0.28413, -0.369829, -0.325552, -0.157529, -0.318813], "network.12.weight": [[0.214864, -0.015266, 0.027294, -0.140124, -0.316361, -0.069746, -0.295879, -0.088]], "network.12.bias": [0.283847]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6807601451873779, "train_acc": 0.575, "val_loss": 0.7482194304466248, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6847920417785645, "train_acc": 0.575, "val_loss": 0.6960969567298889, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7809063196182251, "train_acc": 0.505, "val_loss": 0.7308866381645203, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7009685337543488, "train_acc": 0.505, "val_loss": 0.6917961239814758, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6966330409049988, "train_acc": 0.525, "val_loss": 0.6912455558776855, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6914148330688477, "train_acc": 0.495, "val_loss": 0.6832075715065002, "val_acc": 0.52}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6799335479736328, "train_acc": 0.545, "val_loss": 0.6388636231422424, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.600528746843338, "train_acc": 0.675, "val_loss": 0.5641230940818787, "val_acc": 0.56}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5287051200866699, "train_acc": 0.65, "val_loss": 0.5082626342773438, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4900132864713669, "train_acc": 0.74, "val_loss": 0.4962032437324524, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5059911459684372, "train_acc": 0.75, "val_loss": 0.5781830549240112, "val_acc": 0.68}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5249662101268768, "train_acc": 0.705, "val_loss": 0.5043383836746216, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7482194304466248, "final_val_loss": 0.6960969567298889, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.7308866381645203, "final_val_loss": 0.5043383836746216, "initial_val_acc": 0.48, "final_val_acc": 0.74, "best_val_acc": 0.76, "best_epoch": 8}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
60
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.84, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7048, "learning_rate": 0.04198946419763812, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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],
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}
## Activation Signature
### 0
mean: [-1.707604, 2.254107, -2.066168, 0.167872, -2.211740]
std: [1.166765, 2.054676, 1.240950, 1.170058, 1.799945]
pca: [[-0.372113, -0.319688, 0.105290, 0.023717, 0.864686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641904, -0.473738, 0.600837, -0.041015, 0.029055, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337232, -0.192265, 0.278881, 0.834847, -0.273066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108802, 0.717583, 0.671397, -0.057732, 0.138309, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.569146, -0.348541, 0.315214, -0.545393, -0.397214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.830085, 19.359079, 22.130885, 22.135982, 153.684371], [33.473574, 33.714955, 35.809565, 39.567642, 202.869607], [19.721551, 20.896101, 20.967229, 26.032974, 185.955068], [16.882525, 17.277736, 19.810474, 21.238122, 22.946398], [31.592353, 31.602214, 31.725299, 32.887066, 199.056579]]
### 2
mean: [-0.870174, 1.967434, 0.756175, 1.321854, -0.477055]
std: [0.307386, 1.620943, 0.394656, 1.142628, 0.160958]
pca: [[-0.042863, 0.806557, 0.190840, 0.366397, -0.420668, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.802943, 0.047440, -0.099876, -0.423278, -0.404838, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.171082, -0.522363, -0.078887, 0.705610, -0.440181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.565586, 0.123642, 0.287788, 0.394078, 0.653227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065494, -0.243032, 0.929817, -0.182774, -0.196672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.699719, 4.749742, 5.807514, 6.643048, 78.315690], [25.336600, 26.295991, 28.776302, 29.556214, 177.069068], [6.209992, 7.100543, 7.869493, 8.565123, 68.055764], [18.203340, 18.423775, 20.171186, 20.936086, 118.966823], [2.457152, 2.492614, 2.503001, 3.129432, 42.934953]]
### 4
mean: [1.678879, -0.166970, 2.101547, -0.085880, 1.764208]
std: [1.404477, 0.763021, 1.292385, 0.133116, 1.559521]
pca: [[0.543458, -0.611521, -0.253209, -0.273837, 0.437715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294976, 0.427218, 0.060412, -0.360116, 0.772749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499943, 0.615975, -0.601616, 0.034504, -0.086592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051470, -0.071679, -0.129079, 0.883405, 0.441756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604193, 0.242824, 0.744065, 0.117200, 0.092836, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.207240, 22.504227, 24.242316, 26.079214, 151.099083], [12.176552, 12.191372, 13.100689, 14.167212, 15.027338], [20.801377, 20.996430, 23.154399, 23.851133, 189.139220], [2.158636, 2.160252, 2.387549, 2.464192, 7.729230], [24.746311, 25.225111, 27.563326, 28.949350, 158.778717]]
### 6
mean: [0.352524, 2.571546, -0.418300, -0.498285, 2.719635]
std: [0.428979, 2.166845, 0.075568, 0.048302, 2.409880]
pca: [[-0.124375, 0.928931, 0.072350, 0.329692, -0.087680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.663271, 0.016380, 0.187477, 0.333872, 0.642795, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019470, -0.267403, 0.720645, 0.473756, -0.429352, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010562, -0.219018, -0.647140, 0.711432, -0.164299, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737640, 0.131706, -0.146622, -0.221930, -0.606457, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.068500, 7.350362, 8.132957, 8.495310, 31.727152], [34.098601, 34.668102, 38.060286, 40.628759, 231.439110], [1.242539, 1.245275, 1.325724, 1.368454, 37.646976], [0.772264, 0.793761, 0.823479, 0.943916, 44.845617], [38.028104, 38.635785, 42.251636, 45.129151, 244.767147]]
### 8
mean: [-3.429460]
std: [3.197054]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.231016, 50.340634, 55.882542, 60.999585, 308.651343]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.010575,
-0.416981,
-0.255672,
-0.167333,
-0.042616
],
[
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0.202658,
0.173284,
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"network.2.weight": [
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],
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}
## Activation Signature
### 0
mean: [-1.707604, 2.254107, -2.066168, 0.167872, -2.211740]
std: [1.166765, 2.054676, 1.240950, 1.170058, 1.799945]
pca: [[-0.372113, -0.319688, 0.105290, 0.023717, 0.864686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.641904, -0.473738, 0.600837, -0.041015, 0.029055, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.337232, -0.192265, 0.278881, 0.834847, -0.273066, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108802, 0.717583, 0.671397, -0.057732, 0.138309, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.569146, -0.348541, 0.315214, -0.545393, -0.397214, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.830085, 19.359079, 22.130885, 22.135982, 153.684371], [33.473574, 33.714955, 35.809565, 39.567642, 202.869607], [19.721551, 20.896101, 20.967229, 26.032974, 185.955068], [16.882525, 17.277736, 19.810474, 21.238122, 22.946398], [31.592353, 31.602214, 31.725299, 32.887066, 199.056579]]
### 2
mean: [-0.870174, 1.967434, 0.756175, 1.321854, -0.477055]
std: [0.307386, 1.620943, 0.394656, 1.142628, 0.160958]
pca: [[-0.042863, 0.806557, 0.190840, 0.366397, -0.420668, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.802943, 0.047440, -0.099876, -0.423278, -0.404838, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.171082, -0.522363, -0.078887, 0.705610, -0.440181, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.565586, 0.123642, 0.287788, 0.394078, 0.653227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.065494, -0.243032, 0.929817, -0.182774, -0.196672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.699719, 4.749742, 5.807514, 6.643048, 78.315690], [25.336600, 26.295991, 28.776302, 29.556214, 177.069068], [6.209992, 7.100543, 7.869493, 8.565123, 68.055764], [18.203340, 18.423775, 20.171186, 20.936086, 118.966823], [2.457152, 2.492614, 2.503001, 3.129432, 42.934953]]
### 4
mean: [1.678879, -0.166970, 2.101547, -0.085880, 1.764208]
std: [1.404477, 0.763021, 1.292385, 0.133116, 1.559521]
pca: [[0.543458, -0.611521, -0.253209, -0.273837, 0.437715, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294976, 0.427218, 0.060412, -0.360116, 0.772749, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.499943, 0.615975, -0.601616, 0.034504, -0.086592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.051470, -0.071679, -0.129079, 0.883405, 0.441756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604193, 0.242824, 0.744065, 0.117200, 0.092836, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.207240, 22.504227, 24.242316, 26.079214, 151.099083], [12.176552, 12.191372, 13.100689, 14.167212, 15.027338], [20.801377, 20.996430, 23.154399, 23.851133, 189.139220], [2.158636, 2.160252, 2.387549, 2.464192, 7.729230], [24.746311, 25.225111, 27.563326, 28.949350, 158.778717]]
### 6
mean: [0.352524, 2.571546, -0.418300, -0.498285, 2.719635]
std: [0.428979, 2.166845, 0.075568, 0.048302, 2.409880]
pca: [[-0.124375, 0.928931, 0.072350, 0.329692, -0.087680, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.663271, 0.016380, 0.187477, 0.333872, 0.642795, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.019470, -0.267403, 0.720645, 0.473756, -0.429352, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010562, -0.219018, -0.647140, 0.711432, -0.164299, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.737640, 0.131706, -0.146622, -0.221930, -0.606457, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.068500, 7.350362, 8.132957, 8.495310, 31.727152], [34.098601, 34.668102, 38.060286, 40.628759, 231.439110], [1.242539, 1.245275, 1.325724, 1.368454, 37.646976], [0.772264, 0.793761, 0.823479, 0.943916, 44.845617], [38.028104, 38.635785, 42.251636, 45.129151, 244.767147]]
### 8
mean: [-3.429460]
std: [3.197054]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.231016, 50.340634, 55.882542, 60.999585, 308.651343]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.010575, -0.416981, -0.255672, -0.167333, -0.042616], [0.57639, 0.518712, 0.202658, 0.173284, -0.523193], [-0.280247, -0.116799, -0.218709, -0.288266, -0.177852], [-0.292666, 0.07859, -0.284596, 0.335022, 0.046404], [0.109271, -0.680285, -0.557746, -0.095631, 0.07206]], "network.0.bias": [0.010853, 0.441957, -0.210202, 0.207693, 0.173178], "network.2.weight": [[-0.004313, -0.090201, 0.186035, -0.410127, -0.441787], [-0.311564, 0.805306, -0.345858, -0.308895, -0.135303], [0.277229, 0.20235, -0.093119, 0.214825, 0.234456], [0.121802, 0.560127, 0.257957, -0.266467, -0.27915], [0.195656, -0.057249, -0.263849, 0.147125, -0.221525]], "network.2.bias": [-0.416259, 0.273592, 0.157417, 0.177872, -0.420618], "network.4.weight": [[0.21244, 0.63969, -0.366742, 0.447325, 0.163334], [-0.080652, -0.351604, 0.258127, -0.254621, 0.016597], [-0.131014, 0.507668, 0.398422, 0.301431, -0.677927], [0.249221, -0.020769, -0.052122, -0.072623, 0.056727], [-0.002303, 0.43941, 0.208393, 0.696727, 0.403035]], "network.4.bias": [0.09175, 0.674327, 0.392217, 0.091722, -0.194626], "network.6.weight": [[0.023702, 0.82359, 0.293494, 0.206039, -0.421932], [0.6328, -0.264343, 0.521307, -0.065196, 0.360413], [-0.016256, -0.193719, 0.135072, -0.185429, -0.16478], [0.119641, -0.161252, 0.050136, -0.002298, -0.191873], [0.640619, -0.220117, 0.389034, 0.043865, 0.626595]], "network.6.bias": [0.2672, -0.17184, -0.339806, -0.431543, -0.241045], "network.8.weight": [[0.655483, -0.689854, 0.296294, -0.05087, -0.626922]], "network.8.bias": [-0.200417]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6727138459682465, "train_acc": 0.59, "val_loss": 0.705595076084137, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6498412489891052, "train_acc": 0.59, "val_loss": 0.676525890827179, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5967642366886139, "train_acc": 0.59, "val_loss": 0.5791502594947815, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5163697153329849, "train_acc": 0.565, "val_loss": 0.5105960369110107, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4472176879644394, "train_acc": 0.83, "val_loss": 0.4287666976451874, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.38833606243133545, "train_acc": 0.83, "val_loss": 0.35842365026474, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3454411029815674, "train_acc": 0.82, "val_loss": 0.37737977504730225, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.33898232877254486, "train_acc": 0.83, "val_loss": 0.3908202648162842, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3186580240726471, "train_acc": 0.885, "val_loss": 0.4100208282470703, "val_acc": 0.8}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.705595076084137, "final_val_loss": 0.5791502594947815, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5105960369110107, "final_val_loss": 0.4100208282470703, "initial_val_acc": 0.82, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 4}, "improvement": 0.37999999999999995, "first_improvement_epoch": 2}}
|
61
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1250, "learning_rate": 0.054650206537940234, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [0.249938, 1.388594, 2.928485, -1.713790, 3.509822]
std: [2.789503, 2.204818, 2.652449, 1.236107, 2.903500]
pca: [[-0.472101, 0.799663, 0.249107, -0.211662, 0.175513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409119, -0.067476, 0.651571, -0.591877, -0.230664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.514490, 0.241272, -0.505458, -0.420971, 0.494352, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167054, -0.387761, 0.398081, 0.050179, 0.812864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563147, 0.383947, 0.315349, 0.652033, 0.104203, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.364578, 42.619086, 43.000889, 43.118164, 53.957858], [33.962679, 34.089025, 35.297451, 36.907777, 124.973430], [43.866399, 44.536804, 45.982699, 48.854089, 263.563618], [18.971487, 19.585111, 19.603867, 25.255046, 154.241080], [47.052435, 48.212351, 48.369521, 55.685011, 315.883970]]
### 2
mean: [-2.046219, -2.933134, -2.877709, -0.928249, 3.994268]
std: [1.256968, 1.926906, 1.598144, 2.153099, 4.235662]
pca: [[-0.214943, 0.383176, -0.126997, 0.782594, -0.422368, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318413, 0.644025, -0.526308, -0.307180, 0.335390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266590, 0.396925, 0.823278, 0.030334, 0.304424, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388203, -0.454118, -0.163385, 0.440098, 0.650149, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.794129, 0.273195, -0.048895, 0.313976, 0.440172, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.103667, 21.820059, 22.327003, 25.096952, 184.159716], [32.639084, 32.742361, 36.389727, 37.663242, 263.981989], [25.752443, 26.542107, 27.476195, 32.009794, 258.993818], [32.956707, 34.144386, 35.078337, 47.656192, 83.542452], [66.664697, 69.128355, 73.242211, 82.643097, 359.484158]]
### 4
mean: [-1.243218, -0.743307, 4.050005, -0.984149, 2.519519]
std: [0.995699, 0.346355, 4.002065, 1.818628, 2.420380]
pca: [[-0.194604, -0.066885, 0.245289, 0.888860, 0.327745, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050847, -0.634819, 0.693155, -0.304170, 0.146412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.782410, 0.003403, -0.083914, -0.032505, 0.616218, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352472, 0.662140, 0.348893, -0.298996, 0.475615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472379, 0.392542, 0.574980, 0.164177, -0.514988, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.091961, 16.338914, 17.645416, 19.322669, 111.889612], [5.702868, 6.224113, 6.459899, 6.557588, 66.897659], [64.707152, 64.967253, 70.688228, 78.897726, 364.500469], [27.537991, 29.255295, 31.225524, 38.568312, 88.573412], [39.064476, 40.297936, 43.056546, 45.854405, 226.756742]]
### 6
mean: [-1.689183, -0.791261, -1.468917, 5.433175, -0.699628]
std: [1.345931, 0.366390, 1.606124, 5.237372, 0.325849]
pca: [[-0.230926, 0.813634, 0.134231, -0.461034, -0.232600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064821, 0.007865, 0.795828, -0.025391, 0.601456, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284341, 0.074978, 0.409775, 0.669302, -0.545572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.927204, 0.250680, 0.196953, 0.115575, -0.159074, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043754, 0.519110, -0.376741, 0.570509, 0.511073, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.549527, 23.182788, 23.625605, 23.676917, 152.026428], [5.967995, 6.067299, 6.495087, 6.998599, 71.213524], [25.967348, 26.966587, 28.700335, 30.667750, 132.202541], [84.939476, 87.338054, 93.476823, 102.292828, 488.985744], [5.257341, 5.548272, 6.214456, 6.308583, 62.966560]]
### 8
mean: [-2.279892, -0.254169, 5.233383, -1.777648, 5.553718]
std: [1.875691, 0.074654, 5.048738, 1.523566, 5.268492]
pca: [[-0.243943, 0.788587, 0.284886, 0.479892, -0.084652, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.008815, -0.559436, 0.207017, 0.800931, 0.051063, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.656795, 0.195135, 0.123364, 0.066068, 0.714814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198199, -0.159550, 0.894939, -0.351552, 0.103709, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685384, 0.040346, 0.244640, 0.016131, -0.684479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.253164, 32.242818, 33.942283, 35.045003, 205.190338], [1.123511, 1.189111, 1.193327, 1.659347, 22.875231], [81.776716, 86.133006, 90.947241, 95.886424, 471.004405], [24.691725, 25.962870, 27.425882, 29.001984, 159.988342], [85.313324, 89.929919, 94.937019, 99.951918, 499.834562]]
### 10
mean: [-5.699314]
std: [5.732779]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.631849, 98.059998, 103.464387, 107.874927, 512.938267]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.309036,
0.016396,
0.378556,
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],
[
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0.127928
],
[
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],
[
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-0.007032
],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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[
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"network.2.bias": [
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],
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"network.10.weight": [
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],
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]
}
## Activation Signature
### 0
mean: [0.249938, 1.388594, 2.928485, -1.713790, 3.509822]
std: [2.789503, 2.204818, 2.652449, 1.236107, 2.903500]
pca: [[-0.472101, 0.799663, 0.249107, -0.211662, 0.175513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.409119, -0.067476, 0.651571, -0.591877, -0.230664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.514490, 0.241272, -0.505458, -0.420971, 0.494352, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167054, -0.387761, 0.398081, 0.050179, 0.812864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563147, 0.383947, 0.315349, 0.652033, 0.104203, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.364578, 42.619086, 43.000889, 43.118164, 53.957858], [33.962679, 34.089025, 35.297451, 36.907777, 124.973430], [43.866399, 44.536804, 45.982699, 48.854089, 263.563618], [18.971487, 19.585111, 19.603867, 25.255046, 154.241080], [47.052435, 48.212351, 48.369521, 55.685011, 315.883970]]
### 2
mean: [-2.046219, -2.933134, -2.877709, -0.928249, 3.994268]
std: [1.256968, 1.926906, 1.598144, 2.153099, 4.235662]
pca: [[-0.214943, 0.383176, -0.126997, 0.782594, -0.422368, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318413, 0.644025, -0.526308, -0.307180, 0.335390, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266590, 0.396925, 0.823278, 0.030334, 0.304424, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388203, -0.454118, -0.163385, 0.440098, 0.650149, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.794129, 0.273195, -0.048895, 0.313976, 0.440172, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.103667, 21.820059, 22.327003, 25.096952, 184.159716], [32.639084, 32.742361, 36.389727, 37.663242, 263.981989], [25.752443, 26.542107, 27.476195, 32.009794, 258.993818], [32.956707, 34.144386, 35.078337, 47.656192, 83.542452], [66.664697, 69.128355, 73.242211, 82.643097, 359.484158]]
### 4
mean: [-1.243218, -0.743307, 4.050005, -0.984149, 2.519519]
std: [0.995699, 0.346355, 4.002065, 1.818628, 2.420380]
pca: [[-0.194604, -0.066885, 0.245289, 0.888860, 0.327745, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050847, -0.634819, 0.693155, -0.304170, 0.146412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.782410, 0.003403, -0.083914, -0.032505, 0.616218, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.352472, 0.662140, 0.348893, -0.298996, 0.475615, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472379, 0.392542, 0.574980, 0.164177, -0.514988, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.091961, 16.338914, 17.645416, 19.322669, 111.889612], [5.702868, 6.224113, 6.459899, 6.557588, 66.897659], [64.707152, 64.967253, 70.688228, 78.897726, 364.500469], [27.537991, 29.255295, 31.225524, 38.568312, 88.573412], [39.064476, 40.297936, 43.056546, 45.854405, 226.756742]]
### 6
mean: [-1.689183, -0.791261, -1.468917, 5.433175, -0.699628]
std: [1.345931, 0.366390, 1.606124, 5.237372, 0.325849]
pca: [[-0.230926, 0.813634, 0.134231, -0.461034, -0.232600, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.064821, 0.007865, 0.795828, -0.025391, 0.601456, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284341, 0.074978, 0.409775, 0.669302, -0.545572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.927204, 0.250680, 0.196953, 0.115575, -0.159074, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043754, 0.519110, -0.376741, 0.570509, 0.511073, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.549527, 23.182788, 23.625605, 23.676917, 152.026428], [5.967995, 6.067299, 6.495087, 6.998599, 71.213524], [25.967348, 26.966587, 28.700335, 30.667750, 132.202541], [84.939476, 87.338054, 93.476823, 102.292828, 488.985744], [5.257341, 5.548272, 6.214456, 6.308583, 62.966560]]
### 8
mean: [-2.279892, -0.254169, 5.233383, -1.777648, 5.553718]
std: [1.875691, 0.074654, 5.048738, 1.523566, 5.268492]
pca: [[-0.243943, 0.788587, 0.284886, 0.479892, -0.084652, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.008815, -0.559436, 0.207017, 0.800931, 0.051063, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.656795, 0.195135, 0.123364, 0.066068, 0.714814, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198199, -0.159550, 0.894939, -0.351552, 0.103709, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.685384, 0.040346, 0.244640, 0.016131, -0.684479, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.253164, 32.242818, 33.942283, 35.045003, 205.190338], [1.123511, 1.189111, 1.193327, 1.659347, 22.875231], [81.776716, 86.133006, 90.947241, 95.886424, 471.004405], [24.691725, 25.962870, 27.425882, 29.001984, 159.988342], [85.313324, 89.929919, 94.937019, 99.951918, 499.834562]]
### 10
mean: [-5.699314]
std: [5.732779]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.631849, 98.059998, 103.464387, 107.874927, 512.938267]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.093063, -0.309036, 0.016396, 0.378556, 0.773503], [0.701823, 0.775471, -0.252655, -0.204355, 0.127928], [0.602957, 0.693682, 0.603957, 0.058538, -0.377103], [-0.031721, -0.217129, -0.529884, -0.064748, -0.007032], [1.011061, 0.527833, 0.291925, 0.178914, 0.133705]], "network.0.bias": [0.373297, -0.089648, -0.007942, -0.024268, 0.131413], "network.2.weight": [[-0.131963, -0.092834, 0.027991, 0.050634, -0.410087], [-0.300634, -0.424816, 0.098404, -0.14586, -0.49048], [-0.255985, 0.22719, -0.497382, 0.230305, -0.294834], [0.572846, -0.38846, -0.263234, -0.297847, -0.083867], [-0.566625, 0.651264, 0.684687, 0.086376, 0.307988]], "network.2.bias": [-0.396273, -0.501347, -0.427524, 0.112181, 0.493274], "network.4.weight": [[-0.065375, -0.123496, 0.17113, 0.099253, -0.233584], [-0.089483, 0.311284, -0.059541, -0.290253, -0.092015], [0.297861, 0.227829, 0.229019, -0.53504, 0.925808], [0.264929, -0.106503, 0.044911, 0.580952, -0.383763], [-0.152481, -0.562529, -0.184258, -0.123027, 0.578554]], "network.4.bias": [-0.32269, -0.259165, 0.453778, 0.374024, 0.194197], "network.6.weight": [[0.151877, -0.128109, -0.266735, -0.564596, -0.17594], [-0.097168, -0.050539, 0.142074, 0.03896, -0.378356], [-0.313802, 0.260598, -0.20685, 0.085096, -0.321793], [-0.149096, -0.352103, 1.09142, -0.650015, 0.327322], [-0.049795, -0.069921, -0.173712, -0.416044, 0.129959]], "network.6.bias": [0.007652, -0.43058, 0.176931, 0.273288, -0.200279], "network.8.weight": [[0.441881, -0.035055, -0.362642, -0.367282, -0.148325], [0.074825, -0.246139, 0.357872, -0.010628, 0.149073], [0.49926, -0.034271, -0.486637, 0.978444, -0.441328], [-0.390995, 0.429394, 0.210441, -0.294809, -0.234511], [-0.04626, 0.078757, -0.404377, 1.021772, -0.41718]], "network.8.bias": [-0.241859, -0.207601, -0.147053, -0.158651, -0.068473], "network.10.weight": [[-0.038997, -0.054003, -0.554746, -0.079629, -0.562542]], "network.10.bias": [0.357611]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7019431293010712, "train_acc": 0.42, "val_loss": 0.6993151903152466, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6769006252288818, "train_acc": 0.575, "val_loss": 0.7139732241630554, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6582217216491699, "train_acc": 0.575, "val_loss": 0.666196882724762, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5974721312522888, "train_acc": 0.575, "val_loss": 0.6034567952156067, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5940436124801636, "train_acc": 0.505, "val_loss": 0.5406280159950256, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5025729238986969, "train_acc": 0.615, "val_loss": 0.5102795958518982, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4679964482784271, "train_acc": 0.84, "val_loss": 0.48001039028167725, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4669755697250366, "train_acc": 0.825, "val_loss": 0.4425860643386841, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4105162173509598, "train_acc": 0.84, "val_loss": 0.45476195216178894, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4031337946653366, "train_acc": 0.845, "val_loss": 0.4445469379425049, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.38080888986587524, "train_acc": 0.84, "val_loss": 0.4164768159389496, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.40726885199546814, "train_acc": 0.84, "val_loss": 0.42584842443466187, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.39031386375427246, "train_acc": 0.845, "val_loss": 0.41242027282714844, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.37516820430755615, "train_acc": 0.845, "val_loss": 0.41748374700546265, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6993151903152466, "final_val_loss": 0.6034567952156067, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5406280159950256, "final_val_loss": 0.41748374700546265, "initial_val_acc": 0.48, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 7}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
62
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6942, "learning_rate": 0.039815314088510245, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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],
[
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[
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],
[
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],
[
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"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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],
[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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"network.6.weight": [
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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"network.8.bias": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [4.105968, 0.805520, 1.073153, -2.542927, -0.025912, 0.590495, 1.112211]
std: [2.517283, 1.278818, 1.168426, 2.091127, 1.150866, 1.497045, 2.037650]
pca: [[0.599060, -0.424546, -0.512750, 0.304826, 0.127505, 0.297503, -0.017066, 0.000000, 0.000000, 0.000000], [0.269724, 0.333798, -0.217796, 0.239351, -0.308361, -0.521597, 0.586476, 0.000000, 0.000000, 0.000000], [0.064050, -0.409142, 0.580775, 0.063693, -0.152340, 0.322585, 0.599896, 0.000000, 0.000000, 0.000000], [-0.509231, 0.316472, -0.387370, 0.231853, 0.119126, 0.541400, 0.359739, 0.000000, 0.000000, 0.000000], [-0.031808, 0.127636, 0.367160, 0.842561, 0.273826, -0.114479, -0.223372, 0.000000, 0.000000, 0.000000], [0.322466, 0.303997, 0.144222, -0.284610, 0.794519, -0.000613, 0.265589, 0.000000, 0.000000, 0.000000], [0.447170, 0.576266, 0.216080, -0.032657, -0.380810, 0.478694, -0.214558, 0.000000, 0.000000, 0.000000]]
fourier: [[37.905288, 42.159324, 46.636135, 50.541838, 369.537172], [20.024545, 21.943592, 22.546103, 22.881204, 72.496800], [22.162654, 22.880090, 24.100915, 27.046986, 96.583783], [32.688556, 36.098659, 38.624699, 44.151625, 228.863375], [17.515856, 18.090868, 18.705981, 18.878230, 21.297251], [23.734663, 24.393842, 25.886629, 29.196084, 53.144531], [29.936172, 33.172804, 33.419913, 38.236122, 100.098997]]
### 2
mean: [0.826019, -0.520551, 1.658835, -0.249816, -0.491298, -0.613593, 3.000446]
std: [1.793119, 0.629448, 0.959144, 0.649582, 0.329461, 0.659483, 1.959255]
pca: [[0.626379, -0.405667, -0.144756, -0.006662, 0.609136, 0.052134, 0.219818, 0.000000, 0.000000, 0.000000], [-0.205295, -0.081742, 0.664813, 0.238522, 0.069783, 0.108704, 0.660012, 0.000000, 0.000000, 0.000000], [-0.060051, 0.727991, -0.308759, 0.406998, 0.408755, -0.017550, 0.195076, 0.000000, 0.000000, 0.000000], [-0.231346, 0.086444, 0.163372, -0.261374, 0.372532, 0.784386, -0.299931, 0.000000, 0.000000, 0.000000], [-0.030450, -0.202083, 0.315901, 0.666785, 0.205170, -0.153400, -0.590096, 0.000000, 0.000000, 0.000000], [-0.224580, 0.136422, 0.296058, -0.502072, 0.481617, -0.586412, -0.124066, 0.000000, 0.000000, 0.000000], [0.676027, 0.481519, 0.477077, -0.111444, -0.210177, 0.049855, -0.156350, 0.000000, 0.000000, 0.000000]]
fourier: [[30.211848, 30.357032, 30.442578, 30.656647, 74.341728], [10.213743, 11.519273, 11.863698, 13.009349, 46.849628], [14.888373, 15.856826, 16.556213, 18.336231, 149.295177], [10.804272, 10.816541, 10.860364, 11.913288, 22.483474], [4.992884, 5.128295, 5.711438, 6.237891, 44.216847], [11.433064, 11.479155, 12.077493, 12.091173, 55.223406], [30.836421, 31.012664, 34.916852, 37.983167, 270.040091]]
### 4
mean: [1.447343, -0.738940, 0.280915, 0.518445, 1.903266, -0.477729, 1.830620]
std: [0.577950, 0.242265, 0.416523, 1.698815, 1.435213, 0.523249, 0.746946]
pca: [[0.154963, 0.474261, 0.306870, 0.403088, 0.499984, -0.493665, 0.026915, 0.000000, 0.000000, 0.000000], [-0.066869, -0.190067, 0.219288, -0.020487, 0.625645, 0.573454, 0.436594, 0.000000, 0.000000, 0.000000], [-0.164429, 0.156334, -0.325822, 0.780915, -0.090102, 0.431793, -0.194861, 0.000000, 0.000000, 0.000000], [0.725278, -0.200142, 0.321223, 0.054605, 0.014619, 0.266858, -0.506283, 0.000000, 0.000000, 0.000000], [0.607766, 0.256613, -0.259683, 0.055397, -0.279003, 0.073496, 0.641110, 0.000000, 0.000000, 0.000000], [-0.210891, 0.088937, 0.762096, 0.180834, -0.521480, 0.124260, 0.216201, 0.000000, 0.000000, 0.000000], [-0.067793, 0.775044, 0.013200, -0.434190, 0.021648, 0.385933, -0.237913, 0.000000, 0.000000, 0.000000]]
fourier: [[8.650931, 9.572615, 9.578268, 11.307716, 130.260843], [3.676143, 3.738629, 4.489883, 5.113506, 66.504616], [6.523014, 6.596686, 6.911478, 7.618663, 25.282322], [27.997772, 28.615233, 29.898881, 30.155424, 46.660067], [23.237863, 24.544537, 25.576618, 26.479295, 171.293926], [8.949398, 9.034619, 9.622080, 9.813083, 42.995644], [11.528108, 11.764390, 12.179188, 14.931079, 164.755835]]
### 6
mean: [0.920154, 0.879579, 0.860194, 1.837617, 0.289784, 1.411511, 0.894236]
std: [0.476084, 0.578735, 1.337293, 0.771080, 0.343393, 0.712990, 0.555420]
pca: [[0.065063, 0.451186, 0.120080, 0.051487, 0.550576, 0.019186, 0.686750, 0.000000, 0.000000, 0.000000], [-0.296077, 0.289380, -0.032716, 0.264810, -0.241307, 0.836144, -0.006102, 0.000000, 0.000000, 0.000000], [0.716201, 0.573337, -0.122401, 0.013264, -0.344740, -0.054367, -0.146219, 0.000000, 0.000000, 0.000000], [-0.376750, 0.425382, 0.630795, -0.415415, -0.227821, -0.191115, -0.134943, 0.000000, 0.000000, 0.000000], [-0.201850, -0.018463, -0.460771, -0.381526, -0.522456, -0.108957, 0.562327, 0.000000, 0.000000, 0.000000], [-0.341402, 0.409424, -0.598471, -0.193749, 0.369928, -0.120881, -0.410671, 0.000000, 0.000000, 0.000000], [-0.309712, 0.187230, -0.033871, 0.755895, -0.241002, -0.484284, 0.062330, 0.000000, 0.000000, 0.000000]]
fourier: [[7.156012, 7.734598, 8.287127, 9.379142, 82.813817], [8.734333, 9.252249, 10.472721, 11.680068, 79.162118], [21.372824, 22.296442, 23.488099, 24.209029, 77.417463], [11.613842, 11.926924, 13.611074, 15.168109, 165.385547], [5.145755, 5.385741, 6.100749, 6.528190, 26.080581], [10.894331, 11.479350, 12.246946, 14.913786, 127.036008], [9.077305, 9.487499, 10.110465, 10.488095, 80.481245]]
### 8
mean: [-0.090191, 1.453930, -0.022610, -0.527169, 1.853570, 1.892018, 1.806757]
std: [1.048999, 0.781699, 0.180073, 1.201558, 0.955297, 1.259591, 1.091161]
pca: [[-0.387284, 0.516399, 0.562734, 0.494537, -0.135963, -0.019499, 0.056923, 0.000000, 0.000000, 0.000000], [0.244888, 0.631305, -0.449178, -0.100029, -0.530186, 0.213448, 0.055308, 0.000000, 0.000000, 0.000000], [0.064235, -0.104947, -0.018292, 0.106238, 0.094467, 0.235622, 0.953309, 0.000000, 0.000000, 0.000000], [-0.460485, 0.433542, -0.241616, -0.363573, 0.627911, 0.121051, 0.022495, 0.000000, 0.000000, 0.000000], [0.370485, 0.289048, 0.351702, -0.443590, 0.066125, -0.639040, 0.214433, 0.000000, 0.000000, 0.000000], [0.500859, 0.123122, 0.446563, -0.125459, 0.263753, 0.644760, -0.183141, 0.000000, 0.000000, 0.000000], [0.430987, 0.192627, -0.315821, 0.624054, 0.472528, -0.244543, -0.069823, 0.000000, 0.000000, 0.000000]]
fourier: [[15.784400, 15.925208, 16.676048, 17.530293, 20.370987], [11.533317, 13.108663, 13.772597, 16.208296, 130.853703], [2.740626, 2.821055, 2.843551, 3.081712, 3.380369], [18.668037, 18.822464, 20.220074, 23.097950, 47.445199], [15.454891, 15.792428, 18.008510, 18.597254, 166.821354], [21.141264, 22.389317, 22.873274, 23.040634, 170.281607], [18.478799, 18.595955, 19.759497, 20.539209, 162.608160]]
### 10
mean: [-2.443790]
std: [1.917547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.882635, 34.148512, 34.926077, 35.164468, 219.941119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.252991,
0.54947,
0.44716,
0.58845,
0.340586
],
[
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[
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0.439115,
0.003841,
0.263567
],
[
-0.607559,
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[
-0.194741,
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],
[
0.716739,
0.116874,
-0.176083,
0.074058,
0.074554
],
[
0.711662,
0.511279,
0.110251,
-0.226103,
-0.149024
]
],
"network.0.bias": [
0.173858,
-0.300203,
0.476218,
0.204167,
0.342355,
-0.397363,
-0.266717
],
"network.2.weight": [
[
0.010803,
0.359769,
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0.276261,
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0.510027,
0.371265
],
[
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0.276867,
0.140741,
0.152264,
-0.099129,
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],
[
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[
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[
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],
[
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],
[
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0.473848
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],
"network.2.bias": [
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0.271001
],
"network.4.weight": [
[
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[
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[
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[
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[
0.50581,
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0.389578,
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[
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"network.6.weight": [
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[
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[
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[
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[
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]
],
"network.6.bias": [
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0.07792
],
"network.8.weight": [
[
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0.30349,
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-0.419133
],
[
0.294718,
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0.521598,
0.065266
],
[
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[
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[
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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"network.10.bias": [
-0.107459
]
}
## Activation Signature
### 0
mean: [4.105968, 0.805520, 1.073153, -2.542927, -0.025912, 0.590495, 1.112211]
std: [2.517283, 1.278818, 1.168426, 2.091127, 1.150866, 1.497045, 2.037650]
pca: [[0.599060, -0.424546, -0.512750, 0.304826, 0.127505, 0.297503, -0.017066, 0.000000, 0.000000, 0.000000], [0.269724, 0.333798, -0.217796, 0.239351, -0.308361, -0.521597, 0.586476, 0.000000, 0.000000, 0.000000], [0.064050, -0.409142, 0.580775, 0.063693, -0.152340, 0.322585, 0.599896, 0.000000, 0.000000, 0.000000], [-0.509231, 0.316472, -0.387370, 0.231853, 0.119126, 0.541400, 0.359739, 0.000000, 0.000000, 0.000000], [-0.031808, 0.127636, 0.367160, 0.842561, 0.273826, -0.114479, -0.223372, 0.000000, 0.000000, 0.000000], [0.322466, 0.303997, 0.144222, -0.284610, 0.794519, -0.000613, 0.265589, 0.000000, 0.000000, 0.000000], [0.447170, 0.576266, 0.216080, -0.032657, -0.380810, 0.478694, -0.214558, 0.000000, 0.000000, 0.000000]]
fourier: [[37.905288, 42.159324, 46.636135, 50.541838, 369.537172], [20.024545, 21.943592, 22.546103, 22.881204, 72.496800], [22.162654, 22.880090, 24.100915, 27.046986, 96.583783], [32.688556, 36.098659, 38.624699, 44.151625, 228.863375], [17.515856, 18.090868, 18.705981, 18.878230, 21.297251], [23.734663, 24.393842, 25.886629, 29.196084, 53.144531], [29.936172, 33.172804, 33.419913, 38.236122, 100.098997]]
### 2
mean: [0.826019, -0.520551, 1.658835, -0.249816, -0.491298, -0.613593, 3.000446]
std: [1.793119, 0.629448, 0.959144, 0.649582, 0.329461, 0.659483, 1.959255]
pca: [[0.626379, -0.405667, -0.144756, -0.006662, 0.609136, 0.052134, 0.219818, 0.000000, 0.000000, 0.000000], [-0.205295, -0.081742, 0.664813, 0.238522, 0.069783, 0.108704, 0.660012, 0.000000, 0.000000, 0.000000], [-0.060051, 0.727991, -0.308759, 0.406998, 0.408755, -0.017550, 0.195076, 0.000000, 0.000000, 0.000000], [-0.231346, 0.086444, 0.163372, -0.261374, 0.372532, 0.784386, -0.299931, 0.000000, 0.000000, 0.000000], [-0.030450, -0.202083, 0.315901, 0.666785, 0.205170, -0.153400, -0.590096, 0.000000, 0.000000, 0.000000], [-0.224580, 0.136422, 0.296058, -0.502072, 0.481617, -0.586412, -0.124066, 0.000000, 0.000000, 0.000000], [0.676027, 0.481519, 0.477077, -0.111444, -0.210177, 0.049855, -0.156350, 0.000000, 0.000000, 0.000000]]
fourier: [[30.211848, 30.357032, 30.442578, 30.656647, 74.341728], [10.213743, 11.519273, 11.863698, 13.009349, 46.849628], [14.888373, 15.856826, 16.556213, 18.336231, 149.295177], [10.804272, 10.816541, 10.860364, 11.913288, 22.483474], [4.992884, 5.128295, 5.711438, 6.237891, 44.216847], [11.433064, 11.479155, 12.077493, 12.091173, 55.223406], [30.836421, 31.012664, 34.916852, 37.983167, 270.040091]]
### 4
mean: [1.447343, -0.738940, 0.280915, 0.518445, 1.903266, -0.477729, 1.830620]
std: [0.577950, 0.242265, 0.416523, 1.698815, 1.435213, 0.523249, 0.746946]
pca: [[0.154963, 0.474261, 0.306870, 0.403088, 0.499984, -0.493665, 0.026915, 0.000000, 0.000000, 0.000000], [-0.066869, -0.190067, 0.219288, -0.020487, 0.625645, 0.573454, 0.436594, 0.000000, 0.000000, 0.000000], [-0.164429, 0.156334, -0.325822, 0.780915, -0.090102, 0.431793, -0.194861, 0.000000, 0.000000, 0.000000], [0.725278, -0.200142, 0.321223, 0.054605, 0.014619, 0.266858, -0.506283, 0.000000, 0.000000, 0.000000], [0.607766, 0.256613, -0.259683, 0.055397, -0.279003, 0.073496, 0.641110, 0.000000, 0.000000, 0.000000], [-0.210891, 0.088937, 0.762096, 0.180834, -0.521480, 0.124260, 0.216201, 0.000000, 0.000000, 0.000000], [-0.067793, 0.775044, 0.013200, -0.434190, 0.021648, 0.385933, -0.237913, 0.000000, 0.000000, 0.000000]]
fourier: [[8.650931, 9.572615, 9.578268, 11.307716, 130.260843], [3.676143, 3.738629, 4.489883, 5.113506, 66.504616], [6.523014, 6.596686, 6.911478, 7.618663, 25.282322], [27.997772, 28.615233, 29.898881, 30.155424, 46.660067], [23.237863, 24.544537, 25.576618, 26.479295, 171.293926], [8.949398, 9.034619, 9.622080, 9.813083, 42.995644], [11.528108, 11.764390, 12.179188, 14.931079, 164.755835]]
### 6
mean: [0.920154, 0.879579, 0.860194, 1.837617, 0.289784, 1.411511, 0.894236]
std: [0.476084, 0.578735, 1.337293, 0.771080, 0.343393, 0.712990, 0.555420]
pca: [[0.065063, 0.451186, 0.120080, 0.051487, 0.550576, 0.019186, 0.686750, 0.000000, 0.000000, 0.000000], [-0.296077, 0.289380, -0.032716, 0.264810, -0.241307, 0.836144, -0.006102, 0.000000, 0.000000, 0.000000], [0.716201, 0.573337, -0.122401, 0.013264, -0.344740, -0.054367, -0.146219, 0.000000, 0.000000, 0.000000], [-0.376750, 0.425382, 0.630795, -0.415415, -0.227821, -0.191115, -0.134943, 0.000000, 0.000000, 0.000000], [-0.201850, -0.018463, -0.460771, -0.381526, -0.522456, -0.108957, 0.562327, 0.000000, 0.000000, 0.000000], [-0.341402, 0.409424, -0.598471, -0.193749, 0.369928, -0.120881, -0.410671, 0.000000, 0.000000, 0.000000], [-0.309712, 0.187230, -0.033871, 0.755895, -0.241002, -0.484284, 0.062330, 0.000000, 0.000000, 0.000000]]
fourier: [[7.156012, 7.734598, 8.287127, 9.379142, 82.813817], [8.734333, 9.252249, 10.472721, 11.680068, 79.162118], [21.372824, 22.296442, 23.488099, 24.209029, 77.417463], [11.613842, 11.926924, 13.611074, 15.168109, 165.385547], [5.145755, 5.385741, 6.100749, 6.528190, 26.080581], [10.894331, 11.479350, 12.246946, 14.913786, 127.036008], [9.077305, 9.487499, 10.110465, 10.488095, 80.481245]]
### 8
mean: [-0.090191, 1.453930, -0.022610, -0.527169, 1.853570, 1.892018, 1.806757]
std: [1.048999, 0.781699, 0.180073, 1.201558, 0.955297, 1.259591, 1.091161]
pca: [[-0.387284, 0.516399, 0.562734, 0.494537, -0.135963, -0.019499, 0.056923, 0.000000, 0.000000, 0.000000], [0.244888, 0.631305, -0.449178, -0.100029, -0.530186, 0.213448, 0.055308, 0.000000, 0.000000, 0.000000], [0.064235, -0.104947, -0.018292, 0.106238, 0.094467, 0.235622, 0.953309, 0.000000, 0.000000, 0.000000], [-0.460485, 0.433542, -0.241616, -0.363573, 0.627911, 0.121051, 0.022495, 0.000000, 0.000000, 0.000000], [0.370485, 0.289048, 0.351702, -0.443590, 0.066125, -0.639040, 0.214433, 0.000000, 0.000000, 0.000000], [0.500859, 0.123122, 0.446563, -0.125459, 0.263753, 0.644760, -0.183141, 0.000000, 0.000000, 0.000000], [0.430987, 0.192627, -0.315821, 0.624054, 0.472528, -0.244543, -0.069823, 0.000000, 0.000000, 0.000000]]
fourier: [[15.784400, 15.925208, 16.676048, 17.530293, 20.370987], [11.533317, 13.108663, 13.772597, 16.208296, 130.853703], [2.740626, 2.821055, 2.843551, 3.081712, 3.380369], [18.668037, 18.822464, 20.220074, 23.097950, 47.445199], [15.454891, 15.792428, 18.008510, 18.597254, 166.821354], [21.141264, 22.389317, 22.873274, 23.040634, 170.281607], [18.478799, 18.595955, 19.759497, 20.539209, 162.608160]]
### 10
mean: [-2.443790]
std: [1.917547]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.882635, 34.148512, 34.926077, 35.164468, 219.941119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.252991, 0.54947, 0.44716, 0.58845, 0.340586], [0.221108, 0.585907, 0.022262, -0.096014, -0.062994], [0.020072, -0.372406, 0.439115, 0.003841, 0.263567], [-0.607559, 0.095475, -0.600117, -0.324869, -0.174127], [-0.194741, 0.297824, -0.07816, -0.504698, 0.467788], [0.716739, 0.116874, -0.176083, 0.074058, 0.074554], [0.711662, 0.511279, 0.110251, -0.226103, -0.149024]], "network.0.bias": [0.173858, -0.300203, 0.476218, 0.204167, 0.342355, -0.397363, -0.266717], "network.2.weight": [[0.010803, 0.359769, -0.123435, 0.276261, -0.23239, 0.510027, 0.371265], [-0.168853, 0.276867, 0.140741, 0.152264, -0.099129, -0.428686, -0.003902], [0.306919, -0.222095, 0.319918, -0.117666, 0.287781, 0.100786, -0.364511], [-0.060353, 0.165328, 0.065057, 0.390935, 0.056549, -0.099359, -0.315984], [-0.18467, 0.26331, 0.124848, -0.046587, -0.06857, -0.161342, 0.107449], [0.002283, 0.086901, 0.006687, 0.472973, 0.091485, -0.222355, -0.239309], [0.506251, -0.027168, 0.199647, 0.205945, -0.294397, -0.014274, 0.473848]], "network.2.bias": [-0.131151, 0.14097, 0.535628, 0.245602, -0.082767, -0.262835, 0.271001], "network.4.weight": [[-0.151456, -0.41792, 0.045785, -0.013463, -0.419008, -0.099871, 0.354618], [-0.107203, -0.068265, -0.182541, 0.23515, 0.597942, 0.09243, -0.00841], [-0.032236, -0.565625, 0.256089, 0.192271, -0.433687, -0.096187, -0.139286], [0.431166, 0.435128, -0.548574, 0.244983, -0.030186, 0.382202, 0.464536], [0.50581, -0.018914, 0.015775, 0.389578, -0.614116, -0.478623, 0.341812], [-0.467951, -0.012526, -0.164755, -0.570587, -0.027217, -0.295609, 0.117667], [-0.221691, -0.530057, 0.491632, -0.437579, -0.172307, -0.558652, 0.187904]], "network.4.bias": [0.374151, -0.251111, 0.210603, -0.323399, 0.270124, -0.156342, 0.591414], "network.6.weight": [[0.214803, -0.06361, -0.05442, 0.060239, 0.118567, -0.364549, 0.318065], [0.115813, 0.112947, 0.145999, -0.3734, 0.207253, 0.024178, 0.367452], [0.229564, -0.364853, -0.301239, 0.378292, 0.401697, 0.386756, -0.160258], [0.571269, -0.092949, 0.354241, -0.080396, -0.213263, 0.031671, 0.515969], [0.205385, -0.258911, -0.207423, -0.275949, -0.006455, 0.030545, -0.005782], [0.31622, -0.446643, -0.373619, -0.443008, 0.164509, -0.673549, 0.480733], [-0.133354, -0.474032, 0.325703, -0.490016, 0.36485, -0.013076, 0.308567]], "network.6.bias": [-0.218194, -0.037146, -0.122499, 0.513467, 0.248176, 0.121847, 0.07792], "network.8.weight": [[0.187923, -0.177449, 0.522445, 0.30349, -0.535439, -0.390725, -0.419133], [0.294718, 0.276632, 0.075255, 0.172209, 0.383798, 0.521598, 0.065266], [0.031983, 0.129679, -0.138076, -0.031231, -0.006128, 0.003651, -0.058304], [0.111406, -0.031469, 0.584678, -0.219618, -0.507894, -0.31614, -0.104728], [-0.16938, 0.11103, -0.040679, 0.417386, 0.262743, 0.397602, 0.439685], [0.13334, 0.18325, -0.360145, 0.405374, 0.39288, 0.309308, 0.435027], [0.413163, 0.211197, -0.437202, 0.122297, -0.1087, 0.564028, 0.155008]], "network.8.bias": [-0.099354, -0.190009, 0.06318, -0.069334, 0.261504, 0.381925, 0.613583], "network.10.weight": [[0.264448, -0.115005, 0.024273, 0.498343, -0.267184, -0.602676, -0.39619]], "network.10.bias": [-0.107459]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6840048432350159, "train_acc": 0.59, "val_loss": 0.7063709497451782, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.654735803604126, "train_acc": 0.59, "val_loss": 0.5990546941757202, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5230997651815414, "train_acc": 0.795, "val_loss": 0.3946112394332886, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41805118322372437, "train_acc": 0.83, "val_loss": 0.18139797449111938, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2980683371424675, "train_acc": 0.845, "val_loss": 0.13532096147537231, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.25990065932273865, "train_acc": 0.89, "val_loss": 0.106722891330719, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24606262147426605, "train_acc": 0.9, "val_loss": 0.0931302160024643, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24751931428909302, "train_acc": 0.895, "val_loss": 0.08924634009599686, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2267690971493721, "train_acc": 0.9, "val_loss": 0.0861828625202179, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21107633411884308, "train_acc": 0.915, "val_loss": 0.10162428021430969, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.21474173665046692, "train_acc": 0.92, "val_loss": 0.09270124137401581, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.21163608878850937, "train_acc": 0.92, "val_loss": 0.07389599829912186, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7063709497451782, "final_val_loss": 0.5990546941757202, "initial_val_acc": 0.44, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.3946112394332886, "final_val_loss": 0.07389599829912186, "initial_val_acc": 0.82, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
63
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9339, "learning_rate": 0.028907412749536947, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.124678
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[
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0.437192,
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],
[
-0.760285,
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0.0709,
0.505595,
0.128747
],
[
-0.298471,
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0.102225
]
],
"network.0.bias": [
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-0.011301,
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"network.2.weight": [
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],
[
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],
[
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-0.195745
],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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],
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[
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"network.6.bias": [
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"network.8.weight": [
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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],
[
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],
[
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],
[
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[
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[
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]
],
"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
0.027258
]
}
## Activation Signature
### 0
mean: [0.873963, 0.455988, 0.120548, 0.536549, 0.907002, -0.588619]
std: [1.622539, 1.398154, 1.222474, 1.541973, 1.906061, 0.879817]
pca: [[0.498047, -0.066126, 0.621886, 0.428310, -0.180934, -0.380326, 0.000000, 0.000000, 0.000000, 0.000000], [0.444696, -0.167293, -0.269166, -0.112320, 0.766159, -0.319676, 0.000000, 0.000000, 0.000000, 0.000000], [0.309984, -0.347307, -0.606835, -0.019757, -0.584545, -0.270104, 0.000000, 0.000000, 0.000000, 0.000000], [0.145496, 0.911326, -0.230421, 0.006202, -0.088783, -0.295467, 0.000000, 0.000000, 0.000000, 0.000000], [0.620716, 0.106367, 0.162586, -0.521670, -0.132810, 0.535896, 0.000000, 0.000000, 0.000000, 0.000000], [0.227260, 0.072032, -0.305010, 0.728948, 0.114233, 0.552918, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.359901, 25.440399, 25.746439, 31.065742, 78.656682], [19.500064, 22.875071, 27.867212, 28.116790, 41.038935], [18.414951, 19.336116, 19.415633, 23.547254, 23.696120], [23.739164, 25.132853, 25.666565, 32.035894, 48.289394], [25.279862, 30.638771, 32.318959, 39.925202, 81.630167], [12.817135, 14.128985, 14.589262, 17.192259, 52.975726]]
### 2
mean: [2.325492, 0.211554, 2.670187, -0.517747, -0.442290, -0.947034]
std: [2.023281, 0.672072, 2.121188, 0.743644, 0.972160, 1.492522]
pca: [[0.606766, -0.083850, -0.145858, 0.017057, -0.178707, 0.755845, 0.000000, 0.000000, 0.000000, 0.000000], [0.105473, 0.450942, 0.102513, 0.876514, 0.080615, -0.015583, 0.000000, 0.000000, 0.000000, 0.000000], [0.608667, 0.496754, 0.337570, -0.375744, 0.012039, -0.357041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211295, 0.118447, 0.486773, -0.148563, 0.696135, 0.444636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281491, 0.058079, 0.648567, -0.006129, -0.676461, 0.197771, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355460, 0.724882, -0.443482, -0.261037, -0.138622, 0.253302, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.591908, 32.043072, 32.476628, 33.001038, 209.294268], [10.387959, 10.658916, 10.746016, 10.852990, 19.039832], [31.643545, 33.851269, 37.959461, 39.268343, 240.316822], [10.886952, 11.114063, 11.287301, 12.009694, 46.597181], [14.096218, 14.661166, 14.806878, 16.785632, 39.806059], [21.422472, 23.933721, 27.430198, 29.550792, 85.233022]]
### 4
mean: [2.628776, 3.070413, -0.498596, -0.414998, -0.586744, -0.795639]
std: [2.537897, 2.686594, 1.317704, 0.747809, 1.004730, 0.257633]
pca: [[0.617787, 0.333047, -0.186158, -0.670638, -0.016057, 0.150834, 0.000000, 0.000000, 0.000000, 0.000000], [0.654583, 0.180292, 0.170505, 0.686454, -0.092800, 0.173533, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313701, 0.659009, -0.580174, 0.218250, -0.283117, 0.053940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176545, 0.466308, 0.271366, 0.026739, 0.789631, 0.231337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241169, 0.219528, 0.615276, -0.167803, -0.524246, 0.460530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046064, -0.395785, -0.384015, 0.050198, 0.112357, 0.823785, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.020204, 41.834004, 43.150900, 46.675408, 236.589801], [42.098253, 43.255332, 46.154459, 51.283320, 276.337172], [21.266709, 22.132224, 23.666370, 26.082563, 44.873678], [10.960294, 12.393424, 13.354378, 14.943649, 37.349799], [15.589128, 15.982123, 16.652683, 19.249993, 52.806962], [3.557787, 3.579263, 4.252864, 4.971009, 71.607540]]
### 6
mean: [-1.315520, -1.343600, 3.033210, 2.745870, -1.096855, 3.171787]
std: [2.479957, 2.499297, 2.738939, 2.732149, 1.959181, 2.907282]
pca: [[-0.393895, 0.361722, 0.119098, -0.420072, 0.595439, 0.410866, 0.000000, 0.000000, 0.000000, 0.000000], [-0.397075, 0.262785, -0.388604, -0.524476, -0.464000, -0.363168, 0.000000, 0.000000, 0.000000, 0.000000], [0.434450, 0.672264, 0.532697, -0.108441, -0.225341, -0.114061, 0.000000, 0.000000, 0.000000, 0.000000], [0.434184, 0.147954, -0.426260, -0.090102, 0.576142, -0.517530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310573, 0.554782, -0.295207, 0.712822, 0.004334, 0.021914, 0.000000, 0.000000, 0.000000, 0.000000], [0.462016, 0.135974, -0.531217, -0.143077, -0.217759, 0.646506, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.094758, 41.279449, 44.450009, 48.511845, 118.396834], [40.686591, 41.151568, 44.607663, 48.397133, 120.923961], [42.701729, 44.259586, 47.731337, 52.549291, 272.988832], [43.864663, 44.326183, 48.445324, 53.503181, 247.128287], [31.941279, 32.975132, 35.189003, 38.017540, 98.716955], [46.646668, 47.257705, 51.574082, 57.014252, 285.460857]]
### 8
mean: [-2.751491, 0.460873, -2.479983, 5.168427, 2.706210, 4.339973]
std: [4.424222, 1.183652, 4.146987, 5.494099, 3.513551, 4.818604]
pca: [[-0.434297, 0.279020, 0.570129, -0.158114, -0.516975, 0.340915, 0.000000, 0.000000, 0.000000, 0.000000], [0.114432, -0.416695, 0.583045, 0.676024, 0.126582, 0.017251, 0.000000, 0.000000, 0.000000, 0.000000], [-0.407029, 0.296524, 0.267210, -0.129518, 0.810359, -0.039291, 0.000000, 0.000000, 0.000000, 0.000000], [0.538371, 0.741814, 0.038684, 0.317706, 0.048375, 0.234721, 0.000000, 0.000000, 0.000000, 0.000000], [0.344694, -0.331968, 0.087268, -0.401550, 0.237470, 0.738737, 0.000000, 0.000000, 0.000000, 0.000000], [0.473246, 0.009742, 0.504478, -0.488914, -0.036059, -0.530197, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.827330, 77.252933, 80.835502, 89.679358, 247.634215], [18.730000, 21.671385, 22.163692, 23.597188, 41.478527], [66.450530, 72.584915, 75.799553, 83.948376, 223.198509], [88.310846, 90.056147, 98.703266, 109.896957, 465.158421], [56.307333, 61.944166, 64.236709, 71.018819, 243.558894], [77.577040, 82.579099, 87.486340, 96.934822, 390.597574]]
### 10
mean: [5.716827, 4.348328, -2.413000, 8.503429, 7.197680, 3.854515]
std: [5.735732, 4.373311, 4.714033, 8.394623, 7.356757, 4.052610]
pca: [[0.391426, 0.126503, -0.383554, 0.781838, 0.053740, 0.263649, 0.000000, 0.000000, 0.000000, 0.000000], [0.298479, 0.001464, 0.792379, 0.368668, -0.003974, -0.383551, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318295, 0.886887, 0.208265, 0.047274, -0.111518, 0.232538, 0.000000, 0.000000, 0.000000, 0.000000], [0.572500, 0.436620, -0.311356, -0.336711, 0.029833, -0.520000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502119, -0.063815, 0.196970, -0.283317, -0.585321, 0.531167, 0.000000, 0.000000, 0.000000, 0.000000], [0.276593, 0.052119, 0.214261, -0.238614, 0.800731, 0.420436, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.081070, 92.218152, 103.970575, 116.961858, 514.514372], [70.181759, 70.363515, 79.837417, 89.964173, 391.349469], [74.928216, 83.496999, 86.818885, 96.139686, 217.169965], [130.802369, 135.048970, 151.583433, 171.206163, 765.308681], [118.415476, 118.917004, 134.011549, 150.850271, 647.791147], [64.654842, 65.255414, 73.668003, 83.090724, 346.906334]]
### 12
mean: [-18.793280]
std: [17.998329]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[275.139580, 289.304370, 325.285390, 369.318942, 1691.395167]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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0.372083,
0.124678
],
[
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0.437192,
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],
[
-0.760285,
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0.505595,
0.128747
],
[
-0.298471,
-0.202509,
-0.077929,
0.119912,
0.102225
]
],
"network.0.bias": [
0.648062,
0.526883,
0.26162,
-0.011301,
0.021489,
-0.06861
],
"network.2.weight": [
[
0.644161,
0.678471,
0.565741,
0.227977,
0.344676,
-0.608166
],
[
0.014939,
0.089151,
0.171257,
0.543302,
0.07502,
-0.468599
],
[
0.440253,
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0.235156,
0.710326,
0.754317,
-0.195745
],
[
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-0.208422,
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],
[
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],
[
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0.65943,
-0.502006,
-0.315974
]
],
"network.2.bias": [
0.231465,
-0.48888,
0.278954,
0.28879,
0.621694,
-0.368005
],
"network.4.weight": [
[
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],
[
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],
[
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[
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0.876542,
0.128168,
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],
[
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0.111222,
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0.665731,
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[
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0.340965
]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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[
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"network.6.bias": [
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0.556747,
0.362927,
0.132926,
0.379317,
0.418325
],
"network.8.weight": [
[
0.630071,
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[
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[
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[
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],
[
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]
],
"network.8.bias": [
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0.599551
],
"network.10.weight": [
[
-0.21553,
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0.553108,
0.113048
],
[
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0.114046,
0.582678,
0.54128
],
[
0.6289,
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0.481472,
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],
[
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],
[
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],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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0.590803,
-0.665815,
-0.71153,
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],
"network.12.bias": [
0.027258
]
}
## Activation Signature
### 0
mean: [0.873963, 0.455988, 0.120548, 0.536549, 0.907002, -0.588619]
std: [1.622539, 1.398154, 1.222474, 1.541973, 1.906061, 0.879817]
pca: [[0.498047, -0.066126, 0.621886, 0.428310, -0.180934, -0.380326, 0.000000, 0.000000, 0.000000, 0.000000], [0.444696, -0.167293, -0.269166, -0.112320, 0.766159, -0.319676, 0.000000, 0.000000, 0.000000, 0.000000], [0.309984, -0.347307, -0.606835, -0.019757, -0.584545, -0.270104, 0.000000, 0.000000, 0.000000, 0.000000], [0.145496, 0.911326, -0.230421, 0.006202, -0.088783, -0.295467, 0.000000, 0.000000, 0.000000, 0.000000], [0.620716, 0.106367, 0.162586, -0.521670, -0.132810, 0.535896, 0.000000, 0.000000, 0.000000, 0.000000], [0.227260, 0.072032, -0.305010, 0.728948, 0.114233, 0.552918, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.359901, 25.440399, 25.746439, 31.065742, 78.656682], [19.500064, 22.875071, 27.867212, 28.116790, 41.038935], [18.414951, 19.336116, 19.415633, 23.547254, 23.696120], [23.739164, 25.132853, 25.666565, 32.035894, 48.289394], [25.279862, 30.638771, 32.318959, 39.925202, 81.630167], [12.817135, 14.128985, 14.589262, 17.192259, 52.975726]]
### 2
mean: [2.325492, 0.211554, 2.670187, -0.517747, -0.442290, -0.947034]
std: [2.023281, 0.672072, 2.121188, 0.743644, 0.972160, 1.492522]
pca: [[0.606766, -0.083850, -0.145858, 0.017057, -0.178707, 0.755845, 0.000000, 0.000000, 0.000000, 0.000000], [0.105473, 0.450942, 0.102513, 0.876514, 0.080615, -0.015583, 0.000000, 0.000000, 0.000000, 0.000000], [0.608667, 0.496754, 0.337570, -0.375744, 0.012039, -0.357041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.211295, 0.118447, 0.486773, -0.148563, 0.696135, 0.444636, 0.000000, 0.000000, 0.000000, 0.000000], [-0.281491, 0.058079, 0.648567, -0.006129, -0.676461, 0.197771, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355460, 0.724882, -0.443482, -0.261037, -0.138622, 0.253302, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.591908, 32.043072, 32.476628, 33.001038, 209.294268], [10.387959, 10.658916, 10.746016, 10.852990, 19.039832], [31.643545, 33.851269, 37.959461, 39.268343, 240.316822], [10.886952, 11.114063, 11.287301, 12.009694, 46.597181], [14.096218, 14.661166, 14.806878, 16.785632, 39.806059], [21.422472, 23.933721, 27.430198, 29.550792, 85.233022]]
### 4
mean: [2.628776, 3.070413, -0.498596, -0.414998, -0.586744, -0.795639]
std: [2.537897, 2.686594, 1.317704, 0.747809, 1.004730, 0.257633]
pca: [[0.617787, 0.333047, -0.186158, -0.670638, -0.016057, 0.150834, 0.000000, 0.000000, 0.000000, 0.000000], [0.654583, 0.180292, 0.170505, 0.686454, -0.092800, 0.173533, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313701, 0.659009, -0.580174, 0.218250, -0.283117, 0.053940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176545, 0.466308, 0.271366, 0.026739, 0.789631, 0.231337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.241169, 0.219528, 0.615276, -0.167803, -0.524246, 0.460530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046064, -0.395785, -0.384015, 0.050198, 0.112357, 0.823785, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.020204, 41.834004, 43.150900, 46.675408, 236.589801], [42.098253, 43.255332, 46.154459, 51.283320, 276.337172], [21.266709, 22.132224, 23.666370, 26.082563, 44.873678], [10.960294, 12.393424, 13.354378, 14.943649, 37.349799], [15.589128, 15.982123, 16.652683, 19.249993, 52.806962], [3.557787, 3.579263, 4.252864, 4.971009, 71.607540]]
### 6
mean: [-1.315520, -1.343600, 3.033210, 2.745870, -1.096855, 3.171787]
std: [2.479957, 2.499297, 2.738939, 2.732149, 1.959181, 2.907282]
pca: [[-0.393895, 0.361722, 0.119098, -0.420072, 0.595439, 0.410866, 0.000000, 0.000000, 0.000000, 0.000000], [-0.397075, 0.262785, -0.388604, -0.524476, -0.464000, -0.363168, 0.000000, 0.000000, 0.000000, 0.000000], [0.434450, 0.672264, 0.532697, -0.108441, -0.225341, -0.114061, 0.000000, 0.000000, 0.000000, 0.000000], [0.434184, 0.147954, -0.426260, -0.090102, 0.576142, -0.517530, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310573, 0.554782, -0.295207, 0.712822, 0.004334, 0.021914, 0.000000, 0.000000, 0.000000, 0.000000], [0.462016, 0.135974, -0.531217, -0.143077, -0.217759, 0.646506, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.094758, 41.279449, 44.450009, 48.511845, 118.396834], [40.686591, 41.151568, 44.607663, 48.397133, 120.923961], [42.701729, 44.259586, 47.731337, 52.549291, 272.988832], [43.864663, 44.326183, 48.445324, 53.503181, 247.128287], [31.941279, 32.975132, 35.189003, 38.017540, 98.716955], [46.646668, 47.257705, 51.574082, 57.014252, 285.460857]]
### 8
mean: [-2.751491, 0.460873, -2.479983, 5.168427, 2.706210, 4.339973]
std: [4.424222, 1.183652, 4.146987, 5.494099, 3.513551, 4.818604]
pca: [[-0.434297, 0.279020, 0.570129, -0.158114, -0.516975, 0.340915, 0.000000, 0.000000, 0.000000, 0.000000], [0.114432, -0.416695, 0.583045, 0.676024, 0.126582, 0.017251, 0.000000, 0.000000, 0.000000, 0.000000], [-0.407029, 0.296524, 0.267210, -0.129518, 0.810359, -0.039291, 0.000000, 0.000000, 0.000000, 0.000000], [0.538371, 0.741814, 0.038684, 0.317706, 0.048375, 0.234721, 0.000000, 0.000000, 0.000000, 0.000000], [0.344694, -0.331968, 0.087268, -0.401550, 0.237470, 0.738737, 0.000000, 0.000000, 0.000000, 0.000000], [0.473246, 0.009742, 0.504478, -0.488914, -0.036059, -0.530197, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[70.827330, 77.252933, 80.835502, 89.679358, 247.634215], [18.730000, 21.671385, 22.163692, 23.597188, 41.478527], [66.450530, 72.584915, 75.799553, 83.948376, 223.198509], [88.310846, 90.056147, 98.703266, 109.896957, 465.158421], [56.307333, 61.944166, 64.236709, 71.018819, 243.558894], [77.577040, 82.579099, 87.486340, 96.934822, 390.597574]]
### 10
mean: [5.716827, 4.348328, -2.413000, 8.503429, 7.197680, 3.854515]
std: [5.735732, 4.373311, 4.714033, 8.394623, 7.356757, 4.052610]
pca: [[0.391426, 0.126503, -0.383554, 0.781838, 0.053740, 0.263649, 0.000000, 0.000000, 0.000000, 0.000000], [0.298479, 0.001464, 0.792379, 0.368668, -0.003974, -0.383551, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318295, 0.886887, 0.208265, 0.047274, -0.111518, 0.232538, 0.000000, 0.000000, 0.000000, 0.000000], [0.572500, 0.436620, -0.311356, -0.336711, 0.029833, -0.520000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502119, -0.063815, 0.196970, -0.283317, -0.585321, 0.531167, 0.000000, 0.000000, 0.000000, 0.000000], [0.276593, 0.052119, 0.214261, -0.238614, 0.800731, 0.420436, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.081070, 92.218152, 103.970575, 116.961858, 514.514372], [70.181759, 70.363515, 79.837417, 89.964173, 391.349469], [74.928216, 83.496999, 86.818885, 96.139686, 217.169965], [130.802369, 135.048970, 151.583433, 171.206163, 765.308681], [118.415476, 118.917004, 134.011549, 150.850271, 647.791147], [64.654842, 65.255414, 73.668003, 83.090724, 346.906334]]
### 12
mean: [-18.793280]
std: [17.998329]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[275.139580, 289.304370, 325.285390, 369.318942, 1691.395167]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.564911, -0.086183, 0.15917, 0.50094, -0.260092], [-0.485354, 0.157096, -0.256594, 0.319376, 0.079417], [-0.135959, -0.028187, -0.41754, 0.372083, 0.124678], [-0.560927, 0.026257, 0.437192, -0.189092, 0.559701], [-0.760285, 0.241757, 0.0709, 0.505595, 0.128747], [-0.298471, -0.202509, -0.077929, 0.119912, 0.102225]], "network.0.bias": [0.648062, 0.526883, 0.26162, -0.011301, 0.021489, -0.06861], "network.2.weight": [[0.644161, 0.678471, 0.565741, 0.227977, 0.344676, -0.608166], [0.014939, 0.089151, 0.171257, 0.543302, 0.07502, -0.468599], [0.440253, 0.387181, 0.235156, 0.710326, 0.754317, -0.195745], [-0.482522, -0.593619, -0.208422, -0.104093, 0.289489, 0.57864], [-0.614761, -0.138058, -0.617475, -0.171072, 0.122158, 0.673802], [-0.002657, -0.413222, -0.422733, 0.65943, -0.502006, -0.315974]], "network.2.bias": [0.231465, -0.48888, 0.278954, 0.28879, 0.621694, -0.368005], "network.4.weight": [[0.578012, 0.421766, 0.514443, -0.552743, -0.51529, 0.234068], [0.395515, 0.148412, 0.792977, -0.681533, -0.379196, 0.480652], [-0.097648, -0.308052, -0.349394, 0.66105, 0.806937, -0.528452], [-0.37823, -0.312696, 0.121998, 0.876542, 0.128168, -0.572759], [-0.507739, -0.237127, 0.111222, -0.008051, 0.665731, -0.501012], [0.186238, 0.085767, -0.307395, -0.292118, -0.148579, 0.340965]], "network.4.bias": [-0.135762, 0.0224, 0.723336, 0.271103, 0.328857, -0.462452], "network.6.weight": [[-0.440223, -0.34603, 0.704154, 0.521546, 0.430475, -0.679848], [-0.679045, -0.135694, 0.670446, 0.533521, 0.446289, -0.712211], [0.555618, 0.428224, -0.34935, -0.516401, 0.043742, 0.154835], [0.210968, 0.707574, -0.466808, -0.172656, -0.566138, -0.240999], [-0.516022, -0.089251, 0.451566, 0.74047, 0.624867, 0.007597], [0.183894, 0.788077, -0.504776, -0.242489, -0.555814, -0.088859]], "network.6.bias": [0.593413, 0.556747, 0.362927, 0.132926, 0.379317, 0.418325], "network.8.weight": [[0.630071, 0.646091, -0.199478, -0.396352, 0.353525, -0.670668], [-0.148468, -0.094904, 0.106162, 0.328999, -0.597367, -0.151014], [0.807507, 0.384443, -0.259073, -0.680744, 0.421514, -0.259241], [-0.441821, -0.093484, 0.617286, 0.639992, -0.641554, 0.553472], [-0.688263, -0.337906, 0.347512, 0.243524, -0.391464, 0.391586], [-0.4261, -0.611645, 0.688776, 0.352259, -0.545381, 0.407349]], "network.8.bias": [0.425608, 0.010081, 0.372615, 0.145636, 0.311978, 0.599551], "network.10.weight": [[-0.21553, -0.511904, -0.295586, 0.712219, 0.553108, 0.113048], [-0.038503, -0.739304, -0.373908, 0.114046, 0.582678, 0.54128], [0.6289, -0.389067, 0.481472, -0.170539, -0.408571, -0.285216], [-0.418459, 0.244324, -0.134659, 0.627175, 0.639384, 0.649228], [-0.287767, 0.130891, -0.504887, 0.32583, 0.703186, 0.675275], [-0.091695, 0.077079, -0.278268, 0.131771, 0.35568, 0.466636]], "network.10.bias": [0.208354, 0.090044, 0.550089, 0.133757, 0.453051, -0.009083], "network.12.weight": [[-0.533024, -0.515157, 0.590803, -0.665815, -0.71153, -0.600251]], "network.12.bias": [0.027258]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6767022907733917, "train_acc": 0.585, "val_loss": 0.7330268621444702, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6761761009693146, "train_acc": 0.585, "val_loss": 0.7255978584289551, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.670725017786026, "train_acc": 0.585, "val_loss": 0.7065261602401733, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6475842595100403, "train_acc": 0.585, "val_loss": 0.6533769965171814, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5850397348403931, "train_acc": 0.515, "val_loss": 0.4953955113887787, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4393278807401657, "train_acc": 0.86, "val_loss": 0.3785010278224945, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.34898754954338074, "train_acc": 0.915, "val_loss": 0.3195068836212158, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.28478866815567017, "train_acc": 0.91, "val_loss": 0.2546994686126709, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.22511135041713715, "train_acc": 0.935, "val_loss": 0.16674727201461792, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.18406612426042557, "train_acc": 0.945, "val_loss": 0.1235068291425705, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.16318190097808838, "train_acc": 0.95, "val_loss": 0.0888201892375946, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.17772076278924942, "train_acc": 0.95, "val_loss": 0.0902949720621109, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.19077283889055252, "train_acc": 0.955, "val_loss": 0.08841237425804138, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.16782114654779434, "train_acc": 0.96, "val_loss": 0.08892809599637985, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7330268621444702, "final_val_loss": 0.6533769965171814, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4953955113887787, "final_val_loss": 0.08892809599637985, "initial_val_acc": 0.86, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.54, "first_improvement_epoch": 3}}
|
64
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6958, "learning_rate": 0.08815082734579661, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
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"network.6.weight": [
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"network.8.weight": [
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[
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],
[
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"network.8.bias": [
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0.292798,
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],
"network.10.weight": [
[
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0.222717,
-0.71241,
0.120543,
0.541301,
0.155662,
-0.039262,
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]
],
"network.10.bias": [
0.49841
]
}
## Activation Signature
### 0
mean: [1.846746, 0.253308, -3.168447, 0.888640, -0.575106, -0.632025, -0.368432, 1.387591]
std: [2.311188, 2.195971, 1.869929, 2.213018, 2.690647, 1.380482, 1.724163, 2.148083]
pca: [[-0.386057, -0.460009, -0.214358, -0.135850, 0.472267, -0.096930, -0.536798, -0.233159, 0.000000, 0.000000], [-0.470544, -0.329163, 0.073854, -0.114262, -0.278644, -0.071443, 0.591164, -0.468517, 0.000000, 0.000000], [0.032794, 0.285054, 0.611412, -0.479217, 0.288190, 0.351884, -0.060924, -0.321881, 0.000000, 0.000000], [0.489715, -0.156633, -0.335622, -0.416056, 0.453215, -0.194013, 0.454814, 0.000688, 0.000000, 0.000000], [-0.289827, 0.655102, -0.254518, -0.310453, -0.076713, -0.545518, -0.090219, -0.118604, 0.000000, 0.000000], [-0.162766, 0.124048, 0.378750, 0.531669, 0.562108, -0.379282, 0.261814, 0.060240, 0.000000, 0.000000], [-0.370698, -0.171803, 0.227769, -0.415646, -0.002680, -0.063204, 0.102372, 0.770678, 0.000000, 0.000000], [-0.375157, 0.316528, -0.449466, 0.117994, 0.298340, 0.615303, 0.254243, 0.104311, 0.000000, 0.000000]]
fourier: [[36.960183, 42.020888, 43.049620, 54.245269, 166.207120], [32.372629, 37.243683, 37.604145, 38.780778, 47.786628], [28.359709, 28.890698, 36.160628, 38.446273, 285.160211], [32.898547, 33.010875, 36.472972, 49.090567, 79.977610], [38.938483, 39.876256, 45.320247, 50.810388, 51.759551], [24.104671, 24.939475, 25.202513, 32.898923, 56.882277], [24.823206, 25.256487, 31.378437, 33.158918, 35.364679], [33.410704, 35.252677, 35.477796, 43.148966, 124.883243]]
### 2
mean: [-0.492709, 3.111926, 1.479814, -2.844531, -3.075582, -2.027234, 1.029245, -2.285359]
std: [2.600631, 3.931853, 2.189866, 2.432244, 2.405241, 1.858495, 2.730135, 1.573439]
pca: [[-0.390823, 0.077695, -0.238544, -0.364644, -0.562179, 0.271123, -0.441595, 0.258445, 0.000000, 0.000000], [0.599037, -0.108290, 0.248521, -0.071880, -0.129202, 0.354631, 0.129733, 0.634989, 0.000000, 0.000000], [0.143275, 0.763109, 0.239985, 0.318000, -0.194783, 0.341802, -0.088154, -0.275465, 0.000000, 0.000000], [-0.359117, -0.180510, -0.021859, 0.825491, -0.032842, 0.068985, -0.076911, 0.380505, 0.000000, 0.000000], [-0.355401, -0.242073, 0.105577, -0.101260, 0.035463, 0.675335, 0.529376, -0.236890, 0.000000, 0.000000], [-0.175799, -0.207086, 0.809567, -0.045329, -0.406066, -0.305837, -0.010715, -0.101077, 0.000000, 0.000000], [0.368460, -0.512212, -0.055586, 0.188511, -0.112020, 0.281371, -0.501203, -0.469390, 0.000000, 0.000000], [-0.214338, 0.058937, 0.391955, -0.177379, 0.670483, 0.224407, -0.492867, 0.150564, 0.000000, 0.000000]]
fourier: [[42.372916, 43.444177, 44.343792, 52.826467, 58.504507], [63.338769, 64.314501, 80.622519, 89.464197, 280.073361], [37.678645, 38.393649, 38.530606, 52.092596, 133.183215], [44.816596, 45.235509, 49.626626, 50.173759, 256.007770], [41.559012, 47.391700, 50.915036, 52.335159, 276.802420], [27.262664, 27.467532, 33.559955, 35.963609, 182.451076], [38.773024, 45.682937, 49.196834, 59.638117, 92.632054], [23.081104, 25.748915, 32.735890, 34.564263, 205.682272]]
### 4
mean: [2.519205, -0.198048, -0.299832, 0.466716, 2.723839, 1.666883, -1.956792, 0.451285]
std: [4.337824, 1.759386, 1.953994, 1.516693, 4.259271, 2.264449, 1.332974, 1.898666]
pca: [[0.580616, 0.398351, 0.128400, -0.270633, 0.277368, 0.379129, -0.439483, 0.025599, 0.000000, 0.000000], [-0.234770, -0.086910, -0.299463, -0.042077, 0.511867, 0.577089, 0.349473, -0.358762, 0.000000, 0.000000], [-0.255456, 0.465874, -0.188826, 0.052387, 0.593505, -0.559600, -0.108078, 0.047142, 0.000000, 0.000000], [0.189835, 0.583175, -0.042750, 0.472336, -0.188365, 0.176831, 0.523721, 0.240638, 0.000000, 0.000000], [0.572062, -0.123724, -0.021264, -0.333726, 0.099154, -0.410372, 0.534878, -0.285099, 0.000000, 0.000000], [0.296413, -0.396572, -0.566856, 0.137857, 0.198370, 0.009994, -0.048982, 0.610483, 0.000000, 0.000000], [-0.170831, -0.116650, 0.611981, -0.261083, 0.323384, 0.079106, 0.312704, 0.553087, 0.000000, 0.000000], [0.249347, -0.300744, 0.400067, 0.707531, 0.345788, -0.063597, -0.111723, -0.225010, 0.000000, 0.000000]]
fourier: [[70.970094, 71.608202, 95.340146, 98.009291, 226.728462], [26.138851, 29.259009, 30.322098, 37.809739, 40.302546], [28.207485, 32.882214, 34.748032, 38.905308, 45.626941], [21.919218, 23.259319, 30.714857, 34.115424, 42.004471], [70.249239, 72.678752, 94.508018, 95.193590, 245.145513], [34.582089, 39.940637, 48.626511, 49.318998, 150.019482], [18.804300, 21.433764, 27.106394, 31.057835, 176.111308], [32.844713, 33.287767, 37.486962, 40.615647, 43.875113]]
### 6
mean: [-0.425345, 3.993341, -0.310214, 3.005804, 0.213715, -0.972582, 3.407826, -0.844266]
std: [0.206887, 6.837702, 1.090676, 4.787651, 2.880448, 1.048713, 5.571146, 0.324182]
pca: [[0.007254, -0.288027, 0.229057, 0.212886, -0.154004, 0.741097, -0.281580, -0.408620, 0.000000, 0.000000], [0.649035, -0.109481, 0.330084, 0.099570, -0.507009, -0.398950, -0.054172, -0.169543, 0.000000, 0.000000], [-0.097378, 0.232622, 0.789586, 0.134759, 0.066104, 0.149891, 0.138113, 0.498885, 0.000000, 0.000000], [0.454032, 0.317653, -0.319646, 0.568843, 0.229845, 0.150309, -0.314905, 0.304317, 0.000000, 0.000000], [-0.270523, 0.750956, -0.032765, 0.218301, -0.367006, -0.001526, 0.140126, -0.399778, 0.000000, 0.000000], [-0.098631, -0.163434, 0.230005, 0.491557, 0.564280, -0.348334, 0.155282, -0.452956, 0.000000, 0.000000], [0.528780, 0.248184, 0.026955, -0.366501, 0.343286, 0.319115, 0.498574, -0.235567, 0.000000, 0.000000], [-0.023568, -0.312725, -0.241361, 0.423575, -0.301787, 0.152907, 0.712190, 0.205685, 0.000000, 0.000000]]
fourier: [[3.453169, 3.717359, 3.761947, 4.385279, 38.281072], [112.974007, 115.358255, 152.689318, 152.986688, 359.400678], [16.554809, 18.652149, 22.033790, 24.296462, 27.919243], [77.745245, 78.489926, 104.938079, 109.506267, 270.522363], [41.560189, 49.788809, 50.050167, 59.268094, 67.917082], [16.330424, 16.860603, 22.070423, 24.756513, 87.532324], [91.027817, 92.141215, 122.293665, 126.853125, 306.704342], [5.149241, 5.208349, 6.168414, 7.528794, 75.983956]]
### 8
mean: [-0.619955, -4.649983, 5.551074, -1.556079, -1.036999, -1.898385, 2.118211, -1.498685]
std: [0.318601, 5.095656, 9.955808, 1.115869, 4.898387, 1.668958, 4.267888, 1.674928]
pca: [[0.018330, -0.202989, -0.528075, 0.790040, 0.133508, -0.112892, 0.043322, 0.151618, 0.000000, 0.000000], [-0.384981, -0.563349, 0.229984, 0.104370, 0.253798, 0.572981, 0.075163, -0.268833, 0.000000, 0.000000], [0.756136, -0.094569, -0.283800, -0.224544, 0.402771, 0.322019, -0.005851, -0.149662, 0.000000, 0.000000], [-0.082675, -0.264142, 0.107261, -0.098174, 0.478033, -0.496483, -0.650572, -0.063222, 0.000000, 0.000000], [-0.369729, 0.587943, -0.164346, -0.051152, 0.548775, 0.309020, -0.072220, 0.293485, 0.000000, 0.000000], [-0.122700, -0.448170, -0.329531, -0.424434, -0.153683, 0.078537, -0.031821, 0.681583, 0.000000, 0.000000], [0.324049, -0.049331, 0.662137, 0.274325, 0.201540, 0.013164, 0.129579, 0.566831, 0.000000, 0.000000], [-0.126943, -0.117270, -0.046605, -0.216498, 0.402034, -0.454887, 0.739038, -0.079744, 0.000000, 0.000000]]
fourier: [[4.654916, 4.671265, 5.293830, 7.222720, 55.795940], [81.065581, 81.470149, 107.552559, 119.622706, 418.498424], [165.489442, 166.027874, 222.651714, 223.843067, 499.596605], [16.787236, 17.888236, 21.576400, 27.208915, 140.047154], [83.424951, 84.459033, 93.329953, 103.269317, 115.197153], [25.025433, 27.505992, 31.409328, 40.608093, 170.854678], [71.411913, 71.617777, 94.872179, 96.013286, 190.638941], [27.182488, 27.191109, 36.060660, 38.720020, 134.881598]]
### 10
mean: [-3.551519]
std: [7.246049]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.536240, 121.606055, 161.983922, 163.129428, 319.636699]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
0.238877,
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[
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[
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[
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[
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1.075307
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"network.0.bias": [
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],
[
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0.612783,
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0.020007,
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0.777478
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]
],
"network.2.bias": [
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[
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0.092962,
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0.016645
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[
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0.179782,
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0.090211
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0.366644,
0.018944
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],
"network.4.bias": [
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"network.6.weight": [
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],
"network.8.weight": [
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],
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"network.10.weight": [
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0.155662,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.846746, 0.253308, -3.168447, 0.888640, -0.575106, -0.632025, -0.368432, 1.387591]
std: [2.311188, 2.195971, 1.869929, 2.213018, 2.690647, 1.380482, 1.724163, 2.148083]
pca: [[-0.386057, -0.460009, -0.214358, -0.135850, 0.472267, -0.096930, -0.536798, -0.233159, 0.000000, 0.000000], [-0.470544, -0.329163, 0.073854, -0.114262, -0.278644, -0.071443, 0.591164, -0.468517, 0.000000, 0.000000], [0.032794, 0.285054, 0.611412, -0.479217, 0.288190, 0.351884, -0.060924, -0.321881, 0.000000, 0.000000], [0.489715, -0.156633, -0.335622, -0.416056, 0.453215, -0.194013, 0.454814, 0.000688, 0.000000, 0.000000], [-0.289827, 0.655102, -0.254518, -0.310453, -0.076713, -0.545518, -0.090219, -0.118604, 0.000000, 0.000000], [-0.162766, 0.124048, 0.378750, 0.531669, 0.562108, -0.379282, 0.261814, 0.060240, 0.000000, 0.000000], [-0.370698, -0.171803, 0.227769, -0.415646, -0.002680, -0.063204, 0.102372, 0.770678, 0.000000, 0.000000], [-0.375157, 0.316528, -0.449466, 0.117994, 0.298340, 0.615303, 0.254243, 0.104311, 0.000000, 0.000000]]
fourier: [[36.960183, 42.020888, 43.049620, 54.245269, 166.207120], [32.372629, 37.243683, 37.604145, 38.780778, 47.786628], [28.359709, 28.890698, 36.160628, 38.446273, 285.160211], [32.898547, 33.010875, 36.472972, 49.090567, 79.977610], [38.938483, 39.876256, 45.320247, 50.810388, 51.759551], [24.104671, 24.939475, 25.202513, 32.898923, 56.882277], [24.823206, 25.256487, 31.378437, 33.158918, 35.364679], [33.410704, 35.252677, 35.477796, 43.148966, 124.883243]]
### 2
mean: [-0.492709, 3.111926, 1.479814, -2.844531, -3.075582, -2.027234, 1.029245, -2.285359]
std: [2.600631, 3.931853, 2.189866, 2.432244, 2.405241, 1.858495, 2.730135, 1.573439]
pca: [[-0.390823, 0.077695, -0.238544, -0.364644, -0.562179, 0.271123, -0.441595, 0.258445, 0.000000, 0.000000], [0.599037, -0.108290, 0.248521, -0.071880, -0.129202, 0.354631, 0.129733, 0.634989, 0.000000, 0.000000], [0.143275, 0.763109, 0.239985, 0.318000, -0.194783, 0.341802, -0.088154, -0.275465, 0.000000, 0.000000], [-0.359117, -0.180510, -0.021859, 0.825491, -0.032842, 0.068985, -0.076911, 0.380505, 0.000000, 0.000000], [-0.355401, -0.242073, 0.105577, -0.101260, 0.035463, 0.675335, 0.529376, -0.236890, 0.000000, 0.000000], [-0.175799, -0.207086, 0.809567, -0.045329, -0.406066, -0.305837, -0.010715, -0.101077, 0.000000, 0.000000], [0.368460, -0.512212, -0.055586, 0.188511, -0.112020, 0.281371, -0.501203, -0.469390, 0.000000, 0.000000], [-0.214338, 0.058937, 0.391955, -0.177379, 0.670483, 0.224407, -0.492867, 0.150564, 0.000000, 0.000000]]
fourier: [[42.372916, 43.444177, 44.343792, 52.826467, 58.504507], [63.338769, 64.314501, 80.622519, 89.464197, 280.073361], [37.678645, 38.393649, 38.530606, 52.092596, 133.183215], [44.816596, 45.235509, 49.626626, 50.173759, 256.007770], [41.559012, 47.391700, 50.915036, 52.335159, 276.802420], [27.262664, 27.467532, 33.559955, 35.963609, 182.451076], [38.773024, 45.682937, 49.196834, 59.638117, 92.632054], [23.081104, 25.748915, 32.735890, 34.564263, 205.682272]]
### 4
mean: [2.519205, -0.198048, -0.299832, 0.466716, 2.723839, 1.666883, -1.956792, 0.451285]
std: [4.337824, 1.759386, 1.953994, 1.516693, 4.259271, 2.264449, 1.332974, 1.898666]
pca: [[0.580616, 0.398351, 0.128400, -0.270633, 0.277368, 0.379129, -0.439483, 0.025599, 0.000000, 0.000000], [-0.234770, -0.086910, -0.299463, -0.042077, 0.511867, 0.577089, 0.349473, -0.358762, 0.000000, 0.000000], [-0.255456, 0.465874, -0.188826, 0.052387, 0.593505, -0.559600, -0.108078, 0.047142, 0.000000, 0.000000], [0.189835, 0.583175, -0.042750, 0.472336, -0.188365, 0.176831, 0.523721, 0.240638, 0.000000, 0.000000], [0.572062, -0.123724, -0.021264, -0.333726, 0.099154, -0.410372, 0.534878, -0.285099, 0.000000, 0.000000], [0.296413, -0.396572, -0.566856, 0.137857, 0.198370, 0.009994, -0.048982, 0.610483, 0.000000, 0.000000], [-0.170831, -0.116650, 0.611981, -0.261083, 0.323384, 0.079106, 0.312704, 0.553087, 0.000000, 0.000000], [0.249347, -0.300744, 0.400067, 0.707531, 0.345788, -0.063597, -0.111723, -0.225010, 0.000000, 0.000000]]
fourier: [[70.970094, 71.608202, 95.340146, 98.009291, 226.728462], [26.138851, 29.259009, 30.322098, 37.809739, 40.302546], [28.207485, 32.882214, 34.748032, 38.905308, 45.626941], [21.919218, 23.259319, 30.714857, 34.115424, 42.004471], [70.249239, 72.678752, 94.508018, 95.193590, 245.145513], [34.582089, 39.940637, 48.626511, 49.318998, 150.019482], [18.804300, 21.433764, 27.106394, 31.057835, 176.111308], [32.844713, 33.287767, 37.486962, 40.615647, 43.875113]]
### 6
mean: [-0.425345, 3.993341, -0.310214, 3.005804, 0.213715, -0.972582, 3.407826, -0.844266]
std: [0.206887, 6.837702, 1.090676, 4.787651, 2.880448, 1.048713, 5.571146, 0.324182]
pca: [[0.007254, -0.288027, 0.229057, 0.212886, -0.154004, 0.741097, -0.281580, -0.408620, 0.000000, 0.000000], [0.649035, -0.109481, 0.330084, 0.099570, -0.507009, -0.398950, -0.054172, -0.169543, 0.000000, 0.000000], [-0.097378, 0.232622, 0.789586, 0.134759, 0.066104, 0.149891, 0.138113, 0.498885, 0.000000, 0.000000], [0.454032, 0.317653, -0.319646, 0.568843, 0.229845, 0.150309, -0.314905, 0.304317, 0.000000, 0.000000], [-0.270523, 0.750956, -0.032765, 0.218301, -0.367006, -0.001526, 0.140126, -0.399778, 0.000000, 0.000000], [-0.098631, -0.163434, 0.230005, 0.491557, 0.564280, -0.348334, 0.155282, -0.452956, 0.000000, 0.000000], [0.528780, 0.248184, 0.026955, -0.366501, 0.343286, 0.319115, 0.498574, -0.235567, 0.000000, 0.000000], [-0.023568, -0.312725, -0.241361, 0.423575, -0.301787, 0.152907, 0.712190, 0.205685, 0.000000, 0.000000]]
fourier: [[3.453169, 3.717359, 3.761947, 4.385279, 38.281072], [112.974007, 115.358255, 152.689318, 152.986688, 359.400678], [16.554809, 18.652149, 22.033790, 24.296462, 27.919243], [77.745245, 78.489926, 104.938079, 109.506267, 270.522363], [41.560189, 49.788809, 50.050167, 59.268094, 67.917082], [16.330424, 16.860603, 22.070423, 24.756513, 87.532324], [91.027817, 92.141215, 122.293665, 126.853125, 306.704342], [5.149241, 5.208349, 6.168414, 7.528794, 75.983956]]
### 8
mean: [-0.619955, -4.649983, 5.551074, -1.556079, -1.036999, -1.898385, 2.118211, -1.498685]
std: [0.318601, 5.095656, 9.955808, 1.115869, 4.898387, 1.668958, 4.267888, 1.674928]
pca: [[0.018330, -0.202989, -0.528075, 0.790040, 0.133508, -0.112892, 0.043322, 0.151618, 0.000000, 0.000000], [-0.384981, -0.563349, 0.229984, 0.104370, 0.253798, 0.572981, 0.075163, -0.268833, 0.000000, 0.000000], [0.756136, -0.094569, -0.283800, -0.224544, 0.402771, 0.322019, -0.005851, -0.149662, 0.000000, 0.000000], [-0.082675, -0.264142, 0.107261, -0.098174, 0.478033, -0.496483, -0.650572, -0.063222, 0.000000, 0.000000], [-0.369729, 0.587943, -0.164346, -0.051152, 0.548775, 0.309020, -0.072220, 0.293485, 0.000000, 0.000000], [-0.122700, -0.448170, -0.329531, -0.424434, -0.153683, 0.078537, -0.031821, 0.681583, 0.000000, 0.000000], [0.324049, -0.049331, 0.662137, 0.274325, 0.201540, 0.013164, 0.129579, 0.566831, 0.000000, 0.000000], [-0.126943, -0.117270, -0.046605, -0.216498, 0.402034, -0.454887, 0.739038, -0.079744, 0.000000, 0.000000]]
fourier: [[4.654916, 4.671265, 5.293830, 7.222720, 55.795940], [81.065581, 81.470149, 107.552559, 119.622706, 418.498424], [165.489442, 166.027874, 222.651714, 223.843067, 499.596605], [16.787236, 17.888236, 21.576400, 27.208915, 140.047154], [83.424951, 84.459033, 93.329953, 103.269317, 115.197153], [25.025433, 27.505992, 31.409328, 40.608093, 170.854678], [71.411913, 71.617777, 94.872179, 96.013286, 190.638941], [27.182488, 27.191109, 36.060660, 38.720020, 134.881598]]
### 10
mean: [-3.551519]
std: [7.246049]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.536240, 121.606055, 161.983922, 163.129428, 319.636699]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.941579, -0.078101, -0.033312, 0.00908, 0.593012], [0.685069, -0.095437, -0.074565, -0.422142, 0.742378], [-0.256047, -0.670645, -0.157623, -0.220294, -0.213989], [0.238877, 0.274971, -0.25082, 0.655845, -0.876104], [-1.003607, -0.108631, -0.209538, 0.068396, 1.042222], [-0.165066, -0.493254, 0.441926, -0.227427, 0.112314], [0.518768, -0.341699, -0.196417, -0.341266, 0.548202], [-0.48862, 0.011393, 0.063611, 0.170588, 1.075307]], "network.0.bias": [0.136052, -0.279895, -0.562162, 0.288353, -0.1226, -0.101742, 0.074644, 0.149987], "network.2.weight": [[-0.50572, -0.496216, 0.024477, 0.458382, -0.190873, 0.226578, 0.131079, -0.42653], [0.634941, 0.488979, -0.024189, -0.38235, 0.2884, 0.215358, 0.481143, 0.812546], [0.296462, 0.606192, -0.229333, 0.488427, -0.813281, -0.31578, 0.478099, 0.175169], [-0.341708, -0.495928, 0.046603, -0.291585, -0.614049, -0.635007, -0.604605, -0.079737], [-0.554108, -0.478523, 0.270772, -0.294911, -0.138551, -0.145112, 0.035216, -0.441185], [-0.332978, 0.022301, -0.062426, -0.894313, -0.471045, 0.380981, -0.158002, -0.341897], [0.323915, 0.023947, 0.612783, -0.535598, 0.415546, 0.020007, -0.104104, 0.777478], [-0.489418, 0.488929, 0.180781, -0.277902, -0.06353, -0.180324, -0.226924, -0.672507]], "network.2.bias": [0.963676, 0.227079, -0.270183, -0.328546, -0.338924, 0.663311, -0.292558, -0.187632], "network.4.weight": [[-0.949023, 0.54673, 0.43377, 0.261239, -0.074462, -0.70414, 0.552312, -0.286659], [0.694617, -0.124908, -0.253487, -0.329845, 0.307482, 0.092962, -0.27674, 0.016645], [0.7498, -0.042135, -0.56283, -0.489755, -0.030784, 0.179782, -0.31035, 0.090211], [-0.168403, 0.227928, -0.030347, -0.168352, -0.13007, 0.272227, 0.251706, 0.262835], [-0.933091, 0.428251, 0.713786, 0.147826, -0.093502, -0.711384, 0.587357, -0.439077], [-0.030047, 0.201676, 0.580045, 0.420218, -0.059674, -0.105983, 0.366644, 0.018944], [-0.219393, -0.084158, -0.274589, 0.091211, 0.184392, -0.263183, -0.394603, -0.214851], [-0.676955, 0.294069, 0.297455, -0.128743, 0.079376, 0.067222, -0.011274, -0.234485]], "network.4.bias": [0.09496, 0.461883, 0.592336, -0.470091, 0.162241, -0.400983, -0.479915, -0.426213], "network.6.weight": [[0.145997, -0.039989, -0.269113, -0.259978, -0.215535, 0.198987, -0.319047, 0.06056], [0.486096, -0.595437, -0.827596, 0.43841, 0.512875, 0.515828, -0.416785, 0.381392], [-0.074658, 0.428275, 0.117543, -0.221827, -0.315994, 0.462033, -0.085196, 0.051247], [0.598491, -0.54848, -0.230492, 0.551048, 0.139357, 0.32501, 0.107128, 0.089016], [0.005867, 0.611366, 0.890598, -0.220513, -0.264874, -0.034566, -0.185214, -0.519206], [-0.188871, -0.081883, -0.046875, -0.00355, -0.253527, 0.295157, -0.123678, 0.017742], [0.490557, -0.434983, -0.451282, 0.586945, 0.332501, 0.20916, 0.07058, 0.510757], [0.129586, -0.266865, -0.068794, -0.187657, -0.120191, 0.02701, 0.092413, -0.201012]], "network.6.bias": [-0.209182, 0.2599, -0.145421, 0.20142, 0.801269, -0.07881, 0.159051, -0.352985], "network.8.weight": [[0.25083, -0.097965, -0.253078, 0.296897, -0.165011, -0.347798, -0.1379, -0.016467], [-0.043722, -0.085008, -0.161331, -0.320502, -0.05252, 0.137274, -0.611393, -0.151908], [0.319723, 0.653547, -0.012551, 0.657712, -0.999201, -0.23739, 0.350458, 0.213557], [-0.255679, 0.115403, -0.043592, -0.019047, -0.143446, 0.184625, -0.362584, -0.284161], [-0.149472, -0.426538, 0.227, -0.021625, 0.9831, 0.161482, -0.19051, -0.218245], [-0.350622, -0.107983, 0.074195, 0.074345, -0.329501, 0.218417, -0.307299, 0.062007], [0.264509, 0.515253, -0.216275, -0.138786, -0.369935, -0.166525, 0.23187, -0.253588], [0.312482, -0.014019, 0.060671, 0.030815, 0.026742, -0.043274, -0.321949, 0.319799]], "network.8.bias": [-0.321916, -0.700991, 0.292798, -0.428568, 0.363779, -0.035759, -0.15341, -0.351867], "network.10.weight": [[-0.321898, 0.222717, -0.71241, 0.120543, 0.541301, 0.155662, -0.039262, -0.066394]], "network.10.bias": [0.49841]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7229806780815125, "train_acc": 0.405, "val_loss": 0.6952873468399048, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6459842622280121, "train_acc": 0.595, "val_loss": 0.8724902272224426, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.606966495513916, "train_acc": 0.595, "val_loss": 0.5740743279457092, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5388021767139435, "train_acc": 0.57, "val_loss": 0.49034926295280457, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4652516841888428, "train_acc": 0.8, "val_loss": 0.42563530802726746, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3588598519563675, "train_acc": 0.845, "val_loss": 0.4030272960662842, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3558463007211685, "train_acc": 0.875, "val_loss": 0.37320083379745483, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3441183865070343, "train_acc": 0.88, "val_loss": 0.3224925994873047, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2833569347858429, "train_acc": 0.895, "val_loss": 0.34232497215270996, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.29598796367645264, "train_acc": 0.89, "val_loss": 0.3406853973865509, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.30953124165534973, "train_acc": 0.88, "val_loss": 0.3625223636627197, "val_acc": 0.84}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6952873468399048, "final_val_loss": 0.5740743279457092, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.49034926295280457, "final_val_loss": 0.3625223636627197, "initial_val_acc": 0.82, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 6}, "improvement": 0.42, "first_improvement_epoch": 2}}
|
65
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.98, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7617, "learning_rate": 0.01839529955470709, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.4.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.410767, -0.194627, 0.749430, 0.905487, -0.598714, 2.966999, 0.933354]
std: [0.795711, 1.085666, 0.989796, 1.573714, 1.001905, 1.957567, 1.225773]
pca: [[0.127498, -0.199771, -0.419853, 0.008125, 0.430874, -0.028411, 0.762256, 0.000000, 0.000000, 0.000000], [-0.397074, 0.213653, 0.125831, 0.360579, 0.585469, 0.541255, -0.122894, 0.000000, 0.000000, 0.000000], [0.022233, -0.032989, -0.188273, 0.908939, -0.220447, -0.296740, -0.012204, 0.000000, 0.000000, 0.000000], [0.361116, 0.782270, -0.122900, -0.046152, 0.318047, -0.354824, -0.115592, 0.000000, 0.000000, 0.000000], [-0.179125, -0.423960, -0.348882, -0.116029, 0.443822, -0.407920, -0.538158, 0.000000, 0.000000, 0.000000], [0.811429, -0.317124, 0.175908, 0.151306, 0.205491, 0.304638, -0.228358, 0.000000, 0.000000, 0.000000], [-0.068374, -0.145260, 0.777609, 0.072529, 0.287434, -0.482782, 0.220434, 0.000000, 0.000000, 0.000000]]
fourier: [[11.362517, 11.459245, 14.140670, 19.428134, 36.969058], [16.709659, 17.516447, 18.037456, 22.599402, 23.103949], [14.804689, 15.394357, 16.122886, 17.702420, 67.448691], [24.236931, 25.509411, 26.762247, 30.839725, 81.493870], [15.797662, 15.893283, 17.805167, 19.406930, 53.884282], [30.800331, 34.561715, 36.256524, 39.364938, 267.029935], [18.453072, 21.251234, 21.464445, 22.105296, 84.001909]]
### 2
mean: [-0.436069, 1.814465, 0.038187, -0.745453, -1.286753, 0.192241, 0.082829]
std: [0.306838, 1.177632, 0.493691, 0.809724, 1.193054, 0.793276, 0.589952]
pca: [[0.153407, 0.008974, -0.250964, 0.170892, 0.213104, 0.864265, 0.303038, 0.000000, 0.000000, 0.000000], [-0.222065, 0.791795, 0.384217, 0.279338, -0.024626, -0.015738, 0.311836, 0.000000, 0.000000, 0.000000], [-0.317555, 0.010449, -0.049269, 0.057115, 0.918718, -0.133699, -0.177321, 0.000000, 0.000000, 0.000000], [0.454183, 0.213919, -0.421337, -0.281310, 0.198283, -0.390371, 0.547349, 0.000000, 0.000000, 0.000000], [0.739306, -0.084099, 0.564744, 0.221572, 0.243455, -0.022449, -0.136199, 0.000000, 0.000000, 0.000000], [-0.251861, -0.413450, 0.521918, -0.382767, 0.088776, 0.051033, 0.579853, 0.000000, 0.000000, 0.000000], [-0.100112, -0.386130, -0.134566, 0.784069, -0.058917, -0.281826, 0.353712, 0.000000, 0.000000, 0.000000]]
fourier: [[4.867629, 4.886703, 6.061173, 6.594506, 39.246219], [16.717008, 16.734896, 19.511106, 21.771749, 163.301881], [7.418632, 7.546622, 8.687108, 9.311052, 11.791691], [13.235172, 14.363675, 14.579132, 16.184622, 67.090780], [19.300955, 24.044397, 24.109528, 25.545118, 115.807795], [12.009852, 12.459879, 12.693667, 16.052441, 17.301671], [8.408619, 8.796354, 9.255321, 9.695499, 10.299640]]
### 4
mean: [0.340439, 0.369476, -0.628227, 0.089063, -0.203312, 0.483761, -0.047567]
std: [0.215860, 0.527803, 0.356982, 0.696534, 0.139722, 0.715490, 0.474740]
pca: [[0.153374, 0.143468, 0.971511, 0.107400, -0.011375, -0.003083, 0.019674, 0.000000, 0.000000, 0.000000], [0.405185, -0.417953, -0.042382, 0.240173, 0.157918, -0.018936, 0.759187, 0.000000, 0.000000, 0.000000], [-0.036501, 0.787320, -0.150374, 0.330899, 0.167588, 0.346752, 0.313634, 0.000000, 0.000000, 0.000000], [-0.564674, -0.245774, 0.165035, -0.370682, 0.186087, 0.591044, 0.268581, 0.000000, 0.000000, 0.000000], [0.093917, -0.168045, -0.000117, 0.257656, 0.853359, 0.094252, -0.399311, 0.000000, 0.000000, 0.000000], [0.586702, -0.096836, -0.065488, -0.074107, -0.266705, 0.700413, -0.273703, 0.000000, 0.000000, 0.000000], [-0.372926, -0.294684, 0.015276, 0.782307, -0.335954, 0.174931, -0.135587, 0.000000, 0.000000, 0.000000]]
fourier: [[3.725380, 3.739351, 3.822763, 3.845686, 30.639472], [7.853917, 8.066889, 8.398987, 9.189628, 33.252826], [5.384743, 5.705134, 6.401521, 7.197568, 56.540446], [10.815807, 11.110139, 11.122681, 11.848896, 13.552838], [2.073316, 2.109809, 2.121292, 2.433394, 18.298053], [11.185357, 11.226291, 12.495841, 13.234440, 43.538475], [7.376244, 7.512332, 7.733295, 7.997576, 9.211225]]
### 6
mean: [-0.217124, 0.078504, 0.260652, -0.395896, 0.542392, 0.503849, 0.782011]
std: [0.406461, 0.201320, 0.493924, 0.449054, 0.294089, 0.523450, 0.479271]
pca: [[-0.370122, 0.057923, 0.609662, -0.139647, -0.208224, -0.393322, 0.520006, 0.000000, 0.000000, 0.000000], [-0.171721, -0.355234, 0.323383, 0.258214, 0.636503, 0.469641, 0.217649, 0.000000, 0.000000, 0.000000], [0.435456, 0.644348, 0.534817, 0.202402, 0.041991, 0.190573, -0.173542, 0.000000, 0.000000, 0.000000], [-0.404491, 0.356320, -0.291454, 0.440307, -0.372391, 0.438854, 0.315181, 0.000000, 0.000000, 0.000000], [0.260853, 0.342062, -0.310226, -0.490738, 0.335787, 0.106822, 0.594745, 0.000000, 0.000000, 0.000000], [0.476374, -0.171361, -0.145872, 0.628864, 0.022356, -0.413688, 0.394103, 0.000000, 0.000000, 0.000000], [0.430477, -0.426538, 0.187731, -0.206623, -0.545725, 0.461817, 0.209111, 0.000000, 0.000000, 0.000000]]
fourier: [[6.330089, 6.829024, 7.197144, 7.253167, 19.541163], [3.180965, 3.303432, 3.436508, 3.909155, 7.065388], [7.651928, 7.686768, 8.143443, 9.440642, 23.458692], [6.694575, 7.564944, 7.656869, 7.794950, 35.630651], [4.754522, 4.779807, 4.813166, 5.635532, 48.815276], [8.083977, 8.640682, 9.160586, 9.194575, 45.346444], [7.265435, 7.992195, 8.071758, 8.402003, 70.380999]]
### 8
mean: [0.357044, 0.180712, -0.214399, 0.102673, 1.054547, 0.713722, 0.924104]
std: [0.353142, 0.271314, 0.377294, 0.129466, 0.723713, 0.394302, 0.497597]
pca: [[0.311891, -0.014150, 0.813116, 0.005951, -0.021769, 0.180595, -0.456336, 0.000000, 0.000000, 0.000000], [0.239966, -0.078609, 0.331793, 0.318951, -0.414713, -0.412286, 0.618428, 0.000000, 0.000000, 0.000000], [-0.333014, -0.333151, 0.125338, 0.655662, 0.288873, 0.463759, 0.184361, 0.000000, 0.000000, 0.000000], [-0.090335, 0.908186, 0.080693, 0.342849, 0.198361, -0.053550, 0.027696, 0.000000, 0.000000, 0.000000], [0.640672, 0.143432, -0.169482, -0.131871, 0.046872, 0.618197, 0.372139, 0.000000, 0.000000, 0.000000], [0.348902, -0.041640, -0.415954, 0.561351, -0.390382, -0.024551, -0.485180, 0.000000, 0.000000, 0.000000], [0.440327, -0.188476, -0.069232, 0.135245, 0.741721, -0.443503, -0.025700, 0.000000, 0.000000, 0.000000]]
fourier: [[5.633355, 6.147240, 6.266925, 6.275195, 32.133973], [4.268361, 4.662801, 4.814235, 4.814835, 16.264086], [5.985342, 6.315414, 6.491735, 6.767921, 19.295883], [1.719665, 1.900767, 2.030433, 2.193485, 9.240543], [11.395436, 12.381019, 12.605608, 12.681930, 94.909213], [6.124485, 6.758581, 6.759184, 6.915261, 64.234965], [7.779339, 8.436835, 8.638704, 8.819736, 83.169389]]
### 10
mean: [-0.330426, 0.530173, 0.017142, 1.295024, 0.569617, -0.730854, 0.435539]
std: [0.362962, 0.367759, 0.271810, 0.795074, 0.372672, 0.420113, 0.380755]
pca: [[-0.303001, -0.368119, -0.390375, 0.530228, -0.434665, -0.142821, 0.360296, 0.000000, 0.000000, 0.000000], [0.307314, -0.179024, -0.399712, -0.068905, 0.183362, 0.775346, 0.272412, 0.000000, 0.000000, 0.000000], [0.227060, 0.151197, -0.382953, -0.330227, 0.284111, -0.540519, 0.544978, 0.000000, 0.000000, 0.000000], [0.664388, -0.529819, 0.054288, 0.306103, 0.175628, -0.276464, -0.271951, 0.000000, 0.000000, 0.000000], [0.310239, 0.721370, -0.157138, 0.596414, -0.005334, 0.032204, -0.043697, 0.000000, 0.000000, 0.000000], [-0.351157, -0.090487, 0.295005, 0.393957, 0.744815, 0.036143, 0.264982, 0.000000, 0.000000, 0.000000], [0.318154, 0.017533, 0.653083, 0.021232, -0.333320, 0.086627, 0.594050, 0.000000, 0.000000, 0.000000]]
fourier: [[5.679996, 6.185159, 6.384250, 6.474146, 29.738384], [5.697959, 5.922622, 6.419560, 6.591084, 47.715556], [4.113614, 4.285328, 4.505780, 4.697993, 4.838632], [12.218186, 12.762325, 13.983004, 14.280384, 116.552134], [5.874103, 6.334408, 6.396050, 6.509335, 51.265510], [6.551021, 6.930966, 7.322843, 7.504222, 65.776846], [5.845831, 6.306761, 6.749968, 6.826374, 39.198514]]
### 12
mean: [-0.999045]
std: [0.724825]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.029889, 11.135997, 12.811516, 13.096814, 89.914085]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.410767, -0.194627, 0.749430, 0.905487, -0.598714, 2.966999, 0.933354]
std: [0.795711, 1.085666, 0.989796, 1.573714, 1.001905, 1.957567, 1.225773]
pca: [[0.127498, -0.199771, -0.419853, 0.008125, 0.430874, -0.028411, 0.762256, 0.000000, 0.000000, 0.000000], [-0.397074, 0.213653, 0.125831, 0.360579, 0.585469, 0.541255, -0.122894, 0.000000, 0.000000, 0.000000], [0.022233, -0.032989, -0.188273, 0.908939, -0.220447, -0.296740, -0.012204, 0.000000, 0.000000, 0.000000], [0.361116, 0.782270, -0.122900, -0.046152, 0.318047, -0.354824, -0.115592, 0.000000, 0.000000, 0.000000], [-0.179125, -0.423960, -0.348882, -0.116029, 0.443822, -0.407920, -0.538158, 0.000000, 0.000000, 0.000000], [0.811429, -0.317124, 0.175908, 0.151306, 0.205491, 0.304638, -0.228358, 0.000000, 0.000000, 0.000000], [-0.068374, -0.145260, 0.777609, 0.072529, 0.287434, -0.482782, 0.220434, 0.000000, 0.000000, 0.000000]]
fourier: [[11.362517, 11.459245, 14.140670, 19.428134, 36.969058], [16.709659, 17.516447, 18.037456, 22.599402, 23.103949], [14.804689, 15.394357, 16.122886, 17.702420, 67.448691], [24.236931, 25.509411, 26.762247, 30.839725, 81.493870], [15.797662, 15.893283, 17.805167, 19.406930, 53.884282], [30.800331, 34.561715, 36.256524, 39.364938, 267.029935], [18.453072, 21.251234, 21.464445, 22.105296, 84.001909]]
### 2
mean: [-0.436069, 1.814465, 0.038187, -0.745453, -1.286753, 0.192241, 0.082829]
std: [0.306838, 1.177632, 0.493691, 0.809724, 1.193054, 0.793276, 0.589952]
pca: [[0.153407, 0.008974, -0.250964, 0.170892, 0.213104, 0.864265, 0.303038, 0.000000, 0.000000, 0.000000], [-0.222065, 0.791795, 0.384217, 0.279338, -0.024626, -0.015738, 0.311836, 0.000000, 0.000000, 0.000000], [-0.317555, 0.010449, -0.049269, 0.057115, 0.918718, -0.133699, -0.177321, 0.000000, 0.000000, 0.000000], [0.454183, 0.213919, -0.421337, -0.281310, 0.198283, -0.390371, 0.547349, 0.000000, 0.000000, 0.000000], [0.739306, -0.084099, 0.564744, 0.221572, 0.243455, -0.022449, -0.136199, 0.000000, 0.000000, 0.000000], [-0.251861, -0.413450, 0.521918, -0.382767, 0.088776, 0.051033, 0.579853, 0.000000, 0.000000, 0.000000], [-0.100112, -0.386130, -0.134566, 0.784069, -0.058917, -0.281826, 0.353712, 0.000000, 0.000000, 0.000000]]
fourier: [[4.867629, 4.886703, 6.061173, 6.594506, 39.246219], [16.717008, 16.734896, 19.511106, 21.771749, 163.301881], [7.418632, 7.546622, 8.687108, 9.311052, 11.791691], [13.235172, 14.363675, 14.579132, 16.184622, 67.090780], [19.300955, 24.044397, 24.109528, 25.545118, 115.807795], [12.009852, 12.459879, 12.693667, 16.052441, 17.301671], [8.408619, 8.796354, 9.255321, 9.695499, 10.299640]]
### 4
mean: [0.340439, 0.369476, -0.628227, 0.089063, -0.203312, 0.483761, -0.047567]
std: [0.215860, 0.527803, 0.356982, 0.696534, 0.139722, 0.715490, 0.474740]
pca: [[0.153374, 0.143468, 0.971511, 0.107400, -0.011375, -0.003083, 0.019674, 0.000000, 0.000000, 0.000000], [0.405185, -0.417953, -0.042382, 0.240173, 0.157918, -0.018936, 0.759187, 0.000000, 0.000000, 0.000000], [-0.036501, 0.787320, -0.150374, 0.330899, 0.167588, 0.346752, 0.313634, 0.000000, 0.000000, 0.000000], [-0.564674, -0.245774, 0.165035, -0.370682, 0.186087, 0.591044, 0.268581, 0.000000, 0.000000, 0.000000], [0.093917, -0.168045, -0.000117, 0.257656, 0.853359, 0.094252, -0.399311, 0.000000, 0.000000, 0.000000], [0.586702, -0.096836, -0.065488, -0.074107, -0.266705, 0.700413, -0.273703, 0.000000, 0.000000, 0.000000], [-0.372926, -0.294684, 0.015276, 0.782307, -0.335954, 0.174931, -0.135587, 0.000000, 0.000000, 0.000000]]
fourier: [[3.725380, 3.739351, 3.822763, 3.845686, 30.639472], [7.853917, 8.066889, 8.398987, 9.189628, 33.252826], [5.384743, 5.705134, 6.401521, 7.197568, 56.540446], [10.815807, 11.110139, 11.122681, 11.848896, 13.552838], [2.073316, 2.109809, 2.121292, 2.433394, 18.298053], [11.185357, 11.226291, 12.495841, 13.234440, 43.538475], [7.376244, 7.512332, 7.733295, 7.997576, 9.211225]]
### 6
mean: [-0.217124, 0.078504, 0.260652, -0.395896, 0.542392, 0.503849, 0.782011]
std: [0.406461, 0.201320, 0.493924, 0.449054, 0.294089, 0.523450, 0.479271]
pca: [[-0.370122, 0.057923, 0.609662, -0.139647, -0.208224, -0.393322, 0.520006, 0.000000, 0.000000, 0.000000], [-0.171721, -0.355234, 0.323383, 0.258214, 0.636503, 0.469641, 0.217649, 0.000000, 0.000000, 0.000000], [0.435456, 0.644348, 0.534817, 0.202402, 0.041991, 0.190573, -0.173542, 0.000000, 0.000000, 0.000000], [-0.404491, 0.356320, -0.291454, 0.440307, -0.372391, 0.438854, 0.315181, 0.000000, 0.000000, 0.000000], [0.260853, 0.342062, -0.310226, -0.490738, 0.335787, 0.106822, 0.594745, 0.000000, 0.000000, 0.000000], [0.476374, -0.171361, -0.145872, 0.628864, 0.022356, -0.413688, 0.394103, 0.000000, 0.000000, 0.000000], [0.430477, -0.426538, 0.187731, -0.206623, -0.545725, 0.461817, 0.209111, 0.000000, 0.000000, 0.000000]]
fourier: [[6.330089, 6.829024, 7.197144, 7.253167, 19.541163], [3.180965, 3.303432, 3.436508, 3.909155, 7.065388], [7.651928, 7.686768, 8.143443, 9.440642, 23.458692], [6.694575, 7.564944, 7.656869, 7.794950, 35.630651], [4.754522, 4.779807, 4.813166, 5.635532, 48.815276], [8.083977, 8.640682, 9.160586, 9.194575, 45.346444], [7.265435, 7.992195, 8.071758, 8.402003, 70.380999]]
### 8
mean: [0.357044, 0.180712, -0.214399, 0.102673, 1.054547, 0.713722, 0.924104]
std: [0.353142, 0.271314, 0.377294, 0.129466, 0.723713, 0.394302, 0.497597]
pca: [[0.311891, -0.014150, 0.813116, 0.005951, -0.021769, 0.180595, -0.456336, 0.000000, 0.000000, 0.000000], [0.239966, -0.078609, 0.331793, 0.318951, -0.414713, -0.412286, 0.618428, 0.000000, 0.000000, 0.000000], [-0.333014, -0.333151, 0.125338, 0.655662, 0.288873, 0.463759, 0.184361, 0.000000, 0.000000, 0.000000], [-0.090335, 0.908186, 0.080693, 0.342849, 0.198361, -0.053550, 0.027696, 0.000000, 0.000000, 0.000000], [0.640672, 0.143432, -0.169482, -0.131871, 0.046872, 0.618197, 0.372139, 0.000000, 0.000000, 0.000000], [0.348902, -0.041640, -0.415954, 0.561351, -0.390382, -0.024551, -0.485180, 0.000000, 0.000000, 0.000000], [0.440327, -0.188476, -0.069232, 0.135245, 0.741721, -0.443503, -0.025700, 0.000000, 0.000000, 0.000000]]
fourier: [[5.633355, 6.147240, 6.266925, 6.275195, 32.133973], [4.268361, 4.662801, 4.814235, 4.814835, 16.264086], [5.985342, 6.315414, 6.491735, 6.767921, 19.295883], [1.719665, 1.900767, 2.030433, 2.193485, 9.240543], [11.395436, 12.381019, 12.605608, 12.681930, 94.909213], [6.124485, 6.758581, 6.759184, 6.915261, 64.234965], [7.779339, 8.436835, 8.638704, 8.819736, 83.169389]]
### 10
mean: [-0.330426, 0.530173, 0.017142, 1.295024, 0.569617, -0.730854, 0.435539]
std: [0.362962, 0.367759, 0.271810, 0.795074, 0.372672, 0.420113, 0.380755]
pca: [[-0.303001, -0.368119, -0.390375, 0.530228, -0.434665, -0.142821, 0.360296, 0.000000, 0.000000, 0.000000], [0.307314, -0.179024, -0.399712, -0.068905, 0.183362, 0.775346, 0.272412, 0.000000, 0.000000, 0.000000], [0.227060, 0.151197, -0.382953, -0.330227, 0.284111, -0.540519, 0.544978, 0.000000, 0.000000, 0.000000], [0.664388, -0.529819, 0.054288, 0.306103, 0.175628, -0.276464, -0.271951, 0.000000, 0.000000, 0.000000], [0.310239, 0.721370, -0.157138, 0.596414, -0.005334, 0.032204, -0.043697, 0.000000, 0.000000, 0.000000], [-0.351157, -0.090487, 0.295005, 0.393957, 0.744815, 0.036143, 0.264982, 0.000000, 0.000000, 0.000000], [0.318154, 0.017533, 0.653083, 0.021232, -0.333320, 0.086627, 0.594050, 0.000000, 0.000000, 0.000000]]
fourier: [[5.679996, 6.185159, 6.384250, 6.474146, 29.738384], [5.697959, 5.922622, 6.419560, 6.591084, 47.715556], [4.113614, 4.285328, 4.505780, 4.697993, 4.838632], [12.218186, 12.762325, 13.983004, 14.280384, 116.552134], [5.874103, 6.334408, 6.396050, 6.509335, 51.265510], [6.551021, 6.930966, 7.322843, 7.504222, 65.776846], [5.845831, 6.306761, 6.749968, 6.826374, 39.198514]]
### 12
mean: [-0.999045]
std: [0.724825]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.029889, 11.135997, 12.811516, 13.096814, 89.914085]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.101556, -0.161518, 0.153132, -0.149328, 0.307934], [-0.292583, 0.388131, -0.136571, -0.210083, -0.294516], [-0.351882, 0.084912, 0.479277, -0.067484, -0.100113], [0.507938, 0.313129, 0.202101, -0.291326, -0.037162], [-0.307334, -0.218279, -0.09585, -0.124478, 0.234885], [0.237028, -0.158461, 0.451675, 0.481993, 0.549941], [-0.069829, 0.24676, -0.239249, 0.438168, -0.110908]], "network.0.bias": [0.452033, 0.561245, 0.29963, -0.048806, 0.358963, 0.305415, 0.267526], "network.2.weight": [[-0.015723, 0.173583, 0.087373, -0.118683, -0.08279, -0.036536, -0.208821], [0.030767, 0.159471, 0.283741, -0.491486, 0.192642, 0.458297, 0.350974], [-0.124836, -0.253585, -0.045332, 0.074252, 0.380424, 0.202316, -0.111971], [0.388004, 0.111447, 0.218818, -0.340654, -0.072816, -0.239934, -0.014803], [-0.581146, -0.05264, 0.319983, -0.135679, -0.293342, -0.436958, 0.296537], [-0.558868, -0.254622, -0.340538, 0.400504, 0.165453, 0.038422, 0.035918], [-0.054634, -0.127612, 0.013919, 0.394427, 0.086878, -0.115889, -0.122899]], "network.2.bias": [-0.094535, 0.362044, -0.390503, -0.037301, -0.127581, 0.181996, 0.185857], "network.4.weight": [[0.107421, -0.030958, 0.35389, 0.058009, 0.06546, -0.308401, -0.182185], [0.034969, 0.301186, 0.076099, -0.432218, 0.017777, -0.014173, -0.460212], [-0.068372, -0.195173, -0.34394, 0.553566, 0.320341, -0.40834, 0.191467], [0.080235, -0.227584, 0.194756, 0.158521, -0.039729, 0.51782, 0.427074], [0.156485, 0.100467, -0.00891, 0.121087, 0.184021, 0.085037, -0.169999], [-0.24382, 0.334029, -0.04966, -0.308911, -0.026027, -0.423305, -0.363348], [-0.422606, -0.188874, 0.180272, -0.158127, 0.168404, 0.521194, -0.053758]], "network.4.bias": [0.495019, -0.122641, -0.099683, 0.27665, -0.332098, 0.01975, 0.081703], "network.6.weight": [[-0.491317, -0.109689, 0.212636, 0.234606, 0.034183, -0.470752, -0.016705], [-0.222868, 0.278816, -0.069457, 0.388781, 0.155396, -0.33794, -0.263874], [0.311173, 0.106101, -0.397922, -0.478728, 0.04663, 0.198337, -0.256383], [0.09876, -0.387112, -0.238054, 0.049592, -0.411441, -0.409779, 0.371756], [0.360581, -0.127743, 0.132731, -0.16949, 0.16049, 0.325114, -0.199129], [0.369531, 0.35384, -0.382273, -0.423625, -0.123077, 0.458099, 0.151397], [-0.159262, 0.357932, -0.080052, -0.182123, 0.147139, 0.514723, -0.171692]], "network.6.bias": [0.150254, 0.147178, 0.110088, -0.187977, 0.416406, 0.088358, 0.496323], "network.8.weight": [[0.147247, -0.197612, 0.470659, -0.143807, 0.522217, 0.229661, 0.063608], [0.242909, -0.178817, 0.19516, -0.285272, 0.346293, 0.258141, 0.083183], [0.373456, -0.184102, -0.409404, 0.403549, -0.234311, -0.085581, -0.25229], [-0.017065, -0.000762, 0.016622, -0.520128, -0.001037, -0.241637, -0.174107], [-0.334168, -0.166102, 0.488501, -0.551021, 0.377972, 0.45731, 0.481101], [0.073233, -0.253715, 0.021116, -0.526421, 0.109853, 0.413504, 0.279], [-0.030766, -0.262061, 0.273119, -0.24176, 0.288915, 0.302578, 0.430383]], "network.8.bias": [-0.107985, -0.178579, 0.235906, 0.279974, 0.22508, 0.279491, 0.320933], "network.10.weight": [[-0.270427, -0.28806, 0.362148, -0.317582, -0.251381, 0.125285, -0.171404], [-0.219004, 0.378921, -0.153942, -0.102965, 0.442164, -0.203033, 0.214379], [0.213921, -0.192241, -0.351216, -0.411897, 0.286589, -0.199471, 0.107425], [0.37709, -0.076445, -0.279817, -0.161316, 0.365364, 0.547785, 0.438271], [-0.282994, 0.048191, -0.443896, 0.140703, 0.188858, 0.226648, 0.344082], [-0.402463, 0.111827, 0.439856, 0.399542, -0.478426, -0.118008, 0.242869], [0.286013, 0.316126, -0.224495, 0.293604, 0.084103, 0.431125, 0.048607]], "network.10.bias": [0.123182, 0.055609, -0.252605, 0.177422, 0.023725, -0.304248, -0.081112], "network.12.weight": [[0.254717, -0.403498, -0.373062, -0.430695, -0.306028, 0.183039, -0.221673]], "network.12.bias": [-0.04509]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6925990581512451, "train_acc": 0.55, "val_loss": 0.6800563931465149, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6862382292747498, "train_acc": 0.55, "val_loss": 0.6720321774482727, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.683437168598175, "train_acc": 0.55, "val_loss": 0.6548855304718018, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6728981733322144, "train_acc": 0.55, "val_loss": 0.6142439842224121, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6595568060874939, "train_acc": 0.47, "val_loss": 0.5035485625267029, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5558302402496338, "train_acc": 0.56, "val_loss": 0.3484804630279541, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4287234991788864, "train_acc": 0.915, "val_loss": 0.24693666398525238, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.34573327004909515, "train_acc": 0.925, "val_loss": 0.19625455141067505, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.27663591504096985, "train_acc": 0.92, "val_loss": 0.15865232050418854, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2462129145860672, "train_acc": 0.92, "val_loss": 0.1339540034532547, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.20401261001825333, "train_acc": 0.935, "val_loss": 0.12274635583162308, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.19109953939914703, "train_acc": 0.935, "val_loss": 0.11795858293771744, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2052450180053711, "train_acc": 0.935, "val_loss": 0.12012355029582977, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1929297298192978, "train_acc": 0.94, "val_loss": 0.1200207993388176, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6800563931465149, "final_val_loss": 0.6142439842224121, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5035485625267029, "final_val_loss": 0.1200207993388176, "initial_val_acc": 0.62, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
66
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7511, "learning_rate": 0.058202799735515814, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
mean: [-2.185612, -0.243843, -0.307021, -0.237622, 2.833567]
std: [1.192980, 1.833520, 3.564044, 1.322726, 2.588469]
pca: [[0.210028, -0.204356, 0.330221, 0.212750, 0.871676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.015328, 0.337455, 0.813910, -0.456834, -0.121418, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.910240, 0.345627, -0.210424, -0.078578, -0.039396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.022018, 0.300551, 0.317676, 0.859131, -0.264879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355853, 0.796601, -0.288632, -0.041949, 0.392080, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.170236, 19.431546, 21.981835, 24.156501, 196.705128], [29.292698, 30.519311, 30.967056, 33.649365, 35.623748], [53.229812, 59.273424, 61.861179, 68.803509, 71.193977], [20.307903, 21.311805, 21.385988, 22.588718, 23.690625], [41.785596, 44.910312, 46.402579, 48.821320, 255.021011]]
### 2
mean: [-1.385132, -0.883141, 0.633398, 1.004091, 0.415389]
std: [1.293162, 0.346930, 0.746334, 1.587965, 0.762366]
pca: [[-0.327815, 0.862660, 0.184682, -0.333244, -0.056539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.042908, 0.238547, -0.076299, 0.474452, 0.842810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.188988, -0.065745, 0.963839, 0.175190, 0.016864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.874551, 0.217522, -0.090947, -0.379575, 0.188402, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.300233, 0.383764, -0.151045, 0.699339, -0.500695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.186910, 20.865958, 21.011669, 21.740599, 124.661925], [5.528222, 5.688714, 5.756336, 6.568035, 79.482720], [11.189804, 13.397288, 13.489236, 14.668042, 57.005785], [23.737948, 24.930835, 25.251546, 26.629826, 90.368158], [11.051002, 12.710936, 13.876677, 15.753949, 37.384989]]
### 4
mean: [-0.592937, -0.564266, 0.979826, -1.934950, -1.276828]
std: [0.186975, 0.960658, 1.371603, 1.721316, 1.131544]
pca: [[0.055539, -0.147109, 0.154409, 0.873127, 0.434835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.308360, 0.671589, 0.478034, -0.204389, 0.428474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.524697, -0.423685, 0.248342, -0.373900, 0.586268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673237, -0.318952, -0.462822, -0.225885, 0.424020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416263, -0.496072, 0.686850, -0.071054, -0.322220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.076265, 3.237209, 3.429466, 3.543811, 53.364338], [13.073136, 14.644090, 15.766963, 17.509839, 50.783954], [21.652999, 21.733307, 23.157579, 23.743958, 88.184314], [27.527871, 29.509075, 30.471338, 31.119738, 174.145515], [16.351923, 19.547796, 20.599883, 20.687812, 114.914519]]
### 6
mean: [0.403820, -1.344079, -0.562539, 0.407258, 0.396759]
std: [1.063138, 1.299931, 0.127189, 1.078292, 0.947365]
pca: [[-0.481119, 0.387463, 0.637077, -0.031612, -0.459924, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588992, 0.344980, 0.504095, -0.350005, 0.396813, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.015481, 0.622597, -0.144591, 0.724247, 0.258249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.488211, -0.354577, 0.358387, 0.137561, 0.698971, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427811, 0.466378, -0.436661, -0.577096, 0.275239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.231271, 15.462066, 18.273537, 18.442423, 36.343810], [20.700204, 20.784136, 21.665114, 22.396492, 120.967083], [2.004863, 2.051516, 2.188674, 2.617740, 50.628505], [17.307177, 17.410788, 17.881754, 18.567303, 36.653181], [13.486729, 13.675819, 16.246709, 16.534940, 35.708341]]
### 8
mean: [-0.138795]
std: [1.580945]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.997298, 24.526224, 25.886484, 26.302300, 26.556601]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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0.127947,
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],
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0.225739
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],
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}
## Activation Signature
### 0
mean: [-2.185612, -0.243843, -0.307021, -0.237622, 2.833567]
std: [1.192980, 1.833520, 3.564044, 1.322726, 2.588469]
pca: [[0.210028, -0.204356, 0.330221, 0.212750, 0.871676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.015328, 0.337455, 0.813910, -0.456834, -0.121418, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.910240, 0.345627, -0.210424, -0.078578, -0.039396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.022018, 0.300551, 0.317676, 0.859131, -0.264879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.355853, 0.796601, -0.288632, -0.041949, 0.392080, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.170236, 19.431546, 21.981835, 24.156501, 196.705128], [29.292698, 30.519311, 30.967056, 33.649365, 35.623748], [53.229812, 59.273424, 61.861179, 68.803509, 71.193977], [20.307903, 21.311805, 21.385988, 22.588718, 23.690625], [41.785596, 44.910312, 46.402579, 48.821320, 255.021011]]
### 2
mean: [-1.385132, -0.883141, 0.633398, 1.004091, 0.415389]
std: [1.293162, 0.346930, 0.746334, 1.587965, 0.762366]
pca: [[-0.327815, 0.862660, 0.184682, -0.333244, -0.056539, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.042908, 0.238547, -0.076299, 0.474452, 0.842810, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.188988, -0.065745, 0.963839, 0.175190, 0.016864, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.874551, 0.217522, -0.090947, -0.379575, 0.188402, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.300233, 0.383764, -0.151045, 0.699339, -0.500695, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.186910, 20.865958, 21.011669, 21.740599, 124.661925], [5.528222, 5.688714, 5.756336, 6.568035, 79.482720], [11.189804, 13.397288, 13.489236, 14.668042, 57.005785], [23.737948, 24.930835, 25.251546, 26.629826, 90.368158], [11.051002, 12.710936, 13.876677, 15.753949, 37.384989]]
### 4
mean: [-0.592937, -0.564266, 0.979826, -1.934950, -1.276828]
std: [0.186975, 0.960658, 1.371603, 1.721316, 1.131544]
pca: [[0.055539, -0.147109, 0.154409, 0.873127, 0.434835, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.308360, 0.671589, 0.478034, -0.204389, 0.428474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.524697, -0.423685, 0.248342, -0.373900, 0.586268, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673237, -0.318952, -0.462822, -0.225885, 0.424020, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.416263, -0.496072, 0.686850, -0.071054, -0.322220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.076265, 3.237209, 3.429466, 3.543811, 53.364338], [13.073136, 14.644090, 15.766963, 17.509839, 50.783954], [21.652999, 21.733307, 23.157579, 23.743958, 88.184314], [27.527871, 29.509075, 30.471338, 31.119738, 174.145515], [16.351923, 19.547796, 20.599883, 20.687812, 114.914519]]
### 6
mean: [0.403820, -1.344079, -0.562539, 0.407258, 0.396759]
std: [1.063138, 1.299931, 0.127189, 1.078292, 0.947365]
pca: [[-0.481119, 0.387463, 0.637077, -0.031612, -0.459924, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588992, 0.344980, 0.504095, -0.350005, 0.396813, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.015481, 0.622597, -0.144591, 0.724247, 0.258249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.488211, -0.354577, 0.358387, 0.137561, 0.698971, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427811, 0.466378, -0.436661, -0.577096, 0.275239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.231271, 15.462066, 18.273537, 18.442423, 36.343810], [20.700204, 20.784136, 21.665114, 22.396492, 120.967083], [2.004863, 2.051516, 2.188674, 2.617740, 50.628505], [17.307177, 17.410788, 17.881754, 18.567303, 36.653181], [13.486729, 13.675819, 16.246709, 16.534940, 35.708341]]
### 8
mean: [-0.138795]
std: [1.580945]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.997298, 24.526224, 25.886484, 26.302300, 26.556601]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.232249, -0.089599, -0.381569, -0.124121, -0.138739], [0.408665, -0.897651, 0.120771, 0.570748, -0.732512], [-1.567308, -0.178205, 0.093975, 0.694554, 0.127996], [0.334795, -0.471708, -0.32874, 0.523661, 0.071503], [0.714422, -0.115039, 0.491603, 0.92764, -0.07798]], "network.0.bias": [-0.498983, 0.310533, 0.124538, -0.319149, -0.765866], "network.2.weight": [[-0.471198, -0.135319, -0.838107, -0.1313, -0.024701], [-0.132745, -0.008575, -0.111056, -0.340297, 0.001706], [-0.032354, 0.271892, -0.116336, -0.031744, 0.272713], [0.127947, -1.08084, 0.535781, -0.724944, 0.560467], [0.123831, -0.396696, 0.105387, -0.831842, 0.225739]], "network.2.bias": [-0.201152, -0.620576, -0.183381, -0.334506, 0.192465], "network.4.weight": [[-0.118089, -0.1402, -0.245145, -0.012331, -0.023531], [-0.227654, 0.257579, 0.571577, -0.615172, -0.454495], [0.661489, -0.067098, -0.046067, 0.935891, 0.192253], [-0.353716, 0.003014, -1.058861, -0.92879, 0.065128], [0.043234, -0.419134, -1.047966, -0.354078, -0.200614]], "network.4.bias": [-0.399192, 0.039047, -0.218619, -0.139931, -0.031514], "network.6.weight": [[-0.089762, -0.501051, 0.77092, 0.250023, -0.306192], [0.08986, 0.03797, -0.990377, -0.250958, 0.158307], [0.341852, -0.429884, -0.060929, -0.268395, 0.252624], [-0.034759, 0.016725, 0.82482, -0.097549, 0.11688], [-0.035388, -0.531105, 0.678573, -0.205668, -0.184087]], "network.6.bias": [-0.350269, -0.304661, -0.448171, -0.464044, -0.256491], "network.8.weight": [[-0.796989, 0.103125, 0.189972, -0.692764, -0.262366]], "network.8.bias": [0.911025]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6921209990978241, "train_acc": 0.475, "val_loss": 0.7133306860923767, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6447307169437408, "train_acc": 0.595, "val_loss": 0.8337544798851013, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6655393838882446, "train_acc": 0.595, "val_loss": 0.745745062828064, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6355307400226593, "train_acc": 0.595, "val_loss": 0.6932868361473083, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6295746862888336, "train_acc": 0.595, "val_loss": 0.6717107892036438, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6297376751899719, "train_acc": 0.555, "val_loss": 0.6308104991912842, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5817172825336456, "train_acc": 0.695, "val_loss": 0.5957677364349365, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5595310926437378, "train_acc": 0.76, "val_loss": 0.5194973945617676, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5252672433853149, "train_acc": 0.77, "val_loss": 0.49071288108825684, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5166171789169312, "train_acc": 0.77, "val_loss": 0.444021612405777, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.510176807641983, "train_acc": 0.79, "val_loss": 0.4164682626724243, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5001608580350876, "train_acc": 0.79, "val_loss": 0.4011833071708679, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4854326993227005, "train_acc": 0.795, "val_loss": 0.37536635994911194, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.49610574543476105, "train_acc": 0.78, "val_loss": 0.3757370710372925, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4847912937402725, "train_acc": 0.79, "val_loss": 0.42722687125205994, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7133306860923767, "final_val_loss": 0.6717107892036438, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6308104991912842, "final_val_loss": 0.42722687125205994, "initial_val_acc": 0.54, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 13}, "improvement": 0.44, "first_improvement_epoch": 4}}
|
67
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.58, "improved_accuracy": 0.76, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8907, "learning_rate": 0.030897448687811885, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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],
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.235337, 1.273479, -0.412854, 1.865602, 1.966766]
std: [1.282535, 1.283954, 1.181584, 2.159492, 2.006828]
pca: [[0.357355, -0.241506, -0.447483, 0.621111, -0.477443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176495, -0.483430, -0.454493, -0.060000, 0.724556, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.210539, 0.372443, 0.372168, 0.665206, 0.485748, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673859, 0.568892, -0.289158, -0.372361, 0.003208, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585434, -0.495598, 0.609158, -0.171668, -0.105382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.339315, 20.393293, 23.278734, 25.019645, 111.180300], [19.737938, 20.124636, 23.774419, 25.355715, 114.613118], [15.539209, 15.604801, 20.335116, 23.063717, 37.156906], [35.999833, 37.837996, 41.874569, 50.196255, 167.904168], [29.295391, 32.600809, 37.416446, 39.728643, 177.008960]]
### 2
mean: [0.892096, -1.666154, 0.083991, -1.965493, -0.974117]
std: [1.815390, 1.249697, 1.025338, 1.477663, 0.582268]
pca: [[0.669654, 0.565628, 0.376298, -0.290254, -0.076033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386777, 0.630192, -0.109990, 0.019219, 0.663924, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215517, -0.239659, 0.902744, 0.141296, 0.247394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.589367, 0.255365, 0.157106, -0.515723, -0.544778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090367, 0.400345, 0.081682, 0.793378, -0.442083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.109276, 29.025564, 32.099886, 45.302159, 80.288634], [19.237726, 19.634626, 22.662168, 24.911823, 149.953827], [16.104185, 16.518921, 17.243255, 18.135673, 19.737762], [25.299392, 25.572212, 26.738033, 32.540491, 176.894347], [9.221546, 11.280344, 11.332661, 11.651624, 87.670537]]
### 4
mean: [0.852739, 0.087568, 1.334754, 0.568072, -0.829714]
std: [1.053522, 0.613188, 0.928505, 0.475479, 0.470334]
pca: [[0.661295, -0.273221, -0.515577, 0.214724, -0.419658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290740, 0.731329, -0.423672, 0.395528, -0.211396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570100, 0.418885, 0.625588, 0.327937, 0.024860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.297422, 0.141953, -0.395368, -0.009141, 0.857316, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254333, -0.441467, 0.083695, 0.830557, 0.208785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.396688, 17.203699, 20.259080, 24.527278, 76.746479], [8.991668, 10.826288, 11.516627, 11.700881, 12.230468], [13.821021, 14.050360, 16.930056, 22.252557, 120.127886], [6.964959, 7.722278, 8.297677, 11.421931, 51.126446], [7.076961, 7.930382, 9.344930, 10.786551, 74.674226]]
### 6
mean: [-0.957788, 0.130154, 1.408926, -0.042517, 1.123749]
std: [0.475091, 0.323005, 1.224995, 0.494746, 0.543624]
pca: [[-0.316767, -0.165364, 0.376278, 0.761751, 0.387897, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021191, 0.783167, -0.501757, 0.342805, 0.130095, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.823227, 0.222221, 0.441959, 0.242260, -0.137466, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298932, 0.531915, 0.608856, -0.438838, 0.253816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363520, -0.164278, -0.201548, -0.225726, 0.865617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.153306, 7.394938, 8.515592, 11.265744, 86.200901], [4.477610, 5.489340, 5.582810, 6.005357, 11.713892], [18.066792, 19.414243, 22.836888, 29.217769, 126.803309], [6.815324, 8.805005, 8.947434, 10.054242, 10.250477], [7.701871, 9.351428, 10.911689, 12.464655, 101.137390]]
### 8
mean: [-1.284479]
std: [1.377141]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.276982, 24.637588, 28.344781, 31.428423, 115.603155]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.009888,
0.641147,
0.138565,
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0.205405
],
[
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0.042482,
0.193119,
0.115114
],
[
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-0.18062,
0.087232,
-0.357426,
-0.094939
],
[
0.758669,
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0.283599,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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0.256409,
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"network.4.weight": [
[
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0.028208,
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],
[
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],
[
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[
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[
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"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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]
],
"network.6.bias": [
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0.157829,
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0.741822
],
"network.8.weight": [
[
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0.620364,
-0.779292,
0.639533,
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]
],
"network.8.bias": [
0.186008
]
}
## Activation Signature
### 0
mean: [1.235337, 1.273479, -0.412854, 1.865602, 1.966766]
std: [1.282535, 1.283954, 1.181584, 2.159492, 2.006828]
pca: [[0.357355, -0.241506, -0.447483, 0.621111, -0.477443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176495, -0.483430, -0.454493, -0.060000, 0.724556, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.210539, 0.372443, 0.372168, 0.665206, 0.485748, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673859, 0.568892, -0.289158, -0.372361, 0.003208, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.585434, -0.495598, 0.609158, -0.171668, -0.105382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.339315, 20.393293, 23.278734, 25.019645, 111.180300], [19.737938, 20.124636, 23.774419, 25.355715, 114.613118], [15.539209, 15.604801, 20.335116, 23.063717, 37.156906], [35.999833, 37.837996, 41.874569, 50.196255, 167.904168], [29.295391, 32.600809, 37.416446, 39.728643, 177.008960]]
### 2
mean: [0.892096, -1.666154, 0.083991, -1.965493, -0.974117]
std: [1.815390, 1.249697, 1.025338, 1.477663, 0.582268]
pca: [[0.669654, 0.565628, 0.376298, -0.290254, -0.076033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.386777, 0.630192, -0.109990, 0.019219, 0.663924, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215517, -0.239659, 0.902744, 0.141296, 0.247394, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.589367, 0.255365, 0.157106, -0.515723, -0.544778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090367, 0.400345, 0.081682, 0.793378, -0.442083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.109276, 29.025564, 32.099886, 45.302159, 80.288634], [19.237726, 19.634626, 22.662168, 24.911823, 149.953827], [16.104185, 16.518921, 17.243255, 18.135673, 19.737762], [25.299392, 25.572212, 26.738033, 32.540491, 176.894347], [9.221546, 11.280344, 11.332661, 11.651624, 87.670537]]
### 4
mean: [0.852739, 0.087568, 1.334754, 0.568072, -0.829714]
std: [1.053522, 0.613188, 0.928505, 0.475479, 0.470334]
pca: [[0.661295, -0.273221, -0.515577, 0.214724, -0.419658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290740, 0.731329, -0.423672, 0.395528, -0.211396, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570100, 0.418885, 0.625588, 0.327937, 0.024860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.297422, 0.141953, -0.395368, -0.009141, 0.857316, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.254333, -0.441467, 0.083695, 0.830557, 0.208785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.396688, 17.203699, 20.259080, 24.527278, 76.746479], [8.991668, 10.826288, 11.516627, 11.700881, 12.230468], [13.821021, 14.050360, 16.930056, 22.252557, 120.127886], [6.964959, 7.722278, 8.297677, 11.421931, 51.126446], [7.076961, 7.930382, 9.344930, 10.786551, 74.674226]]
### 6
mean: [-0.957788, 0.130154, 1.408926, -0.042517, 1.123749]
std: [0.475091, 0.323005, 1.224995, 0.494746, 0.543624]
pca: [[-0.316767, -0.165364, 0.376278, 0.761751, 0.387897, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021191, 0.783167, -0.501757, 0.342805, 0.130095, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.823227, 0.222221, 0.441959, 0.242260, -0.137466, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298932, 0.531915, 0.608856, -0.438838, 0.253816, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363520, -0.164278, -0.201548, -0.225726, 0.865617, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.153306, 7.394938, 8.515592, 11.265744, 86.200901], [4.477610, 5.489340, 5.582810, 6.005357, 11.713892], [18.066792, 19.414243, 22.836888, 29.217769, 126.803309], [6.815324, 8.805005, 8.947434, 10.054242, 10.250477], [7.701871, 9.351428, 10.911689, 12.464655, 101.137390]]
### 8
mean: [-1.284479]
std: [1.377141]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.276982, 24.637588, 28.344781, 31.428423, 115.603155]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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28.34478098066862, 31.428423029474505, 115.60315459221601]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.009888, 0.641147, 0.138565, -0.145533, 0.205405], [-0.151669, 0.599128, 0.042482, 0.193119, 0.115114], [0.377309, -0.18062, 0.087232, -0.357426, -0.094939], [0.758669, -0.245578, 0.283599, -0.160147, 0.515992], [0.707678, 0.44216, -0.122129, 0.274866, -0.453137]], "network.0.bias": [-0.175972, -0.274368, 0.14809, 0.483609, 0.504933], "network.2.weight": [[-0.327086, -0.336747, 0.785818, 0.687358, 0.040058], [0.059471, -0.592267, -0.178522, -0.423504, -0.121326], [0.409429, 0.419216, -0.184145, 0.013453, -0.603493], [-0.017815, 0.087031, -0.308633, -0.471306, -0.370673], [0.017539, -0.459915, -0.498919, -0.002532, -0.038881]], "network.2.bias": [0.112014, 0.165175, 0.256409, -0.295567, -0.160094], "network.4.weight": [[0.633181, -0.028771, -0.415081, 0.028208, 0.171664], [-0.211837, 0.259142, 0.772356, 0.08722, -0.532885], [0.61711, 0.010066, 0.273736, 0.071259, -0.02139], [0.31361, 0.120073, 0.068903, 0.122649, -0.165219], [-0.303023, 0.139267, -0.367824, -0.001428, 0.176388]], "network.4.bias": [0.296942, 0.007342, 0.508069, 0.177456, -0.325709], "network.6.weight": [[-0.322636, 0.007023, -0.254029, 0.179406, -0.049262], [-0.181076, 0.653802, 0.033392, 0.550359, -0.020996], [0.471568, -0.439173, 0.532856, 0.425304, -0.26292], [-0.552881, 0.359634, 0.511399, -0.545899, 0.144752], [0.410148, -0.277398, 0.0521, 0.044797, 0.387408]], "network.6.bias": [-0.439336, -0.240228, 0.157829, -0.024442, 0.741822], "network.8.weight": [[-0.081561, 0.620364, -0.779292, 0.639533, -0.526476]], "network.8.bias": [0.186008]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7216087579727173, "train_acc": 0.43, "val_loss": 0.6994919776916504, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6977250277996063, "train_acc": 0.46, "val_loss": 0.6820020079612732, "val_acc": 0.68}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6809456944465637, "train_acc": 0.625, "val_loss": 0.6548643708229065, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.655646562576294, "train_acc": 0.585, "val_loss": 0.6256932616233826, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5987500548362732, "train_acc": 0.65, "val_loss": 0.5751545429229736, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.542113333940506, "train_acc": 0.73, "val_loss": 0.5454287528991699, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5107672214508057, "train_acc": 0.73, "val_loss": 0.5490142107009888, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4848547726869583, "train_acc": 0.76, "val_loss": 0.5484007000923157, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.485787957906723, "train_acc": 0.775, "val_loss": 0.5207595229148865, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.46423694491386414, "train_acc": 0.79, "val_loss": 0.5272437334060669, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.46479424834251404, "train_acc": 0.78, "val_loss": 0.5167215466499329, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.45888303220272064, "train_acc": 0.76, "val_loss": 0.49604225158691406, "val_acc": 0.74}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.4535121023654938, "train_acc": 0.77, "val_loss": 0.4760066866874695, "val_acc": 0.72}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6994919776916504, "final_val_loss": 0.6548643708229065, "initial_val_acc": 0.46, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6256932616233826, "final_val_loss": 0.4760066866874695, "initial_val_acc": 0.64, "final_val_acc": 0.72, "best_val_acc": 0.76, "best_epoch": 9}, "improvement": 0.18000000000000005, "first_improvement_epoch": 2}}
|
68
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.8, "improved_accuracy": 0.98, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1256, "learning_rate": 0.06504650220298641, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.170515
],
[
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],
[
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],
[
-0.371011,
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],
[
-0.60884,
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],
[
0.446745,
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0.027456,
0.690538
],
[
0.505343,
0.317357,
-0.064778,
-0.246032,
0.038806
],
[
0.079341,
-0.08966,
-0.275958,
-0.472894,
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## Activation Signature
### 0
mean: [1.611184, 1.512405, -0.484736, -1.515733, 0.001563, 1.237019, 0.237304, -1.864718]
std: [1.485489, 1.913559, 1.457588, 1.234149, 1.429496, 1.736269, 1.352850, 1.274485]
pca: [[-0.274631, 0.613287, 0.130189, 0.019768, 0.290812, -0.278842, 0.600425, 0.091006, 0.000000, 0.000000], [0.577980, -0.062223, 0.316484, 0.106206, -0.082294, -0.470641, -0.008954, 0.567688, 0.000000, 0.000000], [-0.193074, -0.340441, -0.056433, 0.894866, 0.074290, -0.029767, 0.190511, 0.012400, 0.000000, 0.000000], [-0.330991, -0.120402, -0.373449, -0.151344, 0.168217, 0.247505, -0.028640, 0.789432, 0.000000, 0.000000], [-0.295048, 0.072416, 0.700548, 0.083849, 0.377310, 0.164297, -0.482968, 0.085382, 0.000000, 0.000000], [0.443192, 0.340903, -0.416934, 0.218082, 0.600084, 0.073043, -0.306942, -0.079518, 0.000000, 0.000000], [0.400234, -0.084716, 0.274553, -0.017086, 0.114464, 0.715042, 0.479631, 0.050321, 0.000000, 0.000000], [-0.004985, -0.600812, 0.016086, -0.331297, 0.599395, -0.308198, 0.211607, -0.173048, 0.000000, 0.000000]]
fourier: [[24.112846, 24.153595, 26.111889, 26.892952, 145.006580], [31.042055, 31.163698, 32.159403, 33.526747, 136.116428], [27.031212, 27.034841, 28.459498, 29.807858, 43.626262], [19.741276, 20.303325, 20.427688, 20.975132, 136.415984], [18.718436, 21.689370, 22.273903, 27.569079, 28.598020], [28.766993, 29.286075, 34.695461, 36.403837, 111.331679], [21.357329, 21.559226, 21.779097, 22.937459, 24.354203], [18.576224, 19.158651, 20.281740, 23.692465, 167.824570]]
### 2
mean: [1.504020, 0.022451, 0.677333, 1.475451, 1.105288, -0.164428, -1.271140, 0.866007]
std: [1.735442, 1.020999, 1.168955, 1.545122, 1.444413, 0.879139, 0.708074, 1.313963]
pca: [[0.482833, 0.489644, -0.482378, 0.370994, 0.187168, -0.087436, 0.118022, -0.316527, 0.000000, 0.000000], [-0.301733, -0.147007, 0.057405, 0.721892, 0.016039, 0.086331, 0.537700, 0.257080, 0.000000, 0.000000], [-0.332667, 0.294832, 0.105188, -0.385845, 0.649142, 0.102936, 0.434810, -0.146374, 0.000000, 0.000000], [0.447396, 0.319851, 0.580824, 0.090136, 0.237236, -0.088803, -0.090213, 0.528910, 0.000000, 0.000000], [-0.404021, 0.395476, -0.456611, 0.013680, 0.044618, 0.170292, -0.377850, 0.545824, 0.000000, 0.000000], [0.244416, -0.258024, -0.009385, 0.090238, 0.263098, 0.873262, -0.174379, -0.056915, 0.000000, 0.000000], [-0.148765, -0.353224, -0.004786, 0.298001, 0.613095, -0.381621, -0.476217, -0.126380, 0.000000, 0.000000], [-0.346260, 0.449068, 0.454962, 0.295126, -0.199871, 0.170881, -0.315896, -0.464126, 0.000000, 0.000000]]
fourier: [[27.169285, 30.490468, 32.821240, 34.861868, 135.361771], [16.398457, 16.593764, 17.887931, 18.969381, 19.884897], [20.063538, 20.489439, 20.609394, 24.530195, 60.959967], [24.820633, 25.741555, 26.672851, 28.625341, 132.790552], [24.071996, 24.902908, 25.738978, 29.089753, 99.475907], [14.798531, 15.413857, 15.502384, 15.846273, 18.154977], [12.606669, 12.928991, 13.278732, 13.907315, 114.402646], [21.748073, 24.001092, 25.624849, 28.857196, 77.940639]]
### 4
mean: [1.080933, -1.471419, 0.833999, 1.529043, 0.222540, -0.291684, -0.054031, 0.356748]
std: [0.987683, 1.688227, 1.708796, 1.705934, 1.470150, 0.367840, 0.721843, 1.636514]
pca: [[0.177385, 0.620072, 0.202185, -0.544497, -0.182468, 0.308921, -0.334210, -0.079154, 0.000000, 0.000000], [0.421279, -0.533188, 0.629285, -0.162189, 0.015885, 0.288661, 0.102415, 0.147861, 0.000000, 0.000000], [0.460648, 0.082551, -0.363779, -0.460203, 0.156833, -0.256873, 0.577450, 0.113303, 0.000000, 0.000000], [0.431709, 0.501041, 0.357629, 0.582369, 0.106244, -0.250341, 0.115347, 0.090931, 0.000000, 0.000000], [-0.392872, 0.183453, 0.312156, -0.033418, 0.195143, 0.240711, 0.608756, -0.496821, 0.000000, 0.000000], [-0.091892, 0.090006, -0.065220, -0.025051, 0.874102, 0.277076, -0.178599, 0.325347, 0.000000, 0.000000], [0.191090, 0.067590, -0.391304, 0.337292, -0.250859, 0.744225, 0.230096, 0.149285, 0.000000, 0.000000], [-0.439523, 0.164435, 0.219257, -0.103762, -0.255936, -0.063281, 0.275018, 0.758813, 0.000000, 0.000000]]
fourier: [[14.941716, 16.202080, 16.394066, 17.844657, 97.283939], [27.032196, 28.647628, 29.539215, 32.025213, 132.427715], [28.334586, 29.735993, 31.117418, 33.797649, 75.059891], [28.877549, 31.127964, 31.150372, 32.238737, 137.613851], [23.755644, 24.418566, 26.375637, 27.095115, 28.299067], [5.665433, 5.770632, 6.216470, 6.650872, 26.251602], [11.234546, 12.398213, 12.772751, 13.551400, 15.153735], [27.878863, 29.257397, 29.443968, 31.670694, 32.107322]]
### 6
mean: [0.041555, 1.291753, 0.151083, 0.788395, 1.395406, -0.086233, -0.331015, 1.139644]
std: [0.919558, 1.713158, 1.678138, 0.954319, 2.194816, 1.201107, 1.953894, 2.557090]
pca: [[-0.183881, 0.258336, -0.027666, -0.546383, 0.604313, -0.132737, -0.383848, 0.264572, 0.000000, 0.000000], [0.339094, 0.543854, -0.097600, 0.059634, 0.033108, 0.672131, -0.234635, -0.261239, 0.000000, 0.000000], [-0.336781, 0.451270, 0.136780, 0.601269, 0.342113, -0.328484, 0.064536, -0.271281, 0.000000, 0.000000], [0.175107, 0.466377, -0.275354, -0.117809, -0.021415, -0.091932, 0.697289, 0.408668, 0.000000, 0.000000], [0.451396, 0.302092, 0.605093, -0.214612, -0.287311, -0.431316, -0.121344, -0.097371, 0.000000, 0.000000], [-0.242048, 0.291291, -0.502012, 0.021128, -0.575938, -0.277898, -0.433356, 0.085849, 0.000000, 0.000000], [-0.404421, 0.142588, 0.511668, 0.153392, -0.237941, 0.363935, -0.065603, 0.580871, 0.000000, 0.000000], [0.530299, -0.141038, -0.123382, 0.502467, 0.212937, -0.136225, -0.316867, 0.516615, 0.000000, 0.000000]]
fourier: [[15.775925, 16.347881, 16.862446, 16.945041, 17.309080], [28.856403, 30.730880, 31.920751, 33.709422, 116.257752], [28.394509, 30.289968, 30.812318, 30.863516, 31.711300], [15.899884, 16.325549, 16.620426, 19.982809, 70.955525], [36.450037, 38.540661, 41.209763, 42.233147, 125.586530], [20.756853, 20.770472, 21.653060, 22.692173, 22.965070], [31.947146, 32.031628, 34.346792, 35.263366, 38.098752], [42.370422, 44.305615, 47.276680, 49.834684, 102.567939]]
### 8
mean: [-0.390864, 1.712852, 1.769032, -1.180854, 1.545932, -1.567824, 2.260469, 1.704362]
std: [2.301962, 2.391800, 2.292709, 2.186953, 2.094932, 1.545431, 3.979944, 2.656994]
pca: [[-0.321281, -0.461303, 0.686481, 0.044483, 0.280240, 0.225334, -0.127523, -0.255288, 0.000000, 0.000000], [0.334195, -0.461064, -0.426002, -0.124395, 0.231234, 0.582135, 0.267998, -0.120868, 0.000000, 0.000000], [0.323593, 0.010968, 0.164856, -0.556368, 0.371702, -0.030955, -0.407265, 0.503446, 0.000000, 0.000000], [-0.308206, 0.163308, -0.197647, 0.158586, 0.800794, -0.251723, 0.319459, 0.086231, 0.000000, 0.000000], [0.294600, -0.245326, 0.134024, 0.718289, -0.002355, 0.008234, -0.004093, 0.564831, 0.000000, 0.000000], [-0.209571, 0.588366, 0.136753, 0.077204, 0.011222, 0.730805, 0.030618, 0.223841, 0.000000, 0.000000], [0.560617, 0.348910, 0.100796, 0.293110, 0.291887, 0.003261, -0.304376, -0.538557, 0.000000, 0.000000], [0.374685, 0.140473, 0.483944, -0.200096, -0.056858, -0.108934, 0.741887, 0.011944, 0.000000, 0.000000]]
fourier: [[37.443826, 38.911822, 39.798295, 43.689091, 43.983270], [40.265426, 43.691436, 44.742853, 46.233732, 154.156699], [37.963292, 41.996052, 42.278696, 44.156737, 159.212894], [36.660488, 40.089567, 41.311620, 41.623489, 106.276881], [35.309871, 38.422437, 39.587680, 39.998957, 139.133875], [26.043963, 27.475653, 27.558691, 31.384022, 141.104170], [66.437185, 70.021357, 74.105867, 76.675532, 203.442256], [43.886981, 47.894805, 48.970071, 51.352240, 153.392582]]
### 10
mean: [-3.941277]
std: [4.353489]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.335790, 77.203916, 80.982425, 87.752201, 354.714913]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [1.611184, 1.512405, -0.484736, -1.515733, 0.001563, 1.237019, 0.237304, -1.864718]
std: [1.485489, 1.913559, 1.457588, 1.234149, 1.429496, 1.736269, 1.352850, 1.274485]
pca: [[-0.274631, 0.613287, 0.130189, 0.019768, 0.290812, -0.278842, 0.600425, 0.091006, 0.000000, 0.000000], [0.577980, -0.062223, 0.316484, 0.106206, -0.082294, -0.470641, -0.008954, 0.567688, 0.000000, 0.000000], [-0.193074, -0.340441, -0.056433, 0.894866, 0.074290, -0.029767, 0.190511, 0.012400, 0.000000, 0.000000], [-0.330991, -0.120402, -0.373449, -0.151344, 0.168217, 0.247505, -0.028640, 0.789432, 0.000000, 0.000000], [-0.295048, 0.072416, 0.700548, 0.083849, 0.377310, 0.164297, -0.482968, 0.085382, 0.000000, 0.000000], [0.443192, 0.340903, -0.416934, 0.218082, 0.600084, 0.073043, -0.306942, -0.079518, 0.000000, 0.000000], [0.400234, -0.084716, 0.274553, -0.017086, 0.114464, 0.715042, 0.479631, 0.050321, 0.000000, 0.000000], [-0.004985, -0.600812, 0.016086, -0.331297, 0.599395, -0.308198, 0.211607, -0.173048, 0.000000, 0.000000]]
fourier: [[24.112846, 24.153595, 26.111889, 26.892952, 145.006580], [31.042055, 31.163698, 32.159403, 33.526747, 136.116428], [27.031212, 27.034841, 28.459498, 29.807858, 43.626262], [19.741276, 20.303325, 20.427688, 20.975132, 136.415984], [18.718436, 21.689370, 22.273903, 27.569079, 28.598020], [28.766993, 29.286075, 34.695461, 36.403837, 111.331679], [21.357329, 21.559226, 21.779097, 22.937459, 24.354203], [18.576224, 19.158651, 20.281740, 23.692465, 167.824570]]
### 2
mean: [1.504020, 0.022451, 0.677333, 1.475451, 1.105288, -0.164428, -1.271140, 0.866007]
std: [1.735442, 1.020999, 1.168955, 1.545122, 1.444413, 0.879139, 0.708074, 1.313963]
pca: [[0.482833, 0.489644, -0.482378, 0.370994, 0.187168, -0.087436, 0.118022, -0.316527, 0.000000, 0.000000], [-0.301733, -0.147007, 0.057405, 0.721892, 0.016039, 0.086331, 0.537700, 0.257080, 0.000000, 0.000000], [-0.332667, 0.294832, 0.105188, -0.385845, 0.649142, 0.102936, 0.434810, -0.146374, 0.000000, 0.000000], [0.447396, 0.319851, 0.580824, 0.090136, 0.237236, -0.088803, -0.090213, 0.528910, 0.000000, 0.000000], [-0.404021, 0.395476, -0.456611, 0.013680, 0.044618, 0.170292, -0.377850, 0.545824, 0.000000, 0.000000], [0.244416, -0.258024, -0.009385, 0.090238, 0.263098, 0.873262, -0.174379, -0.056915, 0.000000, 0.000000], [-0.148765, -0.353224, -0.004786, 0.298001, 0.613095, -0.381621, -0.476217, -0.126380, 0.000000, 0.000000], [-0.346260, 0.449068, 0.454962, 0.295126, -0.199871, 0.170881, -0.315896, -0.464126, 0.000000, 0.000000]]
fourier: [[27.169285, 30.490468, 32.821240, 34.861868, 135.361771], [16.398457, 16.593764, 17.887931, 18.969381, 19.884897], [20.063538, 20.489439, 20.609394, 24.530195, 60.959967], [24.820633, 25.741555, 26.672851, 28.625341, 132.790552], [24.071996, 24.902908, 25.738978, 29.089753, 99.475907], [14.798531, 15.413857, 15.502384, 15.846273, 18.154977], [12.606669, 12.928991, 13.278732, 13.907315, 114.402646], [21.748073, 24.001092, 25.624849, 28.857196, 77.940639]]
### 4
mean: [1.080933, -1.471419, 0.833999, 1.529043, 0.222540, -0.291684, -0.054031, 0.356748]
std: [0.987683, 1.688227, 1.708796, 1.705934, 1.470150, 0.367840, 0.721843, 1.636514]
pca: [[0.177385, 0.620072, 0.202185, -0.544497, -0.182468, 0.308921, -0.334210, -0.079154, 0.000000, 0.000000], [0.421279, -0.533188, 0.629285, -0.162189, 0.015885, 0.288661, 0.102415, 0.147861, 0.000000, 0.000000], [0.460648, 0.082551, -0.363779, -0.460203, 0.156833, -0.256873, 0.577450, 0.113303, 0.000000, 0.000000], [0.431709, 0.501041, 0.357629, 0.582369, 0.106244, -0.250341, 0.115347, 0.090931, 0.000000, 0.000000], [-0.392872, 0.183453, 0.312156, -0.033418, 0.195143, 0.240711, 0.608756, -0.496821, 0.000000, 0.000000], [-0.091892, 0.090006, -0.065220, -0.025051, 0.874102, 0.277076, -0.178599, 0.325347, 0.000000, 0.000000], [0.191090, 0.067590, -0.391304, 0.337292, -0.250859, 0.744225, 0.230096, 0.149285, 0.000000, 0.000000], [-0.439523, 0.164435, 0.219257, -0.103762, -0.255936, -0.063281, 0.275018, 0.758813, 0.000000, 0.000000]]
fourier: [[14.941716, 16.202080, 16.394066, 17.844657, 97.283939], [27.032196, 28.647628, 29.539215, 32.025213, 132.427715], [28.334586, 29.735993, 31.117418, 33.797649, 75.059891], [28.877549, 31.127964, 31.150372, 32.238737, 137.613851], [23.755644, 24.418566, 26.375637, 27.095115, 28.299067], [5.665433, 5.770632, 6.216470, 6.650872, 26.251602], [11.234546, 12.398213, 12.772751, 13.551400, 15.153735], [27.878863, 29.257397, 29.443968, 31.670694, 32.107322]]
### 6
mean: [0.041555, 1.291753, 0.151083, 0.788395, 1.395406, -0.086233, -0.331015, 1.139644]
std: [0.919558, 1.713158, 1.678138, 0.954319, 2.194816, 1.201107, 1.953894, 2.557090]
pca: [[-0.183881, 0.258336, -0.027666, -0.546383, 0.604313, -0.132737, -0.383848, 0.264572, 0.000000, 0.000000], [0.339094, 0.543854, -0.097600, 0.059634, 0.033108, 0.672131, -0.234635, -0.261239, 0.000000, 0.000000], [-0.336781, 0.451270, 0.136780, 0.601269, 0.342113, -0.328484, 0.064536, -0.271281, 0.000000, 0.000000], [0.175107, 0.466377, -0.275354, -0.117809, -0.021415, -0.091932, 0.697289, 0.408668, 0.000000, 0.000000], [0.451396, 0.302092, 0.605093, -0.214612, -0.287311, -0.431316, -0.121344, -0.097371, 0.000000, 0.000000], [-0.242048, 0.291291, -0.502012, 0.021128, -0.575938, -0.277898, -0.433356, 0.085849, 0.000000, 0.000000], [-0.404421, 0.142588, 0.511668, 0.153392, -0.237941, 0.363935, -0.065603, 0.580871, 0.000000, 0.000000], [0.530299, -0.141038, -0.123382, 0.502467, 0.212937, -0.136225, -0.316867, 0.516615, 0.000000, 0.000000]]
fourier: [[15.775925, 16.347881, 16.862446, 16.945041, 17.309080], [28.856403, 30.730880, 31.920751, 33.709422, 116.257752], [28.394509, 30.289968, 30.812318, 30.863516, 31.711300], [15.899884, 16.325549, 16.620426, 19.982809, 70.955525], [36.450037, 38.540661, 41.209763, 42.233147, 125.586530], [20.756853, 20.770472, 21.653060, 22.692173, 22.965070], [31.947146, 32.031628, 34.346792, 35.263366, 38.098752], [42.370422, 44.305615, 47.276680, 49.834684, 102.567939]]
### 8
mean: [-0.390864, 1.712852, 1.769032, -1.180854, 1.545932, -1.567824, 2.260469, 1.704362]
std: [2.301962, 2.391800, 2.292709, 2.186953, 2.094932, 1.545431, 3.979944, 2.656994]
pca: [[-0.321281, -0.461303, 0.686481, 0.044483, 0.280240, 0.225334, -0.127523, -0.255288, 0.000000, 0.000000], [0.334195, -0.461064, -0.426002, -0.124395, 0.231234, 0.582135, 0.267998, -0.120868, 0.000000, 0.000000], [0.323593, 0.010968, 0.164856, -0.556368, 0.371702, -0.030955, -0.407265, 0.503446, 0.000000, 0.000000], [-0.308206, 0.163308, -0.197647, 0.158586, 0.800794, -0.251723, 0.319459, 0.086231, 0.000000, 0.000000], [0.294600, -0.245326, 0.134024, 0.718289, -0.002355, 0.008234, -0.004093, 0.564831, 0.000000, 0.000000], [-0.209571, 0.588366, 0.136753, 0.077204, 0.011222, 0.730805, 0.030618, 0.223841, 0.000000, 0.000000], [0.560617, 0.348910, 0.100796, 0.293110, 0.291887, 0.003261, -0.304376, -0.538557, 0.000000, 0.000000], [0.374685, 0.140473, 0.483944, -0.200096, -0.056858, -0.108934, 0.741887, 0.011944, 0.000000, 0.000000]]
fourier: [[37.443826, 38.911822, 39.798295, 43.689091, 43.983270], [40.265426, 43.691436, 44.742853, 46.233732, 154.156699], [37.963292, 41.996052, 42.278696, 44.156737, 159.212894], [36.660488, 40.089567, 41.311620, 41.623489, 106.276881], [35.309871, 38.422437, 39.587680, 39.998957, 139.133875], [26.043963, 27.475653, 27.558691, 31.384022, 141.104170], [66.437185, 70.021357, 74.105867, 76.675532, 203.442256], [43.886981, 47.894805, 48.970071, 51.352240, 153.392582]]
### 10
mean: [-3.941277]
std: [4.353489]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.335790, 77.203916, 80.982425, 87.752201, 354.714913]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.599014, 0.034669, 0.526814, 0.239815, 0.170515], [0.752413, 0.447156, -0.130496, -0.223505, 0.06388], [-0.316608, 0.362464, -0.517567, 0.069842, -0.188729], [-0.371011, -0.378956, -0.083894, 0.062218, 0.007267], [-0.60884, 0.31237, 0.420135, -0.142832, -0.33015], [0.446745, 0.257689, -0.231623, 0.027456, 0.690538], [0.505343, 0.317357, -0.064778, -0.246032, 0.038806], [0.079341, -0.08966, -0.275958, -0.472894, -0.150065]], "network.0.bias": [0.468424, 0.434352, 0.41291, -0.330629, 0.025891, -0.215206, -0.354806, -0.024452], "network.2.weight": [[0.169835, 0.401905, -0.234852, 0.064311, -0.21978, 0.422969, 0.379044, -0.089258], [0.154974, -0.24468, 0.396597, -0.225621, -0.165246, -0.181301, -0.19543, 0.008308], [0.376897, -0.195548, 0.133664, -0.432102, 0.377053, 0.086476, -0.302776, 0.359427], [-0.087339, 0.462229, 0.115434, 0.167612, 0.183126, 0.296729, 0.26096, -0.414442], [0.535749, -0.407611, 0.09381, -0.550316, 0.199678, 0.201078, -0.210309, 0.164338], [-0.229218, 0.348666, -0.160424, -0.26318, -0.325607, -0.178202, 0.030069, -0.366916], [-0.031786, -0.112314, 0.125384, 0.236727, -0.311657, -0.35282, -0.022919, 0.079935], [0.42484, -0.290878, 0.552734, -0.2056, 0.49441, 0.270431, -0.264571, -0.38514]], "network.2.bias": [0.040572, 0.437282, 0.158282, 0.299478, 0.512464, 0.056597, -0.435304, -0.010704], "network.4.weight": [[0.376408, -0.140832, 0.328408, -0.33937, 0.344847, 0.29832, -0.161335, 0.45023], [-0.501676, 0.078978, 0.07243, -0.538995, 0.08728, 0.42024, -0.133683, 0.049235], [-0.229624, 0.353074, 0.014934, -0.224851, 0.565457, -0.385139, -0.26203, 0.29686], [-0.196243, 0.239971, 0.677867, -0.067458, 0.579122, 0.26679, 0.077665, 0.315489], [0.258415, -0.646529, -0.136256, 0.299659, -0.129746, 0.312619, -0.492944, -0.179185], [0.131133, -0.38686, 0.132538, 0.014605, -0.247595, -0.113722, -0.004081, 0.082326], [-0.040778, 0.470136, -0.077978, -0.118377, 0.050208, -0.170818, 0.198083, 0.394167], [0.315451, -0.461414, -0.194412, 0.324771, -0.123117, 0.261881, -0.315739, -0.275051]], "network.4.bias": [-0.162776, -0.327957, 0.383085, 0.20917, -0.027307, -0.245825, -0.315532, 0.098537], "network.6.weight": [[-0.020907, 0.413414, -0.111312, -0.049273, 0.401685, 0.489822, -0.065181, 0.139381], [0.253901, -0.016167, 0.603326, 0.425041, -0.231323, 0.186357, 0.022879, -0.009072], [0.167027, -0.379928, 0.002792, -0.383419, 0.599468, 0.141431, -0.019772, 0.446928], [0.066993, 0.063062, 0.384422, 0.339554, 0.223933, 0.273236, 0.080976, -0.151504], [0.452238, -0.217325, 0.254704, 0.540494, -0.120256, -0.038452, -0.055903, -0.560603], [-0.216669, 0.113721, 0.011444, -0.057241, 0.45721, -0.167019, -0.041299, 0.367963], [0.111763, -0.386538, -0.369368, -0.380698, 0.286041, -0.039634, -0.355714, 0.605184], [0.168523, -0.099109, 0.518294, 0.31205, -0.631188, -0.245651, 0.368587, -0.544243]], "network.6.bias": [0.019508, -0.228103, -0.067361, -0.302319, 0.209552, -0.302808, 0.054688, 0.50586], "network.8.weight": [[0.174158, -0.312826, 0.370921, -0.102433, -0.532716, 0.086625, 0.462807, 0.097056], [0.35576, 0.272144, -0.225099, 0.581341, 0.572616, -0.498555, -0.026955, 0.110328], [0.131128, 0.036581, -0.197723, 0.260591, 0.465111, -0.525173, -0.136622, 0.422839], [-0.22671, -0.09823, 0.599558, -0.593681, -0.306254, -0.104759, 0.10731, -0.34001], [-0.226059, 0.682593, -0.138736, 0.207904, 0.049894, 0.003764, -0.193941, 0.251583], [-0.0709, -0.639525, 0.006546, -0.212282, -0.173242, -0.117773, 0.193144, -0.028225], [-0.328791, 0.566458, -0.372965, 0.199781, 0.492353, -0.485264, -0.453961, 0.534512], [-0.343832, 0.082348, 0.076638, 0.343669, 0.316282, -0.439315, -0.41511, 0.60091]], "network.8.bias": [0.307358, -0.094202, 0.289158, 0.218148, 0.140436, -0.203842, 0.236355, 0.136239], "network.10.weight": [[0.269675, -0.15717, -0.354958, 0.215301, -0.228443, 0.358098, -0.544373, -0.554465]], "network.10.bias": [0.148794]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7032679617404938, "train_acc": 0.445, "val_loss": 0.658867359161377, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.608370453119278, "train_acc": 0.575, "val_loss": 0.41461890935897827, "val_acc": 0.8}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.44414712488651276, "train_acc": 0.695, "val_loss": 0.14238639175891876, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.25271034240722656, "train_acc": 0.915, "val_loss": 0.11633090674877167, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6022969484329224, "train_acc": 0.91, "val_loss": 0.11922618001699448, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2439650520682335, "train_acc": 0.915, "val_loss": 0.13940070569515228, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27060163021087646, "train_acc": 0.9, "val_loss": 0.2985128164291382, "val_acc": 0.88}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.658867359161377, "final_val_loss": 0.41461890935897827, "initial_val_acc": 0.54, "final_val_acc": 0.8, "best_val_acc": 0.8}, "improved_stage": {"initial_val_loss": 0.14238639175891876, "final_val_loss": 0.2985128164291382, "initial_val_acc": 0.98, "final_val_acc": 0.88, "best_val_acc": 0.98, "best_epoch": 2}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
69
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.82, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2617, "learning_rate": 0.03671955834795707, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.4.weight": [
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"network.8.weight": [
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"network.10.weight": [
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
0.18872
]
}
## Activation Signature
### 0
mean: [-1.802281, -1.488501, 0.343604, 0.578841, 1.852254, 0.667222, -2.506133]
std: [1.486976, 1.736339, 1.220707, 1.523684, 1.886775, 1.026123, 1.996344]
pca: [[0.408340, 0.013383, 0.056298, -0.555864, 0.526014, 0.010228, -0.494095, 0.000000, 0.000000, 0.000000], [0.449495, -0.020513, -0.398464, 0.689002, 0.265293, 0.259758, -0.161806, 0.000000, 0.000000, 0.000000], [-0.254656, 0.122777, -0.488221, -0.350258, -0.051445, 0.740239, 0.091840, 0.000000, 0.000000, 0.000000], [0.091542, 0.573961, 0.572472, 0.163251, -0.247210, 0.408910, -0.281946, 0.000000, 0.000000, 0.000000], [-0.458859, -0.553737, 0.399159, 0.202070, 0.367779, 0.340444, -0.177482, 0.000000, 0.000000, 0.000000], [-0.021824, 0.385508, 0.180972, 0.030783, 0.629104, 0.025717, 0.648672, 0.000000, 0.000000, 0.000000], [0.589030, -0.446826, 0.282655, -0.158681, -0.241113, 0.317325, 0.435300, 0.000000, 0.000000, 0.000000]]
fourier: [[20.752099, 22.035658, 27.492888, 30.815136, 162.205237], [23.417657, 25.202999, 27.804691, 34.005204, 133.965062], [20.516803, 22.411128, 22.430683, 24.241961, 30.924334], [21.896606, 24.267431, 26.593688, 27.591491, 52.095661], [27.337106, 35.216967, 35.263158, 36.086822, 166.702814], [16.237304, 16.584944, 19.070777, 19.308489, 60.049992], [33.640251, 33.893818, 37.026967, 37.819675, 225.551949]]
### 2
mean: [0.570683, -0.719620, -0.898412, 0.711535, -0.310642, 0.579573, 0.768488]
std: [1.160093, 0.329557, 0.633423, 0.998812, 0.759374, 0.921201, 0.953523]
pca: [[0.482546, 0.654851, 0.312487, -0.023233, 0.293253, -0.004782, 0.392571, 0.000000, 0.000000, 0.000000], [0.014519, -0.227859, 0.230146, 0.553201, -0.286056, 0.565775, 0.432368, 0.000000, 0.000000, 0.000000], [-0.060632, -0.456173, 0.681196, -0.438395, 0.339263, 0.129126, 0.015439, 0.000000, 0.000000, 0.000000], [-0.431374, 0.527522, 0.216819, -0.088846, -0.094787, 0.518505, -0.450446, 0.000000, 0.000000, 0.000000], [-0.379658, 0.007164, 0.013419, 0.570206, 0.710839, -0.148911, -0.055027, 0.000000, 0.000000, 0.000000], [0.453120, -0.165671, -0.436272, -0.081735, 0.419660, 0.578158, -0.244623, 0.000000, 0.000000, 0.000000], [-0.477202, 0.073341, -0.384490, -0.401909, 0.163356, 0.194714, 0.626847, 0.000000, 0.000000, 0.000000]]
fourier: [[17.647415, 18.216571, 25.675800, 26.620850, 51.361457], [5.001116, 5.270069, 5.935093, 6.133611, 64.765804], [10.515185, 11.612000, 14.122923, 14.476410, 80.857041], [16.204316, 16.959000, 18.609464, 20.632985, 64.038112], [12.666078, 12.754628, 14.509621, 17.561571, 27.957768], [16.382337, 16.529180, 16.792253, 21.941146, 52.161534], [14.315839, 17.588891, 20.117844, 20.245095, 69.163940]]
### 4
mean: [0.380943, 0.757049, 0.424175, 0.970211, 0.540042, 0.709179, -0.036547]
std: [0.711358, 1.018650, 0.688832, 0.748980, 1.017349, 0.690517, 1.757716]
pca: [[-0.261579, 0.455604, -0.301585, 0.078763, 0.663292, -0.423494, -0.086836, 0.000000, 0.000000, 0.000000], [-0.383265, 0.100209, 0.157470, -0.550938, 0.323599, 0.640119, -0.016365, 0.000000, 0.000000, 0.000000], [-0.255804, -0.121959, 0.511139, 0.722534, 0.282343, 0.221554, 0.086991, 0.000000, 0.000000, 0.000000], [-0.276168, 0.408437, 0.452436, -0.060592, -0.389129, -0.211206, -0.593726, 0.000000, 0.000000, 0.000000], [-0.382639, -0.034314, 0.326192, -0.263230, -0.140959, -0.441903, 0.679391, 0.000000, 0.000000, 0.000000], [-0.250422, 0.544702, -0.387374, 0.299860, -0.424660, 0.341089, 0.322390, 0.000000, 0.000000, 0.000000], [0.658677, 0.550282, 0.402278, -0.073009, 0.154865, 0.074743, 0.258082, 0.000000, 0.000000, 0.000000]]
fourier: [[12.305071, 13.551686, 15.743428, 16.451186, 34.284837], [17.934951, 19.732314, 20.206108, 24.278734, 68.134371], [12.124611, 12.738149, 12.830633, 17.041817, 38.175746], [12.920346, 13.561472, 15.576801, 18.470519, 87.318954], [18.193122, 19.320777, 19.400121, 24.680499, 48.603793], [11.978457, 12.366945, 15.414215, 16.510381, 63.826123], [25.289447, 30.724365, 31.885566, 35.265787, 41.708290]]
### 6
mean: [0.730783, -0.190262, -0.405508, 1.140342, 0.004503, -0.422419, -0.342723]
std: [1.296048, 0.690379, 1.301395, 2.288657, 0.103021, 1.701461, 0.875666]
pca: [[0.361423, 0.688264, -0.084849, 0.578164, 0.113441, -0.140638, -0.146783, 0.000000, 0.000000, 0.000000], [-0.193607, -0.102201, 0.068976, 0.140947, 0.768811, 0.487757, -0.313799, 0.000000, 0.000000, 0.000000], [-0.364296, -0.299213, 0.503319, 0.503088, 0.002331, -0.506296, -0.122440, 0.000000, 0.000000, 0.000000], [0.641708, -0.174662, 0.649676, 0.025163, 0.029049, 0.247110, 0.270341, 0.000000, 0.000000, 0.000000], [0.007937, -0.389243, -0.427171, 0.604669, -0.125212, 0.291931, 0.446572, 0.000000, 0.000000, 0.000000], [-0.476573, 0.466622, 0.263936, -0.040578, 0.120052, 0.126935, 0.673282, 0.000000, 0.000000, 0.000000], [-0.245366, 0.162994, 0.245960, 0.157666, -0.604252, 0.568840, -0.373061, 0.000000, 0.000000, 0.000000]]
fourier: [[22.942137, 25.624247, 25.690074, 30.584476, 65.770499], [12.295918, 13.545161, 13.690216, 16.475437, 17.123566], [23.167117, 25.205639, 25.854929, 30.839252, 36.495706], [41.079769, 43.954662, 47.089476, 54.356434, 102.630801], [1.505997, 1.534611, 1.771345, 2.252403, 2.595000], [30.473556, 33.043083, 33.851435, 38.017715, 40.280494], [15.654244, 17.211950, 17.272398, 20.633868, 30.845105]]
### 8
mean: [1.139927, 1.160773, 0.593989, 1.421720, 1.598721, 1.502252, 0.768074]
std: [1.980582, 2.012581, 0.649681, 1.845399, 1.994395, 2.021566, 1.162873]
pca: [[0.432491, 0.194361, -0.310360, -0.347561, -0.481511, -0.482408, 0.305751, 0.000000, 0.000000, 0.000000], [0.439433, 0.203830, 0.480996, 0.083026, 0.183386, -0.428859, -0.556373, 0.000000, 0.000000, 0.000000], [-0.099591, 0.835473, 0.346141, -0.069469, -0.089656, 0.317541, 0.241985, 0.000000, 0.000000, 0.000000], [0.403548, -0.030761, -0.017094, 0.818998, -0.319712, 0.191879, 0.161615, 0.000000, 0.000000, 0.000000], [0.435522, 0.193186, -0.409347, 0.002257, 0.739129, 0.124597, 0.208788, 0.000000, 0.000000, 0.000000], [0.441786, -0.137285, -0.027269, -0.399229, -0.244235, 0.655185, -0.370042, 0.000000, 0.000000, 0.000000], [0.249451, -0.406876, 0.619600, -0.193222, 0.135279, 0.030334, 0.575992, 0.000000, 0.000000, 0.000000]]
fourier: [[36.569132, 36.748301, 41.669589, 46.593979, 102.593382], [37.178924, 37.368346, 42.283079, 47.107542, 104.469565], [10.075703, 10.077697, 11.765386, 11.877914, 53.459017], [34.075860, 34.953123, 37.957278, 43.662341, 127.954787], [36.874383, 37.104456, 41.933978, 46.881675, 143.884879], [37.150515, 38.632987, 41.426203, 47.716405, 135.202708], [20.479627, 22.375228, 23.200517, 27.025264, 69.126619]]
### 10
mean: [0.155127, 3.158817, -1.600523, 2.547170, 2.525873, 3.097954, -1.960199]
std: [0.205587, 4.101322, 2.559111, 3.317056, 3.449371, 3.814298, 3.014054]
pca: [[0.015396, 0.519162, 0.562272, 0.159305, -0.207631, -0.496523, 0.314737, 0.000000, 0.000000, 0.000000], [0.490720, 0.007763, -0.223779, 0.757792, -0.335197, 0.068875, -0.133064, 0.000000, 0.000000, 0.000000], [-0.305309, 0.637478, -0.295678, 0.315408, 0.528743, 0.181145, -0.033432, 0.000000, 0.000000, 0.000000], [0.396365, 0.556198, -0.109687, -0.506505, -0.288134, 0.183555, -0.385028, 0.000000, 0.000000, 0.000000], [0.412707, 0.053078, -0.392769, -0.194849, 0.116734, 0.011650, 0.787947, 0.000000, 0.000000, 0.000000], [0.456364, -0.057274, 0.596705, 0.053653, 0.481936, 0.444126, -0.002431, 0.000000, 0.000000, 0.000000], [-0.360614, 0.092620, 0.154893, 0.059147, -0.485853, 0.696298, 0.336162, 0.000000, 0.000000, 0.000000]]
fourier: [[3.213761, 3.335163, 3.708124, 3.975091, 13.961461], [73.990120, 77.172388, 86.254621, 96.242923, 284.293508], [47.609646, 47.932416, 52.851544, 60.429456, 144.047050], [58.283967, 62.376884, 70.546496, 77.248256, 229.245250], [62.063300, 64.924105, 72.649983, 80.979069, 227.328579], [68.817409, 71.761924, 80.115345, 89.486381, 278.815859], [54.555442, 56.722084, 63.260263, 70.879133, 176.417908]]
### 12
mean: [-5.342612]
std: [7.076079]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.463155, 133.281719, 149.142495, 166.252766, 480.835101]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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[
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[
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[
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[
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[
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],
"network.0.bias": [
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-0.374744,
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-0.364243
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"network.2.weight": [
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[
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[
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[
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[
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],
[
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0.17547
]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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0.026668,
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0.538597,
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[
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0.388379,
0.078426
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[
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
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[
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[
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],
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],
[
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]
],
"network.10.bias": [
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.802281, -1.488501, 0.343604, 0.578841, 1.852254, 0.667222, -2.506133]
std: [1.486976, 1.736339, 1.220707, 1.523684, 1.886775, 1.026123, 1.996344]
pca: [[0.408340, 0.013383, 0.056298, -0.555864, 0.526014, 0.010228, -0.494095, 0.000000, 0.000000, 0.000000], [0.449495, -0.020513, -0.398464, 0.689002, 0.265293, 0.259758, -0.161806, 0.000000, 0.000000, 0.000000], [-0.254656, 0.122777, -0.488221, -0.350258, -0.051445, 0.740239, 0.091840, 0.000000, 0.000000, 0.000000], [0.091542, 0.573961, 0.572472, 0.163251, -0.247210, 0.408910, -0.281946, 0.000000, 0.000000, 0.000000], [-0.458859, -0.553737, 0.399159, 0.202070, 0.367779, 0.340444, -0.177482, 0.000000, 0.000000, 0.000000], [-0.021824, 0.385508, 0.180972, 0.030783, 0.629104, 0.025717, 0.648672, 0.000000, 0.000000, 0.000000], [0.589030, -0.446826, 0.282655, -0.158681, -0.241113, 0.317325, 0.435300, 0.000000, 0.000000, 0.000000]]
fourier: [[20.752099, 22.035658, 27.492888, 30.815136, 162.205237], [23.417657, 25.202999, 27.804691, 34.005204, 133.965062], [20.516803, 22.411128, 22.430683, 24.241961, 30.924334], [21.896606, 24.267431, 26.593688, 27.591491, 52.095661], [27.337106, 35.216967, 35.263158, 36.086822, 166.702814], [16.237304, 16.584944, 19.070777, 19.308489, 60.049992], [33.640251, 33.893818, 37.026967, 37.819675, 225.551949]]
### 2
mean: [0.570683, -0.719620, -0.898412, 0.711535, -0.310642, 0.579573, 0.768488]
std: [1.160093, 0.329557, 0.633423, 0.998812, 0.759374, 0.921201, 0.953523]
pca: [[0.482546, 0.654851, 0.312487, -0.023233, 0.293253, -0.004782, 0.392571, 0.000000, 0.000000, 0.000000], [0.014519, -0.227859, 0.230146, 0.553201, -0.286056, 0.565775, 0.432368, 0.000000, 0.000000, 0.000000], [-0.060632, -0.456173, 0.681196, -0.438395, 0.339263, 0.129126, 0.015439, 0.000000, 0.000000, 0.000000], [-0.431374, 0.527522, 0.216819, -0.088846, -0.094787, 0.518505, -0.450446, 0.000000, 0.000000, 0.000000], [-0.379658, 0.007164, 0.013419, 0.570206, 0.710839, -0.148911, -0.055027, 0.000000, 0.000000, 0.000000], [0.453120, -0.165671, -0.436272, -0.081735, 0.419660, 0.578158, -0.244623, 0.000000, 0.000000, 0.000000], [-0.477202, 0.073341, -0.384490, -0.401909, 0.163356, 0.194714, 0.626847, 0.000000, 0.000000, 0.000000]]
fourier: [[17.647415, 18.216571, 25.675800, 26.620850, 51.361457], [5.001116, 5.270069, 5.935093, 6.133611, 64.765804], [10.515185, 11.612000, 14.122923, 14.476410, 80.857041], [16.204316, 16.959000, 18.609464, 20.632985, 64.038112], [12.666078, 12.754628, 14.509621, 17.561571, 27.957768], [16.382337, 16.529180, 16.792253, 21.941146, 52.161534], [14.315839, 17.588891, 20.117844, 20.245095, 69.163940]]
### 4
mean: [0.380943, 0.757049, 0.424175, 0.970211, 0.540042, 0.709179, -0.036547]
std: [0.711358, 1.018650, 0.688832, 0.748980, 1.017349, 0.690517, 1.757716]
pca: [[-0.261579, 0.455604, -0.301585, 0.078763, 0.663292, -0.423494, -0.086836, 0.000000, 0.000000, 0.000000], [-0.383265, 0.100209, 0.157470, -0.550938, 0.323599, 0.640119, -0.016365, 0.000000, 0.000000, 0.000000], [-0.255804, -0.121959, 0.511139, 0.722534, 0.282343, 0.221554, 0.086991, 0.000000, 0.000000, 0.000000], [-0.276168, 0.408437, 0.452436, -0.060592, -0.389129, -0.211206, -0.593726, 0.000000, 0.000000, 0.000000], [-0.382639, -0.034314, 0.326192, -0.263230, -0.140959, -0.441903, 0.679391, 0.000000, 0.000000, 0.000000], [-0.250422, 0.544702, -0.387374, 0.299860, -0.424660, 0.341089, 0.322390, 0.000000, 0.000000, 0.000000], [0.658677, 0.550282, 0.402278, -0.073009, 0.154865, 0.074743, 0.258082, 0.000000, 0.000000, 0.000000]]
fourier: [[12.305071, 13.551686, 15.743428, 16.451186, 34.284837], [17.934951, 19.732314, 20.206108, 24.278734, 68.134371], [12.124611, 12.738149, 12.830633, 17.041817, 38.175746], [12.920346, 13.561472, 15.576801, 18.470519, 87.318954], [18.193122, 19.320777, 19.400121, 24.680499, 48.603793], [11.978457, 12.366945, 15.414215, 16.510381, 63.826123], [25.289447, 30.724365, 31.885566, 35.265787, 41.708290]]
### 6
mean: [0.730783, -0.190262, -0.405508, 1.140342, 0.004503, -0.422419, -0.342723]
std: [1.296048, 0.690379, 1.301395, 2.288657, 0.103021, 1.701461, 0.875666]
pca: [[0.361423, 0.688264, -0.084849, 0.578164, 0.113441, -0.140638, -0.146783, 0.000000, 0.000000, 0.000000], [-0.193607, -0.102201, 0.068976, 0.140947, 0.768811, 0.487757, -0.313799, 0.000000, 0.000000, 0.000000], [-0.364296, -0.299213, 0.503319, 0.503088, 0.002331, -0.506296, -0.122440, 0.000000, 0.000000, 0.000000], [0.641708, -0.174662, 0.649676, 0.025163, 0.029049, 0.247110, 0.270341, 0.000000, 0.000000, 0.000000], [0.007937, -0.389243, -0.427171, 0.604669, -0.125212, 0.291931, 0.446572, 0.000000, 0.000000, 0.000000], [-0.476573, 0.466622, 0.263936, -0.040578, 0.120052, 0.126935, 0.673282, 0.000000, 0.000000, 0.000000], [-0.245366, 0.162994, 0.245960, 0.157666, -0.604252, 0.568840, -0.373061, 0.000000, 0.000000, 0.000000]]
fourier: [[22.942137, 25.624247, 25.690074, 30.584476, 65.770499], [12.295918, 13.545161, 13.690216, 16.475437, 17.123566], [23.167117, 25.205639, 25.854929, 30.839252, 36.495706], [41.079769, 43.954662, 47.089476, 54.356434, 102.630801], [1.505997, 1.534611, 1.771345, 2.252403, 2.595000], [30.473556, 33.043083, 33.851435, 38.017715, 40.280494], [15.654244, 17.211950, 17.272398, 20.633868, 30.845105]]
### 8
mean: [1.139927, 1.160773, 0.593989, 1.421720, 1.598721, 1.502252, 0.768074]
std: [1.980582, 2.012581, 0.649681, 1.845399, 1.994395, 2.021566, 1.162873]
pca: [[0.432491, 0.194361, -0.310360, -0.347561, -0.481511, -0.482408, 0.305751, 0.000000, 0.000000, 0.000000], [0.439433, 0.203830, 0.480996, 0.083026, 0.183386, -0.428859, -0.556373, 0.000000, 0.000000, 0.000000], [-0.099591, 0.835473, 0.346141, -0.069469, -0.089656, 0.317541, 0.241985, 0.000000, 0.000000, 0.000000], [0.403548, -0.030761, -0.017094, 0.818998, -0.319712, 0.191879, 0.161615, 0.000000, 0.000000, 0.000000], [0.435522, 0.193186, -0.409347, 0.002257, 0.739129, 0.124597, 0.208788, 0.000000, 0.000000, 0.000000], [0.441786, -0.137285, -0.027269, -0.399229, -0.244235, 0.655185, -0.370042, 0.000000, 0.000000, 0.000000], [0.249451, -0.406876, 0.619600, -0.193222, 0.135279, 0.030334, 0.575992, 0.000000, 0.000000, 0.000000]]
fourier: [[36.569132, 36.748301, 41.669589, 46.593979, 102.593382], [37.178924, 37.368346, 42.283079, 47.107542, 104.469565], [10.075703, 10.077697, 11.765386, 11.877914, 53.459017], [34.075860, 34.953123, 37.957278, 43.662341, 127.954787], [36.874383, 37.104456, 41.933978, 46.881675, 143.884879], [37.150515, 38.632987, 41.426203, 47.716405, 135.202708], [20.479627, 22.375228, 23.200517, 27.025264, 69.126619]]
### 10
mean: [0.155127, 3.158817, -1.600523, 2.547170, 2.525873, 3.097954, -1.960199]
std: [0.205587, 4.101322, 2.559111, 3.317056, 3.449371, 3.814298, 3.014054]
pca: [[0.015396, 0.519162, 0.562272, 0.159305, -0.207631, -0.496523, 0.314737, 0.000000, 0.000000, 0.000000], [0.490720, 0.007763, -0.223779, 0.757792, -0.335197, 0.068875, -0.133064, 0.000000, 0.000000, 0.000000], [-0.305309, 0.637478, -0.295678, 0.315408, 0.528743, 0.181145, -0.033432, 0.000000, 0.000000, 0.000000], [0.396365, 0.556198, -0.109687, -0.506505, -0.288134, 0.183555, -0.385028, 0.000000, 0.000000, 0.000000], [0.412707, 0.053078, -0.392769, -0.194849, 0.116734, 0.011650, 0.787947, 0.000000, 0.000000, 0.000000], [0.456364, -0.057274, 0.596705, 0.053653, 0.481936, 0.444126, -0.002431, 0.000000, 0.000000, 0.000000], [-0.360614, 0.092620, 0.154893, 0.059147, -0.485853, 0.696298, 0.336162, 0.000000, 0.000000, 0.000000]]
fourier: [[3.213761, 3.335163, 3.708124, 3.975091, 13.961461], [73.990120, 77.172388, 86.254621, 96.242923, 284.293508], [47.609646, 47.932416, 52.851544, 60.429456, 144.047050], [58.283967, 62.376884, 70.546496, 77.248256, 229.245250], [62.063300, 64.924105, 72.649983, 80.979069, 227.328579], [68.817409, 71.761924, 80.115345, 89.486381, 278.815859], [54.555442, 56.722084, 63.260263, 70.879133, 176.417908]]
### 12
mean: [-5.342612]
std: [7.076079]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[125.463155, 133.281719, 149.142495, 166.252766, 480.835101]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.036708, -0.557407, -0.286187, 0.056314, -0.353066], [-0.576951, -0.015469, 0.222109, -0.640033, -0.074386], [0.573174, 0.089033, -0.125414, -0.167564, -0.013606], [-0.299162, 0.256979, 0.180869, 0.359204, -0.588542], [0.165481, -0.25545, 0.314478, 0.475171, 0.657297], [0.108067, -0.256035, 0.340664, 0.246561, -0.4939], [-0.664393, -0.213398, -0.4781, -0.079656, 0.197257]], "network.0.bias": [0.171619, 0.257968, 0.106171, 0.060618, -0.374744, 0.368088, -0.364243], "network.2.weight": [[0.272651, 0.039714, 0.256594, -0.178617, 0.513522, -0.372271, -0.079299], [0.519423, 0.0642, -0.09445, -0.178809, -0.120689, -0.110336, 0.197534], [-0.086124, -0.557857, 0.018348, 0.159687, -0.251409, -0.478262, -0.158898], [0.447715, 0.035145, -0.598758, 0.516036, 0.146376, 0.065384, 0.354285], [0.251224, -0.291575, -0.569606, 0.046475, -0.128195, 0.355062, 0.215478], [-0.012697, -0.042605, 0.599298, -0.454273, 0.054051, 0.114392, -0.486388], [-0.177077, -0.086933, -0.347678, 0.424944, -0.120092, 0.444285, 0.17547]], "network.2.bias": [-0.093615, -0.196019, -0.204788, 0.311799, -0.027154, 0.444316, 0.513346], "network.4.weight": [[0.34867, 0.095916, 0.007207, 0.174582, -0.088319, 0.194318, -0.451332], [0.504503, -0.291788, -0.28257, -0.187391, -0.022684, 0.438746, -0.188315], [0.215065, -0.335034, -0.001605, 0.026668, -0.453693, 0.538597, -0.081175], [0.446597, -0.322438, -0.283329, -0.008864, -0.745619, 0.388379, 0.078426], [0.477276, -0.09136, -0.108584, -0.229638, -0.347318, 0.525462, -0.045658], [0.372583, -0.367381, -0.130034, 0.147302, -0.625375, 0.139212, -0.304146], [-0.623365, -0.30684, -0.044725, 0.435901, 0.212559, -0.759631, 0.509737]], "network.4.bias": [0.286051, 0.40156, -0.015497, 0.362916, 0.131825, 0.475333, 0.020805], "network.6.weight": [[0.243692, 0.237343, 0.34973, 0.013423, 0.06583, 0.464984, -0.508247], [-0.217044, -0.256713, -0.036528, -0.231089, -0.039404, 0.102093, 0.226408], [0.017209, -0.410106, -0.236754, 0.212019, -0.454089, -0.369229, 0.459146], [0.47507, 0.324426, 0.018324, 0.330162, 0.829768, 0.547498, -0.54518], [0.243791, -0.065862, 0.258804, -0.196206, 0.202437, -0.328636, 0.020235], [-0.417519, -0.498663, -0.278725, 0.06103, -0.682786, -0.015125, 0.400185], [-0.074402, -0.44159, -0.18612, 0.238541, -0.28694, -0.149723, 0.215578]], "network.6.bias": [0.286687, 0.118887, 0.02704, -0.072728, 0.098794, 0.336596, 0.016765], "network.8.weight": [[0.516962, -0.368246, -0.054685, 0.629971, -0.322509, -0.36447, 0.094821], [0.741867, 0.19703, -0.27285, 0.535583, 0.150802, -0.266801, -0.147728], [-0.044737, 0.334035, 0.371494, 0.023978, 0.096759, 0.545817, 0.180737], [0.350519, -0.190766, -0.24071, 0.602462, 0.119414, -0.319479, -0.362346], [0.657747, -0.168089, -0.233384, 0.569962, -0.175824, -0.010482, -0.512928], [0.605862, -0.084077, -0.20854, 0.527789, -0.17146, -0.597817, -0.148441], [0.493276, 0.443054, -0.415365, 0.149882, 0.179347, -0.537773, -0.234383]], "network.8.bias": [-0.049553, -0.094318, 0.273828, 0.459278, 0.315827, 0.503105, 0.407284], "network.10.weight": [[0.026922, -0.0453, 0.353803, 0.035301, 0.075648, -0.127072, 0.343401], [0.221004, 0.36554, -0.31798, 0.572069, 0.525267, 0.163606, 0.609788], [0.247198, -0.136116, 0.408073, -0.211318, -0.530257, -0.380718, -0.490218], [0.650661, 0.194452, -0.034599, -0.014131, 0.16489, 0.61813, 0.340385], [0.605622, 0.120644, -0.318299, 0.305651, 0.191569, 0.451638, 0.278411], [-0.05604, 0.264146, -0.185694, 0.615991, 0.35307, 0.567376, 0.558006], [-0.24102, -0.144028, 0.293359, -0.349454, -0.333006, -0.392961, -0.220965]], "network.10.bias": [-0.262351, 0.059458, 0.257989, -0.079082, 0.004544, 0.032927, 0.280677], "network.12.weight": [[0.120676, -0.638293, 0.410898, -0.211021, -0.507833, -0.540474, 0.453004]], "network.12.bias": [0.18872]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7008177042007446, "train_acc": 0.425, "val_loss": 0.6946905255317688, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6875532865524292, "train_acc": 0.565, "val_loss": 0.6974939703941345, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6772818267345428, "train_acc": 0.565, "val_loss": 0.6805040240287781, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.633245974779129, "train_acc": 0.565, "val_loss": 0.617193341255188, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5588030219078064, "train_acc": 0.54, "val_loss": 0.5616596937179565, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.46873457729816437, "train_acc": 0.8, "val_loss": 0.6094421148300171, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.45196734368801117, "train_acc": 0.765, "val_loss": 0.5812366604804993, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4032394587993622, "train_acc": 0.83, "val_loss": 0.5364631414413452, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.43873414397239685, "train_acc": 0.835, "val_loss": 0.4681895077228546, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.35139094293117523, "train_acc": 0.85, "val_loss": 0.43990352749824524, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3231773376464844, "train_acc": 0.865, "val_loss": 0.4665595591068268, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3450433015823364, "train_acc": 0.87, "val_loss": 0.47705551981925964, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.33145424723625183, "train_acc": 0.855, "val_loss": 0.4837484061717987, "val_acc": 0.78}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6946905255317688, "final_val_loss": 0.617193341255188, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5616596937179565, "final_val_loss": 0.4837484061717987, "initial_val_acc": 0.78, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 8}, "improvement": 0.31999999999999995, "first_improvement_epoch": 3}}
|
70
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.84, "improved_accuracy": 1.0, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7357, "learning_rate": 0.03138819499583542, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.082247, -1.959505, 2.384077, -0.237751, 1.075819, 1.664319]
std: [1.778332, 1.320372, 2.600061, 2.355225, 2.041845, 2.460635]
pca: [[-0.127825, -0.424278, -0.474096, -0.164903, 0.697583, 0.255082, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161339, -0.209469, -0.391355, 0.712305, -0.382808, 0.350733, 0.000000, 0.000000, 0.000000, 0.000000], [0.652531, -0.206221, 0.481800, 0.299998, 0.253008, 0.381487, 0.000000, 0.000000, 0.000000, 0.000000], [-0.547979, -0.260950, 0.491758, -0.287085, -0.184016, 0.522990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479528, 0.265591, 0.336046, 0.532449, 0.506665, -0.215350, 0.000000, 0.000000, 0.000000, 0.000000], [0.040061, 0.771330, -0.187591, -0.097522, 0.110684, 0.588637, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.921078, 29.045268, 29.984188, 35.202399, 277.402181], [19.070240, 19.659163, 21.374177, 29.703598, 176.355483], [39.684438, 40.598458, 43.823787, 48.548218, 214.566970], [39.734850, 39.884722, 41.825796, 45.039344, 47.239136], [33.053716, 33.278951, 34.265828, 34.368551, 96.823703], [42.413087, 42.756511, 52.365759, 54.582893, 149.788666]]
### 2
mean: [-1.016193, -1.411478, -1.174604, 2.733559, 2.783769, -0.811515]
std: [0.879475, 0.630329, 1.078066, 2.873632, 2.780723, 2.843681]
pca: [[-0.144554, 0.392378, -0.489669, -0.105259, 0.736146, 0.179940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053863, 0.426949, 0.573211, 0.393181, 0.059341, 0.572827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177431, 0.546167, -0.373465, -0.251153, -0.656826, 0.190384, 0.000000, 0.000000, 0.000000, 0.000000], [0.572239, 0.028877, -0.453768, 0.671116, -0.118177, 0.037954, 0.000000, 0.000000, 0.000000, 0.000000], [0.553988, -0.259368, -0.017766, -0.505115, 0.014273, 0.608411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.557100, -0.545299, -0.293184, 0.256348, -0.094753, 0.481290, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.770914, 15.755631, 18.211196, 19.378722, 91.457385], [9.950660, 10.841272, 11.031763, 14.348516, 127.033028], [18.780645, 20.872998, 22.231925, 23.410054, 105.714404], [40.886165, 46.876893, 55.101541, 68.192316, 246.020333], [41.825542, 44.884356, 54.991598, 66.207682, 250.539168], [42.563890, 46.207854, 48.821802, 66.254861, 73.036379]]
### 4
mean: [-2.421256, -3.430380, -2.595127, -1.003738, -1.308847, -0.313854]
std: [3.691285, 5.180633, 1.943354, 1.516711, 1.834103, 0.225422]
pca: [[0.523206, -0.017737, 0.200613, -0.182265, 0.028873, 0.807243, 0.000000, 0.000000, 0.000000, 0.000000], [0.734226, -0.080382, -0.583922, 0.154553, -0.044155, -0.296057, 0.000000, 0.000000, 0.000000, 0.000000], [0.271229, 0.827044, 0.322429, -0.213211, -0.116841, -0.281712, 0.000000, 0.000000, 0.000000, 0.000000], [0.213003, -0.491165, 0.350351, -0.654004, 0.112599, -0.387609, 0.000000, 0.000000, 0.000000, 0.000000], [0.259390, -0.215576, 0.625820, 0.681134, -0.020558, -0.173858, 0.000000, 0.000000, 0.000000, 0.000000], [0.030811, 0.146650, -0.020795, 0.075948, 0.985121, -0.029666, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.967441, 60.361873, 71.654237, 87.807252, 217.912994], [76.799312, 85.982863, 100.054880, 123.092848, 308.734161], [29.133628, 30.597966, 37.745574, 46.153087, 233.561464], [25.322557, 25.628518, 29.128964, 35.422991, 90.336442], [28.787089, 29.836211, 35.752231, 43.435704, 117.796211], [3.402673, 3.543549, 4.303680, 5.275447, 28.246838]]
### 6
mean: [-0.132352, 0.081528, 0.085065, 0.153539, 0.279905, -0.443487]
std: [0.300662, 0.584279, 0.309458, 0.787550, 0.906402, 0.362031]
pca: [[-0.207292, 0.715307, 0.255790, 0.323222, -0.524521, 0.018524, 0.000000, 0.000000, 0.000000, 0.000000], [0.403180, -0.212137, 0.333190, -0.362237, -0.527778, -0.521212, 0.000000, 0.000000, 0.000000, 0.000000], [0.213393, 0.335140, 0.662507, -0.123097, 0.616865, -0.086907, 0.000000, 0.000000, 0.000000, 0.000000], [0.543463, -0.247537, 0.272035, 0.341439, -0.186454, 0.646548, 0.000000, 0.000000, 0.000000, 0.000000], [0.625465, 0.307385, -0.477847, 0.367590, 0.152886, -0.357035, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249761, -0.418635, 0.286880, 0.705305, 0.087555, -0.418262, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.484462, 4.695752, 5.269678, 5.457206, 11.911663], [7.694844, 8.668349, 9.052691, 9.991703, 10.561664], [4.561432, 4.727784, 5.181696, 5.587563, 7.655862], [11.701531, 12.246279, 13.494277, 13.818476, 14.215296], [13.482046, 14.283070, 15.508879, 16.217001, 25.191491], [5.368073, 5.731471, 6.140955, 6.433638, 39.913864]]
### 8
mean: [-0.473107]
std: [1.343018]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.052238, 21.316674, 23.037148, 23.886523, 42.579617]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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],
"network.2.weight": [
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],
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[
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[
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],
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.082247, -1.959505, 2.384077, -0.237751, 1.075819, 1.664319]
std: [1.778332, 1.320372, 2.600061, 2.355225, 2.041845, 2.460635]
pca: [[-0.127825, -0.424278, -0.474096, -0.164903, 0.697583, 0.255082, 0.000000, 0.000000, 0.000000, 0.000000], [-0.161339, -0.209469, -0.391355, 0.712305, -0.382808, 0.350733, 0.000000, 0.000000, 0.000000, 0.000000], [0.652531, -0.206221, 0.481800, 0.299998, 0.253008, 0.381487, 0.000000, 0.000000, 0.000000, 0.000000], [-0.547979, -0.260950, 0.491758, -0.287085, -0.184016, 0.522990, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479528, 0.265591, 0.336046, 0.532449, 0.506665, -0.215350, 0.000000, 0.000000, 0.000000, 0.000000], [0.040061, 0.771330, -0.187591, -0.097522, 0.110684, 0.588637, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.921078, 29.045268, 29.984188, 35.202399, 277.402181], [19.070240, 19.659163, 21.374177, 29.703598, 176.355483], [39.684438, 40.598458, 43.823787, 48.548218, 214.566970], [39.734850, 39.884722, 41.825796, 45.039344, 47.239136], [33.053716, 33.278951, 34.265828, 34.368551, 96.823703], [42.413087, 42.756511, 52.365759, 54.582893, 149.788666]]
### 2
mean: [-1.016193, -1.411478, -1.174604, 2.733559, 2.783769, -0.811515]
std: [0.879475, 0.630329, 1.078066, 2.873632, 2.780723, 2.843681]
pca: [[-0.144554, 0.392378, -0.489669, -0.105259, 0.736146, 0.179940, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053863, 0.426949, 0.573211, 0.393181, 0.059341, 0.572827, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177431, 0.546167, -0.373465, -0.251153, -0.656826, 0.190384, 0.000000, 0.000000, 0.000000, 0.000000], [0.572239, 0.028877, -0.453768, 0.671116, -0.118177, 0.037954, 0.000000, 0.000000, 0.000000, 0.000000], [0.553988, -0.259368, -0.017766, -0.505115, 0.014273, 0.608411, 0.000000, 0.000000, 0.000000, 0.000000], [-0.557100, -0.545299, -0.293184, 0.256348, -0.094753, 0.481290, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.770914, 15.755631, 18.211196, 19.378722, 91.457385], [9.950660, 10.841272, 11.031763, 14.348516, 127.033028], [18.780645, 20.872998, 22.231925, 23.410054, 105.714404], [40.886165, 46.876893, 55.101541, 68.192316, 246.020333], [41.825542, 44.884356, 54.991598, 66.207682, 250.539168], [42.563890, 46.207854, 48.821802, 66.254861, 73.036379]]
### 4
mean: [-2.421256, -3.430380, -2.595127, -1.003738, -1.308847, -0.313854]
std: [3.691285, 5.180633, 1.943354, 1.516711, 1.834103, 0.225422]
pca: [[0.523206, -0.017737, 0.200613, -0.182265, 0.028873, 0.807243, 0.000000, 0.000000, 0.000000, 0.000000], [0.734226, -0.080382, -0.583922, 0.154553, -0.044155, -0.296057, 0.000000, 0.000000, 0.000000, 0.000000], [0.271229, 0.827044, 0.322429, -0.213211, -0.116841, -0.281712, 0.000000, 0.000000, 0.000000, 0.000000], [0.213003, -0.491165, 0.350351, -0.654004, 0.112599, -0.387609, 0.000000, 0.000000, 0.000000, 0.000000], [0.259390, -0.215576, 0.625820, 0.681134, -0.020558, -0.173858, 0.000000, 0.000000, 0.000000, 0.000000], [0.030811, 0.146650, -0.020795, 0.075948, 0.985121, -0.029666, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.967441, 60.361873, 71.654237, 87.807252, 217.912994], [76.799312, 85.982863, 100.054880, 123.092848, 308.734161], [29.133628, 30.597966, 37.745574, 46.153087, 233.561464], [25.322557, 25.628518, 29.128964, 35.422991, 90.336442], [28.787089, 29.836211, 35.752231, 43.435704, 117.796211], [3.402673, 3.543549, 4.303680, 5.275447, 28.246838]]
### 6
mean: [-0.132352, 0.081528, 0.085065, 0.153539, 0.279905, -0.443487]
std: [0.300662, 0.584279, 0.309458, 0.787550, 0.906402, 0.362031]
pca: [[-0.207292, 0.715307, 0.255790, 0.323222, -0.524521, 0.018524, 0.000000, 0.000000, 0.000000, 0.000000], [0.403180, -0.212137, 0.333190, -0.362237, -0.527778, -0.521212, 0.000000, 0.000000, 0.000000, 0.000000], [0.213393, 0.335140, 0.662507, -0.123097, 0.616865, -0.086907, 0.000000, 0.000000, 0.000000, 0.000000], [0.543463, -0.247537, 0.272035, 0.341439, -0.186454, 0.646548, 0.000000, 0.000000, 0.000000, 0.000000], [0.625465, 0.307385, -0.477847, 0.367590, 0.152886, -0.357035, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249761, -0.418635, 0.286880, 0.705305, 0.087555, -0.418262, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.484462, 4.695752, 5.269678, 5.457206, 11.911663], [7.694844, 8.668349, 9.052691, 9.991703, 10.561664], [4.561432, 4.727784, 5.181696, 5.587563, 7.655862], [11.701531, 12.246279, 13.494277, 13.818476, 14.215296], [13.482046, 14.283070, 15.508879, 16.217001, 25.191491], [5.368073, 5.731471, 6.140955, 6.433638, 39.913864]]
### 8
mean: [-0.473107]
std: [1.343018]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.052238, 21.316674, 23.037148, 23.886523, 42.579617]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.0822465419769287, "std": 1.7783317565917969, "pca": [-0.12782514095306396, -0.4242779314517975, -0.47409600019454956, -0.1649031937122345, 0.6975830793380737, 0.25508183240890503, 0.0, 0.0, 0.0, 0.0], "fourier": [28.921078288482285, 29.045267915068045, 29.98418769491744, 35.20239873284271, 277.40218141674995]}, "1": {"mean": -1.959505319595337, "std": 1.3203717470169067, "pca": [-0.16133864223957062, -0.209468811750412, -0.3913552165031433, 0.7123045921325684, -0.3828080892562866, 0.35073330998420715, 0.0, 0.0, 0.0, 0.0], "fourier": [19.070240031592164, 19.659163065970297, 21.374177391904844, 29.703597592627556, 176.35548327863216]}, "2": {"mean": 2.384077310562134, "std": 2.6000609397888184, "pca": [0.6525314450263977, -0.20622113347053528, 0.48179981112480164, 0.2999979257583618, 0.2530083954334259, 0.3814872205257416, 0.0, 0.0, 0.0, 0.0], "fourier": [39.684437583003216, 40.59845798230914, 43.823786884054606, 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"precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.11614, -0.250507, -0.445288, -0.3068, -0.435114], [-0.006449, -0.32427, -0.507227, 0.030447, -0.134372], [0.372947, 0.555281, 0.520579, 0.324901, -1.009017], [-1.241609, 0.045219, 0.276596, -0.025364, 0.250225], [-0.706309, 0.160568, -0.038252, 0.080848, 0.944124], [0.65721, -0.039537, -0.101934, -0.043641, 1.045632]], "network.0.bias": [-0.356526, -0.200615, 0.368412, 0.392963, 0.404302, -0.064597], "network.2.weight": [[0.23847, -0.024458, -0.004632, 0.089338, 0.023578, -0.38155], [0.194648, -0.159658, -0.234014, -0.391294, -0.019993, -0.172686], [-0.161436, 0.261408, -0.078911, 0.105892, -0.050035, -0.447973], [0.259314, 0.026252, -0.045248, 0.223218, 0.9644, 0.708062], [-0.118303, -0.275636, -0.074828, 0.661782, 0.455225, 0.932859], [0.042316, -0.366666, 0.409628, -0.463763, -0.616736, -0.709705]], "network.2.bias": [-0.410269, -0.167197, -0.163888, 0.055191, 0.156424, 0.613716], "network.4.weight": [[-0.219986, -0.154446, -0.184895, -0.641621, -0.591, 0.527061], [0.001494, -0.331205, 0.242935, -1.131508, -0.578959, 0.812809], [-0.067091, 0.137053, 0.392992, -0.326614, -0.406834, -0.323004], [0.01932, -0.067429, -0.391613, -0.157652, -0.29554, 0.544033], [0.259457, -0.331328, 0.081469, -0.162273, -0.434348, 0.385822], [-0.022813, 0.230785, 0.014292, -0.056019, -0.032162, -0.071457]], "network.4.bias": [0.657943, 0.780838, -0.372501, -0.080962, 0.109422, -0.027609], "network.6.weight": [[-0.239309, -0.149108, -0.398497, -0.205286, -0.321458, 0.168744], [0.364365, 0.634497, 0.027469, 0.254724, 0.109577, -0.284849], [0.106164, 0.523446, -0.082874, 0.094406, -0.211947, 0.1788], [0.591068, 0.775736, 0.38192, 0.345727, 0.166412, 0.28223], [0.946034, 0.676695, -0.194442, 0.214214, 0.480119, 0.067102], [-0.376759, -0.286857, -0.325317, 0.005486, -0.260424, 0.221519]], "network.6.bias": [-0.028655, -0.124691, -0.026373, -0.125481, -0.038704, -0.318165], "network.8.weight": [[-0.042723, 0.802669, 0.052674, 0.394129, 0.641857, 0.152929]], "network.8.bias": [-0.889014]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6865295767784119, "train_acc": 0.555, "val_loss": 0.6825147271156311, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6877035200595856, "train_acc": 0.555, "val_loss": 0.6755610704421997, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6746175289154053, "train_acc": 0.555, "val_loss": 0.6559422016143799, "val_acc": 0.64}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6588089764118195, "train_acc": 0.645, "val_loss": 0.6128275394439697, "val_acc": 0.84}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6211187839508057, "train_acc": 0.805, "val_loss": 0.5586346387863159, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5666650831699371, "train_acc": 0.82, "val_loss": 0.48171576857566833, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5212158858776093, "train_acc": 0.87, "val_loss": 0.4427036643028259, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5162952244281769, "train_acc": 0.88, "val_loss": 0.42080703377723694, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.473568394780159, "train_acc": 0.895, "val_loss": 0.40358200669288635, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.43525630235671997, "train_acc": 0.91, "val_loss": 0.36767077445983887, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3919724076986313, "train_acc": 0.905, "val_loss": 0.3469468057155609, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3404092490673065, "train_acc": 0.945, "val_loss": 0.302147775888443, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2684306204319, "train_acc": 0.97, "val_loss": 0.25384825468063354, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.21600960940122604, "train_acc": 0.99, "val_loss": 0.2101278305053711, "val_acc": 1.0}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6825147271156311, "final_val_loss": 0.6128275394439697, "initial_val_acc": 0.56, "final_val_acc": 0.84, "best_val_acc": 0.84}, "improved_stage": {"initial_val_loss": 0.5586346387863159, "final_val_loss": 0.2101278305053711, "initial_val_acc": 0.8, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 13}, "improvement": 0.16000000000000003, "first_improvement_epoch": 3}}
|
71
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.42, "improved_accuracy": 0.86, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4610, "learning_rate": 0.08295789265197352, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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"network.4.bias": [
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"network.6.weight": [
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],
[
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0.309797,
0.834464,
0.230385,
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],
[
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-0.447235,
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0.123524,
-0.799155
]
],
"network.6.bias": [
-0.864744,
-0.067249,
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-0.137407
],
"network.8.weight": [
[
-0.664091,
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0.22973
],
[
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0.860252,
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],
[
-1.082108,
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-0.8081,
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],
[
0.553819,
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0.447089,
0.560017,
-0.092472
],
[
-0.863477,
0.004865,
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-1.237577,
-0.165905
]
],
"network.8.bias": [
0.079714,
0.020249,
0.515237,
-0.021685,
0.20588
],
"network.10.weight": [
[
-0.022614,
-0.40939,
0.620491,
-0.534081,
0.417664
]
],
"network.10.bias": [
0.60375
]
}
## Activation Signature
### 0
mean: [-1.670646, -4.189402, -0.773219, 3.309145, -0.381262]
std: [1.081792, 2.836644, 2.798888, 3.074016, 0.529411]
pca: [[-0.176489, -0.136594, -0.480801, 0.701010, -0.477083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.517930, -0.640869, 0.539305, -0.003593, -0.173701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468463, 0.741863, 0.404140, 0.242202, -0.090508, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.692175, -0.002997, 0.546121, 0.300891, -0.363459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.045128, -0.142337, 0.128075, 0.599479, 0.775839, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.631099, 17.480759, 19.676057, 20.263777, 150.358140], [43.468714, 48.934130, 49.453977, 54.045148, 377.046148], [44.685169, 49.330089, 56.124430, 59.579048, 69.589675], [48.065042, 54.609486, 60.786930, 61.435846, 297.823015], [8.352991, 8.823665, 9.156494, 9.298881, 34.313541]]
### 2
mean: [0.039094, -1.969495, 1.081314, 2.311937, 0.349225]
std: [0.541253, 1.025019, 1.309278, 2.516393, 0.502397]
pca: [[-0.171701, -0.125216, 0.775853, -0.258628, 0.534793, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321023, 0.511420, -0.470474, -0.153902, 0.624789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429005, 0.137464, 0.113765, 0.795257, 0.389465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.826055, 0.068516, -0.096082, -0.525309, 0.166605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.032419, 0.836170, 0.393106, -0.032293, -0.379729, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.963804, 8.942390, 9.056810, 10.078308, 13.251779], [16.572295, 18.178951, 18.877954, 20.158845, 177.254553], [22.540902, 23.361515, 23.937651, 28.472061, 97.318269], [42.896132, 44.949240, 46.914166, 54.939331, 208.074357], [7.221586, 7.392841, 7.904323, 8.404516, 31.430214]]
### 4
mean: [0.209499, -0.469522, 1.895654, 1.579853, -0.840262]
std: [0.478954, 0.779230, 2.885487, 2.205035, 1.343592]
pca: [[-0.120384, 0.065913, -0.297858, 0.944598, -0.013349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194037, 0.449272, 0.831565, 0.208397, 0.159920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.725977, 0.502753, -0.023378, 0.043474, -0.466649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.555239, -0.042405, -0.025856, 0.077249, 0.826605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335448, 0.734337, -0.467509, -0.237587, 0.270575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.433614, 8.451092, 9.032224, 10.520852, 18.854865], [13.971796, 14.086922, 14.149450, 17.185736, 42.256967], [50.832045, 50.872792, 54.813415, 62.949529, 170.608858], [38.931738, 39.135758, 41.576793, 48.627851, 142.186740], [23.413693, 23.974923, 24.682921, 30.454149, 75.623575]]
### 6
mean: [-1.860643, 2.147302, 1.236178, 1.470135, 0.696143]
std: [1.063393, 3.334520, 2.535385, 2.887613, 0.944859]
pca: [[-0.200983, 0.193834, 0.801707, 0.492725, 0.191105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.631399, 0.318498, 0.330386, -0.172258, -0.600888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480108, -0.130051, 0.255278, -0.440736, 0.702259, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546708, -0.443730, -0.185867, 0.684097, 0.040963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.177616, 0.804473, -0.385223, 0.255563, 0.327973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.809576, 19.319816, 19.343160, 22.527329, 167.457881], [59.721453, 60.841691, 61.276436, 72.553559, 193.257145], [45.609630, 46.517127, 46.533776, 54.850289, 111.256062], [52.131557, 52.784885, 52.869148, 62.029748, 132.312168], [16.116995, 16.507564, 17.398097, 20.815528, 62.652852]]
### 8
mean: [-1.600777, 4.033741, -2.706325, 3.141965, -2.811963]
std: [2.693531, 6.068090, 4.978980, 4.798176, 4.882669]
pca: [[-0.250383, 0.131080, -0.557391, 0.454909, 0.634428, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564108, 0.077415, -0.223279, 0.647877, -0.454083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462824, -0.472245, 0.479202, 0.572361, -0.074476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.446031, 0.310561, 0.621776, 0.166443, 0.538794, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453807, 0.810778, 0.152384, 0.134215, -0.308972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.053564, 49.003306, 49.718336, 56.349516, 144.069936], [108.601207, 110.503815, 110.806498, 127.401066, 363.036639], [89.338531, 90.521746, 90.752929, 105.028174, 243.569265], [85.870112, 87.232492, 88.337451, 101.026935, 282.776862], [86.998498, 89.036027, 89.052272, 101.451857, 253.076633]]
### 10
mean: [-2.513270]
std: [5.204787]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.440833, 94.120774, 95.981078, 110.707335, 226.194300]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
[
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0.181027,
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-1.225055
],
[
0.881039,
0.252418,
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0.552196,
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],
[
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],
"network.0.bias": [
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],
"network.2.weight": [
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],
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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0.889911,
-1.14988
],
[
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0.64334,
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],
[
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0.119494,
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]
],
"network.4.bias": [
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0.011521,
-0.273689,
-0.040245,
0.130379
],
"network.6.weight": [
[
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-0.241522,
0.253714
],
[
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],
[
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],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
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],
[
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],
[
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[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.620491,
-0.534081,
0.417664
]
],
"network.10.bias": [
0.60375
]
}
## Activation Signature
### 0
mean: [-1.670646, -4.189402, -0.773219, 3.309145, -0.381262]
std: [1.081792, 2.836644, 2.798888, 3.074016, 0.529411]
pca: [[-0.176489, -0.136594, -0.480801, 0.701010, -0.477083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.517930, -0.640869, 0.539305, -0.003593, -0.173701, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.468463, 0.741863, 0.404140, 0.242202, -0.090508, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.692175, -0.002997, 0.546121, 0.300891, -0.363459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.045128, -0.142337, 0.128075, 0.599479, 0.775839, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.631099, 17.480759, 19.676057, 20.263777, 150.358140], [43.468714, 48.934130, 49.453977, 54.045148, 377.046148], [44.685169, 49.330089, 56.124430, 59.579048, 69.589675], [48.065042, 54.609486, 60.786930, 61.435846, 297.823015], [8.352991, 8.823665, 9.156494, 9.298881, 34.313541]]
### 2
mean: [0.039094, -1.969495, 1.081314, 2.311937, 0.349225]
std: [0.541253, 1.025019, 1.309278, 2.516393, 0.502397]
pca: [[-0.171701, -0.125216, 0.775853, -0.258628, 0.534793, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321023, 0.511420, -0.470474, -0.153902, 0.624789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429005, 0.137464, 0.113765, 0.795257, 0.389465, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.826055, 0.068516, -0.096082, -0.525309, 0.166605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.032419, 0.836170, 0.393106, -0.032293, -0.379729, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.963804, 8.942390, 9.056810, 10.078308, 13.251779], [16.572295, 18.178951, 18.877954, 20.158845, 177.254553], [22.540902, 23.361515, 23.937651, 28.472061, 97.318269], [42.896132, 44.949240, 46.914166, 54.939331, 208.074357], [7.221586, 7.392841, 7.904323, 8.404516, 31.430214]]
### 4
mean: [0.209499, -0.469522, 1.895654, 1.579853, -0.840262]
std: [0.478954, 0.779230, 2.885487, 2.205035, 1.343592]
pca: [[-0.120384, 0.065913, -0.297858, 0.944598, -0.013349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194037, 0.449272, 0.831565, 0.208397, 0.159920, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.725977, 0.502753, -0.023378, 0.043474, -0.466649, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.555239, -0.042405, -0.025856, 0.077249, 0.826605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335448, 0.734337, -0.467509, -0.237587, 0.270575, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.433614, 8.451092, 9.032224, 10.520852, 18.854865], [13.971796, 14.086922, 14.149450, 17.185736, 42.256967], [50.832045, 50.872792, 54.813415, 62.949529, 170.608858], [38.931738, 39.135758, 41.576793, 48.627851, 142.186740], [23.413693, 23.974923, 24.682921, 30.454149, 75.623575]]
### 6
mean: [-1.860643, 2.147302, 1.236178, 1.470135, 0.696143]
std: [1.063393, 3.334520, 2.535385, 2.887613, 0.944859]
pca: [[-0.200983, 0.193834, 0.801707, 0.492725, 0.191105, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.631399, 0.318498, 0.330386, -0.172258, -0.600888, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.480108, -0.130051, 0.255278, -0.440736, 0.702259, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546708, -0.443730, -0.185867, 0.684097, 0.040963, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.177616, 0.804473, -0.385223, 0.255563, 0.327973, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.809576, 19.319816, 19.343160, 22.527329, 167.457881], [59.721453, 60.841691, 61.276436, 72.553559, 193.257145], [45.609630, 46.517127, 46.533776, 54.850289, 111.256062], [52.131557, 52.784885, 52.869148, 62.029748, 132.312168], [16.116995, 16.507564, 17.398097, 20.815528, 62.652852]]
### 8
mean: [-1.600777, 4.033741, -2.706325, 3.141965, -2.811963]
std: [2.693531, 6.068090, 4.978980, 4.798176, 4.882669]
pca: [[-0.250383, 0.131080, -0.557391, 0.454909, 0.634428, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.564108, 0.077415, -0.223279, 0.647877, -0.454083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.462824, -0.472245, 0.479202, 0.572361, -0.074476, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.446031, 0.310561, 0.621776, 0.166443, 0.538794, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453807, 0.810778, 0.152384, 0.134215, -0.308972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.053564, 49.003306, 49.718336, 56.349516, 144.069936], [108.601207, 110.503815, 110.806498, 127.401066, 363.036639], [89.338531, 90.521746, 90.752929, 105.028174, 243.569265], [85.870112, 87.232492, 88.337451, 101.026935, 282.776862], [86.998498, 89.036027, 89.052272, 101.451857, 253.076633]]
### 10
mean: [-2.513270]
std: [5.204787]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.440833, 94.120774, 95.981078, 110.707335, 226.194300]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.012086, -0.293491, 0.003614, -0.275374, -0.279629], [-0.593994, -0.821702, -0.543726, -0.090351, -0.113413], [-0.689664, 0.390715, 0.181027, 0.223811, -1.225055], [0.881039, 0.252418, -0.105031, 0.552196, 0.896679], [0.205015, -0.213975, -0.132665, 0.104014, 0.077344]], "network.0.bias": [-0.223029, -0.483475, 0.025863, -0.31788, -0.287802], "network.2.weight": [[-0.821436, -0.56068, 0.199108, -0.110834, -0.883918], [0.264221, 0.55301, -0.076884, -0.360974, 0.493413], [0.114489, -0.471368, -0.372302, 0.39677, -0.317375], [0.658515, -0.236549, -0.617296, 0.756618, -0.133629], [-0.411905, -0.458262, -0.496895, -0.00992, -0.818017]], "network.2.bias": [0.156733, -0.659348, -0.027641, 0.219525, 0.602528], "network.4.weight": [[-0.071885, -0.993938, 0.080106, -0.216252, -0.03139], [0.296546, -0.707226, -0.672585, 0.076059, -0.135293], [-0.135714, 0.196535, 0.494085, 0.889911, -1.14988], [-0.346423, 0.645282, 0.389422, 0.64334, -0.546656], [0.609639, -1.200535, 0.119494, -0.518708, -0.247624]], "network.4.bias": [0.562807, 0.011521, -0.273689, -0.040245, 0.130379], "network.6.weight": [[-0.587448, -0.132612, -0.243785, -0.241522, 0.253714], [-0.680619, -0.039481, 0.72815, 0.54221, -0.274582], [-0.736344, 0.492156, 0.47573, 0.510409, -0.057857], [-0.59337, 0.309797, 0.834464, 0.230385, 0.094753], [0.631244, -0.447235, 0.264899, 0.123524, -0.799155]], "network.6.bias": [-0.864744, -0.067249, -0.405185, -0.486372, -0.137407], "network.8.weight": [[-0.664091, -0.271372, -0.333856, -0.452087, 0.22973], [0.305017, 0.555598, 0.663225, 0.860252, 0.459259], [-1.082108, -0.433771, -0.266992, -0.8081, -0.81524], [0.553819, 0.71921, 0.447089, 0.560017, -0.092472], [-0.863477, 0.004865, -0.588478, -1.237577, -0.165905]], "network.8.bias": [0.079714, 0.020249, 0.515237, -0.021685, 0.20588], "network.10.weight": [[-0.022614, -0.40939, 0.620491, -0.534081, 0.417664]], "network.10.bias": [0.60375]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6874214112758636, "train_acc": 0.49, "val_loss": 0.7716602087020874, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6994439363479614, "train_acc": 0.6, "val_loss": 0.7716132402420044, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6510359048843384, "train_acc": 0.6, "val_loss": 0.7178782820701599, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6637989580631256, "train_acc": 0.52, "val_loss": 0.5720941424369812, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5088469237089157, "train_acc": 0.775, "val_loss": 0.44608569145202637, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.39384467899799347, "train_acc": 0.83, "val_loss": 0.380179226398468, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3587719798088074, "train_acc": 0.845, "val_loss": 0.3586837351322174, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3075765520334244, "train_acc": 0.845, "val_loss": 0.4105943441390991, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.34539128839969635, "train_acc": 0.86, "val_loss": 0.4193527102470398, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32972782850265503, "train_acc": 0.875, "val_loss": 0.4350283741950989, "val_acc": 0.78}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7716602087020874, "final_val_loss": 0.7178782820701599, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5720941424369812, "final_val_loss": 0.4350283741950989, "initial_val_acc": 0.72, "final_val_acc": 0.78, "best_val_acc": 0.86, "best_epoch": 6}, "improvement": 0.44, "first_improvement_epoch": 2}}
|
72
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.048065341110050036, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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}
## Activation Signature
### 0
mean: [1.528545, 1.168737, -0.170887, -1.447674, 0.601503, 1.243388, -0.503543]
std: [1.887190, 1.641105, 1.648388, 0.884932, 0.682604, 1.643989, 1.602194]
pca: [[0.618324, 0.159314, -0.231553, -0.509036, 0.139181, 0.268450, -0.433732, 0.000000, 0.000000, 0.000000], [0.490688, 0.425737, -0.193640, 0.129767, 0.069440, -0.496094, 0.522213, 0.000000, 0.000000, 0.000000], [0.507872, -0.096409, 0.273600, 0.639827, -0.219421, 0.447647, -0.001721, 0.000000, 0.000000, 0.000000], [0.082219, -0.117533, 0.447622, 0.078943, 0.875499, -0.075963, -0.023653, 0.000000, 0.000000, 0.000000], [-0.142852, 0.040621, -0.310559, -0.116734, 0.261625, 0.658047, 0.605307, 0.000000, 0.000000, 0.000000], [-0.293517, 0.689039, -0.238976, 0.419024, 0.205145, 0.127624, -0.384721, 0.000000, 0.000000, 0.000000], [-0.075152, 0.542064, 0.692899, -0.345288, -0.225012, 0.162340, 0.155568, 0.000000, 0.000000, 0.000000]]
fourier: [[31.058212, 31.967921, 32.986709, 33.407786, 137.569014], [25.232021, 26.682363, 27.002500, 27.631131, 105.186348], [24.362396, 24.897408, 24.973330, 25.611717, 34.524829], [15.794900, 15.901050, 15.926315, 16.098659, 130.290652], [11.127593, 12.124415, 12.146041, 12.480771, 54.135304], [27.262301, 28.492567, 31.936360, 36.275504, 111.904948], [25.281651, 27.472887, 28.058659, 30.935514, 45.318830]]
### 2
mean: [2.080755, 1.681946, 1.853768, 1.108057, 0.709201, -0.818112, 0.156818]
std: [2.351992, 1.828038, 2.076138, 1.222202, 0.940845, 0.594307, 0.425251]
pca: [[0.606873, -0.258045, -0.506089, 0.139492, 0.085287, -0.317985, -0.425612, 0.000000, 0.000000, 0.000000], [0.475464, 0.175173, -0.297920, -0.119423, -0.112850, 0.722729, 0.324279, 0.000000, 0.000000, 0.000000], [0.518601, 0.302901, 0.725759, 0.161424, -0.046170, 0.033515, -0.288557, 0.000000, 0.000000, 0.000000], [0.317781, 0.199962, 0.019620, -0.181918, -0.103233, -0.598740, 0.675577, 0.000000, 0.000000, 0.000000], [-0.178923, 0.615028, -0.308164, 0.321664, -0.585395, -0.111238, -0.190350, 0.000000, 0.000000, 0.000000], [0.043982, -0.532798, 0.138487, 0.662192, -0.395442, 0.066109, 0.309468, 0.000000, 0.000000, 0.000000], [-0.041948, 0.329940, -0.117740, 0.604287, 0.684208, 0.013800, 0.204997, 0.000000, 0.000000, 0.000000]]
fourier: [[38.201680, 38.792196, 43.000210, 47.586290, 187.267952], [29.158417, 31.868387, 32.329080, 34.156985, 151.375135], [31.536530, 33.733735, 33.902538, 35.440546, 166.839094], [19.506046, 20.794641, 21.578210, 21.830457, 99.725149], [13.473592, 15.895176, 17.132690, 17.302951, 63.828060], [10.004988, 10.303421, 10.377735, 11.640223, 73.630095], [6.006056, 6.118857, 6.198069, 8.471563, 14.113643]]
### 4
mean: [-1.039866, 2.539000, 4.962482, 1.240229, -1.688505, -0.233803, -1.018119]
std: [1.331719, 2.384388, 4.938663, 0.755863, 1.040351, 0.333107, 0.569649]
pca: [[-0.230695, 0.066452, 0.257140, 0.143707, -0.034114, 0.828524, -0.409847, 0.000000, 0.000000, 0.000000], [0.412778, 0.088085, 0.540534, -0.191430, 0.444230, -0.247826, -0.484020, 0.000000, 0.000000, 0.000000], [0.858460, -0.082181, -0.245112, 0.301127, -0.122442, 0.294639, 0.061086, 0.000000, 0.000000, 0.000000], [-0.022631, 0.868274, -0.403825, 0.134225, 0.164315, -0.058449, -0.184613, 0.000000, 0.000000, 0.000000], [-0.175249, -0.292903, -0.113330, 0.752810, 0.020025, -0.335900, -0.436692, 0.000000, 0.000000, 0.000000], [-0.019262, 0.271261, 0.551412, 0.516751, 0.147007, 0.003767, 0.577351, 0.000000, 0.000000, 0.000000], [-0.088576, -0.260380, -0.318825, 0.015972, 0.858774, 0.221489, 0.189478, 0.000000, 0.000000, 0.000000]]
fourier: [[20.133718, 22.170241, 23.515573, 26.648898, 93.587910], [33.773010, 37.843023, 41.122150, 47.331288, 228.509982], [73.534492, 82.021071, 86.853333, 97.958981, 446.623380], [10.954578, 13.774676, 14.023852, 15.213135, 111.620614], [15.290362, 15.798465, 18.444169, 18.733230, 151.965396], [4.732942, 4.994183, 5.772900, 6.811181, 21.042271], [8.363619, 9.011475, 9.860833, 10.097428, 91.630661]]
### 6
mean: [3.934108, 5.635633, 4.074456, 3.509099, 5.515333, -1.514502, -1.200090]
std: [3.769143, 5.384805, 4.110673, 3.204552, 5.398780, 1.287071, 2.787438]
pca: [[0.361479, 0.264381, -0.116673, 0.313191, 0.733704, 0.070524, -0.380051, 0.000000, 0.000000, 0.000000], [0.516733, 0.255632, -0.276424, -0.176255, -0.028536, -0.603411, 0.441863, 0.000000, 0.000000, 0.000000], [0.394259, -0.244592, 0.585898, 0.008780, 0.223535, 0.337993, 0.526474, 0.000000, 0.000000, 0.000000], [0.306751, 0.370042, -0.227263, -0.536408, -0.204267, 0.614132, -0.103479, 0.000000, 0.000000, 0.000000], [0.518317, -0.026269, 0.200773, 0.455669, -0.592807, -0.028802, -0.361197, 0.000000, 0.000000, 0.000000], [-0.122791, 0.174357, -0.454329, 0.606549, -0.116429, 0.361106, 0.486059, 0.000000, 0.000000, 0.000000], [-0.262780, 0.798065, 0.518004, 0.086596, -0.064772, -0.091090, 0.075621, 0.000000, 0.000000, 0.000000]]
fourier: [[55.727901, 61.579484, 66.383405, 73.751846, 354.069665], [78.563611, 88.658987, 94.160917, 105.815610, 507.207000], [59.447066, 68.111007, 71.750307, 83.491154, 366.701089], [47.175879, 52.732184, 56.186766, 61.353873, 315.818906], [78.322184, 88.464603, 94.120176, 108.552461, 496.380009], [19.018972, 22.023843, 22.351507, 26.159587, 136.305141], [42.692779, 46.848965, 47.802963, 58.407650, 108.008091]]
### 8
mean: [15.426372, -4.796364, -0.360552, -1.835456, -1.595799, -3.010742, -2.246063]
std: [15.197248, 5.998894, 0.929513, 1.239411, 1.391412, 4.397164, 2.957960]
pca: [[0.878992, -0.330577, 0.225571, 0.172350, 0.168352, 0.078311, 0.055048, 0.000000, 0.000000, 0.000000], [-0.346631, -0.393551, 0.364325, -0.032026, 0.689285, 0.008087, -0.340627, 0.000000, 0.000000, 0.000000], [-0.050706, -0.433154, -0.419234, 0.442070, -0.122941, -0.618833, -0.201383, 0.000000, 0.000000, 0.000000], [-0.068797, 0.494801, 0.227798, 0.663889, 0.326749, -0.195067, 0.336130, 0.000000, 0.000000, 0.000000], [-0.080334, 0.007947, 0.623049, 0.288575, -0.570415, 0.042057, -0.441447, 0.000000, 0.000000, 0.000000], [-0.253556, -0.493682, 0.319749, -0.053460, -0.219476, -0.082225, 0.729356, 0.000000, 0.000000, 0.000000], [-0.170798, -0.244133, -0.313538, 0.496953, -0.033489, 0.751177, 0.023864, 0.000000, 0.000000, 0.000000]]
fourier: [[217.417283, 252.738780, 264.301845, 302.788677, 1388.373308], [83.734293, 103.163091, 104.559038, 118.844909, 431.672794], [14.711477, 16.104791, 17.450400, 18.177805, 32.449678], [18.438967, 19.053278, 21.398866, 23.073136, 165.191005], [19.867220, 23.598811, 24.251948, 26.684745, 143.621921], [61.596784, 76.575017, 76.689315, 86.984867, 270.966828], [42.027427, 51.032958, 51.387518, 59.232362, 202.145673]]
### 10
mean: [-8.415355]
std: [9.529776]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[134.354477, 164.364554, 166.413111, 189.176653, 757.381902]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [1.528545, 1.168737, -0.170887, -1.447674, 0.601503, 1.243388, -0.503543]
std: [1.887190, 1.641105, 1.648388, 0.884932, 0.682604, 1.643989, 1.602194]
pca: [[0.618324, 0.159314, -0.231553, -0.509036, 0.139181, 0.268450, -0.433732, 0.000000, 0.000000, 0.000000], [0.490688, 0.425737, -0.193640, 0.129767, 0.069440, -0.496094, 0.522213, 0.000000, 0.000000, 0.000000], [0.507872, -0.096409, 0.273600, 0.639827, -0.219421, 0.447647, -0.001721, 0.000000, 0.000000, 0.000000], [0.082219, -0.117533, 0.447622, 0.078943, 0.875499, -0.075963, -0.023653, 0.000000, 0.000000, 0.000000], [-0.142852, 0.040621, -0.310559, -0.116734, 0.261625, 0.658047, 0.605307, 0.000000, 0.000000, 0.000000], [-0.293517, 0.689039, -0.238976, 0.419024, 0.205145, 0.127624, -0.384721, 0.000000, 0.000000, 0.000000], [-0.075152, 0.542064, 0.692899, -0.345288, -0.225012, 0.162340, 0.155568, 0.000000, 0.000000, 0.000000]]
fourier: [[31.058212, 31.967921, 32.986709, 33.407786, 137.569014], [25.232021, 26.682363, 27.002500, 27.631131, 105.186348], [24.362396, 24.897408, 24.973330, 25.611717, 34.524829], [15.794900, 15.901050, 15.926315, 16.098659, 130.290652], [11.127593, 12.124415, 12.146041, 12.480771, 54.135304], [27.262301, 28.492567, 31.936360, 36.275504, 111.904948], [25.281651, 27.472887, 28.058659, 30.935514, 45.318830]]
### 2
mean: [2.080755, 1.681946, 1.853768, 1.108057, 0.709201, -0.818112, 0.156818]
std: [2.351992, 1.828038, 2.076138, 1.222202, 0.940845, 0.594307, 0.425251]
pca: [[0.606873, -0.258045, -0.506089, 0.139492, 0.085287, -0.317985, -0.425612, 0.000000, 0.000000, 0.000000], [0.475464, 0.175173, -0.297920, -0.119423, -0.112850, 0.722729, 0.324279, 0.000000, 0.000000, 0.000000], [0.518601, 0.302901, 0.725759, 0.161424, -0.046170, 0.033515, -0.288557, 0.000000, 0.000000, 0.000000], [0.317781, 0.199962, 0.019620, -0.181918, -0.103233, -0.598740, 0.675577, 0.000000, 0.000000, 0.000000], [-0.178923, 0.615028, -0.308164, 0.321664, -0.585395, -0.111238, -0.190350, 0.000000, 0.000000, 0.000000], [0.043982, -0.532798, 0.138487, 0.662192, -0.395442, 0.066109, 0.309468, 0.000000, 0.000000, 0.000000], [-0.041948, 0.329940, -0.117740, 0.604287, 0.684208, 0.013800, 0.204997, 0.000000, 0.000000, 0.000000]]
fourier: [[38.201680, 38.792196, 43.000210, 47.586290, 187.267952], [29.158417, 31.868387, 32.329080, 34.156985, 151.375135], [31.536530, 33.733735, 33.902538, 35.440546, 166.839094], [19.506046, 20.794641, 21.578210, 21.830457, 99.725149], [13.473592, 15.895176, 17.132690, 17.302951, 63.828060], [10.004988, 10.303421, 10.377735, 11.640223, 73.630095], [6.006056, 6.118857, 6.198069, 8.471563, 14.113643]]
### 4
mean: [-1.039866, 2.539000, 4.962482, 1.240229, -1.688505, -0.233803, -1.018119]
std: [1.331719, 2.384388, 4.938663, 0.755863, 1.040351, 0.333107, 0.569649]
pca: [[-0.230695, 0.066452, 0.257140, 0.143707, -0.034114, 0.828524, -0.409847, 0.000000, 0.000000, 0.000000], [0.412778, 0.088085, 0.540534, -0.191430, 0.444230, -0.247826, -0.484020, 0.000000, 0.000000, 0.000000], [0.858460, -0.082181, -0.245112, 0.301127, -0.122442, 0.294639, 0.061086, 0.000000, 0.000000, 0.000000], [-0.022631, 0.868274, -0.403825, 0.134225, 0.164315, -0.058449, -0.184613, 0.000000, 0.000000, 0.000000], [-0.175249, -0.292903, -0.113330, 0.752810, 0.020025, -0.335900, -0.436692, 0.000000, 0.000000, 0.000000], [-0.019262, 0.271261, 0.551412, 0.516751, 0.147007, 0.003767, 0.577351, 0.000000, 0.000000, 0.000000], [-0.088576, -0.260380, -0.318825, 0.015972, 0.858774, 0.221489, 0.189478, 0.000000, 0.000000, 0.000000]]
fourier: [[20.133718, 22.170241, 23.515573, 26.648898, 93.587910], [33.773010, 37.843023, 41.122150, 47.331288, 228.509982], [73.534492, 82.021071, 86.853333, 97.958981, 446.623380], [10.954578, 13.774676, 14.023852, 15.213135, 111.620614], [15.290362, 15.798465, 18.444169, 18.733230, 151.965396], [4.732942, 4.994183, 5.772900, 6.811181, 21.042271], [8.363619, 9.011475, 9.860833, 10.097428, 91.630661]]
### 6
mean: [3.934108, 5.635633, 4.074456, 3.509099, 5.515333, -1.514502, -1.200090]
std: [3.769143, 5.384805, 4.110673, 3.204552, 5.398780, 1.287071, 2.787438]
pca: [[0.361479, 0.264381, -0.116673, 0.313191, 0.733704, 0.070524, -0.380051, 0.000000, 0.000000, 0.000000], [0.516733, 0.255632, -0.276424, -0.176255, -0.028536, -0.603411, 0.441863, 0.000000, 0.000000, 0.000000], [0.394259, -0.244592, 0.585898, 0.008780, 0.223535, 0.337993, 0.526474, 0.000000, 0.000000, 0.000000], [0.306751, 0.370042, -0.227263, -0.536408, -0.204267, 0.614132, -0.103479, 0.000000, 0.000000, 0.000000], [0.518317, -0.026269, 0.200773, 0.455669, -0.592807, -0.028802, -0.361197, 0.000000, 0.000000, 0.000000], [-0.122791, 0.174357, -0.454329, 0.606549, -0.116429, 0.361106, 0.486059, 0.000000, 0.000000, 0.000000], [-0.262780, 0.798065, 0.518004, 0.086596, -0.064772, -0.091090, 0.075621, 0.000000, 0.000000, 0.000000]]
fourier: [[55.727901, 61.579484, 66.383405, 73.751846, 354.069665], [78.563611, 88.658987, 94.160917, 105.815610, 507.207000], [59.447066, 68.111007, 71.750307, 83.491154, 366.701089], [47.175879, 52.732184, 56.186766, 61.353873, 315.818906], [78.322184, 88.464603, 94.120176, 108.552461, 496.380009], [19.018972, 22.023843, 22.351507, 26.159587, 136.305141], [42.692779, 46.848965, 47.802963, 58.407650, 108.008091]]
### 8
mean: [15.426372, -4.796364, -0.360552, -1.835456, -1.595799, -3.010742, -2.246063]
std: [15.197248, 5.998894, 0.929513, 1.239411, 1.391412, 4.397164, 2.957960]
pca: [[0.878992, -0.330577, 0.225571, 0.172350, 0.168352, 0.078311, 0.055048, 0.000000, 0.000000, 0.000000], [-0.346631, -0.393551, 0.364325, -0.032026, 0.689285, 0.008087, -0.340627, 0.000000, 0.000000, 0.000000], [-0.050706, -0.433154, -0.419234, 0.442070, -0.122941, -0.618833, -0.201383, 0.000000, 0.000000, 0.000000], [-0.068797, 0.494801, 0.227798, 0.663889, 0.326749, -0.195067, 0.336130, 0.000000, 0.000000, 0.000000], [-0.080334, 0.007947, 0.623049, 0.288575, -0.570415, 0.042057, -0.441447, 0.000000, 0.000000, 0.000000], [-0.253556, -0.493682, 0.319749, -0.053460, -0.219476, -0.082225, 0.729356, 0.000000, 0.000000, 0.000000], [-0.170798, -0.244133, -0.313538, 0.496953, -0.033489, 0.751177, 0.023864, 0.000000, 0.000000, 0.000000]]
fourier: [[217.417283, 252.738780, 264.301845, 302.788677, 1388.373308], [83.734293, 103.163091, 104.559038, 118.844909, 431.672794], [14.711477, 16.104791, 17.450400, 18.177805, 32.449678], [18.438967, 19.053278, 21.398866, 23.073136, 165.191005], [19.867220, 23.598811, 24.251948, 26.684745, 143.621921], [61.596784, 76.575017, 76.689315, 86.984867, 270.966828], [42.027427, 51.032958, 51.387518, 59.232362, 202.145673]]
### 10
mean: [-8.415355]
std: [9.529776]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[134.354477, 164.364554, 166.413111, 189.176653, 757.381902]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.778349, -0.002672, 0.549667, 0.328956, 0.31896], [-0.394382, -0.043751, 0.29326, 0.452315, 0.497521], [-0.52254, -0.150601, -0.259361, 0.351323, 0.363543], [-0.037441, -0.420104, -0.136029, 0.04773, -0.014256], [0.167488, 0.151894, 0.145291, 0.00822, -0.183237], [0.716666, -0.002807, 0.027802, 0.147443, 0.243176], [0.262951, -0.524079, 0.02796, -0.257408, 0.535385]], "network.0.bias": [0.255021, -0.456912, 0.093827, -0.436181, 0.021155, -0.317522, -0.042498], "network.2.weight": [[0.86189, 0.327392, 0.601877, 0.267326, 0.04321, -0.590576, 0.316834], [0.881316, 0.095096, 0.548964, 0.090696, -0.032949, -0.176641, 0.308635], [0.147033, 0.683816, 0.846176, -0.274594, -0.249615, -0.278865, 0.885913], [0.362174, 0.256771, 0.426344, 0.034462, 0.172528, -0.19752, 0.419414], [-0.089907, 0.044011, -0.268547, 0.005799, 0.252054, 0.454552, -0.568987], [-0.264695, 0.155927, 0.13234, -0.27567, -0.339392, -0.281827, -0.078549], [-0.275182, 0.451138, -0.281891, 0.277841, -0.031721, 0.159207, -0.375343]], "network.2.bias": [0.400974, -0.16778, 0.406505, -0.121963, 0.404008, -0.022254, 0.12689], "network.4.weight": [[-0.271921, -0.358961, -0.17123, 0.117386, 0.027046, -0.023996, 0.111582], [0.483218, 0.010028, 0.703147, 0.042167, -0.106427, 0.234572, -0.378078], [0.882205, 0.710697, 0.71701, 0.50754, -0.268958, 0.027074, -0.407125], [-0.33776, -0.068945, 0.314032, 0.383295, 0.636643, 0.364208, 0.270067], [-0.250586, 0.075758, -0.49615, 0.167846, -0.095203, -0.329156, -0.151255], [-0.229555, -0.209491, 0.236082, 0.245406, 0.080707, -0.273348, -0.196678], [0.156818, -0.241173, -0.363797, 0.219344, 0.026992, 0.19429, -0.075716]], "network.4.bias": [0.393851, 0.119024, -0.094436, 0.531717, -0.353707, -0.100145, -0.489279], "network.6.weight": [[-0.556801, 0.502722, 0.537797, 0.142383, -0.188627, -0.008897, -0.23239], [-0.438741, 0.62139, 0.819173, 0.031247, -0.025648, 0.433183, 0.019941], [-0.413295, 0.168798, 0.762701, -0.30533, 0.03278, -0.111801, 0.101546], [-0.168655, 0.289398, 0.531171, 0.18352, 0.290858, 0.528741, -0.164898], [-0.307014, 0.601894, 0.829475, -0.191818, 0.097236, -0.083714, 0.062719], [0.103875, 0.22433, -0.369802, 0.184838, 0.110742, -0.169958, -0.349721], [0.31257, -0.450985, -0.327028, 0.801107, 0.095432, -0.372655, -0.086106]], "network.6.bias": [-0.239345, -0.175424, 0.162374, -0.188341, -0.014007, -0.438955, 0.63116], "network.8.weight": [[0.803381, 0.813484, 0.591978, 0.303083, 0.771986, -0.200976, -0.718285], [-0.302764, -0.188604, -0.06582, -0.414684, -0.333819, 0.022469, 0.780638], [0.224641, 0.033186, -0.186088, -0.12422, -0.089991, 0.188046, 0.421387], [0.294023, -0.177742, 0.001687, -0.324785, -0.101894, -0.067901, -0.352442], [0.190355, -0.321155, 0.172293, -0.263427, -0.03102, 0.214505, 0.103369], [-0.171652, -0.265991, -0.018306, -0.235581, -0.191815, 0.198312, 0.747122], [0.144433, -0.36307, -0.217338, 0.001519, -0.083969, -0.155659, 0.392674]], "network.8.bias": [0.182879, 0.601087, 0.0188, -0.070372, -0.212281, 0.702285, 0.381241], "network.10.weight": [[-0.58823, 0.511843, 0.249793, -0.076658, -0.052647, 0.476926, 0.362021]], "network.10.bias": [0.126693]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6812075972557068, "train_acc": 0.55, "val_loss": 0.6776921153068542, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6427453756332397, "train_acc": 0.57, "val_loss": 0.5882235169410706, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5553796887397766, "train_acc": 0.635, "val_loss": 0.397247314453125, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.35290229320526123, "train_acc": 0.91, "val_loss": 0.29201436042785645, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.23990017175674438, "train_acc": 0.925, "val_loss": 0.2504708468914032, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.26665906608104706, "train_acc": 0.94, "val_loss": 0.25157591700553894, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22478538751602173, "train_acc": 0.95, "val_loss": 0.21804381906986237, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1759568452835083, "train_acc": 0.95, "val_loss": 0.19893133640289307, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.16384565830230713, "train_acc": 0.955, "val_loss": 0.2011377364397049, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1856730803847313, "train_acc": 0.945, "val_loss": 0.20216180384159088, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1688910722732544, "train_acc": 0.955, "val_loss": 0.1976473182439804, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.14219196513295174, "train_acc": 0.96, "val_loss": 0.19768455624580383, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6776921153068542, "final_val_loss": 0.5882235169410706, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.397247314453125, "final_val_loss": 0.19768455624580383, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
73
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2865, "learning_rate": 0.05576129768179258, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.6.bias": [
0.176819,
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0.25437,
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0.319216,
0.224504
],
"network.8.weight": [
[
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0.819569,
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0.423446
],
[
-0.332047,
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0.411118,
0.063456,
-0.604198,
-0.27311
],
[
-0.295771,
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],
[
-0.5909,
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],
[
0.14436,
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0.069828,
-0.190874,
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],
[
-0.002744,
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]
],
"network.8.bias": [
-0.205034,
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0.347768,
0.014484,
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],
"network.10.weight": [
[
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-0.300935,
-0.184872,
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]
],
"network.10.bias": [
0.153418
]
}
## Activation Signature
### 0
mean: [3.125427, 1.695913, -2.850290, 3.920227, 1.568158, 2.265054]
std: [1.822611, 2.144794, 1.919306, 2.842264, 1.657938, 1.952831]
pca: [[0.425184, 0.058004, -0.439287, 0.765541, 0.143763, 0.127122, 0.000000, 0.000000, 0.000000, 0.000000], [0.261289, 0.615029, -0.042944, -0.350359, 0.651060, 0.070651, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431269, -0.233363, 0.438554, 0.395469, 0.639672, -0.040538, 0.000000, 0.000000, 0.000000, 0.000000], [0.634364, -0.462607, 0.201685, -0.145079, 0.176168, -0.539274, 0.000000, 0.000000, 0.000000, 0.000000], [0.317275, -0.350232, 0.260047, -0.147526, 0.051493, 0.827426, 0.000000, 0.000000, 0.000000, 0.000000], [0.248741, 0.476705, 0.710318, 0.303294, -0.335539, -0.041885, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.609535, 33.029907, 33.734508, 34.112991, 281.288343], [32.334401, 33.294543, 35.732460, 40.491983, 152.632216], [31.442189, 32.216544, 32.654518, 32.794085, 256.526090], [43.675250, 48.978986, 54.240228, 59.823945, 352.820391], [28.680479, 31.688622, 33.171309, 33.541454, 141.134179], [29.688001, 31.497292, 33.247393, 36.041051, 203.854803]]
### 2
mean: [2.358387, 2.209383, 2.300590, -1.199384, 2.216534, 3.590555]
std: [2.307287, 1.492841, 1.953795, 1.310585, 3.033127, 2.452229]
pca: [[-0.466244, 0.296803, 0.803045, 0.096497, -0.019072, -0.199923, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264968, 0.293692, -0.451271, 0.567408, -0.336051, -0.452780, 0.000000, 0.000000, 0.000000, 0.000000], [0.331666, 0.448119, 0.138376, 0.376333, -0.307651, 0.658607, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270937, -0.181537, -0.069413, 0.557347, 0.704826, 0.285312, 0.000000, 0.000000, 0.000000, 0.000000], [0.645187, 0.377393, 0.119616, 0.107813, 0.456077, -0.455380, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335758, 0.670419, -0.336451, -0.452604, 0.295415, 0.180234, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.575918, 38.566355, 42.806306, 49.830459, 212.254877], [25.913076, 26.318737, 26.635850, 27.241514, 198.844523], [33.263288, 34.079393, 37.771168, 38.553962, 207.053107], [23.076663, 23.326935, 24.293943, 27.938032, 107.944551], [50.687976, 50.813427, 60.007517, 63.345206, 199.488067], [34.885424, 41.776245, 43.195090, 46.429534, 323.149956]]
### 4
mean: [-0.522516, 0.651241, 1.687720, 3.598333, 4.980628, 3.695034]
std: [2.465501, 2.806835, 2.248009, 3.031502, 3.474498, 3.834769]
pca: [[-0.334750, 0.309939, -0.170628, 0.642362, 0.590246, 0.041794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330287, 0.734566, 0.125673, 0.024337, -0.570206, 0.099005, 0.000000, 0.000000, 0.000000, 0.000000], [0.309939, -0.183660, 0.636477, 0.585424, -0.201169, 0.286206, 0.000000, 0.000000, 0.000000, 0.000000], [0.418415, 0.284056, -0.213062, -0.213344, 0.203337, 0.782294, 0.000000, 0.000000, 0.000000, 0.000000], [0.466958, 0.488933, 0.406475, -0.186250, 0.360945, -0.461197, 0.000000, 0.000000, 0.000000, 0.000000], [0.538209, 0.104287, -0.582556, 0.404788, -0.338200, -0.286096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.846755, 45.228900, 47.026461, 52.329865, 53.087720], [47.395656, 47.971470, 58.611660, 59.848749, 60.406900], [34.250427, 39.467462, 48.182237, 48.481685, 151.894811], [51.456705, 52.976537, 53.641243, 60.374918, 323.850002], [55.929729, 57.316734, 63.621105, 68.760892, 448.256456], [61.940506, 70.153396, 71.235278, 77.954902, 332.553011]]
### 6
mean: [-1.341123, 0.768652, 6.280465, 1.233911, 0.006740, 0.871264]
std: [1.434728, 2.369252, 6.950556, 1.128178, 1.280034, 1.869483]
pca: [[-0.182124, -0.135176, -0.419231, 0.043443, 0.746125, 0.462832, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276536, 0.572738, -0.153535, -0.568755, 0.250440, -0.430957, 0.000000, 0.000000, 0.000000, 0.000000], [0.903407, 0.339891, -0.209569, 0.017108, 0.154672, 0.013983, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076442, 0.481209, 0.724025, 0.293322, 0.316993, 0.227730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159345, 0.171840, -0.316460, 0.760106, 0.086300, -0.509632, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207319, 0.526386, -0.363860, 0.102662, -0.498720, 0.536918, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.234101, 23.445759, 28.976168, 29.759965, 120.701089], [38.610389, 42.383403, 49.772778, 50.057135, 69.178716], [109.281213, 128.528204, 137.581309, 144.744640, 565.241897], [19.021877, 20.256691, 21.609814, 26.487952, 111.052024], [20.251573, 20.579111, 21.727242, 28.046679, 28.936100], [30.777891, 31.811256, 39.831518, 40.112153, 78.413786]]
### 8
mean: [2.552478, 2.410144, 1.909937, 0.680564, -0.000856, 2.784437]
std: [2.300990, 3.954936, 3.462110, 4.359756, 1.084749, 5.093760]
pca: [[-0.186125, 0.898567, 0.308632, 0.010644, 0.008029, 0.250007, 0.000000, 0.000000, 0.000000, 0.000000], [0.451859, 0.230176, -0.534393, -0.366071, -0.531666, 0.201471, 0.000000, 0.000000, 0.000000, 0.000000], [0.396859, 0.131720, -0.117481, -0.427738, 0.791694, -0.040154, 0.000000, 0.000000, 0.000000, 0.000000], [0.498499, -0.234735, 0.729584, -0.163959, -0.174581, 0.326719, 0.000000, 0.000000, 0.000000, 0.000000], [0.122898, -0.097626, -0.269114, 0.538828, 0.243548, 0.743835, 0.000000, 0.000000, 0.000000, 0.000000], [0.583163, 0.240031, 0.025575, 0.604732, -0.026342, -0.485033, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.550425, 44.090601, 44.100933, 53.776674, 229.723022], [62.406824, 70.890348, 83.833831, 85.773443, 216.912951], [54.880016, 63.139933, 72.932394, 74.827355, 171.894343], [63.648926, 69.038534, 81.910831, 92.493183, 92.505601], [16.608787, 17.585591, 19.800929, 22.923970, 23.070856], [80.778136, 92.486696, 107.845640, 109.918974, 250.599356]]
### 10
mean: [-5.993586]
std: [6.104476]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[96.732737, 98.390112, 127.406024, 130.825889, 539.422739]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.061024,
0.569295,
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0.623881
],
[
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0.515251,
0.501421
],
[
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],
[
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],
[
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0.026877
],
[
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0.22544
]
],
"network.0.bias": [
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-0.239494,
0.727867
],
"network.2.weight": [
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],
[
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0.000145,
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],
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[
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[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.211433
],
[
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],
[
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],
[
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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0.186787,
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],
[
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0.575133,
0.35055
],
[
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0.387009
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[
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0.064851,
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0.176722,
0.040915
],
[
0.233694,
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0.212086,
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]
],
"network.6.bias": [
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0.25437,
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],
"network.8.weight": [
[
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0.310659,
0.133038,
0.819569,
0.28548,
0.423446
],
[
-0.332047,
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0.063456,
-0.604198,
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],
[
-0.295771,
-0.644309,
0.35927,
-0.150636,
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[
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[
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],
[
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-0.335753,
-0.528633,
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]
],
"network.8.bias": [
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0.347768,
0.014484,
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],
"network.10.weight": [
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-0.714798,
-0.300935,
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]
],
"network.10.bias": [
0.153418
]
}
## Activation Signature
### 0
mean: [3.125427, 1.695913, -2.850290, 3.920227, 1.568158, 2.265054]
std: [1.822611, 2.144794, 1.919306, 2.842264, 1.657938, 1.952831]
pca: [[0.425184, 0.058004, -0.439287, 0.765541, 0.143763, 0.127122, 0.000000, 0.000000, 0.000000, 0.000000], [0.261289, 0.615029, -0.042944, -0.350359, 0.651060, 0.070651, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431269, -0.233363, 0.438554, 0.395469, 0.639672, -0.040538, 0.000000, 0.000000, 0.000000, 0.000000], [0.634364, -0.462607, 0.201685, -0.145079, 0.176168, -0.539274, 0.000000, 0.000000, 0.000000, 0.000000], [0.317275, -0.350232, 0.260047, -0.147526, 0.051493, 0.827426, 0.000000, 0.000000, 0.000000, 0.000000], [0.248741, 0.476705, 0.710318, 0.303294, -0.335539, -0.041885, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.609535, 33.029907, 33.734508, 34.112991, 281.288343], [32.334401, 33.294543, 35.732460, 40.491983, 152.632216], [31.442189, 32.216544, 32.654518, 32.794085, 256.526090], [43.675250, 48.978986, 54.240228, 59.823945, 352.820391], [28.680479, 31.688622, 33.171309, 33.541454, 141.134179], [29.688001, 31.497292, 33.247393, 36.041051, 203.854803]]
### 2
mean: [2.358387, 2.209383, 2.300590, -1.199384, 2.216534, 3.590555]
std: [2.307287, 1.492841, 1.953795, 1.310585, 3.033127, 2.452229]
pca: [[-0.466244, 0.296803, 0.803045, 0.096497, -0.019072, -0.199923, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264968, 0.293692, -0.451271, 0.567408, -0.336051, -0.452780, 0.000000, 0.000000, 0.000000, 0.000000], [0.331666, 0.448119, 0.138376, 0.376333, -0.307651, 0.658607, 0.000000, 0.000000, 0.000000, 0.000000], [-0.270937, -0.181537, -0.069413, 0.557347, 0.704826, 0.285312, 0.000000, 0.000000, 0.000000, 0.000000], [0.645187, 0.377393, 0.119616, 0.107813, 0.456077, -0.455380, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335758, 0.670419, -0.336451, -0.452604, 0.295415, 0.180234, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.575918, 38.566355, 42.806306, 49.830459, 212.254877], [25.913076, 26.318737, 26.635850, 27.241514, 198.844523], [33.263288, 34.079393, 37.771168, 38.553962, 207.053107], [23.076663, 23.326935, 24.293943, 27.938032, 107.944551], [50.687976, 50.813427, 60.007517, 63.345206, 199.488067], [34.885424, 41.776245, 43.195090, 46.429534, 323.149956]]
### 4
mean: [-0.522516, 0.651241, 1.687720, 3.598333, 4.980628, 3.695034]
std: [2.465501, 2.806835, 2.248009, 3.031502, 3.474498, 3.834769]
pca: [[-0.334750, 0.309939, -0.170628, 0.642362, 0.590246, 0.041794, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330287, 0.734566, 0.125673, 0.024337, -0.570206, 0.099005, 0.000000, 0.000000, 0.000000, 0.000000], [0.309939, -0.183660, 0.636477, 0.585424, -0.201169, 0.286206, 0.000000, 0.000000, 0.000000, 0.000000], [0.418415, 0.284056, -0.213062, -0.213344, 0.203337, 0.782294, 0.000000, 0.000000, 0.000000, 0.000000], [0.466958, 0.488933, 0.406475, -0.186250, 0.360945, -0.461197, 0.000000, 0.000000, 0.000000, 0.000000], [0.538209, 0.104287, -0.582556, 0.404788, -0.338200, -0.286096, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.846755, 45.228900, 47.026461, 52.329865, 53.087720], [47.395656, 47.971470, 58.611660, 59.848749, 60.406900], [34.250427, 39.467462, 48.182237, 48.481685, 151.894811], [51.456705, 52.976537, 53.641243, 60.374918, 323.850002], [55.929729, 57.316734, 63.621105, 68.760892, 448.256456], [61.940506, 70.153396, 71.235278, 77.954902, 332.553011]]
### 6
mean: [-1.341123, 0.768652, 6.280465, 1.233911, 0.006740, 0.871264]
std: [1.434728, 2.369252, 6.950556, 1.128178, 1.280034, 1.869483]
pca: [[-0.182124, -0.135176, -0.419231, 0.043443, 0.746125, 0.462832, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276536, 0.572738, -0.153535, -0.568755, 0.250440, -0.430957, 0.000000, 0.000000, 0.000000, 0.000000], [0.903407, 0.339891, -0.209569, 0.017108, 0.154672, 0.013983, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076442, 0.481209, 0.724025, 0.293322, 0.316993, 0.227730, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159345, 0.171840, -0.316460, 0.760106, 0.086300, -0.509632, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207319, 0.526386, -0.363860, 0.102662, -0.498720, 0.536918, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.234101, 23.445759, 28.976168, 29.759965, 120.701089], [38.610389, 42.383403, 49.772778, 50.057135, 69.178716], [109.281213, 128.528204, 137.581309, 144.744640, 565.241897], [19.021877, 20.256691, 21.609814, 26.487952, 111.052024], [20.251573, 20.579111, 21.727242, 28.046679, 28.936100], [30.777891, 31.811256, 39.831518, 40.112153, 78.413786]]
### 8
mean: [2.552478, 2.410144, 1.909937, 0.680564, -0.000856, 2.784437]
std: [2.300990, 3.954936, 3.462110, 4.359756, 1.084749, 5.093760]
pca: [[-0.186125, 0.898567, 0.308632, 0.010644, 0.008029, 0.250007, 0.000000, 0.000000, 0.000000, 0.000000], [0.451859, 0.230176, -0.534393, -0.366071, -0.531666, 0.201471, 0.000000, 0.000000, 0.000000, 0.000000], [0.396859, 0.131720, -0.117481, -0.427738, 0.791694, -0.040154, 0.000000, 0.000000, 0.000000, 0.000000], [0.498499, -0.234735, 0.729584, -0.163959, -0.174581, 0.326719, 0.000000, 0.000000, 0.000000, 0.000000], [0.122898, -0.097626, -0.269114, 0.538828, 0.243548, 0.743835, 0.000000, 0.000000, 0.000000, 0.000000], [0.583163, 0.240031, 0.025575, 0.604732, -0.026342, -0.485033, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.550425, 44.090601, 44.100933, 53.776674, 229.723022], [62.406824, 70.890348, 83.833831, 85.773443, 216.912951], [54.880016, 63.139933, 72.932394, 74.827355, 171.894343], [63.648926, 69.038534, 81.910831, 92.493183, 92.505601], [16.608787, 17.585591, 19.800929, 22.923970, 23.070856], [80.778136, 92.486696, 107.845640, 109.918974, 250.599356]]
### 10
mean: [-5.993586]
std: [6.104476]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[96.732737, 98.390112, 127.406024, 130.825889, 539.422739]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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[62.406824151606465, 70.890348214926, 83.83383133098789, 85.77344266260884, 216.91295121610165]}, "2": {"mean": 1.9099371433258057, "std": 3.4621100425720215, "pca": [0.39685937762260437, 0.1317199170589447, -0.11748054623603821, -0.42773768305778503, 0.7916937470436096, -0.04015350714325905, 0.0, 0.0, 0.0, 0.0], "fourier": [54.8800157087946, 63.13993270509633, 72.93239368022785, 74.8273550527533, 171.8943431377411]}, "3": {"mean": 0.6805640459060669, "std": 4.359755992889404, "pca": [0.4984986186027527, -0.23473496735095978, 0.7295835614204407, -0.16395865380764008, -0.17458149790763855, 0.3267190456390381, 0.0, 0.0, 0.0, 0.0], "fourier": [63.648925727992776, 69.03853430241358, 81.91083088705733, 92.49318255354173, 92.50560136135377]}, "4": {"mean": -0.000855865073390305, "std": 1.0847485065460205, "pca": [0.12289826571941376, -0.09762569516897202, -0.2691144645214081, 0.5388284921646118, 0.24354751408100128, 0.7438353896141052, 0.0, 0.0, 0.0, 0.0], "fourier": [16.608786635672843, 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"activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.061024, 0.569295, 0.305451, 0.057743, 0.623881], [-0.79165, 0.175202, 0.309896, 0.515251, 0.501421], [0.171514, -0.445211, -0.267312, -0.512668, -0.429378], [0.899854, -0.016899, 0.687329, 0.38155, 0.268764], [0.634417, -0.136292, 0.400516, 0.185002, 0.026877], [-0.739564, -0.020563, 0.771128, 0.282665, 0.22544]], "network.0.bias": [0.632654, -0.008864, -0.065116, 0.24576, -0.239494, 0.727867], "network.2.weight": [[0.586309, 0.740527, -0.314329, -0.280207, -0.438998, 0.086741], [0.253415, 0.048156, -0.282073, -0.178306, 0.000145, 0.705972], [0.51646, -0.311381, -0.547274, 0.292187, 0.263152, -0.190343], [0.013098, 0.086354, 0.012544, -0.459492, 0.04919, 0.325766], [0.384972, -0.557618, -0.490172, 0.452936, 0.574027, -0.551354], [0.351994, 0.532459, -0.133776, 0.042273, -0.072138, 0.657322]], "network.2.bias": [0.706934, 0.375715, 0.183919, -0.449913, 0.711666, -0.088424], "network.4.weight": [[-0.469648, -0.191394, 0.032742, -0.334218, 0.454541, -0.064774], [-0.515071, -0.379505, 0.532534, 0.198656, 0.319828, 0.211433], [0.7041, 0.338067, -0.415808, -0.422952, 0.013881, -0.00959], [0.30749, 0.437076, 0.07835, -0.734657, -0.291488, 0.550975], [0.624729, 0.617507, -0.000646, -0.25715, -0.070052, 0.51909], [0.305268, 0.455361, -0.088978, -0.040908, -0.458309, 0.702651]], "network.4.bias": [0.207941, 0.159433, 0.078533, 0.302596, 0.362781, 0.633144], "network.6.weight": [[0.243982, -0.099858, -0.324158, 0.113771, 0.089356, -0.437963], [0.384354, 0.580869, 0.012711, 0.289596, 0.186787, -0.620921], [-0.716366, -0.479634, 0.348806, 0.5912, 0.575133, 0.35055], [0.54764, 0.257897, 0.13025, -0.192163, -0.092169, 0.387009], [0.368574, 0.064851, -0.553591, -0.161758, 0.176722, 0.040915], [0.233694, 0.521084, -0.279139, 0.16601, 0.212086, -0.313807]], "network.6.bias": [0.176819, 0.272996, 0.25437, -0.1616, 0.319216, 0.224504], "network.8.weight": [[0.267682, 0.310659, 0.133038, 0.819569, 0.28548, 0.423446], [-0.332047, -0.446457, 0.411118, 0.063456, -0.604198, -0.27311], [-0.295771, -0.644309, 0.35927, -0.150636, 0.178158, -0.213039], [-0.5909, -0.388039, 0.364321, -0.833908, -0.118761, -0.526136], [0.14436, -0.077128, 0.069828, -0.190874, -0.108149, -0.2054], [-0.002744, -0.476113, 0.55426, -0.335753, -0.528633, -0.376169]], "network.8.bias": [-0.205034, 0.399577, 0.347768, 0.014484, 0.034567, 0.28718], "network.10.weight": [[0.385246, -0.532966, -0.714798, -0.300935, -0.184872, -0.673203]], "network.10.bias": [0.153418]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7060195505619049, "train_acc": 0.435, "val_loss": 0.6883154511451721, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789571344852448, "train_acc": 0.565, "val_loss": 0.6603962779045105, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6577168405056, "train_acc": 0.565, "val_loss": 0.5219113230705261, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.47630858421325684, "train_acc": 0.635, "val_loss": 0.21838387846946716, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.2802886664867401, "train_acc": 0.925, "val_loss": 0.16907067596912384, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.27635321021080017, "train_acc": 0.915, "val_loss": 0.1681586503982544, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2908243387937546, "train_acc": 0.9, "val_loss": 0.6305800676345825, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4554414004087448, "train_acc": 0.76, "val_loss": 0.21086350083351135, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.28575757145881653, "train_acc": 0.895, "val_loss": 0.23760823905467987, "val_acc": 0.94}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6883154511451721, "final_val_loss": 0.5219113230705261, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.21838387846946716, "final_val_loss": 0.23760823905467987, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.3799999999999999, "first_improvement_epoch": 2}}
|
74
|
{"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.98, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8119, "learning_rate": 0.06602573665381442, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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],
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [3.470368, -2.326613, -0.020853, -2.963512, 0.432737]
std: [2.736161, 3.260454, 2.495394, 4.342561, 1.672916]
pca: [[-0.170141, -0.646375, 0.287345, -0.077824, 0.681636, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412169, 0.650454, -0.200605, 0.046706, 0.603824, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.159641, 0.361381, 0.741652, -0.542039, 0.008004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.879433, 0.107109, -0.202118, 0.059970, 0.413131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.047765, 0.130539, 0.535061, 0.833282, 0.005290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.363838, 42.728743, 53.722623, 55.245151, 312.333089], [51.979181, 54.139245, 60.319459, 68.448588, 209.395182], [34.624028, 34.755639, 36.365504, 36.657891, 46.749114], [77.776403, 80.624697, 81.734461, 91.662282, 266.716105], [26.340274, 26.896346, 30.556416, 32.654077, 38.946361]]
### 2
mean: [0.298228, -1.045229, -3.042204, 2.921933, -1.254480]
std: [1.573122, 0.650493, 1.894065, 2.155403, 2.331941]
pca: [[0.377039, -0.407300, 0.214153, 0.664520, 0.452216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.021485, 0.266673, -0.509589, -0.220423, 0.787501, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.236218, 0.821321, 0.487990, 0.160340, 0.076086, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.608145, -0.179897, 0.612390, -0.239385, 0.406781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.657070, -0.236771, 0.285136, -0.653309, 0.063900, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.740677, 23.128787, 26.840542, 27.720024, 33.901940], [9.054812, 9.279106, 10.198779, 13.051637, 94.070606], [28.467430, 30.155929, 34.488111, 36.821067, 273.798394], [32.285607, 32.470221, 35.154463, 35.401168, 262.973989], [31.816671, 34.467026, 35.733847, 38.657393, 112.903202]]
### 4
mean: [0.807559, 2.681505, -1.650438, -0.588595, 0.476339]
std: [1.257009, 1.907301, 0.605008, 0.995027, 2.128760]
pca: [[-0.391980, 0.077823, 0.732554, -0.131184, -0.535211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.573846, 0.557725, 0.022916, -0.170441, 0.574515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.090513, -0.565109, 0.326031, -0.605808, 0.446272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.310449, 0.051083, 0.580184, 0.621686, 0.421789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642247, 0.600773, 0.141175, -0.447486, -0.080103, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.425428, 17.531448, 18.579199, 19.353543, 72.680353], [25.941228, 27.543263, 29.976477, 30.773025, 241.335435], [9.411460, 9.668187, 9.889602, 10.571060, 148.539417], [13.361277, 14.465765, 15.405524, 15.443638, 52.973552], [29.456182, 29.837777, 35.638599, 36.623016, 42.870555]]
### 6
mean: [-1.789917, -1.184811, -0.654500, -0.925194, -2.257586]
std: [0.802984, 2.874363, 0.184877, 2.013273, 1.082018]
pca: [[-0.025659, 0.670595, -0.379414, 0.630651, 0.089272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.803127, 0.167849, -0.415025, -0.382817, -0.089548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.009641, 0.152710, 0.072105, -0.254189, 0.952248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563596, 0.033413, 0.714521, 0.409413, 0.055531, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191299, 0.705473, 0.409951, -0.472757, -0.272310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.593015, 11.877966, 12.857160, 14.766480, 161.092544], [40.584732, 41.149847, 41.699614, 43.245488, 106.632947], [2.740082, 2.847416, 3.106227, 3.325002, 58.904994], [28.314571, 28.957092, 30.079019, 31.600690, 83.267439], [16.822826, 17.966462, 18.959086, 21.519749, 203.182685]]
### 8
mean: [-0.201283]
std: [1.704309]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.585229, 26.569959, 27.353686, 27.365232, 34.427621]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.868547,
0.359969,
0.367685,
0.137688
],
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0.283558,
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0.768524
],
[
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0.488649,
0.636794
],
[
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[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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0.419363,
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[
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[
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[
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[
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"network.6.weight": [
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[
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[
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[
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],
"network.6.bias": [
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0.313045,
0.51935,
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [3.470368, -2.326613, -0.020853, -2.963512, 0.432737]
std: [2.736161, 3.260454, 2.495394, 4.342561, 1.672916]
pca: [[-0.170141, -0.646375, 0.287345, -0.077824, 0.681636, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412169, 0.650454, -0.200605, 0.046706, 0.603824, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.159641, 0.361381, 0.741652, -0.542039, 0.008004, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.879433, 0.107109, -0.202118, 0.059970, 0.413131, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.047765, 0.130539, 0.535061, 0.833282, 0.005290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.363838, 42.728743, 53.722623, 55.245151, 312.333089], [51.979181, 54.139245, 60.319459, 68.448588, 209.395182], [34.624028, 34.755639, 36.365504, 36.657891, 46.749114], [77.776403, 80.624697, 81.734461, 91.662282, 266.716105], [26.340274, 26.896346, 30.556416, 32.654077, 38.946361]]
### 2
mean: [0.298228, -1.045229, -3.042204, 2.921933, -1.254480]
std: [1.573122, 0.650493, 1.894065, 2.155403, 2.331941]
pca: [[0.377039, -0.407300, 0.214153, 0.664520, 0.452216, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.021485, 0.266673, -0.509589, -0.220423, 0.787501, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.236218, 0.821321, 0.487990, 0.160340, 0.076086, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.608145, -0.179897, 0.612390, -0.239385, 0.406781, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.657070, -0.236771, 0.285136, -0.653309, 0.063900, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.740677, 23.128787, 26.840542, 27.720024, 33.901940], [9.054812, 9.279106, 10.198779, 13.051637, 94.070606], [28.467430, 30.155929, 34.488111, 36.821067, 273.798394], [32.285607, 32.470221, 35.154463, 35.401168, 262.973989], [31.816671, 34.467026, 35.733847, 38.657393, 112.903202]]
### 4
mean: [0.807559, 2.681505, -1.650438, -0.588595, 0.476339]
std: [1.257009, 1.907301, 0.605008, 0.995027, 2.128760]
pca: [[-0.391980, 0.077823, 0.732554, -0.131184, -0.535211, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.573846, 0.557725, 0.022916, -0.170441, 0.574515, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.090513, -0.565109, 0.326031, -0.605808, 0.446272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.310449, 0.051083, 0.580184, 0.621686, 0.421789, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642247, 0.600773, 0.141175, -0.447486, -0.080103, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.425428, 17.531448, 18.579199, 19.353543, 72.680353], [25.941228, 27.543263, 29.976477, 30.773025, 241.335435], [9.411460, 9.668187, 9.889602, 10.571060, 148.539417], [13.361277, 14.465765, 15.405524, 15.443638, 52.973552], [29.456182, 29.837777, 35.638599, 36.623016, 42.870555]]
### 6
mean: [-1.789917, -1.184811, -0.654500, -0.925194, -2.257586]
std: [0.802984, 2.874363, 0.184877, 2.013273, 1.082018]
pca: [[-0.025659, 0.670595, -0.379414, 0.630651, 0.089272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.803127, 0.167849, -0.415025, -0.382817, -0.089548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.009641, 0.152710, 0.072105, -0.254189, 0.952248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563596, 0.033413, 0.714521, 0.409413, 0.055531, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.191299, 0.705473, 0.409951, -0.472757, -0.272310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.593015, 11.877966, 12.857160, 14.766480, 161.092544], [40.584732, 41.149847, 41.699614, 43.245488, 106.632947], [2.740082, 2.847416, 3.106227, 3.325002, 58.904994], [28.314571, 28.957092, 30.079019, 31.600690, 83.267439], [16.822826, 17.966462, 18.959086, 21.519749, 203.182685]]
### 8
mean: [-0.201283]
std: [1.704309]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.585229, 26.569959, 27.353686, 27.365232, 34.427621]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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27.353686174032866, 27.36523225861596, 34.42762074181932]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.463083, 0.868547, 0.359969, 0.367685, 0.137688], [-0.047381, -0.837877, 0.283558, -1.03669, 0.768524], [-0.83122, -0.480612, 0.020129, 0.488649, 0.636794], [-0.869327, 0.337697, -1.326197, 0.551009, -0.932964], [-0.827018, 0.106681, 0.522153, 0.070264, 0.165832]], "network.0.bias": [-0.398828, -0.057895, 0.014029, 0.242281, -0.178404], "network.2.weight": [[-0.024699, 0.422399, -0.722924, 0.789358, -0.451191], [-0.192393, -0.095958, -0.073829, -0.331703, 0.220671], [-0.691443, -0.183232, 0.187221, 0.038266, -0.013035], [0.538165, -0.32022, 0.790806, -0.236047, 0.767742], [-0.316859, 1.032, -0.819781, 0.817254, -0.886556]], "network.2.bias": [0.921667, -0.33077, -0.706415, -0.105553, 0.616887], "network.4.weight": [[-0.053106, 0.051596, -0.165999, 0.419363, -0.584549], [0.146309, -0.075065, 0.112485, 0.800893, -0.568568], [-0.381064, -0.058121, -0.061588, -0.320567, -0.079917], [0.308139, 0.010829, -0.35728, -0.296731, 0.287307], [0.903805, -0.336966, 0.28258, -0.406246, 0.895289]], "network.4.bias": [-0.147197, 0.450175, -0.391646, -0.063119, 0.631991], "network.6.weight": [[-0.287445, -0.351856, 0.072051, -0.697433, -0.41836], [0.052055, -0.974552, 0.209788, 0.206878, 0.784532], [-0.167605, -0.030089, 0.120821, -0.006865, -0.139193], [-0.395427, -0.414447, -0.008147, 0.548171, 0.519078], [-0.77792, 0.015323, 0.05037, -0.209413, -0.7759]], "network.6.bias": [0.039087, 0.565978, -0.254235, -0.032147, -0.651927], "network.8.weight": [[0.252536, 0.795875, 0.313045, 0.51935, -0.220618]], "network.8.bias": [-1.094362]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851904690265656, "train_acc": 0.555, "val_loss": 0.6799935102462769, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6675496697425842, "train_acc": 0.59, "val_loss": 0.6295082569122314, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6144601702690125, "train_acc": 0.7, "val_loss": 0.5229955911636353, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4895053207874298, "train_acc": 0.885, "val_loss": 0.4378044009208679, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.43629319965839386, "train_acc": 0.875, "val_loss": 0.3512924611568451, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3685782551765442, "train_acc": 0.94, "val_loss": 0.3318127393722534, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.35349150002002716, "train_acc": 0.94, "val_loss": 0.37320125102996826, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2935914844274521, "train_acc": 0.945, "val_loss": 0.2879394292831421, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.28173042088747025, "train_acc": 0.965, "val_loss": 0.22850391268730164, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.24432998895645142, "train_acc": 0.965, "val_loss": 0.20925113558769226, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20712514966726303, "train_acc": 0.965, "val_loss": 0.2299257218837738, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20079708099365234, "train_acc": 0.955, "val_loss": 0.25634029507637024, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6799935102462769, "final_val_loss": 0.6295082569122314, "initial_val_acc": 0.54, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5229955911636353, "final_val_loss": 0.25634029507637024, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
75
|
{"target_pattern": "alternating", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8435, "learning_rate": 0.054455867399290744, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
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],
[
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],
[
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],
[
0.657155,
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0.062372
],
[
0.003065,
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0.781097,
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],
[
-1.062142,
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]
],
"network.0.bias": [
-0.078983,
-0.139078,
0.628573,
0.763333,
0.121846,
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## Activation Signature
### 0
mean: [-0.283158, 2.003018, 1.607461, 1.265109, -1.282582, -0.814853, 3.341302, -2.822330]
std: [1.849895, 2.097327, 1.899132, 2.525096, 1.786085, 2.042120, 2.625512, 2.984742]
pca: [[-0.224542, -0.281653, 0.406589, 0.255841, -0.517181, 0.216229, -0.567921, -0.052134, 0.000000, 0.000000], [-0.482351, -0.069724, -0.199172, -0.122329, 0.113719, 0.213015, -0.068583, 0.803014, 0.000000, 0.000000], [-0.149785, 0.388097, 0.174058, -0.517433, 0.168468, 0.630627, -0.128059, -0.294008, 0.000000, 0.000000], [-0.322067, 0.188520, 0.739290, -0.041419, 0.302521, -0.453765, 0.088396, 0.085045, 0.000000, 0.000000], [0.273372, -0.085852, 0.133369, 0.550446, 0.656928, 0.351000, -0.193174, 0.071048, 0.000000, 0.000000], [-0.190121, -0.541668, 0.218056, 0.037553, -0.035690, 0.348854, 0.694055, -0.129636, 0.000000, 0.000000], [-0.212467, 0.643766, -0.036512, 0.560765, -0.293488, 0.180066, 0.324638, 0.026165, 0.000000, 0.000000], [0.659344, 0.120177, 0.389231, -0.176834, -0.284128, 0.164171, 0.155340, 0.486045, 0.000000, 0.000000]]
fourier: [[28.212211, 28.331501, 28.582965, 28.700289, 30.782638], [36.676228, 37.416607, 40.668421, 41.360977, 180.271639], [26.197369, 27.750642, 32.225202, 39.599662, 144.671481], [36.148494, 36.503562, 49.973764, 56.109589, 113.859825], [27.202812, 29.235838, 29.590335, 30.093211, 115.432399], [27.094202, 29.365431, 31.073963, 39.104241, 73.336796], [39.526831, 39.546379, 46.367661, 51.845449, 300.717213], [50.450501, 56.065016, 59.278146, 61.876689, 254.009748]]
### 2
mean: [1.848169, -3.136544, -3.164341, -0.159171, -1.566681, -1.552366, -1.261551, 0.301263]
std: [2.003267, 2.975321, 1.735378, 2.562104, 0.888726, 0.835129, 0.704036, 1.327702]
pca: [[-0.283131, -0.398840, 0.840876, -0.162503, -0.045166, 0.090795, 0.041879, -0.123474, 0.000000, 0.000000], [0.716322, 0.081843, 0.318676, 0.130588, 0.592176, 0.064469, -0.010821, -0.081435, 0.000000, 0.000000], [0.269794, 0.507341, 0.197530, -0.198861, -0.516061, -0.149211, 0.080081, -0.544295, 0.000000, 0.000000], [-0.506624, 0.585361, 0.080077, -0.280081, 0.550697, -0.083961, 0.026574, -0.069318, 0.000000, 0.000000], [-0.007273, 0.304811, 0.220382, 0.327422, -0.157080, 0.093806, 0.706241, 0.467989, 0.000000, 0.000000], [0.092409, 0.271903, 0.088160, -0.266640, -0.178694, 0.738159, -0.382974, 0.339383, 0.000000, 0.000000], [0.104557, 0.151532, 0.258063, -0.057535, -0.137800, -0.627763, -0.428234, 0.547484, 0.000000, 0.000000], [-0.240290, 0.210674, 0.151675, 0.810516, -0.045895, 0.102574, -0.402716, -0.207672, 0.000000, 0.000000]]
fourier: [[31.141159, 32.141954, 32.816768, 34.853687, 166.335182], [47.129874, 49.131878, 51.901285, 58.310234, 282.289001], [27.546002, 30.333713, 32.672541, 36.337026, 284.790676], [40.192258, 42.742180, 43.264706, 49.668496, 57.912284], [14.265051, 14.674692, 15.011101, 17.002384, 141.001277], [13.076564, 13.471658, 14.609089, 18.479589, 139.712974], [11.732717, 12.194290, 12.894260, 15.283618, 113.539599], [21.098717, 21.663709, 23.120151, 27.113691, 28.918377]]
### 4
mean: [0.827124, 0.708540, -0.053744, -0.855627, 0.553597, 0.927091, -1.072478, -1.005063]
std: [1.045186, 1.739396, 0.671889, 1.598336, 1.054399, 1.162144, 0.755226, 1.664196]
pca: [[-0.093531, 0.547952, -0.091922, -0.128416, -0.455883, 0.466135, -0.483325, 0.085704, 0.000000, 0.000000], [0.568503, 0.147858, 0.291142, -0.168967, 0.297530, 0.453506, 0.277125, 0.413083, 0.000000, 0.000000], [0.163539, -0.197716, -0.293776, 0.729803, 0.286826, 0.268679, -0.385983, 0.108655, 0.000000, 0.000000], [-0.510378, -0.240692, -0.176053, -0.134985, 0.019302, 0.021695, 0.038703, 0.793741, 0.000000, 0.000000], [-0.203553, 0.458685, 0.126134, 0.601257, -0.219680, -0.052804, 0.552921, 0.118258, 0.000000, 0.000000], [-0.156646, 0.579921, 0.012158, -0.070798, 0.655167, -0.366919, -0.254740, 0.072305, 0.000000, 0.000000], [-0.105185, -0.167306, 0.861385, 0.187699, -0.099757, -0.116925, -0.378869, 0.128705, 0.000000, 0.000000], [-0.551171, -0.078549, 0.177329, -0.048703, 0.365445, 0.594392, 0.157995, -0.380011, 0.000000, 0.000000]]
fourier: [[17.021250, 17.358433, 18.207433, 19.650081, 74.441158], [27.285897, 31.491868, 32.047859, 35.005623, 63.768570], [10.006760, 10.438019, 10.580195, 10.879396, 11.180987], [26.271478, 27.782756, 29.309892, 30.446789, 77.006442], [16.516350, 16.797602, 18.616308, 19.548071, 49.823766], [18.357449, 19.780065, 19.834663, 21.521894, 83.438144], [10.923129, 11.118927, 11.239405, 11.381045, 96.523041], [27.672703, 29.413861, 29.958110, 33.696533, 90.455708]]
### 6
mean: [-0.743724, -1.077773, 0.312284, 1.047358, 0.853417, 1.596410, 0.854945, -2.119209]
std: [0.657913, 0.505289, 0.814916, 1.889748, 1.563796, 2.329463, 1.526404, 1.199273]
pca: [[-0.122290, 0.065599, 0.822458, 0.166972, 0.084853, -0.032942, 0.448957, -0.258026, 0.000000, 0.000000], [-0.081897, 0.281755, 0.246541, 0.352847, -0.504112, -0.446289, -0.369987, 0.372062, 0.000000, 0.000000], [0.203665, -0.151456, 0.264280, 0.226451, 0.318330, 0.498063, -0.129582, 0.669526, 0.000000, 0.000000], [0.493959, 0.099742, 0.186461, -0.167525, 0.551416, -0.476708, -0.369605, -0.123720, 0.000000, 0.000000], [0.408582, -0.006821, 0.261493, -0.164068, -0.456309, 0.467623, -0.405236, -0.382900, 0.000000, 0.000000], [0.609252, -0.092678, -0.254601, 0.625852, -0.117712, -0.085202, 0.354728, -0.129473, 0.000000, 0.000000], [-0.334675, -0.637575, 0.027084, 0.434447, 0.142290, -0.054371, -0.417081, -0.307983, 0.000000, 0.000000], [-0.206709, 0.684314, -0.155677, 0.401150, 0.301591, 0.309091, -0.210102, -0.270539, 0.000000, 0.000000]]
fourier: [[10.223465, 10.860663, 12.469484, 15.037862, 66.935172], [8.145983, 9.576975, 9.734344, 10.233512, 96.999556], [12.670500, 13.184629, 14.828867, 15.303486, 28.105546], [28.900118, 29.065833, 31.102698, 33.459925, 94.262217], [23.718051, 24.169726, 27.072918, 28.859151, 76.807494], [34.703580, 40.123554, 40.551531, 41.819322, 143.676873], [20.645148, 20.848260, 26.536062, 27.030431, 76.945080], [19.897443, 20.116775, 21.309458, 22.630943, 190.728769]]
### 8
mean: [-1.657785, 0.130976, 1.633975, 2.515525, -0.949027, 1.683906, 2.053312, -1.833357]
std: [0.811105, 2.162281, 2.697852, 3.872733, 0.635964, 0.823959, 3.052575, 0.802050]
pca: [[-0.102526, -0.403405, 0.094887, 0.111509, -0.045595, 0.591866, 0.353594, -0.572628, 0.000000, 0.000000], [-0.344019, 0.424081, 0.176843, 0.130609, -0.574808, -0.190997, 0.535330, -0.003506, 0.000000, 0.000000], [0.443139, 0.082390, 0.228422, 0.850319, 0.036577, -0.101452, -0.060852, -0.079296, 0.000000, 0.000000], [0.636590, -0.062411, -0.260868, -0.289233, 0.004367, -0.372156, 0.485517, -0.254764, 0.000000, 0.000000], [-0.057019, -0.414502, -0.121943, 0.204815, 0.172919, 0.075995, 0.499371, 0.695032, 0.000000, 0.000000], [0.072903, 0.539685, 0.367590, -0.158919, 0.619389, 0.264130, 0.296248, 0.043332, 0.000000, 0.000000], [0.501864, 0.007825, 0.345943, -0.258154, -0.495501, 0.437484, -0.108736, 0.336176, 0.000000, 0.000000], [-0.095327, -0.428491, 0.754867, -0.173092, 0.084229, -0.444399, 0.002580, -0.054133, 0.000000, 0.000000]]
fourier: [[14.161673, 14.183410, 14.439231, 15.653363, 149.200669], [32.600938, 33.225362, 35.059722, 35.128634, 35.433534], [42.656442, 46.304261, 47.472814, 49.864925, 147.057769], [60.905217, 67.323113, 67.924311, 70.196383, 226.397246], [9.559623, 9.804782, 11.326549, 12.141365, 85.412422], [12.486742, 12.555101, 14.514377, 15.660702, 151.551546], [47.986498, 53.333678, 53.521130, 55.820803, 184.798026], [13.718579, 14.253562, 14.330438, 15.855995, 165.002086]]
### 10
mean: [-2.541653]
std: [4.840209]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.738778, 82.461595, 87.384115, 89.114691, 228.748801]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.283158, 2.003018, 1.607461, 1.265109, -1.282582, -0.814853, 3.341302, -2.822330]
std: [1.849895, 2.097327, 1.899132, 2.525096, 1.786085, 2.042120, 2.625512, 2.984742]
pca: [[-0.224542, -0.281653, 0.406589, 0.255841, -0.517181, 0.216229, -0.567921, -0.052134, 0.000000, 0.000000], [-0.482351, -0.069724, -0.199172, -0.122329, 0.113719, 0.213015, -0.068583, 0.803014, 0.000000, 0.000000], [-0.149785, 0.388097, 0.174058, -0.517433, 0.168468, 0.630627, -0.128059, -0.294008, 0.000000, 0.000000], [-0.322067, 0.188520, 0.739290, -0.041419, 0.302521, -0.453765, 0.088396, 0.085045, 0.000000, 0.000000], [0.273372, -0.085852, 0.133369, 0.550446, 0.656928, 0.351000, -0.193174, 0.071048, 0.000000, 0.000000], [-0.190121, -0.541668, 0.218056, 0.037553, -0.035690, 0.348854, 0.694055, -0.129636, 0.000000, 0.000000], [-0.212467, 0.643766, -0.036512, 0.560765, -0.293488, 0.180066, 0.324638, 0.026165, 0.000000, 0.000000], [0.659344, 0.120177, 0.389231, -0.176834, -0.284128, 0.164171, 0.155340, 0.486045, 0.000000, 0.000000]]
fourier: [[28.212211, 28.331501, 28.582965, 28.700289, 30.782638], [36.676228, 37.416607, 40.668421, 41.360977, 180.271639], [26.197369, 27.750642, 32.225202, 39.599662, 144.671481], [36.148494, 36.503562, 49.973764, 56.109589, 113.859825], [27.202812, 29.235838, 29.590335, 30.093211, 115.432399], [27.094202, 29.365431, 31.073963, 39.104241, 73.336796], [39.526831, 39.546379, 46.367661, 51.845449, 300.717213], [50.450501, 56.065016, 59.278146, 61.876689, 254.009748]]
### 2
mean: [1.848169, -3.136544, -3.164341, -0.159171, -1.566681, -1.552366, -1.261551, 0.301263]
std: [2.003267, 2.975321, 1.735378, 2.562104, 0.888726, 0.835129, 0.704036, 1.327702]
pca: [[-0.283131, -0.398840, 0.840876, -0.162503, -0.045166, 0.090795, 0.041879, -0.123474, 0.000000, 0.000000], [0.716322, 0.081843, 0.318676, 0.130588, 0.592176, 0.064469, -0.010821, -0.081435, 0.000000, 0.000000], [0.269794, 0.507341, 0.197530, -0.198861, -0.516061, -0.149211, 0.080081, -0.544295, 0.000000, 0.000000], [-0.506624, 0.585361, 0.080077, -0.280081, 0.550697, -0.083961, 0.026574, -0.069318, 0.000000, 0.000000], [-0.007273, 0.304811, 0.220382, 0.327422, -0.157080, 0.093806, 0.706241, 0.467989, 0.000000, 0.000000], [0.092409, 0.271903, 0.088160, -0.266640, -0.178694, 0.738159, -0.382974, 0.339383, 0.000000, 0.000000], [0.104557, 0.151532, 0.258063, -0.057535, -0.137800, -0.627763, -0.428234, 0.547484, 0.000000, 0.000000], [-0.240290, 0.210674, 0.151675, 0.810516, -0.045895, 0.102574, -0.402716, -0.207672, 0.000000, 0.000000]]
fourier: [[31.141159, 32.141954, 32.816768, 34.853687, 166.335182], [47.129874, 49.131878, 51.901285, 58.310234, 282.289001], [27.546002, 30.333713, 32.672541, 36.337026, 284.790676], [40.192258, 42.742180, 43.264706, 49.668496, 57.912284], [14.265051, 14.674692, 15.011101, 17.002384, 141.001277], [13.076564, 13.471658, 14.609089, 18.479589, 139.712974], [11.732717, 12.194290, 12.894260, 15.283618, 113.539599], [21.098717, 21.663709, 23.120151, 27.113691, 28.918377]]
### 4
mean: [0.827124, 0.708540, -0.053744, -0.855627, 0.553597, 0.927091, -1.072478, -1.005063]
std: [1.045186, 1.739396, 0.671889, 1.598336, 1.054399, 1.162144, 0.755226, 1.664196]
pca: [[-0.093531, 0.547952, -0.091922, -0.128416, -0.455883, 0.466135, -0.483325, 0.085704, 0.000000, 0.000000], [0.568503, 0.147858, 0.291142, -0.168967, 0.297530, 0.453506, 0.277125, 0.413083, 0.000000, 0.000000], [0.163539, -0.197716, -0.293776, 0.729803, 0.286826, 0.268679, -0.385983, 0.108655, 0.000000, 0.000000], [-0.510378, -0.240692, -0.176053, -0.134985, 0.019302, 0.021695, 0.038703, 0.793741, 0.000000, 0.000000], [-0.203553, 0.458685, 0.126134, 0.601257, -0.219680, -0.052804, 0.552921, 0.118258, 0.000000, 0.000000], [-0.156646, 0.579921, 0.012158, -0.070798, 0.655167, -0.366919, -0.254740, 0.072305, 0.000000, 0.000000], [-0.105185, -0.167306, 0.861385, 0.187699, -0.099757, -0.116925, -0.378869, 0.128705, 0.000000, 0.000000], [-0.551171, -0.078549, 0.177329, -0.048703, 0.365445, 0.594392, 0.157995, -0.380011, 0.000000, 0.000000]]
fourier: [[17.021250, 17.358433, 18.207433, 19.650081, 74.441158], [27.285897, 31.491868, 32.047859, 35.005623, 63.768570], [10.006760, 10.438019, 10.580195, 10.879396, 11.180987], [26.271478, 27.782756, 29.309892, 30.446789, 77.006442], [16.516350, 16.797602, 18.616308, 19.548071, 49.823766], [18.357449, 19.780065, 19.834663, 21.521894, 83.438144], [10.923129, 11.118927, 11.239405, 11.381045, 96.523041], [27.672703, 29.413861, 29.958110, 33.696533, 90.455708]]
### 6
mean: [-0.743724, -1.077773, 0.312284, 1.047358, 0.853417, 1.596410, 0.854945, -2.119209]
std: [0.657913, 0.505289, 0.814916, 1.889748, 1.563796, 2.329463, 1.526404, 1.199273]
pca: [[-0.122290, 0.065599, 0.822458, 0.166972, 0.084853, -0.032942, 0.448957, -0.258026, 0.000000, 0.000000], [-0.081897, 0.281755, 0.246541, 0.352847, -0.504112, -0.446289, -0.369987, 0.372062, 0.000000, 0.000000], [0.203665, -0.151456, 0.264280, 0.226451, 0.318330, 0.498063, -0.129582, 0.669526, 0.000000, 0.000000], [0.493959, 0.099742, 0.186461, -0.167525, 0.551416, -0.476708, -0.369605, -0.123720, 0.000000, 0.000000], [0.408582, -0.006821, 0.261493, -0.164068, -0.456309, 0.467623, -0.405236, -0.382900, 0.000000, 0.000000], [0.609252, -0.092678, -0.254601, 0.625852, -0.117712, -0.085202, 0.354728, -0.129473, 0.000000, 0.000000], [-0.334675, -0.637575, 0.027084, 0.434447, 0.142290, -0.054371, -0.417081, -0.307983, 0.000000, 0.000000], [-0.206709, 0.684314, -0.155677, 0.401150, 0.301591, 0.309091, -0.210102, -0.270539, 0.000000, 0.000000]]
fourier: [[10.223465, 10.860663, 12.469484, 15.037862, 66.935172], [8.145983, 9.576975, 9.734344, 10.233512, 96.999556], [12.670500, 13.184629, 14.828867, 15.303486, 28.105546], [28.900118, 29.065833, 31.102698, 33.459925, 94.262217], [23.718051, 24.169726, 27.072918, 28.859151, 76.807494], [34.703580, 40.123554, 40.551531, 41.819322, 143.676873], [20.645148, 20.848260, 26.536062, 27.030431, 76.945080], [19.897443, 20.116775, 21.309458, 22.630943, 190.728769]]
### 8
mean: [-1.657785, 0.130976, 1.633975, 2.515525, -0.949027, 1.683906, 2.053312, -1.833357]
std: [0.811105, 2.162281, 2.697852, 3.872733, 0.635964, 0.823959, 3.052575, 0.802050]
pca: [[-0.102526, -0.403405, 0.094887, 0.111509, -0.045595, 0.591866, 0.353594, -0.572628, 0.000000, 0.000000], [-0.344019, 0.424081, 0.176843, 0.130609, -0.574808, -0.190997, 0.535330, -0.003506, 0.000000, 0.000000], [0.443139, 0.082390, 0.228422, 0.850319, 0.036577, -0.101452, -0.060852, -0.079296, 0.000000, 0.000000], [0.636590, -0.062411, -0.260868, -0.289233, 0.004367, -0.372156, 0.485517, -0.254764, 0.000000, 0.000000], [-0.057019, -0.414502, -0.121943, 0.204815, 0.172919, 0.075995, 0.499371, 0.695032, 0.000000, 0.000000], [0.072903, 0.539685, 0.367590, -0.158919, 0.619389, 0.264130, 0.296248, 0.043332, 0.000000, 0.000000], [0.501864, 0.007825, 0.345943, -0.258154, -0.495501, 0.437484, -0.108736, 0.336176, 0.000000, 0.000000], [-0.095327, -0.428491, 0.754867, -0.173092, 0.084229, -0.444399, 0.002580, -0.054133, 0.000000, 0.000000]]
fourier: [[14.161673, 14.183410, 14.439231, 15.653363, 149.200669], [32.600938, 33.225362, 35.059722, 35.128634, 35.433534], [42.656442, 46.304261, 47.472814, 49.864925, 147.057769], [60.905217, 67.323113, 67.924311, 70.196383, 226.397246], [9.559623, 9.804782, 11.326549, 12.141365, 85.412422], [12.486742, 12.555101, 14.514377, 15.660702, 151.551546], [47.986498, 53.333678, 53.521130, 55.820803, 184.798026], [13.718579, 14.253562, 14.330438, 15.855995, 165.002086]]
### 10
mean: [-2.541653]
std: [4.840209]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.738778, 82.461595, 87.384115, 89.114691, 228.748801]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.573621, 0.378849, -0.339849, -0.591689, 0.300315], [0.756434, -0.146347, 0.627685, 0.210923, -0.240036], [0.104384, 0.442314, 0.043111, 0.422237, -0.772317], [0.77331, 0.838451, -0.72894, -0.04534, -0.298788], [-0.158179, -0.189389, -0.679294, -0.119761, 0.659446], [0.657155, -0.174193, -0.056758, -0.697904, 0.062372], [0.003065, 0.671038, -0.132843, 0.781097, 0.556265], [-1.062142, 0.348369, -0.828543, -0.359283, -0.095814]], "network.0.bias": [-0.078983, -0.139078, 0.628573, 0.763333, 0.121846, 0.223024, 0.031122, 0.484006], "network.2.weight": [[-0.029876, -0.016666, -0.185695, -0.029147, 0.892151, 0.032684, 0.72349, 0.058102], [0.484843, 0.212599, -1.169446, -0.580431, -0.837005, 0.686489, -0.259829, -0.479675], [0.030141, -0.280204, -0.372076, -0.17131, -0.394857, -0.20433, -0.35229, -0.413206], [-0.855287, -0.822873, 0.23468, 0.740613, -0.612929, -0.687804, 0.165453, -0.042426], [-0.018353, -0.335568, -0.250841, 0.24498, 0.050987, -0.26522, -0.10355, -0.077735], [0.019133, -0.246585, -0.057689, -0.146171, -0.345163, -0.017657, -0.120357, -0.294109], [-0.133045, -0.058987, -0.325988, -0.040083, -0.008763, -0.002135, -0.036608, 0.023758], [0.094551, -0.392327, -0.05524, 0.578158, 0.398483, -0.54425, 0.012748, 0.687138]], "network.2.bias": [-0.360468, 0.059256, -0.230996, 0.272427, -0.349149, -0.184485, -0.271607, 0.229496], "network.4.weight": [[0.485482, -0.375402, -0.169757, -0.388409, 0.017286, -0.171336, -0.069294, -0.055967], [-0.018567, -0.947206, -0.188723, 0.771064, -0.032495, 0.314163, -0.020305, 0.53073], [-0.157639, 0.290652, -0.350073, 0.226887, 0.026304, -0.032543, 0.332221, 0.471377], [-0.077354, 0.873191, -0.247808, -0.582138, 0.132482, -0.046539, -0.301136, -0.631389], [0.359408, -0.293657, -0.195401, -0.703838, 0.038477, 0.329068, 0.29093, 0.166752], [0.498989, -0.416245, 0.244358, -0.528299, 0.04129, -0.350893, -0.028065, -0.084871], [-0.295656, -0.361125, 0.147423, -0.236811, 0.294964, -0.067214, -0.054594, -0.032873], [-0.010685, 0.499766, -0.080349, -0.800244, 0.21417, -0.335742, 0.37508, -0.595111]], "network.4.bias": [0.304043, -0.040915, -0.29292, 0.010113, 0.355496, 0.51358, -0.23609, -0.054854], "network.6.weight": [[-0.156653, 0.350366, -0.412609, -0.251147, -0.324315, -0.01409, 0.196174, -0.080959], [-0.31068, 0.026658, -0.420112, -0.145707, -0.513048, 0.176764, 0.109377, -0.243302], [0.317449, 0.044832, -0.12635, -0.202986, 0.299979, 0.197922, 0.319644, -0.03757], [0.384129, -0.380454, -0.193899, -0.573714, 0.686152, 0.421359, -0.022585, -0.590974], [0.446081, -0.331923, 0.200359, -0.590337, 0.234679, 0.582742, 0.234359, -0.322168], [0.551187, -0.430056, -0.165693, -0.497534, 0.558289, 0.874891, 0.279202, -0.098786], [-0.020037, 0.698754, 0.276372, 0.83215, -0.149854, -0.19734, -0.253262, 0.702408], [-0.540016, -0.132465, -0.927196, -0.08941, -0.396364, -0.465421, 0.144861, -0.350197]], "network.6.bias": [-0.524207, -0.48731, -0.364639, 0.305009, 0.062026, 0.32305, 0.301321, -0.492441], "network.8.weight": [[-0.130528, -0.118008, -0.167765, -0.214031, -0.377634, -0.038726, -0.297535, -0.114463], [0.152428, 0.126729, 0.094118, -0.315493, -0.163601, -0.392633, 0.722837, 0.193677], [0.521598, -0.270823, -0.014596, 0.662679, 0.19806, 0.625015, -0.343625, -0.357305], [0.028757, -0.079946, 0.157513, 0.708371, 0.504583, 0.779226, -0.644711, -0.163226], [-0.224398, -0.285395, -0.274069, -0.141768, -0.288204, 0.008984, -0.33077, -0.239748], [0.449009, 0.050484, 0.360955, 0.228471, 0.543597, -0.157647, 0.412229, -0.080038], [0.358854, 0.342027, 0.356547, 0.508252, 0.267004, 0.673488, -0.500667, 0.254336], [0.180206, -0.106945, 0.020721, -0.509456, -0.23382, 0.013734, -0.388103, 0.160283]], "network.8.bias": [-0.500448, 0.760269, -0.382566, 0.029983, 0.003489, 0.477792, 0.065338, -0.546749], "network.10.weight": [[-0.009675, 0.628782, -0.432003, -0.633297, -0.117003, 0.264924, -0.495792, -0.142743]], "network.10.bias": [0.453749]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6697019338607788, "train_acc": 0.605, "val_loss": 0.8009991645812988, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6889713704586029, "train_acc": 0.605, "val_loss": 0.8076678514480591, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6683388948440552, "train_acc": 0.605, "val_loss": 0.7623898386955261, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6599470674991608, "train_acc": 0.605, "val_loss": 0.7343080639839172, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6452082395553589, "train_acc": 0.53, "val_loss": 0.638604462146759, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5596323609352112, "train_acc": 0.56, "val_loss": 0.5655421614646912, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4459746778011322, "train_acc": 0.85, "val_loss": 0.4995543360710144, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.36266325414180756, "train_acc": 0.895, "val_loss": 0.4523959755897522, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3309416174888611, "train_acc": 0.92, "val_loss": 0.37958985567092896, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.24511589109897614, "train_acc": 0.925, "val_loss": 0.3276587724685669, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.20183519273996353, "train_acc": 0.935, "val_loss": 0.34057027101516724, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.19568977504968643, "train_acc": 0.96, "val_loss": 0.36738258600234985, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2454048991203308, "train_acc": 0.96, "val_loss": 0.2622224688529968, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.16629940271377563, "train_acc": 0.955, "val_loss": 0.20991472899913788, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.8009991645812988, "final_val_loss": 0.7343080639839172, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.638604462146759, "final_val_loss": 0.20991472899913788, "initial_val_acc": 0.38, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 13}, "improvement": 0.5599999999999999, "first_improvement_epoch": 3}}
|
76
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8999, "learning_rate": 0.06938211819600233, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.111135,
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0.859749,
-0.453101,
0.143217
],
[
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0.589516,
0.054891,
-0.034802
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[
-0.656655,
-0.018469,
0.093624,
0.541132,
0.290212
],
[
0.284745,
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],
[
0.528197,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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[
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[
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],
[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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[
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],
"network.8.bias": [
0.12971,
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],
"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.919163, 0.354819, 1.415884, 0.859209, 1.981906, 1.826760]
std: [2.234776, 1.098198, 1.826905, 1.058083, 1.533834, 1.082254]
pca: [[0.752580, 0.432949, -0.027416, -0.001163, 0.100171, 0.485172, 0.000000, 0.000000, 0.000000, 0.000000], [0.254636, 0.294351, 0.345125, -0.542079, -0.330608, -0.571187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417781, 0.521317, 0.632721, 0.295638, -0.094451, 0.238807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068014, -0.446547, 0.288885, -0.507429, -0.331438, 0.587520, 0.000000, 0.000000, 0.000000, 0.000000], [0.409842, -0.420227, 0.338215, 0.592454, -0.407013, -0.156170, 0.000000, 0.000000, 0.000000, 0.000000], [0.147128, -0.279548, 0.530996, -0.101301, 0.772161, -0.108423, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.951656, 39.640268, 45.057915, 45.872061, 82.724668], [17.775803, 19.595062, 19.828842, 23.023889, 31.933751], [25.721560, 27.978983, 32.327491, 33.229494, 127.429571], [16.259178, 16.843327, 21.390860, 22.405332, 77.328774], [26.943611, 27.902133, 27.927174, 29.370901, 178.371576], [17.511415, 17.981033, 21.159513, 21.366708, 164.408441]]
### 2
mean: [1.774714, -1.021041, 1.259556, 1.325486, -0.839631, -0.754492]
std: [1.616437, 0.591460, 1.803654, 1.471004, 0.624456, 0.769129]
pca: [[-0.285915, 0.833802, -0.113546, 0.311224, 0.256967, 0.217352, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057849, -0.288647, -0.180677, 0.854795, 0.078012, -0.379383, 0.000000, 0.000000, 0.000000, 0.000000], [0.761390, 0.150781, 0.516659, 0.294998, 0.059695, 0.200068, 0.000000, 0.000000, 0.000000, 0.000000], [-0.546445, -0.062569, 0.739112, 0.164258, -0.343618, 0.078369, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036425, -0.292642, -0.297053, 0.233082, -0.222677, 0.849047, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187784, -0.330406, 0.230216, -0.064291, 0.869862, 0.204393, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.410938, 30.244465, 30.326289, 35.655320, 159.724282], [10.254191, 10.547353, 10.835139, 10.866217, 91.893666], [28.522963, 28.839836, 31.390466, 35.017973, 113.360080], [20.835482, 21.449460, 24.422352, 26.287488, 119.293770], [10.055202, 10.369490, 10.522491, 11.166882, 75.566754], [12.532676, 13.186848, 13.727265, 16.371282, 67.904267]]
### 4
mean: [0.694123, 1.417445, 1.477698, 0.419785, -0.136021, 1.665307]
std: [0.665351, 1.903266, 1.389032, 1.175155, 1.096923, 2.221277]
pca: [[-0.133098, -0.095186, 0.866022, 0.388721, 0.008609, -0.268425, 0.000000, 0.000000, 0.000000, 0.000000], [0.545656, -0.301105, 0.116109, -0.227879, 0.732823, -0.095684, 0.000000, 0.000000, 0.000000, 0.000000], [0.390375, 0.259112, 0.393463, -0.157533, -0.197671, 0.749510, 0.000000, 0.000000, 0.000000, 0.000000], [0.329230, -0.242154, -0.279612, 0.837067, -0.009699, 0.232401, 0.000000, 0.000000, 0.000000, 0.000000], [0.059229, 0.871669, -0.058639, 0.254487, 0.383308, -0.146829, 0.000000, 0.000000, 0.000000, 0.000000], [0.648268, 0.121209, -0.009500, -0.081884, -0.526121, -0.530526, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.551671, 10.899410, 11.385586, 12.120617, 62.471064], [29.384443, 33.246431, 33.585576, 37.183712, 127.570047], [21.456186, 24.211414, 26.324264, 32.557196, 132.992762], [19.180447, 19.228231, 20.611372, 21.935907, 37.780684], [15.022228, 19.515667, 19.571603, 20.165380, 20.850427], [36.383723, 38.766729, 40.468242, 47.174404, 149.877660]]
### 6
mean: [2.768095, -0.991387, -1.520396, -0.373510, -1.060019, 3.864562]
std: [2.804410, 0.375349, 1.561006, 0.167924, 1.486031, 3.564597]
pca: [[0.557682, -0.435423, -0.382222, 0.337588, -0.034909, 0.487974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036799, 0.753924, -0.250093, 0.075040, -0.413194, 0.437421, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310657, -0.090145, 0.210987, 0.857102, -0.293133, -0.174067, 0.000000, 0.000000, 0.000000, 0.000000], [0.008650, 0.335987, 0.154947, 0.333950, 0.833055, 0.239848, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294718, -0.262031, 0.582406, -0.181905, -0.121396, 0.676356, 0.000000, 0.000000, 0.000000, 0.000000], [0.710067, 0.228761, 0.619386, 0.034165, -0.182778, -0.158934, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.676617, 47.437292, 52.897116, 64.575429, 249.128494], [5.648842, 5.792833, 5.812677, 6.403518, 89.224866], [25.329126, 25.648348, 29.894520, 36.879245, 136.835681], [2.377023, 2.396083, 2.569502, 3.316957, 33.615917], [24.783968, 24.877781, 28.509857, 33.599789, 95.401750], [57.385502, 57.949773, 69.455721, 84.122883, 347.810591]]
### 8
mean: [-0.526122, 4.554496, 5.175569, -1.589382, -0.275877, -1.164095]
std: [0.643694, 3.933318, 4.879686, 1.361364, 0.677688, 1.178087]
pca: [[-0.096845, -0.200601, 0.791163, 0.175706, 0.533162, 0.096472, 0.000000, 0.000000, 0.000000, 0.000000], [0.597349, 0.362441, -0.153312, 0.216482, 0.483489, -0.455719, 0.000000, 0.000000, 0.000000, 0.000000], [0.741161, -0.297949, 0.156168, 0.213758, -0.353564, 0.408434, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206002, -0.493696, -0.472456, 0.650119, 0.250783, 0.071166, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100677, 0.640325, -0.096943, 0.246226, 0.159408, 0.695997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178613, 0.293036, 0.305867, 0.627126, -0.518331, -0.355975, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.958197, 10.265590, 12.795826, 15.462428, 47.350999], [63.674026, 64.730297, 76.177251, 93.137068, 409.904644], [79.208158, 80.341775, 94.135427, 115.360174, 465.801196], [22.045264, 22.650579, 26.071750, 32.006807, 143.044368], [10.918306, 11.729660, 12.561510, 15.554486, 24.828917], [18.881831, 19.183443, 22.779318, 27.949926, 104.768565]]
### 10
mean: [-6.008550]
std: [5.758426]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.796278, 94.168767, 111.110227, 137.121535, 540.769530]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.111135,
-0.569856,
0.859749,
-0.453101,
0.143217
],
[
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0.589516,
0.054891,
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],
[
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0.093624,
0.541132,
0.290212
],
[
0.284745,
0.265238,
-0.065711,
0.226606,
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],
[
0.528197,
0.15049,
0.269463,
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0.133274
],
[
0.38947,
-0.046025,
0.203569,
0.284299,
-0.032969
]
],
"network.0.bias": [
0.818361,
-0.361972,
0.552784,
-0.030254,
0.592909,
0.43172
],
"network.2.weight": [
[
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[
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0.075958,
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[
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0.225513
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[
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[
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]
],
"network.2.bias": [
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0.229349,
-0.330016
],
"network.4.weight": [
[
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0.240074,
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],
[
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0.643524,
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[
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],
[
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0.276924,
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0.471017
],
[
0.596746,
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0.363785
],
[
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],
"network.4.bias": [
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0.335688
],
"network.6.weight": [
[
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[
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[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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],
[
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],
[
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[
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],
[
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0.133967,
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]
],
"network.8.bias": [
0.12971,
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],
"network.10.weight": [
[
0.038526,
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],
"network.10.bias": [
0.478649
]
}
## Activation Signature
### 0
mean: [0.919163, 0.354819, 1.415884, 0.859209, 1.981906, 1.826760]
std: [2.234776, 1.098198, 1.826905, 1.058083, 1.533834, 1.082254]
pca: [[0.752580, 0.432949, -0.027416, -0.001163, 0.100171, 0.485172, 0.000000, 0.000000, 0.000000, 0.000000], [0.254636, 0.294351, 0.345125, -0.542079, -0.330608, -0.571187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417781, 0.521317, 0.632721, 0.295638, -0.094451, 0.238807, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068014, -0.446547, 0.288885, -0.507429, -0.331438, 0.587520, 0.000000, 0.000000, 0.000000, 0.000000], [0.409842, -0.420227, 0.338215, 0.592454, -0.407013, -0.156170, 0.000000, 0.000000, 0.000000, 0.000000], [0.147128, -0.279548, 0.530996, -0.101301, 0.772161, -0.108423, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.951656, 39.640268, 45.057915, 45.872061, 82.724668], [17.775803, 19.595062, 19.828842, 23.023889, 31.933751], [25.721560, 27.978983, 32.327491, 33.229494, 127.429571], [16.259178, 16.843327, 21.390860, 22.405332, 77.328774], [26.943611, 27.902133, 27.927174, 29.370901, 178.371576], [17.511415, 17.981033, 21.159513, 21.366708, 164.408441]]
### 2
mean: [1.774714, -1.021041, 1.259556, 1.325486, -0.839631, -0.754492]
std: [1.616437, 0.591460, 1.803654, 1.471004, 0.624456, 0.769129]
pca: [[-0.285915, 0.833802, -0.113546, 0.311224, 0.256967, 0.217352, 0.000000, 0.000000, 0.000000, 0.000000], [-0.057849, -0.288647, -0.180677, 0.854795, 0.078012, -0.379383, 0.000000, 0.000000, 0.000000, 0.000000], [0.761390, 0.150781, 0.516659, 0.294998, 0.059695, 0.200068, 0.000000, 0.000000, 0.000000, 0.000000], [-0.546445, -0.062569, 0.739112, 0.164258, -0.343618, 0.078369, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036425, -0.292642, -0.297053, 0.233082, -0.222677, 0.849047, 0.000000, 0.000000, 0.000000, 0.000000], [-0.187784, -0.330406, 0.230216, -0.064291, 0.869862, 0.204393, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.410938, 30.244465, 30.326289, 35.655320, 159.724282], [10.254191, 10.547353, 10.835139, 10.866217, 91.893666], [28.522963, 28.839836, 31.390466, 35.017973, 113.360080], [20.835482, 21.449460, 24.422352, 26.287488, 119.293770], [10.055202, 10.369490, 10.522491, 11.166882, 75.566754], [12.532676, 13.186848, 13.727265, 16.371282, 67.904267]]
### 4
mean: [0.694123, 1.417445, 1.477698, 0.419785, -0.136021, 1.665307]
std: [0.665351, 1.903266, 1.389032, 1.175155, 1.096923, 2.221277]
pca: [[-0.133098, -0.095186, 0.866022, 0.388721, 0.008609, -0.268425, 0.000000, 0.000000, 0.000000, 0.000000], [0.545656, -0.301105, 0.116109, -0.227879, 0.732823, -0.095684, 0.000000, 0.000000, 0.000000, 0.000000], [0.390375, 0.259112, 0.393463, -0.157533, -0.197671, 0.749510, 0.000000, 0.000000, 0.000000, 0.000000], [0.329230, -0.242154, -0.279612, 0.837067, -0.009699, 0.232401, 0.000000, 0.000000, 0.000000, 0.000000], [0.059229, 0.871669, -0.058639, 0.254487, 0.383308, -0.146829, 0.000000, 0.000000, 0.000000, 0.000000], [0.648268, 0.121209, -0.009500, -0.081884, -0.526121, -0.530526, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.551671, 10.899410, 11.385586, 12.120617, 62.471064], [29.384443, 33.246431, 33.585576, 37.183712, 127.570047], [21.456186, 24.211414, 26.324264, 32.557196, 132.992762], [19.180447, 19.228231, 20.611372, 21.935907, 37.780684], [15.022228, 19.515667, 19.571603, 20.165380, 20.850427], [36.383723, 38.766729, 40.468242, 47.174404, 149.877660]]
### 6
mean: [2.768095, -0.991387, -1.520396, -0.373510, -1.060019, 3.864562]
std: [2.804410, 0.375349, 1.561006, 0.167924, 1.486031, 3.564597]
pca: [[0.557682, -0.435423, -0.382222, 0.337588, -0.034909, 0.487974, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036799, 0.753924, -0.250093, 0.075040, -0.413194, 0.437421, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310657, -0.090145, 0.210987, 0.857102, -0.293133, -0.174067, 0.000000, 0.000000, 0.000000, 0.000000], [0.008650, 0.335987, 0.154947, 0.333950, 0.833055, 0.239848, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294718, -0.262031, 0.582406, -0.181905, -0.121396, 0.676356, 0.000000, 0.000000, 0.000000, 0.000000], [0.710067, 0.228761, 0.619386, 0.034165, -0.182778, -0.158934, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.676617, 47.437292, 52.897116, 64.575429, 249.128494], [5.648842, 5.792833, 5.812677, 6.403518, 89.224866], [25.329126, 25.648348, 29.894520, 36.879245, 136.835681], [2.377023, 2.396083, 2.569502, 3.316957, 33.615917], [24.783968, 24.877781, 28.509857, 33.599789, 95.401750], [57.385502, 57.949773, 69.455721, 84.122883, 347.810591]]
### 8
mean: [-0.526122, 4.554496, 5.175569, -1.589382, -0.275877, -1.164095]
std: [0.643694, 3.933318, 4.879686, 1.361364, 0.677688, 1.178087]
pca: [[-0.096845, -0.200601, 0.791163, 0.175706, 0.533162, 0.096472, 0.000000, 0.000000, 0.000000, 0.000000], [0.597349, 0.362441, -0.153312, 0.216482, 0.483489, -0.455719, 0.000000, 0.000000, 0.000000, 0.000000], [0.741161, -0.297949, 0.156168, 0.213758, -0.353564, 0.408434, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206002, -0.493696, -0.472456, 0.650119, 0.250783, 0.071166, 0.000000, 0.000000, 0.000000, 0.000000], [-0.100677, 0.640325, -0.096943, 0.246226, 0.159408, 0.695997, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178613, 0.293036, 0.305867, 0.627126, -0.518331, -0.355975, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.958197, 10.265590, 12.795826, 15.462428, 47.350999], [63.674026, 64.730297, 76.177251, 93.137068, 409.904644], [79.208158, 80.341775, 94.135427, 115.360174, 465.801196], [22.045264, 22.650579, 26.071750, 32.006807, 143.044368], [10.918306, 11.729660, 12.561510, 15.554486, 24.828917], [18.881831, 19.183443, 22.779318, 27.949926, 104.768565]]
### 10
mean: [-6.008550]
std: [5.758426]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.796278, 94.168767, 111.110227, 137.121535, 540.769530]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.111135, -0.569856, 0.859749, -0.453101, 0.143217], [-0.105599, -0.251351, 0.589516, 0.054891, -0.034802], [-0.656655, -0.018469, 0.093624, 0.541132, 0.290212], [0.284745, 0.265238, -0.065711, 0.226606, -0.240722], [0.528197, 0.15049, 0.269463, -0.125808, 0.133274], [0.38947, -0.046025, 0.203569, 0.284299, -0.032969]], "network.0.bias": [0.818361, -0.361972, 0.552784, -0.030254, 0.592909, 0.43172], "network.2.weight": [[0.888058, 0.248855, 0.589294, 0.163201, -0.092396, -0.168389], [-0.039356, -0.334351, 0.041403, 0.135746, 0.075958, -0.462717], [-0.265111, 0.253218, -0.469258, 0.441023, 0.580498, 0.380913], [-0.016247, 0.179976, 0.718054, 0.187943, -0.462607, 0.225513], [-0.117705, -0.232652, -0.131927, -0.053317, -0.011301, -0.304324], [-0.365606, -0.021057, 0.158092, -0.182312, -0.047561, 0.016433]], "network.2.bias": [-0.051186, -0.323252, 0.069164, 0.434738, 0.229349, -0.330016], "network.4.weight": [[-0.121083, -0.509295, 0.385584, 0.240074, -0.695835, -0.059994], [0.469692, -0.760099, -0.51349, 0.643524, -0.433547, -0.301283], [0.662114, -0.466043, -0.206888, 0.278588, -0.184976, -0.240767], [0.196663, -0.07338, -0.438538, 0.276924, -0.462164, 0.471017], [0.596746, 0.425032, 0.042223, -0.505099, 0.804982, 0.363785], [0.832631, -0.395974, -0.5988, 0.417048, -0.261983, -0.149256]], "network.4.bias": [-0.046439, 0.22129, 0.127699, 0.241563, -0.362177, 0.335688], "network.6.weight": [[-0.348992, 0.572184, 0.137039, 0.561117, 0.206804, 0.786898], [-0.219618, -0.331617, -0.159582, -0.029245, 0.17929, 0.202102], [0.322583, -0.71004, -0.294299, 0.142449, -0.321769, -0.040488], [-0.066571, 0.116501, -0.010651, 0.319385, 0.386124, -0.274522], [0.431673, -0.185965, -0.170984, -0.546173, -0.31903, -0.247076], [-0.343207, 0.409019, 0.660953, 0.803914, 0.488739, 0.826905]], "network.6.bias": [-0.155225, -0.488805, -0.019153, -0.259792, 0.15931, 0.131133], "network.8.weight": [[0.007687, -0.328368, -0.016198, -0.575127, -0.154625, -0.196136], [0.622012, 0.311568, -0.092881, -0.115838, 0.005985, 0.666928], [0.708972, 0.175871, -0.14558, 0.006297, -0.489319, 0.843263], [-0.473152, -0.597876, -0.095673, -0.038446, -0.07018, -0.037841], [-0.041364, 0.016678, 0.185064, -0.458945, 0.361647, -0.130514], [-0.109407, -0.609094, 0.195694, -0.703804, 0.133967, -0.236987]], "network.8.bias": [0.12971, 0.147144, -0.121652, -0.14477, 0.252816, -0.109062], "network.10.weight": [[0.038526, -0.519781, -0.77742, -0.032593, 0.237552, 0.038667]], "network.10.bias": [0.478649]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7040297389030457, "train_acc": 0.51, "val_loss": 0.6350210309028625, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5874714255332947, "train_acc": 0.575, "val_loss": 0.46489089727401733, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4520401656627655, "train_acc": 0.61, "val_loss": 0.29729536175727844, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3282341808080673, "train_acc": 0.93, "val_loss": 0.19732558727264404, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.26834718883037567, "train_acc": 0.93, "val_loss": 0.10822190344333649, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2292499616742134, "train_acc": 0.93, "val_loss": 0.043515395373106, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.23425716906785965, "train_acc": 0.92, "val_loss": 0.05473966524004936, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18533866852521896, "train_acc": 0.945, "val_loss": 0.06769195944070816, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1818375140428543, "train_acc": 0.95, "val_loss": 0.06657793372869492, "val_acc": 1.0}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6350210309028625, "final_val_loss": 0.46489089727401733, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.29729536175727844, "final_val_loss": 0.06657793372869492, "initial_val_acc": 0.98, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 3}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
77
|
{"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8736, "learning_rate": 0.08073496747622153, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.264791,
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-0.534345,
0.540065,
0.259129
],
[
0.019946,
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0.742161,
0.268658,
0.020571
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}
## Activation Signature
### 0
mean: [2.373929, 2.517910, 3.508418, -5.112608, -0.717950, -0.894268, -0.935244]
std: [2.470055, 1.549412, 2.347514, 3.796133, 2.727210, 1.956255, 2.414602]
pca: [[-0.385998, 0.163961, 0.123771, 0.815331, 0.228569, -0.036047, 0.300826, 0.000000, 0.000000, 0.000000], [-0.156835, -0.285412, 0.304466, -0.287352, -0.215865, -0.380164, 0.726326, 0.000000, 0.000000, 0.000000], [-0.138322, -0.590801, 0.442557, -0.027994, 0.236419, 0.612100, -0.067972, 0.000000, 0.000000, 0.000000], [0.771632, -0.118996, -0.226238, 0.208372, 0.190301, 0.210638, 0.463938, 0.000000, 0.000000, 0.000000], [0.442159, -0.134769, 0.593626, 0.319143, -0.214177, -0.401326, -0.353772, 0.000000, 0.000000, 0.000000], [0.088572, 0.343834, 0.334524, -0.313776, 0.787743, -0.206844, 0.015725, 0.000000, 0.000000, 0.000000], [0.092249, 0.626152, 0.425021, -0.090302, -0.377676, 0.480930, 0.191556, 0.000000, 0.000000, 0.000000]]
fourier: [[37.465088, 44.286544, 46.621226, 50.326571, 213.653629], [23.032956, 23.518190, 25.171515, 25.965896, 226.611907], [36.041839, 39.168140, 45.034113, 50.051599, 315.757595], [59.704891, 60.290734, 62.918937, 70.482047, 460.134730], [40.914122, 43.524739, 48.990202, 52.182911, 64.615535], [29.774113, 34.286654, 38.063508, 38.682492, 80.484132], [36.510969, 38.199480, 38.254604, 50.325498, 84.171933]]
### 2
mean: [-0.031083, 0.296060, 4.306572, -2.667150, 3.766863, 1.779118, -2.989216]
std: [1.945565, 0.885454, 3.433390, 3.293596, 2.076180, 2.348023, 3.692363]
pca: [[-0.270804, -0.292127, 0.142846, 0.129390, -0.102247, 0.568245, 0.686166, 0.000000, 0.000000, 0.000000], [0.040684, 0.011039, -0.175928, 0.932632, -0.080733, 0.154877, -0.258776, 0.000000, 0.000000, 0.000000], [0.086430, 0.766903, 0.141704, -0.010916, -0.590030, 0.105523, 0.157859, 0.000000, 0.000000, 0.000000], [0.619962, -0.033021, 0.054407, -0.202882, 0.108613, 0.686745, -0.294991, 0.000000, 0.000000, 0.000000], [-0.239341, 0.261199, 0.783677, 0.139623, 0.459318, 0.066641, -0.159475, 0.000000, 0.000000, 0.000000], [-0.021430, 0.501371, -0.495686, 0.019917, 0.630662, 0.118018, 0.300671, 0.000000, 0.000000, 0.000000], [0.689524, -0.075574, 0.256418, 0.228656, 0.119945, -0.389856, 0.484187, 0.000000, 0.000000, 0.000000]]
fourier: [[30.639077, 31.328372, 32.094325, 35.078639, 44.350899], [13.397708, 13.692403, 13.829887, 15.858934, 26.645389], [58.356448, 58.718501, 69.206154, 72.707870, 387.591487], [48.914332, 49.085550, 50.964613, 70.635483, 240.043440], [28.615867, 34.724288, 35.085675, 40.275527, 339.017661], [38.658396, 41.619457, 44.015402, 45.265035, 160.120606], [52.146697, 52.644685, 52.875644, 75.994379, 269.029372]]
### 4
mean: [5.464068, -1.245510, -1.733945, -6.796120, -0.666502, 0.355361, 2.624101]
std: [4.541533, 3.762727, 3.326408, 4.963101, 1.465335, 1.524677, 2.123067]
pca: [[-0.553182, -0.359800, 0.170394, 0.061804, 0.112741, -0.589209, 0.414491, 0.000000, 0.000000, 0.000000], [0.448440, -0.323138, -0.249883, 0.449498, 0.560720, 0.089256, 0.328055, 0.000000, 0.000000, 0.000000], [-0.189454, 0.743384, 0.343399, 0.177395, 0.395610, 0.127724, 0.298788, 0.000000, 0.000000, 0.000000], [0.630922, 0.059250, 0.403938, -0.286156, -0.276248, -0.281863, 0.444540, 0.000000, 0.000000, 0.000000], [0.074818, -0.260232, 0.506505, -0.395904, 0.578999, 0.007526, -0.422018, 0.000000, 0.000000, 0.000000], [-0.024479, -0.261644, 0.608352, 0.605242, -0.321400, 0.278627, -0.116632, 0.000000, 0.000000, 0.000000], [-0.229648, -0.271693, 0.028228, -0.397141, -0.039061, 0.686598, 0.491919, 0.000000, 0.000000, 0.000000]]
fourier: [[71.600553, 76.158783, 88.801462, 90.197301, 491.766191], [56.876552, 63.334451, 64.716102, 83.872767, 112.095936], [50.540964, 55.899620, 61.102426, 68.340580, 156.055092], [91.179636, 92.704905, 98.046477, 101.374224, 611.650706], [20.829623, 21.803123, 21.989007, 27.499411, 59.985163], [22.118245, 23.492598, 24.288458, 29.597126, 31.982497], [35.327378, 35.707931, 35.896795, 39.143135, 236.169032]]
### 6
mean: [6.651128, -1.113311, -0.373109, -0.297657, 0.241560, 5.287038, -1.522507]
std: [5.751870, 3.202087, 1.675348, 2.520905, 1.286791, 5.024423, 2.113245]
pca: [[0.704200, 0.178334, 0.306267, 0.237023, -0.035706, 0.309483, -0.474622, 0.000000, 0.000000, 0.000000], [-0.124606, 0.724212, -0.265357, 0.588869, -0.011444, -0.186173, 0.089547, 0.000000, 0.000000, 0.000000], [0.023196, 0.390262, -0.241346, -0.520467, 0.668854, 0.032325, -0.263842, 0.000000, 0.000000, 0.000000], [-0.244444, 0.335242, 0.774522, -0.089864, 0.155396, 0.246633, 0.367322, 0.000000, 0.000000, 0.000000], [0.132213, -0.149431, -0.364444, 0.209005, 0.258799, 0.713799, 0.455194, 0.000000, 0.000000, 0.000000], [0.621158, -0.008411, 0.043646, -0.079274, 0.185264, -0.500077, 0.567013, 0.000000, 0.000000, 0.000000], [-0.158013, -0.395755, 0.207195, 0.517808, 0.652519, -0.219321, -0.182955, 0.000000, 0.000000, 0.000000]]
fourier: [[90.098763, 95.342138, 102.607135, 108.660074, 598.601545], [50.919497, 51.291381, 54.821745, 54.903472, 100.197950], [23.824101, 26.393661, 27.644723, 28.626444, 33.579838], [37.536977, 38.007126, 39.070275, 39.317945, 44.953244], [19.500744, 19.914298, 20.775091, 21.740437, 22.405777], [72.809305, 83.530943, 86.521245, 89.500622, 475.833475], [32.116557, 38.698907, 38.966920, 43.869433, 137.025670]]
### 8
mean: [-6.804240]
std: [8.369032]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[113.880481, 117.012877, 140.230792, 146.977555, 612.381564]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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"network.0.bias": [
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],
"network.2.bias": [
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}
## Activation Signature
### 0
mean: [2.373929, 2.517910, 3.508418, -5.112608, -0.717950, -0.894268, -0.935244]
std: [2.470055, 1.549412, 2.347514, 3.796133, 2.727210, 1.956255, 2.414602]
pca: [[-0.385998, 0.163961, 0.123771, 0.815331, 0.228569, -0.036047, 0.300826, 0.000000, 0.000000, 0.000000], [-0.156835, -0.285412, 0.304466, -0.287352, -0.215865, -0.380164, 0.726326, 0.000000, 0.000000, 0.000000], [-0.138322, -0.590801, 0.442557, -0.027994, 0.236419, 0.612100, -0.067972, 0.000000, 0.000000, 0.000000], [0.771632, -0.118996, -0.226238, 0.208372, 0.190301, 0.210638, 0.463938, 0.000000, 0.000000, 0.000000], [0.442159, -0.134769, 0.593626, 0.319143, -0.214177, -0.401326, -0.353772, 0.000000, 0.000000, 0.000000], [0.088572, 0.343834, 0.334524, -0.313776, 0.787743, -0.206844, 0.015725, 0.000000, 0.000000, 0.000000], [0.092249, 0.626152, 0.425021, -0.090302, -0.377676, 0.480930, 0.191556, 0.000000, 0.000000, 0.000000]]
fourier: [[37.465088, 44.286544, 46.621226, 50.326571, 213.653629], [23.032956, 23.518190, 25.171515, 25.965896, 226.611907], [36.041839, 39.168140, 45.034113, 50.051599, 315.757595], [59.704891, 60.290734, 62.918937, 70.482047, 460.134730], [40.914122, 43.524739, 48.990202, 52.182911, 64.615535], [29.774113, 34.286654, 38.063508, 38.682492, 80.484132], [36.510969, 38.199480, 38.254604, 50.325498, 84.171933]]
### 2
mean: [-0.031083, 0.296060, 4.306572, -2.667150, 3.766863, 1.779118, -2.989216]
std: [1.945565, 0.885454, 3.433390, 3.293596, 2.076180, 2.348023, 3.692363]
pca: [[-0.270804, -0.292127, 0.142846, 0.129390, -0.102247, 0.568245, 0.686166, 0.000000, 0.000000, 0.000000], [0.040684, 0.011039, -0.175928, 0.932632, -0.080733, 0.154877, -0.258776, 0.000000, 0.000000, 0.000000], [0.086430, 0.766903, 0.141704, -0.010916, -0.590030, 0.105523, 0.157859, 0.000000, 0.000000, 0.000000], [0.619962, -0.033021, 0.054407, -0.202882, 0.108613, 0.686745, -0.294991, 0.000000, 0.000000, 0.000000], [-0.239341, 0.261199, 0.783677, 0.139623, 0.459318, 0.066641, -0.159475, 0.000000, 0.000000, 0.000000], [-0.021430, 0.501371, -0.495686, 0.019917, 0.630662, 0.118018, 0.300671, 0.000000, 0.000000, 0.000000], [0.689524, -0.075574, 0.256418, 0.228656, 0.119945, -0.389856, 0.484187, 0.000000, 0.000000, 0.000000]]
fourier: [[30.639077, 31.328372, 32.094325, 35.078639, 44.350899], [13.397708, 13.692403, 13.829887, 15.858934, 26.645389], [58.356448, 58.718501, 69.206154, 72.707870, 387.591487], [48.914332, 49.085550, 50.964613, 70.635483, 240.043440], [28.615867, 34.724288, 35.085675, 40.275527, 339.017661], [38.658396, 41.619457, 44.015402, 45.265035, 160.120606], [52.146697, 52.644685, 52.875644, 75.994379, 269.029372]]
### 4
mean: [5.464068, -1.245510, -1.733945, -6.796120, -0.666502, 0.355361, 2.624101]
std: [4.541533, 3.762727, 3.326408, 4.963101, 1.465335, 1.524677, 2.123067]
pca: [[-0.553182, -0.359800, 0.170394, 0.061804, 0.112741, -0.589209, 0.414491, 0.000000, 0.000000, 0.000000], [0.448440, -0.323138, -0.249883, 0.449498, 0.560720, 0.089256, 0.328055, 0.000000, 0.000000, 0.000000], [-0.189454, 0.743384, 0.343399, 0.177395, 0.395610, 0.127724, 0.298788, 0.000000, 0.000000, 0.000000], [0.630922, 0.059250, 0.403938, -0.286156, -0.276248, -0.281863, 0.444540, 0.000000, 0.000000, 0.000000], [0.074818, -0.260232, 0.506505, -0.395904, 0.578999, 0.007526, -0.422018, 0.000000, 0.000000, 0.000000], [-0.024479, -0.261644, 0.608352, 0.605242, -0.321400, 0.278627, -0.116632, 0.000000, 0.000000, 0.000000], [-0.229648, -0.271693, 0.028228, -0.397141, -0.039061, 0.686598, 0.491919, 0.000000, 0.000000, 0.000000]]
fourier: [[71.600553, 76.158783, 88.801462, 90.197301, 491.766191], [56.876552, 63.334451, 64.716102, 83.872767, 112.095936], [50.540964, 55.899620, 61.102426, 68.340580, 156.055092], [91.179636, 92.704905, 98.046477, 101.374224, 611.650706], [20.829623, 21.803123, 21.989007, 27.499411, 59.985163], [22.118245, 23.492598, 24.288458, 29.597126, 31.982497], [35.327378, 35.707931, 35.896795, 39.143135, 236.169032]]
### 6
mean: [6.651128, -1.113311, -0.373109, -0.297657, 0.241560, 5.287038, -1.522507]
std: [5.751870, 3.202087, 1.675348, 2.520905, 1.286791, 5.024423, 2.113245]
pca: [[0.704200, 0.178334, 0.306267, 0.237023, -0.035706, 0.309483, -0.474622, 0.000000, 0.000000, 0.000000], [-0.124606, 0.724212, -0.265357, 0.588869, -0.011444, -0.186173, 0.089547, 0.000000, 0.000000, 0.000000], [0.023196, 0.390262, -0.241346, -0.520467, 0.668854, 0.032325, -0.263842, 0.000000, 0.000000, 0.000000], [-0.244444, 0.335242, 0.774522, -0.089864, 0.155396, 0.246633, 0.367322, 0.000000, 0.000000, 0.000000], [0.132213, -0.149431, -0.364444, 0.209005, 0.258799, 0.713799, 0.455194, 0.000000, 0.000000, 0.000000], [0.621158, -0.008411, 0.043646, -0.079274, 0.185264, -0.500077, 0.567013, 0.000000, 0.000000, 0.000000], [-0.158013, -0.395755, 0.207195, 0.517808, 0.652519, -0.219321, -0.182955, 0.000000, 0.000000, 0.000000]]
fourier: [[90.098763, 95.342138, 102.607135, 108.660074, 598.601545], [50.919497, 51.291381, 54.821745, 54.903472, 100.197950], [23.824101, 26.393661, 27.644723, 28.626444, 33.579838], [37.536977, 38.007126, 39.070275, 39.317945, 44.953244], [19.500744, 19.914298, 20.775091, 21.740437, 22.405777], [72.809305, 83.530943, 86.521245, 89.500622, 475.833475], [32.116557, 38.698907, 38.966920, 43.869433, 137.025670]]
### 8
mean: [-6.804240]
std: [8.369032]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[113.880481, 117.012877, 140.230792, 146.977555, 612.381564]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.264791, 0.872274, -0.534345, 0.540065, 0.259129], [0.019946, -0.043269, 0.742161, 0.268658, 0.020571], [0.405095, 0.10011, 0.835505, -0.023268, 0.360949], [0.471792, -1.242775, -0.582321, -1.024807, 0.287295], [0.369864, -1.147653, -0.081783, -0.098087, 0.899445], [-0.838253, 0.448603, -0.174069, -0.436662, 0.795458], [-0.738485, -0.316679, -0.404841, 0.461651, 0.543148]], "network.0.bias": [0.093391, 0.42015, 0.681324, -0.3754, 0.184915, -0.34962, -0.253379], "network.2.weight": [[0.601733, 0.0794, -0.423117, -1.019526, -0.432689, -0.541261, -0.140822], [0.23874, -0.132825, -0.046687, -0.600112, 0.787946, -0.341079, -0.663837], [-0.349141, 0.602183, 0.719219, 0.703552, 0.479513, 1.176382, 0.986727], [-1.17282, -0.292469, 0.315345, -0.552305, 0.5714, 0.059177, -1.058011], [0.209156, 0.575544, 0.329421, -0.052294, -0.598061, -0.572302, 1.437536], [-0.045673, 0.232358, 0.207599, 0.887784, 0.654651, 0.823023, 0.916272], [-1.22268, -0.513768, 0.520514, -0.918807, 0.661875, -0.470876, -1.235981]], "network.2.bias": [0.214354, 0.124015, 0.160593, -0.045249, 0.607321, -0.397122, -0.227677], "network.4.weight": [[-0.33001, -0.41993, 1.138714, -0.154266, 0.247524, 0.204502, -0.405039], [0.522457, -0.082716, -0.751041, -0.284337, 0.568098, -0.37668, -0.43726], [-0.844171, 0.189787, 0.239487, 1.228533, -0.65966, -0.148575, 1.018095], [0.167352, -0.255641, -0.98519, -0.500423, -0.311685, -0.383821, -0.164795], [-0.22561, -0.033536, 0.141256, -0.854708, -0.123484, -0.105287, -0.750657], [-0.139332, -1.082416, 0.599861, -0.363465, 0.07146, -0.746828, -0.017779], [0.039535, 0.259756, 0.526146, -0.408536, 0.023705, 0.266562, -0.791079]], "network.4.bias": [-0.218434, 0.417557, -0.170401, -0.58729, -0.080563, -0.639278, 0.011609], "network.6.weight": [[0.910735, -0.667263, -0.36966, 0.650911, -0.176242, 0.34848, 0.555613], [0.061365, -1.02402, 1.116661, -0.363129, 0.133374, -0.873802, -0.529499], [0.415935, -0.410431, 0.455499, -0.159963, -0.304985, 0.005659, -0.814066], [-0.100752, 0.47828, 0.755292, -1.077115, -0.793372, -0.693326, -0.282156], [0.220709, -0.271256, -0.445491, 0.773712, 0.620533, 0.105224, -0.122113], [0.764725, -0.502307, -0.570256, -0.038026, -0.204694, 0.67523, 0.468395], [-0.254841, 0.539626, -0.493376, -1.383839, -0.108422, -0.359214, 0.123503]], "network.6.bias": [0.482888, 0.513866, -0.602976, 0.779325, -0.314849, -0.090933, -0.27038], "network.8.weight": [[-0.766041, 0.855763, 0.048015, 0.813654, -0.005502, -0.536861, 0.281826]], "network.8.bias": [0.203074]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6974546313285828, "train_acc": 0.56, "val_loss": 0.7094525098800659, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6709895730018616, "train_acc": 0.58, "val_loss": 0.6398505568504333, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6650380790233612, "train_acc": 0.71, "val_loss": 0.5322105288505554, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.613124281167984, "train_acc": 0.695, "val_loss": 0.5028053522109985, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.47170083224773407, "train_acc": 0.83, "val_loss": 0.5431113839149475, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.35933491587638855, "train_acc": 0.725, "val_loss": 0.383442223072052, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27264271676540375, "train_acc": 0.945, "val_loss": 0.28567996621131897, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22099542617797852, "train_acc": 0.95, "val_loss": 0.2508099377155304, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17433326691389084, "train_acc": 0.97, "val_loss": 0.21958167850971222, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.11002755910158157, "train_acc": 0.975, "val_loss": 0.1710517257452011, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.08377164974808693, "train_acc": 0.96, "val_loss": 0.1845436841249466, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.08247287943959236, "train_acc": 0.98, "val_loss": 0.20858882367610931, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7094525098800659, "final_val_loss": 0.6398505568504333, "initial_val_acc": 0.48, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5322105288505554, "final_val_loss": 0.20858882367610931, "initial_val_acc": 0.72, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 10}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
78
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.4, "improved_accuracy": 0.76, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8497, "learning_rate": 0.09416931889116947, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.247989, 2.673172, 0.919676, 2.311717, 0.775998, -0.051367, 1.211347]
std: [1.873729, 2.338473, 1.617393, 2.184732, 1.779693, 1.948440, 1.682549]
pca: [[0.390100, -0.095734, -0.424503, -0.120426, 0.192187, 0.454685, 0.632675, 0.000000, 0.000000, 0.000000], [0.519822, -0.030641, -0.216476, -0.652418, -0.054587, -0.126290, -0.487243, 0.000000, 0.000000, 0.000000], [0.341260, 0.139090, 0.293263, 0.251395, -0.562366, 0.597762, -0.203513, 0.000000, 0.000000, 0.000000], [0.457649, -0.350260, -0.240725, 0.674025, 0.180888, -0.256367, -0.239108, 0.000000, 0.000000, 0.000000], [0.096919, 0.839702, -0.403564, 0.190192, -0.144721, -0.249742, 0.056170, 0.000000, 0.000000, 0.000000], [0.345458, 0.360411, 0.576895, 0.002744, 0.645083, 0.042514, 0.002620, 0.000000, 0.000000, 0.000000], [0.350672, -0.113456, 0.365118, -0.078477, -0.417171, -0.538601, 0.510455, 0.000000, 0.000000, 0.000000]]
fourier: [[26.437330, 28.452353, 29.263715, 34.609914, 202.319015], [34.849853, 34.995157, 38.460739, 39.861764, 240.585513], [25.191316, 26.145518, 28.086885, 31.545622, 82.770809], [30.865956, 35.805688, 39.196955, 40.258196, 208.054546], [29.745789, 30.039538, 32.320354, 33.283073, 69.839788], [29.374158, 31.199488, 34.443964, 34.683204, 40.409745], [25.247627, 29.788760, 29.927554, 30.747271, 109.021189]]
### 2
mean: [-1.077530, -2.767315, 2.573336, -2.256155, -2.412718, 4.443901, -0.962047]
std: [1.007796, 1.988778, 2.642903, 1.739082, 1.264000, 3.461015, 0.627002]
pca: [[-0.102599, 0.651062, -0.525994, -0.141958, -0.304085, -0.195366, 0.371664, 0.000000, 0.000000, 0.000000], [-0.377174, 0.195286, -0.313212, 0.350966, 0.681480, -0.202913, -0.304525, 0.000000, 0.000000, 0.000000], [0.495707, 0.502454, 0.152649, -0.446579, 0.242618, 0.066163, -0.464585, 0.000000, 0.000000, 0.000000], [-0.300592, 0.439120, 0.750287, 0.247685, -0.129859, -0.269236, 0.056463, 0.000000, 0.000000, 0.000000], [-0.235331, 0.274727, 0.014425, 0.170598, -0.012605, 0.916275, 0.010685, 0.000000, 0.000000, 0.000000], [0.665554, 0.126096, 0.005136, 0.605878, 0.193117, 0.018593, 0.369302, 0.000000, 0.000000, 0.000000], [-0.113092, -0.036340, 0.196878, -0.446876, 0.574402, 0.062355, 0.643121, 0.000000, 0.000000, 0.000000]]
fourier: [[15.394457, 16.071081, 16.550388, 18.404151, 96.977733], [27.616691, 29.345014, 32.881909, 35.066747, 249.058392], [41.055577, 43.482135, 44.187177, 46.260307, 231.600199], [25.143687, 27.020948, 29.502224, 32.077008, 203.053946], [16.986281, 19.547146, 20.805570, 21.335592, 217.144584], [49.968734, 52.030210, 60.513255, 61.981060, 399.951055], [9.123207, 9.292201, 10.343869, 11.613464, 86.584264]]
### 4
mean: [-2.667215, 2.449520, -2.577599, -3.410399, 2.409729, 2.609333, -1.914335]
std: [2.065965, 2.364319, 2.078572, 2.912273, 2.408096, 2.664520, 1.773151]
pca: [[0.329527, 0.857374, -0.243352, -0.175135, -0.224330, -0.110227, -0.062896, 0.000000, 0.000000, 0.000000], [-0.380201, 0.319002, -0.099777, -0.198045, 0.590986, 0.461934, 0.376643, 0.000000, 0.000000, 0.000000], [0.334428, 0.186098, 0.166783, 0.774138, 0.459051, -0.114344, 0.051154, 0.000000, 0.000000, 0.000000], [0.468751, -0.035188, 0.662373, -0.440306, 0.116174, -0.075118, 0.356773, 0.000000, 0.000000, 0.000000], [-0.387285, 0.300561, 0.632159, 0.016781, -0.005525, 0.105848, -0.590366, 0.000000, 0.000000, 0.000000], [-0.428770, 0.189363, 0.240187, 0.295850, -0.469265, -0.203003, 0.611278, 0.000000, 0.000000, 0.000000], [0.285404, -0.032896, 0.083395, 0.221670, -0.394902, 0.838651, 0.045683, 0.000000, 0.000000, 0.000000]]
fourier: [[29.431883, 30.816731, 36.057513, 37.066116, 240.049328], [36.081986, 38.329008, 41.453270, 42.081626, 220.456760], [31.510329, 32.128869, 36.902075, 36.902214, 231.983912], [44.182206, 46.088036, 51.351817, 51.786558, 306.935903], [36.824959, 38.849672, 42.369471, 42.788008, 216.875577], [40.613790, 42.573862, 46.965337, 47.348052, 234.839996], [26.975966, 28.057665, 31.314885, 31.531845, 172.290171]]
### 6
mean: [-2.482103, 2.438859, -1.608191, 0.933153, -1.420146, -2.770294, -0.635694]
std: [2.194096, 2.266539, 1.316379, 0.907933, 0.965311, 2.509579, 0.349812]
pca: [[0.492358, -0.167590, -0.200676, -0.066832, 0.565258, -0.387041, -0.464157, 0.000000, 0.000000, 0.000000], [-0.508614, 0.151472, 0.274590, 0.421406, 0.600087, -0.268972, 0.181479, 0.000000, 0.000000, 0.000000], [0.295371, 0.339164, 0.657297, -0.381036, -0.110576, -0.420444, 0.177472, 0.000000, 0.000000, 0.000000], [-0.203671, 0.516640, -0.416971, 0.154606, -0.378629, -0.530034, -0.263699, 0.000000, 0.000000, 0.000000], [0.216529, 0.612916, 0.205860, 0.246807, 0.126648, 0.538075, -0.410600, 0.000000, 0.000000, 0.000000], [0.563156, -0.004242, -0.084692, 0.655294, -0.130367, -0.102345, 0.467744, 0.000000, 0.000000, 0.000000], [0.078357, 0.437421, -0.478407, -0.398165, 0.362982, 0.141933, 0.513043, 0.000000, 0.000000, 0.000000]]
fourier: [[34.006796, 35.912059, 37.864182, 39.521782, 223.389289], [35.125762, 37.061892, 39.142042, 40.810245, 219.497358], [20.459382, 21.741842, 22.602793, 23.794392, 144.737175], [13.978799, 14.783244, 15.828285, 16.198521, 83.983799], [15.053064, 16.024490, 16.436986, 17.571975, 127.813095], [38.852383, 41.136536, 43.290536, 45.255501, 249.326448], [5.541554, 5.799197, 5.845350, 6.438466, 57.212420]]
### 8
mean: [-1.406526, 0.076341, -0.662157, -0.464756, 0.481648, -1.485002, 0.350589]
std: [1.163947, 0.186295, 0.184068, 0.112829, 0.556098, 1.244860, 0.744964]
pca: [[0.593204, 0.524292, 0.041518, -0.143308, 0.109244, -0.172294, 0.556189, 0.000000, 0.000000, 0.000000], [-0.094940, 0.423028, 0.167362, 0.769146, -0.073344, -0.375924, -0.213870, 0.000000, 0.000000, 0.000000], [0.093807, 0.354991, -0.312463, -0.000976, 0.674463, 0.350801, -0.435415, 0.000000, 0.000000, 0.000000], [0.057490, 0.491457, -0.031031, -0.307917, -0.665118, 0.248599, -0.393961, 0.000000, 0.000000, 0.000000], [-0.283415, 0.192674, 0.823624, -0.340273, 0.278469, -0.040917, -0.095875, 0.000000, 0.000000, 0.000000], [0.634442, -0.313139, 0.436196, 0.301196, -0.064544, 0.420517, -0.193495, 0.000000, 0.000000, 0.000000], [-0.379671, 0.208415, 0.055202, 0.294210, -0.060771, 0.682366, 0.503477, 0.000000, 0.000000, 0.000000]]
fourier: [[18.035294, 19.123089, 20.067192, 20.984134, 126.587371], [2.881746, 3.035964, 3.219086, 3.357620, 6.870724], [2.854502, 3.036732, 3.169528, 3.318751, 59.594135], [1.752094, 1.874526, 1.938494, 2.034391, 41.828028], [8.612507, 9.114688, 9.594039, 10.024877, 43.348343], [19.280659, 20.409105, 21.475257, 22.441485, 133.650210], [11.537859, 12.211861, 12.851972, 13.429658, 31.553006]]
### 10
mean: [-0.609631, -0.402106, 0.379998, -0.359874, -0.429237, -0.369737, 0.202767]
std: [0.158942, 0.207176, 0.108840, 0.261568, 0.500341, 0.077325, 0.445198]
pca: [[0.204820, 0.024065, -0.070684, 0.141788, -0.034693, -0.253840, 0.930984, 0.000000, 0.000000, 0.000000], [0.265052, 0.886585, -0.003569, -0.307263, -0.039250, -0.198940, -0.090410, 0.000000, 0.000000, 0.000000], [0.140244, 0.046517, -0.307189, -0.351010, 0.331434, 0.775570, 0.221895, 0.000000, 0.000000, 0.000000], [0.337015, -0.157102, 0.826900, -0.235037, 0.347480, 0.008605, 0.043789, 0.000000, 0.000000, 0.000000], [0.644766, -0.019656, -0.252275, 0.560621, 0.377631, -0.052562, -0.246138, 0.000000, 0.000000, 0.000000], [0.099257, 0.242067, 0.356362, 0.483576, -0.527690, 0.538065, 0.052357, 0.000000, 0.000000, 0.000000], [-0.573562, 0.357157, 0.161946, 0.398614, 0.587880, 0.046140, 0.103028, 0.000000, 0.000000, 0.000000]]
fourier: [[2.569363, 2.627333, 2.767673, 2.958207, 54.866763], [3.256519, 3.442227, 3.446379, 3.768594, 36.189546], [1.750725, 1.793013, 1.895787, 2.022108, 34.199785], [4.250484, 4.369210, 4.565401, 4.886161, 32.388622], [8.074288, 8.297276, 8.729498, 9.318568, 38.631345], [1.215610, 1.291355, 1.297383, 1.419346, 33.276297], [7.153200, 7.474006, 7.817500, 8.313686, 18.249018]]
### 12
mean: [0.336746]
std: [0.122720]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.038860, 2.080101, 2.168599, 2.325224, 30.307101]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.044603
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],
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[
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [2.247989, 2.673172, 0.919676, 2.311717, 0.775998, -0.051367, 1.211347]
std: [1.873729, 2.338473, 1.617393, 2.184732, 1.779693, 1.948440, 1.682549]
pca: [[0.390100, -0.095734, -0.424503, -0.120426, 0.192187, 0.454685, 0.632675, 0.000000, 0.000000, 0.000000], [0.519822, -0.030641, -0.216476, -0.652418, -0.054587, -0.126290, -0.487243, 0.000000, 0.000000, 0.000000], [0.341260, 0.139090, 0.293263, 0.251395, -0.562366, 0.597762, -0.203513, 0.000000, 0.000000, 0.000000], [0.457649, -0.350260, -0.240725, 0.674025, 0.180888, -0.256367, -0.239108, 0.000000, 0.000000, 0.000000], [0.096919, 0.839702, -0.403564, 0.190192, -0.144721, -0.249742, 0.056170, 0.000000, 0.000000, 0.000000], [0.345458, 0.360411, 0.576895, 0.002744, 0.645083, 0.042514, 0.002620, 0.000000, 0.000000, 0.000000], [0.350672, -0.113456, 0.365118, -0.078477, -0.417171, -0.538601, 0.510455, 0.000000, 0.000000, 0.000000]]
fourier: [[26.437330, 28.452353, 29.263715, 34.609914, 202.319015], [34.849853, 34.995157, 38.460739, 39.861764, 240.585513], [25.191316, 26.145518, 28.086885, 31.545622, 82.770809], [30.865956, 35.805688, 39.196955, 40.258196, 208.054546], [29.745789, 30.039538, 32.320354, 33.283073, 69.839788], [29.374158, 31.199488, 34.443964, 34.683204, 40.409745], [25.247627, 29.788760, 29.927554, 30.747271, 109.021189]]
### 2
mean: [-1.077530, -2.767315, 2.573336, -2.256155, -2.412718, 4.443901, -0.962047]
std: [1.007796, 1.988778, 2.642903, 1.739082, 1.264000, 3.461015, 0.627002]
pca: [[-0.102599, 0.651062, -0.525994, -0.141958, -0.304085, -0.195366, 0.371664, 0.000000, 0.000000, 0.000000], [-0.377174, 0.195286, -0.313212, 0.350966, 0.681480, -0.202913, -0.304525, 0.000000, 0.000000, 0.000000], [0.495707, 0.502454, 0.152649, -0.446579, 0.242618, 0.066163, -0.464585, 0.000000, 0.000000, 0.000000], [-0.300592, 0.439120, 0.750287, 0.247685, -0.129859, -0.269236, 0.056463, 0.000000, 0.000000, 0.000000], [-0.235331, 0.274727, 0.014425, 0.170598, -0.012605, 0.916275, 0.010685, 0.000000, 0.000000, 0.000000], [0.665554, 0.126096, 0.005136, 0.605878, 0.193117, 0.018593, 0.369302, 0.000000, 0.000000, 0.000000], [-0.113092, -0.036340, 0.196878, -0.446876, 0.574402, 0.062355, 0.643121, 0.000000, 0.000000, 0.000000]]
fourier: [[15.394457, 16.071081, 16.550388, 18.404151, 96.977733], [27.616691, 29.345014, 32.881909, 35.066747, 249.058392], [41.055577, 43.482135, 44.187177, 46.260307, 231.600199], [25.143687, 27.020948, 29.502224, 32.077008, 203.053946], [16.986281, 19.547146, 20.805570, 21.335592, 217.144584], [49.968734, 52.030210, 60.513255, 61.981060, 399.951055], [9.123207, 9.292201, 10.343869, 11.613464, 86.584264]]
### 4
mean: [-2.667215, 2.449520, -2.577599, -3.410399, 2.409729, 2.609333, -1.914335]
std: [2.065965, 2.364319, 2.078572, 2.912273, 2.408096, 2.664520, 1.773151]
pca: [[0.329527, 0.857374, -0.243352, -0.175135, -0.224330, -0.110227, -0.062896, 0.000000, 0.000000, 0.000000], [-0.380201, 0.319002, -0.099777, -0.198045, 0.590986, 0.461934, 0.376643, 0.000000, 0.000000, 0.000000], [0.334428, 0.186098, 0.166783, 0.774138, 0.459051, -0.114344, 0.051154, 0.000000, 0.000000, 0.000000], [0.468751, -0.035188, 0.662373, -0.440306, 0.116174, -0.075118, 0.356773, 0.000000, 0.000000, 0.000000], [-0.387285, 0.300561, 0.632159, 0.016781, -0.005525, 0.105848, -0.590366, 0.000000, 0.000000, 0.000000], [-0.428770, 0.189363, 0.240187, 0.295850, -0.469265, -0.203003, 0.611278, 0.000000, 0.000000, 0.000000], [0.285404, -0.032896, 0.083395, 0.221670, -0.394902, 0.838651, 0.045683, 0.000000, 0.000000, 0.000000]]
fourier: [[29.431883, 30.816731, 36.057513, 37.066116, 240.049328], [36.081986, 38.329008, 41.453270, 42.081626, 220.456760], [31.510329, 32.128869, 36.902075, 36.902214, 231.983912], [44.182206, 46.088036, 51.351817, 51.786558, 306.935903], [36.824959, 38.849672, 42.369471, 42.788008, 216.875577], [40.613790, 42.573862, 46.965337, 47.348052, 234.839996], [26.975966, 28.057665, 31.314885, 31.531845, 172.290171]]
### 6
mean: [-2.482103, 2.438859, -1.608191, 0.933153, -1.420146, -2.770294, -0.635694]
std: [2.194096, 2.266539, 1.316379, 0.907933, 0.965311, 2.509579, 0.349812]
pca: [[0.492358, -0.167590, -0.200676, -0.066832, 0.565258, -0.387041, -0.464157, 0.000000, 0.000000, 0.000000], [-0.508614, 0.151472, 0.274590, 0.421406, 0.600087, -0.268972, 0.181479, 0.000000, 0.000000, 0.000000], [0.295371, 0.339164, 0.657297, -0.381036, -0.110576, -0.420444, 0.177472, 0.000000, 0.000000, 0.000000], [-0.203671, 0.516640, -0.416971, 0.154606, -0.378629, -0.530034, -0.263699, 0.000000, 0.000000, 0.000000], [0.216529, 0.612916, 0.205860, 0.246807, 0.126648, 0.538075, -0.410600, 0.000000, 0.000000, 0.000000], [0.563156, -0.004242, -0.084692, 0.655294, -0.130367, -0.102345, 0.467744, 0.000000, 0.000000, 0.000000], [0.078357, 0.437421, -0.478407, -0.398165, 0.362982, 0.141933, 0.513043, 0.000000, 0.000000, 0.000000]]
fourier: [[34.006796, 35.912059, 37.864182, 39.521782, 223.389289], [35.125762, 37.061892, 39.142042, 40.810245, 219.497358], [20.459382, 21.741842, 22.602793, 23.794392, 144.737175], [13.978799, 14.783244, 15.828285, 16.198521, 83.983799], [15.053064, 16.024490, 16.436986, 17.571975, 127.813095], [38.852383, 41.136536, 43.290536, 45.255501, 249.326448], [5.541554, 5.799197, 5.845350, 6.438466, 57.212420]]
### 8
mean: [-1.406526, 0.076341, -0.662157, -0.464756, 0.481648, -1.485002, 0.350589]
std: [1.163947, 0.186295, 0.184068, 0.112829, 0.556098, 1.244860, 0.744964]
pca: [[0.593204, 0.524292, 0.041518, -0.143308, 0.109244, -0.172294, 0.556189, 0.000000, 0.000000, 0.000000], [-0.094940, 0.423028, 0.167362, 0.769146, -0.073344, -0.375924, -0.213870, 0.000000, 0.000000, 0.000000], [0.093807, 0.354991, -0.312463, -0.000976, 0.674463, 0.350801, -0.435415, 0.000000, 0.000000, 0.000000], [0.057490, 0.491457, -0.031031, -0.307917, -0.665118, 0.248599, -0.393961, 0.000000, 0.000000, 0.000000], [-0.283415, 0.192674, 0.823624, -0.340273, 0.278469, -0.040917, -0.095875, 0.000000, 0.000000, 0.000000], [0.634442, -0.313139, 0.436196, 0.301196, -0.064544, 0.420517, -0.193495, 0.000000, 0.000000, 0.000000], [-0.379671, 0.208415, 0.055202, 0.294210, -0.060771, 0.682366, 0.503477, 0.000000, 0.000000, 0.000000]]
fourier: [[18.035294, 19.123089, 20.067192, 20.984134, 126.587371], [2.881746, 3.035964, 3.219086, 3.357620, 6.870724], [2.854502, 3.036732, 3.169528, 3.318751, 59.594135], [1.752094, 1.874526, 1.938494, 2.034391, 41.828028], [8.612507, 9.114688, 9.594039, 10.024877, 43.348343], [19.280659, 20.409105, 21.475257, 22.441485, 133.650210], [11.537859, 12.211861, 12.851972, 13.429658, 31.553006]]
### 10
mean: [-0.609631, -0.402106, 0.379998, -0.359874, -0.429237, -0.369737, 0.202767]
std: [0.158942, 0.207176, 0.108840, 0.261568, 0.500341, 0.077325, 0.445198]
pca: [[0.204820, 0.024065, -0.070684, 0.141788, -0.034693, -0.253840, 0.930984, 0.000000, 0.000000, 0.000000], [0.265052, 0.886585, -0.003569, -0.307263, -0.039250, -0.198940, -0.090410, 0.000000, 0.000000, 0.000000], [0.140244, 0.046517, -0.307189, -0.351010, 0.331434, 0.775570, 0.221895, 0.000000, 0.000000, 0.000000], [0.337015, -0.157102, 0.826900, -0.235037, 0.347480, 0.008605, 0.043789, 0.000000, 0.000000, 0.000000], [0.644766, -0.019656, -0.252275, 0.560621, 0.377631, -0.052562, -0.246138, 0.000000, 0.000000, 0.000000], [0.099257, 0.242067, 0.356362, 0.483576, -0.527690, 0.538065, 0.052357, 0.000000, 0.000000, 0.000000], [-0.573562, 0.357157, 0.161946, 0.398614, 0.587880, 0.046140, 0.103028, 0.000000, 0.000000, 0.000000]]
fourier: [[2.569363, 2.627333, 2.767673, 2.958207, 54.866763], [3.256519, 3.442227, 3.446379, 3.768594, 36.189546], [1.750725, 1.793013, 1.895787, 2.022108, 34.199785], [4.250484, 4.369210, 4.565401, 4.886161, 32.388622], [8.074288, 8.297276, 8.729498, 9.318568, 38.631345], [1.215610, 1.291355, 1.297383, 1.419346, 33.276297], [7.153200, 7.474006, 7.817500, 8.313686, 18.249018]]
### 12
mean: [0.336746]
std: [0.122720]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.038860, 2.080101, 2.168599, 2.325224, 30.307101]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.175004, 0.117947, 0.506443, 0.712592, 0.024085], [-0.545436, 0.273973, 0.647004, 0.778763, -0.025992], [-0.673083, 0.07362, 0.261498, 0.40421, 0.175007], [-0.312737, -0.142687, 0.764545, 0.740126, 0.210298], [0.082976, 0.296615, -0.67087, 0.522204, 0.006649], [-0.847216, -0.026447, 0.15317, 0.444667, -0.054549], [-0.723353, 0.045334, 0.525301, 0.308242, 0.11317]], "network.0.bias": [-0.364876, -0.136781, -0.005752, -0.482667, 0.405576, -0.155104, 0.13103], "network.2.weight": [[0.031454, 0.241503, -0.301819, -0.064429, -0.710969, -0.144369, -0.270788], [-0.423458, -0.255678, -0.575789, 0.01408, 0.08965, -0.207517, -0.002766], [0.313459, 0.651521, -0.065874, 0.155223, -0.715794, 0.379398, 0.340812], [-0.568927, -0.325847, 0.482906, -0.318481, -0.247269, -0.081249, 0.341488], [-0.160436, -0.281154, -0.025629, -0.119716, -0.187693, -0.013064, -0.002879], [0.409264, 0.499462, 0.198561, 0.648481, -0.214741, -0.136426, 0.33732], [-0.373159, 0.100502, -0.283441, -0.098716, 0.082505, 0.343256, 0.044603]], "network.2.bias": [0.030317, -0.358208, -0.191668, -0.004155, -0.708863, 0.144787, -0.194889], "network.4.weight": [[-0.097318, 0.02095, 0.061745, 0.597103, -0.001636, -0.640893, -0.114447], [0.277917, 0.162367, 0.644531, -0.058791, -0.27054, 0.221717, 0.043045], [-0.288428, 0.522056, -0.310472, -0.307066, 0.340939, -0.380742, 0.235753], [-0.598975, -0.288176, -0.596767, 0.574519, -0.02614, -0.416649, 0.156912], [-0.050436, 0.365443, 0.645635, -0.160347, -0.074869, 0.233454, -0.10457], [0.15272, 0.101777, 0.634834, -0.437651, 0.555157, 0.316435, 0.204751], [-0.216906, -0.071037, -0.370426, -0.045633, -0.102931, -0.24853, 0.056284]], "network.4.bias": [0.016828, -0.275603, -0.045117, 0.055433, -0.367505, -0.509463, 0.190951], "network.6.weight": [[0.497177, -0.269685, 0.007842, 0.554221, -0.274175, -0.359727, 0.36742], [0.169858, 0.095357, 0.299959, -0.51132, 0.472788, 0.363278, -0.466073], [-0.375905, -0.202564, -0.110688, 0.141727, -0.351516, -0.014148, -0.154149], [0.006531, 0.153497, -0.133626, -0.422139, 0.345579, -0.10484, -0.41402], [-0.119811, -0.233326, 0.026707, -0.152249, 0.026754, -0.197219, -0.370427], [-0.039028, -0.404541, -0.38622, 0.001979, -0.200185, -0.43054, 0.330563], [0.058446, 0.022967, 0.161342, 0.262836, 0.12703, -0.276677, -0.258151]], "network.6.bias": [-0.166514, 0.05958, -0.185688, -0.009064, -0.355215, -0.105415, -0.25096], "network.8.weight": [[-0.265467, -0.332023, 0.08912, -0.465162, -0.118066, 0.048189, 0.373536], [0.288973, 0.132483, 0.286321, -0.127372, 0.222868, 0.093339, -0.25738], [-0.29485, -0.011833, 0.128323, -0.17701, 0.041703, -0.052524, 0.291706], [0.143327, 0.035482, 0.335409, -0.21718, -0.329788, 0.054559, 0.05691], [-0.409015, 0.22855, -0.281129, 0.044395, 0.05508, 0.060062, -0.010057], [-0.206905, -0.494542, 0.373962, -0.142827, -0.096906, -0.061417, 0.06385], [-0.22045, 0.301123, 0.351312, 0.072315, 0.113753, 0.254733, 0.264601]], "network.8.bias": [-0.152741, -0.126416, -0.464963, -0.345031, -0.119218, -0.140376, -0.454215], "network.10.weight": [[-0.049777, -0.063156, -0.446154, 0.178672, -0.136466, 0.051608, -0.124678], [-0.268946, -0.135524, 0.098332, -0.254552, -0.489785, 0.28671, 0.116672], [0.072205, 0.159, 0.148591, -0.331654, -0.097478, -0.249944, -0.1311], [0.037939, -0.832834, 0.216762, -0.286746, -0.177769, -0.070833, -0.06759], [-0.106267, -0.126592, 0.062454, -0.278668, -0.392371, 0.017298, -0.441518], [0.075019, -0.326659, -0.007017, 0.259875, -0.160102, 0.100442, 0.091016], [0.12413, 0.165371, 0.062382, 0.142048, 0.227201, -0.046199, 0.48301]], "network.10.bias": [-0.47232, -0.193851, 0.474942, -0.140431, -0.000446, -0.294757, -0.166588], "network.12.weight": [[-0.077646, 0.016307, 0.494259, 0.194506, 0.056119, -0.122912, -0.177407]], "network.12.bias": [0.197718]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7179146111011505, "train_acc": 0.44, "val_loss": 0.8195469379425049, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6545760333538055, "train_acc": 0.605, "val_loss": 0.7225658297538757, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6865352094173431, "train_acc": 0.565, "val_loss": 0.675596296787262, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6880216300487518, "train_acc": 0.6, "val_loss": 0.6418925523757935, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.65528804063797, "train_acc": 0.64, "val_loss": 0.6331847310066223, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6583303213119507, "train_acc": 0.655, "val_loss": 0.6198544502258301, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.623236358165741, "train_acc": 0.65, "val_loss": 0.6630260944366455, "val_acc": 0.62}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.6358668208122253, "train_acc": 0.64, "val_loss": 0.5963404774665833, "val_acc": 0.66}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.597167581319809, "train_acc": 0.665, "val_loss": 0.5749290585517883, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.6177216172218323, "train_acc": 0.7, "val_loss": 0.54731684923172, "val_acc": 0.72}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5658564865589142, "train_acc": 0.68, "val_loss": 0.5904113054275513, "val_acc": 0.66}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5648647248744965, "train_acc": 0.67, "val_loss": 0.5131615996360779, "val_acc": 0.72}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.8195469379425049, "final_val_loss": 0.7225658297538757, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.675596296787262, "final_val_loss": 0.5131615996360779, "initial_val_acc": 0.62, "final_val_acc": 0.72, "best_val_acc": 0.76, "best_epoch": 4}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
79
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.94, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8766, "learning_rate": 0.019359730823269184, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
mean: [0.530600, -2.582572, -1.956768, 1.470990, 1.147536, 0.649517, 2.829471, -2.468273]
std: [0.432810, 1.508403, 1.396251, 1.631196, 1.634687, 1.245161, 2.068131, 1.380079]
pca: [[0.013000, -0.185760, 0.117703, 0.002128, 0.227492, 0.107439, 0.904958, 0.263098, 0.000000, 0.000000], [-0.372414, 0.291509, -0.001054, 0.787951, -0.091415, -0.361707, 0.127384, 0.006919, 0.000000, 0.000000], [-0.442794, -0.012990, 0.061511, -0.121278, 0.208822, 0.039477, -0.296040, 0.807755, 0.000000, 0.000000], [0.247874, -0.560785, 0.537446, 0.171923, 0.234400, -0.461669, -0.193866, 0.002661, 0.000000, 0.000000], [0.258921, 0.625118, 0.323562, -0.369534, -0.119637, -0.492242, 0.122017, 0.171571, 0.000000, 0.000000], [0.063868, 0.351058, 0.618647, 0.221393, 0.260762, 0.589775, -0.113163, -0.110924, 0.000000, 0.000000], [0.600650, 0.188228, -0.445424, 0.280731, 0.507850, -0.015643, -0.107812, 0.238321, 0.000000, 0.000000], [-0.414405, 0.128155, -0.087719, -0.265486, 0.707898, -0.229231, 0.016803, -0.423933, 0.000000, 0.000000]]
fourier: [[6.761965, 7.086501, 7.246990, 7.672968, 47.754016], [21.956218, 22.571630, 23.895064, 27.069645, 232.431464], [21.681419, 22.876170, 24.270734, 28.260334, 176.109078], [24.950863, 26.785999, 28.722587, 28.841413, 132.389077], [25.578740, 28.414971, 30.139054, 34.856393, 103.278264], [18.683068, 22.173008, 23.630722, 25.290875, 58.456573], [30.523470, 35.833237, 37.588636, 42.520849, 254.652380], [21.820470, 22.237695, 24.087320, 24.693012, 222.144564]]
### 2
mean: [1.745025, 0.228316, 1.346087, 1.180125, -1.494217, 0.417764, 0.295725, 2.333740]
std: [1.212873, 0.573743, 0.843137, 1.290314, 0.898497, 0.514294, 0.496597, 1.339851]
pca: [[0.434054, -0.490682, -0.282091, 0.272723, -0.025298, -0.544086, -0.234129, 0.255713, 0.000000, 0.000000], [0.113845, 0.301184, -0.262112, 0.521849, 0.511271, 0.029260, 0.524892, 0.132407, 0.000000, 0.000000], [0.230634, -0.424939, 0.115061, 0.294319, -0.497632, 0.358397, 0.483407, -0.237915, 0.000000, 0.000000], [0.393359, 0.610426, 0.250028, 0.254741, -0.334503, -0.321491, -0.136016, -0.333905, 0.000000, 0.000000], [-0.406562, 0.014633, 0.537082, 0.335241, -0.215746, -0.203339, 0.089569, 0.581149, 0.000000, 0.000000], [0.152838, 0.226128, -0.297082, 0.238544, -0.253066, 0.589439, -0.440301, 0.418330, 0.000000, 0.000000], [0.076385, 0.252302, -0.375584, -0.470173, -0.428367, -0.214527, 0.456717, 0.360934, 0.000000, 0.000000], [0.629465, -0.017954, 0.508125, -0.333806, 0.290423, 0.191056, 0.083731, 0.325539, 0.000000, 0.000000]]
fourier: [[20.675125, 21.199999, 21.618408, 22.006539, 157.052235], [9.166982, 9.920183, 9.968006, 10.238459, 20.548395], [13.033296, 13.679848, 14.449761, 16.394076, 121.147796], [23.297899, 23.355017, 23.543857, 23.951912, 106.211194], [14.795799, 15.699711, 16.156481, 17.223670, 134.479504], [7.843301, 7.852764, 8.817670, 8.916774, 37.598760], [7.398057, 7.531779, 8.514493, 8.685036, 26.615273], [20.064410, 22.051280, 22.472051, 27.038074, 210.036620]]
### 4
mean: [1.481773, -1.188851, 0.811216, 1.773825, 1.254472, 0.548274, 2.808182, -1.302580]
std: [1.095729, 0.624809, 0.970283, 1.476275, 1.004089, 0.291682, 1.371136, 0.494693]
pca: [[0.246858, 0.610974, -0.257861, 0.568976, -0.308084, 0.052264, -0.256197, 0.110732, 0.000000, 0.000000], [-0.249454, -0.130865, -0.248836, 0.306243, 0.351607, 0.775804, 0.028627, -0.196532, 0.000000, 0.000000], [-0.037627, 0.637212, 0.233849, -0.318495, 0.197033, 0.264811, 0.487368, 0.299910, 0.000000, 0.000000], [0.606396, -0.231677, 0.179364, -0.281094, -0.215841, 0.505917, -0.285406, 0.288840, 0.000000, 0.000000], [0.375189, -0.310296, 0.045856, 0.442047, -0.131714, -0.041881, 0.736068, 0.067400, 0.000000, 0.000000], [0.064431, -0.143599, -0.568350, -0.036909, 0.410946, -0.187080, -0.034052, 0.667689, 0.000000, 0.000000], [0.571311, 0.155294, 0.086294, 0.030052, 0.659909, -0.172493, -0.103683, -0.406391, 0.000000, 0.000000], [-0.190758, -0.094078, 0.672428, 0.452060, 0.272658, -0.053041, -0.246685, 0.400292, 0.000000, 0.000000]]
fourier: [[17.400404, 17.860617, 20.374477, 23.201254, 133.359540], [9.885455, 10.330634, 10.482840, 10.607034, 106.996567], [16.751233, 16.810416, 17.375683, 17.720371, 73.009477], [23.799567, 23.916131, 26.779501, 27.833419, 159.644258], [16.097833, 16.621652, 17.692114, 18.976756, 112.902519], [4.495508, 4.809970, 5.342170, 5.408300, 49.344668], [22.477244, 22.660993, 22.850364, 23.629927, 252.736398], [7.821912, 8.062050, 8.377580, 9.523425, 117.232250]]
### 6
mean: [1.904358, 0.630561, 0.373616, 2.407199, 2.058505, 0.646404, -0.747150, 2.352730]
std: [1.096218, 0.842718, 0.610449, 1.793043, 0.888524, 1.107059, 0.183106, 1.256686]
pca: [[0.391799, 0.229581, -0.309299, 0.298174, -0.245130, -0.051787, 0.627785, 0.390292, 0.000000, 0.000000], [-0.227659, 0.414553, -0.021916, -0.031941, 0.561947, 0.168937, -0.166365, 0.634677, 0.000000, 0.000000], [-0.181662, 0.262634, 0.081266, 0.503882, -0.357538, 0.677321, -0.189829, -0.122023, 0.000000, 0.000000], [0.670596, -0.011716, -0.194171, -0.454462, 0.042033, 0.501692, -0.228730, -0.012092, 0.000000, 0.000000], [0.200587, 0.503544, 0.647580, -0.244452, -0.373716, -0.245164, -0.114462, 0.119253, 0.000000, 0.000000], [-0.265308, 0.604525, -0.363262, -0.356378, 0.037819, 0.006221, 0.254109, -0.489036, 0.000000, 0.000000], [-0.000702, -0.129024, 0.549587, -0.088311, 0.348626, 0.380690, 0.620397, -0.148829, 0.000000, 0.000000], [0.448710, 0.265839, 0.078627, 0.505053, 0.481552, -0.230761, -0.165199, -0.392803, 0.000000, 0.000000]]
fourier: [[17.287805, 18.615502, 19.608935, 20.439322, 171.392247], [13.981548, 14.374666, 15.732743, 15.848202, 56.750469], [9.974261, 10.416404, 11.044901, 11.435942, 33.625483], [29.124134, 29.856557, 31.565065, 34.004538, 216.647889], [13.718880, 14.193803, 15.754334, 16.365240, 185.265420], [18.632946, 19.217236, 20.088492, 20.630274, 58.176355], [3.152881, 3.201562, 3.578624, 3.803954, 67.243513], [20.183810, 21.363234, 22.573736, 23.540288, 211.745707]]
### 8
mean: [-0.869597, -1.625246, 1.072578, 0.449978, -1.343325, 1.070590, 1.953770, 3.176821]
std: [0.265122, 1.008529, 1.198820, 1.219810, 0.720812, 1.074429, 1.454329, 2.223259]
pca: [[-0.042391, -0.205410, -0.313015, 0.545739, -0.004235, 0.241373, -0.241015, 0.666208, 0.000000, 0.000000], [-0.282558, -0.277952, 0.716278, 0.050333, -0.503044, -0.135393, -0.002779, 0.236481, 0.000000, 0.000000], [-0.273155, 0.704490, -0.064215, -0.186976, -0.277166, 0.310556, 0.330325, 0.328050, 0.000000, 0.000000], [-0.323293, 0.489563, 0.263813, 0.579880, 0.283037, -0.194102, -0.268083, -0.245556, 0.000000, 0.000000], [-0.209685, -0.093729, 0.079882, -0.114243, 0.585073, -0.439671, 0.464572, 0.419960, 0.000000, 0.000000], [0.314598, -0.076539, 0.431604, 0.257042, 0.296384, 0.618542, 0.406036, -0.086684, 0.000000, 0.000000], [0.425876, 0.109688, -0.152807, 0.459015, -0.385925, -0.429258, 0.485778, -0.058078, 0.000000, 0.000000], [0.644145, 0.343361, 0.315014, -0.196462, 0.104434, -0.170645, -0.379801, 0.380887, 0.000000, 0.000000]]
fourier: [[4.153131, 4.285937, 4.791530, 4.796102, 78.263747], [15.774897, 17.053541, 18.325946, 19.148967, 146.272117], [20.396068, 21.478550, 21.873955, 22.092856, 96.532048], [19.724276, 21.773791, 21.780025, 22.838671, 40.498045], [11.413930, 12.129285, 12.779973, 13.758115, 120.899255], [17.679944, 18.326285, 19.029723, 19.823248, 96.353142], [24.088406, 24.444012, 25.497362, 27.656214, 175.839294], [34.807215, 37.667411, 39.496086, 42.647027, 285.913872]]
### 10
mean: [-1.926735]
std: [2.879429]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.870504, 50.469862, 52.472384, 52.674397, 173.406134]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.530600, -2.582572, -1.956768, 1.470990, 1.147536, 0.649517, 2.829471, -2.468273]
std: [0.432810, 1.508403, 1.396251, 1.631196, 1.634687, 1.245161, 2.068131, 1.380079]
pca: [[0.013000, -0.185760, 0.117703, 0.002128, 0.227492, 0.107439, 0.904958, 0.263098, 0.000000, 0.000000], [-0.372414, 0.291509, -0.001054, 0.787951, -0.091415, -0.361707, 0.127384, 0.006919, 0.000000, 0.000000], [-0.442794, -0.012990, 0.061511, -0.121278, 0.208822, 0.039477, -0.296040, 0.807755, 0.000000, 0.000000], [0.247874, -0.560785, 0.537446, 0.171923, 0.234400, -0.461669, -0.193866, 0.002661, 0.000000, 0.000000], [0.258921, 0.625118, 0.323562, -0.369534, -0.119637, -0.492242, 0.122017, 0.171571, 0.000000, 0.000000], [0.063868, 0.351058, 0.618647, 0.221393, 0.260762, 0.589775, -0.113163, -0.110924, 0.000000, 0.000000], [0.600650, 0.188228, -0.445424, 0.280731, 0.507850, -0.015643, -0.107812, 0.238321, 0.000000, 0.000000], [-0.414405, 0.128155, -0.087719, -0.265486, 0.707898, -0.229231, 0.016803, -0.423933, 0.000000, 0.000000]]
fourier: [[6.761965, 7.086501, 7.246990, 7.672968, 47.754016], [21.956218, 22.571630, 23.895064, 27.069645, 232.431464], [21.681419, 22.876170, 24.270734, 28.260334, 176.109078], [24.950863, 26.785999, 28.722587, 28.841413, 132.389077], [25.578740, 28.414971, 30.139054, 34.856393, 103.278264], [18.683068, 22.173008, 23.630722, 25.290875, 58.456573], [30.523470, 35.833237, 37.588636, 42.520849, 254.652380], [21.820470, 22.237695, 24.087320, 24.693012, 222.144564]]
### 2
mean: [1.745025, 0.228316, 1.346087, 1.180125, -1.494217, 0.417764, 0.295725, 2.333740]
std: [1.212873, 0.573743, 0.843137, 1.290314, 0.898497, 0.514294, 0.496597, 1.339851]
pca: [[0.434054, -0.490682, -0.282091, 0.272723, -0.025298, -0.544086, -0.234129, 0.255713, 0.000000, 0.000000], [0.113845, 0.301184, -0.262112, 0.521849, 0.511271, 0.029260, 0.524892, 0.132407, 0.000000, 0.000000], [0.230634, -0.424939, 0.115061, 0.294319, -0.497632, 0.358397, 0.483407, -0.237915, 0.000000, 0.000000], [0.393359, 0.610426, 0.250028, 0.254741, -0.334503, -0.321491, -0.136016, -0.333905, 0.000000, 0.000000], [-0.406562, 0.014633, 0.537082, 0.335241, -0.215746, -0.203339, 0.089569, 0.581149, 0.000000, 0.000000], [0.152838, 0.226128, -0.297082, 0.238544, -0.253066, 0.589439, -0.440301, 0.418330, 0.000000, 0.000000], [0.076385, 0.252302, -0.375584, -0.470173, -0.428367, -0.214527, 0.456717, 0.360934, 0.000000, 0.000000], [0.629465, -0.017954, 0.508125, -0.333806, 0.290423, 0.191056, 0.083731, 0.325539, 0.000000, 0.000000]]
fourier: [[20.675125, 21.199999, 21.618408, 22.006539, 157.052235], [9.166982, 9.920183, 9.968006, 10.238459, 20.548395], [13.033296, 13.679848, 14.449761, 16.394076, 121.147796], [23.297899, 23.355017, 23.543857, 23.951912, 106.211194], [14.795799, 15.699711, 16.156481, 17.223670, 134.479504], [7.843301, 7.852764, 8.817670, 8.916774, 37.598760], [7.398057, 7.531779, 8.514493, 8.685036, 26.615273], [20.064410, 22.051280, 22.472051, 27.038074, 210.036620]]
### 4
mean: [1.481773, -1.188851, 0.811216, 1.773825, 1.254472, 0.548274, 2.808182, -1.302580]
std: [1.095729, 0.624809, 0.970283, 1.476275, 1.004089, 0.291682, 1.371136, 0.494693]
pca: [[0.246858, 0.610974, -0.257861, 0.568976, -0.308084, 0.052264, -0.256197, 0.110732, 0.000000, 0.000000], [-0.249454, -0.130865, -0.248836, 0.306243, 0.351607, 0.775804, 0.028627, -0.196532, 0.000000, 0.000000], [-0.037627, 0.637212, 0.233849, -0.318495, 0.197033, 0.264811, 0.487368, 0.299910, 0.000000, 0.000000], [0.606396, -0.231677, 0.179364, -0.281094, -0.215841, 0.505917, -0.285406, 0.288840, 0.000000, 0.000000], [0.375189, -0.310296, 0.045856, 0.442047, -0.131714, -0.041881, 0.736068, 0.067400, 0.000000, 0.000000], [0.064431, -0.143599, -0.568350, -0.036909, 0.410946, -0.187080, -0.034052, 0.667689, 0.000000, 0.000000], [0.571311, 0.155294, 0.086294, 0.030052, 0.659909, -0.172493, -0.103683, -0.406391, 0.000000, 0.000000], [-0.190758, -0.094078, 0.672428, 0.452060, 0.272658, -0.053041, -0.246685, 0.400292, 0.000000, 0.000000]]
fourier: [[17.400404, 17.860617, 20.374477, 23.201254, 133.359540], [9.885455, 10.330634, 10.482840, 10.607034, 106.996567], [16.751233, 16.810416, 17.375683, 17.720371, 73.009477], [23.799567, 23.916131, 26.779501, 27.833419, 159.644258], [16.097833, 16.621652, 17.692114, 18.976756, 112.902519], [4.495508, 4.809970, 5.342170, 5.408300, 49.344668], [22.477244, 22.660993, 22.850364, 23.629927, 252.736398], [7.821912, 8.062050, 8.377580, 9.523425, 117.232250]]
### 6
mean: [1.904358, 0.630561, 0.373616, 2.407199, 2.058505, 0.646404, -0.747150, 2.352730]
std: [1.096218, 0.842718, 0.610449, 1.793043, 0.888524, 1.107059, 0.183106, 1.256686]
pca: [[0.391799, 0.229581, -0.309299, 0.298174, -0.245130, -0.051787, 0.627785, 0.390292, 0.000000, 0.000000], [-0.227659, 0.414553, -0.021916, -0.031941, 0.561947, 0.168937, -0.166365, 0.634677, 0.000000, 0.000000], [-0.181662, 0.262634, 0.081266, 0.503882, -0.357538, 0.677321, -0.189829, -0.122023, 0.000000, 0.000000], [0.670596, -0.011716, -0.194171, -0.454462, 0.042033, 0.501692, -0.228730, -0.012092, 0.000000, 0.000000], [0.200587, 0.503544, 0.647580, -0.244452, -0.373716, -0.245164, -0.114462, 0.119253, 0.000000, 0.000000], [-0.265308, 0.604525, -0.363262, -0.356378, 0.037819, 0.006221, 0.254109, -0.489036, 0.000000, 0.000000], [-0.000702, -0.129024, 0.549587, -0.088311, 0.348626, 0.380690, 0.620397, -0.148829, 0.000000, 0.000000], [0.448710, 0.265839, 0.078627, 0.505053, 0.481552, -0.230761, -0.165199, -0.392803, 0.000000, 0.000000]]
fourier: [[17.287805, 18.615502, 19.608935, 20.439322, 171.392247], [13.981548, 14.374666, 15.732743, 15.848202, 56.750469], [9.974261, 10.416404, 11.044901, 11.435942, 33.625483], [29.124134, 29.856557, 31.565065, 34.004538, 216.647889], [13.718880, 14.193803, 15.754334, 16.365240, 185.265420], [18.632946, 19.217236, 20.088492, 20.630274, 58.176355], [3.152881, 3.201562, 3.578624, 3.803954, 67.243513], [20.183810, 21.363234, 22.573736, 23.540288, 211.745707]]
### 8
mean: [-0.869597, -1.625246, 1.072578, 0.449978, -1.343325, 1.070590, 1.953770, 3.176821]
std: [0.265122, 1.008529, 1.198820, 1.219810, 0.720812, 1.074429, 1.454329, 2.223259]
pca: [[-0.042391, -0.205410, -0.313015, 0.545739, -0.004235, 0.241373, -0.241015, 0.666208, 0.000000, 0.000000], [-0.282558, -0.277952, 0.716278, 0.050333, -0.503044, -0.135393, -0.002779, 0.236481, 0.000000, 0.000000], [-0.273155, 0.704490, -0.064215, -0.186976, -0.277166, 0.310556, 0.330325, 0.328050, 0.000000, 0.000000], [-0.323293, 0.489563, 0.263813, 0.579880, 0.283037, -0.194102, -0.268083, -0.245556, 0.000000, 0.000000], [-0.209685, -0.093729, 0.079882, -0.114243, 0.585073, -0.439671, 0.464572, 0.419960, 0.000000, 0.000000], [0.314598, -0.076539, 0.431604, 0.257042, 0.296384, 0.618542, 0.406036, -0.086684, 0.000000, 0.000000], [0.425876, 0.109688, -0.152807, 0.459015, -0.385925, -0.429258, 0.485778, -0.058078, 0.000000, 0.000000], [0.644145, 0.343361, 0.315014, -0.196462, 0.104434, -0.170645, -0.379801, 0.380887, 0.000000, 0.000000]]
fourier: [[4.153131, 4.285937, 4.791530, 4.796102, 78.263747], [15.774897, 17.053541, 18.325946, 19.148967, 146.272117], [20.396068, 21.478550, 21.873955, 22.092856, 96.532048], [19.724276, 21.773791, 21.780025, 22.838671, 40.498045], [11.413930, 12.129285, 12.779973, 13.758115, 120.899255], [17.679944, 18.326285, 19.029723, 19.823248, 96.353142], [24.088406, 24.444012, 25.497362, 27.656214, 175.839294], [34.807215, 37.667411, 39.496086, 42.647027, 285.913872]]
### 10
mean: [-1.926735]
std: [2.879429]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.870504, 50.469862, 52.472384, 52.674397, 173.406134]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.180556, -0.0586, 0.100988, 0.069617, 0.067434], [0.086065, -0.049259, -0.374739, -0.630824, 0.112684], [-0.130516, -0.306541, -0.255561, -0.278171, -0.259481], [-0.596705, 0.016768, 0.572715, 0.223402, 0.347387], [0.556785, -0.000757, 0.47763, -0.032434, -0.287465], [0.148188, -0.132005, 0.488416, -0.292611, -0.009336], [0.50921, 0.337263, 0.053047, 0.44299, 0.420665], [0.109748, -0.397313, -0.331461, -0.18324, -0.325959]], "network.0.bias": [0.418664, -0.603335, 0.214624, 0.079146, -0.117594, 0.324403, 0.001622, -0.393507], "network.2.weight": [[0.137088, 0.20024, 0.350118, 0.574249, -0.40922, 0.378632, 0.375495, -0.160174], [-0.372035, -0.240512, 0.170789, -0.258539, -0.108102, 0.191561, 0.249139, -0.114016], [0.2198, -0.093571, -0.073055, 0.441597, -0.259631, 0.337607, 0.130892, -0.222526], [-0.156731, 0.121031, 0.27614, -0.361365, 0.390918, 0.146999, 0.361583, -0.222939], [-0.084932, -0.256199, -0.058564, -0.158169, 0.038673, 0.0453, -0.411694, -0.230875], [-0.010862, 0.144313, -0.101527, -0.223895, -0.052325, 0.104783, 0.256549, -0.284117], [0.23396, 0.057801, 0.043777, -0.251837, 0.178572, -0.266131, 0.145846, -0.24807], [-0.050621, 0.019269, 0.07053, 0.455518, 0.37683, 0.101706, 0.313793, -0.26084]], "network.2.bias": [-0.12843, 0.126524, 0.182167, 0.190608, -0.112742, 0.040355, 0.153724, 0.157632], "network.4.weight": [[0.312138, 0.105859, -0.37126, 0.211607, -0.373969, 0.514075, -0.176955, 0.45532], [-0.16572, 0.299019, -0.024961, -0.063962, -0.157509, -0.004753, 0.023641, -0.341818], [-0.140682, 0.16292, -0.217037, 0.377191, 0.108599, -0.073363, 0.456205, 0.266001], [0.572612, -0.236865, 0.375522, -0.152458, 0.097092, -0.34314, -0.272034, 0.417053], [0.45405, -0.211481, 0.206835, -0.107318, -0.168487, -0.14935, -0.547421, 0.136231], [0.051025, 0.125709, 0.431191, -0.123862, 0.240727, 0.213645, 0.212735, -0.227682], [0.421249, -0.01924, 0.550866, 0.158772, 0.309944, -0.219997, -0.026233, 0.384085], [-0.207878, -0.023856, -0.215159, 0.122841, 0.230646, -0.400164, -0.37435, -0.046849]], "network.4.bias": [-0.072509, -0.100457, 0.090519, -0.191525, 0.333447, 0.340476, 0.361198, -0.361868], "network.6.weight": [[-0.076049, -0.148665, 0.04748, 0.272115, 0.106001, 0.472073, 0.430545, -0.04477], [0.313956, -0.314594, 0.209276, -0.416617, -0.138388, -0.245505, 0.208519, 0.057079], [0.042163, -0.178514, 0.438512, 0.074854, -0.330942, 0.00356, -0.073171, -0.068246], [0.076864, -0.065745, -0.454263, 0.499896, 0.529529, 0.447501, 0.222986, -0.296293], [0.319019, -0.189181, -0.003167, 0.150827, -0.12909, -0.161267, 0.386186, 0.222744], [0.426135, -0.243286, 0.200701, -0.423343, -0.51891, -0.194775, 0.421212, -0.281125], [0.074137, -0.13654, -0.095609, 0.050549, 0.26414, -0.236983, -0.291044, -0.321768], [-0.045381, -0.204252, 0.047931, 0.111356, 0.47547, 0.340317, 0.484327, -0.032352]], "network.6.bias": [-0.113544, 0.461962, 0.448639, 0.219393, 0.491571, 0.196857, -0.260942, 0.018847], "network.8.weight": [[0.206744, 0.155214, 0.167857, -0.065362, -0.298489, -0.215873, -0.21082, -0.076021], [-0.328189, -0.251389, -0.004341, -0.343955, 0.210999, 0.028858, -0.344922, -0.229612], [-0.320197, 0.215699, 0.374391, -0.232318, 0.419187, 0.415498, -0.211846, 0.153798], [0.046885, 0.502579, 0.291229, -0.487982, 0.387137, -0.006974, -0.294201, -0.049882], [0.152344, 0.136301, -0.148957, -0.186313, -0.102595, 0.137453, 0.296558, -0.336587], [0.415436, -0.215755, -0.098032, 0.134052, 0.216576, -0.361434, -0.197216, -0.079723], [0.008457, 0.134599, 0.001063, 0.418772, 0.135368, -0.456916, -0.294264, 0.368962], [0.0638, -0.157439, -0.285043, 0.501202, 0.453216, -0.30546, -0.231363, 0.55173]], "network.8.bias": [-0.331334, 0.093427, 0.409919, 0.407878, -0.303706, 0.147444, 0.014032, 0.058354], "network.10.weight": [[0.017567, 0.307865, 0.552071, 0.529535, 0.033535, -0.269712, -0.326535, -0.564881]], "network.10.bias": [-0.139566]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801854968070984, "train_acc": 0.545, "val_loss": 0.6367703080177307, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6493808627128601, "train_acc": 0.545, "val_loss": 0.5821906328201294, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5817636847496033, "train_acc": 0.65, "val_loss": 0.4635984003543854, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4449861943721771, "train_acc": 0.91, "val_loss": 0.311891108751297, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.29590801894664764, "train_acc": 0.92, "val_loss": 0.22687073051929474, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.17283937335014343, "train_acc": 0.935, "val_loss": 0.2093854695558548, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1714400351047516, "train_acc": 0.945, "val_loss": 0.34896308183670044, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1974143087863922, "train_acc": 0.945, "val_loss": 0.4236660301685333, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.16292577609419823, "train_acc": 0.95, "val_loss": 0.20394814014434814, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.14189551025629044, "train_acc": 0.945, "val_loss": 0.20792056620121002, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.13110889494419098, "train_acc": 0.95, "val_loss": 0.2747862935066223, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1218881830573082, "train_acc": 0.96, "val_loss": 0.26432064175605774, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6367703080177307, "final_val_loss": 0.5821906328201294, "initial_val_acc": 0.6, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.4635984003543854, "final_val_loss": 0.26432064175605774, "initial_val_acc": 0.92, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
80
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4872, "learning_rate": 0.02525648142243843, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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[
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"network.2.bias": [
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"network.8.weight": [
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.161554, 1.037520, 1.140633, 0.865575, 2.322123, 1.183410, 2.264347]
std: [0.884212, 0.949818, 1.605872, 1.497898, 1.652353, 0.970039, 1.872116]
pca: [[0.043659, 0.009974, 0.692450, -0.224410, 0.377812, -0.548546, -0.156530, 0.000000, 0.000000, 0.000000], [0.025330, 0.357093, -0.416204, 0.048109, 0.769229, 0.082479, -0.312709, 0.000000, 0.000000, 0.000000], [0.502882, 0.169533, 0.310315, 0.707094, -0.107713, 0.155241, -0.293920, 0.000000, 0.000000, 0.000000], [0.175664, 0.759244, -0.192548, -0.132114, -0.359718, -0.442007, 0.115733, 0.000000, 0.000000, 0.000000], [0.578811, -0.099672, -0.029914, -0.021191, 0.313295, 0.018321, 0.745124, 0.000000, 0.000000, 0.000000], [0.007814, 0.421380, 0.412151, -0.422509, -0.004035, 0.687320, 0.039623, 0.000000, 0.000000, 0.000000], [0.615322, -0.282306, -0.207734, -0.500926, -0.162403, 0.008875, -0.470264, 0.000000, 0.000000, 0.000000]]
fourier: [[14.395068, 14.539904, 16.137359, 16.213843, 19.425221], [13.952331, 16.733991, 17.422175, 23.115401, 93.376778], [26.927266, 27.589415, 27.803153, 28.428081, 102.656930], [23.008228, 24.338543, 24.662797, 26.380919, 77.901722], [27.852201, 28.337125, 28.640748, 28.743688, 208.991072], [13.444521, 13.548208, 16.073578, 21.868589, 106.506886], [30.110996, 30.453316, 31.870147, 35.724153, 203.791241]]
### 2
mean: [-0.483359, 0.438018, -1.774070, 0.311240, 0.668012, 2.244370, -2.329058]
std: [0.869497, 1.668065, 1.013012, 2.313166, 1.700144, 1.155846, 1.582831]
pca: [[-0.225417, 0.133934, 0.311405, 0.624674, -0.321781, -0.282380, -0.510663, 0.000000, 0.000000, 0.000000], [0.471507, 0.016657, 0.471009, 0.053454, -0.228770, -0.452843, 0.543409, 0.000000, 0.000000, 0.000000], [-0.045235, 0.493935, 0.064400, 0.422467, -0.086158, 0.627137, 0.413076, 0.000000, 0.000000, 0.000000], [0.651590, 0.153118, -0.454574, 0.407784, 0.359488, -0.135277, -0.177560, 0.000000, 0.000000, 0.000000], [0.478892, 0.015951, 0.533511, -0.256769, 0.031094, 0.450504, -0.464675, 0.000000, 0.000000, 0.000000], [-0.168923, -0.477952, 0.368453, 0.360767, 0.669682, 0.075686, 0.151374, 0.000000, 0.000000, 0.000000], [-0.205862, 0.696904, 0.223609, -0.257052, 0.507962, -0.308077, -0.054154, 0.000000, 0.000000, 0.000000]]
fourier: [[14.863049, 15.406517, 15.759401, 16.304099, 43.502296], [27.988848, 28.293658, 30.488151, 32.511421, 39.421641], [15.496274, 16.204427, 16.258724, 21.527557, 159.666245], [37.642149, 37.820885, 42.235745, 44.015213, 45.806887], [28.536744, 28.571997, 31.199547, 33.177263, 60.121113], [19.572678, 19.780848, 20.989157, 21.804200, 201.993247], [24.512266, 24.734018, 25.501967, 34.115271, 209.615202]]
### 4
mean: [1.010802, -1.036716, -1.132424, -0.914711, -1.237296, 0.331524, 0.631786]
std: [1.818831, 0.481008, 0.951079, 0.292145, 0.850445, 3.305335, 2.984484]
pca: [[0.364021, -0.323295, 0.208030, -0.063545, 0.206079, 0.494107, 0.655015, 0.000000, 0.000000, 0.000000], [0.035042, 0.626835, -0.562053, 0.098485, 0.065545, 0.521392, 0.064041, 0.000000, 0.000000, 0.000000], [-0.186446, 0.317463, -0.036093, -0.239199, -0.434509, -0.391864, 0.680868, 0.000000, 0.000000, 0.000000], [-0.015543, 0.377901, 0.656614, 0.566457, -0.267274, 0.182628, -0.012102, 0.000000, 0.000000, 0.000000], [-0.160147, 0.426199, 0.351054, -0.288631, 0.744897, -0.168810, 0.052848, 0.000000, 0.000000, 0.000000], [0.665774, 0.263375, 0.198697, -0.535158, -0.282853, 0.024389, -0.284436, 0.000000, 0.000000, 0.000000], [0.601959, 0.089193, -0.213673, 0.488336, 0.241093, -0.517693, 0.139391, 0.000000, 0.000000, 0.000000]]
fourier: [[32.642524, 33.007565, 33.048148, 33.335708, 90.972155], [7.264159, 7.308331, 8.475009, 9.209738, 93.304474], [16.332189, 16.998156, 17.155936, 17.297823, 101.918122], [4.240679, 4.397362, 4.811839, 4.983959, 82.323959], [15.147696, 15.215508, 15.215582, 15.543261, 111.356665], [53.881055, 57.926483, 59.536038, 63.403454, 64.639727], [52.598298, 53.857899, 56.313996, 56.860784, 57.985898]]
### 6
mean: [1.304979, -0.262486, 0.665762, -0.392042, -0.558621, 1.412238, -1.071672]
std: [2.504805, 0.049864, 1.454785, 0.636015, 0.910982, 2.934427, 1.750355]
pca: [[0.542753, 0.462092, -0.034775, -0.502943, 0.099813, -0.068735, -0.472274, 0.000000, 0.000000, 0.000000], [0.008377, -0.271260, 0.581348, -0.501914, 0.412518, -0.204421, 0.352854, 0.000000, 0.000000, 0.000000], [0.315286, 0.124912, -0.249996, -0.253350, -0.172212, 0.544902, 0.657064, 0.000000, 0.000000, 0.000000], [-0.136719, 0.701731, 0.326929, 0.140238, -0.311063, -0.381988, 0.345915, 0.000000, 0.000000, 0.000000], [-0.197190, 0.396772, -0.265537, 0.198032, 0.817358, 0.096140, 0.129013, 0.000000, 0.000000, 0.000000], [0.635989, -0.052808, 0.425845, 0.604540, 0.150929, 0.151473, 0.013928, 0.000000, 0.000000, 0.000000], [-0.379324, 0.211290, 0.489480, -0.081193, -0.050943, 0.691714, -0.290212, 0.000000, 0.000000, 0.000000]]
fourier: [[44.522749, 45.003542, 45.376224, 45.819258, 117.448140], [0.759483, 0.778873, 0.833120, 0.834318, 23.623730], [25.900275, 26.210143, 26.368102, 26.599502, 59.918539], [11.350241, 11.493635, 11.507414, 11.730620, 35.283817], [16.241862, 16.533873, 16.619384, 16.625940, 50.275876], [52.237567, 53.024620, 53.222068, 53.654033, 127.101416], [31.224292, 31.707431, 31.751153, 31.974368, 96.450435]]
### 8
mean: [-0.639411, 1.426439, 0.556847, 0.407542, -0.260987, -0.498694, -0.265811]
std: [0.796510, 2.321031, 0.052011, 0.274473, 1.051314, 0.930446, 0.198443]
pca: [[-0.279688, -0.316648, 0.426133, -0.513000, 0.077820, -0.179527, 0.581777, 0.000000, 0.000000, 0.000000], [0.815048, -0.168393, 0.226370, 0.212385, -0.044395, 0.226107, 0.397360, 0.000000, 0.000000, 0.000000], [-0.017801, -0.527697, -0.412282, -0.367149, -0.320560, 0.550169, -0.104881, 0.000000, 0.000000, 0.000000], [-0.096378, 0.111957, -0.179129, -0.010803, 0.828752, 0.478708, 0.173149, 0.000000, 0.000000, 0.000000], [-0.369172, -0.017888, 0.619786, 0.363308, -0.188938, 0.543332, -0.127895, 0.000000, 0.000000, 0.000000], [-0.326725, -0.283424, -0.387984, 0.622633, -0.107090, -0.125199, 0.497569, 0.000000, 0.000000, 0.000000], [-0.069490, 0.706916, -0.174460, -0.192728, -0.393977, 0.271872, 0.445789, 0.000000, 0.000000, 0.000000]]
fourier: [[14.161983, 14.308776, 14.329447, 14.561722, 57.546963], [41.262594, 41.754797, 41.929772, 42.451806, 128.379480], [0.902907, 0.906321, 0.928895, 0.953617, 50.116240], [4.878561, 4.938293, 4.980376, 5.021607, 36.678758], [18.691920, 18.891390, 18.918659, 19.222901, 23.488799], [16.541095, 16.766325, 16.800944, 17.017307, 44.882490], [3.515986, 3.531149, 3.625139, 3.655113, 23.922963]]
### 10
mean: [-0.071427]
std: [1.245553]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.167630, 22.301150, 22.605984, 22.655372, 23.025956]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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],
[
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],
[
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-0.165034,
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],
[
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],
[
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],
[
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0.06915
],
[
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0.123848
]
],
"network.0.bias": [
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-0.114745,
-0.211686,
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0.598009,
0.012149
],
"network.2.weight": [
[
0.24994,
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0.092396,
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0.363196,
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],
[
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],
[
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],
[
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],
[
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0.487132,
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],
[
-0.020116,
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0.738709,
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],
[
-0.200046,
-0.041743,
-0.343852,
-0.53452,
0.011646,
-0.05536,
-0.440907
]
],
"network.2.bias": [
-0.072512,
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-0.416846,
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0.509299,
-0.123188
],
"network.4.weight": [
[
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0.291368,
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[
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],
[
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],
[
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[
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],
[
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[
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0.516399,
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],
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"network.6.weight": [
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[
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0.304996,
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],
[
-0.453822,
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[
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0.274517,
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0.026075,
0.138017,
-0.290105
],
[
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0.146154,
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[
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]
],
"network.6.bias": [
0.004203,
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-0.136369
],
"network.8.weight": [
[
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0.373433,
-0.256969,
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],
[
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0.441696,
-0.233145
],
[
0.180174,
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[
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],
[
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
-0.186487
]
}
## Activation Signature
### 0
mean: [0.161554, 1.037520, 1.140633, 0.865575, 2.322123, 1.183410, 2.264347]
std: [0.884212, 0.949818, 1.605872, 1.497898, 1.652353, 0.970039, 1.872116]
pca: [[0.043659, 0.009974, 0.692450, -0.224410, 0.377812, -0.548546, -0.156530, 0.000000, 0.000000, 0.000000], [0.025330, 0.357093, -0.416204, 0.048109, 0.769229, 0.082479, -0.312709, 0.000000, 0.000000, 0.000000], [0.502882, 0.169533, 0.310315, 0.707094, -0.107713, 0.155241, -0.293920, 0.000000, 0.000000, 0.000000], [0.175664, 0.759244, -0.192548, -0.132114, -0.359718, -0.442007, 0.115733, 0.000000, 0.000000, 0.000000], [0.578811, -0.099672, -0.029914, -0.021191, 0.313295, 0.018321, 0.745124, 0.000000, 0.000000, 0.000000], [0.007814, 0.421380, 0.412151, -0.422509, -0.004035, 0.687320, 0.039623, 0.000000, 0.000000, 0.000000], [0.615322, -0.282306, -0.207734, -0.500926, -0.162403, 0.008875, -0.470264, 0.000000, 0.000000, 0.000000]]
fourier: [[14.395068, 14.539904, 16.137359, 16.213843, 19.425221], [13.952331, 16.733991, 17.422175, 23.115401, 93.376778], [26.927266, 27.589415, 27.803153, 28.428081, 102.656930], [23.008228, 24.338543, 24.662797, 26.380919, 77.901722], [27.852201, 28.337125, 28.640748, 28.743688, 208.991072], [13.444521, 13.548208, 16.073578, 21.868589, 106.506886], [30.110996, 30.453316, 31.870147, 35.724153, 203.791241]]
### 2
mean: [-0.483359, 0.438018, -1.774070, 0.311240, 0.668012, 2.244370, -2.329058]
std: [0.869497, 1.668065, 1.013012, 2.313166, 1.700144, 1.155846, 1.582831]
pca: [[-0.225417, 0.133934, 0.311405, 0.624674, -0.321781, -0.282380, -0.510663, 0.000000, 0.000000, 0.000000], [0.471507, 0.016657, 0.471009, 0.053454, -0.228770, -0.452843, 0.543409, 0.000000, 0.000000, 0.000000], [-0.045235, 0.493935, 0.064400, 0.422467, -0.086158, 0.627137, 0.413076, 0.000000, 0.000000, 0.000000], [0.651590, 0.153118, -0.454574, 0.407784, 0.359488, -0.135277, -0.177560, 0.000000, 0.000000, 0.000000], [0.478892, 0.015951, 0.533511, -0.256769, 0.031094, 0.450504, -0.464675, 0.000000, 0.000000, 0.000000], [-0.168923, -0.477952, 0.368453, 0.360767, 0.669682, 0.075686, 0.151374, 0.000000, 0.000000, 0.000000], [-0.205862, 0.696904, 0.223609, -0.257052, 0.507962, -0.308077, -0.054154, 0.000000, 0.000000, 0.000000]]
fourier: [[14.863049, 15.406517, 15.759401, 16.304099, 43.502296], [27.988848, 28.293658, 30.488151, 32.511421, 39.421641], [15.496274, 16.204427, 16.258724, 21.527557, 159.666245], [37.642149, 37.820885, 42.235745, 44.015213, 45.806887], [28.536744, 28.571997, 31.199547, 33.177263, 60.121113], [19.572678, 19.780848, 20.989157, 21.804200, 201.993247], [24.512266, 24.734018, 25.501967, 34.115271, 209.615202]]
### 4
mean: [1.010802, -1.036716, -1.132424, -0.914711, -1.237296, 0.331524, 0.631786]
std: [1.818831, 0.481008, 0.951079, 0.292145, 0.850445, 3.305335, 2.984484]
pca: [[0.364021, -0.323295, 0.208030, -0.063545, 0.206079, 0.494107, 0.655015, 0.000000, 0.000000, 0.000000], [0.035042, 0.626835, -0.562053, 0.098485, 0.065545, 0.521392, 0.064041, 0.000000, 0.000000, 0.000000], [-0.186446, 0.317463, -0.036093, -0.239199, -0.434509, -0.391864, 0.680868, 0.000000, 0.000000, 0.000000], [-0.015543, 0.377901, 0.656614, 0.566457, -0.267274, 0.182628, -0.012102, 0.000000, 0.000000, 0.000000], [-0.160147, 0.426199, 0.351054, -0.288631, 0.744897, -0.168810, 0.052848, 0.000000, 0.000000, 0.000000], [0.665774, 0.263375, 0.198697, -0.535158, -0.282853, 0.024389, -0.284436, 0.000000, 0.000000, 0.000000], [0.601959, 0.089193, -0.213673, 0.488336, 0.241093, -0.517693, 0.139391, 0.000000, 0.000000, 0.000000]]
fourier: [[32.642524, 33.007565, 33.048148, 33.335708, 90.972155], [7.264159, 7.308331, 8.475009, 9.209738, 93.304474], [16.332189, 16.998156, 17.155936, 17.297823, 101.918122], [4.240679, 4.397362, 4.811839, 4.983959, 82.323959], [15.147696, 15.215508, 15.215582, 15.543261, 111.356665], [53.881055, 57.926483, 59.536038, 63.403454, 64.639727], [52.598298, 53.857899, 56.313996, 56.860784, 57.985898]]
### 6
mean: [1.304979, -0.262486, 0.665762, -0.392042, -0.558621, 1.412238, -1.071672]
std: [2.504805, 0.049864, 1.454785, 0.636015, 0.910982, 2.934427, 1.750355]
pca: [[0.542753, 0.462092, -0.034775, -0.502943, 0.099813, -0.068735, -0.472274, 0.000000, 0.000000, 0.000000], [0.008377, -0.271260, 0.581348, -0.501914, 0.412518, -0.204421, 0.352854, 0.000000, 0.000000, 0.000000], [0.315286, 0.124912, -0.249996, -0.253350, -0.172212, 0.544902, 0.657064, 0.000000, 0.000000, 0.000000], [-0.136719, 0.701731, 0.326929, 0.140238, -0.311063, -0.381988, 0.345915, 0.000000, 0.000000, 0.000000], [-0.197190, 0.396772, -0.265537, 0.198032, 0.817358, 0.096140, 0.129013, 0.000000, 0.000000, 0.000000], [0.635989, -0.052808, 0.425845, 0.604540, 0.150929, 0.151473, 0.013928, 0.000000, 0.000000, 0.000000], [-0.379324, 0.211290, 0.489480, -0.081193, -0.050943, 0.691714, -0.290212, 0.000000, 0.000000, 0.000000]]
fourier: [[44.522749, 45.003542, 45.376224, 45.819258, 117.448140], [0.759483, 0.778873, 0.833120, 0.834318, 23.623730], [25.900275, 26.210143, 26.368102, 26.599502, 59.918539], [11.350241, 11.493635, 11.507414, 11.730620, 35.283817], [16.241862, 16.533873, 16.619384, 16.625940, 50.275876], [52.237567, 53.024620, 53.222068, 53.654033, 127.101416], [31.224292, 31.707431, 31.751153, 31.974368, 96.450435]]
### 8
mean: [-0.639411, 1.426439, 0.556847, 0.407542, -0.260987, -0.498694, -0.265811]
std: [0.796510, 2.321031, 0.052011, 0.274473, 1.051314, 0.930446, 0.198443]
pca: [[-0.279688, -0.316648, 0.426133, -0.513000, 0.077820, -0.179527, 0.581777, 0.000000, 0.000000, 0.000000], [0.815048, -0.168393, 0.226370, 0.212385, -0.044395, 0.226107, 0.397360, 0.000000, 0.000000, 0.000000], [-0.017801, -0.527697, -0.412282, -0.367149, -0.320560, 0.550169, -0.104881, 0.000000, 0.000000, 0.000000], [-0.096378, 0.111957, -0.179129, -0.010803, 0.828752, 0.478708, 0.173149, 0.000000, 0.000000, 0.000000], [-0.369172, -0.017888, 0.619786, 0.363308, -0.188938, 0.543332, -0.127895, 0.000000, 0.000000, 0.000000], [-0.326725, -0.283424, -0.387984, 0.622633, -0.107090, -0.125199, 0.497569, 0.000000, 0.000000, 0.000000], [-0.069490, 0.706916, -0.174460, -0.192728, -0.393977, 0.271872, 0.445789, 0.000000, 0.000000, 0.000000]]
fourier: [[14.161983, 14.308776, 14.329447, 14.561722, 57.546963], [41.262594, 41.754797, 41.929772, 42.451806, 128.379480], [0.902907, 0.906321, 0.928895, 0.953617, 50.116240], [4.878561, 4.938293, 4.980376, 5.021607, 36.678758], [18.691920, 18.891390, 18.918659, 19.222901, 23.488799], [16.541095, 16.766325, 16.800944, 17.017307, 44.882490], [3.515986, 3.531149, 3.625139, 3.655113, 23.922963]]
### 10
mean: [-0.071427]
std: [1.245553]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.167630, 22.301150, 22.605984, 22.655372, 23.025956]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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"fourier": [21.167630427023166, 22.301150483047003, 22.605983996491844, 22.655372104160843, 23.025956112698687]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.060672, 0.297712, -0.136039, 0.208539, -0.190038], [-0.175861, -0.303469, 0.442363, 0.174114, -0.039935], [0.035439, 0.515087, 0.520724, -0.165034, -0.373909], [-0.602783, 0.274086, 0.627864, -0.107615, 0.200418], [0.395235, 0.302269, 0.471171, 0.080505, -0.160816], [-0.440677, 0.321308, 0.107606, 0.111097, 0.06915], [0.555751, 0.354233, 0.335815, 0.028389, 0.123848]], "network.0.bias": [-0.234089, 0.561186, -0.114745, -0.211686, 0.320951, 0.598009, 0.012149], "network.2.weight": [[0.24994, 0.264677, 0.092396, -0.253139, -0.280203, 0.363196, -0.199504], [-0.155421, -0.254141, 0.476006, -0.548439, 0.246745, -0.584596, 0.317876], [-0.069891, -0.294072, -0.372371, -0.390551, 0.227954, -0.021381, -0.26342], [-0.311012, -0.704316, -0.237262, -0.363512, 0.493088, -0.699296, 0.724161], [-0.52893, -0.289318, 0.487132, -0.631493, 0.436887, -0.441376, 0.193139], [-0.020116, 0.635998, 0.324233, 0.025754, 0.082634, 0.738709, -0.229171], [-0.200046, -0.041743, -0.343852, -0.53452, 0.011646, -0.05536, -0.440907]], "network.2.bias": [-0.072512, 0.187814, -0.416846, 0.003161, 0.348755, 0.509299, -0.123188], "network.4.weight": [[-0.163056, 0.291368, -0.002026, 0.567961, 0.210633, -0.020398, 0.000298], [0.22677, 0.137324, 0.230275, -0.268035, 0.10768, -0.46867, 0.215905], [-0.042065, -0.195649, 0.250186, -0.339249, -0.061717, -0.101827, -0.373232], [-0.145123, -0.340604, 0.200814, 0.085902, 0.037366, -0.249926, 0.135629], [-0.269393, 0.061076, -0.098111, -0.259155, -0.371985, -0.202141, -0.367364], [-0.409317, 0.478653, 0.016072, 0.715694, 0.543672, -0.652225, -0.36104], [0.121765, 0.446869, 0.08835, 0.677435, 0.516399, -0.4674, 0.213665]], "network.4.bias": [0.082478, 0.057956, -0.347763, -0.192256, -0.206531, 0.252672, 0.16939], "network.6.weight": [[0.026389, 0.261618, 0.194474, 0.124175, 0.281649, 0.616496, 0.310496], [0.118328, -0.315703, -0.212921, -0.069151, 0.281509, -0.221686, 0.163496], [0.105063, -0.140902, -0.298385, -0.063347, 0.144932, 0.304996, 0.172771], [-0.453822, -0.165092, -0.006736, -0.251448, -0.356808, 0.293756, -0.232993], [-0.295415, 0.193163, 0.274517, -0.031863, 0.026075, 0.138017, -0.290105], [0.329298, 0.09161, -0.227036, 0.199866, 0.146154, 0.336034, 0.557772], [-0.327229, -0.036653, 0.020781, -0.376689, 0.280247, -0.17599, -0.266174]], "network.6.bias": [0.004203, -0.294612, -0.097156, -0.02521, -0.05985, -0.139448, -0.136369], "network.8.weight": [[0.180763, -0.363902, -0.357183, 0.297713, 0.373433, -0.256969, 0.038723], [0.326797, 0.301581, 0.160063, -0.269146, -0.224707, 0.441696, -0.233145], [0.180174, -0.25017, 0.188743, -0.229806, 0.2177, -0.266737, 0.257154], [-0.11659, 0.104512, 0.071924, 0.117162, 0.147822, -0.029307, 0.168381], [0.048647, 0.315964, -0.483451, 0.153028, 0.1115, -0.168492, 0.187455], [-0.012389, -0.276822, 0.077189, 0.252307, 0.060049, -0.349514, 0.315913], [-0.412008, -0.357801, 0.117453, 0.113688, 0.322733, 0.231111, 0.24048]], "network.8.bias": [-0.227724, 0.219032, 0.58447, 0.551098, 0.282542, -0.013743, -0.161429], "network.10.weight": [[-0.16193, 0.46809, -0.485527, -0.492795, -0.324744, -0.012067, -0.221992]], "network.10.bias": [-0.186487]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909658908843994, "train_acc": 0.57, "val_loss": 0.713081955909729, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6795890629291534, "train_acc": 0.57, "val_loss": 0.7016735076904297, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6725043654441833, "train_acc": 0.57, "val_loss": 0.686604917049408, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6653770804405212, "train_acc": 0.57, "val_loss": 0.6670303344726562, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6472179889678955, "train_acc": 0.505, "val_loss": 0.6205036044120789, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5958786308765411, "train_acc": 0.94, "val_loss": 0.5503937005996704, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5127703249454498, "train_acc": 0.935, "val_loss": 0.45395514369010925, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4238399267196655, "train_acc": 0.905, "val_loss": 0.39154288172721863, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3632443696260452, "train_acc": 0.915, "val_loss": 0.37080809473991394, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3354930281639099, "train_acc": 0.935, "val_loss": 0.3419557809829712, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3083285689353943, "train_acc": 0.915, "val_loss": 0.3387032747268677, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.27592626214027405, "train_acc": 0.935, "val_loss": 0.3145996034145355, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.23487503081560135, "train_acc": 0.94, "val_loss": 0.28441134095191956, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1939649134874344, "train_acc": 0.93, "val_loss": 0.294780433177948, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.713081955909729, "final_val_loss": 0.6670303344726562, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6205036044120789, "final_val_loss": 0.294780433177948, "initial_val_acc": 0.9, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.45999999999999996, "first_improvement_epoch": 3}}
|
81
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.78, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7384, "learning_rate": 0.0908679592276421, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.017403,
-0.430166,
-0.112399,
-0.22144,
-0.896743
],
[
1.16593,
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0.234815,
-0.085038,
-0.325501
],
[
-0.001442,
-0.186465,
-0.47063,
-0.531635,
-0.63505
],
[
1.16357,
0.752104,
0.039497,
0.87981,
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],
[
-0.078658,
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-0.603129,
0.020265,
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]
],
"network.0.bias": [
-0.715106,
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],
"network.2.weight": [
[
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],
[
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0.239656,
0.111178,
0.264255
],
[
-0.203478,
1.087776,
-0.362569,
0.240285,
-0.750103
],
[
-0.222968,
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-0.037313,
-0.310748,
-0.01611
],
[
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]
],
"network.2.bias": [
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0.123684
],
"network.4.weight": [
[
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],
[
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0.599806
],
[
1.120115,
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0.45104
],
[
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0.289992,
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],
[
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.6.bias": [
0.0909,
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],
"network.8.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.10.bias": [
-0.342818,
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0.390939,
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],
"network.12.weight": [
[
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0.381531,
0.37998,
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]
],
"network.12.bias": [
-0.065484
]
}
## Activation Signature
### 0
mean: [-3.292945, 2.272988, -3.529415, 4.927841, -2.654536]
std: [2.071052, 2.792423, 2.196352, 3.790053, 2.224112]
pca: [[-0.304427, 0.456096, 0.084021, 0.780178, -0.289072, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.427824, 0.509280, 0.626764, -0.048988, 0.402948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340272, 0.457474, 0.151515, -0.611785, -0.526968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.725981, 0.296340, -0.491009, 0.022540, -0.378862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285407, 0.485294, -0.579708, -0.118879, 0.576922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.824707, 35.579609, 38.991208, 44.565455, 296.365073], [45.234549, 46.289286, 50.445738, 54.958420, 204.568899], [37.411138, 38.012595, 38.414233, 39.971738, 317.647303], [58.682887, 58.798568, 72.653350, 77.327379, 443.505652], [40.209733, 40.401651, 43.536864, 44.153554, 238.908211]]
### 2
mean: [-0.938438, -0.794850, 4.058730, -1.346910, -2.913469]
std: [1.525942, 1.486014, 3.730700, 1.335894, 2.760319]
pca: [[-0.292982, -0.015132, 0.859510, -0.395450, 0.137092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.262677, 0.661370, 0.092144, 0.527320, 0.455010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.715674, -0.251245, 0.429757, 0.465928, 0.151346, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237070, -0.581324, -0.210114, 0.001026, 0.749474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526090, -0.401620, 0.154637, 0.590307, -0.435380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.581575, 25.090625, 27.317329, 28.744750, 84.459396], [25.175197, 26.360502, 26.928253, 29.080628, 71.536504], [61.172395, 62.927926, 64.585683, 68.947183, 365.285690], [20.091117, 21.837667, 25.698104, 26.209544, 121.221859], [42.157694, 46.975422, 49.970394, 50.632106, 262.212228]]
### 4
mean: [-0.145080, -2.112548, 2.620200, 0.478616, -1.290449]
std: [0.797512, 2.208706, 2.766143, 0.153622, 0.771488]
pca: [[-0.215844, 0.003260, -0.110935, 0.922031, -0.301586, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.596145, 0.441415, -0.607676, -0.132102, 0.251083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.747232, 0.513864, -0.326143, 0.193857, 0.183407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024726, -0.342951, 0.077862, 0.295246, 0.887998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197626, 0.650746, 0.711331, 0.087507, 0.154353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.099116, 13.134171, 13.266175, 13.654559, 14.212084], [36.403430, 36.696460, 38.370805, 41.244270, 190.129299], [44.590110, 47.186412, 47.803848, 50.676952, 235.818007], [2.126115, 2.549141, 2.964264, 3.347819, 43.075425], [12.236614, 13.527296, 15.269422, 16.222954, 116.140368]]
### 6
mean: [2.012746, 0.020669, 1.541017, -1.487001, 0.068010]
std: [2.176788, 0.408781, 2.089711, 1.049216, 1.001910]
pca: [[0.645843, -0.197545, 0.305880, 0.468916, -0.480019, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.120917, 0.181690, 0.190890, 0.571404, 0.767741, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.619885, 0.497450, 0.143801, -0.564772, 0.169232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310354, 0.808690, 0.127215, 0.287702, -0.388259, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296124, -0.162878, 0.912763, -0.227761, 0.027752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.406409, 36.746319, 38.298852, 39.924158, 181.147141], [6.632398, 6.802034, 6.828514, 7.300281, 7.421879], [33.945442, 35.042429, 36.657268, 39.268503, 138.691555], [16.753596, 17.999804, 18.127678, 18.951653, 133.830093], [15.846512, 16.157166, 16.211337, 17.995069, 19.625313]]
### 8
mean: [-1.171796, 1.852105, -0.761990, 2.016597, -1.380136]
std: [0.509762, 2.751390, 1.658542, 3.102958, 0.851205]
pca: [[-0.109516, 0.716021, 0.331262, 0.555269, -0.239295, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601595, 0.118520, 0.588460, -0.170305, 0.498746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362442, -0.424880, 0.173767, 0.605381, 0.539843, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.678476, -0.069825, -0.512472, 0.521346, -0.019119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185460, 0.536534, -0.501157, -0.156155, 0.634188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.419999, 8.448889, 8.669733, 9.312573, 105.461606], [44.771555, 46.510432, 48.110442, 52.750142, 166.689462], [26.978416, 28.017573, 28.890330, 32.231509, 68.579089], [50.326111, 52.692390, 54.266539, 59.238799, 181.493743], [13.830345, 14.323015, 15.119199, 15.434229, 124.212237]]
### 10
mean: [-1.797381, -1.327654, -0.664340, -1.184607, 3.139053]
std: [2.149975, 1.626147, 1.113083, 2.196165, 4.848967]
pca: [[-0.354231, 0.334333, 0.330819, -0.085968, 0.803686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268024, 0.038047, 0.203993, 0.933358, -0.118092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182855, -0.508743, 0.780365, -0.229494, -0.214725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361391, 0.704365, 0.156271, -0.235193, -0.541785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.799152, 0.363076, 0.464279, 0.116060, 0.022498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.474780, 36.983126, 38.420013, 39.327154, 161.764302], [26.486804, 27.919064, 28.920230, 30.232877, 119.488891], [18.197216, 18.841209, 19.434531, 21.783172, 59.790612], [36.786753, 37.847845, 39.318686, 39.425557, 106.614618], [78.626221, 83.000523, 86.051946, 91.119466, 282.514774]]
### 12
mean: [-1.440861]
std: [2.091807]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.033499, 36.025263, 37.454215, 39.325674, 129.677526]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.017403,
-0.430166,
-0.112399,
-0.22144,
-0.896743
],
[
1.16593,
0.34819,
0.234815,
-0.085038,
-0.325501
],
[
-0.001442,
-0.186465,
-0.47063,
-0.531635,
-0.63505
],
[
1.16357,
0.752104,
0.039497,
0.87981,
-0.055629
],
[
-0.078658,
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0.020265,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
0.245033,
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0.239656,
0.111178,
0.264255
],
[
-0.203478,
1.087776,
-0.362569,
0.240285,
-0.750103
],
[
-0.222968,
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-0.037313,
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-0.01611
],
[
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]
],
"network.2.bias": [
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0.179164,
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0.123684
],
"network.4.weight": [
[
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],
[
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0.599806
],
[
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0.45104
],
[
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0.289992,
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],
[
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0.043858
]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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0.751311,
0.313873,
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],
[
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0.130412,
0.265381,
0.204659
],
[
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0.677051,
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],
[
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],
[
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]
],
"network.6.bias": [
0.0909,
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0.516891
],
"network.8.weight": [
[
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],
[
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0.482047,
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[
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[
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0.118229,
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[
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]
],
"network.8.bias": [
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0.165446,
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],
"network.10.weight": [
[
-0.31268,
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-0.400321,
-0.288478
],
[
-0.427598,
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0.035149
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[
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0.564234,
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],
[
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],
[
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]
],
"network.10.bias": [
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0.390939,
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],
"network.12.weight": [
[
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0.381531,
0.37998,
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]
],
"network.12.bias": [
-0.065484
]
}
## Activation Signature
### 0
mean: [-3.292945, 2.272988, -3.529415, 4.927841, -2.654536]
std: [2.071052, 2.792423, 2.196352, 3.790053, 2.224112]
pca: [[-0.304427, 0.456096, 0.084021, 0.780178, -0.289072, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.427824, 0.509280, 0.626764, -0.048988, 0.402948, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340272, 0.457474, 0.151515, -0.611785, -0.526968, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.725981, 0.296340, -0.491009, 0.022540, -0.378862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285407, 0.485294, -0.579708, -0.118879, 0.576922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.824707, 35.579609, 38.991208, 44.565455, 296.365073], [45.234549, 46.289286, 50.445738, 54.958420, 204.568899], [37.411138, 38.012595, 38.414233, 39.971738, 317.647303], [58.682887, 58.798568, 72.653350, 77.327379, 443.505652], [40.209733, 40.401651, 43.536864, 44.153554, 238.908211]]
### 2
mean: [-0.938438, -0.794850, 4.058730, -1.346910, -2.913469]
std: [1.525942, 1.486014, 3.730700, 1.335894, 2.760319]
pca: [[-0.292982, -0.015132, 0.859510, -0.395450, 0.137092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.262677, 0.661370, 0.092144, 0.527320, 0.455010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.715674, -0.251245, 0.429757, 0.465928, 0.151346, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.237070, -0.581324, -0.210114, 0.001026, 0.749474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526090, -0.401620, 0.154637, 0.590307, -0.435380, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.581575, 25.090625, 27.317329, 28.744750, 84.459396], [25.175197, 26.360502, 26.928253, 29.080628, 71.536504], [61.172395, 62.927926, 64.585683, 68.947183, 365.285690], [20.091117, 21.837667, 25.698104, 26.209544, 121.221859], [42.157694, 46.975422, 49.970394, 50.632106, 262.212228]]
### 4
mean: [-0.145080, -2.112548, 2.620200, 0.478616, -1.290449]
std: [0.797512, 2.208706, 2.766143, 0.153622, 0.771488]
pca: [[-0.215844, 0.003260, -0.110935, 0.922031, -0.301586, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.596145, 0.441415, -0.607676, -0.132102, 0.251083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.747232, 0.513864, -0.326143, 0.193857, 0.183407, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.024726, -0.342951, 0.077862, 0.295246, 0.887998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197626, 0.650746, 0.711331, 0.087507, 0.154353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.099116, 13.134171, 13.266175, 13.654559, 14.212084], [36.403430, 36.696460, 38.370805, 41.244270, 190.129299], [44.590110, 47.186412, 47.803848, 50.676952, 235.818007], [2.126115, 2.549141, 2.964264, 3.347819, 43.075425], [12.236614, 13.527296, 15.269422, 16.222954, 116.140368]]
### 6
mean: [2.012746, 0.020669, 1.541017, -1.487001, 0.068010]
std: [2.176788, 0.408781, 2.089711, 1.049216, 1.001910]
pca: [[0.645843, -0.197545, 0.305880, 0.468916, -0.480019, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.120917, 0.181690, 0.190890, 0.571404, 0.767741, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.619885, 0.497450, 0.143801, -0.564772, 0.169232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310354, 0.808690, 0.127215, 0.287702, -0.388259, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296124, -0.162878, 0.912763, -0.227761, 0.027752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.406409, 36.746319, 38.298852, 39.924158, 181.147141], [6.632398, 6.802034, 6.828514, 7.300281, 7.421879], [33.945442, 35.042429, 36.657268, 39.268503, 138.691555], [16.753596, 17.999804, 18.127678, 18.951653, 133.830093], [15.846512, 16.157166, 16.211337, 17.995069, 19.625313]]
### 8
mean: [-1.171796, 1.852105, -0.761990, 2.016597, -1.380136]
std: [0.509762, 2.751390, 1.658542, 3.102958, 0.851205]
pca: [[-0.109516, 0.716021, 0.331262, 0.555269, -0.239295, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.601595, 0.118520, 0.588460, -0.170305, 0.498746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.362442, -0.424880, 0.173767, 0.605381, 0.539843, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.678476, -0.069825, -0.512472, 0.521346, -0.019119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185460, 0.536534, -0.501157, -0.156155, 0.634188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.419999, 8.448889, 8.669733, 9.312573, 105.461606], [44.771555, 46.510432, 48.110442, 52.750142, 166.689462], [26.978416, 28.017573, 28.890330, 32.231509, 68.579089], [50.326111, 52.692390, 54.266539, 59.238799, 181.493743], [13.830345, 14.323015, 15.119199, 15.434229, 124.212237]]
### 10
mean: [-1.797381, -1.327654, -0.664340, -1.184607, 3.139053]
std: [2.149975, 1.626147, 1.113083, 2.196165, 4.848967]
pca: [[-0.354231, 0.334333, 0.330819, -0.085968, 0.803686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268024, 0.038047, 0.203993, 0.933358, -0.118092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.182855, -0.508743, 0.780365, -0.229494, -0.214725, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361391, 0.704365, 0.156271, -0.235193, -0.541785, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.799152, 0.363076, 0.464279, 0.116060, 0.022498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.474780, 36.983126, 38.420013, 39.327154, 161.764302], [26.486804, 27.919064, 28.920230, 30.232877, 119.488891], [18.197216, 18.841209, 19.434531, 21.783172, 59.790612], [36.786753, 37.847845, 39.318686, 39.425557, 106.614618], [78.626221, 83.000523, 86.051946, 91.119466, 282.514774]]
### 12
mean: [-1.440861]
std: [2.091807]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.033499, 36.025263, 37.454215, 39.325674, 129.677526]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -3.292945384979248, "std": 2.071052312850952, "pca": [-0.30442720651626587, 0.4560962915420532, 0.08402056992053986, 0.7801783680915833, -0.2890717685222626, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.824707482470814, 35.57960945257556, 38.99120785387917, 44.56545475462341, 296.3650732636452]}, "1": {"mean": 2.2729876041412354, "std": 2.7924234867095947, "pca": [0.42782431840896606, 0.5092803239822388, 0.6267639398574829, -0.0489884652197361, 0.4029478430747986, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [45.234549398480176, 46.289286168139114, 50.44573816742595, 54.958420257994945, 204.5688992291689]}, "2": {"mean": -3.529414653778076, "std": 2.196352243423462, "pca": [-0.34027165174484253, 0.4574737250804901, 0.1515149176120758, -0.6117854714393616, -0.5269675254821777, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.41113765284989, 38.01259489931917, 38.414233009715154, 39.97173771319939, 317.6473034322262]}, "3": {"mean": 4.927840709686279, "std": 3.790053129196167, "pca": [0.7259811162948608, 0.29633983969688416, -0.4910087287425995, 0.02254020981490612, -0.3788621127605438, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [58.68288697731839, 58.79856809120399, 72.6533499150201, 77.3273791322361, 443.50565180182457]}, "4": {"mean": -2.6545355319976807, "std": 2.2241122722625732, "pca": [-0.28540682792663574, 0.4852939248085022, -0.5797078013420105, -0.11887926608324051, 0.5769222974777222, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.2097327881809, 40.401651225141045, 43.536864330463686, 44.15355414749102, 238.9082107245922]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.9384377598762512, "std": 1.5259424448013306, "pca": [-0.292981892824173, -0.015132010914385319, 0.8595099449157715, -0.39545026421546936, 0.1370924860239029, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [24.581575093807796, 25.090625175810274, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.017403, -0.430166, -0.112399, -0.22144, -0.896743], [1.16593, 0.34819, 0.234815, -0.085038, -0.325501], [-0.001442, -0.186465, -0.47063, -0.531635, -0.63505], [1.16357, 0.752104, 0.039497, 0.87981, -0.055629], [-0.078658, -0.085715, -0.603129, 0.020265, -0.849388]], "network.0.bias": [-0.715106, 0.280884, -0.281455, 0.208744, -0.136467], "network.2.weight": [[-0.677876, -0.406557, -0.772558, -0.119075, -0.060883], [0.245033, -0.65315, 0.239656, 0.111178, 0.264255], [-0.203478, 1.087776, -0.362569, 0.240285, -0.750103], [-0.222968, -0.06378, -0.037313, -0.310748, -0.01611], [-0.327337, -0.542353, -0.274625, -0.372855, -0.025585]], "network.2.bias": [0.514058, 0.179164, 0.346318, 0.308989, 0.123684], "network.4.weight": [[-0.25218, -0.160618, -0.215748, -0.005225, -0.22884], [-0.532899, -0.825548, -0.61011, 0.529095, 0.599806], [1.120115, -0.32606, 0.739027, 0.586984, 0.45104], [-0.286933, 0.289992, -0.020907, -0.443651, -0.286385], [0.87464, -0.296477, -0.186701, 0.517313, 0.043858]], "network.4.bias": [0.723559, 0.445438, -0.299899, 0.518459, -0.521741], "network.6.weight": [[-0.40732, 0.73058, 0.751311, 0.313873, -0.122177], [-0.231755, 0.442556, 0.130412, 0.265381, 0.204659], [-1.04624, -0.012889, 0.677051, -0.597653, -0.300551], [-0.450858, -0.484466, -0.403897, -0.099002, 0.99198], [0.146595, -0.357324, -0.310354, 0.67507, -0.662458]], "network.6.bias": [0.0909, -0.318038, 0.106199, -0.315356, 0.516891], "network.8.weight": [[-0.330133, 0.672728, -0.024696, -0.141565, -0.379398], [0.846224, -0.008825, 0.282638, 0.482047, -0.900147], [-0.24273, 0.066268, -0.427239, -0.704351, 0.720123], [0.429967, 0.341843, 0.857372, 0.118229, -0.94022], [-0.574685, 0.169765, 0.171241, 0.091902, -0.073366]], "network.8.bias": [-0.441594, 0.13147, 0.042013, 0.165446, -0.510994], "network.10.weight": [[-0.31268, -0.346129, -0.131264, -0.400321, -0.288478], [-0.427598, -0.168383, 0.101751, -0.378767, 0.035149], [-0.590842, 0.18799, 0.564234, -0.489888, -0.455642], [-0.396959, -0.632385, -0.478946, -0.17568, -0.252303], [0.127742, 0.677021, -0.63168, 0.966905, 0.372052]], "network.10.bias": [-0.342818, -0.272626, -0.211232, 0.390939, -0.046964], "network.12.weight": [[-0.010743, -0.034937, 0.381531, 0.37998, -0.430979]], "network.12.bias": [-0.065484]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6908726394176483, "train_acc": 0.445, "val_loss": 0.7261789441108704, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6669046580791473, "train_acc": 0.595, "val_loss": 0.7484025359153748, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.674164891242981, "train_acc": 0.595, "val_loss": 0.765255331993103, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6491374969482422, "train_acc": 0.595, "val_loss": 0.7112720012664795, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6069360673427582, "train_acc": 0.595, "val_loss": 0.610166609287262, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.9333879053592682, "train_acc": 0.515, "val_loss": 0.5207870006561279, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5363219976425171, "train_acc": 0.725, "val_loss": 0.6631008982658386, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6432590484619141, "train_acc": 0.61, "val_loss": 0.6658679842948914, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.656591534614563, "train_acc": 0.605, "val_loss": 0.6517448425292969, "val_acc": 0.6}], "summary": {"total_epochs": 9, "degraded_epochs": 5, "improved_epochs": 4, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7261789441108704, "final_val_loss": 0.610166609287262, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5207870006561279, "final_val_loss": 0.6517448425292969, "initial_val_acc": 0.78, "final_val_acc": 0.6, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.34, "first_improvement_epoch": 4}}
|
82
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.48, "improved_accuracy": 0.72, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6718, "learning_rate": 0.09314226785800217, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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]
],
"network.4.bias": [
0.613071,
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0.511808,
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],
"network.6.weight": [
[
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-0.281765,
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],
[
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],
[
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[
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[
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"network.8.weight": [
[
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]
],
"network.8.bias": [
0.155312
]
}
## Activation Signature
### 0
mean: [0.189274, -1.846893, -0.106716, -1.817065, 0.294114, -3.264830, 0.242964]
std: [2.641935, 1.167755, 3.054213, 1.128321, 3.064581, 2.101930, 2.958062]
pca: [[0.540615, 0.024928, -0.056500, 0.282064, -0.132521, 0.765540, 0.144044, 0.000000, 0.000000, 0.000000], [-0.038989, -0.149484, 0.395907, -0.467735, 0.240424, 0.139454, 0.723439, 0.000000, 0.000000, 0.000000], [0.618122, -0.129936, 0.061808, -0.071777, 0.686526, -0.234110, -0.256796, 0.000000, 0.000000, 0.000000], [-0.052556, -0.122523, 0.380406, -0.556495, -0.173321, 0.358552, -0.607644, 0.000000, 0.000000, 0.000000], [-0.478589, -0.563938, -0.259395, 0.191564, 0.455004, 0.363787, -0.097848, 0.000000, 0.000000, 0.000000], [-0.059185, -0.208707, 0.771557, 0.583440, -0.051561, -0.108326, -0.053318, 0.000000, 0.000000, 0.000000], [-0.298040, 0.763906, 0.170147, 0.098622, 0.462157, 0.258958, -0.091076, 0.000000, 0.000000, 0.000000]]
fourier: [[35.439595, 35.602174, 42.351965, 49.395349, 51.092370], [20.323733, 20.324926, 20.593105, 21.800907, 166.220410], [42.787431, 45.615070, 48.213486, 48.567360, 57.726448], [18.833050, 19.293312, 19.902408, 22.385994, 163.535870], [47.157998, 47.760176, 53.166632, 59.740709, 64.803687], [32.881112, 33.419137, 33.595091, 40.629203, 293.834712], [42.927380, 46.545142, 52.151549, 52.850076, 62.712041]]
### 2
mean: [1.214879, 1.110520, -2.086951, -1.416663, -1.842479, -2.235390, 0.285244]
std: [2.751992, 1.687776, 1.194424, 0.795812, 1.074702, 1.293116, 2.534927]
pca: [[0.667360, -0.065879, -0.123166, -0.290319, 0.403088, 0.457659, 0.280897, 0.000000, 0.000000, 0.000000], [-0.295869, 0.537117, 0.512828, -0.041217, 0.092801, 0.195894, 0.558828, 0.000000, 0.000000, 0.000000], [-0.176857, -0.425504, 0.536941, -0.519276, -0.152039, 0.334523, -0.307723, 0.000000, 0.000000, 0.000000], [-0.070157, -0.339930, 0.179045, 0.770990, 0.123518, 0.487544, -0.009279, 0.000000, 0.000000, 0.000000], [-0.186672, -0.350991, 0.192526, -0.035789, 0.753753, -0.474740, 0.100450, 0.000000, 0.000000, 0.000000], [-0.151108, -0.531621, -0.211224, -0.085733, -0.373899, -0.071106, 0.705495, 0.000000, 0.000000, 0.000000], [0.610910, -0.068869, 0.565502, 0.203252, -0.287385, -0.414892, 0.078838, 0.000000, 0.000000, 0.000000]]
fourier: [[41.219112, 42.662882, 53.482350, 59.314215, 109.339140], [22.123603, 26.518653, 30.339032, 33.265271, 99.946817], [16.941553, 18.678953, 20.641147, 22.319744, 187.825634], [12.723727, 13.797178, 14.133706, 15.716028, 127.499713], [16.476342, 16.698098, 17.231750, 22.162851, 165.823144], [19.000239, 20.691251, 22.372751, 25.251984, 201.185105], [34.903283, 36.613150, 37.743756, 49.639493, 56.781686]]
### 4
mean: [2.272471, -2.447564, 2.432154, -0.373197, 0.212352, -2.721521, -2.442021]
std: [2.705044, 2.248287, 3.680623, 2.472695, 1.888242, 2.527812, 2.406591]
pca: [[0.403433, -0.044485, 0.319035, 0.350649, -0.062271, -0.352676, 0.694454, 0.000000, 0.000000, 0.000000], [-0.313487, 0.473821, -0.156263, 0.296417, 0.363107, 0.504043, 0.423122, 0.000000, 0.000000, 0.000000], [0.548505, 0.107394, 0.261092, 0.223932, 0.607800, 0.114390, -0.432190, 0.000000, 0.000000, 0.000000], [-0.342752, -0.540233, 0.651101, 0.086273, 0.037548, 0.396459, 0.026538, 0.000000, 0.000000, 0.000000], [0.245790, 0.545743, 0.446575, -0.296889, -0.489756, 0.336159, -0.036279, 0.000000, 0.000000, 0.000000], [-0.369599, 0.297472, 0.384062, -0.447236, 0.423990, -0.492511, 0.071050, 0.000000, 0.000000, 0.000000], [-0.351587, 0.289491, 0.186453, 0.665906, -0.271691, -0.309396, -0.380585, 0.000000, 0.000000, 0.000000]]
fourier: [[39.736047, 44.581167, 52.270169, 59.214000, 204.522348], [34.420173, 34.696258, 40.085133, 48.900233, 220.280752], [52.689310, 60.661222, 71.175755, 79.753157, 218.893829], [33.587712, 37.997926, 41.166053, 44.640590, 48.965312], [25.770561, 27.475349, 32.626818, 32.729792, 36.176941], [38.409993, 40.603695, 47.305989, 55.240425, 244.936891], [36.633365, 38.652794, 45.068440, 52.707407, 219.781926]]
### 6
mean: [-1.441525, -2.349525, -0.835329, 2.186460, 3.432884, -1.162957, -1.813412]
std: [0.840457, 2.971527, 0.540337, 2.453404, 5.193033, 1.677191, 2.143794]
pca: [[0.054932, 0.796114, 0.088085, 0.258541, -0.179435, 0.459800, 0.212060, 0.000000, 0.000000, 0.000000], [-0.422817, -0.096134, 0.462976, 0.730321, 0.152195, -0.179640, -0.093990, 0.000000, 0.000000, 0.000000], [-0.076580, 0.024035, 0.782383, -0.490001, -0.250373, 0.113698, -0.256359, 0.000000, 0.000000, 0.000000], [0.348068, -0.216067, 0.374013, -0.018369, 0.292853, 0.026615, 0.778119, 0.000000, 0.000000, 0.000000], [0.739226, 0.075655, 0.145934, 0.208317, 0.353349, 0.007851, -0.508145, 0.000000, 0.000000, 0.000000], [-0.235144, -0.310462, -0.067001, -0.034685, 0.402780, 0.814697, -0.129094, 0.000000, 0.000000, 0.000000], [-0.299072, 0.455618, 0.009980, -0.338747, 0.713515, -0.280864, -0.011430, 0.000000, 0.000000, 0.000000]]
fourier: [[12.515242, 12.704533, 12.788847, 13.860508, 129.737223], [43.149297, 48.611851, 57.632517, 64.166733, 211.457243], [7.724330, 8.680827, 10.326029, 11.982800, 75.179624], [35.659084, 39.994645, 47.554320, 53.886734, 196.781403], [74.370447, 84.815075, 101.262252, 112.121221, 308.959584], [26.164241, 26.966312, 32.433497, 34.436156, 104.666092], [31.335854, 34.329954, 40.633431, 47.696046, 163.207061]]
### 8
mean: [-3.261781]
std: [4.783951]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.071871, 78.292072, 92.901074, 104.279329, 293.560229]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.196849,
0.333192,
-0.775942,
-0.028769
],
[
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],
[
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0.187636
],
[
-0.086742,
-0.418113,
-0.284585,
0.026757,
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],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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0.86583,
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],
[
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],
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[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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],
[
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[
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[
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0.032402,
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]
],
"network.4.bias": [
0.613071,
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],
"network.6.weight": [
[
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],
[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.189274, -1.846893, -0.106716, -1.817065, 0.294114, -3.264830, 0.242964]
std: [2.641935, 1.167755, 3.054213, 1.128321, 3.064581, 2.101930, 2.958062]
pca: [[0.540615, 0.024928, -0.056500, 0.282064, -0.132521, 0.765540, 0.144044, 0.000000, 0.000000, 0.000000], [-0.038989, -0.149484, 0.395907, -0.467735, 0.240424, 0.139454, 0.723439, 0.000000, 0.000000, 0.000000], [0.618122, -0.129936, 0.061808, -0.071777, 0.686526, -0.234110, -0.256796, 0.000000, 0.000000, 0.000000], [-0.052556, -0.122523, 0.380406, -0.556495, -0.173321, 0.358552, -0.607644, 0.000000, 0.000000, 0.000000], [-0.478589, -0.563938, -0.259395, 0.191564, 0.455004, 0.363787, -0.097848, 0.000000, 0.000000, 0.000000], [-0.059185, -0.208707, 0.771557, 0.583440, -0.051561, -0.108326, -0.053318, 0.000000, 0.000000, 0.000000], [-0.298040, 0.763906, 0.170147, 0.098622, 0.462157, 0.258958, -0.091076, 0.000000, 0.000000, 0.000000]]
fourier: [[35.439595, 35.602174, 42.351965, 49.395349, 51.092370], [20.323733, 20.324926, 20.593105, 21.800907, 166.220410], [42.787431, 45.615070, 48.213486, 48.567360, 57.726448], [18.833050, 19.293312, 19.902408, 22.385994, 163.535870], [47.157998, 47.760176, 53.166632, 59.740709, 64.803687], [32.881112, 33.419137, 33.595091, 40.629203, 293.834712], [42.927380, 46.545142, 52.151549, 52.850076, 62.712041]]
### 2
mean: [1.214879, 1.110520, -2.086951, -1.416663, -1.842479, -2.235390, 0.285244]
std: [2.751992, 1.687776, 1.194424, 0.795812, 1.074702, 1.293116, 2.534927]
pca: [[0.667360, -0.065879, -0.123166, -0.290319, 0.403088, 0.457659, 0.280897, 0.000000, 0.000000, 0.000000], [-0.295869, 0.537117, 0.512828, -0.041217, 0.092801, 0.195894, 0.558828, 0.000000, 0.000000, 0.000000], [-0.176857, -0.425504, 0.536941, -0.519276, -0.152039, 0.334523, -0.307723, 0.000000, 0.000000, 0.000000], [-0.070157, -0.339930, 0.179045, 0.770990, 0.123518, 0.487544, -0.009279, 0.000000, 0.000000, 0.000000], [-0.186672, -0.350991, 0.192526, -0.035789, 0.753753, -0.474740, 0.100450, 0.000000, 0.000000, 0.000000], [-0.151108, -0.531621, -0.211224, -0.085733, -0.373899, -0.071106, 0.705495, 0.000000, 0.000000, 0.000000], [0.610910, -0.068869, 0.565502, 0.203252, -0.287385, -0.414892, 0.078838, 0.000000, 0.000000, 0.000000]]
fourier: [[41.219112, 42.662882, 53.482350, 59.314215, 109.339140], [22.123603, 26.518653, 30.339032, 33.265271, 99.946817], [16.941553, 18.678953, 20.641147, 22.319744, 187.825634], [12.723727, 13.797178, 14.133706, 15.716028, 127.499713], [16.476342, 16.698098, 17.231750, 22.162851, 165.823144], [19.000239, 20.691251, 22.372751, 25.251984, 201.185105], [34.903283, 36.613150, 37.743756, 49.639493, 56.781686]]
### 4
mean: [2.272471, -2.447564, 2.432154, -0.373197, 0.212352, -2.721521, -2.442021]
std: [2.705044, 2.248287, 3.680623, 2.472695, 1.888242, 2.527812, 2.406591]
pca: [[0.403433, -0.044485, 0.319035, 0.350649, -0.062271, -0.352676, 0.694454, 0.000000, 0.000000, 0.000000], [-0.313487, 0.473821, -0.156263, 0.296417, 0.363107, 0.504043, 0.423122, 0.000000, 0.000000, 0.000000], [0.548505, 0.107394, 0.261092, 0.223932, 0.607800, 0.114390, -0.432190, 0.000000, 0.000000, 0.000000], [-0.342752, -0.540233, 0.651101, 0.086273, 0.037548, 0.396459, 0.026538, 0.000000, 0.000000, 0.000000], [0.245790, 0.545743, 0.446575, -0.296889, -0.489756, 0.336159, -0.036279, 0.000000, 0.000000, 0.000000], [-0.369599, 0.297472, 0.384062, -0.447236, 0.423990, -0.492511, 0.071050, 0.000000, 0.000000, 0.000000], [-0.351587, 0.289491, 0.186453, 0.665906, -0.271691, -0.309396, -0.380585, 0.000000, 0.000000, 0.000000]]
fourier: [[39.736047, 44.581167, 52.270169, 59.214000, 204.522348], [34.420173, 34.696258, 40.085133, 48.900233, 220.280752], [52.689310, 60.661222, 71.175755, 79.753157, 218.893829], [33.587712, 37.997926, 41.166053, 44.640590, 48.965312], [25.770561, 27.475349, 32.626818, 32.729792, 36.176941], [38.409993, 40.603695, 47.305989, 55.240425, 244.936891], [36.633365, 38.652794, 45.068440, 52.707407, 219.781926]]
### 6
mean: [-1.441525, -2.349525, -0.835329, 2.186460, 3.432884, -1.162957, -1.813412]
std: [0.840457, 2.971527, 0.540337, 2.453404, 5.193033, 1.677191, 2.143794]
pca: [[0.054932, 0.796114, 0.088085, 0.258541, -0.179435, 0.459800, 0.212060, 0.000000, 0.000000, 0.000000], [-0.422817, -0.096134, 0.462976, 0.730321, 0.152195, -0.179640, -0.093990, 0.000000, 0.000000, 0.000000], [-0.076580, 0.024035, 0.782383, -0.490001, -0.250373, 0.113698, -0.256359, 0.000000, 0.000000, 0.000000], [0.348068, -0.216067, 0.374013, -0.018369, 0.292853, 0.026615, 0.778119, 0.000000, 0.000000, 0.000000], [0.739226, 0.075655, 0.145934, 0.208317, 0.353349, 0.007851, -0.508145, 0.000000, 0.000000, 0.000000], [-0.235144, -0.310462, -0.067001, -0.034685, 0.402780, 0.814697, -0.129094, 0.000000, 0.000000, 0.000000], [-0.299072, 0.455618, 0.009980, -0.338747, 0.713515, -0.280864, -0.011430, 0.000000, 0.000000, 0.000000]]
fourier: [[12.515242, 12.704533, 12.788847, 13.860508, 129.737223], [43.149297, 48.611851, 57.632517, 64.166733, 211.457243], [7.724330, 8.680827, 10.326029, 11.982800, 75.179624], [35.659084, 39.994645, 47.554320, 53.886734, 196.781403], [74.370447, 84.815075, 101.262252, 112.121221, 308.959584], [26.164241, 26.966312, 32.433497, 34.436156, 104.666092], [31.335854, 34.329954, 40.633431, 47.696046, 163.207061]]
### 8
mean: [-3.261781]
std: [4.783951]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.071871, 78.292072, 92.901074, 104.279329, 293.560229]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7236104905605316, "train_acc": 0.405, "val_loss": 0.9656438231468201, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7459802329540253, "train_acc": 0.58, "val_loss": 0.6909915208816528, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6926662027835846, "train_acc": 0.51, "val_loss": 0.6650679707527161, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6592996716499329, "train_acc": 0.615, "val_loss": 0.6228514313697815, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6156734526157379, "train_acc": 0.635, "val_loss": 0.6228784918785095, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.612474113702774, "train_acc": 0.63, "val_loss": 0.5937032103538513, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6041401624679565, "train_acc": 0.635, "val_loss": 0.5848530530929565, "val_acc": 0.64}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.592301994562149, "train_acc": 0.645, "val_loss": 0.6127298474311829, "val_acc": 0.62}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5937527418136597, "train_acc": 0.645, "val_loss": 0.6012500524520874, "val_acc": 0.62}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5825677812099457, "train_acc": 0.65, "val_loss": 0.5581457018852234, "val_acc": 0.7}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.5775876343250275, "train_acc": 0.675, "val_loss": 0.5248866677284241, "val_acc": 0.72}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5584804713726044, "train_acc": 0.675, "val_loss": 0.5299120545387268, "val_acc": 0.68}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.9656438231468201, "final_val_loss": 0.6909915208816528, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6650679707527161, "final_val_loss": 0.5299120545387268, "initial_val_acc": 0.66, "final_val_acc": 0.68, "best_val_acc": 0.72, "best_epoch": 10}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
83
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6959, "learning_rate": 0.022836103578526626, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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],
[
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],
[
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],
[
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[
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[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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"network.8.weight": [
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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[
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[
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[
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[
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.566408, 0.496158, 1.761704, 0.280810, 0.749274, 1.894832]
std: [1.189515, 1.416846, 1.658967, 0.932206, 1.657590, 1.854640]
pca: [[-0.413100, -0.140381, 0.253954, 0.565557, -0.604559, 0.244546, 0.000000, 0.000000, 0.000000, 0.000000], [0.427289, -0.331867, -0.328242, 0.588149, -0.006284, -0.503575, 0.000000, 0.000000, 0.000000, 0.000000], [0.564188, 0.387309, -0.328927, 0.120308, -0.265771, 0.581707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323713, 0.039656, -0.233557, 0.458942, 0.696421, 0.378759, 0.000000, 0.000000, 0.000000, 0.000000], [0.420056, 0.142224, 0.813088, 0.257233, 0.274157, 0.029718, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217320, 0.835673, -0.062542, 0.207258, -0.060583, -0.451537, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.749186, 18.837489, 20.198354, 22.195481, 140.976726], [24.135640, 24.335086, 26.820924, 29.459745, 44.654232], [27.501064, 27.921519, 28.513104, 32.635390, 158.553400], [13.915875, 15.429361, 15.457553, 15.921976, 25.272872], [27.280012, 29.272236, 30.346142, 30.679647, 67.434679], [29.157800, 29.871354, 30.465346, 35.003969, 170.534902]]
### 2
mean: [-0.317512, 1.418837, 0.747182, -0.292475, 1.505580, 1.554939]
std: [1.230461, 1.019839, 0.703858, 0.851574, 0.835913, 1.798323]
pca: [[-0.446096, 0.479266, 0.238255, 0.507134, 0.422764, -0.280398, 0.000000, 0.000000, 0.000000, 0.000000], [0.315185, 0.529433, 0.377452, -0.352506, -0.367537, -0.467489, 0.000000, 0.000000, 0.000000, 0.000000], [0.275599, -0.102829, 0.170230, -0.464377, 0.813637, -0.082716, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246259, -0.187332, 0.827591, -0.084853, -0.116538, 0.445618, 0.000000, 0.000000, 0.000000, 0.000000], [0.109438, 0.664011, -0.193472, -0.126507, 0.086017, 0.697336, 0.000000, 0.000000, 0.000000, 0.000000], [0.743695, -0.058535, 0.222371, 0.616201, 0.056590, 0.105527, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.013947, 20.698803, 22.341148, 23.008258, 28.576116], [17.315195, 18.333553, 19.330318, 19.707797, 127.695377], [10.997838, 11.677111, 11.694434, 14.362569, 67.246366], [12.708834, 12.826699, 13.084454, 16.011071, 26.322748], [13.255181, 13.370842, 13.861391, 16.499485, 135.502206], [30.622033, 30.650287, 31.837834, 35.942419, 139.944474]]
### 4
mean: [-0.432376, 1.241990, -0.824780, 0.274761, -0.759568, -0.767210]
std: [0.520412, 1.103908, 0.904883, 1.074190, 0.487274, 0.372281]
pca: [[-0.065608, -0.499842, 0.587274, 0.554089, -0.277246, -0.130703, 0.000000, 0.000000, 0.000000, 0.000000], [0.657299, 0.028402, 0.045385, 0.336377, 0.271773, 0.614883, 0.000000, 0.000000, 0.000000, 0.000000], [-0.495590, -0.347248, -0.510507, 0.416269, 0.412009, 0.173670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.531785, 0.599515, 0.404878, 0.161208, 0.032243, 0.408451, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166386, -0.399080, -0.072699, -0.398694, -0.492440, 0.637426, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086972, -0.331795, 0.472462, -0.470756, 0.660293, 0.039113, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.587838, 8.591036, 8.792156, 9.170969, 38.913829], [16.263072, 17.629994, 18.470982, 23.307275, 111.779091], [14.253565, 14.569926, 14.809923, 18.623175, 74.230229], [17.355302, 18.401748, 19.201501, 20.030352, 24.728465], [8.003816, 8.349760, 8.852978, 9.625221, 68.361149], [6.225587, 6.523141, 6.889151, 7.211939, 69.048882]]
### 6
mean: [0.161073, 0.651092, 0.336429, -1.341105, 0.022663, 0.336185]
std: [0.462519, 0.671244, 0.494783, 0.729707, 0.263699, 0.914899]
pca: [[0.302998, -0.032125, 0.892235, -0.137049, -0.303160, 0.019729, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439658, 0.415633, 0.307677, 0.685585, 0.096190, -0.244960, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331396, 0.048623, 0.247001, -0.162457, 0.511780, 0.733820, 0.000000, 0.000000, 0.000000, 0.000000], [0.453567, 0.808837, -0.175360, 0.006025, -0.131475, 0.303292, 0.000000, 0.000000, 0.000000, 0.000000], [0.166862, 0.249221, 0.132068, -0.390159, 0.670326, -0.539485, 0.000000, 0.000000, 0.000000, 0.000000], [0.609511, -0.327909, 0.007027, 0.576661, 0.412675, 0.134476, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.237988, 7.401214, 7.585040, 7.996599, 14.496601], [10.230276, 10.496719, 10.625506, 12.146935, 58.598267], [7.538249, 8.115136, 8.157558, 8.507755, 30.278632], [11.616439, 11.643350, 12.428227, 16.164592, 120.699478], [3.930405, 3.947331, 4.065847, 4.357379, 5.698061], [14.459377, 14.601199, 14.896880, 15.542813, 30.256622]]
### 8
mean: [-0.523185, 0.245900, 0.475405, 0.305890, 0.051100, -0.080785]
std: [0.169354, 0.714843, 0.877622, 0.864234, 0.707958, 0.587220]
pca: [[-0.098995, 0.135039, 0.069627, 0.758833, 0.246700, -0.574829, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419557, -0.429126, 0.419157, 0.377911, -0.467595, 0.320419, 0.000000, 0.000000, 0.000000, 0.000000], [0.515328, 0.235136, 0.617954, -0.122742, -0.433682, -0.306815, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507518, 0.050549, 0.567667, -0.409435, 0.469915, -0.170785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414936, 0.827314, -0.096816, 0.043632, -0.318576, 0.174960, 0.000000, 0.000000, 0.000000, 0.000000], [0.344763, 0.235207, 0.325535, 0.311045, 0.458371, 0.642643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.573629, 2.653820, 2.660034, 2.907495, 47.086642], [11.028697, 11.368203, 11.602181, 11.924080, 22.130971], [13.885570, 14.005352, 14.176370, 14.230645, 42.786435], [13.476670, 13.594579, 14.091538, 14.148680, 27.530120], [10.889439, 11.243718, 11.325833, 11.429513, 11.466836], [8.765653, 9.327429, 9.377495, 9.503750, 9.586962]]
### 10
mean: [-0.154461, 0.005603, -0.300169, 0.272293, -0.013125, -0.386392]
std: [0.764274, 0.959925, 0.524739, 0.934441, 1.043169, 0.644020]
pca: [[0.376620, 0.223798, -0.421080, -0.145411, -0.004695, 0.780767, 0.000000, 0.000000, 0.000000, 0.000000], [0.474236, -0.058125, 0.322358, 0.492533, 0.649557, 0.057392, 0.000000, 0.000000, 0.000000, 0.000000], [0.248425, 0.610683, -0.101185, -0.496678, 0.338969, -0.439913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455539, 0.618896, -0.233956, 0.592672, 0.052300, 0.026859, 0.000000, 0.000000, 0.000000, 0.000000], [0.515213, -0.114124, -0.522858, 0.360327, -0.361860, -0.432865, 0.000000, 0.000000, 0.000000, 0.000000], [0.313979, 0.421362, 0.616784, 0.092092, -0.573999, 0.074108, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.856378, 12.165021, 12.170006, 12.588623, 13.901534], [14.374636, 15.047735, 15.131290, 15.358385, 15.853863], [7.956314, 8.277674, 8.380553, 9.275297, 27.015194], [14.862885, 14.916139, 15.055856, 15.150760, 24.506345], [15.678135, 16.459204, 16.554843, 16.702735, 17.186690], [9.889334, 10.328206, 10.595665, 10.615509, 34.775276]]
### 12
mean: [-0.575118]
std: [1.024167]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.074220, 16.459066, 16.674821, 16.757913, 51.760605]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
-0.695634,
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]
],
"network.0.bias": [
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-0.274283,
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],
"network.2.weight": [
[
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],
[
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0.239258,
0.023147,
0.493973
],
[
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],
[
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[
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[
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]
],
"network.2.bias": [
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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],
"network.6.bias": [
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0.534523
],
"network.8.weight": [
[
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[
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[
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[
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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0.440727,
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],
[
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0.497762,
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],
[
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[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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],
"network.12.bias": [
-0.526077
]
}
## Activation Signature
### 0
mean: [-1.566408, 0.496158, 1.761704, 0.280810, 0.749274, 1.894832]
std: [1.189515, 1.416846, 1.658967, 0.932206, 1.657590, 1.854640]
pca: [[-0.413100, -0.140381, 0.253954, 0.565557, -0.604559, 0.244546, 0.000000, 0.000000, 0.000000, 0.000000], [0.427289, -0.331867, -0.328242, 0.588149, -0.006284, -0.503575, 0.000000, 0.000000, 0.000000, 0.000000], [0.564188, 0.387309, -0.328927, 0.120308, -0.265771, 0.581707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323713, 0.039656, -0.233557, 0.458942, 0.696421, 0.378759, 0.000000, 0.000000, 0.000000, 0.000000], [0.420056, 0.142224, 0.813088, 0.257233, 0.274157, 0.029718, 0.000000, 0.000000, 0.000000, 0.000000], [-0.217320, 0.835673, -0.062542, 0.207258, -0.060583, -0.451537, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.749186, 18.837489, 20.198354, 22.195481, 140.976726], [24.135640, 24.335086, 26.820924, 29.459745, 44.654232], [27.501064, 27.921519, 28.513104, 32.635390, 158.553400], [13.915875, 15.429361, 15.457553, 15.921976, 25.272872], [27.280012, 29.272236, 30.346142, 30.679647, 67.434679], [29.157800, 29.871354, 30.465346, 35.003969, 170.534902]]
### 2
mean: [-0.317512, 1.418837, 0.747182, -0.292475, 1.505580, 1.554939]
std: [1.230461, 1.019839, 0.703858, 0.851574, 0.835913, 1.798323]
pca: [[-0.446096, 0.479266, 0.238255, 0.507134, 0.422764, -0.280398, 0.000000, 0.000000, 0.000000, 0.000000], [0.315185, 0.529433, 0.377452, -0.352506, -0.367537, -0.467489, 0.000000, 0.000000, 0.000000, 0.000000], [0.275599, -0.102829, 0.170230, -0.464377, 0.813637, -0.082716, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246259, -0.187332, 0.827591, -0.084853, -0.116538, 0.445618, 0.000000, 0.000000, 0.000000, 0.000000], [0.109438, 0.664011, -0.193472, -0.126507, 0.086017, 0.697336, 0.000000, 0.000000, 0.000000, 0.000000], [0.743695, -0.058535, 0.222371, 0.616201, 0.056590, 0.105527, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.013947, 20.698803, 22.341148, 23.008258, 28.576116], [17.315195, 18.333553, 19.330318, 19.707797, 127.695377], [10.997838, 11.677111, 11.694434, 14.362569, 67.246366], [12.708834, 12.826699, 13.084454, 16.011071, 26.322748], [13.255181, 13.370842, 13.861391, 16.499485, 135.502206], [30.622033, 30.650287, 31.837834, 35.942419, 139.944474]]
### 4
mean: [-0.432376, 1.241990, -0.824780, 0.274761, -0.759568, -0.767210]
std: [0.520412, 1.103908, 0.904883, 1.074190, 0.487274, 0.372281]
pca: [[-0.065608, -0.499842, 0.587274, 0.554089, -0.277246, -0.130703, 0.000000, 0.000000, 0.000000, 0.000000], [0.657299, 0.028402, 0.045385, 0.336377, 0.271773, 0.614883, 0.000000, 0.000000, 0.000000, 0.000000], [-0.495590, -0.347248, -0.510507, 0.416269, 0.412009, 0.173670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.531785, 0.599515, 0.404878, 0.161208, 0.032243, 0.408451, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166386, -0.399080, -0.072699, -0.398694, -0.492440, 0.637426, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086972, -0.331795, 0.472462, -0.470756, 0.660293, 0.039113, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.587838, 8.591036, 8.792156, 9.170969, 38.913829], [16.263072, 17.629994, 18.470982, 23.307275, 111.779091], [14.253565, 14.569926, 14.809923, 18.623175, 74.230229], [17.355302, 18.401748, 19.201501, 20.030352, 24.728465], [8.003816, 8.349760, 8.852978, 9.625221, 68.361149], [6.225587, 6.523141, 6.889151, 7.211939, 69.048882]]
### 6
mean: [0.161073, 0.651092, 0.336429, -1.341105, 0.022663, 0.336185]
std: [0.462519, 0.671244, 0.494783, 0.729707, 0.263699, 0.914899]
pca: [[0.302998, -0.032125, 0.892235, -0.137049, -0.303160, 0.019729, 0.000000, 0.000000, 0.000000, 0.000000], [-0.439658, 0.415633, 0.307677, 0.685585, 0.096190, -0.244960, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331396, 0.048623, 0.247001, -0.162457, 0.511780, 0.733820, 0.000000, 0.000000, 0.000000, 0.000000], [0.453567, 0.808837, -0.175360, 0.006025, -0.131475, 0.303292, 0.000000, 0.000000, 0.000000, 0.000000], [0.166862, 0.249221, 0.132068, -0.390159, 0.670326, -0.539485, 0.000000, 0.000000, 0.000000, 0.000000], [0.609511, -0.327909, 0.007027, 0.576661, 0.412675, 0.134476, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.237988, 7.401214, 7.585040, 7.996599, 14.496601], [10.230276, 10.496719, 10.625506, 12.146935, 58.598267], [7.538249, 8.115136, 8.157558, 8.507755, 30.278632], [11.616439, 11.643350, 12.428227, 16.164592, 120.699478], [3.930405, 3.947331, 4.065847, 4.357379, 5.698061], [14.459377, 14.601199, 14.896880, 15.542813, 30.256622]]
### 8
mean: [-0.523185, 0.245900, 0.475405, 0.305890, 0.051100, -0.080785]
std: [0.169354, 0.714843, 0.877622, 0.864234, 0.707958, 0.587220]
pca: [[-0.098995, 0.135039, 0.069627, 0.758833, 0.246700, -0.574829, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419557, -0.429126, 0.419157, 0.377911, -0.467595, 0.320419, 0.000000, 0.000000, 0.000000, 0.000000], [0.515328, 0.235136, 0.617954, -0.122742, -0.433682, -0.306815, 0.000000, 0.000000, 0.000000, 0.000000], [-0.507518, 0.050549, 0.567667, -0.409435, 0.469915, -0.170785, 0.000000, 0.000000, 0.000000, 0.000000], [-0.414936, 0.827314, -0.096816, 0.043632, -0.318576, 0.174960, 0.000000, 0.000000, 0.000000, 0.000000], [0.344763, 0.235207, 0.325535, 0.311045, 0.458371, 0.642643, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.573629, 2.653820, 2.660034, 2.907495, 47.086642], [11.028697, 11.368203, 11.602181, 11.924080, 22.130971], [13.885570, 14.005352, 14.176370, 14.230645, 42.786435], [13.476670, 13.594579, 14.091538, 14.148680, 27.530120], [10.889439, 11.243718, 11.325833, 11.429513, 11.466836], [8.765653, 9.327429, 9.377495, 9.503750, 9.586962]]
### 10
mean: [-0.154461, 0.005603, -0.300169, 0.272293, -0.013125, -0.386392]
std: [0.764274, 0.959925, 0.524739, 0.934441, 1.043169, 0.644020]
pca: [[0.376620, 0.223798, -0.421080, -0.145411, -0.004695, 0.780767, 0.000000, 0.000000, 0.000000, 0.000000], [0.474236, -0.058125, 0.322358, 0.492533, 0.649557, 0.057392, 0.000000, 0.000000, 0.000000, 0.000000], [0.248425, 0.610683, -0.101185, -0.496678, 0.338969, -0.439913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455539, 0.618896, -0.233956, 0.592672, 0.052300, 0.026859, 0.000000, 0.000000, 0.000000, 0.000000], [0.515213, -0.114124, -0.522858, 0.360327, -0.361860, -0.432865, 0.000000, 0.000000, 0.000000, 0.000000], [0.313979, 0.421362, 0.616784, 0.092092, -0.573999, 0.074108, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.856378, 12.165021, 12.170006, 12.588623, 13.901534], [14.374636, 15.047735, 15.131290, 15.358385, 15.853863], [7.956314, 8.277674, 8.380553, 9.275297, 27.015194], [14.862885, 14.916139, 15.055856, 15.150760, 24.506345], [15.678135, 16.459204, 16.554843, 16.702735, 17.186690], [9.889334, 10.328206, 10.595665, 10.615509, 34.775276]]
### 12
mean: [-0.575118]
std: [1.024167]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.074220, 16.459066, 16.674821, 16.757913, 51.760605]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.299283, 0.026106, -0.148598, -0.489314, 0.253799], [0.768, -0.203355, -0.285757, 0.181586, -0.023675], [0.40256, -0.00113, 0.364311, 0.534073, 0.02595], [-0.248127, -0.074343, -0.170979, -0.084276, 0.404357], [0.189721, 0.462918, 0.480134, -0.33262, -0.280332], [-0.695634, 0.207582, 0.595724, 0.127935, 0.518022]], "network.0.bias": [-0.194847, 0.147695, -0.675501, 0.764232, -0.274283, 0.224606], "network.2.weight": [[0.315164, 0.049948, -0.64162, 0.495868, -0.124414, 0.273825], [0.146436, 0.432033, 0.180347, 0.239258, 0.023147, 0.493973], [0.280016, 0.022216, 0.438387, 0.160602, 0.08707, -0.125039], [-0.249034, 0.415995, -0.289794, 0.480045, -0.301435, -0.092139], [0.399056, -0.041685, 0.022598, 0.086115, 0.092523, 0.456886], [-0.311572, 0.558679, 0.538269, -0.038438, 0.509429, 0.169553]], "network.2.bias": [0.18937, -0.286117, 0.066936, 0.208064, 0.489161, -0.629596], "network.4.weight": [[0.025887, -0.612263, 0.256706, 0.387396, -0.047713, 0.159064], [-0.165431, 0.081459, 0.200672, 0.685554, 0.184288, 0.530647], [-0.166578, -0.219709, -0.071031, 0.258897, -0.246022, -0.324712], [0.518243, 0.021731, -0.115551, -0.823808, 0.380162, -0.540048], [-0.130004, -0.144496, -0.119955, -0.094975, -0.351047, -0.019464], [-0.026325, -0.35864, 0.109045, -0.163684, -0.099953, 0.041255]], "network.4.bias": [-0.003347, -0.131264, 0.392151, 0.608833, 0.076651, -0.258058], "network.6.weight": [[-0.437424, -0.384963, -0.934913, 0.096358, -0.076002, -0.202026], [-0.192053, 0.39437, 0.759863, -0.562645, -0.054443, 0.076257], [0.220721, 0.357913, 0.248281, -0.244298, -0.163001, -0.189765], [-0.405445, -0.710334, 0.023791, -0.245381, 0.113417, 0.344686], [0.004994, -0.255547, -0.181607, -0.062861, -0.183871, -0.375049], [-0.576598, -0.603504, -0.572027, 0.590544, -0.486856, -0.670217]], "network.6.bias": [0.45703, 0.481231, 0.012746, -0.36065, 0.264256, 0.534523], "network.8.weight": [[0.105117, -0.305787, 0.132219, 0.318131, 0.181884, 0.031145], [0.303108, -0.443538, -0.338461, -0.207328, -0.248838, 0.508964], [-0.769111, 0.498568, 0.375883, 0.25226, -0.085005, -0.467604], [0.200509, -0.46708, -0.482196, 0.067436, 0.448255, 0.605109], [0.296936, -0.379424, -0.492758, -0.436798, 0.273813, 0.339981], [-0.488149, 0.140913, 0.523653, 0.02164, 0.042387, -0.369249]], "network.8.bias": [-0.384369, 0.30573, 0.450127, 0.399927, 0.148616, -0.063329], "network.10.weight": [[0.229316, 0.27463, -0.388835, 0.152387, 0.296648, -0.712889], [-0.077695, 0.356966, -0.742684, 0.279242, 0.440727, -0.047225], [0.714322, -0.170633, -0.395191, -0.100447, 0.497762, -0.681807], [-0.640245, -0.276795, 0.346969, -0.440813, -0.80044, 0.198921], [0.295684, 0.626251, -0.485352, 0.448205, 0.077058, -0.623315], [-0.079838, -0.22999, -0.698613, 0.289994, 0.275751, -0.091211]], "network.10.bias": [-0.06467, 0.072056, 0.066805, 0.405133, -0.059897, -0.128717], "network.12.weight": [[0.522162, 0.409852, 0.14073, -0.788189, 0.370856, 0.272957]], "network.12.bias": [-0.526077]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972120106220245, "train_acc": 0.575, "val_loss": 0.738274335861206, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6840828359127045, "train_acc": 0.575, "val_loss": 0.7247399687767029, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6769630312919617, "train_acc": 0.575, "val_loss": 0.7096298336982727, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6683990955352783, "train_acc": 0.575, "val_loss": 0.6871435642242432, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6574651896953583, "train_acc": 0.615, "val_loss": 0.6384618282318115, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6137280762195587, "train_acc": 0.72, "val_loss": 0.6077072620391846, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5648687183856964, "train_acc": 0.725, "val_loss": 0.5880086421966553, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5462673008441925, "train_acc": 0.755, "val_loss": 0.571083128452301, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5106175392866135, "train_acc": 0.78, "val_loss": 0.5330674648284912, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5179150104522705, "train_acc": 0.8, "val_loss": 0.4911070168018341, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4719037562608719, "train_acc": 0.835, "val_loss": 0.44638076424598694, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4224857985973358, "train_acc": 0.86, "val_loss": 0.40862125158309937, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.39298105239868164, "train_acc": 0.875, "val_loss": 0.36067456007003784, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3515351861715317, "train_acc": 0.89, "val_loss": 0.2904852032661438, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.738274335861206, "final_val_loss": 0.6871435642242432, "initial_val_acc": 0.46, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6384618282318115, "final_val_loss": 0.2904852032661438, "initial_val_acc": 0.68, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
84
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.038871271727713465, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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]
],
"network.0.bias": [
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"network.2.weight": [
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],
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[
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[
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],
[
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[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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],
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[
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"network.8.weight": [
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[
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[
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[
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]
],
"network.8.bias": [
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"network.10.weight": [
[
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],
[
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],
[
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],
[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [1.003909, -3.219741, 1.709109, -2.028186, 0.675963, 0.767432]
std: [1.049218, 2.267480, 1.527915, 1.371820, 1.260225, 1.226803]
pca: [[-0.021976, -0.537182, -0.316717, 0.601392, 0.021338, 0.498513, 0.000000, 0.000000, 0.000000, 0.000000], [0.759617, 0.053924, 0.009768, 0.207040, 0.587993, -0.177137, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375377, -0.339343, 0.724674, 0.092690, 0.455383, -0.053121, 0.000000, 0.000000, 0.000000, 0.000000], [0.359024, 0.262368, 0.601085, 0.260088, -0.472883, 0.386908, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247069, 0.581684, -0.099405, -0.059724, 0.470678, 0.604661, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302739, 0.431487, -0.057085, 0.718093, -0.035759, -0.449414, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.217603, 16.304878, 18.347576, 19.325829, 90.351801], [34.567454, 37.444860, 43.913428, 47.482916, 289.776654], [23.604557, 25.943262, 26.343310, 28.136504, 153.819789], [22.024082, 22.087596, 23.927594, 26.107112, 182.536703], [20.550577, 20.553037, 21.157462, 24.169734, 60.836646], [18.969611, 19.036472, 19.065435, 19.140370, 69.068901]]
### 2
mean: [0.762165, -1.573452, 0.803860, -0.929897, 0.433347, -1.740610]
std: [1.264737, 1.010379, 0.705259, 0.259861, 1.308025, 0.981939]
pca: [[0.597604, 0.174099, -0.556192, 0.419894, 0.309455, -0.176456, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459184, 0.272727, 0.207710, 0.140144, 0.624887, -0.511374, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101337, -0.547842, 0.182731, 0.538802, 0.372854, 0.476320, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069223, 0.163913, 0.264532, 0.699754, -0.582627, -0.263161, 0.000000, 0.000000, 0.000000, 0.000000], [0.614028, 0.199184, 0.734525, -0.096494, 0.179732, 0.046402, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199822, 0.727074, -0.067908, 0.121550, 0.054556, 0.639588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.410581, 21.552600, 21.777245, 22.147579, 68.594853], [16.224940, 17.501099, 18.474075, 19.984882, 141.610665], [10.140375, 10.235168, 10.276771, 14.112132, 72.347437], [3.700593, 4.131584, 5.062607, 5.567633, 83.690750], [21.094335, 21.509663, 22.459293, 24.905427, 39.001276], [16.006705, 16.341270, 18.528521, 19.890930, 156.654926]]
### 4
mean: [0.329246, 0.412845, -0.474996, 0.235450, -0.926117, 0.121469]
std: [0.684621, 0.893523, 0.107105, 0.499632, 0.324913, 0.579765]
pca: [[0.503263, 0.121406, -0.332799, 0.148181, -0.241822, 0.735388, 0.000000, 0.000000, 0.000000, 0.000000], [0.654942, -0.237166, 0.566508, 0.377184, 0.130944, -0.185627, 0.000000, 0.000000, 0.000000, 0.000000], [0.034353, 0.257882, -0.450928, 0.636575, -0.285365, -0.492260, 0.000000, 0.000000, 0.000000, 0.000000], [0.357901, 0.325582, -0.365967, -0.212639, 0.745429, -0.176327, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080517, 0.865080, 0.478705, 0.037509, -0.070219, 0.098274, 0.000000, 0.000000, 0.000000, 0.000000], [0.426640, 0.090238, -0.043433, -0.619616, -0.531363, -0.376403, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.409516, 11.797104, 12.684752, 13.212201, 29.632174], [14.987095, 15.899712, 16.776234, 17.607677, 37.156007], [1.747882, 1.846831, 2.139018, 2.295664, 42.749639], [8.346075, 8.536877, 8.957573, 9.396237, 21.190542], [4.935214, 5.159709, 5.235767, 5.865660, 83.350494], [9.885987, 9.913758, 10.840988, 10.932217, 11.073879]]
### 6
mean: [-0.058413, -0.162022, -0.382651, 0.804735, -0.140330, -0.188702]
std: [0.346001, 0.051730, 0.235477, 0.530694, 0.312843, 0.019359]
pca: [[-0.464574, -0.091483, -0.329641, -0.010749, -0.418553, 0.701310, 0.000000, 0.000000, 0.000000, 0.000000], [0.068524, -0.014278, -0.516303, 0.812593, 0.259231, -0.031982, 0.000000, 0.000000, 0.000000, 0.000000], [-0.311813, 0.706945, -0.348861, -0.318979, 0.422598, -0.030992, 0.000000, 0.000000, 0.000000, 0.000000], [0.712617, -0.128060, -0.333632, -0.334895, 0.244028, 0.439047, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417480, -0.640020, -0.009444, -0.179566, 0.619472, 0.002478, 0.000000, 0.000000, 0.000000, 0.000000], [0.011611, 0.256185, 0.625830, 0.305665, 0.368412, 0.559832, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.259052, 5.585424, 5.951190, 6.359503, 6.525052], [0.847816, 0.857159, 0.934141, 0.987257, 14.581983], [3.676830, 4.012148, 4.099621, 4.475877, 34.438561], [8.695411, 9.126124, 9.755735, 9.863981, 72.426145], [4.786658, 5.601594, 5.773896, 5.923394, 12.629730], [0.303307, 0.338360, 0.356290, 0.421886, 16.983163]]
### 8
mean: [0.448062, 0.593840, -0.432455, 0.387994, 0.126038, -0.308434]
std: [0.296775, 0.468015, 0.200333, 0.100688, 0.017653, 0.146338]
pca: [[0.487326, 0.047982, 0.077339, 0.678091, -0.339235, -0.423488, 0.000000, 0.000000, 0.000000, 0.000000], [0.768527, -0.063389, -0.383123, -0.128508, 0.408436, 0.274283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326865, -0.249157, -0.295490, 0.685092, 0.185843, 0.489772, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086214, 0.944789, -0.075516, 0.163592, 0.254476, 0.052142, 0.000000, 0.000000, 0.000000, 0.000000], [0.014349, -0.160187, 0.624054, 0.165195, 0.719452, -0.199478, 0.000000, 0.000000, 0.000000, 0.000000], [0.239584, 0.115390, 0.603966, 0.016598, -0.318109, 0.680471, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.795999, 4.948863, 5.423308, 5.740999, 40.325588], [7.717560, 7.785976, 8.528688, 9.103771, 53.445587], [3.293999, 3.395627, 3.679327, 3.763273, 38.920978], [1.692442, 1.794741, 1.796850, 2.212117, 34.919492], [0.286164, 0.306702, 0.346199, 0.365684, 11.343422], [2.403651, 2.426176, 2.680491, 2.799338, 27.759048]]
### 10
mean: [-0.115200, 0.302772, 0.646339, 0.341358, 0.202910, 0.145049]
std: [0.015707, 0.116467, 0.208445, 0.265218, 0.106142, 0.346808]
pca: [[-0.013009, 0.230339, 0.450224, -0.643879, 0.563995, -0.106787, 0.000000, 0.000000, 0.000000, 0.000000], [0.227542, 0.301551, 0.167103, 0.703952, 0.496372, -0.295694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412082, -0.140484, 0.739183, 0.285811, -0.139486, 0.403630, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519264, 0.628848, 0.005163, -0.019761, -0.378313, -0.437467, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201258, 0.495098, -0.370082, 0.044908, 0.273795, 0.707412, 0.000000, 0.000000, 0.000000, 0.000000], [0.684181, 0.442384, 0.293251, -0.076003, -0.444954, 0.215490, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.197334, 0.239281, 0.239789, 0.294625, 10.368037], [1.893975, 2.060619, 2.082129, 2.304173, 27.249463], [3.379523, 3.434174, 3.818560, 4.030292, 58.170538], [4.414116, 4.545856, 4.845448, 4.889354, 30.722182], [1.774241, 1.820237, 1.859991, 1.918190, 18.261921], [5.619081, 5.869419, 6.300853, 6.783654, 13.054429]]
### 12
mean: [-0.488988]
std: [0.391754]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.288269, 6.532970, 7.136495, 7.647669, 44.008944]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
[
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[
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[
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],
[
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],
[
0.485791,
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-0.201686,
0.001776,
0.018438
]
],
"network.0.bias": [
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0.003365,
0.285136,
0.076249,
0.11726,
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],
"network.2.weight": [
[
-0.140295,
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],
[
-0.09128,
-0.06912,
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-0.358062,
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],
[
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],
[
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[
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],
[
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-0.126309,
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]
],
"network.2.bias": [
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-0.536973,
0.058444,
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],
"network.4.weight": [
[
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[
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[
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[
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[
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0.300893
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[
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],
"network.4.bias": [
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"network.6.weight": [
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],
"network.6.bias": [
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0.31935,
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"network.8.weight": [
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[
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[
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[
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[
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0.031419
]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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0.037355,
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0.306272,
-0.019727
],
[
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],
[
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],
[
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],
[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
-0.13823
]
}
## Activation Signature
### 0
mean: [1.003909, -3.219741, 1.709109, -2.028186, 0.675963, 0.767432]
std: [1.049218, 2.267480, 1.527915, 1.371820, 1.260225, 1.226803]
pca: [[-0.021976, -0.537182, -0.316717, 0.601392, 0.021338, 0.498513, 0.000000, 0.000000, 0.000000, 0.000000], [0.759617, 0.053924, 0.009768, 0.207040, 0.587993, -0.177137, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375377, -0.339343, 0.724674, 0.092690, 0.455383, -0.053121, 0.000000, 0.000000, 0.000000, 0.000000], [0.359024, 0.262368, 0.601085, 0.260088, -0.472883, 0.386908, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247069, 0.581684, -0.099405, -0.059724, 0.470678, 0.604661, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302739, 0.431487, -0.057085, 0.718093, -0.035759, -0.449414, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.217603, 16.304878, 18.347576, 19.325829, 90.351801], [34.567454, 37.444860, 43.913428, 47.482916, 289.776654], [23.604557, 25.943262, 26.343310, 28.136504, 153.819789], [22.024082, 22.087596, 23.927594, 26.107112, 182.536703], [20.550577, 20.553037, 21.157462, 24.169734, 60.836646], [18.969611, 19.036472, 19.065435, 19.140370, 69.068901]]
### 2
mean: [0.762165, -1.573452, 0.803860, -0.929897, 0.433347, -1.740610]
std: [1.264737, 1.010379, 0.705259, 0.259861, 1.308025, 0.981939]
pca: [[0.597604, 0.174099, -0.556192, 0.419894, 0.309455, -0.176456, 0.000000, 0.000000, 0.000000, 0.000000], [-0.459184, 0.272727, 0.207710, 0.140144, 0.624887, -0.511374, 0.000000, 0.000000, 0.000000, 0.000000], [-0.101337, -0.547842, 0.182731, 0.538802, 0.372854, 0.476320, 0.000000, 0.000000, 0.000000, 0.000000], [-0.069223, 0.163913, 0.264532, 0.699754, -0.582627, -0.263161, 0.000000, 0.000000, 0.000000, 0.000000], [0.614028, 0.199184, 0.734525, -0.096494, 0.179732, 0.046402, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199822, 0.727074, -0.067908, 0.121550, 0.054556, 0.639588, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.410581, 21.552600, 21.777245, 22.147579, 68.594853], [16.224940, 17.501099, 18.474075, 19.984882, 141.610665], [10.140375, 10.235168, 10.276771, 14.112132, 72.347437], [3.700593, 4.131584, 5.062607, 5.567633, 83.690750], [21.094335, 21.509663, 22.459293, 24.905427, 39.001276], [16.006705, 16.341270, 18.528521, 19.890930, 156.654926]]
### 4
mean: [0.329246, 0.412845, -0.474996, 0.235450, -0.926117, 0.121469]
std: [0.684621, 0.893523, 0.107105, 0.499632, 0.324913, 0.579765]
pca: [[0.503263, 0.121406, -0.332799, 0.148181, -0.241822, 0.735388, 0.000000, 0.000000, 0.000000, 0.000000], [0.654942, -0.237166, 0.566508, 0.377184, 0.130944, -0.185627, 0.000000, 0.000000, 0.000000, 0.000000], [0.034353, 0.257882, -0.450928, 0.636575, -0.285365, -0.492260, 0.000000, 0.000000, 0.000000, 0.000000], [0.357901, 0.325582, -0.365967, -0.212639, 0.745429, -0.176327, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080517, 0.865080, 0.478705, 0.037509, -0.070219, 0.098274, 0.000000, 0.000000, 0.000000, 0.000000], [0.426640, 0.090238, -0.043433, -0.619616, -0.531363, -0.376403, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.409516, 11.797104, 12.684752, 13.212201, 29.632174], [14.987095, 15.899712, 16.776234, 17.607677, 37.156007], [1.747882, 1.846831, 2.139018, 2.295664, 42.749639], [8.346075, 8.536877, 8.957573, 9.396237, 21.190542], [4.935214, 5.159709, 5.235767, 5.865660, 83.350494], [9.885987, 9.913758, 10.840988, 10.932217, 11.073879]]
### 6
mean: [-0.058413, -0.162022, -0.382651, 0.804735, -0.140330, -0.188702]
std: [0.346001, 0.051730, 0.235477, 0.530694, 0.312843, 0.019359]
pca: [[-0.464574, -0.091483, -0.329641, -0.010749, -0.418553, 0.701310, 0.000000, 0.000000, 0.000000, 0.000000], [0.068524, -0.014278, -0.516303, 0.812593, 0.259231, -0.031982, 0.000000, 0.000000, 0.000000, 0.000000], [-0.311813, 0.706945, -0.348861, -0.318979, 0.422598, -0.030992, 0.000000, 0.000000, 0.000000, 0.000000], [0.712617, -0.128060, -0.333632, -0.334895, 0.244028, 0.439047, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417480, -0.640020, -0.009444, -0.179566, 0.619472, 0.002478, 0.000000, 0.000000, 0.000000, 0.000000], [0.011611, 0.256185, 0.625830, 0.305665, 0.368412, 0.559832, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.259052, 5.585424, 5.951190, 6.359503, 6.525052], [0.847816, 0.857159, 0.934141, 0.987257, 14.581983], [3.676830, 4.012148, 4.099621, 4.475877, 34.438561], [8.695411, 9.126124, 9.755735, 9.863981, 72.426145], [4.786658, 5.601594, 5.773896, 5.923394, 12.629730], [0.303307, 0.338360, 0.356290, 0.421886, 16.983163]]
### 8
mean: [0.448062, 0.593840, -0.432455, 0.387994, 0.126038, -0.308434]
std: [0.296775, 0.468015, 0.200333, 0.100688, 0.017653, 0.146338]
pca: [[0.487326, 0.047982, 0.077339, 0.678091, -0.339235, -0.423488, 0.000000, 0.000000, 0.000000, 0.000000], [0.768527, -0.063389, -0.383123, -0.128508, 0.408436, 0.274283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326865, -0.249157, -0.295490, 0.685092, 0.185843, 0.489772, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086214, 0.944789, -0.075516, 0.163592, 0.254476, 0.052142, 0.000000, 0.000000, 0.000000, 0.000000], [0.014349, -0.160187, 0.624054, 0.165195, 0.719452, -0.199478, 0.000000, 0.000000, 0.000000, 0.000000], [0.239584, 0.115390, 0.603966, 0.016598, -0.318109, 0.680471, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.795999, 4.948863, 5.423308, 5.740999, 40.325588], [7.717560, 7.785976, 8.528688, 9.103771, 53.445587], [3.293999, 3.395627, 3.679327, 3.763273, 38.920978], [1.692442, 1.794741, 1.796850, 2.212117, 34.919492], [0.286164, 0.306702, 0.346199, 0.365684, 11.343422], [2.403651, 2.426176, 2.680491, 2.799338, 27.759048]]
### 10
mean: [-0.115200, 0.302772, 0.646339, 0.341358, 0.202910, 0.145049]
std: [0.015707, 0.116467, 0.208445, 0.265218, 0.106142, 0.346808]
pca: [[-0.013009, 0.230339, 0.450224, -0.643879, 0.563995, -0.106787, 0.000000, 0.000000, 0.000000, 0.000000], [0.227542, 0.301551, 0.167103, 0.703952, 0.496372, -0.295694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412082, -0.140484, 0.739183, 0.285811, -0.139486, 0.403630, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519264, 0.628848, 0.005163, -0.019761, -0.378313, -0.437467, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201258, 0.495098, -0.370082, 0.044908, 0.273795, 0.707412, 0.000000, 0.000000, 0.000000, 0.000000], [0.684181, 0.442384, 0.293251, -0.076003, -0.444954, 0.215490, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.197334, 0.239281, 0.239789, 0.294625, 10.368037], [1.893975, 2.060619, 2.082129, 2.304173, 27.249463], [3.379523, 3.434174, 3.818560, 4.030292, 58.170538], [4.414116, 4.545856, 4.845448, 4.889354, 30.722182], [1.774241, 1.820237, 1.859991, 1.918190, 18.261921], [5.619081, 5.869419, 6.300853, 6.783654, 13.054429]]
### 12
mean: [-0.488988]
std: [0.391754]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.288269, 6.532970, 7.136495, 7.647669, 44.008944]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.368872, 0.098466, 0.058378, 0.149413, 0.408856], [-0.442755, -0.504972, -0.254118, -0.603067, 0.058474], [-0.153473, 0.517562, 0.070417, 0.409423, -0.286402], [-0.016002, -0.263696, -0.365222, -0.200884, -0.332687], [0.532231, 0.218439, -0.032593, -0.134023, -0.11853], [0.485791, 0.313961, -0.201686, 0.001776, 0.018438]], "network.0.bias": [0.336916, 0.003365, 0.285136, 0.076249, 0.11726, -0.014464], "network.2.weight": [[-0.140295, -0.399625, 0.011654, 0.108719, 0.652642, 0.405613], [-0.09128, -0.06912, -0.288579, -0.38791, -0.358062, -0.393114], [0.374624, 0.114202, 0.374119, -0.035012, 0.048125, -0.285671], [-0.128927, 0.255696, -0.072128, 0.172448, 0.101883, -0.240824], [-0.536727, 0.176713, 0.126809, -0.366835, 0.356789, 0.538582], [-0.404865, -0.313417, -0.545091, -0.145203, -0.126309, -0.127586]], "network.2.bias": [0.036843, -0.344191, -0.060127, -0.536973, 0.058444, -0.125254], "network.4.weight": [[-0.083595, -0.386165, 0.371438, 0.01073, -0.407924, -0.030556], [-0.550142, 0.032901, 0.663655, 0.004799, 0.04723, 0.49891], [0.181448, 0.205544, -0.093959, -0.083753, -0.292698, -0.044663], [-0.006844, 0.266603, 0.142243, 0.067679, -0.405175, -0.124814], [-0.199461, 0.094723, -0.534368, -0.282059, 0.085704, 0.300893], [-0.178207, -0.169342, 0.315128, -0.355588, -0.225265, -0.011465]], "network.4.bias": [0.360984, 0.274451, -0.347767, 0.393898, -0.377439, 0.154365], "network.6.weight": [[-0.354601, -0.32211, -0.394614, -0.413225, 0.212769, 0.144682], [-0.197458, 0.0337, -0.015626, 0.134622, -0.260452, 0.296581], [-0.071225, -0.490584, -0.320686, -0.072438, 0.108282, 0.235793], [0.489468, 0.403903, -0.253775, 0.433602, -0.447151, 0.216956], [-0.330444, -0.092339, 0.017893, -0.565148, 0.064477, -0.081864], [0.054272, 0.058837, 0.0093, 0.178585, 0.380603, -0.321056]], "network.6.bias": [0.433938, -0.225461, -0.079763, 0.072119, 0.31935, -0.219803], "network.8.weight": [[-0.305152, -0.409885, -0.098285, 0.448338, -0.079841, 0.130836], [-0.37368, 0.064446, 0.104547, 0.672656, -0.427078, 0.353682], [0.178557, 0.105333, 0.120762, -0.361037, -0.174159, 0.043269], [0.569232, -0.094198, 0.146946, 0.199505, 0.51449, 0.076127], [-0.313183, 0.087622, 0.171419, -0.04153, 0.183621, 0.050083], [-0.303329, -0.403296, 0.269038, 0.240274, 0.262305, 0.031419]], "network.8.bias": [0.131007, 0.133526, -0.149107, 0.115401, 0.182223, -0.48678], "network.10.weight": [[-0.155359, 0.140352, -0.338165, 0.146904, 0.001305, 0.063983], [-0.027484, -0.221257, 0.037355, 0.287264, 0.306272, -0.019727], [-0.053493, 0.505167, -0.045942, -0.109707, 0.24321, 0.097734], [0.494032, 0.319683, -0.09288, 0.387777, -0.167417, -0.190974], [0.413081, -0.006679, -0.232433, 0.319089, -0.206714, -0.131604], [-0.373004, -0.5057, 0.14967, 0.409773, 0.292679, 0.253636]], "network.10.bias": [-0.189832, 0.302304, 0.368794, -0.207698, -0.075782, 0.430056], "network.12.weight": [[0.336811, 0.096067, -0.437628, -0.503081, -0.17908, 0.525827]], "network.12.bias": [-0.13823]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6924565136432648, "train_acc": 0.575, "val_loss": 0.7096797227859497, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6765955984592438, "train_acc": 0.575, "val_loss": 0.7012844085693359, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6693696677684784, "train_acc": 0.575, "val_loss": 0.685120701789856, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6443799138069153, "train_acc": 0.575, "val_loss": 0.6500397324562073, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6179252862930298, "train_acc": 0.505, "val_loss": 0.5392485857009888, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.48544396460056305, "train_acc": 0.91, "val_loss": 0.38390228152275085, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3452034145593643, "train_acc": 0.895, "val_loss": 0.2630932331085205, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.26048021018505096, "train_acc": 0.92, "val_loss": 0.21587158739566803, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.23383864760398865, "train_acc": 0.93, "val_loss": 0.19746704399585724, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.20285744220018387, "train_acc": 0.93, "val_loss": 0.2435494065284729, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.23607882112264633, "train_acc": 0.93, "val_loss": 0.2506932020187378, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.23465587198734283, "train_acc": 0.93, "val_loss": 0.23612040281295776, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7096797227859497, "final_val_loss": 0.6500397324562073, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5392485857009888, "final_val_loss": 0.23612040281295776, "initial_val_acc": 0.96, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
85
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.78, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8572, "learning_rate": 0.05637531695895258, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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"network.6.weight": [
[
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"network.8.weight": [
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],
[
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],
[
0.470039,
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0.048172,
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0.643541,
-0.223298,
1.2e-05
],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.331097,
-0.689142,
-0.69444,
0.013084,
0.285036,
-0.692835
]
],
"network.10.bias": [
0.0912
]
}
## Activation Signature
### 0
mean: [-0.233262, 2.164565, 0.722745, 0.276115, 0.661478, 1.792971, -1.211577, 1.090333]
std: [2.405140, 2.486845, 2.110472, 1.506039, 2.403617, 1.429108, 1.595297, 1.338320]
pca: [[-0.360525, 0.764628, -0.049111, 0.383278, -0.093414, -0.188503, -0.092017, -0.288661, 0.000000, 0.000000], [-0.472647, -0.059932, 0.635055, -0.219808, 0.493427, -0.236932, -0.130827, 0.068408, 0.000000, 0.000000], [0.446865, 0.208210, 0.311125, -0.033228, -0.016404, -0.475807, 0.657562, 0.002767, 0.000000, 0.000000], [0.193171, -0.209640, 0.395565, 0.636447, -0.297112, -0.188349, -0.364927, 0.316665, 0.000000, 0.000000], [0.516935, 0.257408, 0.020465, -0.411730, 0.054765, -0.242851, -0.636935, -0.170051, 0.000000, 0.000000], [0.244559, 0.002236, 0.468598, 0.164200, 0.079607, 0.585717, 0.047942, -0.584756, 0.000000, 0.000000], [0.254886, -0.024316, -0.310220, 0.438835, 0.800767, -0.054462, -0.016136, 0.034275, 0.000000, 0.000000], [0.132763, 0.507540, 0.157426, -0.097745, 0.093244, 0.491380, 0.024740, 0.663083, 0.000000, 0.000000]]
fourier: [[35.221670, 37.450468, 41.224453, 43.256855, 48.712024], [35.799355, 40.582908, 45.034498, 57.302101, 194.810804], [30.665604, 32.391496, 35.762189, 38.064735, 65.047087], [21.018550, 21.123797, 24.850354, 26.119496, 33.990754], [36.478870, 37.742467, 40.231255, 50.666497, 59.532988], [21.932555, 23.188296, 28.393396, 28.771314, 161.367369], [25.381627, 25.469610, 25.487941, 26.628420, 109.041921], [18.710728, 19.212861, 24.345346, 26.819568, 98.130004]]
### 2
mean: [-4.022936, -3.990232, 0.746489, 0.288232, 0.240728, -1.051260, 0.814125, 0.572937]
std: [2.838438, 2.913678, 3.447339, 2.716070, 3.026428, 1.482489, 2.202076, 2.271869]
pca: [[-0.345703, 0.605819, 0.138443, 0.155130, 0.388049, -0.023729, 0.330623, -0.458023, 0.000000, 0.000000], [-0.362233, 0.577089, -0.256109, -0.051327, -0.174957, 0.041446, -0.251879, 0.609720, 0.000000, 0.000000], [0.478559, 0.229244, 0.350695, -0.136524, 0.036104, -0.097071, 0.591806, 0.464587, 0.000000, 0.000000], [-0.363483, -0.340088, -0.192805, 0.544549, 0.016032, -0.448715, 0.383469, 0.264312, 0.000000, 0.000000], [-0.410642, -0.336804, 0.244471, -0.139705, 0.400279, 0.612550, 0.131305, 0.293209, 0.000000, 0.000000], [-0.171301, 0.042443, 0.718428, 0.378551, -0.526924, 0.096855, -0.147181, -0.026887, 0.000000, 0.000000], [0.306196, 0.063508, 0.189799, 0.449535, 0.595464, -0.115509, -0.501741, 0.210813, 0.000000, 0.000000], [0.310501, 0.111657, -0.378355, 0.541504, -0.157473, 0.623707, 0.198281, -0.040227, 0.000000, 0.000000]]
fourier: [[40.245240, 43.909414, 50.143094, 58.357459, 362.064294], [42.749162, 49.606140, 50.728361, 51.105111, 359.120865], [53.780510, 60.442432, 61.076098, 67.184009, 71.705721], [38.941082, 43.824341, 46.486980, 50.498800, 58.813151], [40.570477, 44.886519, 50.957314, 58.857010, 62.450120], [18.970595, 20.740903, 25.681186, 38.204560, 94.613360], [35.631734, 36.006209, 37.434669, 41.752628, 73.271261], [33.654230, 37.975804, 42.852108, 44.796787, 51.564354]]
### 4
mean: [1.275288, -0.017406, 1.146148, -0.287293, 1.595428, -0.455899, 0.017088, 0.134337]
std: [2.662138, 1.933457, 2.283548, 0.288355, 1.051305, 2.857534, 0.596024, 0.803028]
pca: [[-0.533907, 0.068432, 0.174871, 0.629565, 0.128930, 0.056308, -0.017738, -0.513050, 0.000000, 0.000000], [0.383249, 0.222977, 0.422122, 0.005002, 0.188789, 0.762529, -0.022353, -0.087167, 0.000000, 0.000000], [-0.457208, 0.125429, 0.301350, 0.164425, -0.045662, 0.128221, 0.011617, 0.799200, 0.000000, 0.000000], [-0.001656, -0.215515, -0.232433, 0.069922, 0.624012, 0.071734, 0.696896, 0.120147, 0.000000, 0.000000], [-0.023652, 0.883435, 0.044639, -0.192448, 0.205406, -0.323607, 0.168490, -0.068213, 0.000000, 0.000000], [0.573549, 0.010064, 0.132398, 0.624814, 0.175902, -0.391590, -0.169771, 0.223411, 0.000000, 0.000000], [0.100429, -0.157055, 0.621635, -0.057112, -0.406158, -0.246006, 0.576605, -0.132663, 0.000000, 0.000000], [-0.139348, -0.279633, 0.490352, -0.375510, 0.564059, -0.274244, -0.351713, -0.062131, 0.000000, 0.000000]]
fourier: [[43.137848, 43.817532, 49.209423, 51.958092, 114.775917], [29.385578, 30.115243, 32.994496, 35.534939, 40.637678], [37.863939, 38.863687, 40.631457, 44.856074, 103.153306], [4.115827, 4.304492, 4.312863, 4.578341, 25.856373], [14.504323, 16.066601, 16.745920, 24.353255, 143.588529], [43.969944, 46.154257, 50.675428, 54.053810, 54.945610], [8.759812, 9.028935, 9.176949, 9.946526, 12.410661], [12.090317, 13.467400, 14.477576, 16.157352, 17.156207]]
### 6
mean: [-0.115675, -1.104130, -0.773232, -0.918298, -1.414594, -1.500281, -1.243629, -2.508411]
std: [2.617103, 0.583755, 1.636471, 3.478414, 4.434227, 2.856964, 2.874689, 1.568418]
pca: [[-0.350549, 0.195226, -0.142135, -0.442147, 0.613492, 0.310639, 0.100626, 0.374582, 0.000000, 0.000000], [0.028594, 0.183016, 0.640185, 0.343079, 0.058282, -0.119780, -0.164214, 0.627246, 0.000000, 0.000000], [-0.189432, 0.327783, -0.342155, 0.716404, 0.397836, -0.167823, 0.101668, -0.172032, 0.000000, 0.000000], [0.469224, 0.211340, 0.026535, -0.220544, 0.421437, -0.246517, -0.624650, -0.239277, 0.000000, 0.000000], [0.594439, 0.319571, -0.493023, 0.032178, -0.231796, 0.161687, 0.129203, 0.451491, 0.000000, 0.000000], [-0.335626, 0.561050, -0.062319, -0.323695, -0.341442, -0.587405, 0.042061, 0.022817, 0.000000, 0.000000], [0.388717, 0.146723, 0.364811, -0.130909, 0.263309, -0.158078, 0.729546, -0.224923, 0.000000, 0.000000], [-0.056028, 0.581254, 0.268596, 0.044469, -0.211437, 0.635646, -0.108096, -0.352771, 0.000000, 0.000000]]
fourier: [[40.349011, 41.292410, 44.202834, 46.023177, 59.087250], [8.715228, 8.770331, 9.400480, 11.090135, 99.371739], [23.735457, 24.601005, 33.352525, 38.477177, 69.590915], [60.061704, 60.695118, 62.518498, 64.810331, 82.646811], [73.594531, 76.800125, 77.910718, 85.451036, 127.313423], [42.722117, 42.843139, 55.053080, 68.747356, 135.025339], [49.907744, 51.461657, 52.054195, 52.868519, 111.926630], [24.095919, 24.837509, 27.322424, 33.755080, 225.757034]]
### 8
mean: [1.159958, 0.913993, -0.144767, 0.317717, 1.050823, -1.527716, -0.822432, 1.893647]
std: [1.560830, 1.290743, 2.266924, 1.386299, 1.306078, 2.683199, 3.401079, 2.660851]
pca: [[-0.250040, 0.249627, 0.657093, -0.149125, 0.241561, -0.125014, -0.185562, -0.559235, 0.000000, 0.000000], [-0.208758, 0.002118, 0.017477, -0.575595, 0.359180, -0.426050, 0.409559, 0.382797, 0.000000, 0.000000], [0.359885, 0.632899, -0.079404, 0.356756, 0.188612, -0.118204, 0.519208, -0.131217, 0.000000, 0.000000], [-0.220584, -0.346936, -0.349430, 0.163789, 0.684247, 0.291863, 0.144754, -0.328205, 0.000000, 0.000000], [-0.210636, -0.055818, 0.437311, 0.589360, 0.279315, -0.002046, -0.080933, 0.573899, 0.000000, 0.000000], [0.430838, -0.457872, 0.496862, -0.103808, -0.075776, 0.310652, 0.492174, -0.051013, 0.000000, 0.000000], [0.549860, 0.209793, 0.020081, -0.305055, 0.452490, 0.293755, -0.462078, 0.235847, 0.000000, 0.000000], [-0.428242, 0.399976, 0.031641, -0.202906, -0.142704, 0.721731, 0.212123, 0.167929, 0.000000, 0.000000]]
fourier: [[22.773225, 25.339926, 30.335669, 35.087826, 104.396201], [18.766140, 20.312157, 24.639366, 28.730509, 82.259364], [31.239125, 34.346549, 37.440236, 42.571849, 48.797357], [20.642685, 23.008374, 25.680866, 28.594565, 29.171706], [19.968275, 20.434304, 25.203349, 28.756217, 94.574072], [41.305224, 41.388990, 50.885884, 59.667074, 137.494476], [50.064860, 54.529312, 64.564432, 74.018879, 75.306055], [40.568280, 41.561893, 50.882461, 59.722627, 170.428241]]
### 10
mean: [-3.025901]
std: [5.571476]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.889577, 87.019906, 106.891590, 124.019517, 272.331055]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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1.287127
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[
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0.452169,
-1.01591
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[
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[
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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],
[
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0.251303,
0.366894,
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0.486698,
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-0.207241
]
],
"network.2.bias": [
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"network.4.weight": [
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[
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0.210506,
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0.677773,
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"network.4.bias": [
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"network.6.weight": [
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"network.8.weight": [
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[
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[
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1.2e-05
],
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[
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0.285036,
-0.692835
]
],
"network.10.bias": [
0.0912
]
}
## Activation Signature
### 0
mean: [-0.233262, 2.164565, 0.722745, 0.276115, 0.661478, 1.792971, -1.211577, 1.090333]
std: [2.405140, 2.486845, 2.110472, 1.506039, 2.403617, 1.429108, 1.595297, 1.338320]
pca: [[-0.360525, 0.764628, -0.049111, 0.383278, -0.093414, -0.188503, -0.092017, -0.288661, 0.000000, 0.000000], [-0.472647, -0.059932, 0.635055, -0.219808, 0.493427, -0.236932, -0.130827, 0.068408, 0.000000, 0.000000], [0.446865, 0.208210, 0.311125, -0.033228, -0.016404, -0.475807, 0.657562, 0.002767, 0.000000, 0.000000], [0.193171, -0.209640, 0.395565, 0.636447, -0.297112, -0.188349, -0.364927, 0.316665, 0.000000, 0.000000], [0.516935, 0.257408, 0.020465, -0.411730, 0.054765, -0.242851, -0.636935, -0.170051, 0.000000, 0.000000], [0.244559, 0.002236, 0.468598, 0.164200, 0.079607, 0.585717, 0.047942, -0.584756, 0.000000, 0.000000], [0.254886, -0.024316, -0.310220, 0.438835, 0.800767, -0.054462, -0.016136, 0.034275, 0.000000, 0.000000], [0.132763, 0.507540, 0.157426, -0.097745, 0.093244, 0.491380, 0.024740, 0.663083, 0.000000, 0.000000]]
fourier: [[35.221670, 37.450468, 41.224453, 43.256855, 48.712024], [35.799355, 40.582908, 45.034498, 57.302101, 194.810804], [30.665604, 32.391496, 35.762189, 38.064735, 65.047087], [21.018550, 21.123797, 24.850354, 26.119496, 33.990754], [36.478870, 37.742467, 40.231255, 50.666497, 59.532988], [21.932555, 23.188296, 28.393396, 28.771314, 161.367369], [25.381627, 25.469610, 25.487941, 26.628420, 109.041921], [18.710728, 19.212861, 24.345346, 26.819568, 98.130004]]
### 2
mean: [-4.022936, -3.990232, 0.746489, 0.288232, 0.240728, -1.051260, 0.814125, 0.572937]
std: [2.838438, 2.913678, 3.447339, 2.716070, 3.026428, 1.482489, 2.202076, 2.271869]
pca: [[-0.345703, 0.605819, 0.138443, 0.155130, 0.388049, -0.023729, 0.330623, -0.458023, 0.000000, 0.000000], [-0.362233, 0.577089, -0.256109, -0.051327, -0.174957, 0.041446, -0.251879, 0.609720, 0.000000, 0.000000], [0.478559, 0.229244, 0.350695, -0.136524, 0.036104, -0.097071, 0.591806, 0.464587, 0.000000, 0.000000], [-0.363483, -0.340088, -0.192805, 0.544549, 0.016032, -0.448715, 0.383469, 0.264312, 0.000000, 0.000000], [-0.410642, -0.336804, 0.244471, -0.139705, 0.400279, 0.612550, 0.131305, 0.293209, 0.000000, 0.000000], [-0.171301, 0.042443, 0.718428, 0.378551, -0.526924, 0.096855, -0.147181, -0.026887, 0.000000, 0.000000], [0.306196, 0.063508, 0.189799, 0.449535, 0.595464, -0.115509, -0.501741, 0.210813, 0.000000, 0.000000], [0.310501, 0.111657, -0.378355, 0.541504, -0.157473, 0.623707, 0.198281, -0.040227, 0.000000, 0.000000]]
fourier: [[40.245240, 43.909414, 50.143094, 58.357459, 362.064294], [42.749162, 49.606140, 50.728361, 51.105111, 359.120865], [53.780510, 60.442432, 61.076098, 67.184009, 71.705721], [38.941082, 43.824341, 46.486980, 50.498800, 58.813151], [40.570477, 44.886519, 50.957314, 58.857010, 62.450120], [18.970595, 20.740903, 25.681186, 38.204560, 94.613360], [35.631734, 36.006209, 37.434669, 41.752628, 73.271261], [33.654230, 37.975804, 42.852108, 44.796787, 51.564354]]
### 4
mean: [1.275288, -0.017406, 1.146148, -0.287293, 1.595428, -0.455899, 0.017088, 0.134337]
std: [2.662138, 1.933457, 2.283548, 0.288355, 1.051305, 2.857534, 0.596024, 0.803028]
pca: [[-0.533907, 0.068432, 0.174871, 0.629565, 0.128930, 0.056308, -0.017738, -0.513050, 0.000000, 0.000000], [0.383249, 0.222977, 0.422122, 0.005002, 0.188789, 0.762529, -0.022353, -0.087167, 0.000000, 0.000000], [-0.457208, 0.125429, 0.301350, 0.164425, -0.045662, 0.128221, 0.011617, 0.799200, 0.000000, 0.000000], [-0.001656, -0.215515, -0.232433, 0.069922, 0.624012, 0.071734, 0.696896, 0.120147, 0.000000, 0.000000], [-0.023652, 0.883435, 0.044639, -0.192448, 0.205406, -0.323607, 0.168490, -0.068213, 0.000000, 0.000000], [0.573549, 0.010064, 0.132398, 0.624814, 0.175902, -0.391590, -0.169771, 0.223411, 0.000000, 0.000000], [0.100429, -0.157055, 0.621635, -0.057112, -0.406158, -0.246006, 0.576605, -0.132663, 0.000000, 0.000000], [-0.139348, -0.279633, 0.490352, -0.375510, 0.564059, -0.274244, -0.351713, -0.062131, 0.000000, 0.000000]]
fourier: [[43.137848, 43.817532, 49.209423, 51.958092, 114.775917], [29.385578, 30.115243, 32.994496, 35.534939, 40.637678], [37.863939, 38.863687, 40.631457, 44.856074, 103.153306], [4.115827, 4.304492, 4.312863, 4.578341, 25.856373], [14.504323, 16.066601, 16.745920, 24.353255, 143.588529], [43.969944, 46.154257, 50.675428, 54.053810, 54.945610], [8.759812, 9.028935, 9.176949, 9.946526, 12.410661], [12.090317, 13.467400, 14.477576, 16.157352, 17.156207]]
### 6
mean: [-0.115675, -1.104130, -0.773232, -0.918298, -1.414594, -1.500281, -1.243629, -2.508411]
std: [2.617103, 0.583755, 1.636471, 3.478414, 4.434227, 2.856964, 2.874689, 1.568418]
pca: [[-0.350549, 0.195226, -0.142135, -0.442147, 0.613492, 0.310639, 0.100626, 0.374582, 0.000000, 0.000000], [0.028594, 0.183016, 0.640185, 0.343079, 0.058282, -0.119780, -0.164214, 0.627246, 0.000000, 0.000000], [-0.189432, 0.327783, -0.342155, 0.716404, 0.397836, -0.167823, 0.101668, -0.172032, 0.000000, 0.000000], [0.469224, 0.211340, 0.026535, -0.220544, 0.421437, -0.246517, -0.624650, -0.239277, 0.000000, 0.000000], [0.594439, 0.319571, -0.493023, 0.032178, -0.231796, 0.161687, 0.129203, 0.451491, 0.000000, 0.000000], [-0.335626, 0.561050, -0.062319, -0.323695, -0.341442, -0.587405, 0.042061, 0.022817, 0.000000, 0.000000], [0.388717, 0.146723, 0.364811, -0.130909, 0.263309, -0.158078, 0.729546, -0.224923, 0.000000, 0.000000], [-0.056028, 0.581254, 0.268596, 0.044469, -0.211437, 0.635646, -0.108096, -0.352771, 0.000000, 0.000000]]
fourier: [[40.349011, 41.292410, 44.202834, 46.023177, 59.087250], [8.715228, 8.770331, 9.400480, 11.090135, 99.371739], [23.735457, 24.601005, 33.352525, 38.477177, 69.590915], [60.061704, 60.695118, 62.518498, 64.810331, 82.646811], [73.594531, 76.800125, 77.910718, 85.451036, 127.313423], [42.722117, 42.843139, 55.053080, 68.747356, 135.025339], [49.907744, 51.461657, 52.054195, 52.868519, 111.926630], [24.095919, 24.837509, 27.322424, 33.755080, 225.757034]]
### 8
mean: [1.159958, 0.913993, -0.144767, 0.317717, 1.050823, -1.527716, -0.822432, 1.893647]
std: [1.560830, 1.290743, 2.266924, 1.386299, 1.306078, 2.683199, 3.401079, 2.660851]
pca: [[-0.250040, 0.249627, 0.657093, -0.149125, 0.241561, -0.125014, -0.185562, -0.559235, 0.000000, 0.000000], [-0.208758, 0.002118, 0.017477, -0.575595, 0.359180, -0.426050, 0.409559, 0.382797, 0.000000, 0.000000], [0.359885, 0.632899, -0.079404, 0.356756, 0.188612, -0.118204, 0.519208, -0.131217, 0.000000, 0.000000], [-0.220584, -0.346936, -0.349430, 0.163789, 0.684247, 0.291863, 0.144754, -0.328205, 0.000000, 0.000000], [-0.210636, -0.055818, 0.437311, 0.589360, 0.279315, -0.002046, -0.080933, 0.573899, 0.000000, 0.000000], [0.430838, -0.457872, 0.496862, -0.103808, -0.075776, 0.310652, 0.492174, -0.051013, 0.000000, 0.000000], [0.549860, 0.209793, 0.020081, -0.305055, 0.452490, 0.293755, -0.462078, 0.235847, 0.000000, 0.000000], [-0.428242, 0.399976, 0.031641, -0.202906, -0.142704, 0.721731, 0.212123, 0.167929, 0.000000, 0.000000]]
fourier: [[22.773225, 25.339926, 30.335669, 35.087826, 104.396201], [18.766140, 20.312157, 24.639366, 28.730509, 82.259364], [31.239125, 34.346549, 37.440236, 42.571849, 48.797357], [20.642685, 23.008374, 25.680866, 28.594565, 29.171706], [19.968275, 20.434304, 25.203349, 28.756217, 94.574072], [41.305224, 41.388990, 50.885884, 59.667074, 137.494476], [50.064860, 54.529312, 64.564432, 74.018879, 75.306055], [40.568280, 41.561893, 50.882461, 59.722627, 170.428241]]
### 10
mean: [-3.025901]
std: [5.571476]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[83.889577, 87.019906, 106.891590, 124.019517, 272.331055]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.015608, 0.172047, -0.242968, 0.128613, 0.806302], [-0.207723, 0.197452, 0.260825, -0.007209, 1.287127], [0.14418, 0.282741, 0.213672, 0.452169, -1.01591], [0.528312, 0.307644, -0.359465, 0.258618, -0.268329], [0.039287, 0.072524, 0.424999, 0.349229, -1.308256], [0.25292, 0.361148, 0.068859, 0.320403, -0.437651], [-0.066276, 0.524498, -0.134274, -0.431047, -0.549637], [-0.437056, 0.216403, 0.214754, 0.325737, -0.342447]], "network.0.bias": [-0.04561, -0.053568, -0.134927, -0.414708, 0.45727, 0.528978, -0.202126, 0.515119], "network.2.weight": [[-0.230325, -0.032856, -0.750825, -0.0466, -0.863888, -0.619601, 0.342585, -0.067], [0.144496, -0.127425, -0.609173, 0.020825, -0.97643, -0.496769, 0.514183, -0.388434], [-0.508591, -0.633029, 0.438815, -0.032559, 0.696305, 0.198109, 0.456834, 0.274512], [0.310849, 0.689343, -0.61554, -0.005881, -0.083993, 0.075027, -0.654457, -0.30543], [0.326354, 0.700189, -0.445591, -0.372799, -0.421734, -0.138186, -0.618238, 0.157393], [-0.222227, 0.31238, -0.247691, -0.412727, 0.381659, -0.508424, -0.450156, -0.197556], [-0.555901, -0.243922, 0.441619, -0.130629, 0.251303, 0.366894, -0.20381, 0.150887], [-0.164347, -0.44902, 0.401587, 0.238133, 0.216966, 0.486698, -0.472425, -0.207241]], "network.2.bias": [-0.613724, -0.541972, 0.32958, -0.279425, -0.051321, -0.370571, 0.115343, 0.132287], "network.4.weight": [[0.291078, 0.500235, 0.696578, -0.166184, -0.226713, -0.451021, 0.352109, 0.102406], [-0.55671, -0.449679, -0.315191, 0.347807, 0.210506, -0.123211, -0.22518, -0.063181], [0.188531, 0.353779, 0.677773, -0.153913, -0.158988, -0.173705, 0.301745, 0.041051], [0.071974, 0.35787, -0.088664, 0.23362, -0.364742, -0.007037, -0.036209, -0.056724], [-0.465586, -0.371819, -0.144192, 0.390523, 0.05623, 0.355914, 0.392452, 0.598925], [-0.398243, -0.658779, -0.75903, 0.253513, 0.377994, -0.491466, -0.249097, -0.095653], [-0.50557, 0.109569, 0.145332, -0.179649, 0.276348, -0.266211, -0.094168, -0.410641], [-0.174143, 0.25059, 0.372915, 0.235152, -0.46122, -0.002747, 0.081808, -0.45004]], "network.4.bias": [-0.013229, 0.22163, -0.106283, 0.205014, 0.05169, 0.582089, 0.221163, 0.202834], "network.6.weight": [[0.539273, -0.606515, 0.38555, 0.173792, -0.747583, -0.226576, 0.322008, 0.201741], [-0.361862, 0.371232, -0.066341, 0.038837, 0.094963, -0.708804, -0.245798, -0.095069], [0.30557, 0.145957, -0.030664, 0.384573, -0.690002, -0.723082, 0.668021, 0.658296], [-0.539971, 0.082268, -0.865181, 0.055613, 0.232054, 0.571553, 0.172356, -0.487997], [-0.742972, 0.403397, -0.892191, -0.139616, -0.075606, 0.668502, 0.35909, -0.44262], [0.431546, -0.498879, 0.173882, -0.258082, -1.299913, -0.542973, -0.155798, 0.214923], [-0.686251, 0.314511, -0.501292, 0.298562, 0.337385, 0.192812, -0.123257, -0.606702], [-0.446782, 0.161832, 0.198053, -0.33179, -0.8345, -0.833836, -0.023431, -0.11155]], "network.6.bias": [0.012426, -0.005121, 0.120769, 0.563115, 0.562052, 0.244523, 0.068333, -0.041737], "network.8.weight": [[0.107627, -0.297045, -0.597556, 0.091716, 0.420692, -0.083963, 0.614976, -0.633384], [-0.147074, -0.02643, -0.373993, 0.099679, 0.311181, 0.076286, 0.41673, -0.43229], [0.628263, -0.526266, 0.373478, -0.523304, -0.247573, 0.40743, -0.351667, 0.011527], [-0.362488, -0.156511, -0.154292, 0.690782, 0.081918, -0.115906, -0.149279, -0.144794], [-0.030671, -0.21713, -0.353726, 0.51582, 0.152343, -0.308667, 0.114467, -0.487041], [0.074284, -0.169937, -0.183042, -0.765736, -0.791499, 0.071832, -0.047395, -0.15108], [0.470039, -0.624264, 0.048172, -0.939791, -0.700455, 0.643541, -0.223298, 1.2e-05], [-0.044087, -0.235702, 0.019869, 0.479863, 0.772814, -0.269497, 0.436742, 0.128906]], "network.8.bias": [0.075033, 0.303822, 0.14417, -0.053508, 0.334397, 0.219734, 0.532601, 0.211042], "network.10.weight": [[-0.507678, -0.697187, 0.331097, -0.689142, -0.69444, 0.013084, 0.285036, -0.692835]], "network.10.bias": [0.0912]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828575730323792, "train_acc": 0.59, "val_loss": 0.7136337161064148, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6633885204792023, "train_acc": 0.59, "val_loss": 0.6344306468963623, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6606322526931763, "train_acc": 0.655, "val_loss": 0.5194389820098877, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5279107987880707, "train_acc": 0.745, "val_loss": 0.5320116281509399, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5012753158807755, "train_acc": 0.74, "val_loss": 0.5286990404129028, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4611530154943466, "train_acc": 0.795, "val_loss": 0.5156056880950928, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4419752210378647, "train_acc": 0.82, "val_loss": 0.4928785562515259, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3927835077047348, "train_acc": 0.82, "val_loss": 0.4722156226634979, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.32916590571403503, "train_acc": 0.835, "val_loss": 0.46621769666671753, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.4068624675273895, "train_acc": 0.85, "val_loss": 0.5372183322906494, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3379080891609192, "train_acc": 0.87, "val_loss": 0.5490456223487854, "val_acc": 0.68}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.46753549575805664, "train_acc": 0.755, "val_loss": 0.5193834900856018, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7136337161064148, "final_val_loss": 0.6344306468963623, "initial_val_acc": 0.48, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5194389820098877, "final_val_loss": 0.5193834900856018, "initial_val_acc": 0.74, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 11}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
86
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4634, "learning_rate": 0.06763343703882889, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-2.508844, 0.461213, 0.578811, 1.688913, -2.095328, 1.065291, 1.300602]
std: [1.731429, 1.075273, 1.285173, 2.085670, 1.280426, 1.999956, 1.541044]
pca: [[-0.486670, -0.168158, -0.463397, -0.238945, 0.151468, 0.163754, 0.642873, 0.000000, 0.000000, 0.000000], [-0.151372, 0.225561, 0.207622, 0.762968, -0.295962, -0.047533, 0.459488, 0.000000, 0.000000, 0.000000], [-0.255168, 0.139248, 0.594265, -0.233757, -0.042274, 0.711151, 0.013546, 0.000000, 0.000000, 0.000000], [-0.185665, 0.912321, -0.301447, -0.123573, 0.015046, -0.030013, -0.161033, 0.000000, 0.000000, 0.000000], [-0.301537, -0.192447, -0.365294, 0.508452, 0.203915, 0.423687, -0.508906, 0.000000, 0.000000, 0.000000], [0.602774, 0.039396, -0.399024, -0.012495, -0.441258, 0.508837, 0.148703, 0.000000, 0.000000, 0.000000], [0.431736, 0.174751, 0.073998, 0.179423, 0.806946, 0.160823, 0.261482, 0.000000, 0.000000, 0.000000]]
fourier: [[26.922446, 27.773791, 29.567264, 33.703882, 225.795986], [17.908241, 20.250512, 20.384800, 20.933783, 41.509178], [18.502062, 19.024533, 21.961815, 22.329269, 52.092969], [30.257758, 31.812861, 32.590059, 40.284865, 152.002191], [19.595414, 20.362251, 23.453379, 27.243021, 188.579480], [30.955256, 34.167669, 36.773579, 37.703479, 95.876221], [23.181461, 28.559100, 28.645137, 29.943902, 117.054164]]
### 2
mean: [-0.949267, -0.321346, -0.263450, -0.747942, 0.165153, -0.807629, -1.401761]
std: [1.658003, 1.809257, 1.149268, 0.441609, 1.036728, 1.447262, 0.591879]
pca: [[0.507694, 0.390337, -0.473271, 0.221634, -0.552479, -0.009316, -0.107041, 0.000000, 0.000000, 0.000000], [0.567453, -0.213432, 0.361832, 0.202469, 0.011494, 0.160649, 0.659232, 0.000000, 0.000000, 0.000000], [0.342914, 0.381759, -0.287299, -0.405576, 0.641964, -0.230800, 0.155728, 0.000000, 0.000000, 0.000000], [0.060648, 0.381473, 0.344524, 0.696418, 0.371739, -0.107995, -0.311852, 0.000000, 0.000000, 0.000000], [-0.308982, 0.360438, -0.220881, 0.110739, 0.137657, 0.786469, 0.275828, 0.000000, 0.000000, 0.000000], [0.451039, -0.275709, 0.086738, -0.205215, 0.169427, 0.536073, -0.595679, 0.000000, 0.000000, 0.000000], [0.008365, 0.552170, 0.622529, -0.453892, -0.310922, 0.057153, -0.039221, 0.000000, 0.000000, 0.000000]]
fourier: [[26.746991, 29.013836, 33.594934, 33.922805, 85.434070], [28.459632, 28.921165, 30.202294, 30.990597, 35.626247], [18.955393, 19.376332, 23.107138, 23.279080, 23.710494], [6.595712, 6.796025, 6.845941, 7.648091, 67.314753], [14.863775, 15.321971, 15.349593, 17.422906, 20.158369], [22.881507, 24.047816, 24.397033, 28.170639, 72.686579], [8.284517, 8.515803, 9.153471, 9.455211, 126.158523]]
### 4
mean: [-0.218403, -0.842560, -0.484197, 0.716615, -0.539265, 0.188019, 0.568133]
std: [0.098464, 0.831065, 0.425476, 1.711532, 0.449924, 1.729830, 0.257615]
pca: [[-0.036425, -0.009815, 0.068204, -0.500293, -0.036925, 0.848980, 0.146631, 0.000000, 0.000000, 0.000000], [-0.311420, 0.438374, 0.584777, -0.297514, 0.458797, -0.232394, 0.125960, 0.000000, 0.000000, 0.000000], [-0.158093, -0.315409, 0.407074, 0.682907, 0.180957, 0.308452, 0.339947, 0.000000, 0.000000, 0.000000], [0.645763, -0.011714, 0.401376, 0.071690, 0.221147, 0.148723, -0.587866, 0.000000, 0.000000, 0.000000], [-0.158621, 0.756837, -0.246599, 0.434019, -0.011801, 0.316576, -0.229115, 0.000000, 0.000000, 0.000000], [0.652137, 0.346304, 0.000320, 0.032501, -0.084246, -0.067392, 0.664903, 0.000000, 0.000000, 0.000000], [0.096149, -0.124029, -0.515519, -0.016200, 0.836214, 0.056591, 0.083023, 0.000000, 0.000000, 0.000000]]
fourier: [[1.405926, 1.467192, 1.833955, 1.852795, 19.656252], [13.119776, 14.498536, 15.012685, 16.034525, 75.830360], [6.758113, 7.181273, 7.609653, 8.337733, 43.577750], [26.431236, 26.562570, 30.670512, 31.042564, 64.495358], [7.380528, 7.606555, 8.799207, 9.025610, 48.533843], [25.734542, 26.140502, 28.341698, 30.920166, 31.119181], [4.277714, 4.559099, 4.704894, 4.931189, 51.131934]]
### 6
mean: [-0.692203, -0.116123, -0.082572, 0.279933, -0.206048, 0.568357, -0.056170]
std: [1.067379, 0.076348, 0.470831, 1.375436, 0.231612, 1.028945, 0.901054]
pca: [[-0.468973, 0.131493, 0.405573, 0.504247, 0.049397, -0.260941, 0.522962, 0.000000, 0.000000, 0.000000], [-0.031962, 0.398058, -0.487155, -0.360070, -0.383535, -0.323031, 0.471284, 0.000000, 0.000000, 0.000000], [0.206333, 0.630421, -0.110494, 0.036404, 0.726961, 0.116453, 0.066549, 0.000000, 0.000000, 0.000000], [0.604316, 0.207120, 0.582989, -0.106751, -0.178589, -0.451803, -0.067909, 0.000000, 0.000000, 0.000000], [0.101695, 0.038684, -0.451797, 0.612451, -0.045603, -0.495538, -0.401631, 0.000000, 0.000000, 0.000000], [0.451891, -0.584884, -0.199275, 0.072430, 0.319231, -0.144507, 0.534750, 0.000000, 0.000000, 0.000000], [0.395883, 0.200859, -0.047696, 0.472251, -0.431401, 0.586032, 0.219309, 0.000000, 0.000000, 0.000000]]
fourier: [[16.484385, 18.790887, 18.930732, 20.039068, 62.298271], [1.219669, 1.340778, 1.351741, 1.372208, 10.451102], [7.431494, 7.606643, 8.068680, 8.266112, 8.990196], [21.462103, 24.051689, 24.358415, 25.193989, 25.735987], [3.616940, 4.061332, 4.133101, 4.392600, 18.544329], [15.857997, 18.222321, 18.313113, 19.126804, 51.152132], [13.675979, 14.095854, 15.748413, 15.979062, 16.920509]]
### 8
mean: [-0.286691, 0.471569, 0.750474, 0.575675, -0.475147, -0.513768, 0.699448]
std: [0.380974, 0.158472, 1.479858, 1.274583, 0.273648, 1.043575, 0.083241]
pca: [[-0.167817, -0.105983, -0.243460, -0.225072, -0.274811, 0.847935, 0.236980, 0.000000, 0.000000, 0.000000], [0.066802, 0.722278, -0.371253, -0.356292, -0.355786, -0.143431, -0.248844, 0.000000, 0.000000, 0.000000], [0.652017, -0.088495, 0.009283, 0.030126, -0.436302, -0.176782, 0.586888, 0.000000, 0.000000, 0.000000], [0.561504, 0.326084, 0.148253, 0.450260, 0.194744, 0.465176, -0.315208, 0.000000, 0.000000, 0.000000], [-0.120358, 0.043572, 0.810248, -0.155705, -0.501261, 0.070807, -0.215855, 0.000000, 0.000000, 0.000000], [-0.459636, 0.435490, 0.043535, 0.630329, -0.160166, -0.025076, 0.416642, 0.000000, 0.000000, 0.000000], [0.034799, 0.401707, 0.349908, -0.444071, 0.541014, 0.084558, 0.466840, 0.000000, 0.000000, 0.000000]]
fourier: [[5.833449, 6.615305, 6.660032, 7.095473, 25.802202], [2.861929, 2.882796, 2.891451, 2.902204, 42.441199], [23.002985, 25.533994, 25.783581, 27.525684, 67.542660], [19.687849, 22.112380, 22.300428, 23.734775, 51.810795], [4.454327, 4.664941, 4.745149, 5.115740, 42.763202], [16.302576, 17.914782, 18.091105, 19.368352, 46.239095], [1.442912, 1.464050, 1.504870, 1.560170, 62.950350]]
### 10
mean: [0.045303, 0.532666, 0.738908, -0.266875, 0.895873, -0.586222, -0.608949]
std: [0.515560, 1.558212, 0.049244, 0.036252, 0.217631, 0.097468, 0.062077]
pca: [[0.310423, -0.320092, -0.209940, -0.145765, 0.838099, 0.180965, 0.026417, 0.000000, 0.000000, 0.000000], [0.938486, 0.149212, 0.106141, 0.161642, -0.227015, -0.051907, 0.073185, 0.000000, 0.000000, 0.000000], [0.024742, 0.693203, -0.229386, -0.519303, 0.011289, 0.433637, 0.091628, 0.000000, 0.000000, 0.000000], [-0.020807, -0.255899, 0.723818, -0.150417, -0.063807, 0.557886, 0.268769, 0.000000, 0.000000, 0.000000], [-0.130415, 0.555819, 0.342624, 0.570099, 0.453904, -0.060266, 0.148298, 0.000000, 0.000000, 0.000000], [-0.058659, -0.088006, -0.254005, 0.013878, -0.065834, -0.171386, 0.943608, 0.000000, 0.000000, 0.000000], [-0.037258, -0.112174, -0.431530, 0.578894, -0.177462, 0.657476, -0.030418, 0.000000, 0.000000, 0.000000]]
fourier: [[7.779029, 8.096053, 8.779210, 8.898757, 9.591509], [24.236555, 26.840998, 27.119049, 28.999922, 47.939917], [0.849807, 0.877226, 0.911029, 0.995878, 66.501741], [0.640068, 0.653786, 0.667133, 0.674968, 24.018741], [3.490495, 3.580084, 3.659462, 4.028879, 80.628573], [1.482093, 1.709194, 1.713861, 1.806625, 52.760001], [0.910885, 1.105760, 1.116526, 1.137904, 54.805446]]
### 12
mean: [-0.267660]
std: [1.124671]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.558476, 19.134590, 19.361048, 20.870610, 24.089438]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.428561,
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]
],
"network.6.bias": [
-0.127392,
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-0.428709
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"network.8.weight": [
[
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[
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[
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[
-0.074083,
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[
-0.305265,
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[
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]
],
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-0.105464,
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"network.10.weight": [
[
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[
-0.315883,
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[
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[
0.370908,
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[
0.359993,
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"network.12.weight": [
[
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"network.12.bias": [
-0.153134
]
}
## Activation Signature
### 0
mean: [-2.508844, 0.461213, 0.578811, 1.688913, -2.095328, 1.065291, 1.300602]
std: [1.731429, 1.075273, 1.285173, 2.085670, 1.280426, 1.999956, 1.541044]
pca: [[-0.486670, -0.168158, -0.463397, -0.238945, 0.151468, 0.163754, 0.642873, 0.000000, 0.000000, 0.000000], [-0.151372, 0.225561, 0.207622, 0.762968, -0.295962, -0.047533, 0.459488, 0.000000, 0.000000, 0.000000], [-0.255168, 0.139248, 0.594265, -0.233757, -0.042274, 0.711151, 0.013546, 0.000000, 0.000000, 0.000000], [-0.185665, 0.912321, -0.301447, -0.123573, 0.015046, -0.030013, -0.161033, 0.000000, 0.000000, 0.000000], [-0.301537, -0.192447, -0.365294, 0.508452, 0.203915, 0.423687, -0.508906, 0.000000, 0.000000, 0.000000], [0.602774, 0.039396, -0.399024, -0.012495, -0.441258, 0.508837, 0.148703, 0.000000, 0.000000, 0.000000], [0.431736, 0.174751, 0.073998, 0.179423, 0.806946, 0.160823, 0.261482, 0.000000, 0.000000, 0.000000]]
fourier: [[26.922446, 27.773791, 29.567264, 33.703882, 225.795986], [17.908241, 20.250512, 20.384800, 20.933783, 41.509178], [18.502062, 19.024533, 21.961815, 22.329269, 52.092969], [30.257758, 31.812861, 32.590059, 40.284865, 152.002191], [19.595414, 20.362251, 23.453379, 27.243021, 188.579480], [30.955256, 34.167669, 36.773579, 37.703479, 95.876221], [23.181461, 28.559100, 28.645137, 29.943902, 117.054164]]
### 2
mean: [-0.949267, -0.321346, -0.263450, -0.747942, 0.165153, -0.807629, -1.401761]
std: [1.658003, 1.809257, 1.149268, 0.441609, 1.036728, 1.447262, 0.591879]
pca: [[0.507694, 0.390337, -0.473271, 0.221634, -0.552479, -0.009316, -0.107041, 0.000000, 0.000000, 0.000000], [0.567453, -0.213432, 0.361832, 0.202469, 0.011494, 0.160649, 0.659232, 0.000000, 0.000000, 0.000000], [0.342914, 0.381759, -0.287299, -0.405576, 0.641964, -0.230800, 0.155728, 0.000000, 0.000000, 0.000000], [0.060648, 0.381473, 0.344524, 0.696418, 0.371739, -0.107995, -0.311852, 0.000000, 0.000000, 0.000000], [-0.308982, 0.360438, -0.220881, 0.110739, 0.137657, 0.786469, 0.275828, 0.000000, 0.000000, 0.000000], [0.451039, -0.275709, 0.086738, -0.205215, 0.169427, 0.536073, -0.595679, 0.000000, 0.000000, 0.000000], [0.008365, 0.552170, 0.622529, -0.453892, -0.310922, 0.057153, -0.039221, 0.000000, 0.000000, 0.000000]]
fourier: [[26.746991, 29.013836, 33.594934, 33.922805, 85.434070], [28.459632, 28.921165, 30.202294, 30.990597, 35.626247], [18.955393, 19.376332, 23.107138, 23.279080, 23.710494], [6.595712, 6.796025, 6.845941, 7.648091, 67.314753], [14.863775, 15.321971, 15.349593, 17.422906, 20.158369], [22.881507, 24.047816, 24.397033, 28.170639, 72.686579], [8.284517, 8.515803, 9.153471, 9.455211, 126.158523]]
### 4
mean: [-0.218403, -0.842560, -0.484197, 0.716615, -0.539265, 0.188019, 0.568133]
std: [0.098464, 0.831065, 0.425476, 1.711532, 0.449924, 1.729830, 0.257615]
pca: [[-0.036425, -0.009815, 0.068204, -0.500293, -0.036925, 0.848980, 0.146631, 0.000000, 0.000000, 0.000000], [-0.311420, 0.438374, 0.584777, -0.297514, 0.458797, -0.232394, 0.125960, 0.000000, 0.000000, 0.000000], [-0.158093, -0.315409, 0.407074, 0.682907, 0.180957, 0.308452, 0.339947, 0.000000, 0.000000, 0.000000], [0.645763, -0.011714, 0.401376, 0.071690, 0.221147, 0.148723, -0.587866, 0.000000, 0.000000, 0.000000], [-0.158621, 0.756837, -0.246599, 0.434019, -0.011801, 0.316576, -0.229115, 0.000000, 0.000000, 0.000000], [0.652137, 0.346304, 0.000320, 0.032501, -0.084246, -0.067392, 0.664903, 0.000000, 0.000000, 0.000000], [0.096149, -0.124029, -0.515519, -0.016200, 0.836214, 0.056591, 0.083023, 0.000000, 0.000000, 0.000000]]
fourier: [[1.405926, 1.467192, 1.833955, 1.852795, 19.656252], [13.119776, 14.498536, 15.012685, 16.034525, 75.830360], [6.758113, 7.181273, 7.609653, 8.337733, 43.577750], [26.431236, 26.562570, 30.670512, 31.042564, 64.495358], [7.380528, 7.606555, 8.799207, 9.025610, 48.533843], [25.734542, 26.140502, 28.341698, 30.920166, 31.119181], [4.277714, 4.559099, 4.704894, 4.931189, 51.131934]]
### 6
mean: [-0.692203, -0.116123, -0.082572, 0.279933, -0.206048, 0.568357, -0.056170]
std: [1.067379, 0.076348, 0.470831, 1.375436, 0.231612, 1.028945, 0.901054]
pca: [[-0.468973, 0.131493, 0.405573, 0.504247, 0.049397, -0.260941, 0.522962, 0.000000, 0.000000, 0.000000], [-0.031962, 0.398058, -0.487155, -0.360070, -0.383535, -0.323031, 0.471284, 0.000000, 0.000000, 0.000000], [0.206333, 0.630421, -0.110494, 0.036404, 0.726961, 0.116453, 0.066549, 0.000000, 0.000000, 0.000000], [0.604316, 0.207120, 0.582989, -0.106751, -0.178589, -0.451803, -0.067909, 0.000000, 0.000000, 0.000000], [0.101695, 0.038684, -0.451797, 0.612451, -0.045603, -0.495538, -0.401631, 0.000000, 0.000000, 0.000000], [0.451891, -0.584884, -0.199275, 0.072430, 0.319231, -0.144507, 0.534750, 0.000000, 0.000000, 0.000000], [0.395883, 0.200859, -0.047696, 0.472251, -0.431401, 0.586032, 0.219309, 0.000000, 0.000000, 0.000000]]
fourier: [[16.484385, 18.790887, 18.930732, 20.039068, 62.298271], [1.219669, 1.340778, 1.351741, 1.372208, 10.451102], [7.431494, 7.606643, 8.068680, 8.266112, 8.990196], [21.462103, 24.051689, 24.358415, 25.193989, 25.735987], [3.616940, 4.061332, 4.133101, 4.392600, 18.544329], [15.857997, 18.222321, 18.313113, 19.126804, 51.152132], [13.675979, 14.095854, 15.748413, 15.979062, 16.920509]]
### 8
mean: [-0.286691, 0.471569, 0.750474, 0.575675, -0.475147, -0.513768, 0.699448]
std: [0.380974, 0.158472, 1.479858, 1.274583, 0.273648, 1.043575, 0.083241]
pca: [[-0.167817, -0.105983, -0.243460, -0.225072, -0.274811, 0.847935, 0.236980, 0.000000, 0.000000, 0.000000], [0.066802, 0.722278, -0.371253, -0.356292, -0.355786, -0.143431, -0.248844, 0.000000, 0.000000, 0.000000], [0.652017, -0.088495, 0.009283, 0.030126, -0.436302, -0.176782, 0.586888, 0.000000, 0.000000, 0.000000], [0.561504, 0.326084, 0.148253, 0.450260, 0.194744, 0.465176, -0.315208, 0.000000, 0.000000, 0.000000], [-0.120358, 0.043572, 0.810248, -0.155705, -0.501261, 0.070807, -0.215855, 0.000000, 0.000000, 0.000000], [-0.459636, 0.435490, 0.043535, 0.630329, -0.160166, -0.025076, 0.416642, 0.000000, 0.000000, 0.000000], [0.034799, 0.401707, 0.349908, -0.444071, 0.541014, 0.084558, 0.466840, 0.000000, 0.000000, 0.000000]]
fourier: [[5.833449, 6.615305, 6.660032, 7.095473, 25.802202], [2.861929, 2.882796, 2.891451, 2.902204, 42.441199], [23.002985, 25.533994, 25.783581, 27.525684, 67.542660], [19.687849, 22.112380, 22.300428, 23.734775, 51.810795], [4.454327, 4.664941, 4.745149, 5.115740, 42.763202], [16.302576, 17.914782, 18.091105, 19.368352, 46.239095], [1.442912, 1.464050, 1.504870, 1.560170, 62.950350]]
### 10
mean: [0.045303, 0.532666, 0.738908, -0.266875, 0.895873, -0.586222, -0.608949]
std: [0.515560, 1.558212, 0.049244, 0.036252, 0.217631, 0.097468, 0.062077]
pca: [[0.310423, -0.320092, -0.209940, -0.145765, 0.838099, 0.180965, 0.026417, 0.000000, 0.000000, 0.000000], [0.938486, 0.149212, 0.106141, 0.161642, -0.227015, -0.051907, 0.073185, 0.000000, 0.000000, 0.000000], [0.024742, 0.693203, -0.229386, -0.519303, 0.011289, 0.433637, 0.091628, 0.000000, 0.000000, 0.000000], [-0.020807, -0.255899, 0.723818, -0.150417, -0.063807, 0.557886, 0.268769, 0.000000, 0.000000, 0.000000], [-0.130415, 0.555819, 0.342624, 0.570099, 0.453904, -0.060266, 0.148298, 0.000000, 0.000000, 0.000000], [-0.058659, -0.088006, -0.254005, 0.013878, -0.065834, -0.171386, 0.943608, 0.000000, 0.000000, 0.000000], [-0.037258, -0.112174, -0.431530, 0.578894, -0.177462, 0.657476, -0.030418, 0.000000, 0.000000, 0.000000]]
fourier: [[7.779029, 8.096053, 8.779210, 8.898757, 9.591509], [24.236555, 26.840998, 27.119049, 28.999922, 47.939917], [0.849807, 0.877226, 0.911029, 0.995878, 66.501741], [0.640068, 0.653786, 0.667133, 0.674968, 24.018741], [3.490495, 3.580084, 3.659462, 4.028879, 80.628573], [1.482093, 1.709194, 1.713861, 1.806625, 52.760001], [0.910885, 1.105760, 1.116526, 1.137904, 54.805446]]
### 12
mean: [-0.267660]
std: [1.124671]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.558476, 19.134590, 19.361048, 20.870610, 24.089438]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.5088441371917725, "std": 1.7314292192459106, "pca": [-0.48667022585868835, -0.1681583821773529, -0.4633970558643341, -0.23894451558589935, 0.15146782994270325, 0.16375400125980377, 0.6428729891777039, 0.0, 0.0, 0.0], "fourier": [26.92244602239854, 27.773791019696276, 29.56726360464441, 33.70388192870951, 225.79598581790924]}, "1": {"mean": 0.46121305227279663, "std": 1.0752733945846558, "pca": [-0.15137240290641785, 0.22556065022945404, 0.20762179791927338, 0.7629681825637817, -0.2959616780281067, -0.04753251373767853, 0.4594876170158386, 0.0, 0.0, 0.0], "fourier": [17.90824074212422, 20.250511729088796, 20.384800260579805, 20.933783499276423, 41.50917808711529]}, "2": {"mean": 0.5788107514381409, "std": 1.285172939300537, "pca": [-0.2551676630973816, 0.1392480581998825, 0.5942649841308594, -0.23375731706619263, -0.04227398708462715, 0.7111508250236511, 0.01354576088488102, 0.0, 0.0, 0.0], "fourier": [18.50206166968634, 19.02453310477975, 21.96181466096675, 22.329269096067097, 52.09296926856041]}, "3": {"mean": 1.688913345336914, "std": 2.085670232772827, "pca": [-0.18566454946994781, 0.9123208522796631, -0.30144691467285156, -0.12357283383607864, 0.015045708045363426, -0.030013106763362885, -0.16103313863277435, 0.0, 0.0, 0.0], "fourier": [30.257757804562655, 31.812861359560323, 32.59005932258559, 40.284864517050494, 152.00219094753265]}, "4": {"mean": -2.095327615737915, "std": 1.2804256677627563, "pca": [-0.3015366494655609, -0.19244660437107086, -0.36529386043548584, 0.5084522366523743, 0.20391540229320526, 0.42368653416633606, -0.5089055895805359, 0.0, 0.0, 0.0], "fourier": [19.595414265431824, 20.362251485166592, 23.45337945391126, 27.24302050517071, 188.5794797539711]}, "5": {"mean": 1.0652912855148315, "std": 1.9999558925628662, "pca": [0.6027738451957703, 0.039396390318870544, -0.39902377128601074, -0.012494843453168869, -0.441257506608963, 0.5088366270065308, 0.14870306849479675, 0.0, 0.0, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.400849, -0.516844, -0.210171, 0.001701, -0.223683], [-0.543698, 0.402957, 0.160593, -0.234937, 0.225804], [-0.363722, -0.112277, 0.041543, 0.046111, 0.599429], [-0.712579, 0.241093, 0.31779, 0.650133, -0.216537], [-0.353418, -0.027112, -0.233794, -0.291467, -0.180053], [0.701594, 0.22893, 0.300523, 0.144391, -0.601297], [0.434101, 0.533938, -0.197839, 0.157279, -0.019731]], "network.0.bias": [-0.356951, 0.293394, 0.311078, 0.345414, -0.270644, -0.420763, -0.112244], "network.2.weight": [[-0.478681, -0.700021, -0.012993, -0.535216, 0.152444, 0.397592, 0.272367], [0.029061, -0.299705, -0.674108, -0.432932, -0.042592, 0.497277, 0.215263], [-0.434368, -0.435249, 0.004947, -0.433982, -0.38645, 0.141974, 0.31051], [0.182936, -0.063694, -0.040618, -0.247841, -0.201593, -0.085681, 0.012059], [-0.365409, 0.088737, 0.476927, 0.135254, 0.097086, -0.334078, -0.099632], [-0.050706, -0.233114, -0.494378, -0.28667, -0.005875, 0.429252, 0.210743], [-0.035228, -0.184309, -0.08986, -0.263527, 0.279966, -0.350554, 0.110328]], "network.2.bias": [-0.341918, 0.284213, 0.250847, -0.092071, 0.055354, -0.574898, -0.360695], "network.4.weight": [[-0.006035, -0.11012, 0.068993, -0.034154, 0.038507, -0.002309, -0.341693], [-0.277894, -0.529823, -0.087682, 0.141242, 0.096899, 0.136814, -0.305334], [-0.129328, -0.11113, -0.249272, 0.067951, 0.23338, 0.081221, 0.190841], [0.640797, 0.4323, 0.256223, 0.185427, -0.554227, 0.444549, 0.267811], [-0.202093, -0.119973, -0.096611, 0.314344, -0.139564, -0.121473, -0.356882], [0.635109, 0.496476, 0.29862, -0.196171, -0.681077, 0.283601, -0.352731], [-0.145203, 0.207636, 0.187817, 0.359352, -0.025613, 0.004901, 0.257557]], "network.4.bias": [-0.199872, -0.512177, -0.421223, 0.271403, -0.26, -0.194268, 0.456152], "network.6.weight": [[-0.185064, 0.181603, -0.071675, -0.288766, 0.362953, -0.379348, -0.139216], [0.039737, 0.20021, -0.052626, -0.265878, 0.031582, 0.199005, 0.257285], [-0.161705, 0.331697, 0.050438, -0.129304, -0.130863, 0.470601, -0.06499], [-0.167376, -0.35633, 0.091586, 0.424276, 0.102694, 0.556987, -0.550984], [-0.03567, -0.275558, 0.183294, -0.02505, -0.069497, 0.139735, 0.258489], [-0.189822, -0.193085, 0.181397, 0.494888, 0.343384, 0.136743, 0.080015], [0.222954, 0.045956, 0.199754, 0.178507, -0.07588, 0.428561, -0.093768]], "network.6.bias": [-0.127392, -0.167363, -0.240054, -0.120365, -0.422762, 0.019927, -0.428709], "network.8.weight": [[-0.187786, -0.220236, -0.303402, -0.070412, -0.092555, -0.178357, 0.02238], [-0.332127, -0.214133, -0.12348, -0.120849, -0.182101, 0.38784, -0.030671], [-0.099198, -0.075671, 0.322688, 0.59019, 0.166099, 0.292095, 0.386098], [-0.151996, 0.314202, 0.457757, 0.396476, 0.21288, 0.485748, 0.099856], [-0.074083, -0.17643, 0.029095, -0.398478, 0.292032, 0.093716, 0.117578], [-0.305265, 0.214347, -0.287353, -0.447394, 0.130692, -0.009837, -0.49906], [-0.01529, -0.09933, 0.260629, -0.277827, -0.078594, 0.308492, 0.036696]], "network.8.bias": [-0.105464, 0.351219, 0.099626, -0.018333, -0.371153, -0.083841, 0.624992], "network.10.weight": [[-0.121274, -0.152881, 0.20546, 0.217302, -0.271113, -0.073733, -0.538583], [-0.315883, -0.166985, 0.580805, 0.592922, -0.032107, -0.237907, -0.400445], [0.361686, 0.422405, 0.065473, -0.119086, -0.15425, 0.564406, 0.407245], [0.370908, -0.292976, 0.197889, -0.245646, 0.084245, -0.158022, 0.379715], [0.359993, 0.180962, -0.113091, -0.101205, -0.200249, -0.130167, 0.665736], [0.21036, 0.020017, -0.146829, 0.107292, 0.079482, -0.166029, -0.252048], [-0.236992, 0.013783, -0.292477, 0.31998, -0.027619, -0.507823, -0.493211]], "network.10.bias": [0.214821, 0.114291, 0.274287, -0.401405, 0.488022, -0.370941, -0.235181], "network.12.weight": [[0.363279, 0.556669, -0.075655, -0.047925, -0.527357, 0.098838, 0.131103]], "network.12.bias": [-0.153134]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.704754501581192, "train_acc": 0.43, "val_loss": 0.6847345232963562, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6774471700191498, "train_acc": 0.57, "val_loss": 0.6485351324081421, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6009996831417084, "train_acc": 0.61, "val_loss": 0.33663269877433777, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4354645162820816, "train_acc": 0.88, "val_loss": 0.23875126242637634, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.32210059463977814, "train_acc": 0.92, "val_loss": 0.13860182464122772, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.25100959092378616, "train_acc": 0.915, "val_loss": 0.14573934674263, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.20028189569711685, "train_acc": 0.95, "val_loss": 0.03246527537703514, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.13282328099012375, "train_acc": 0.935, "val_loss": 0.013758285902440548, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.12255113571882248, "train_acc": 0.945, "val_loss": 0.05926261469721794, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.16594546288251877, "train_acc": 0.955, "val_loss": 0.005618494935333729, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1324811764061451, "train_acc": 0.94, "val_loss": 0.004764692857861519, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17267661914229393, "train_acc": 0.945, "val_loss": 0.02716108039021492, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6847345232963562, "final_val_loss": 0.6485351324081421, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.33663269877433777, "final_val_loss": 0.02716108039021492, "initial_val_acc": 0.98, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 3}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
87
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3720, "learning_rate": 0.08108720880513055, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
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],
[
1.578701,
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0.578061
],
[
0.611367,
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-0.152999,
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-0.61879
],
[
-0.322985,
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0.53777,
-0.219446
]
],
"network.0.bias": [
0.317132,
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0.271435
],
"network.2.weight": [
[
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-0.066422,
-0.326105
],
[
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-0.057403,
-0.73027,
0.077672,
0.002542
],
[
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-0.025372,
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],
[
-0.388386,
0.308034,
0.001227,
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0.707278,
-0.283527
],
[
0.343529,
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0.045871,
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0.747717
],
[
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0.800177,
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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],
[
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[
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1.154668,
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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[
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],
[
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[
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[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.076434, -3.612293, -0.009945, 3.124870, 1.932639, 0.698826]
std: [2.031776, 2.220792, 1.066637, 4.210571, 2.359207, 1.733378]
pca: [[-0.363088, 0.277380, 0.231216, -0.043230, 0.841321, 0.167560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321328, -0.352210, -0.537497, 0.676870, 0.147561, 0.062177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146564, 0.246032, 0.230794, 0.244448, -0.358996, 0.822246, 0.000000, 0.000000, 0.000000, 0.000000], [0.802250, -0.179809, 0.217260, 0.372033, 0.331103, 0.169778, 0.000000, 0.000000, 0.000000, 0.000000], [0.232749, 0.831660, -0.415772, 0.231494, -0.014559, -0.165837, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213675, 0.120366, 0.619921, 0.536866, -0.178003, -0.485430, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.436402, 32.847644, 33.325014, 34.696782, 39.049961], [35.762445, 35.812047, 37.067547, 45.858815, 325.106398], [15.414390, 15.492394, 16.465139, 17.172856, 19.064647], [69.614523, 72.873317, 75.684727, 85.463622, 281.238302], [36.252568, 36.522310, 45.712583, 51.644458, 173.937476], [22.415719, 22.931088, 30.253107, 41.974236, 62.894383]]
### 2
mean: [-1.274559, -3.022655, -1.909189, 4.036407, -0.867412, 1.185850]
std: [0.614089, 2.618207, 1.039436, 4.713432, 2.547680, 3.370667]
pca: [[-0.037974, -0.270630, 0.279449, -0.267800, -0.114667, 0.873132, 0.000000, 0.000000, 0.000000, 0.000000], [-0.371134, -0.515740, 0.004068, 0.724587, -0.266702, 0.009916, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068955, -0.490329, 0.376728, -0.108968, 0.745990, -0.211004, 0.000000, 0.000000, 0.000000, 0.000000], [0.703823, -0.161922, -0.432245, 0.356178, 0.304754, 0.268031, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351334, 0.600371, 0.086620, 0.416593, 0.473449, 0.333035, 0.000000, 0.000000, 0.000000, 0.000000], [0.487094, 0.183534, 0.765264, 0.301611, -0.205405, -0.101321, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.435518, 10.096279, 10.281847, 11.907990, 114.710310], [45.864319, 48.174730, 48.451982, 49.640620, 272.038911], [16.433654, 17.436630, 18.068872, 20.145688, 171.826997], [78.705203, 79.155228, 80.373633, 80.995491, 363.276644], [37.148775, 40.583629, 42.353395, 44.709869, 78.067050], [55.646864, 57.390506, 57.742988, 67.078535, 106.726471]]
### 4
mean: [1.508053, -1.431372, 2.474361, 5.315473, -2.703839, 2.304071]
std: [1.769767, 1.175384, 2.641614, 6.575173, 2.806405, 2.525085]
pca: [[0.211822, -0.213931, 0.609389, -0.223667, 0.691111, 0.101733, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132481, 0.850538, 0.215369, -0.378987, 0.029753, -0.261026, 0.000000, 0.000000, 0.000000, 0.000000], [0.318252, 0.327624, -0.130584, 0.747443, 0.396500, -0.241751, 0.000000, 0.000000, 0.000000, 0.000000], [0.793577, 0.213205, -0.189080, -0.234387, -0.153887, 0.458705, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338161, 0.266597, 0.318229, 0.371619, -0.085098, 0.753632, 0.000000, 0.000000, 0.000000, 0.000000], [0.303611, -0.083374, 0.654361, 0.233737, -0.577361, -0.291036, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.482250, 31.169621, 31.982795, 33.565360, 135.724779], [20.993580, 21.329465, 21.504933, 22.716194, 128.823464], [43.295336, 44.073945, 44.750575, 46.019324, 222.692479], [109.534620, 111.372575, 112.771627, 116.410408, 478.392572], [47.861467, 48.013483, 48.522480, 49.706092, 243.345536], [41.682595, 44.071730, 44.848499, 46.970659, 207.366426]]
### 6
mean: [6.666429, -2.797966, -2.815470, 5.939267, -1.222445, 5.632054]
std: [7.507350, 3.764164, 2.739337, 6.579743, 0.948985, 6.418790]
pca: [[0.587321, 0.082083, 0.517505, -0.060459, 0.442557, 0.425433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294434, -0.304238, 0.621377, 0.537244, -0.351066, 0.150864, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214027, 0.709137, -0.212162, 0.329423, -0.074114, 0.540640, 0.000000, 0.000000, 0.000000, 0.000000], [0.514708, 0.455828, 0.166257, 0.204724, -0.439999, -0.513949, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074240, 0.030740, -0.089922, 0.624713, 0.662825, -0.394784, 0.000000, 0.000000, 0.000000, 0.000000], [0.502115, -0.434858, -0.515111, 0.408676, -0.206073, 0.289755, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[126.804137, 128.149181, 130.306462, 137.170857, 599.978595], [64.125699, 64.410423, 65.592164, 69.233539, 251.816986], [45.935647, 46.937843, 46.974079, 48.682468, 253.392340], [111.854349, 112.234581, 114.495178, 120.886730, 534.533978], [15.958747, 16.235797, 16.447529, 17.274270, 110.020076], [107.757252, 109.938635, 111.089878, 116.356015, 506.884910]]
### 8
mean: [9.607667, -3.881289, -1.063987, -4.824797, -5.650062, -2.730159]
std: [10.706429, 4.178134, 0.633521, 5.797659, 7.267515, 2.913278]
pca: [[0.709986, 0.670598, -0.004749, 0.174245, 0.124328, -0.019434, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277068, 0.133116, -0.515174, 0.757232, -0.233853, -0.109642, 0.000000, 0.000000, 0.000000, 0.000000], [-0.041981, -0.092084, 0.513842, 0.498020, 0.163057, 0.671649, 0.000000, 0.000000, 0.000000, 0.000000], [-0.384465, 0.298048, 0.549074, 0.176475, 0.267907, -0.599128, 0.000000, 0.000000, 0.000000, 0.000000], [-0.481929, 0.656836, -0.029198, -0.335102, -0.260613, 0.394012, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193190, 0.061913, -0.410128, -0.069120, 0.873827, 0.149291, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[180.721952, 183.187478, 185.598588, 195.314656, 864.690098], [70.928331, 71.339302, 72.544893, 76.567741, 349.316035], [10.554687, 10.859682, 10.868370, 11.344910, 95.758857], [98.215365, 99.050693, 100.425568, 105.881544, 434.231675], [123.448888, 124.068106, 126.042811, 133.106131, 508.505518], [49.439830, 49.754152, 50.593083, 53.394794, 245.714310]]
### 10
mean: [2.055824, -0.614310, -2.893400, 7.762168, -4.084140, -3.432658]
std: [2.612460, 0.512376, 2.769272, 8.832837, 6.065795, 3.370249]
pca: [[0.219519, -0.462186, 0.150383, 0.363973, 0.596773, 0.476410, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043020, 0.100890, 0.919746, 0.286707, -0.197996, -0.143648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233274, -0.233833, -0.278472, 0.641798, -0.593547, 0.221713, 0.000000, 0.000000, 0.000000, 0.000000], [0.744455, 0.372986, 0.008134, -0.041714, -0.320503, 0.449600, 0.000000, 0.000000, 0.000000, 0.000000], [-0.510718, 0.658050, -0.002680, 0.111333, 0.243906, 0.483989, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283723, -0.386497, 0.232019, -0.599402, -0.300250, 0.516581, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.757190, 44.579959, 44.859208, 47.460425, 185.024157], [8.605328, 8.705634, 8.820872, 9.306393, 55.287936], [46.785953, 47.417285, 47.997964, 50.542530, 260.406023], [149.761499, 150.889124, 152.810110, 161.223372, 698.595138], [102.372063, 103.856737, 104.028933, 110.463277, 367.572593], [56.799956, 57.839954, 58.454186, 61.500310, 308.939221]]
### 12
mean: [-3.826542]
std: [5.005960]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.420511, 85.161380, 86.123948, 91.027411, 344.388769]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.478615,
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[
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],
[
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],
[
1.578701,
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],
[
0.611367,
0.682061,
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],
[
-0.322985,
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0.53777,
-0.219446
]
],
"network.0.bias": [
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-0.370826,
-0.284361,
0.038438,
0.276286,
0.271435
],
"network.2.weight": [
[
-0.089723,
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-0.066422,
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],
[
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-0.483725,
-0.057403,
-0.73027,
0.077672,
0.002542
],
[
-0.333137,
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],
[
-0.388386,
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],
[
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0.747717
],
[
-0.053223,
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-0.47436,
0.800177,
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-0.155836
]
],
"network.2.bias": [
-0.289576,
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-0.092117,
-0.628766
],
"network.4.weight": [
[
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],
[
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],
[
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0.075355
],
[
0.328368,
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0.07961,
1.154668,
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],
[
0.285978,
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],
[
-0.381239,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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0.035706,
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[
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0.090246,
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[
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0.908872
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[
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],
[
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0.397005,
0.647493,
0.254646,
0.424315
]
],
"network.6.bias": [
-0.140924,
0.512356,
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-0.361676,
-0.043722
],
"network.8.weight": [
[
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0.22996,
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],
[
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0.28274,
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-0.064625,
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],
[
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0.005765,
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[
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[
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],
[
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]
],
"network.8.bias": [
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-0.139757
],
"network.10.weight": [
[
0.229648,
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],
[
-0.044773,
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-0.110105,
0.244193,
-0.302529
],
[
-0.258058,
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0.023833,
0.003997
],
[
0.816304,
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],
[
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],
[
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-0.344265
]
],
"network.10.bias": [
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],
"network.12.weight": [
[
-0.298226,
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-0.146785,
-0.45454,
0.731116,
-0.312199
]
],
"network.12.bias": [
0.114513
]
}
## Activation Signature
### 0
mean: [-0.076434, -3.612293, -0.009945, 3.124870, 1.932639, 0.698826]
std: [2.031776, 2.220792, 1.066637, 4.210571, 2.359207, 1.733378]
pca: [[-0.363088, 0.277380, 0.231216, -0.043230, 0.841321, 0.167560, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321328, -0.352210, -0.537497, 0.676870, 0.147561, 0.062177, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146564, 0.246032, 0.230794, 0.244448, -0.358996, 0.822246, 0.000000, 0.000000, 0.000000, 0.000000], [0.802250, -0.179809, 0.217260, 0.372033, 0.331103, 0.169778, 0.000000, 0.000000, 0.000000, 0.000000], [0.232749, 0.831660, -0.415772, 0.231494, -0.014559, -0.165837, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213675, 0.120366, 0.619921, 0.536866, -0.178003, -0.485430, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.436402, 32.847644, 33.325014, 34.696782, 39.049961], [35.762445, 35.812047, 37.067547, 45.858815, 325.106398], [15.414390, 15.492394, 16.465139, 17.172856, 19.064647], [69.614523, 72.873317, 75.684727, 85.463622, 281.238302], [36.252568, 36.522310, 45.712583, 51.644458, 173.937476], [22.415719, 22.931088, 30.253107, 41.974236, 62.894383]]
### 2
mean: [-1.274559, -3.022655, -1.909189, 4.036407, -0.867412, 1.185850]
std: [0.614089, 2.618207, 1.039436, 4.713432, 2.547680, 3.370667]
pca: [[-0.037974, -0.270630, 0.279449, -0.267800, -0.114667, 0.873132, 0.000000, 0.000000, 0.000000, 0.000000], [-0.371134, -0.515740, 0.004068, 0.724587, -0.266702, 0.009916, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068955, -0.490329, 0.376728, -0.108968, 0.745990, -0.211004, 0.000000, 0.000000, 0.000000, 0.000000], [0.703823, -0.161922, -0.432245, 0.356178, 0.304754, 0.268031, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351334, 0.600371, 0.086620, 0.416593, 0.473449, 0.333035, 0.000000, 0.000000, 0.000000, 0.000000], [0.487094, 0.183534, 0.765264, 0.301611, -0.205405, -0.101321, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.435518, 10.096279, 10.281847, 11.907990, 114.710310], [45.864319, 48.174730, 48.451982, 49.640620, 272.038911], [16.433654, 17.436630, 18.068872, 20.145688, 171.826997], [78.705203, 79.155228, 80.373633, 80.995491, 363.276644], [37.148775, 40.583629, 42.353395, 44.709869, 78.067050], [55.646864, 57.390506, 57.742988, 67.078535, 106.726471]]
### 4
mean: [1.508053, -1.431372, 2.474361, 5.315473, -2.703839, 2.304071]
std: [1.769767, 1.175384, 2.641614, 6.575173, 2.806405, 2.525085]
pca: [[0.211822, -0.213931, 0.609389, -0.223667, 0.691111, 0.101733, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132481, 0.850538, 0.215369, -0.378987, 0.029753, -0.261026, 0.000000, 0.000000, 0.000000, 0.000000], [0.318252, 0.327624, -0.130584, 0.747443, 0.396500, -0.241751, 0.000000, 0.000000, 0.000000, 0.000000], [0.793577, 0.213205, -0.189080, -0.234387, -0.153887, 0.458705, 0.000000, 0.000000, 0.000000, 0.000000], [-0.338161, 0.266597, 0.318229, 0.371619, -0.085098, 0.753632, 0.000000, 0.000000, 0.000000, 0.000000], [0.303611, -0.083374, 0.654361, 0.233737, -0.577361, -0.291036, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.482250, 31.169621, 31.982795, 33.565360, 135.724779], [20.993580, 21.329465, 21.504933, 22.716194, 128.823464], [43.295336, 44.073945, 44.750575, 46.019324, 222.692479], [109.534620, 111.372575, 112.771627, 116.410408, 478.392572], [47.861467, 48.013483, 48.522480, 49.706092, 243.345536], [41.682595, 44.071730, 44.848499, 46.970659, 207.366426]]
### 6
mean: [6.666429, -2.797966, -2.815470, 5.939267, -1.222445, 5.632054]
std: [7.507350, 3.764164, 2.739337, 6.579743, 0.948985, 6.418790]
pca: [[0.587321, 0.082083, 0.517505, -0.060459, 0.442557, 0.425433, 0.000000, 0.000000, 0.000000, 0.000000], [-0.294434, -0.304238, 0.621377, 0.537244, -0.351066, 0.150864, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214027, 0.709137, -0.212162, 0.329423, -0.074114, 0.540640, 0.000000, 0.000000, 0.000000, 0.000000], [0.514708, 0.455828, 0.166257, 0.204724, -0.439999, -0.513949, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074240, 0.030740, -0.089922, 0.624713, 0.662825, -0.394784, 0.000000, 0.000000, 0.000000, 0.000000], [0.502115, -0.434858, -0.515111, 0.408676, -0.206073, 0.289755, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[126.804137, 128.149181, 130.306462, 137.170857, 599.978595], [64.125699, 64.410423, 65.592164, 69.233539, 251.816986], [45.935647, 46.937843, 46.974079, 48.682468, 253.392340], [111.854349, 112.234581, 114.495178, 120.886730, 534.533978], [15.958747, 16.235797, 16.447529, 17.274270, 110.020076], [107.757252, 109.938635, 111.089878, 116.356015, 506.884910]]
### 8
mean: [9.607667, -3.881289, -1.063987, -4.824797, -5.650062, -2.730159]
std: [10.706429, 4.178134, 0.633521, 5.797659, 7.267515, 2.913278]
pca: [[0.709986, 0.670598, -0.004749, 0.174245, 0.124328, -0.019434, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277068, 0.133116, -0.515174, 0.757232, -0.233853, -0.109642, 0.000000, 0.000000, 0.000000, 0.000000], [-0.041981, -0.092084, 0.513842, 0.498020, 0.163057, 0.671649, 0.000000, 0.000000, 0.000000, 0.000000], [-0.384465, 0.298048, 0.549074, 0.176475, 0.267907, -0.599128, 0.000000, 0.000000, 0.000000, 0.000000], [-0.481929, 0.656836, -0.029198, -0.335102, -0.260613, 0.394012, 0.000000, 0.000000, 0.000000, 0.000000], [-0.193190, 0.061913, -0.410128, -0.069120, 0.873827, 0.149291, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[180.721952, 183.187478, 185.598588, 195.314656, 864.690098], [70.928331, 71.339302, 72.544893, 76.567741, 349.316035], [10.554687, 10.859682, 10.868370, 11.344910, 95.758857], [98.215365, 99.050693, 100.425568, 105.881544, 434.231675], [123.448888, 124.068106, 126.042811, 133.106131, 508.505518], [49.439830, 49.754152, 50.593083, 53.394794, 245.714310]]
### 10
mean: [2.055824, -0.614310, -2.893400, 7.762168, -4.084140, -3.432658]
std: [2.612460, 0.512376, 2.769272, 8.832837, 6.065795, 3.370249]
pca: [[0.219519, -0.462186, 0.150383, 0.363973, 0.596773, 0.476410, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043020, 0.100890, 0.919746, 0.286707, -0.197996, -0.143648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233274, -0.233833, -0.278472, 0.641798, -0.593547, 0.221713, 0.000000, 0.000000, 0.000000, 0.000000], [0.744455, 0.372986, 0.008134, -0.041714, -0.320503, 0.449600, 0.000000, 0.000000, 0.000000, 0.000000], [-0.510718, 0.658050, -0.002680, 0.111333, 0.243906, 0.483989, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283723, -0.386497, 0.232019, -0.599402, -0.300250, 0.516581, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.757190, 44.579959, 44.859208, 47.460425, 185.024157], [8.605328, 8.705634, 8.820872, 9.306393, 55.287936], [46.785953, 47.417285, 47.997964, 50.542530, 260.406023], [149.761499, 150.889124, 152.810110, 161.223372, 698.595138], [102.372063, 103.856737, 104.028933, 110.463277, 367.572593], [56.799956, 57.839954, 58.454186, 61.500310, 308.939221]]
### 12
mean: [-3.826542]
std: [5.005960]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[84.420511, 85.161380, 86.123948, 91.027411, 344.388769]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.766813, -0.269511, 0.211408, 0.478615, -0.337439], [-0.333158, -0.538334, -0.329553, -0.250548, -0.502883], [-0.211889, -0.257312, 0.216929, 0.411782, -0.266923], [1.578701, 0.463967, 0.306665, -0.502301, 0.578061], [0.611367, 0.682061, -0.152999, 0.342953, -0.61879], [-0.322985, -0.668571, 0.557734, 0.53777, -0.219446]], "network.0.bias": [0.317132, -0.370826, -0.284361, 0.038438, 0.276286, 0.271435], "network.2.weight": [[-0.089723, -0.321896, -0.115398, -0.117364, -0.066422, -0.326105], [-0.641524, -0.483725, -0.057403, -0.73027, 0.077672, 0.002542], [-0.333137, 0.031358, -0.166275, -0.239824, -0.025372, -0.456613], [-0.388386, 0.308034, 0.001227, 0.845133, 0.707278, -0.283527], [0.343529, 0.08787, 0.045871, -0.259172, -0.470034, 0.747717], [-0.053223, -0.007722, -0.47436, 0.800177, -0.186599, -0.155836]], "network.2.bias": [-0.289576, -0.296449, -0.268903, 0.366866, -0.092117, -0.628766], "network.4.weight": [[-0.265518, 0.05034, -0.260562, 0.162026, -0.165537, 0.340987], [-0.160293, -0.49237, -0.338706, -0.189498, -0.384224, -0.144487], [0.221446, 0.171891, -0.071673, 0.485236, -0.368878, 0.075355], [0.328368, -0.226211, 0.07961, 1.154668, -0.638463, 0.331063], [0.285978, -0.297963, -0.209298, -0.52386, 0.040946, -0.125611], [-0.381239, -0.078329, 0.375393, 0.286878, -0.307133, 0.38273]], "network.4.bias": [0.310925, -0.18187, 0.563264, 0.356194, -0.362193, 0.599713], "network.6.weight": [[0.274195, 0.063669, 0.760151, 0.461108, 0.088961, 0.83959], [-0.779532, -0.183543, -0.268903, -0.274597, 0.035706, 0.023649], [0.185446, 0.339479, -0.384161, -0.303181, 0.090246, -0.046135], [0.325304, -0.224045, 0.485258, 0.386763, -0.377312, 0.908872], [-0.271474, -0.022763, -0.223942, -0.034266, 0.026465, 0.130437], [0.0966, -0.345376, 0.397005, 0.647493, 0.254646, 0.424315]], "network.6.bias": [-0.140924, 0.512356, -0.364855, -0.00843, -0.361676, -0.043722], "network.8.weight": [[0.570439, -0.610857, 0.22996, 0.315889, -0.218452, 0.672332], [-0.153838, 0.28274, -0.354187, -0.390315, -0.064625, -0.06832], [0.120553, 0.133225, 0.229241, 0.006682, 0.005765, -0.244973], [-0.160856, 0.714079, -0.16406, -0.337018, 0.256255, -0.362633], [-0.380879, 0.840021, 0.011217, -0.542177, -0.084461, -0.122924], [-0.153107, 0.172145, 0.052392, -0.245052, -0.370016, -0.022149]], "network.8.bias": [0.176413, -0.171321, -0.538538, 0.241449, 0.744225, -0.139757], "network.10.weight": [[0.229648, -0.313685, -0.153541, -0.381065, -0.701834, 0.142122], [-0.044773, 0.208522, 0.373881, -0.110105, 0.244193, -0.302529], [-0.258058, 0.236611, -0.023898, 0.081877, 0.023833, 0.003997], [0.816304, -0.080895, -0.325567, -0.263036, -0.531421, -0.592853], [-0.54232, 0.280324, -0.184732, 0.519696, 1.309505, 0.336586], [-0.315812, 0.23357, 0.096415, -0.114885, 0.013325, -0.344265]], "network.10.bias": [-0.002669, -0.215678, -0.421104, 0.019474, 0.868213, -0.386232], "network.12.weight": [[-0.298226, 0.192912, -0.146785, -0.45454, 0.731116, -0.312199]], "network.12.bias": [0.114513]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7093089520931244, "train_acc": 0.57, "val_loss": 0.7088772654533386, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6842189729213715, "train_acc": 0.57, "val_loss": 0.6941136717796326, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6829536855220795, "train_acc": 0.57, "val_loss": 0.6905097365379333, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.67478147149086, "train_acc": 0.57, "val_loss": 0.6657821536064148, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6787422597408295, "train_acc": 0.515, "val_loss": 0.6194443106651306, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5863993465900421, "train_acc": 0.77, "val_loss": 0.558884859085083, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4488018602132797, "train_acc": 0.81, "val_loss": 0.5361136794090271, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.39908087253570557, "train_acc": 0.82, "val_loss": 0.4112798273563385, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.30336596071720123, "train_acc": 0.87, "val_loss": 0.3962956964969635, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.30479611456394196, "train_acc": 0.88, "val_loss": 0.36899101734161377, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.28910937905311584, "train_acc": 0.875, "val_loss": 0.40289580821990967, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2760014086961746, "train_acc": 0.895, "val_loss": 0.34187498688697815, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.23207653313875198, "train_acc": 0.905, "val_loss": 0.40209779143333435, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2235119715332985, "train_acc": 0.92, "val_loss": 0.3343481123447418, "val_acc": 0.8}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7088772654533386, "final_val_loss": 0.6657821536064148, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6194443106651306, "final_val_loss": 0.3343481123447418, "initial_val_acc": 0.72, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 7}, "improvement": 0.31999999999999995, "first_improvement_epoch": 3}}
|
88
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.78, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6772, "learning_rate": 0.08443058899112679, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.122968
],
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[
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[
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[
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],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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],
[
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],
[
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0.03474
],
[
0.498551,
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],
[
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[
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0.400287
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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"network.6.weight": [
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[
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"network.6.bias": [
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"network.8.weight": [
[
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],
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"network.10.weight": [
[
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]
],
"network.10.bias": [
0.221504
]
}
## Activation Signature
### 0
mean: [0.606896, -2.293458, 0.187380, -0.834259, 1.073272, 1.543792, 0.212594]
std: [1.586868, 1.765465, 1.595206, 0.691895, 1.111820, 1.334194, 1.613830]
pca: [[-0.517545, 0.146836, -0.315596, 0.694685, 0.327725, 0.137641, 0.045260, 0.000000, 0.000000, 0.000000], [0.358505, 0.803873, -0.019066, -0.063407, 0.144101, 0.443318, -0.059856, 0.000000, 0.000000, 0.000000], [0.049747, 0.182350, 0.840282, 0.423735, 0.022428, -0.278928, 0.018561, 0.000000, 0.000000, 0.000000], [0.237485, 0.033804, -0.111578, -0.070878, 0.412173, -0.291746, 0.818525, 0.000000, 0.000000, 0.000000], [-0.277344, -0.266009, 0.391417, -0.166154, 0.052565, 0.731882, 0.364817, 0.000000, 0.000000, 0.000000], [-0.441202, 0.151868, 0.167045, -0.508900, 0.605999, -0.219371, -0.282903, 0.000000, 0.000000, 0.000000], [0.522655, -0.451673, 0.020003, 0.205500, 0.575711, 0.194509, -0.333040, 0.000000, 0.000000, 0.000000]]
fourier: [[24.672725, 25.378788, 25.426432, 27.745523, 54.620615], [27.409740, 28.166623, 30.984685, 33.136152, 206.411156], [25.891213, 26.062219, 27.478154, 29.087786, 30.007476], [11.627314, 12.239668, 13.412307, 15.218280, 75.083320], [18.169397, 18.572840, 20.564641, 22.309312, 96.594499], [21.127235, 21.458030, 21.653896, 24.075613, 138.941265], [24.600970, 26.033297, 27.051017, 31.563598, 34.742963]]
### 2
mean: [-0.357432, 1.746229, -0.081449, -1.506616, 1.575490, 1.209028, 1.073123]
std: [0.292919, 0.739150, 0.648755, 0.813994, 1.638820, 1.287024, 0.642511]
pca: [[-0.058134, 0.098630, -0.078741, 0.460639, 0.865237, 0.001893, -0.140941, 0.000000, 0.000000, 0.000000], [0.238283, -0.282326, 0.789694, 0.005380, 0.175236, -0.291496, 0.352405, 0.000000, 0.000000, 0.000000], [0.165819, -0.431494, -0.271027, 0.105454, 0.075105, 0.585228, 0.594650, 0.000000, 0.000000, 0.000000], [-0.361924, 0.114123, -0.216621, 0.489205, -0.232080, -0.497947, 0.517618, 0.000000, 0.000000, 0.000000], [0.691554, 0.575384, -0.213616, -0.150902, 0.090718, -0.158242, 0.298350, 0.000000, 0.000000, 0.000000], [0.550408, -0.396140, -0.152381, 0.514316, -0.267113, -0.190338, -0.380533, 0.000000, 0.000000, 0.000000], [0.012675, 0.472609, 0.425383, 0.500048, -0.285614, 0.513142, -0.024332, 0.000000, 0.000000, 0.000000]]
fourier: [[4.054662, 4.667033, 5.667663, 5.744112, 32.168911], [10.680596, 10.867753, 11.556943, 12.713681, 157.160573], [9.102564, 9.136852, 9.729670, 12.564034, 13.907346], [12.230910, 13.933963, 14.845275, 16.609796, 135.595415], [26.363292, 27.177136, 30.055007, 33.882895, 141.794070], [19.927961, 20.459445, 23.187954, 24.704695, 108.812534], [10.733966, 11.024585, 11.872590, 12.704986, 96.581104]]
### 4
mean: [-1.007217, -1.353822, -2.050343, -1.207868, 1.147043, 0.165072, 0.828159]
std: [0.455813, 0.623015, 1.313282, 1.061693, 1.493577, 0.548832, 0.916417]
pca: [[-0.164886, -0.263389, 0.285546, 0.078035, -0.445002, 0.765761, 0.177189, 0.000000, 0.000000, 0.000000], [-0.220600, 0.192649, 0.715102, 0.420756, 0.214228, -0.069453, -0.418447, 0.000000, 0.000000, 0.000000], [-0.513635, -0.359858, 0.347416, -0.353103, -0.069212, -0.457059, 0.384198, 0.000000, 0.000000, 0.000000], [-0.415010, 0.248636, -0.277027, 0.581464, 0.218029, 0.039751, 0.549532, 0.000000, 0.000000, 0.000000], [0.581325, -0.503461, 0.181466, 0.482635, -0.036351, -0.250802, 0.280176, 0.000000, 0.000000, 0.000000], [0.214404, -0.027699, 0.243304, -0.315844, 0.761146, 0.350079, 0.303991, 0.000000, 0.000000, 0.000000], [0.322778, 0.669294, 0.342818, -0.146281, -0.350839, -0.113342, 0.415937, 0.000000, 0.000000, 0.000000]]
fourier: [[6.836686, 7.371742, 8.425497, 8.459079, 90.649496], [9.650989, 9.944447, 10.346370, 11.053770, 121.843927], [21.615887, 22.309535, 24.332338, 24.682616, 184.530838], [15.729286, 18.155686, 21.110341, 22.279388, 108.708112], [23.988927, 26.570124, 28.463535, 29.677322, 103.233881], [8.629756, 9.312379, 10.864486, 12.231660, 14.856506], [13.279156, 15.142538, 17.511006, 18.262632, 74.534272]]
### 6
mean: [0.885390, 0.793830, -0.413788, -0.731986, -1.095551, 0.024205, -0.557703]
std: [1.100201, 0.748372, 0.453220, 0.660915, 1.103634, 0.259383, 0.419136]
pca: [[-0.561741, 0.480339, 0.463665, -0.285716, 0.384398, -0.042961, 0.086575, 0.000000, 0.000000, 0.000000], [-0.386500, -0.092524, -0.459555, 0.032023, -0.024050, 0.185488, 0.771269, 0.000000, 0.000000, 0.000000], [0.220483, 0.421512, -0.039915, 0.741627, 0.406240, 0.230247, 0.063774, 0.000000, 0.000000, 0.000000], [0.327926, 0.510976, 0.184572, -0.228683, -0.553700, 0.434172, 0.223418, 0.000000, 0.000000, 0.000000], [0.570961, 0.058251, -0.195284, -0.507323, 0.555195, -0.098889, 0.238909, 0.000000, 0.000000, 0.000000], [-0.122832, -0.285241, -0.043422, -0.180071, 0.258893, 0.840918, -0.308335, 0.000000, 0.000000, 0.000000], [0.194507, -0.487020, 0.705792, 0.158846, 0.069130, 0.072853, 0.437628, 0.000000, 0.000000, 0.000000]]
fourier: [[17.855412, 20.161893, 20.277669, 23.223078, 79.685121], [12.209382, 12.885255, 13.941358, 15.408275, 71.444747], [6.447247, 8.600930, 8.627038, 8.673896, 37.240903], [9.857113, 12.298688, 12.542611, 12.794249, 65.878729], [18.053189, 19.144195, 21.062228, 22.949385, 98.599547], [3.645322, 3.802226, 4.769496, 4.835789, 5.033829], [6.049308, 6.868445, 7.942551, 8.519279, 50.193271]]
### 8
mean: [0.740518, -0.462967, -0.588807, -0.262113, -0.201222, -0.012907, 0.538461]
std: [0.651967, 0.291809, 0.432470, 0.115951, 0.252102, 0.189455, 0.656036]
pca: [[0.587241, -0.429014, 0.337855, 0.570118, -0.018127, 0.050676, -0.170343, 0.000000, 0.000000, 0.000000], [-0.263333, -0.132466, 0.106540, 0.365795, -0.183005, -0.381704, 0.767309, 0.000000, 0.000000, 0.000000], [-0.389690, -0.269291, -0.181307, 0.287325, 0.217234, 0.769826, 0.142739, 0.000000, 0.000000, 0.000000], [-0.094312, 0.391109, 0.387510, 0.202096, 0.795016, -0.122016, 0.013919, 0.000000, 0.000000, 0.000000], [0.212104, 0.723895, -0.286870, 0.480629, -0.285080, 0.187803, 0.033899, 0.000000, 0.000000, 0.000000], [0.168906, 0.210517, 0.652598, -0.350038, -0.249214, 0.451554, 0.335760, 0.000000, 0.000000, 0.000000], [0.592902, -0.067633, -0.428123, -0.253437, 0.378895, 0.071021, 0.497763, 0.000000, 0.000000, 0.000000]]
fourier: [[10.722511, 11.348744, 12.395754, 13.382877, 66.646623], [4.672469, 5.284424, 5.474573, 6.146568, 41.667002], [6.948427, 7.856028, 8.010083, 9.168078, 52.992622], [1.680420, 2.055753, 2.205196, 2.265693, 23.590184], [4.180385, 4.204038, 4.698449, 5.318602, 18.109975], [2.632787, 3.060104, 3.340146, 3.433565, 4.099371], [10.402685, 11.689185, 12.504723, 13.628527, 48.461501]]
### 10
mean: [-0.143535]
std: [0.361714]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.138630, 6.433375, 6.779935, 7.501783, 12.918154]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.570967,
0.469072,
-0.281579,
-0.22326,
0.122968
],
[
-0.012354,
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-0.655697,
-0.226911,
-0.133111
],
[
-0.587484,
0.350593,
-0.346168,
-0.13705,
0.666244
],
[
-0.085133,
-0.098934,
-0.045079,
0.08423,
-0.311888
],
[
-0.065018,
0.165056,
0.115083,
0.208839,
0.440649
],
[
0.438988,
-0.061635,
-0.314115,
0.313272,
0.378294
],
[
-0.606285,
0.136764,
0.342386,
0.172473,
-0.527424
]
],
"network.0.bias": [
-0.0431,
0.385895,
0.474913,
-0.249837,
-0.37829,
0.6276,
0.283291
],
"network.2.weight": [
[
0.186073,
-0.323624,
0.05007,
0.334518,
0.024161,
-0.326946,
-0.152096
],
[
-0.014339,
0.239565,
0.416618,
-0.02735,
0.233511,
0.266354,
0.432732
],
[
-0.342991,
-0.216362,
0.274481,
0.092035,
0.121286,
0.132658,
-0.261349
],
[
0.059191,
-0.281302,
-0.092441,
0.312678,
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-0.33578,
0.03474
],
[
0.498551,
-0.020232,
-0.006625,
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0.356686,
0.604899,
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],
[
-0.182212,
-0.435837,
0.659729,
-0.081623,
0.101197,
0.588699,
-0.227573
],
[
0.540693,
0.534881,
0.081799,
-0.274905,
-0.260806,
0.083543,
0.400287
]
],
"network.2.bias": [
0.066808,
0.429912,
-0.105595,
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0.055157,
0.042213,
0.355777
],
"network.4.weight": [
[
-0.525437,
-0.240876,
0.033198,
0.338983,
-0.161068,
-0.046831,
-0.235371
],
[
0.122587,
-0.493495,
0.117348,
0.05348,
-0.091747,
-0.195883,
-0.044905
],
[
-0.135683,
-0.179329,
-0.328005,
0.370772,
-0.45379,
-0.358903,
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],
[
-0.056665,
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0.031366,
-0.030082,
-0.565841,
-0.190272,
0.517141
],
[
0.261484,
-0.239712,
0.531077,
-0.100628,
0.491794,
0.648059,
-0.171347
],
[
0.396996,
0.06183,
0.140921,
0.030031,
0.373132,
-0.050217,
-0.301829
],
[
0.081733,
0.033125,
-0.095488,
-0.191964,
0.539055,
0.00605,
0.201255
]
],
"network.4.bias": [
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0.085362,
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0.039988,
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-0.31107
],
"network.6.weight": [
[
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0.176072,
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0.45567,
0.56031
],
[
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0.337748,
0.358141,
0.468196,
-0.119263,
0.187837
],
[
0.149067,
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-0.106827,
0.14343
],
[
-0.304053,
0.044361,
0.007715,
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-0.518926,
-0.022487,
0.123335
],
[
-0.334102,
0.101054,
-0.129654,
0.022899,
-0.551376,
-0.317914,
-0.255037
],
[
0.343629,
0.317944,
-0.41906,
0.191334,
0.223441,
0.023811,
-0.1058
],
[
-0.557577,
-0.441883,
-0.038694,
-0.38265,
-0.114007,
0.337366,
-0.461055
]
],
"network.6.bias": [
-0.116934,
0.096204,
-0.064672,
-0.1901,
-0.109467,
-0.169403,
-0.13219
],
"network.8.weight": [
[
0.194643,
0.504303,
0.42305,
0.36733,
0.04398,
0.385761,
-0.026069
],
[
-0.23332,
-0.034352,
0.154473,
-0.140625,
-0.145874,
-0.091798,
-0.361835
],
[
-0.328912,
-0.10648,
0.116749,
0.141989,
0.153731,
0.001981,
-0.050201
],
[
0.026214,
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0.07549,
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-0.572189
],
[
0.423433,
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0.500948,
0.550566,
-0.048721,
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],
[
0.106796,
0.14716,
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-0.031947,
-0.214583,
-0.014508
],
[
0.419003,
0.176665,
0.04989,
-0.143285,
0.296062,
0.439807,
0.109952
]
],
"network.8.bias": [
0.121822,
-0.213649,
-0.205103,
-0.17238,
-0.367594,
-0.204017,
-0.029886
],
"network.10.weight": [
[
-0.325232,
-0.063228,
0.054453,
-0.075087,
0.386324,
-0.293819,
-0.220583
]
],
"network.10.bias": [
0.221504
]
}
## Activation Signature
### 0
mean: [0.606896, -2.293458, 0.187380, -0.834259, 1.073272, 1.543792, 0.212594]
std: [1.586868, 1.765465, 1.595206, 0.691895, 1.111820, 1.334194, 1.613830]
pca: [[-0.517545, 0.146836, -0.315596, 0.694685, 0.327725, 0.137641, 0.045260, 0.000000, 0.000000, 0.000000], [0.358505, 0.803873, -0.019066, -0.063407, 0.144101, 0.443318, -0.059856, 0.000000, 0.000000, 0.000000], [0.049747, 0.182350, 0.840282, 0.423735, 0.022428, -0.278928, 0.018561, 0.000000, 0.000000, 0.000000], [0.237485, 0.033804, -0.111578, -0.070878, 0.412173, -0.291746, 0.818525, 0.000000, 0.000000, 0.000000], [-0.277344, -0.266009, 0.391417, -0.166154, 0.052565, 0.731882, 0.364817, 0.000000, 0.000000, 0.000000], [-0.441202, 0.151868, 0.167045, -0.508900, 0.605999, -0.219371, -0.282903, 0.000000, 0.000000, 0.000000], [0.522655, -0.451673, 0.020003, 0.205500, 0.575711, 0.194509, -0.333040, 0.000000, 0.000000, 0.000000]]
fourier: [[24.672725, 25.378788, 25.426432, 27.745523, 54.620615], [27.409740, 28.166623, 30.984685, 33.136152, 206.411156], [25.891213, 26.062219, 27.478154, 29.087786, 30.007476], [11.627314, 12.239668, 13.412307, 15.218280, 75.083320], [18.169397, 18.572840, 20.564641, 22.309312, 96.594499], [21.127235, 21.458030, 21.653896, 24.075613, 138.941265], [24.600970, 26.033297, 27.051017, 31.563598, 34.742963]]
### 2
mean: [-0.357432, 1.746229, -0.081449, -1.506616, 1.575490, 1.209028, 1.073123]
std: [0.292919, 0.739150, 0.648755, 0.813994, 1.638820, 1.287024, 0.642511]
pca: [[-0.058134, 0.098630, -0.078741, 0.460639, 0.865237, 0.001893, -0.140941, 0.000000, 0.000000, 0.000000], [0.238283, -0.282326, 0.789694, 0.005380, 0.175236, -0.291496, 0.352405, 0.000000, 0.000000, 0.000000], [0.165819, -0.431494, -0.271027, 0.105454, 0.075105, 0.585228, 0.594650, 0.000000, 0.000000, 0.000000], [-0.361924, 0.114123, -0.216621, 0.489205, -0.232080, -0.497947, 0.517618, 0.000000, 0.000000, 0.000000], [0.691554, 0.575384, -0.213616, -0.150902, 0.090718, -0.158242, 0.298350, 0.000000, 0.000000, 0.000000], [0.550408, -0.396140, -0.152381, 0.514316, -0.267113, -0.190338, -0.380533, 0.000000, 0.000000, 0.000000], [0.012675, 0.472609, 0.425383, 0.500048, -0.285614, 0.513142, -0.024332, 0.000000, 0.000000, 0.000000]]
fourier: [[4.054662, 4.667033, 5.667663, 5.744112, 32.168911], [10.680596, 10.867753, 11.556943, 12.713681, 157.160573], [9.102564, 9.136852, 9.729670, 12.564034, 13.907346], [12.230910, 13.933963, 14.845275, 16.609796, 135.595415], [26.363292, 27.177136, 30.055007, 33.882895, 141.794070], [19.927961, 20.459445, 23.187954, 24.704695, 108.812534], [10.733966, 11.024585, 11.872590, 12.704986, 96.581104]]
### 4
mean: [-1.007217, -1.353822, -2.050343, -1.207868, 1.147043, 0.165072, 0.828159]
std: [0.455813, 0.623015, 1.313282, 1.061693, 1.493577, 0.548832, 0.916417]
pca: [[-0.164886, -0.263389, 0.285546, 0.078035, -0.445002, 0.765761, 0.177189, 0.000000, 0.000000, 0.000000], [-0.220600, 0.192649, 0.715102, 0.420756, 0.214228, -0.069453, -0.418447, 0.000000, 0.000000, 0.000000], [-0.513635, -0.359858, 0.347416, -0.353103, -0.069212, -0.457059, 0.384198, 0.000000, 0.000000, 0.000000], [-0.415010, 0.248636, -0.277027, 0.581464, 0.218029, 0.039751, 0.549532, 0.000000, 0.000000, 0.000000], [0.581325, -0.503461, 0.181466, 0.482635, -0.036351, -0.250802, 0.280176, 0.000000, 0.000000, 0.000000], [0.214404, -0.027699, 0.243304, -0.315844, 0.761146, 0.350079, 0.303991, 0.000000, 0.000000, 0.000000], [0.322778, 0.669294, 0.342818, -0.146281, -0.350839, -0.113342, 0.415937, 0.000000, 0.000000, 0.000000]]
fourier: [[6.836686, 7.371742, 8.425497, 8.459079, 90.649496], [9.650989, 9.944447, 10.346370, 11.053770, 121.843927], [21.615887, 22.309535, 24.332338, 24.682616, 184.530838], [15.729286, 18.155686, 21.110341, 22.279388, 108.708112], [23.988927, 26.570124, 28.463535, 29.677322, 103.233881], [8.629756, 9.312379, 10.864486, 12.231660, 14.856506], [13.279156, 15.142538, 17.511006, 18.262632, 74.534272]]
### 6
mean: [0.885390, 0.793830, -0.413788, -0.731986, -1.095551, 0.024205, -0.557703]
std: [1.100201, 0.748372, 0.453220, 0.660915, 1.103634, 0.259383, 0.419136]
pca: [[-0.561741, 0.480339, 0.463665, -0.285716, 0.384398, -0.042961, 0.086575, 0.000000, 0.000000, 0.000000], [-0.386500, -0.092524, -0.459555, 0.032023, -0.024050, 0.185488, 0.771269, 0.000000, 0.000000, 0.000000], [0.220483, 0.421512, -0.039915, 0.741627, 0.406240, 0.230247, 0.063774, 0.000000, 0.000000, 0.000000], [0.327926, 0.510976, 0.184572, -0.228683, -0.553700, 0.434172, 0.223418, 0.000000, 0.000000, 0.000000], [0.570961, 0.058251, -0.195284, -0.507323, 0.555195, -0.098889, 0.238909, 0.000000, 0.000000, 0.000000], [-0.122832, -0.285241, -0.043422, -0.180071, 0.258893, 0.840918, -0.308335, 0.000000, 0.000000, 0.000000], [0.194507, -0.487020, 0.705792, 0.158846, 0.069130, 0.072853, 0.437628, 0.000000, 0.000000, 0.000000]]
fourier: [[17.855412, 20.161893, 20.277669, 23.223078, 79.685121], [12.209382, 12.885255, 13.941358, 15.408275, 71.444747], [6.447247, 8.600930, 8.627038, 8.673896, 37.240903], [9.857113, 12.298688, 12.542611, 12.794249, 65.878729], [18.053189, 19.144195, 21.062228, 22.949385, 98.599547], [3.645322, 3.802226, 4.769496, 4.835789, 5.033829], [6.049308, 6.868445, 7.942551, 8.519279, 50.193271]]
### 8
mean: [0.740518, -0.462967, -0.588807, -0.262113, -0.201222, -0.012907, 0.538461]
std: [0.651967, 0.291809, 0.432470, 0.115951, 0.252102, 0.189455, 0.656036]
pca: [[0.587241, -0.429014, 0.337855, 0.570118, -0.018127, 0.050676, -0.170343, 0.000000, 0.000000, 0.000000], [-0.263333, -0.132466, 0.106540, 0.365795, -0.183005, -0.381704, 0.767309, 0.000000, 0.000000, 0.000000], [-0.389690, -0.269291, -0.181307, 0.287325, 0.217234, 0.769826, 0.142739, 0.000000, 0.000000, 0.000000], [-0.094312, 0.391109, 0.387510, 0.202096, 0.795016, -0.122016, 0.013919, 0.000000, 0.000000, 0.000000], [0.212104, 0.723895, -0.286870, 0.480629, -0.285080, 0.187803, 0.033899, 0.000000, 0.000000, 0.000000], [0.168906, 0.210517, 0.652598, -0.350038, -0.249214, 0.451554, 0.335760, 0.000000, 0.000000, 0.000000], [0.592902, -0.067633, -0.428123, -0.253437, 0.378895, 0.071021, 0.497763, 0.000000, 0.000000, 0.000000]]
fourier: [[10.722511, 11.348744, 12.395754, 13.382877, 66.646623], [4.672469, 5.284424, 5.474573, 6.146568, 41.667002], [6.948427, 7.856028, 8.010083, 9.168078, 52.992622], [1.680420, 2.055753, 2.205196, 2.265693, 23.590184], [4.180385, 4.204038, 4.698449, 5.318602, 18.109975], [2.632787, 3.060104, 3.340146, 3.433565, 4.099371], [10.402685, 11.689185, 12.504723, 13.628527, 48.461501]]
### 10
mean: [-0.143535]
std: [0.361714]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.138630, 6.433375, 6.779935, 7.501783, 12.918154]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.570967, 0.469072, -0.281579, -0.22326, 0.122968], [-0.012354, -0.353157, -0.655697, -0.226911, -0.133111], [-0.587484, 0.350593, -0.346168, -0.13705, 0.666244], [-0.085133, -0.098934, -0.045079, 0.08423, -0.311888], [-0.065018, 0.165056, 0.115083, 0.208839, 0.440649], [0.438988, -0.061635, -0.314115, 0.313272, 0.378294], [-0.606285, 0.136764, 0.342386, 0.172473, -0.527424]], "network.0.bias": [-0.0431, 0.385895, 0.474913, -0.249837, -0.37829, 0.6276, 0.283291], "network.2.weight": [[0.186073, -0.323624, 0.05007, 0.334518, 0.024161, -0.326946, -0.152096], [-0.014339, 0.239565, 0.416618, -0.02735, 0.233511, 0.266354, 0.432732], [-0.342991, -0.216362, 0.274481, 0.092035, 0.121286, 0.132658, -0.261349], [0.059191, -0.281302, -0.092441, 0.312678, -0.434385, -0.33578, 0.03474], [0.498551, -0.020232, -0.006625, -0.361389, 0.356686, 0.604899, -0.381078], [-0.182212, -0.435837, 0.659729, -0.081623, 0.101197, 0.588699, -0.227573], [0.540693, 0.534881, 0.081799, -0.274905, -0.260806, 0.083543, 0.400287]], "network.2.bias": [0.066808, 0.429912, -0.105595, -0.48252, 0.055157, 0.042213, 0.355777], "network.4.weight": [[-0.525437, -0.240876, 0.033198, 0.338983, -0.161068, -0.046831, -0.235371], [0.122587, -0.493495, 0.117348, 0.05348, -0.091747, -0.195883, -0.044905], [-0.135683, -0.179329, -0.328005, 0.370772, -0.45379, -0.358903, -0.534165], [-0.056665, -0.109801, 0.031366, -0.030082, -0.565841, -0.190272, 0.517141], [0.261484, -0.239712, 0.531077, -0.100628, 0.491794, 0.648059, -0.171347], [0.396996, 0.06183, 0.140921, 0.030031, 0.373132, -0.050217, -0.301829], [0.081733, 0.033125, -0.095488, -0.191964, 0.539055, 0.00605, 0.201255]], "network.4.bias": [-0.012703, -0.076466, 0.085362, -0.423288, 0.039988, -0.194755, -0.31107], "network.6.weight": [[-0.143874, 0.237896, 0.339784, 0.176072, 0.323413, 0.45567, 0.56031], [-0.067486, 0.145206, 0.337748, 0.358141, 0.468196, -0.119263, 0.187837], [0.149067, -0.069515, -0.167975, -0.491532, -0.355086, -0.106827, 0.14343], [-0.304053, 0.044361, 0.007715, -0.168863, -0.518926, -0.022487, 0.123335], [-0.334102, 0.101054, -0.129654, 0.022899, -0.551376, -0.317914, -0.255037], [0.343629, 0.317944, -0.41906, 0.191334, 0.223441, 0.023811, -0.1058], [-0.557577, -0.441883, -0.038694, -0.38265, -0.114007, 0.337366, -0.461055]], "network.6.bias": [-0.116934, 0.096204, -0.064672, -0.1901, -0.109467, -0.169403, -0.13219], "network.8.weight": [[0.194643, 0.504303, 0.42305, 0.36733, 0.04398, 0.385761, -0.026069], [-0.23332, -0.034352, 0.154473, -0.140625, -0.145874, -0.091798, -0.361835], [-0.328912, -0.10648, 0.116749, 0.141989, 0.153731, 0.001981, -0.050201], [0.026214, -0.095953, 0.07159, -0.329553, 0.07549, -0.353905, -0.572189], [0.423433, -0.252652, 0.500948, 0.550566, -0.048721, -0.178853, -0.044598], [0.106796, 0.14716, -0.317695, -0.110285, -0.031947, -0.214583, -0.014508], [0.419003, 0.176665, 0.04989, -0.143285, 0.296062, 0.439807, 0.109952]], "network.8.bias": [0.121822, -0.213649, -0.205103, -0.17238, -0.367594, -0.204017, -0.029886], "network.10.weight": [[-0.325232, -0.063228, 0.054453, -0.075087, 0.386324, -0.293819, -0.220583]], "network.10.bias": [0.221504]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7022350132465363, "train_acc": 0.475, "val_loss": 0.6984809041023254, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6704228520393372, "train_acc": 0.565, "val_loss": 0.6355419754981995, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7034148871898651, "train_acc": 0.49, "val_loss": 0.5988638401031494, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6036110520362854, "train_acc": 0.78, "val_loss": 0.6645810008049011, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6352279782295227, "train_acc": 0.665, "val_loss": 0.6403439044952393, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5918861031532288, "train_acc": 0.74, "val_loss": 0.5384423732757568, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4994007796049118, "train_acc": 0.78, "val_loss": 0.47241249680519104, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4630705267190933, "train_acc": 0.79, "val_loss": 0.5230089426040649, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4760853201150894, "train_acc": 0.825, "val_loss": 0.5326117873191833, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.44520945847034454, "train_acc": 0.835, "val_loss": 0.4864636957645416, "val_acc": 0.76}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6984809041023254, "final_val_loss": 0.6355419754981995, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5988638401031494, "final_val_loss": 0.4864636957645416, "initial_val_acc": 0.78, "final_val_acc": 0.76, "best_val_acc": 0.78, "best_epoch": 2}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
89
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.72, "improved_accuracy": 0.92, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4426, "learning_rate": 0.04712606318248816, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
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[
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],
[
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],
"network.0.bias": [
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"network.2.weight": [
[
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],
[
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1.128664
],
[
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[
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],
[
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[
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],
[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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"network.6.weight": [
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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],
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],
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"network.10.weight": [
[
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1.058192,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.001546, -0.027764, -2.118809, 0.452676, 0.487975, -0.413070, -0.169839]
std: [1.478752, 1.642663, 1.516019, 1.817634, 2.238029, 2.037708, 2.316050]
pca: [[0.191369, -0.247457, 0.579214, 0.430378, -0.061493, -0.170103, -0.590519, 0.000000, 0.000000, 0.000000], [0.373524, 0.025847, -0.231261, 0.556282, -0.600997, 0.234914, 0.283723, 0.000000, 0.000000, 0.000000], [0.238848, -0.145927, 0.618504, -0.035823, 0.194050, -0.027099, 0.706708, 0.000000, 0.000000, 0.000000], [0.318224, -0.439355, -0.428006, 0.309780, 0.651860, 0.037652, 0.014472, 0.000000, 0.000000, 0.000000], [0.490231, -0.422962, -0.151024, -0.548089, -0.340170, -0.370180, -0.069419, 0.000000, 0.000000, 0.000000], [0.487604, 0.241365, 0.135345, -0.313807, 0.127300, 0.710582, -0.257023, 0.000000, 0.000000, 0.000000], [0.432965, 0.697579, -0.064547, 0.095931, 0.201306, -0.521315, -0.016200, 0.000000, 0.000000, 0.000000]]
fourier: [[22.950683, 23.344571, 23.798324, 29.128889, 180.139172], [23.791369, 24.661026, 26.634616, 26.645619, 26.672296], [24.062979, 26.918366, 29.440205, 29.736811, 190.692765], [25.415973, 28.704564, 37.728142, 39.668418, 40.740874], [36.365138, 38.362777, 38.436801, 41.328791, 43.917736], [30.628797, 31.830816, 37.176268, 39.221484, 42.135992], [34.277212, 34.963973, 36.239373, 37.502377, 48.347014]]
### 2
mean: [-1.363387, 1.274022, 1.824646, -0.826795, -1.527276, 2.058911, 2.374546]
std: [1.093394, 1.944504, 2.192306, 1.236625, 1.495673, 2.402111, 2.241321]
pca: [[-0.217545, 0.242416, -0.445411, 0.487836, 0.228388, -0.535341, 0.344648, 0.000000, 0.000000, 0.000000], [0.329236, 0.859888, 0.196320, -0.064202, -0.025595, -0.162177, -0.287360, 0.000000, 0.000000, 0.000000], [0.458934, -0.218217, -0.219326, 0.027888, 0.751578, 0.013039, -0.357548, 0.000000, 0.000000, 0.000000], [-0.254671, -0.041804, 0.755661, 0.507131, 0.319276, 0.019734, -0.053502, 0.000000, 0.000000, 0.000000], [-0.298337, 0.358171, -0.299506, 0.178534, 0.189128, 0.790478, 0.022498, 0.000000, 0.000000, 0.000000], [0.505860, -0.136636, -0.109038, 0.677288, -0.461369, 0.172095, -0.111132, 0.000000, 0.000000, 0.000000], [0.473183, 0.074190, 0.205783, -0.096649, 0.178176, 0.179102, 0.809372, 0.000000, 0.000000, 0.000000]]
fourier: [[17.192438, 17.471563, 17.608991, 20.861250, 122.704809], [30.226797, 30.573614, 32.728372, 34.963587, 114.661970], [33.253142, 33.698007, 38.492507, 42.531264, 164.218103], [18.217449, 18.384205, 21.594809, 24.585874, 74.411587], [22.807273, 24.676927, 25.619664, 28.382743, 137.454829], [37.078377, 37.338492, 38.869675, 48.375951, 185.301966], [35.431237, 35.638428, 35.829850, 45.041025, 213.709163]]
### 4
mean: [-1.681219, -1.343232, -3.007629, 4.094658, 5.071376, -0.703098, 2.585619]
std: [1.613756, 1.013499, 2.740325, 4.701766, 5.537741, 0.374708, 3.283175]
pca: [[-0.186275, 0.246830, -0.216730, 0.172772, 0.840594, 0.332505, -0.101967, 0.000000, 0.000000, 0.000000], [-0.114936, 0.384571, -0.519010, 0.384898, -0.485878, 0.393610, 0.174273, 0.000000, 0.000000, 0.000000], [-0.315936, 0.493831, 0.310800, 0.433494, -0.056554, -0.519584, -0.314063, 0.000000, 0.000000, 0.000000], [0.544188, -0.317509, 0.052635, 0.740733, 0.131647, -0.093921, 0.159498, 0.000000, 0.000000, 0.000000], [0.640608, 0.510354, -0.339184, -0.286718, 0.099877, -0.348903, -0.014121, 0.000000, 0.000000, 0.000000], [-0.038293, 0.331659, 0.427903, -0.052391, 0.101323, 0.037254, 0.831286, 0.000000, 0.000000, 0.000000], [0.379857, 0.275753, 0.534923, -0.021198, -0.128663, 0.576716, -0.379369, 0.000000, 0.000000, 0.000000]]
fourier: [[24.983062, 25.280606, 25.897804, 31.944650, 151.309756], [15.609818, 15.995839, 16.519188, 19.529660, 120.890851], [42.889737, 43.076826, 43.411930, 54.993704, 270.686645], [72.640966, 73.375266, 75.918379, 93.918876, 368.519243], [85.034905, 86.199226, 91.472744, 110.332884, 456.423872], [5.561462, 6.285659, 6.487874, 7.362894, 63.278838], [50.317405, 50.852385, 54.445865, 64.630002, 232.705718]]
### 6
mean: [8.054755, 6.282876, -0.908059, 2.340501, -2.280663, -1.983562, 5.020545]
std: [9.323991, 7.090159, 0.618502, 2.278408, 2.200972, 1.885378, 5.777451]
pca: [[0.686362, -0.067299, 0.382782, -0.287434, 0.177683, -0.046380, -0.511386, 0.000000, 0.000000, 0.000000], [0.521911, -0.476522, -0.099849, -0.033175, -0.247571, 0.268476, 0.596737, 0.000000, 0.000000, 0.000000], [-0.045257, 0.484000, 0.592727, -0.078721, 0.185223, 0.472958, 0.384937, 0.000000, 0.000000, 0.000000], [0.167700, 0.187524, 0.415838, 0.479924, -0.526246, -0.495689, 0.104024, 0.000000, 0.000000, 0.000000], [-0.161979, -0.416336, 0.242630, 0.579714, -0.040393, 0.518200, -0.367868, 0.000000, 0.000000, 0.000000], [-0.138733, -0.433641, 0.316058, 0.132638, 0.635579, -0.430738, 0.292791, 0.000000, 0.000000, 0.000000], [0.425278, 0.370939, -0.400624, 0.571048, 0.436237, 0.048026, 0.048349, 0.000000, 0.000000, 0.000000]]
fourier: [[144.155136, 145.091346, 153.294171, 185.061255, 724.927982], [109.394184, 110.380175, 116.673149, 140.964707, 565.458915], [9.171829, 9.679329, 10.177731, 12.669362, 81.725343], [35.385288, 35.396822, 37.446495, 44.973933, 210.645049], [33.874704, 34.405778, 35.834066, 44.124003, 205.259661], [28.963760, 29.511892, 30.614958, 37.917494, 178.520538], [89.021022, 90.151595, 94.555743, 115.394933, 451.849002]]
### 8
mean: [-5.398761, -2.511280, -5.236506, -5.810278, -4.800414, 11.773874, 10.267786]
std: [6.070314, 2.644005, 5.344827, 7.492435, 6.903131, 13.335151, 11.905952]
pca: [[-0.272625, 0.634961, -0.202989, -0.388633, -0.471332, 0.229981, 0.234979, 0.000000, 0.000000, 0.000000], [-0.118745, 0.118262, 0.456562, 0.547538, -0.572374, -0.365179, 0.051960, 0.000000, 0.000000, 0.000000], [-0.240042, 0.571795, 0.340065, -0.034290, 0.620346, -0.337090, -0.012312, 0.000000, 0.000000, 0.000000], [-0.336498, -0.030255, 0.128067, 0.473370, 0.225457, 0.670333, 0.381046, 0.000000, 0.000000, 0.000000], [-0.310029, -0.310984, 0.666616, -0.504754, -0.111279, 0.220247, -0.217084, 0.000000, 0.000000, 0.000000], [0.598903, 0.396156, 0.261151, 0.127761, -0.036505, 0.445137, -0.447630, 0.000000, 0.000000, 0.000000], [0.534716, -0.036374, 0.325154, -0.229808, 0.029313, -0.064195, 0.741107, 0.000000, 0.000000, 0.000000]]
fourier: [[93.778788, 94.553662, 99.606679, 120.725023, 485.888516], [40.734742, 41.237731, 43.357307, 52.764198, 226.015185], [82.465142, 83.317126, 87.636680, 106.495878, 471.285596], [115.671478, 116.687666, 123.092023, 149.014732, 522.925048], [106.467626, 107.549253, 113.412258, 137.442923, 432.037226], [205.975447, 207.595320, 219.218359, 264.972474, 1059.648684], [183.915950, 185.369292, 195.637487, 236.613808, 924.100686]]
### 10
mean: [-10.420099]
std: [13.806354]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[208.670903, 216.730301, 223.229422, 279.110509, 937.808914]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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[
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[
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[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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"network.6.weight": [
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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],
[
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[
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[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.001546, -0.027764, -2.118809, 0.452676, 0.487975, -0.413070, -0.169839]
std: [1.478752, 1.642663, 1.516019, 1.817634, 2.238029, 2.037708, 2.316050]
pca: [[0.191369, -0.247457, 0.579214, 0.430378, -0.061493, -0.170103, -0.590519, 0.000000, 0.000000, 0.000000], [0.373524, 0.025847, -0.231261, 0.556282, -0.600997, 0.234914, 0.283723, 0.000000, 0.000000, 0.000000], [0.238848, -0.145927, 0.618504, -0.035823, 0.194050, -0.027099, 0.706708, 0.000000, 0.000000, 0.000000], [0.318224, -0.439355, -0.428006, 0.309780, 0.651860, 0.037652, 0.014472, 0.000000, 0.000000, 0.000000], [0.490231, -0.422962, -0.151024, -0.548089, -0.340170, -0.370180, -0.069419, 0.000000, 0.000000, 0.000000], [0.487604, 0.241365, 0.135345, -0.313807, 0.127300, 0.710582, -0.257023, 0.000000, 0.000000, 0.000000], [0.432965, 0.697579, -0.064547, 0.095931, 0.201306, -0.521315, -0.016200, 0.000000, 0.000000, 0.000000]]
fourier: [[22.950683, 23.344571, 23.798324, 29.128889, 180.139172], [23.791369, 24.661026, 26.634616, 26.645619, 26.672296], [24.062979, 26.918366, 29.440205, 29.736811, 190.692765], [25.415973, 28.704564, 37.728142, 39.668418, 40.740874], [36.365138, 38.362777, 38.436801, 41.328791, 43.917736], [30.628797, 31.830816, 37.176268, 39.221484, 42.135992], [34.277212, 34.963973, 36.239373, 37.502377, 48.347014]]
### 2
mean: [-1.363387, 1.274022, 1.824646, -0.826795, -1.527276, 2.058911, 2.374546]
std: [1.093394, 1.944504, 2.192306, 1.236625, 1.495673, 2.402111, 2.241321]
pca: [[-0.217545, 0.242416, -0.445411, 0.487836, 0.228388, -0.535341, 0.344648, 0.000000, 0.000000, 0.000000], [0.329236, 0.859888, 0.196320, -0.064202, -0.025595, -0.162177, -0.287360, 0.000000, 0.000000, 0.000000], [0.458934, -0.218217, -0.219326, 0.027888, 0.751578, 0.013039, -0.357548, 0.000000, 0.000000, 0.000000], [-0.254671, -0.041804, 0.755661, 0.507131, 0.319276, 0.019734, -0.053502, 0.000000, 0.000000, 0.000000], [-0.298337, 0.358171, -0.299506, 0.178534, 0.189128, 0.790478, 0.022498, 0.000000, 0.000000, 0.000000], [0.505860, -0.136636, -0.109038, 0.677288, -0.461369, 0.172095, -0.111132, 0.000000, 0.000000, 0.000000], [0.473183, 0.074190, 0.205783, -0.096649, 0.178176, 0.179102, 0.809372, 0.000000, 0.000000, 0.000000]]
fourier: [[17.192438, 17.471563, 17.608991, 20.861250, 122.704809], [30.226797, 30.573614, 32.728372, 34.963587, 114.661970], [33.253142, 33.698007, 38.492507, 42.531264, 164.218103], [18.217449, 18.384205, 21.594809, 24.585874, 74.411587], [22.807273, 24.676927, 25.619664, 28.382743, 137.454829], [37.078377, 37.338492, 38.869675, 48.375951, 185.301966], [35.431237, 35.638428, 35.829850, 45.041025, 213.709163]]
### 4
mean: [-1.681219, -1.343232, -3.007629, 4.094658, 5.071376, -0.703098, 2.585619]
std: [1.613756, 1.013499, 2.740325, 4.701766, 5.537741, 0.374708, 3.283175]
pca: [[-0.186275, 0.246830, -0.216730, 0.172772, 0.840594, 0.332505, -0.101967, 0.000000, 0.000000, 0.000000], [-0.114936, 0.384571, -0.519010, 0.384898, -0.485878, 0.393610, 0.174273, 0.000000, 0.000000, 0.000000], [-0.315936, 0.493831, 0.310800, 0.433494, -0.056554, -0.519584, -0.314063, 0.000000, 0.000000, 0.000000], [0.544188, -0.317509, 0.052635, 0.740733, 0.131647, -0.093921, 0.159498, 0.000000, 0.000000, 0.000000], [0.640608, 0.510354, -0.339184, -0.286718, 0.099877, -0.348903, -0.014121, 0.000000, 0.000000, 0.000000], [-0.038293, 0.331659, 0.427903, -0.052391, 0.101323, 0.037254, 0.831286, 0.000000, 0.000000, 0.000000], [0.379857, 0.275753, 0.534923, -0.021198, -0.128663, 0.576716, -0.379369, 0.000000, 0.000000, 0.000000]]
fourier: [[24.983062, 25.280606, 25.897804, 31.944650, 151.309756], [15.609818, 15.995839, 16.519188, 19.529660, 120.890851], [42.889737, 43.076826, 43.411930, 54.993704, 270.686645], [72.640966, 73.375266, 75.918379, 93.918876, 368.519243], [85.034905, 86.199226, 91.472744, 110.332884, 456.423872], [5.561462, 6.285659, 6.487874, 7.362894, 63.278838], [50.317405, 50.852385, 54.445865, 64.630002, 232.705718]]
### 6
mean: [8.054755, 6.282876, -0.908059, 2.340501, -2.280663, -1.983562, 5.020545]
std: [9.323991, 7.090159, 0.618502, 2.278408, 2.200972, 1.885378, 5.777451]
pca: [[0.686362, -0.067299, 0.382782, -0.287434, 0.177683, -0.046380, -0.511386, 0.000000, 0.000000, 0.000000], [0.521911, -0.476522, -0.099849, -0.033175, -0.247571, 0.268476, 0.596737, 0.000000, 0.000000, 0.000000], [-0.045257, 0.484000, 0.592727, -0.078721, 0.185223, 0.472958, 0.384937, 0.000000, 0.000000, 0.000000], [0.167700, 0.187524, 0.415838, 0.479924, -0.526246, -0.495689, 0.104024, 0.000000, 0.000000, 0.000000], [-0.161979, -0.416336, 0.242630, 0.579714, -0.040393, 0.518200, -0.367868, 0.000000, 0.000000, 0.000000], [-0.138733, -0.433641, 0.316058, 0.132638, 0.635579, -0.430738, 0.292791, 0.000000, 0.000000, 0.000000], [0.425278, 0.370939, -0.400624, 0.571048, 0.436237, 0.048026, 0.048349, 0.000000, 0.000000, 0.000000]]
fourier: [[144.155136, 145.091346, 153.294171, 185.061255, 724.927982], [109.394184, 110.380175, 116.673149, 140.964707, 565.458915], [9.171829, 9.679329, 10.177731, 12.669362, 81.725343], [35.385288, 35.396822, 37.446495, 44.973933, 210.645049], [33.874704, 34.405778, 35.834066, 44.124003, 205.259661], [28.963760, 29.511892, 30.614958, 37.917494, 178.520538], [89.021022, 90.151595, 94.555743, 115.394933, 451.849002]]
### 8
mean: [-5.398761, -2.511280, -5.236506, -5.810278, -4.800414, 11.773874, 10.267786]
std: [6.070314, 2.644005, 5.344827, 7.492435, 6.903131, 13.335151, 11.905952]
pca: [[-0.272625, 0.634961, -0.202989, -0.388633, -0.471332, 0.229981, 0.234979, 0.000000, 0.000000, 0.000000], [-0.118745, 0.118262, 0.456562, 0.547538, -0.572374, -0.365179, 0.051960, 0.000000, 0.000000, 0.000000], [-0.240042, 0.571795, 0.340065, -0.034290, 0.620346, -0.337090, -0.012312, 0.000000, 0.000000, 0.000000], [-0.336498, -0.030255, 0.128067, 0.473370, 0.225457, 0.670333, 0.381046, 0.000000, 0.000000, 0.000000], [-0.310029, -0.310984, 0.666616, -0.504754, -0.111279, 0.220247, -0.217084, 0.000000, 0.000000, 0.000000], [0.598903, 0.396156, 0.261151, 0.127761, -0.036505, 0.445137, -0.447630, 0.000000, 0.000000, 0.000000], [0.534716, -0.036374, 0.325154, -0.229808, 0.029313, -0.064195, 0.741107, 0.000000, 0.000000, 0.000000]]
fourier: [[93.778788, 94.553662, 99.606679, 120.725023, 485.888516], [40.734742, 41.237731, 43.357307, 52.764198, 226.015185], [82.465142, 83.317126, 87.636680, 106.495878, 471.285596], [115.671478, 116.687666, 123.092023, 149.014732, 522.925048], [106.467626, 107.549253, 113.412258, 137.442923, 432.037226], [205.975447, 207.595320, 219.218359, 264.972474, 1059.648684], [183.915950, 185.369292, 195.637487, 236.613808, 924.100686]]
### 10
mean: [-10.420099]
std: [13.806354]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[208.670903, 216.730301, 223.229422, 279.110509, 937.808914]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.240979, -0.535203, -0.049756, 0.009577, -0.359648], [-0.244789, -0.53046, -0.092259, 0.550531, 0.306403], [-0.476514, -0.270591, -0.057867, -0.001332, -0.354023], [-0.387232, -0.640598, 0.455606, 0.262906, 0.437743], [-0.856183, -0.462121, 0.597101, 0.466717, 0.09063], [-0.785931, -0.023745, -0.235927, 0.43747, 0.162159], [-0.498176, 0.199179, -0.735, 0.528898, 0.462117]], "network.0.bias": [-0.199438, -0.122285, -0.472373, 0.046495, 0.03563, -0.037053, -0.081639], "network.2.weight": [[0.270312, -0.277895, -0.323576, -0.430969, -0.209987, 0.066112, -0.253267], [0.414071, -0.009543, -0.073726, -0.40506, 0.193703, 0.620168, 1.128664], [0.134002, -0.028962, 0.119961, 0.450849, 0.747642, 0.565095, 0.603676], [0.306421, 0.365919, 0.033638, -0.03385, -0.648733, -0.014696, -0.770812], [0.185488, -0.281681, -0.466175, -0.502993, -0.416384, -0.039515, -0.284901], [0.075797, 0.21081, 0.186807, 0.259842, 0.860827, 0.411934, 0.756829], [0.218778, 0.163075, -0.287412, 0.286336, 0.575312, 0.498516, 0.836063]], "network.2.bias": [-0.378908, 0.200552, -0.248134, 0.348813, -0.15097, -0.131878, 0.397176], "network.4.weight": [[0.328046, -0.15719, -0.262855, -0.111127, -0.001436, -0.318161, -0.033746], [0.233633, 0.035032, -0.318972, -0.246343, -0.140678, 0.040189, -0.228347], [0.064369, -0.100605, -0.119321, -0.013722, 0.335558, -0.502491, -0.512434], [0.431534, 0.568241, 0.768741, -0.558254, -0.083852, 0.5584, 0.361514], [0.03209, 0.982686, 0.49924, -0.609346, 0.17189, 0.701332, 0.525295], [-0.310862, 0.141671, 0.159996, 0.019591, -0.26148, -0.225229, -0.16511], [0.262167, 0.654066, 0.678053, -0.240848, 0.348999, 0.234098, 0.100384]], "network.4.bias": [-0.215087, -0.296505, -0.378365, -0.069634, 0.185288, -0.333156, -0.263133], "network.6.weight": [[0.068177, -0.092241, 0.053382, 0.695216, 0.668221, 0.065689, 0.731464], [-0.125576, 0.261646, 0.049643, 0.399714, 0.741461, 0.101028, 0.343659], [-0.321395, 0.121716, -0.045765, 0.10391, -0.385212, -0.20997, 0.318807], [-0.02531, -0.118755, -0.082474, 0.234991, -0.008808, 0.074452, 0.37897], [0.125597, -0.341849, 0.152184, -0.27604, -0.248682, 0.14675, 0.145953], [0.080782, -0.048664, 0.20625, -0.255203, -0.250635, 0.361047, 0.216788], [-0.32605, 0.253768, -0.241517, 0.529126, 0.642592, 0.33065, -0.081312]], "network.6.bias": [-0.118128, -0.024451, -0.223929, 0.41949, -0.274814, -0.24064, -0.190933], "network.8.weight": [[-0.535426, 0.183668, 0.301883, -0.020681, -0.028309, 0.04051, -0.403845], [0.092922, -0.234696, -0.114121, -0.00258, 0.107395, -0.191765, -0.318585], [-0.180872, -0.051993, 0.085582, -0.021637, -0.086285, 0.047974, -0.560905], [-0.126443, -0.529298, -0.220688, -0.270986, -0.05236, 0.255041, -0.336401], [-0.340225, -0.42411, 0.101936, 0.447872, 0.074569, -0.358312, -0.301919], [0.579607, 0.811047, -0.214385, 0.324368, 0.095397, -0.143826, 0.249542], [0.607511, 0.485338, -0.153616, 0.307643, -0.303604, -0.002488, 0.363444]], "network.8.bias": [-0.164026, -0.179627, -0.586208, 0.856906, 1.072238, -0.002481, -0.219654], "network.10.weight": [[-0.039172, 0.369355, -0.120374, 1.09374, 1.058192, -0.50922, -0.545342]], "network.10.bias": [0.57638]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7007418274879456, "train_acc": 0.45, "val_loss": 0.6826973557472229, "val_acc": 0.74}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6688165962696075, "train_acc": 0.74, "val_loss": 0.6233994960784912, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5846022963523865, "train_acc": 0.715, "val_loss": 0.4792616367340088, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4675102233886719, "train_acc": 0.8, "val_loss": 0.4062753915786743, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3729863613843918, "train_acc": 0.905, "val_loss": 0.42222076654434204, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3041592538356781, "train_acc": 0.905, "val_loss": 0.3596324920654297, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2739330530166626, "train_acc": 0.89, "val_loss": 0.3438118100166321, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23960552364587784, "train_acc": 0.91, "val_loss": 0.37334030866622925, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.255460686981678, "train_acc": 0.915, "val_loss": 0.4518778622150421, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21917322278022766, "train_acc": 0.915, "val_loss": 0.32284966111183167, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2064131274819374, "train_acc": 0.935, "val_loss": 0.25439319014549255, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.18258312344551086, "train_acc": 0.945, "val_loss": 0.2443828135728836, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6826973557472229, "final_val_loss": 0.6233994960784912, "initial_val_acc": 0.74, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.4792616367340088, "final_val_loss": 0.2443828135728836, "initial_val_acc": 0.74, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 11}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
90
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.86, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1469, "learning_rate": 0.05734450156595675, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.950291,
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-0.590049
],
[
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0.127452,
1.098617
],
[
0.197138,
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-0.198036,
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],
[
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],
[
-0.412831,
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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[
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[
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[
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[
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]
],
"network.8.bias": [
0.126745,
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.507941, -0.573483, -2.702025, -0.565025, 1.001857, 0.013586]
std: [2.252460, 2.881394, 2.006844, 1.969031, 1.365118, 2.008939]
pca: [[-0.479557, -0.277116, -0.385084, -0.191395, 0.397941, 0.591569, 0.000000, 0.000000, 0.000000, 0.000000], [0.655331, -0.151752, 0.222235, -0.237688, 0.659155, 0.084518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253908, 0.642160, 0.545196, -0.365256, 0.046205, 0.300626, 0.000000, 0.000000, 0.000000, 0.000000], [0.262761, 0.624500, -0.438923, 0.498330, 0.176587, 0.262273, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043451, -0.294795, 0.546668, 0.664610, -0.022216, 0.412508, 0.000000, 0.000000, 0.000000, 0.000000], [0.452952, -0.104424, -0.116552, -0.288828, -0.611021, 0.559980, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.045858, 36.975180, 39.395483, 40.547195, 135.714699], [41.705483, 42.573096, 46.785680, 51.613490, 52.252740], [29.251888, 34.766780, 37.432505, 43.107241, 243.182252], [32.276961, 34.962884, 35.162509, 45.858233, 50.852235], [21.061808, 22.850524, 22.942204, 26.722629, 90.167127], [30.346780, 30.822437, 31.491299, 32.325879, 32.408768]]
### 2
mean: [-0.291040, 0.194759, 0.148072, -0.686802, 0.310639, 0.021570]
std: [2.467036, 2.419011, 1.840169, 1.727715, 1.336610, 2.656322]
pca: [[0.504964, -0.029519, 0.694595, -0.425950, 0.030880, 0.281586, 0.000000, 0.000000, 0.000000, 0.000000], [0.500602, -0.091217, -0.159350, 0.422192, 0.731770, 0.044181, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277939, 0.662754, 0.172146, 0.304372, 0.098838, 0.592842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286248, -0.521125, 0.545927, 0.583783, -0.087352, 0.004698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178325, -0.529140, -0.334302, -0.241081, 0.079121, 0.715593, 0.000000, 0.000000, 0.000000, 0.000000], [0.550838, 0.002260, -0.229600, 0.385689, -0.663249, 0.234949, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.629406, 34.870373, 36.125455, 40.468284, 46.676124], [32.598684, 33.746118, 35.333478, 41.828230, 51.904796], [28.454628, 30.666137, 32.639553, 32.652949, 34.758470], [29.835652, 30.200479, 30.362966, 30.407334, 61.812144], [21.785892, 22.542427, 22.779982, 24.569879, 27.957511], [35.273447, 38.676114, 41.083307, 45.411463, 56.827207]]
### 4
mean: [1.383229, -1.428703, -1.054535, 1.480371, 1.138416, -0.890281]
std: [2.569407, 5.796019, 2.811289, 3.417888, 4.131244, 2.608429]
pca: [[-0.281290, 0.267388, 0.634503, 0.661049, -0.098810, -0.006031, 0.000000, 0.000000, 0.000000, 0.000000], [0.635097, 0.615451, -0.043767, 0.122630, 0.382589, 0.233547, 0.000000, 0.000000, 0.000000, 0.000000], [0.284398, -0.557200, 0.391852, -0.014070, 0.063698, 0.671448, 0.000000, 0.000000, 0.000000, 0.000000], [-0.384456, 0.097758, 0.373616, -0.457438, 0.700916, -0.050154, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465583, -0.019231, -0.546618, 0.387362, 0.325646, 0.477469, 0.000000, 0.000000, 0.000000, 0.000000], [0.268462, -0.478879, -0.059685, 0.434142, 0.492419, -0.513892, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.169313, 42.083025, 43.642271, 48.680973, 124.490651], [87.779636, 88.195915, 100.031945, 124.792614, 128.583300], [45.341420, 45.921390, 48.399230, 57.026526, 94.908187], [56.135203, 56.652218, 56.876380, 65.604908, 133.233406], [67.187002, 68.167878, 69.029116, 81.206984, 102.457436], [41.932400, 42.871903, 44.314217, 52.605817, 80.125268]]
### 6
mean: [1.868708, 2.635798, -1.111588, -0.968107, 2.197230, -2.381035]
std: [3.970396, 5.051043, 3.060791, 1.900219, 5.623699, 4.397164]
pca: [[0.390082, 0.114630, -0.262706, 0.026038, -0.386064, 0.784830, 0.000000, 0.000000, 0.000000, 0.000000], [0.495832, -0.233412, -0.132990, -0.299310, 0.759203, 0.126522, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288990, 0.645527, -0.486259, -0.498999, 0.112237, -0.041648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176765, 0.471111, 0.177595, 0.623595, 0.487634, 0.297676, 0.000000, 0.000000, 0.000000, 0.000000], [0.548563, 0.529151, 0.560707, -0.191502, -0.135750, -0.222675, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431630, -0.117165, 0.575256, -0.484965, 0.075854, 0.477603, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.817544, 64.894973, 69.065489, 72.590539, 168.183757], [82.536028, 84.264430, 89.272194, 91.393156, 237.221813], [50.012230, 52.368767, 52.840643, 57.562665, 100.042909], [30.577591, 31.656913, 31.785484, 37.251878, 87.129617], [89.571329, 89.848787, 91.381876, 108.988801, 197.750717], [68.564182, 71.680367, 77.893320, 78.784344, 214.293120]]
### 8
mean: [3.062833, 4.730333, 3.823791, 0.497296, 0.285414, -0.401947]
std: [5.453685, 10.467037, 8.602878, 0.774941, 0.661299, 1.377688]
pca: [[0.371195, -0.173353, 0.596416, -0.459403, 0.487889, -0.165423, 0.000000, 0.000000, 0.000000, 0.000000], [0.713708, -0.108223, 0.070527, 0.647237, -0.125429, -0.198208, 0.000000, 0.000000, 0.000000, 0.000000], [0.586405, 0.152058, -0.390522, -0.495493, -0.238129, 0.422234, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011733, 0.717118, 0.583575, 0.072510, -0.311042, 0.207457, 0.000000, 0.000000, 0.000000, 0.000000], [0.039638, 0.309289, -0.180693, 0.313105, 0.750430, 0.457098, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085180, -0.570260, 0.337041, 0.145700, -0.172143, 0.709288, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.833982, 89.016290, 97.193594, 97.429726, 275.654930], [168.137359, 172.122783, 179.226437, 194.682677, 425.729999], [138.269360, 140.846352, 142.931194, 164.006062, 344.141230], [11.552859, 11.577012, 12.825958, 14.076973, 44.756633], [9.231067, 10.385278, 10.584495, 14.072153, 25.687291], [19.033726, 21.289194, 22.072643, 29.343132, 36.175200]]
### 10
mean: [-6.385768]
std: [13.910975]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[220.946224, 226.536821, 234.720553, 261.136977, 574.719086]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.950291,
0.268943,
-0.121882,
0.273619,
-0.590049
],
[
-1.000898,
-0.319752,
-0.129521,
0.127452,
1.098617
],
[
0.197138,
-0.243507,
-0.198036,
-0.267667,
-0.913393
],
[
-0.119542,
-0.535149,
0.318357,
-0.535662,
0.505582
],
[
-0.412831,
0.22821,
0.437744,
0.26258,
-0.354673
],
[
-0.598564,
-0.022596,
-0.216948,
-0.107135,
0.972349
]
],
"network.0.bias": [
0.230849,
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-0.389439,
0.419032,
0.059696,
0.283336
],
"network.2.weight": [
[
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[
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0.185633,
0.125242,
0.55332
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[
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[
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0.83004,
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0.339378,
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],
[
-0.151783,
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0.453915,
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0.677454,
-0.427526
],
[
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0.476599,
0.156958,
0.050025,
0.762717
]
],
"network.2.bias": [
-0.180093,
-0.126368,
0.255756,
0.102351,
0.305588,
-0.385452
],
"network.4.weight": [
[
0.623596,
0.198906,
0.57272,
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-0.161457,
0.472108
],
[
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0.585876,
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0.05926,
-1.127375
],
[
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0.465002,
0.685522,
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],
[
0.328739,
0.676694,
0.329546,
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0.675356
],
[
0.702252,
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0.069401,
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0.597697
],
[
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0.533397,
0.44969,
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]
],
"network.4.bias": [
0.140977,
0.309914,
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0.05375,
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0.168314
],
"network.6.weight": [
[
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[
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[
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[
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0.434283,
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[
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0.801564,
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],
[
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]
],
"network.6.bias": [
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0.234512
],
"network.8.weight": [
[
0.19689,
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],
[
0.583707,
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0.626875,
0.016573
],
[
0.280391,
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0.889032,
0.547893
],
[
0.375608,
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0.218183
],
[
0.21509,
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0.068061,
0.226294,
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],
[
-0.239375,
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-0.287951,
-0.469268,
-0.24747
]
],
"network.8.bias": [
0.126745,
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-0.019726,
0.170621,
0.099254,
0.012293
],
"network.10.weight": [
[
-0.100155,
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0.375657,
0.047079,
-0.156513
]
],
"network.10.bias": [
0.227422
]
}
## Activation Signature
### 0
mean: [1.507941, -0.573483, -2.702025, -0.565025, 1.001857, 0.013586]
std: [2.252460, 2.881394, 2.006844, 1.969031, 1.365118, 2.008939]
pca: [[-0.479557, -0.277116, -0.385084, -0.191395, 0.397941, 0.591569, 0.000000, 0.000000, 0.000000, 0.000000], [0.655331, -0.151752, 0.222235, -0.237688, 0.659155, 0.084518, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253908, 0.642160, 0.545196, -0.365256, 0.046205, 0.300626, 0.000000, 0.000000, 0.000000, 0.000000], [0.262761, 0.624500, -0.438923, 0.498330, 0.176587, 0.262273, 0.000000, 0.000000, 0.000000, 0.000000], [-0.043451, -0.294795, 0.546668, 0.664610, -0.022216, 0.412508, 0.000000, 0.000000, 0.000000, 0.000000], [0.452952, -0.104424, -0.116552, -0.288828, -0.611021, 0.559980, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.045858, 36.975180, 39.395483, 40.547195, 135.714699], [41.705483, 42.573096, 46.785680, 51.613490, 52.252740], [29.251888, 34.766780, 37.432505, 43.107241, 243.182252], [32.276961, 34.962884, 35.162509, 45.858233, 50.852235], [21.061808, 22.850524, 22.942204, 26.722629, 90.167127], [30.346780, 30.822437, 31.491299, 32.325879, 32.408768]]
### 2
mean: [-0.291040, 0.194759, 0.148072, -0.686802, 0.310639, 0.021570]
std: [2.467036, 2.419011, 1.840169, 1.727715, 1.336610, 2.656322]
pca: [[0.504964, -0.029519, 0.694595, -0.425950, 0.030880, 0.281586, 0.000000, 0.000000, 0.000000, 0.000000], [0.500602, -0.091217, -0.159350, 0.422192, 0.731770, 0.044181, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277939, 0.662754, 0.172146, 0.304372, 0.098838, 0.592842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286248, -0.521125, 0.545927, 0.583783, -0.087352, 0.004698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178325, -0.529140, -0.334302, -0.241081, 0.079121, 0.715593, 0.000000, 0.000000, 0.000000, 0.000000], [0.550838, 0.002260, -0.229600, 0.385689, -0.663249, 0.234949, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.629406, 34.870373, 36.125455, 40.468284, 46.676124], [32.598684, 33.746118, 35.333478, 41.828230, 51.904796], [28.454628, 30.666137, 32.639553, 32.652949, 34.758470], [29.835652, 30.200479, 30.362966, 30.407334, 61.812144], [21.785892, 22.542427, 22.779982, 24.569879, 27.957511], [35.273447, 38.676114, 41.083307, 45.411463, 56.827207]]
### 4
mean: [1.383229, -1.428703, -1.054535, 1.480371, 1.138416, -0.890281]
std: [2.569407, 5.796019, 2.811289, 3.417888, 4.131244, 2.608429]
pca: [[-0.281290, 0.267388, 0.634503, 0.661049, -0.098810, -0.006031, 0.000000, 0.000000, 0.000000, 0.000000], [0.635097, 0.615451, -0.043767, 0.122630, 0.382589, 0.233547, 0.000000, 0.000000, 0.000000, 0.000000], [0.284398, -0.557200, 0.391852, -0.014070, 0.063698, 0.671448, 0.000000, 0.000000, 0.000000, 0.000000], [-0.384456, 0.097758, 0.373616, -0.457438, 0.700916, -0.050154, 0.000000, 0.000000, 0.000000, 0.000000], [-0.465583, -0.019231, -0.546618, 0.387362, 0.325646, 0.477469, 0.000000, 0.000000, 0.000000, 0.000000], [0.268462, -0.478879, -0.059685, 0.434142, 0.492419, -0.513892, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.169313, 42.083025, 43.642271, 48.680973, 124.490651], [87.779636, 88.195915, 100.031945, 124.792614, 128.583300], [45.341420, 45.921390, 48.399230, 57.026526, 94.908187], [56.135203, 56.652218, 56.876380, 65.604908, 133.233406], [67.187002, 68.167878, 69.029116, 81.206984, 102.457436], [41.932400, 42.871903, 44.314217, 52.605817, 80.125268]]
### 6
mean: [1.868708, 2.635798, -1.111588, -0.968107, 2.197230, -2.381035]
std: [3.970396, 5.051043, 3.060791, 1.900219, 5.623699, 4.397164]
pca: [[0.390082, 0.114630, -0.262706, 0.026038, -0.386064, 0.784830, 0.000000, 0.000000, 0.000000, 0.000000], [0.495832, -0.233412, -0.132990, -0.299310, 0.759203, 0.126522, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288990, 0.645527, -0.486259, -0.498999, 0.112237, -0.041648, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176765, 0.471111, 0.177595, 0.623595, 0.487634, 0.297676, 0.000000, 0.000000, 0.000000, 0.000000], [0.548563, 0.529151, 0.560707, -0.191502, -0.135750, -0.222675, 0.000000, 0.000000, 0.000000, 0.000000], [-0.431630, -0.117165, 0.575256, -0.484965, 0.075854, 0.477603, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.817544, 64.894973, 69.065489, 72.590539, 168.183757], [82.536028, 84.264430, 89.272194, 91.393156, 237.221813], [50.012230, 52.368767, 52.840643, 57.562665, 100.042909], [30.577591, 31.656913, 31.785484, 37.251878, 87.129617], [89.571329, 89.848787, 91.381876, 108.988801, 197.750717], [68.564182, 71.680367, 77.893320, 78.784344, 214.293120]]
### 8
mean: [3.062833, 4.730333, 3.823791, 0.497296, 0.285414, -0.401947]
std: [5.453685, 10.467037, 8.602878, 0.774941, 0.661299, 1.377688]
pca: [[0.371195, -0.173353, 0.596416, -0.459403, 0.487889, -0.165423, 0.000000, 0.000000, 0.000000, 0.000000], [0.713708, -0.108223, 0.070527, 0.647237, -0.125429, -0.198208, 0.000000, 0.000000, 0.000000, 0.000000], [0.586405, 0.152058, -0.390522, -0.495493, -0.238129, 0.422234, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011733, 0.717118, 0.583575, 0.072510, -0.311042, 0.207457, 0.000000, 0.000000, 0.000000, 0.000000], [0.039638, 0.309289, -0.180693, 0.313105, 0.750430, 0.457098, 0.000000, 0.000000, 0.000000, 0.000000], [-0.085180, -0.570260, 0.337041, 0.145700, -0.172143, 0.709288, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.833982, 89.016290, 97.193594, 97.429726, 275.654930], [168.137359, 172.122783, 179.226437, 194.682677, 425.729999], [138.269360, 140.846352, 142.931194, 164.006062, 344.141230], [11.552859, 11.577012, 12.825958, 14.076973, 44.756633], [9.231067, 10.385278, 10.584495, 14.072153, 25.687291], [19.033726, 21.289194, 22.072643, 29.343132, 36.175200]]
### 10
mean: [-6.385768]
std: [13.910975]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[220.946224, 226.536821, 234.720553, 261.136977, 574.719086]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.5079410076141357, "std": 2.252460241317749, "pca": [-0.4795570373535156, -0.2771163284778595, -0.38508352637290955, -0.19139477610588074, 0.39794090390205383, 0.5915685296058655, 0.0, 0.0, 0.0, 0.0], "fourier": [36.04585810971715, 36.97518023636766, 39.395482974696925, 40.54719509534903, 135.71469946205616]}, "1": {"mean": -0.5734831690788269, "std": 2.881394386291504, "pca": [0.6553313136100769, -0.15175184607505798, 0.22223512828350067, -0.23768804967403412, 0.6591547131538391, 0.08451776206493378, 0.0, 0.0, 0.0, 0.0], "fourier": [41.70548292557217, 42.57309550384021, 46.78568035914253, 51.61348956823349, 52.25273956431336]}, "2": {"mean": -2.7020249366760254, "std": 2.0068442821502686, "pca": [-0.2539079785346985, 0.6421598792076111, 0.5451961755752563, -0.36525553464889526, 0.04620452970266342, 0.3006262183189392, 0.0, 0.0, 0.0, 0.0], "fourier": [29.251888071045926, 34.766780126861576, 37.432504619503874, 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"neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.950291, 0.268943, -0.121882, 0.273619, -0.590049], [-1.000898, -0.319752, -0.129521, 0.127452, 1.098617], [0.197138, -0.243507, -0.198036, -0.267667, -0.913393], [-0.119542, -0.535149, 0.318357, -0.535662, 0.505582], [-0.412831, 0.22821, 0.437744, 0.26258, -0.354673], [-0.598564, -0.022596, -0.216948, -0.107135, 0.972349]], "network.0.bias": [0.230849, -0.102983, -0.389439, 0.419032, 0.059696, 0.283336], "network.2.weight": [[-0.502179, 0.467672, -0.366291, 0.395533, -0.181556, 0.684407], [-0.410799, 0.747979, 0.528764, 0.185633, 0.125242, 0.55332], [0.60716, -0.368927, -0.910192, -0.031988, -0.759242, -0.15298], [-0.229357, -0.331932, 0.83004, -0.029615, 0.339378, -0.822992], [-0.151783, -0.157444, 0.453915, -0.192329, 0.677454, -0.427526], [-0.381759, 0.744558, 0.476599, 0.156958, 0.050025, 0.762717]], "network.2.bias": [-0.180093, -0.126368, 0.255756, 0.102351, 0.305588, -0.385452], "network.4.weight": [[0.623596, 0.198906, 0.57272, -0.237367, -0.161457, 0.472108], [-0.361198, -1.236717, 0.585876, -0.275772, 0.05926, -1.127375], [-0.549264, -0.242042, -0.793808, 0.465002, 0.685522, -0.425962], [0.328739, 0.676694, 0.329546, -0.719803, -0.01946, 0.675356], [0.702252, 0.723098, 0.069401, -0.06725, -0.490849, 0.597697], [-0.274451, -0.386832, -0.750016, 0.533397, 0.44969, -0.480306]], "network.4.bias": [0.140977, 0.309914, -0.057873, 0.05375, -0.159001, 0.168314], "network.6.weight": [[0.485418, 0.3587, 0.107408, 0.604887, 0.208048, -0.000174], [0.561961, 0.805681, -0.097037, 0.56235, 0.446269, -0.38938], [-0.409356, -0.512446, 0.578424, -0.398798, -0.08422, 0.606359], [-0.06587, -0.712708, 0.434283, -0.359084, -0.09055, 0.146551], [0.307937, 0.25627, 0.252875, 0.537534, 0.801564, -0.155055], [-0.834126, -0.272849, -0.075049, -0.668668, -0.04442, -0.218195]], "network.6.bias": [-0.383706, -0.0846, 0.084717, 0.066794, -0.535861, 0.234512], "network.8.weight": [[0.19689, 0.896636, -0.02349, -0.036108, 0.040513, -0.22138], [0.583707, 0.932624, -0.202561, -0.544545, 0.626875, 0.016573], [0.280391, 0.504434, -0.379127, 0.023239, 0.889032, 0.547893], [0.375608, -0.237381, 0.781807, 0.21664, -0.045977, 0.218183], [0.21509, -0.298023, 0.104314, 0.068061, 0.226294, -0.249785], [-0.239375, 0.448716, -0.126508, -0.287951, -0.469268, -0.24747]], "network.8.bias": [0.126745, -0.278592, -0.019726, 0.170621, 0.099254, 0.012293], "network.10.weight": [[-0.100155, -0.781847, -0.623522, 0.375657, 0.047079, -0.156513]], "network.10.bias": [0.227422]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895153522491455, "train_acc": 0.485, "val_loss": 0.6281188726425171, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6644256114959717, "train_acc": 0.555, "val_loss": 0.5676619410514832, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5949346721172333, "train_acc": 0.48, "val_loss": 0.4692615568637848, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5305808633565903, "train_acc": 0.615, "val_loss": 0.4714890420436859, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5177291929721832, "train_acc": 0.71, "val_loss": 0.49268195033073425, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5032046139240265, "train_acc": 0.715, "val_loss": 0.43044227361679077, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4698503464460373, "train_acc": 0.745, "val_loss": 0.4110265076160431, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4279100000858307, "train_acc": 0.77, "val_loss": 0.37751320004463196, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.42305758595466614, "train_acc": 0.79, "val_loss": 0.31781113147735596, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3628743290901184, "train_acc": 0.835, "val_loss": 0.3106997013092041, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3812554180622101, "train_acc": 0.82, "val_loss": 0.3085559904575348, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3599240481853485, "train_acc": 0.825, "val_loss": 0.3269983232021332, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6281188726425171, "final_val_loss": 0.5676619410514832, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4692615568637848, "final_val_loss": 0.3269983232021332, "initial_val_acc": 0.7, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 10}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
91
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.6, "improved_accuracy": 0.86, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9217, "learning_rate": 0.03413339280459434, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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"network.0.bias": [
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## Activation Signature
### 0
mean: [0.522120, 0.134671, 2.571546, 0.674178, -1.855580, -1.344880, -1.180234, -1.500869]
std: [1.349107, 0.955983, 1.628381, 0.739270, 1.152096, 0.713323, 1.399608, 1.603662]
pca: [[-0.457238, -0.245124, 0.283539, 0.499807, 0.548714, 0.293058, -0.012693, -0.116252, 0.000000, 0.000000], [0.221743, 0.056175, -0.329030, 0.721596, -0.029063, -0.391228, 0.379404, 0.144439, 0.000000, 0.000000], [0.591193, -0.408418, 0.243837, 0.100543, -0.159636, 0.553080, 0.225096, 0.179085, 0.000000, 0.000000], [0.208604, 0.113020, 0.087953, -0.386332, 0.589156, -0.143600, 0.628464, -0.155017, 0.000000, 0.000000], [-0.415291, 0.283159, -0.107410, 0.016649, -0.438426, 0.417522, 0.561324, -0.232193, 0.000000, 0.000000], [-0.269457, 0.156220, 0.073424, -0.119297, 0.082870, 0.059984, 0.141547, 0.923506, 0.000000, 0.000000], [0.267852, 0.549982, -0.432987, 0.097279, 0.335780, 0.494938, -0.266473, 0.010673, 0.000000, 0.000000], [0.178661, 0.591706, 0.734675, 0.214847, -0.116820, -0.107947, -0.064257, -0.051278, 0.000000, 0.000000]]
fourier: [[19.501317, 20.869792, 23.668794, 31.551275, 46.990832], [14.659360, 15.013675, 15.068876, 19.447742, 19.966871], [23.707744, 24.074209, 28.752960, 34.352961, 231.439158], [12.983667, 13.797178, 13.912555, 15.184810, 60.675990], [16.661197, 19.496850, 20.112176, 22.652730, 167.002240], [11.686313, 11.970187, 12.121842, 13.967719, 121.039245], [22.288713, 22.618242, 22.958095, 31.566875, 106.221082], [25.176648, 25.690505, 26.194529, 28.267571, 135.078222]]
### 2
mean: [0.581337, 1.449942, 1.762740, -0.035787, 0.444427, 0.885505, 0.230530, 1.975873]
std: [0.225865, 1.042755, 1.238439, 0.941848, 0.524289, 0.563519, 0.751712, 1.480589]
pca: [[0.045967, -0.235883, 0.213578, 0.084581, 0.348369, -0.461904, 0.679904, -0.304123, 0.000000, 0.000000], [0.414882, 0.128670, -0.180763, 0.585514, -0.235834, -0.051007, 0.321075, 0.523934, 0.000000, 0.000000], [0.468718, 0.502464, -0.475302, -0.188847, 0.128288, -0.340162, -0.133854, -0.340841, 0.000000, 0.000000], [-0.347238, 0.466435, 0.232554, -0.354444, -0.408049, -0.439311, 0.196604, 0.289829, 0.000000, 0.000000], [-0.135178, 0.480522, 0.482364, 0.587980, 0.149148, -0.041751, -0.274525, -0.270330, 0.000000, 0.000000], [0.222877, 0.025863, 0.273044, -0.216373, 0.643112, -0.155366, -0.242353, 0.576039, 0.000000, 0.000000], [-0.263668, 0.462634, -0.204368, -0.084732, 0.381994, 0.552562, 0.460787, 0.062713, 0.000000, 0.000000], [0.589933, 0.110323, 0.541038, -0.298343, -0.241459, 0.379646, 0.177896, -0.154909, 0.000000, 0.000000]]
fourier: [[3.656840, 3.716992, 4.262317, 4.365764, 52.320342], [16.292880, 16.594687, 18.061132, 19.417009, 130.494809], [19.176842, 19.578106, 21.031803, 22.146027, 158.646594], [14.014257, 14.248163, 15.393169, 15.411002, 19.291325], [7.462339, 7.776149, 10.376024, 11.026934, 39.998411], [8.549049, 8.763545, 8.783583, 8.887729, 79.695493], [11.919008, 12.934501, 13.057981, 14.053550, 20.747692], [23.159568, 23.248626, 23.633016, 24.779797, 177.828600]]
### 4
mean: [0.462076, 2.509877, -0.514124, 0.840094, -1.818349, -1.237006, 3.484720, -1.292170]
std: [0.697753, 1.816040, 0.271721, 0.738660, 0.907828, 0.318004, 2.559143, 0.567022]
pca: [[-0.162247, 0.748383, 0.487810, 0.189061, 0.247070, 0.235034, 0.134872, 0.073630, 0.000000, 0.000000], [0.526981, 0.074212, 0.062143, -0.356899, -0.307237, 0.682932, -0.047758, -0.149911, 0.000000, 0.000000], [0.047453, -0.371782, 0.417930, 0.390543, -0.031294, 0.220897, -0.518803, 0.461959, 0.000000, 0.000000], [0.212499, 0.067220, 0.502571, -0.373264, -0.423412, -0.532096, 0.140185, 0.276345, 0.000000, 0.000000], [-0.261689, -0.186702, -0.116897, -0.398400, 0.231517, 0.298957, 0.404550, 0.646249, 0.000000, 0.000000], [-0.077403, -0.305414, 0.200356, 0.469832, -0.360461, 0.169040, 0.673964, -0.164658, 0.000000, 0.000000], [0.742807, -0.062627, -0.022520, 0.215506, 0.529184, -0.166255, 0.269850, 0.129883, 0.000000, 0.000000], [-0.149415, -0.399521, 0.525949, -0.345142, 0.448036, 0.029167, 0.003576, -0.469801, 0.000000, 0.000000]]
fourier: [[10.471184, 11.609516, 12.206910, 16.125680, 41.586853], [27.826490, 28.379090, 30.137451, 34.107693, 225.888973], [3.793464, 4.047148, 4.452325, 5.757164, 46.271184], [11.343935, 11.755482, 12.511528, 12.839809, 75.608465], [14.317056, 14.339083, 14.710529, 16.148614, 163.651434], [5.089996, 5.096905, 5.140377, 5.964308, 111.330534], [38.237347, 39.816203, 42.112887, 49.555516, 313.624828], [8.894724, 8.931014, 8.952466, 10.185195, 116.295273]]
### 6
mean: [2.114574, -0.101032, 3.661677, 2.205442, 2.692973, -0.268252, -0.863613, 3.858412]
std: [1.870389, 0.376428, 2.711906, 1.592717, 2.274360, 0.804118, 1.030583, 2.935471]
pca: [[0.346341, 0.512015, -0.278524, 0.134486, 0.194921, -0.101560, -0.049499, 0.686635, 0.000000, 0.000000], [0.066745, 0.321992, 0.572596, -0.424546, 0.331503, 0.520208, -0.053141, 0.020653, 0.000000, 0.000000], [0.503994, -0.301607, 0.175229, -0.522259, -0.479068, -0.215301, -0.137548, 0.238295, 0.000000, 0.000000], [0.294483, -0.505621, -0.217967, 0.264204, 0.026391, 0.709502, 0.030006, 0.187948, 0.000000, 0.000000], [0.422680, 0.241651, 0.468929, 0.564964, -0.325604, -0.015126, 0.275871, -0.203756, 0.000000, 0.000000], [-0.147311, -0.400356, 0.514693, 0.336713, 0.324894, -0.282683, -0.357232, 0.355878, 0.000000, 0.000000], [-0.191269, -0.194390, 0.136184, -0.136938, 0.087871, -0.098024, 0.866559, 0.346520, 0.000000, 0.000000], [0.545821, -0.176280, -0.113992, -0.088342, 0.634519, -0.282090, 0.142344, -0.384390, 0.000000, 0.000000]]
fourier: [[27.140671, 28.851843, 31.707162, 38.195481, 190.311681], [5.537986, 6.000961, 6.502549, 7.882679, 9.092873], [41.547998, 42.637044, 46.261612, 51.398955, 329.550918], [25.027254, 25.154961, 26.814057, 28.999728, 198.489793], [33.652470, 35.483344, 39.012360, 44.893580, 242.367600], [11.407997, 12.164249, 13.344234, 17.052545, 24.142711], [15.139057, 15.981179, 17.497819, 20.765181, 77.725177], [44.663440, 46.060282, 49.954076, 56.391023, 347.257033]]
### 8
mean: [-5.705343]
std: [4.726473]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.586707, 74.122544, 81.629736, 91.815013, 513.480897]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
-0.387275,
-0.026725,
-0.431241,
-0.105255,
-0.425271,
0.424872,
0.256112,
-0.580568
]
],
"network.8.bias": [
0.302364
]
}
## Activation Signature
### 0
mean: [0.522120, 0.134671, 2.571546, 0.674178, -1.855580, -1.344880, -1.180234, -1.500869]
std: [1.349107, 0.955983, 1.628381, 0.739270, 1.152096, 0.713323, 1.399608, 1.603662]
pca: [[-0.457238, -0.245124, 0.283539, 0.499807, 0.548714, 0.293058, -0.012693, -0.116252, 0.000000, 0.000000], [0.221743, 0.056175, -0.329030, 0.721596, -0.029063, -0.391228, 0.379404, 0.144439, 0.000000, 0.000000], [0.591193, -0.408418, 0.243837, 0.100543, -0.159636, 0.553080, 0.225096, 0.179085, 0.000000, 0.000000], [0.208604, 0.113020, 0.087953, -0.386332, 0.589156, -0.143600, 0.628464, -0.155017, 0.000000, 0.000000], [-0.415291, 0.283159, -0.107410, 0.016649, -0.438426, 0.417522, 0.561324, -0.232193, 0.000000, 0.000000], [-0.269457, 0.156220, 0.073424, -0.119297, 0.082870, 0.059984, 0.141547, 0.923506, 0.000000, 0.000000], [0.267852, 0.549982, -0.432987, 0.097279, 0.335780, 0.494938, -0.266473, 0.010673, 0.000000, 0.000000], [0.178661, 0.591706, 0.734675, 0.214847, -0.116820, -0.107947, -0.064257, -0.051278, 0.000000, 0.000000]]
fourier: [[19.501317, 20.869792, 23.668794, 31.551275, 46.990832], [14.659360, 15.013675, 15.068876, 19.447742, 19.966871], [23.707744, 24.074209, 28.752960, 34.352961, 231.439158], [12.983667, 13.797178, 13.912555, 15.184810, 60.675990], [16.661197, 19.496850, 20.112176, 22.652730, 167.002240], [11.686313, 11.970187, 12.121842, 13.967719, 121.039245], [22.288713, 22.618242, 22.958095, 31.566875, 106.221082], [25.176648, 25.690505, 26.194529, 28.267571, 135.078222]]
### 2
mean: [0.581337, 1.449942, 1.762740, -0.035787, 0.444427, 0.885505, 0.230530, 1.975873]
std: [0.225865, 1.042755, 1.238439, 0.941848, 0.524289, 0.563519, 0.751712, 1.480589]
pca: [[0.045967, -0.235883, 0.213578, 0.084581, 0.348369, -0.461904, 0.679904, -0.304123, 0.000000, 0.000000], [0.414882, 0.128670, -0.180763, 0.585514, -0.235834, -0.051007, 0.321075, 0.523934, 0.000000, 0.000000], [0.468718, 0.502464, -0.475302, -0.188847, 0.128288, -0.340162, -0.133854, -0.340841, 0.000000, 0.000000], [-0.347238, 0.466435, 0.232554, -0.354444, -0.408049, -0.439311, 0.196604, 0.289829, 0.000000, 0.000000], [-0.135178, 0.480522, 0.482364, 0.587980, 0.149148, -0.041751, -0.274525, -0.270330, 0.000000, 0.000000], [0.222877, 0.025863, 0.273044, -0.216373, 0.643112, -0.155366, -0.242353, 0.576039, 0.000000, 0.000000], [-0.263668, 0.462634, -0.204368, -0.084732, 0.381994, 0.552562, 0.460787, 0.062713, 0.000000, 0.000000], [0.589933, 0.110323, 0.541038, -0.298343, -0.241459, 0.379646, 0.177896, -0.154909, 0.000000, 0.000000]]
fourier: [[3.656840, 3.716992, 4.262317, 4.365764, 52.320342], [16.292880, 16.594687, 18.061132, 19.417009, 130.494809], [19.176842, 19.578106, 21.031803, 22.146027, 158.646594], [14.014257, 14.248163, 15.393169, 15.411002, 19.291325], [7.462339, 7.776149, 10.376024, 11.026934, 39.998411], [8.549049, 8.763545, 8.783583, 8.887729, 79.695493], [11.919008, 12.934501, 13.057981, 14.053550, 20.747692], [23.159568, 23.248626, 23.633016, 24.779797, 177.828600]]
### 4
mean: [0.462076, 2.509877, -0.514124, 0.840094, -1.818349, -1.237006, 3.484720, -1.292170]
std: [0.697753, 1.816040, 0.271721, 0.738660, 0.907828, 0.318004, 2.559143, 0.567022]
pca: [[-0.162247, 0.748383, 0.487810, 0.189061, 0.247070, 0.235034, 0.134872, 0.073630, 0.000000, 0.000000], [0.526981, 0.074212, 0.062143, -0.356899, -0.307237, 0.682932, -0.047758, -0.149911, 0.000000, 0.000000], [0.047453, -0.371782, 0.417930, 0.390543, -0.031294, 0.220897, -0.518803, 0.461959, 0.000000, 0.000000], [0.212499, 0.067220, 0.502571, -0.373264, -0.423412, -0.532096, 0.140185, 0.276345, 0.000000, 0.000000], [-0.261689, -0.186702, -0.116897, -0.398400, 0.231517, 0.298957, 0.404550, 0.646249, 0.000000, 0.000000], [-0.077403, -0.305414, 0.200356, 0.469832, -0.360461, 0.169040, 0.673964, -0.164658, 0.000000, 0.000000], [0.742807, -0.062627, -0.022520, 0.215506, 0.529184, -0.166255, 0.269850, 0.129883, 0.000000, 0.000000], [-0.149415, -0.399521, 0.525949, -0.345142, 0.448036, 0.029167, 0.003576, -0.469801, 0.000000, 0.000000]]
fourier: [[10.471184, 11.609516, 12.206910, 16.125680, 41.586853], [27.826490, 28.379090, 30.137451, 34.107693, 225.888973], [3.793464, 4.047148, 4.452325, 5.757164, 46.271184], [11.343935, 11.755482, 12.511528, 12.839809, 75.608465], [14.317056, 14.339083, 14.710529, 16.148614, 163.651434], [5.089996, 5.096905, 5.140377, 5.964308, 111.330534], [38.237347, 39.816203, 42.112887, 49.555516, 313.624828], [8.894724, 8.931014, 8.952466, 10.185195, 116.295273]]
### 6
mean: [2.114574, -0.101032, 3.661677, 2.205442, 2.692973, -0.268252, -0.863613, 3.858412]
std: [1.870389, 0.376428, 2.711906, 1.592717, 2.274360, 0.804118, 1.030583, 2.935471]
pca: [[0.346341, 0.512015, -0.278524, 0.134486, 0.194921, -0.101560, -0.049499, 0.686635, 0.000000, 0.000000], [0.066745, 0.321992, 0.572596, -0.424546, 0.331503, 0.520208, -0.053141, 0.020653, 0.000000, 0.000000], [0.503994, -0.301607, 0.175229, -0.522259, -0.479068, -0.215301, -0.137548, 0.238295, 0.000000, 0.000000], [0.294483, -0.505621, -0.217967, 0.264204, 0.026391, 0.709502, 0.030006, 0.187948, 0.000000, 0.000000], [0.422680, 0.241651, 0.468929, 0.564964, -0.325604, -0.015126, 0.275871, -0.203756, 0.000000, 0.000000], [-0.147311, -0.400356, 0.514693, 0.336713, 0.324894, -0.282683, -0.357232, 0.355878, 0.000000, 0.000000], [-0.191269, -0.194390, 0.136184, -0.136938, 0.087871, -0.098024, 0.866559, 0.346520, 0.000000, 0.000000], [0.545821, -0.176280, -0.113992, -0.088342, 0.634519, -0.282090, 0.142344, -0.384390, 0.000000, 0.000000]]
fourier: [[27.140671, 28.851843, 31.707162, 38.195481, 190.311681], [5.537986, 6.000961, 6.502549, 7.882679, 9.092873], [41.547998, 42.637044, 46.261612, 51.398955, 329.550918], [25.027254, 25.154961, 26.814057, 28.999728, 198.489793], [33.652470, 35.483344, 39.012360, 44.893580, 242.367600], [11.407997, 12.164249, 13.344234, 17.052545, 24.142711], [15.139057, 15.981179, 17.497819, 20.765181, 77.725177], [44.663440, 46.060282, 49.954076, 56.391023, 347.257033]]
### 8
mean: [-5.705343]
std: [4.726473]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[72.586707, 74.122544, 81.629736, 91.815013, 513.480897]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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"layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 2.114574432373047, "std": 1.8703888654708862, "pca": [0.34634098410606384, 0.512015163898468, -0.2785235047340393, 0.1344861388206482, 0.19492127001285553, -0.10155994445085526, -0.04949932545423508, 0.6866350173950195, 0.0, 0.0], "fourier": [27.140670869794413, 28.8518434784054, 31.707161699621956, 38.195481014243896, 190.3116813749075]}, "1": {"mean": -0.10103191435337067, "std": 0.3764282166957855, "pca": [0.06674505770206451, 0.32199153304100037, 0.5725962519645691, -0.42454591393470764, 0.3315025269985199, 0.5202081203460693, -0.053140800446271896, 0.020652780309319496, 0.0, 0.0], "fourier": [5.537986027233677, 6.000961291245233, 6.502549157494463, 7.882679304619898, 9.092872619628906]}, "2": {"mean": 3.6616766452789307, "std": 2.7119061946868896, "pca": [0.5039937496185303, -0.3016071617603302, 0.17522884905338287, -0.5222587585449219, -0.4790675640106201, -0.21530058979988098, -0.1375480741262436, 0.23829494416713715, 0.0, 0.0], "fourier": [41.54799765391863, 42.63704436125358, 46.261612233910874, 51.398955470787165, 329.5509184151888]}, "3": {"mean": 2.205442190170288, "std": 1.5927168130874634, "pca": [0.2944827675819397, -0.5056210160255432, -0.21796713769435883, 0.26420387625694275, 0.02639090083539486, 0.7095016837120056, 0.03000648133456707, 0.1879478394985199, 0.0, 0.0], "fourier": [25.0272541099827, 25.154960761361544, 26.814056702090426, 28.99972772146189, 198.4897929430008]}, "4": {"mean": 2.6929733753204346, "std": 2.274359703063965, "pca": [0.42267969250679016, 0.24165120720863342, 0.46892890334129333, 0.5649637579917908, -0.32560381293296814, -0.015125950798392296, 0.2758713960647583, -0.20375613868236542, 0.0, 0.0], "fourier": [33.65247045053319, 35.4833438391401, 39.012360481210855, 44.893579668722104, 242.36759988963604]}, "5": {"mean": -0.2682523727416992, "std": 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56.39102305005254, 347.2570333182812]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -5.705343246459961, "std": 4.726473331451416, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [72.58670694273825, 74.12254388044875, 81.62973622702036, 91.81501311785377, 513.4808965623379]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.338392, -0.489264, 0.416026, 0.346632, -0.025718], [-0.124374, 0.466496, -0.0669, 0.046973, -0.210155], [0.124786, 0.645654, 0.310538, -0.162116, 0.253284], [0.38569, -0.033578, -0.041014, -0.00793, -0.10743], [-0.227764, -0.34594, -0.19186, -0.035415, -0.117588], [-0.033061, -0.358636, -0.032826, 0.034193, -0.095476], [0.311535, 0.249193, -0.434727, -0.057649, -0.488017], [0.187438, -0.060993, 0.263989, -0.431565, -0.612945]], "network.0.bias": [0.254132, -0.262406, 0.626317, 0.49057, -0.320018, -0.537224, -0.3884, -0.492994], "network.2.weight": [[-0.139448, -0.054357, -0.053319, 0.20263, -0.327868, 0.110511, 0.031511, 0.085343], [-0.349752, 0.500151, 0.2834, 0.450746, -0.003503, -0.179585, 0.151658, -0.226038], [-0.275713, 0.636734, 0.462158, 0.176487, 0.298073, -0.264882, 0.391617, 0.051362], [0.620546, -0.262662, -0.02624, -0.487702, 0.368418, -0.388339, -0.361601, 0.006012], [0.531751, -0.048415, 0.095425, -0.066441, -0.155332, 0.203873, -0.204936, -0.393195], [-0.18658, 0.080636, 0.181789, 0.226321, -0.169595, -0.163621, 0.303633, 0.092613], [0.534429, -0.060303, -0.014286, -0.498752, 0.109253, 0.056124, -0.000695, -0.121323], [-0.546928, 0.265795, 0.500933, 0.581506, -0.267579, 0.032488, 0.399294, -0.052463]], "network.2.bias": [0.706525, 0.491563, 0.364654, 0.005531, -0.122563, 0.338282, 0.201265, 0.58486], "network.4.weight": [[0.137956, -0.226717, -0.036379, 0.28188, 0.622607, -0.111114, 0.425696, 0.165753], [0.597233, 0.27287, 0.320011, -0.190243, 0.05981, 0.078575, -0.481183, 0.56628], [0.225436, -0.292743, -0.041561, -0.093027, -0.351017, -0.112832, -0.026798, 0.265694], [-0.03056, 0.126563, -0.208776, -0.200584, 0.015603, -0.07177, 0.081344, 0.58805], [-0.337212, -0.086453, -0.168059, -0.038574, 0.194162, 0.168535, -0.084346, -0.458935], [-0.211829, -0.21531, -0.151954, 0.125899, -0.349291, -0.013556, -0.083385, 0.041359], [0.681269, 0.591734, 0.335538, -0.379904, -0.4867, 0.471859, -0.195115, 0.593049], [-0.220088, -0.205937, -0.376539, -0.311179, -0.013458, 0.218905, 0.107317, -0.036148]], "network.4.bias": [-0.03701, 0.251012, -0.362794, -0.034649, -0.47761, -0.445914, 0.489192, -0.249266], "network.6.weight": [[-0.599537, 0.472287, -0.249554, -0.249948, 0.280929, -0.067321, 0.358432, -0.187023], [-0.338357, 0.123792, -0.313265, 0.242788, -0.423192, -0.210375, -0.081167, 0.226739], [-0.160827, 0.61286, 0.040216, 0.352584, -0.175504, -0.496522, 0.517438, -0.284784], [0.186548, 0.219071, -0.208363, 0.143689, 0.144574, -0.045516, 0.475824, 0.079278], [-0.500813, 0.254738, 0.202974, 0.337403, -0.214351, -0.367771, 0.53314, 0.225021], [0.368705, -0.409079, -0.155622, 0.424174, 0.125464, -0.073989, -0.070208, -8.4e-05], [0.26572, -0.227046, -0.333728, 0.093683, -0.026864, 0.413279, -0.222818, -0.276361], [-0.251192, 0.618266, -0.300071, 0.153932, -0.119076, 0.164599, 0.641269, -0.065754]], "network.6.bias": [0.17776, -0.163826, 0.065645, -0.245447, 0.13503, 0.460857, 0.279825, 0.029331], "network.8.weight": [[-0.387275, -0.026725, -0.431241, -0.105255, -0.425271, 0.424872, 0.256112, -0.580568]], "network.8.bias": [0.302364]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6968017816543579, "train_acc": 0.43, "val_loss": 0.6834458708763123, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6922330856323242, "train_acc": 0.54, "val_loss": 0.6609860062599182, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.659444659948349, "train_acc": 0.54, "val_loss": 0.633334219455719, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6212926208972931, "train_acc": 0.55, "val_loss": 0.5462531447410583, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5100930333137512, "train_acc": 0.85, "val_loss": 0.45751410722732544, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3988421708345413, "train_acc": 0.86, "val_loss": 0.4038523733615875, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3635331243276596, "train_acc": 0.87, "val_loss": 0.36495184898376465, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.36098214983940125, "train_acc": 0.895, "val_loss": 0.3784596920013428, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2969760075211525, "train_acc": 0.88, "val_loss": 0.48682701587677, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.299963116645813, "train_acc": 0.88, "val_loss": 0.4371727406978607, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6834458708763123, "final_val_loss": 0.633334219455719, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5462531447410583, "final_val_loss": 0.4371727406978607, "initial_val_acc": 0.74, "final_val_acc": 0.8, "best_val_acc": 0.86, "best_epoch": 6}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
92
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1428, "learning_rate": 0.04296735297046316, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.034984,
-0.250291,
-0.082952,
-0.302273,
0.536164
],
[
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-0.253692,
0.364797,
0.444535
],
[
-0.620573,
0.34595,
0.160482,
0.17136,
-0.265728
],
[
-0.446477,
-0.394796,
-0.006263,
0.050251,
0.015751
],
[
-0.304973,
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0.012693,
-0.471415,
0.372951
]
],
"network.0.bias": [
-0.101155,
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0.359244,
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],
"network.2.weight": [
[
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-0.328515,
0.090623,
-0.118281
],
[
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0.549399,
-0.704223,
0.364377
],
[
0.647073,
0.641426,
0.315694,
-0.680354,
0.251429
],
[
0.057026,
0.253233,
0.46439,
0.198702,
0.410769
],
[
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]
],
"network.2.bias": [
0.812087,
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],
"network.4.weight": [
[
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],
[
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0.253602,
0.450163,
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],
[
0.012623,
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0.042509,
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],
[
0.825922,
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0.238774
],
[
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]
],
"network.4.bias": [
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0.51359,
0.126249,
0.20202,
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],
"network.6.weight": [
[
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],
[
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],
[
-0.425397,
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0.526161,
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],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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],
[
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[
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[
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[
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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],
[
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],
[
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[
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]
],
"network.10.bias": [
0.02845,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.673924, 0.027236, 0.592345, -1.700292, -0.142349]
std: [1.262869, 1.317667, 1.437877, 1.328168, 1.072759]
pca: [[-0.657556, 0.216163, -0.114486, -0.036812, 0.711639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090459, 0.568463, 0.670795, -0.435324, -0.170861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677130, 0.336129, -0.307902, -0.355071, 0.455668, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.032194, 0.696579, -0.200740, 0.664171, -0.179780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316061, 0.178655, -0.633898, -0.491874, -0.473731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.166764, 19.296911, 19.333678, 23.614563, 60.653154], [17.624066, 21.442913, 22.288175, 22.862597, 24.559296], [21.395956, 23.376882, 24.360012, 33.700722, 53.311072], [20.956435, 21.627924, 21.950020, 22.177084, 153.026269], [16.367105, 16.850726, 17.481048, 17.788693, 18.628627]]
### 2
mean: [0.234345, 1.036003, 0.519984, 0.371826, 0.262636]
std: [0.653465, 0.639035, 0.844917, 0.527379, 0.507290]
pca: [[-0.490073, 0.170374, 0.058777, -0.100030, 0.846959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.417195, 0.616746, 0.055554, 0.637837, 0.188812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621323, -0.254243, 0.584736, -0.310192, 0.333443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342364, 0.438448, -0.545641, -0.622343, 0.074267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287266, 0.577686, 0.594827, -0.315639, -0.360985, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.767944, 10.820015, 12.398167, 12.625507, 21.091022], [8.827870, 9.775242, 11.092863, 12.521099, 93.240240], [12.609434, 13.445778, 14.716502, 16.137517, 46.798523], [7.739854, 8.206703, 9.038691, 11.606264, 33.464323], [8.081615, 8.300965, 8.686458, 9.160453, 23.637233]]
### 4
mean: [-0.406484, 1.147082, 1.000436, -0.188671, -0.124973]
std: [0.496608, 0.793443, 0.716016, 1.104411, 0.421974]
pca: [[0.300817, 0.195278, -0.059882, 0.923575, -0.121650, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480561, 0.336876, -0.006741, 0.188569, 0.787383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416008, 0.689509, 0.254973, -0.063759, -0.531449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669579, 0.426267, 0.479547, -0.239232, 0.287685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239107, -0.437326, 0.837491, 0.223950, -0.005290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.156976, 7.790362, 9.219995, 9.371322, 36.583565], [11.363819, 12.760474, 13.126782, 15.361053, 103.237405], [9.824489, 9.896808, 12.631870, 14.161110, 90.039211], [15.905126, 16.980361, 17.551616, 20.140566, 20.483964], [6.068313, 6.970154, 7.278969, 7.628193, 11.247595]]
### 6
mean: [-0.172874, -0.599759, 0.824381, 0.136520, 1.126248]
std: [0.417887, 0.244775, 0.899634, 0.492233, 0.873834]
pca: [[0.291458, 0.421415, 0.037282, 0.857467, 0.028666, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154517, 0.464634, 0.666853, -0.222074, 0.515975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.630217, -0.421439, 0.609425, -0.025882, -0.230535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.340790, 0.654767, -0.113719, -0.415324, -0.519342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.614707, -0.013943, -0.411809, -0.205594, 0.640379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.450135, 6.519294, 7.270799, 8.746361, 15.558616], [3.397859, 3.451041, 4.116117, 4.142787, 53.978287], [13.154695, 14.997426, 15.455203, 18.212639, 74.194272], [7.443402, 7.607734, 8.934008, 10.058915, 12.286796], [12.848333, 13.985891, 14.454265, 17.513765, 101.362345]]
### 8
mean: [-0.806150, -0.136531, 0.856973, 0.370858, -0.100854]
std: [0.330258, 0.722845, 0.798970, 0.501380, 0.602145]
pca: [[-0.224317, 0.964814, -0.080495, 0.082455, 0.074419, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.528777, -0.144318, 0.209319, -0.242754, 0.772543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.584641, 0.037450, -0.071916, 0.543026, 0.597280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.366418, 0.182552, 0.875283, -0.255411, -0.032511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440465, -0.116528, 0.422390, 0.757734, -0.199595, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.231514, 5.895438, 5.984762, 6.114962, 72.553463], [10.810394, 10.987361, 11.842953, 12.287769, 14.093513], [11.859547, 12.043949, 13.205328, 15.569207, 77.127559], [7.465683, 7.826799, 8.145798, 9.822001, 33.377234], [8.982506, 9.056110, 9.076836, 9.912630, 11.749211]]
### 10
mean: [0.044019, -0.161843, 0.084400, -0.418560, 0.178873]
std: [0.169886, 0.401691, 0.323149, 0.515488, 0.543579]
pca: [[0.172854, 0.669291, 0.368861, 0.597808, -0.169523, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.435867, -0.174924, -0.480936, 0.516871, 0.530064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350203, -0.217962, 0.626422, 0.141952, 0.645984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.556946, -0.587543, 0.449840, 0.117574, -0.358364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589330, 0.358801, 0.194632, -0.584376, 0.380229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.563452, 2.623516, 3.349949, 3.358235, 3.961752], [5.988023, 6.091759, 6.539666, 7.776269, 14.565833], [4.913601, 5.035828, 5.165093, 6.422104, 7.596008], [7.472032, 7.681607, 8.487537, 9.653675, 37.670431], [8.202844, 8.296057, 8.799134, 10.670985, 16.098578]]
### 12
mean: [-0.161829]
std: [0.240988]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.629622, 3.776264, 4.646696, 4.826907, 14.564568]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.034984,
-0.250291,
-0.082952,
-0.302273,
0.536164
],
[
-0.161149,
-0.188516,
-0.253692,
0.364797,
0.444535
],
[
-0.620573,
0.34595,
0.160482,
0.17136,
-0.265728
],
[
-0.446477,
-0.394796,
-0.006263,
0.050251,
0.015751
],
[
-0.304973,
0.214678,
0.012693,
-0.471415,
0.372951
]
],
"network.0.bias": [
-0.101155,
-0.229316,
0.359244,
-0.539374,
0.370418
],
"network.2.weight": [
[
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0.090623,
-0.118281
],
[
0.513153,
0.144133,
0.549399,
-0.704223,
0.364377
],
[
0.647073,
0.641426,
0.315694,
-0.680354,
0.251429
],
[
0.057026,
0.253233,
0.46439,
0.198702,
0.410769
],
[
-0.059379,
-0.540448,
-0.096489,
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0.235276
]
],
"network.2.bias": [
0.812087,
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-0.215556,
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0.450567
],
"network.4.weight": [
[
0.289923,
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],
[
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0.52132,
0.253602,
0.450163,
-0.055224
],
[
0.012623,
0.809745,
0.042509,
0.388471,
-0.103576
],
[
0.825922,
-0.154683,
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-0.506378,
0.238774
],
[
-0.223344,
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0.250577,
0.181318,
-0.740767
]
],
"network.4.bias": [
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0.51359,
0.126249,
0.20202,
-0.034868
],
"network.6.weight": [
[
-0.159283,
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0.223566,
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0.618951
],
[
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-0.135104,
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-0.177846,
-0.022277
],
[
-0.425397,
0.293725,
0.526161,
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-0.149999
],
[
-0.12296,
0.369293,
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0.508713
],
[
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0.28978,
-0.500364,
0.389949
]
],
"network.6.bias": [
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0.19566,
0.004515,
0.442286
],
"network.8.weight": [
[
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0.752479,
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],
[
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-0.688098,
-0.184622
],
[
-0.032379,
0.225145,
0.440168,
0.66598,
0.290098
],
[
0.428581,
-0.102993,
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0.027043,
0.49632
],
[
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-0.039513,
-0.373701,
-0.464025,
-0.108897
]
],
"network.8.bias": [
-0.090323,
0.482616,
0.122285,
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0.380351
],
"network.10.weight": [
[
-0.289038,
0.528289,
-0.179299,
0.204342,
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],
[
0.109739,
0.193285,
-0.20351,
-0.44834,
0.067095
],
[
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0.121406,
0.31396,
-0.382458
],
[
-0.029727,
0.322606,
-0.560578,
-0.208027,
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],
[
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0.337588,
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0.315277
]
],
"network.10.bias": [
0.02845,
0.129073,
-0.113538,
0.078974,
0.46118
],
"network.12.weight": [
[
0.123672,
0.141996,
-0.136028,
0.291125,
0.495658
]
],
"network.12.bias": [
-0.237021
]
}
## Activation Signature
### 0
mean: [-0.673924, 0.027236, 0.592345, -1.700292, -0.142349]
std: [1.262869, 1.317667, 1.437877, 1.328168, 1.072759]
pca: [[-0.657556, 0.216163, -0.114486, -0.036812, 0.711639, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.090459, 0.568463, 0.670795, -0.435324, -0.170861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.677130, 0.336129, -0.307902, -0.355071, 0.455668, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.032194, 0.696579, -0.200740, 0.664171, -0.179780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316061, 0.178655, -0.633898, -0.491874, -0.473731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.166764, 19.296911, 19.333678, 23.614563, 60.653154], [17.624066, 21.442913, 22.288175, 22.862597, 24.559296], [21.395956, 23.376882, 24.360012, 33.700722, 53.311072], [20.956435, 21.627924, 21.950020, 22.177084, 153.026269], [16.367105, 16.850726, 17.481048, 17.788693, 18.628627]]
### 2
mean: [0.234345, 1.036003, 0.519984, 0.371826, 0.262636]
std: [0.653465, 0.639035, 0.844917, 0.527379, 0.507290]
pca: [[-0.490073, 0.170374, 0.058777, -0.100030, 0.846959, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.417195, 0.616746, 0.055554, 0.637837, 0.188812, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.621323, -0.254243, 0.584736, -0.310192, 0.333443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342364, 0.438448, -0.545641, -0.622343, 0.074267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287266, 0.577686, 0.594827, -0.315639, -0.360985, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.767944, 10.820015, 12.398167, 12.625507, 21.091022], [8.827870, 9.775242, 11.092863, 12.521099, 93.240240], [12.609434, 13.445778, 14.716502, 16.137517, 46.798523], [7.739854, 8.206703, 9.038691, 11.606264, 33.464323], [8.081615, 8.300965, 8.686458, 9.160453, 23.637233]]
### 4
mean: [-0.406484, 1.147082, 1.000436, -0.188671, -0.124973]
std: [0.496608, 0.793443, 0.716016, 1.104411, 0.421974]
pca: [[0.300817, 0.195278, -0.059882, 0.923575, -0.121650, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.480561, 0.336876, -0.006741, 0.188569, 0.787383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416008, 0.689509, 0.254973, -0.063759, -0.531449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.669579, 0.426267, 0.479547, -0.239232, 0.287685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.239107, -0.437326, 0.837491, 0.223950, -0.005290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.156976, 7.790362, 9.219995, 9.371322, 36.583565], [11.363819, 12.760474, 13.126782, 15.361053, 103.237405], [9.824489, 9.896808, 12.631870, 14.161110, 90.039211], [15.905126, 16.980361, 17.551616, 20.140566, 20.483964], [6.068313, 6.970154, 7.278969, 7.628193, 11.247595]]
### 6
mean: [-0.172874, -0.599759, 0.824381, 0.136520, 1.126248]
std: [0.417887, 0.244775, 0.899634, 0.492233, 0.873834]
pca: [[0.291458, 0.421415, 0.037282, 0.857467, 0.028666, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154517, 0.464634, 0.666853, -0.222074, 0.515975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.630217, -0.421439, 0.609425, -0.025882, -0.230535, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.340790, 0.654767, -0.113719, -0.415324, -0.519342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.614707, -0.013943, -0.411809, -0.205594, 0.640379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.450135, 6.519294, 7.270799, 8.746361, 15.558616], [3.397859, 3.451041, 4.116117, 4.142787, 53.978287], [13.154695, 14.997426, 15.455203, 18.212639, 74.194272], [7.443402, 7.607734, 8.934008, 10.058915, 12.286796], [12.848333, 13.985891, 14.454265, 17.513765, 101.362345]]
### 8
mean: [-0.806150, -0.136531, 0.856973, 0.370858, -0.100854]
std: [0.330258, 0.722845, 0.798970, 0.501380, 0.602145]
pca: [[-0.224317, 0.964814, -0.080495, 0.082455, 0.074419, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.528777, -0.144318, 0.209319, -0.242754, 0.772543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.584641, 0.037450, -0.071916, 0.543026, 0.597280, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.366418, 0.182552, 0.875283, -0.255411, -0.032511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.440465, -0.116528, 0.422390, 0.757734, -0.199595, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.231514, 5.895438, 5.984762, 6.114962, 72.553463], [10.810394, 10.987361, 11.842953, 12.287769, 14.093513], [11.859547, 12.043949, 13.205328, 15.569207, 77.127559], [7.465683, 7.826799, 8.145798, 9.822001, 33.377234], [8.982506, 9.056110, 9.076836, 9.912630, 11.749211]]
### 10
mean: [0.044019, -0.161843, 0.084400, -0.418560, 0.178873]
std: [0.169886, 0.401691, 0.323149, 0.515488, 0.543579]
pca: [[0.172854, 0.669291, 0.368861, 0.597808, -0.169523, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.435867, -0.174924, -0.480936, 0.516871, 0.530064, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350203, -0.217962, 0.626422, 0.141952, 0.645984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.556946, -0.587543, 0.449840, 0.117574, -0.358364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589330, 0.358801, 0.194632, -0.584376, 0.380229, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.563452, 2.623516, 3.349949, 3.358235, 3.961752], [5.988023, 6.091759, 6.539666, 7.776269, 14.565833], [4.913601, 5.035828, 5.165093, 6.422104, 7.596008], [7.472032, 7.681607, 8.487537, 9.653675, 37.670431], [8.202844, 8.296057, 8.799134, 10.670985, 16.098578]]
### 12
mean: [-0.161829]
std: [0.240988]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.629622, 3.776264, 4.646696, 4.826907, 14.564568]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.034984, -0.250291, -0.082952, -0.302273, 0.536164], [-0.161149, -0.188516, -0.253692, 0.364797, 0.444535], [-0.620573, 0.34595, 0.160482, 0.17136, -0.265728], [-0.446477, -0.394796, -0.006263, 0.050251, 0.015751], [-0.304973, 0.214678, 0.012693, -0.471415, 0.372951]], "network.0.bias": [-0.101155, -0.229316, 0.359244, -0.539374, 0.370418], "network.2.weight": [[-0.3994, -0.537538, -0.328515, 0.090623, -0.118281], [0.513153, 0.144133, 0.549399, -0.704223, 0.364377], [0.647073, 0.641426, 0.315694, -0.680354, 0.251429], [0.057026, 0.253233, 0.46439, 0.198702, 0.410769], [-0.059379, -0.540448, -0.096489, -0.583521, 0.235276]], "network.2.bias": [0.812087, 0.298866, -0.215556, -0.198158, 0.450567], "network.4.weight": [[0.289923, 0.009438, -0.330342, -0.409586, 0.175545], [-0.380092, 0.52132, 0.253602, 0.450163, -0.055224], [0.012623, 0.809745, 0.042509, 0.388471, -0.103576], [0.825922, -0.154683, -0.759273, -0.506378, 0.238774], [-0.223344, -0.029457, 0.250577, 0.181318, -0.740767]], "network.4.bias": [-0.244307, 0.51359, 0.126249, 0.20202, -0.034868], "network.6.weight": [[-0.159283, -0.082161, 0.223566, -0.55754, 0.618951], [-0.254042, -0.135104, -0.263977, -0.177846, -0.022277], [-0.425397, 0.293725, 0.526161, -0.797886, -0.149999], [-0.12296, 0.369293, -0.160122, -0.557559, 0.508713], [-0.389474, 0.482726, 0.28978, -0.500364, 0.389949]], "network.6.bias": [-0.179877, -0.200714, 0.19566, 0.004515, 0.442286], "network.8.weight": [[0.715616, 0.670851, -0.240164, 0.752479, -0.511616], [-0.178846, -0.098955, -0.408737, -0.688098, -0.184622], [-0.032379, 0.225145, 0.440168, 0.66598, 0.290098], [0.428581, -0.102993, -0.018856, 0.027043, 0.49632], [-0.428228, -0.039513, -0.373701, -0.464025, -0.108897]], "network.8.bias": [-0.090323, 0.482616, 0.122285, -0.1495, 0.380351], "network.10.weight": [[-0.289038, 0.528289, -0.179299, 0.204342, -0.121779], [0.109739, 0.193285, -0.20351, -0.44834, 0.067095], [-0.287965, -0.083255, 0.121406, 0.31396, -0.382458], [-0.029727, 0.322606, -0.560578, -0.208027, -0.40714], [-0.218721, 0.337588, -0.39818, -0.204933, 0.315277]], "network.10.bias": [0.02845, 0.129073, -0.113538, 0.078974, 0.46118], "network.12.weight": [[0.123672, 0.141996, -0.136028, 0.291125, 0.495658]], "network.12.bias": [-0.237021]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6888768672943115, "train_acc": 0.55, "val_loss": 0.6813093423843384, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6898618042469025, "train_acc": 0.55, "val_loss": 0.679975152015686, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6882261633872986, "train_acc": 0.55, "val_loss": 0.664959728717804, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6758002638816833, "train_acc": 0.55, "val_loss": 0.6351566314697266, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6545121073722839, "train_acc": 0.47, "val_loss": 0.5616520047187805, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5374633371829987, "train_acc": 0.93, "val_loss": 0.4163399636745453, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3775242269039154, "train_acc": 0.925, "val_loss": 0.23556920886039734, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.22355586290359497, "train_acc": 0.93, "val_loss": 0.19043277204036713, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2055717408657074, "train_acc": 0.935, "val_loss": 0.2148452252149582, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.26066458225250244, "train_acc": 0.935, "val_loss": 0.2275308221578598, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2675490155816078, "train_acc": 0.935, "val_loss": 0.21163320541381836, "val_acc": 0.94}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6813093423843384, "final_val_loss": 0.6351566314697266, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5616520047187805, "final_val_loss": 0.21163320541381836, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.31999999999999995, "first_improvement_epoch": 3}}
|
93
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.64, "improved_accuracy": 0.9, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3126, "learning_rate": 0.08469175679902498, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.588325,
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0.772206,
0.917987
],
[
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0.229342,
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],
[
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-0.6966,
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-0.320944,
-0.301293
],
[
-1.050407,
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"network.4.weight": [
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}
## Activation Signature
### 0
mean: [3.406147, -2.099603, -3.583931, -0.742154, -3.480810, -4.359046, -4.254048]
std: [2.832427, 1.737328, 1.995215, 2.175013, 2.612045, 2.812170, 2.412961]
pca: [[-0.473935, -0.257274, -0.373239, 0.495944, -0.110461, 0.536002, -0.156297, 0.000000, 0.000000, 0.000000], [0.249266, 0.108513, 0.559994, -0.021755, 0.108032, 0.755268, 0.172989, 0.000000, 0.000000, 0.000000], [0.319077, -0.334756, -0.263157, 0.023524, -0.440284, 0.036212, 0.721916, 0.000000, 0.000000, 0.000000], [0.181094, 0.845220, -0.282047, 0.231016, -0.335749, 0.084304, -0.007446, 0.000000, 0.000000, 0.000000], [0.431719, -0.220725, 0.337954, 0.681496, -0.192951, -0.245972, -0.297519, 0.000000, 0.000000, 0.000000], [0.476001, -0.026209, -0.465168, 0.171395, 0.719981, 0.085010, 0.037150, 0.000000, 0.000000, 0.000000], [0.407050, -0.214874, -0.260201, -0.453686, -0.337562, 0.257149, -0.578386, 0.000000, 0.000000, 0.000000]]
fourier: [[44.309786, 52.088222, 53.200312, 55.057115, 306.553202], [29.097596, 29.182238, 29.331915, 31.679362, 188.964313], [30.014107, 30.980514, 38.083085, 40.523156, 322.553767], [35.757504, 35.779001, 38.284375, 52.201894, 66.793898], [41.157485, 42.372599, 46.494582, 49.752034, 313.272905], [40.939053, 43.443913, 53.613362, 57.864146, 392.314151], [37.809451, 38.933757, 42.900977, 49.487561, 382.864270]]
### 2
mean: [1.808389, -1.557379, 0.380544, -3.884392, 3.293940, -1.796888, 1.312693]
std: [0.713472, 0.748264, 0.979797, 2.640237, 2.559879, 1.728043, 1.264994]
pca: [[-0.143269, -0.419273, -0.013061, -0.276516, 0.681930, -0.344767, -0.378364, 0.000000, 0.000000, 0.000000], [0.152332, 0.398562, -0.486438, -0.455698, 0.117267, 0.472939, -0.369103, 0.000000, 0.000000, 0.000000], [-0.214170, 0.319567, 0.248632, -0.432651, 0.386184, 0.066019, 0.670453, 0.000000, 0.000000, 0.000000], [0.595411, 0.299586, 0.509040, 0.298466, 0.396405, 0.121092, -0.189022, 0.000000, 0.000000, 0.000000], [-0.579545, -0.118716, 0.159272, 0.371455, 0.213069, 0.650499, -0.134688, 0.000000, 0.000000, 0.000000], [0.384580, -0.393462, -0.503798, 0.268691, 0.315102, 0.234036, 0.466065, 0.000000, 0.000000, 0.000000], [-0.268537, 0.551885, -0.403840, 0.478995, 0.265060, -0.400650, -0.003197, 0.000000, 0.000000, 0.000000]]
fourier: [[11.424403, 11.472904, 12.170647, 14.085690, 162.754997], [12.071927, 12.099175, 12.149047, 15.287166, 140.164130], [15.386247, 16.082675, 18.718374, 19.237954, 34.248953], [41.129112, 47.794424, 50.182485, 50.838712, 349.595240], [39.817410, 47.157047, 48.424038, 48.958203, 296.454608], [27.012170, 29.631619, 32.912327, 33.722805, 161.719911], [19.355922, 20.887736, 22.385704, 27.042612, 118.142343]]
### 4
mean: [0.948073, -1.320433, -2.923195, -2.986533, 2.598613, -0.684089, -3.315769]
std: [1.322456, 0.892685, 2.216423, 1.652558, 2.131160, 0.477414, 1.951796]
pca: [[0.290420, 0.624930, 0.112175, -0.154755, 0.160735, 0.659871, 0.165291, 0.000000, 0.000000, 0.000000], [0.200102, -0.326629, -0.418994, -0.503851, 0.644093, -0.006271, 0.094641, 0.000000, 0.000000, 0.000000], [0.518945, -0.172182, 0.024922, -0.505819, -0.579482, 0.035104, -0.327938, 0.000000, 0.000000, 0.000000], [0.385282, -0.238485, -0.227852, 0.288275, -0.275119, 0.038466, 0.763213, 0.000000, 0.000000, 0.000000], [-0.497717, -0.249540, -0.469104, -0.027915, -0.279913, 0.618885, -0.088317, 0.000000, 0.000000, 0.000000], [0.033514, -0.588701, 0.677014, 0.068365, 0.185461, 0.392919, 0.022474, 0.000000, 0.000000, 0.000000], [0.457191, -0.086107, -0.284460, 0.614635, 0.187274, 0.156256, -0.515151, 0.000000, 0.000000, 0.000000]]
fourier: [[20.076730, 20.310895, 25.627447, 28.036286, 85.326541], [14.153461, 14.709821, 14.902691, 17.862030, 118.838963], [34.289358, 40.652546, 42.145069, 42.635973, 263.087595], [25.596175, 29.123628, 31.063797, 32.399938, 268.788010], [32.303440, 38.442800, 39.604785, 43.590416, 233.875152], [7.164360, 7.658127, 7.683288, 7.820493, 61.567983], [30.142492, 34.902593, 37.366155, 37.787483, 298.419201]]
### 6
mean: [-0.145853, -0.437973, 1.433413, 0.040159, 0.690901, 0.436635, -3.035123]
std: [0.999106, 0.681051, 0.297070, 1.223987, 0.970577, 1.420998, 1.362391]
pca: [[0.361207, -0.049490, 0.196242, -0.154356, 0.625331, -0.634692, -0.104268, 0.000000, 0.000000, 0.000000], [0.245840, 0.086831, -0.123792, 0.255910, 0.645146, 0.648620, 0.119529, 0.000000, 0.000000, 0.000000], [-0.086541, -0.363167, 0.759094, -0.194865, 0.024824, 0.344238, -0.356802, 0.000000, 0.000000, 0.000000], [0.442094, -0.130548, 0.077177, -0.572556, -0.175266, 0.148166, 0.633295, 0.000000, 0.000000, 0.000000], [0.347671, -0.277469, -0.531143, -0.345940, -0.094323, 0.146403, -0.608291, 0.000000, 0.000000, 0.000000], [0.508005, -0.461667, 0.091713, 0.650904, -0.286197, -0.098531, 0.071347, 0.000000, 0.000000, 0.000000], [0.476668, 0.742262, 0.271036, 0.039256, -0.265722, 0.069735, -0.267137, 0.000000, 0.000000, 0.000000]]
fourier: [[14.783398, 16.123765, 16.820053, 17.372894, 20.344211], [10.355791, 11.712714, 12.208245, 14.110390, 39.417608], [4.353216, 5.011683, 5.471024, 5.738797, 129.007200], [18.175820, 20.010665, 20.408217, 21.067187, 24.742557], [15.346943, 16.298007, 16.320199, 19.370974, 62.181055], [22.383056, 23.509684, 24.551841, 28.440328, 39.297155], [20.440274, 24.947491, 25.003340, 28.179008, 273.161070]]
### 8
mean: [-0.301406, 0.100740, -0.673498, 1.657473, -0.017374, 0.383116, -0.427793]
std: [1.937418, 2.284438, 1.614528, 1.031981, 0.123175, 0.659293, 1.562045]
pca: [[0.492546, -0.069714, -0.341370, -0.517458, -0.454283, -0.005290, -0.402295, 0.000000, 0.000000, 0.000000], [0.580175, 0.408137, 0.691567, -0.068324, 0.058278, 0.070920, 0.073914, 0.000000, 0.000000, 0.000000], [0.410345, -0.154774, -0.143975, 0.753471, -0.414757, -0.154592, 0.152617, 0.000000, 0.000000, 0.000000], [-0.256946, 0.849505, -0.219432, 0.077257, -0.272690, -0.282543, -0.063329, 0.000000, 0.000000, 0.000000], [0.030054, -0.129686, 0.004865, -0.381383, -0.148667, -0.543373, 0.720726, 0.000000, 0.000000, 0.000000], [-0.167553, 0.081110, 0.002727, -0.091748, -0.480220, 0.736334, 0.429096, 0.000000, 0.000000, 0.000000], [0.396755, 0.244035, -0.579907, 0.003198, 0.539569, 0.231887, 0.319099, 0.000000, 0.000000, 0.000000]]
fourier: [[27.205029, 28.098004, 28.445065, 33.625945, 39.569253], [30.624477, 33.827149, 35.207376, 40.071384, 45.740416], [23.492386, 23.576154, 27.446974, 32.669656, 60.614816], [13.926531, 15.903090, 16.036720, 21.713889, 149.172521], [1.585009, 1.651693, 1.915174, 2.121483, 2.706233], [9.515376, 9.640737, 11.239377, 13.483560, 34.480453], [22.992845, 23.636334, 27.756067, 31.384080, 38.501326]]
### 10
mean: [1.606779, 0.860115, -0.063724, 1.721569, 1.105530, 0.733933, -0.472178]
std: [1.375264, 1.181001, 2.897212, 0.786666, 1.663302, 0.831128, 1.850639]
pca: [[-0.304246, 0.504795, -0.238476, 0.174968, -0.274696, 0.066978, 0.696554, 0.000000, 0.000000, 0.000000], [-0.274600, 0.058184, 0.115679, -0.632683, 0.648112, 0.082346, 0.284096, 0.000000, 0.000000, 0.000000], [0.671015, 0.335851, -0.220565, -0.047279, 0.172915, 0.596783, -0.003133, 0.000000, 0.000000, 0.000000], [-0.106900, 0.755348, -0.004155, -0.195342, -0.031312, -0.315603, -0.528451, 0.000000, 0.000000, 0.000000], [-0.386174, 0.129967, 0.601189, 0.238598, -0.043057, 0.613625, -0.192955, 0.000000, 0.000000, 0.000000], [-0.193119, 0.049883, -0.313077, 0.640660, 0.657384, -0.067006, -0.122925, 0.000000, 0.000000, 0.000000], [0.428854, 0.197661, 0.649335, 0.247650, 0.199010, -0.389811, 0.320140, 0.000000, 0.000000, 0.000000]]
fourier: [[22.104391, 24.806170, 25.207036, 26.512254, 144.610047], [19.201156, 19.629068, 22.316943, 23.181542, 77.410367], [42.539996, 44.872639, 46.232158, 55.881501, 57.677201], [11.721495, 12.924189, 13.320291, 14.741443, 154.941187], [27.068565, 28.049302, 30.854181, 32.395573, 99.497718], [13.653735, 13.770753, 15.403385, 16.365547, 66.053986], [28.646144, 29.956079, 36.014465, 36.763832, 42.495984]]
### 12
mean: [-1.735528]
std: [2.673107]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.034893, 44.758566, 50.187501, 53.213775, 156.197502]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
"network.0.bias": [
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"network.4.weight": [
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [3.406147, -2.099603, -3.583931, -0.742154, -3.480810, -4.359046, -4.254048]
std: [2.832427, 1.737328, 1.995215, 2.175013, 2.612045, 2.812170, 2.412961]
pca: [[-0.473935, -0.257274, -0.373239, 0.495944, -0.110461, 0.536002, -0.156297, 0.000000, 0.000000, 0.000000], [0.249266, 0.108513, 0.559994, -0.021755, 0.108032, 0.755268, 0.172989, 0.000000, 0.000000, 0.000000], [0.319077, -0.334756, -0.263157, 0.023524, -0.440284, 0.036212, 0.721916, 0.000000, 0.000000, 0.000000], [0.181094, 0.845220, -0.282047, 0.231016, -0.335749, 0.084304, -0.007446, 0.000000, 0.000000, 0.000000], [0.431719, -0.220725, 0.337954, 0.681496, -0.192951, -0.245972, -0.297519, 0.000000, 0.000000, 0.000000], [0.476001, -0.026209, -0.465168, 0.171395, 0.719981, 0.085010, 0.037150, 0.000000, 0.000000, 0.000000], [0.407050, -0.214874, -0.260201, -0.453686, -0.337562, 0.257149, -0.578386, 0.000000, 0.000000, 0.000000]]
fourier: [[44.309786, 52.088222, 53.200312, 55.057115, 306.553202], [29.097596, 29.182238, 29.331915, 31.679362, 188.964313], [30.014107, 30.980514, 38.083085, 40.523156, 322.553767], [35.757504, 35.779001, 38.284375, 52.201894, 66.793898], [41.157485, 42.372599, 46.494582, 49.752034, 313.272905], [40.939053, 43.443913, 53.613362, 57.864146, 392.314151], [37.809451, 38.933757, 42.900977, 49.487561, 382.864270]]
### 2
mean: [1.808389, -1.557379, 0.380544, -3.884392, 3.293940, -1.796888, 1.312693]
std: [0.713472, 0.748264, 0.979797, 2.640237, 2.559879, 1.728043, 1.264994]
pca: [[-0.143269, -0.419273, -0.013061, -0.276516, 0.681930, -0.344767, -0.378364, 0.000000, 0.000000, 0.000000], [0.152332, 0.398562, -0.486438, -0.455698, 0.117267, 0.472939, -0.369103, 0.000000, 0.000000, 0.000000], [-0.214170, 0.319567, 0.248632, -0.432651, 0.386184, 0.066019, 0.670453, 0.000000, 0.000000, 0.000000], [0.595411, 0.299586, 0.509040, 0.298466, 0.396405, 0.121092, -0.189022, 0.000000, 0.000000, 0.000000], [-0.579545, -0.118716, 0.159272, 0.371455, 0.213069, 0.650499, -0.134688, 0.000000, 0.000000, 0.000000], [0.384580, -0.393462, -0.503798, 0.268691, 0.315102, 0.234036, 0.466065, 0.000000, 0.000000, 0.000000], [-0.268537, 0.551885, -0.403840, 0.478995, 0.265060, -0.400650, -0.003197, 0.000000, 0.000000, 0.000000]]
fourier: [[11.424403, 11.472904, 12.170647, 14.085690, 162.754997], [12.071927, 12.099175, 12.149047, 15.287166, 140.164130], [15.386247, 16.082675, 18.718374, 19.237954, 34.248953], [41.129112, 47.794424, 50.182485, 50.838712, 349.595240], [39.817410, 47.157047, 48.424038, 48.958203, 296.454608], [27.012170, 29.631619, 32.912327, 33.722805, 161.719911], [19.355922, 20.887736, 22.385704, 27.042612, 118.142343]]
### 4
mean: [0.948073, -1.320433, -2.923195, -2.986533, 2.598613, -0.684089, -3.315769]
std: [1.322456, 0.892685, 2.216423, 1.652558, 2.131160, 0.477414, 1.951796]
pca: [[0.290420, 0.624930, 0.112175, -0.154755, 0.160735, 0.659871, 0.165291, 0.000000, 0.000000, 0.000000], [0.200102, -0.326629, -0.418994, -0.503851, 0.644093, -0.006271, 0.094641, 0.000000, 0.000000, 0.000000], [0.518945, -0.172182, 0.024922, -0.505819, -0.579482, 0.035104, -0.327938, 0.000000, 0.000000, 0.000000], [0.385282, -0.238485, -0.227852, 0.288275, -0.275119, 0.038466, 0.763213, 0.000000, 0.000000, 0.000000], [-0.497717, -0.249540, -0.469104, -0.027915, -0.279913, 0.618885, -0.088317, 0.000000, 0.000000, 0.000000], [0.033514, -0.588701, 0.677014, 0.068365, 0.185461, 0.392919, 0.022474, 0.000000, 0.000000, 0.000000], [0.457191, -0.086107, -0.284460, 0.614635, 0.187274, 0.156256, -0.515151, 0.000000, 0.000000, 0.000000]]
fourier: [[20.076730, 20.310895, 25.627447, 28.036286, 85.326541], [14.153461, 14.709821, 14.902691, 17.862030, 118.838963], [34.289358, 40.652546, 42.145069, 42.635973, 263.087595], [25.596175, 29.123628, 31.063797, 32.399938, 268.788010], [32.303440, 38.442800, 39.604785, 43.590416, 233.875152], [7.164360, 7.658127, 7.683288, 7.820493, 61.567983], [30.142492, 34.902593, 37.366155, 37.787483, 298.419201]]
### 6
mean: [-0.145853, -0.437973, 1.433413, 0.040159, 0.690901, 0.436635, -3.035123]
std: [0.999106, 0.681051, 0.297070, 1.223987, 0.970577, 1.420998, 1.362391]
pca: [[0.361207, -0.049490, 0.196242, -0.154356, 0.625331, -0.634692, -0.104268, 0.000000, 0.000000, 0.000000], [0.245840, 0.086831, -0.123792, 0.255910, 0.645146, 0.648620, 0.119529, 0.000000, 0.000000, 0.000000], [-0.086541, -0.363167, 0.759094, -0.194865, 0.024824, 0.344238, -0.356802, 0.000000, 0.000000, 0.000000], [0.442094, -0.130548, 0.077177, -0.572556, -0.175266, 0.148166, 0.633295, 0.000000, 0.000000, 0.000000], [0.347671, -0.277469, -0.531143, -0.345940, -0.094323, 0.146403, -0.608291, 0.000000, 0.000000, 0.000000], [0.508005, -0.461667, 0.091713, 0.650904, -0.286197, -0.098531, 0.071347, 0.000000, 0.000000, 0.000000], [0.476668, 0.742262, 0.271036, 0.039256, -0.265722, 0.069735, -0.267137, 0.000000, 0.000000, 0.000000]]
fourier: [[14.783398, 16.123765, 16.820053, 17.372894, 20.344211], [10.355791, 11.712714, 12.208245, 14.110390, 39.417608], [4.353216, 5.011683, 5.471024, 5.738797, 129.007200], [18.175820, 20.010665, 20.408217, 21.067187, 24.742557], [15.346943, 16.298007, 16.320199, 19.370974, 62.181055], [22.383056, 23.509684, 24.551841, 28.440328, 39.297155], [20.440274, 24.947491, 25.003340, 28.179008, 273.161070]]
### 8
mean: [-0.301406, 0.100740, -0.673498, 1.657473, -0.017374, 0.383116, -0.427793]
std: [1.937418, 2.284438, 1.614528, 1.031981, 0.123175, 0.659293, 1.562045]
pca: [[0.492546, -0.069714, -0.341370, -0.517458, -0.454283, -0.005290, -0.402295, 0.000000, 0.000000, 0.000000], [0.580175, 0.408137, 0.691567, -0.068324, 0.058278, 0.070920, 0.073914, 0.000000, 0.000000, 0.000000], [0.410345, -0.154774, -0.143975, 0.753471, -0.414757, -0.154592, 0.152617, 0.000000, 0.000000, 0.000000], [-0.256946, 0.849505, -0.219432, 0.077257, -0.272690, -0.282543, -0.063329, 0.000000, 0.000000, 0.000000], [0.030054, -0.129686, 0.004865, -0.381383, -0.148667, -0.543373, 0.720726, 0.000000, 0.000000, 0.000000], [-0.167553, 0.081110, 0.002727, -0.091748, -0.480220, 0.736334, 0.429096, 0.000000, 0.000000, 0.000000], [0.396755, 0.244035, -0.579907, 0.003198, 0.539569, 0.231887, 0.319099, 0.000000, 0.000000, 0.000000]]
fourier: [[27.205029, 28.098004, 28.445065, 33.625945, 39.569253], [30.624477, 33.827149, 35.207376, 40.071384, 45.740416], [23.492386, 23.576154, 27.446974, 32.669656, 60.614816], [13.926531, 15.903090, 16.036720, 21.713889, 149.172521], [1.585009, 1.651693, 1.915174, 2.121483, 2.706233], [9.515376, 9.640737, 11.239377, 13.483560, 34.480453], [22.992845, 23.636334, 27.756067, 31.384080, 38.501326]]
### 10
mean: [1.606779, 0.860115, -0.063724, 1.721569, 1.105530, 0.733933, -0.472178]
std: [1.375264, 1.181001, 2.897212, 0.786666, 1.663302, 0.831128, 1.850639]
pca: [[-0.304246, 0.504795, -0.238476, 0.174968, -0.274696, 0.066978, 0.696554, 0.000000, 0.000000, 0.000000], [-0.274600, 0.058184, 0.115679, -0.632683, 0.648112, 0.082346, 0.284096, 0.000000, 0.000000, 0.000000], [0.671015, 0.335851, -0.220565, -0.047279, 0.172915, 0.596783, -0.003133, 0.000000, 0.000000, 0.000000], [-0.106900, 0.755348, -0.004155, -0.195342, -0.031312, -0.315603, -0.528451, 0.000000, 0.000000, 0.000000], [-0.386174, 0.129967, 0.601189, 0.238598, -0.043057, 0.613625, -0.192955, 0.000000, 0.000000, 0.000000], [-0.193119, 0.049883, -0.313077, 0.640660, 0.657384, -0.067006, -0.122925, 0.000000, 0.000000, 0.000000], [0.428854, 0.197661, 0.649335, 0.247650, 0.199010, -0.389811, 0.320140, 0.000000, 0.000000, 0.000000]]
fourier: [[22.104391, 24.806170, 25.207036, 26.512254, 144.610047], [19.201156, 19.629068, 22.316943, 23.181542, 77.410367], [42.539996, 44.872639, 46.232158, 55.881501, 57.677201], [11.721495, 12.924189, 13.320291, 14.741443, 154.941187], [27.068565, 28.049302, 30.854181, 32.395573, 99.497718], [13.653735, 13.770753, 15.403385, 16.365547, 66.053986], [28.646144, 29.956079, 36.014465, 36.763832, 42.495984]]
### 12
mean: [-1.735528]
std: [2.673107]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.034893, 44.758566, 50.187501, 53.213775, 156.197502]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.588325, -0.073882, -0.001812, 0.772206, 0.917987], [-0.167036, 0.079164, 0.229342, -0.514749, -0.656645], [-0.115515, -0.6966, -0.221063, -0.320944, -0.301293], [-1.050407, 0.319216, 0.27198, 0.078484, -0.381038], [-0.173311, -0.668942, 0.3219, -0.609503, -0.773425], [-0.735537, -0.605596, -0.111483, -0.53333, -0.353399], [-0.29769, -0.524732, -0.383085, -0.484954, -0.440474]], "network.0.bias": [0.024287, -0.601348, -0.6492, -0.283157, -0.457649, -0.527748, -0.543979], "network.2.weight": [[0.258689, -0.157655, 0.439997, 0.502593, 0.185447, -0.905265, -0.70164], [-0.256396, -0.041302, -0.108622, -0.499379, 0.347026, -0.288573, 0.366705], [0.318043, -0.189407, 0.313454, -0.324088, -0.294306, -0.129122, -0.412462], [-0.946676, 0.266793, -0.139604, -0.327477, -0.454879, 0.764014, -0.032244], [0.896123, -0.0749, 0.596147, 0.153061, -0.296665, -0.045373, 0.143397], [-0.572986, 0.178315, -0.107112, 0.385645, 0.582416, -0.518646, 0.454751], [0.360139, 0.111951, 0.824169, -0.702274, -0.028046, 0.69612, 0.619672]], "network.2.bias": [0.71431, -0.514752, -0.59053, -0.535516, 0.226261, 0.001814, 0.415422], "network.4.weight": [[0.670037, -0.387663, -0.8078, -0.900729, -0.183667, 0.640513, -0.427719], [0.133069, -0.539491, 0.316548, 0.332127, -0.625672, -0.07195, 0.36947], [-0.327787, -0.257201, 0.378843, 0.408733, -0.649986, 0.129276, -0.510731], [-0.573377, -0.179782, 0.878608, 0.238922, -0.411668, 0.130047, -0.729846], [-0.426014, 0.032919, -0.086249, 0.019581, 0.687159, 0.089048, 0.582963], [0.053813, -0.75883, 0.531328, -0.565458, -0.483944, -1.366413, 0.572529], [-0.354678, 0.024409, 0.889061, -0.21728, -0.506624, 0.24123, -0.897223]], "network.4.bias": [1.247125, -0.168987, 0.229417, -0.139368, 0.398161, -0.293951, -0.325472], "network.6.weight": [[0.496062, -0.158056, -0.139148, -0.26363, -0.242766, 0.68545, 0.088966], [0.220218, 0.368227, -0.070355, -0.117343, -0.233468, 0.349381, 0.475605], [0.216422, -0.24817, -0.632811, -0.089625, 0.234826, 0.153397, -0.493694], [0.683406, -0.319017, -0.031846, -0.238493, -0.269954, 0.369808, -0.137133], [0.717298, -0.248368, 0.366971, 0.120179, -0.159781, -0.069711, 0.091198], [1.051912, 0.254405, 0.120016, 0.039336, -0.210583, 0.67055, -0.066155], [-0.116155, 0.381748, -0.001165, -0.261669, -0.654619, 0.956412, -0.103697]], "network.6.bias": [-0.008466, 0.007249, 0.544092, -0.015885, 0.309295, -0.062671, -1.097728], "network.8.weight": [[-0.716038, -0.131761, 0.283886, -0.294457, -0.519289, -0.992657, -0.154745], [-0.778489, -0.808139, 0.854671, -0.630338, -0.529795, -0.8626, 0.158213], [-1.068174, -0.49046, 0.062581, -0.171955, -0.859598, -0.285496, -0.05446], [0.303884, 0.067034, 0.496679, 0.491004, 0.177319, 0.480232, -0.729895], [0.131755, -0.128798, -0.034193, -0.0085, 0.127996, -0.26456, -0.002995], [-0.026082, 0.413022, -0.032962, 0.263449, 0.250503, 0.2275, -0.349977], [-0.284642, -0.146632, 0.359483, -0.438295, -0.705714, -0.530232, 0.03424]], "network.8.bias": [0.74174, 0.453415, 0.398706, 0.202733, 0.105696, -0.040325, 0.269859], "network.10.weight": [[0.428416, 0.763931, 0.609097, 0.443183, 0.128987, -0.327124, 0.652365], [0.469688, 0.487909, 0.347699, -0.055814, 0.31915, -0.208633, 0.213321], [-0.624639, -1.049434, -0.825724, 0.792408, 0.55878, 0.42918, -0.515274], [0.514645, 0.368971, 0.247291, 0.740705, 0.159368, -0.032394, 0.707057], [0.530751, 0.650172, 0.912396, -0.118282, -0.196623, -0.223001, 0.331397], [0.286747, 0.380117, 0.36461, 0.148436, 0.273953, -0.483772, 0.06971], [-0.142189, -0.909464, -0.401333, 0.349705, -0.030815, 0.467252, -0.327377]], "network.10.bias": [-0.330415, 0.11515, 0.314088, -0.382338, 0.096345, 0.030369, -0.001795], "network.12.weight": [[-0.50694, -0.22314, 0.44357, -0.183849, -0.449828, -0.364224, 0.167516]], "network.12.bias": [-0.298695]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809067726135254, "train_acc": 0.585, "val_loss": 0.7226647734642029, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6778367459774017, "train_acc": 0.585, "val_loss": 0.6568443775177002, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6571787893772125, "train_acc": 0.635, "val_loss": 0.7170650959014893, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7130264937877655, "train_acc": 0.505, "val_loss": 0.7432587146759033, "val_acc": 0.48}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.725847452878952, "train_acc": 0.505, "val_loss": 0.7183646559715271, "val_acc": 0.48}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.7011032104492188, "train_acc": 0.505, "val_loss": 0.6860207915306091, "val_acc": 0.48}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6720338761806488, "train_acc": 0.64, "val_loss": 0.6144766807556152, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5965218544006348, "train_acc": 0.82, "val_loss": 0.47916069626808167, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5165317952632904, "train_acc": 0.835, "val_loss": 0.37759435176849365, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.43092040717601776, "train_acc": 0.85, "val_loss": 0.30589020252227783, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3780611753463745, "train_acc": 0.84, "val_loss": 0.36073264479637146, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3716628849506378, "train_acc": 0.825, "val_loss": 0.3101138770580292, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7226647734642029, "final_val_loss": 0.6568443775177002, "initial_val_acc": 0.48, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.7170650959014893, "final_val_loss": 0.3101138770580292, "initial_val_acc": 0.48, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
94
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.68, "improved_accuracy": 0.96, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4908, "learning_rate": 0.07820043132053234, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.151775,
-0.059857,
-0.068186,
-0.095639,
-0.394961
],
[
-1.417994,
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-0.539233,
0.324578,
0.643569
],
[
1.366587,
1.083946,
0.250832,
0.1161,
0.060513
],
[
-1.105811,
-1.311607,
-0.264276,
0.259289,
0.307404
],
[
-1.071624,
-0.932472,
-0.129259,
-0.067759,
0.639557
]
],
"network.0.bias": [
-0.2225,
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],
"network.2.weight": [
[
-0.019745,
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-0.018128,
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],
[
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-0.69828,
0.571263,
0.189455
],
[
0.004636,
0.551309,
-0.688009,
0.3219,
0.227524
],
[
0.272861,
0.395821,
-0.772639,
0.233946,
0.439537
],
[
0.20717,
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0.478955
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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-0.202235,
-0.04678,
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],
[
0.512885,
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0.431732,
0.692884,
0.867315
],
[
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0.298345,
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0.017944,
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],
[
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]
],
"network.4.bias": [
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-0.236089
],
"network.6.weight": [
[
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],
[
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],
[
0.118039,
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],
[
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],
[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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],
[
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[
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[
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],
"network.8.bias": [
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1.093155,
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],
"network.10.weight": [
[
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],
[
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],
[
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1.25031,
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],
[
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],
[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.355093, -3.136464, 4.765793, -3.002193, -2.423675]
std: [0.961840, 4.328664, 4.168805, 3.927568, 3.350133]
pca: [[0.050010, -0.570201, -0.231066, -0.064589, 0.784096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546136, 0.405586, -0.658687, -0.319043, 0.039723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520557, 0.650849, -0.110148, 0.225050, 0.492582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501897, 0.047252, 0.034211, 0.858939, 0.083187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419946, 0.290748, 0.706708, -0.324987, 0.366140, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.429397, 18.537592, 19.973504, 20.731803, 121.958336], [66.387088, 69.776400, 75.536578, 83.164400, 282.281753], [65.261610, 67.448790, 71.498408, 76.525679, 428.921449], [62.202517, 64.588915, 66.073952, 67.228056, 270.197439], [54.142690, 55.594976, 57.492141, 60.988220, 218.130745]]
### 2
mean: [-0.357885, -2.757131, -2.676182, -2.847939, -3.287623]
std: [0.587784, 3.321246, 3.159479, 3.480090, 4.232970]
pca: [[-0.061597, 0.873370, -0.464227, -0.119751, -0.059861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.463777, -0.315242, -0.464688, -0.504368, -0.463909, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.441624, 0.081096, 0.111543, -0.449960, 0.763862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485802, 0.361786, 0.673449, -0.010230, -0.423640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.591678, -0.019556, -0.320286, 0.727120, 0.135087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.988665, 9.084199, 9.417263, 12.634436, 32.209612], [50.149228, 51.206502, 59.447203, 62.687634, 248.141768], [49.016340, 49.860008, 56.528077, 58.555760, 240.856383], [55.072773, 56.746531, 62.212589, 63.523008, 256.314555], [64.993867, 66.173313, 75.616676, 77.800120, 295.886041]]
### 4
mean: [0.398795, 0.333219, 0.703583, -0.557787, -0.343323]
std: [1.305933, 0.971339, 2.197312, 0.274598, 0.269116]
pca: [[0.472938, 0.343824, 0.660676, 0.464860, 0.074342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351740, 0.291033, -0.447286, 0.763564, 0.092110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.796037, 0.074589, -0.599993, -0.015938, 0.022710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098743, 0.491999, -0.030663, -0.346509, 0.791946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095829, 0.741255, -0.050107, -0.283819, -0.598577, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.239394, 20.332739, 21.913985, 22.865580, 35.891581], [15.181676, 15.308546, 16.447333, 17.619539, 29.989747], [34.074758, 34.400490, 37.066263, 38.039284, 63.322482], [4.328443, 4.468704, 4.681379, 5.367563, 50.200850], [4.251835, 4.501431, 4.689601, 5.436420, 30.899083]]
### 6
mean: [-0.528360, -0.372909, -0.555709, 0.592896, -0.739605]
std: [0.983131, 0.759686, 0.065222, 2.374807, 1.192875]
pca: [[-0.333140, 0.641603, 0.458349, -0.508166, -0.095119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257549, -0.476359, 0.769445, 0.293159, -0.169598, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006565, 0.326902, 0.205355, 0.451723, 0.804281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.810769, 0.313283, 0.315747, 0.208418, -0.318393, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406568, 0.395496, -0.236652, 0.639010, -0.462545, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.791849, 14.941440, 15.752037, 15.946838, 47.552445], [12.099363, 12.574543, 13.526530, 14.753258, 33.561787], [0.939804, 1.014501, 1.062904, 1.158436, 50.013774], [37.312843, 38.117108, 41.032487, 43.441268, 53.360676], [18.408189, 18.473108, 19.895606, 20.311771, 66.564490]]
### 8
mean: [-0.430931, 0.469598, 0.103018, 0.851498, -0.297849]
std: [0.197560, 1.583868, 0.383959, 0.736753, 0.338974]
pca: [[-0.107894, -0.264489, 0.090948, 0.952951, 0.044914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.864998, 0.213528, -0.196506, 0.192969, -0.361017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.209692, 0.524220, 0.127486, 0.119048, 0.806720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402364, 0.779035, 0.063960, 0.185254, -0.439088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.185124, -0.052437, 0.965800, -0.078458, -0.155093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.081134, 3.138795, 3.360237, 3.570171, 38.783829], [24.701882, 25.164155, 26.939488, 28.622554, 42.263786], [5.988197, 6.100260, 6.530634, 6.938641, 9.271594], [11.490345, 11.705376, 12.531191, 13.314087, 76.634848], [5.286614, 5.385549, 5.765499, 6.125704, 26.806414]]
### 10
mean: [-0.399608, -0.569609, 1.826507, -0.101067, 0.444606]
std: [0.670043, 0.082555, 1.328146, 0.053502, 1.060100]
pca: [[0.368357, -0.155976, -0.047829, -0.507046, 0.761972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.038576, -0.203769, -0.132218, 0.837211, 0.488453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.727067, 0.647253, 0.094487, 0.189637, -0.086867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.020463, -0.178760, 0.978901, 0.073053, 0.063574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.577736, 0.695167, 0.114258, -0.026143, 0.411370, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.534752, 10.645708, 11.491038, 12.292869, 35.964698], [1.108691, 1.126233, 1.157149, 1.174241, 51.264829], [21.425959, 21.539748, 23.971912, 26.637038, 164.385617], [0.730476, 0.760702, 0.773052, 0.785216, 9.096031], [16.212906, 16.504364, 17.465872, 18.186033, 40.014536]]
### 12
mean: [-2.288484]
std: [1.288041]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.716921, 20.923463, 23.993488, 28.497294, 205.963586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.151775,
-0.059857,
-0.068186,
-0.095639,
-0.394961
],
[
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-0.539233,
0.324578,
0.643569
],
[
1.366587,
1.083946,
0.250832,
0.1161,
0.060513
],
[
-1.105811,
-1.311607,
-0.264276,
0.259289,
0.307404
],
[
-1.071624,
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"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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-0.69828,
0.571263,
0.189455
],
[
0.004636,
0.551309,
-0.688009,
0.3219,
0.227524
],
[
0.272861,
0.395821,
-0.772639,
0.233946,
0.439537
],
[
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]
],
"network.2.bias": [
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0.332275,
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],
"network.4.weight": [
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],
[
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],
[
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0.840545,
0.431732,
0.692884,
0.867315
],
[
-0.157251,
0.298345,
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],
[
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0.163363,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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0.623456,
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],
[
0.118039,
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],
[
0.639227,
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],
[
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0.052028
]
],
"network.6.bias": [
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-0.28405
],
"network.8.weight": [
[
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],
[
0.365631,
0.219923,
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0.683058,
-0.17585
],
[
0.260371,
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0.458938,
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[
0.087971,
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[
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]
],
"network.8.bias": [
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1.093155,
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],
"network.10.weight": [
[
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],
[
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],
[
0.201013,
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1.25031,
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],
[
-0.176356,
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],
[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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0.477892
]
],
"network.12.bias": [
-0.218415
]
}
## Activation Signature
### 0
mean: [-1.355093, -3.136464, 4.765793, -3.002193, -2.423675]
std: [0.961840, 4.328664, 4.168805, 3.927568, 3.350133]
pca: [[0.050010, -0.570201, -0.231066, -0.064589, 0.784096, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546136, 0.405586, -0.658687, -0.319043, 0.039723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520557, 0.650849, -0.110148, 0.225050, 0.492582, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.501897, 0.047252, 0.034211, 0.858939, 0.083187, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.419946, 0.290748, 0.706708, -0.324987, 0.366140, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.429397, 18.537592, 19.973504, 20.731803, 121.958336], [66.387088, 69.776400, 75.536578, 83.164400, 282.281753], [65.261610, 67.448790, 71.498408, 76.525679, 428.921449], [62.202517, 64.588915, 66.073952, 67.228056, 270.197439], [54.142690, 55.594976, 57.492141, 60.988220, 218.130745]]
### 2
mean: [-0.357885, -2.757131, -2.676182, -2.847939, -3.287623]
std: [0.587784, 3.321246, 3.159479, 3.480090, 4.232970]
pca: [[-0.061597, 0.873370, -0.464227, -0.119751, -0.059861, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.463777, -0.315242, -0.464688, -0.504368, -0.463909, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.441624, 0.081096, 0.111543, -0.449960, 0.763862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485802, 0.361786, 0.673449, -0.010230, -0.423640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.591678, -0.019556, -0.320286, 0.727120, 0.135087, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.988665, 9.084199, 9.417263, 12.634436, 32.209612], [50.149228, 51.206502, 59.447203, 62.687634, 248.141768], [49.016340, 49.860008, 56.528077, 58.555760, 240.856383], [55.072773, 56.746531, 62.212589, 63.523008, 256.314555], [64.993867, 66.173313, 75.616676, 77.800120, 295.886041]]
### 4
mean: [0.398795, 0.333219, 0.703583, -0.557787, -0.343323]
std: [1.305933, 0.971339, 2.197312, 0.274598, 0.269116]
pca: [[0.472938, 0.343824, 0.660676, 0.464860, 0.074342, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.351740, 0.291033, -0.447286, 0.763564, 0.092110, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.796037, 0.074589, -0.599993, -0.015938, 0.022710, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098743, 0.491999, -0.030663, -0.346509, 0.791946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095829, 0.741255, -0.050107, -0.283819, -0.598577, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.239394, 20.332739, 21.913985, 22.865580, 35.891581], [15.181676, 15.308546, 16.447333, 17.619539, 29.989747], [34.074758, 34.400490, 37.066263, 38.039284, 63.322482], [4.328443, 4.468704, 4.681379, 5.367563, 50.200850], [4.251835, 4.501431, 4.689601, 5.436420, 30.899083]]
### 6
mean: [-0.528360, -0.372909, -0.555709, 0.592896, -0.739605]
std: [0.983131, 0.759686, 0.065222, 2.374807, 1.192875]
pca: [[-0.333140, 0.641603, 0.458349, -0.508166, -0.095119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257549, -0.476359, 0.769445, 0.293159, -0.169598, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.006565, 0.326902, 0.205355, 0.451723, 0.804281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.810769, 0.313283, 0.315747, 0.208418, -0.318393, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.406568, 0.395496, -0.236652, 0.639010, -0.462545, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.791849, 14.941440, 15.752037, 15.946838, 47.552445], [12.099363, 12.574543, 13.526530, 14.753258, 33.561787], [0.939804, 1.014501, 1.062904, 1.158436, 50.013774], [37.312843, 38.117108, 41.032487, 43.441268, 53.360676], [18.408189, 18.473108, 19.895606, 20.311771, 66.564490]]
### 8
mean: [-0.430931, 0.469598, 0.103018, 0.851498, -0.297849]
std: [0.197560, 1.583868, 0.383959, 0.736753, 0.338974]
pca: [[-0.107894, -0.264489, 0.090948, 0.952951, 0.044914, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.864998, 0.213528, -0.196506, 0.192969, -0.361017, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.209692, 0.524220, 0.127486, 0.119048, 0.806720, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402364, 0.779035, 0.063960, 0.185254, -0.439088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.185124, -0.052437, 0.965800, -0.078458, -0.155093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[3.081134, 3.138795, 3.360237, 3.570171, 38.783829], [24.701882, 25.164155, 26.939488, 28.622554, 42.263786], [5.988197, 6.100260, 6.530634, 6.938641, 9.271594], [11.490345, 11.705376, 12.531191, 13.314087, 76.634848], [5.286614, 5.385549, 5.765499, 6.125704, 26.806414]]
### 10
mean: [-0.399608, -0.569609, 1.826507, -0.101067, 0.444606]
std: [0.670043, 0.082555, 1.328146, 0.053502, 1.060100]
pca: [[0.368357, -0.155976, -0.047829, -0.507046, 0.761972, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.038576, -0.203769, -0.132218, 0.837211, 0.488453, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.727067, 0.647253, 0.094487, 0.189637, -0.086867, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.020463, -0.178760, 0.978901, 0.073053, 0.063574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.577736, 0.695167, 0.114258, -0.026143, 0.411370, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.534752, 10.645708, 11.491038, 12.292869, 35.964698], [1.108691, 1.126233, 1.157149, 1.174241, 51.264829], [21.425959, 21.539748, 23.971912, 26.637038, 164.385617], [0.730476, 0.760702, 0.773052, 0.785216, 9.096031], [16.212906, 16.504364, 17.465872, 18.186033, 40.014536]]
### 12
mean: [-2.288484]
std: [1.288041]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.716921, 20.923463, 23.993488, 28.497294, 205.963586]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -1.3550925254821777, "std": 0.9618397355079651, "pca": [0.050010014325380325, -0.570200502872467, -0.23106613755226135, -0.06458918750286102, 0.784096360206604, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.429396589231857, 18.537592353643742, 19.97350380454423, 20.731803068089743, 121.95833633840084]}, "1": {"mean": -3.1364636421203613, "std": 4.328664302825928, "pca": [0.5461357235908508, 0.40558648109436035, -0.6586872339248657, -0.31904336810112, 0.03972253575921059, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [66.38708829733477, 69.77639971192374, 75.53657772327387, 83.16440035578596, 282.2817528396845]}, "2": {"mean": 4.765793323516846, "std": 4.168805122375488, "pca": [-0.5205565690994263, 0.6508486866950989, -0.1101481169462204, 0.22504985332489014, 0.4925817549228668, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [65.26161018398912, 67.4487900957039, 71.49840839131568, 76.52567868832983, 428.9214493483305]}, "3": {"mean": 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"fourier": [16.212905834777096, 16.50436441747051, 17.465872080189534, 18.186032853205596, 40.01453594863415]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -2.2884840965270996, "std": 1.2880406379699707, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.71692083750504, 20.92346334995553, 23.993488445610183, 28.497293854009435, 205.96358640491962]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.151775, -0.059857, -0.068186, -0.095639, -0.394961], [-1.417994, -0.997033, -0.539233, 0.324578, 0.643569], [1.366587, 1.083946, 0.250832, 0.1161, 0.060513], [-1.105811, -1.311607, -0.264276, 0.259289, 0.307404], [-1.071624, -0.932472, -0.129259, -0.067759, 0.639557]], "network.0.bias": [-0.2225, 0.08159, 0.242398, 0.380844, 0.235599], "network.2.weight": [[-0.019745, -0.13034, 0.051234, -0.018128, -0.593542], [0.366043, 0.69201, -0.69828, 0.571263, 0.189455], [0.004636, 0.551309, -0.688009, 0.3219, 0.227524], [0.272861, 0.395821, -0.772639, 0.233946, 0.439537], [0.20717, 0.443078, -0.907916, 0.867027, 0.478955]], "network.2.bias": [-0.431559, 0.219274, 0.332275, 0.579189, 0.637193], "network.4.weight": [[-0.251465, 0.414663, 0.497743, 0.388718, 0.440624], [-0.004868, -0.100118, -0.202235, -0.04678, -0.760194], [0.512885, 0.840545, 0.431732, 0.692884, 0.867315], [-0.157251, 0.298345, -0.316436, 0.017944, -0.340906], [-0.220715, 0.170381, 0.163363, -0.205153, -0.394304]], "network.4.bias": [-0.00067, 0.650253, -0.009336, -0.456965, -0.236089], "network.6.weight": [[0.087318, -0.422595, -0.529684, -0.159744, 0.128895], [0.343854, 0.623456, -0.498887, -0.015715, -0.122353], [0.118039, -0.318056, -0.103759, -0.445011, -0.308509], [0.639227, -0.821477, 0.638578, 0.35591, 0.141808], [-0.374824, -0.129411, -0.330502, 0.082211, 0.052028]], "network.6.bias": [0.03422, -0.48749, -0.362855, 0.311405, -0.28405], "network.8.weight": [[0.090032, -0.348427, 0.037718, -0.0852, -0.107027], [0.365631, 0.219923, -1.6e-05, 0.683058, -0.17585], [0.260371, 0.122797, 0.458938, 0.165586, -0.158506], [0.087971, -0.071452, -0.09351, -0.317732, -0.217582], [0.218746, 0.02195, -0.181548, 0.146186, 0.129602]], "network.8.bias": [-0.366131, -0.049915, -0.022922, 1.093155, -0.409034], "network.10.weight": [[0.050986, -0.358228, -0.030771, 0.188228, -0.196852], [-0.156583, -0.103848, 0.153162, -0.166486, -0.046158], [0.201013, -0.48656, -0.512653, 1.25031, -0.106741], [-0.176356, 0.039516, -0.007067, 0.005378, -0.411836], [0.183437, 0.604582, 0.097987, 0.120555, 0.430003]], "network.10.bias": [-0.381065, -0.376764, 0.967103, -0.10638, -0.008435], "network.12.weight": [[0.023694, 0.311778, -1.156993, 0.326812, 0.477892]], "network.12.bias": [-0.218415]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7027100920677185, "train_acc": 0.465, "val_loss": 0.6930714249610901, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.688102126121521, "train_acc": 0.51, "val_loss": 0.6656240224838257, "val_acc": 0.7}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6476117372512817, "train_acc": 0.69, "val_loss": 0.6278277039527893, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.630692183971405, "train_acc": 0.665, "val_loss": 0.6582984924316406, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6324866712093353, "train_acc": 0.605, "val_loss": 0.5443309545516968, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5157598257064819, "train_acc": 0.78, "val_loss": 0.4134751856327057, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45139509439468384, "train_acc": 0.83, "val_loss": 0.35981589555740356, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.40650662779808044, "train_acc": 0.845, "val_loss": 0.2895953059196472, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3392680138349533, "train_acc": 0.87, "val_loss": 0.26476141810417175, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.33336329460144043, "train_acc": 0.89, "val_loss": 0.22451579570770264, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2985220104455948, "train_acc": 0.895, "val_loss": 0.21934638917446136, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.30328817665576935, "train_acc": 0.89, "val_loss": 0.23611798882484436, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.28125934302806854, "train_acc": 0.895, "val_loss": 0.2428458034992218, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6930714249610901, "final_val_loss": 0.6278277039527893, "initial_val_acc": 0.52, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.6582984924316406, "final_val_loss": 0.2428458034992218, "initial_val_acc": 0.56, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
95
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5156, "learning_rate": 0.08113196529052372, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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"network.4.weight": [
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[
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[
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],
[
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]
],
"network.4.bias": [
0.232527,
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0.300553,
0.259885,
0.327601
],
"network.6.weight": [
[
-0.817891,
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-1.154026,
-0.669347
],
[
-0.921044,
-1.25614,
-0.90997,
-1.323125,
-1.25914
],
[
0.253216,
1.340682,
0.745307,
0.76605,
1.196441
],
[
-0.870344,
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-0.789453,
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],
[
0.642847,
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0.654994,
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]
],
"network.6.bias": [
1.027823,
1.112255,
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0.52829
],
"network.8.weight": [
[
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1.202072,
-1.299927,
-0.407568
]
],
"network.8.bias": [
-0.365331
]
}
## Activation Signature
### 0
mean: [0.693646, 2.815297, -0.479288, -1.119753, -3.207948]
std: [1.209364, 2.833235, 2.476268, 2.538950, 3.024258]
pca: [[-0.152950, -0.286173, 0.565665, 0.634660, -0.414658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.591564, -0.165619, 0.029219, 0.246153, 0.749117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.002128, 0.855692, 0.491097, 0.050076, 0.155252, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472820, -0.392536, 0.598013, -0.349099, 0.377978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.634897, 0.066205, -0.283500, 0.642058, 0.316088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.195329, 19.617538, 20.340473, 23.048500, 62.428115], [46.767540, 48.365538, 51.222571, 51.734061, 253.376722], [42.964589, 43.135889, 44.210681, 44.620041, 45.383351], [39.447768, 39.641735, 42.175300, 43.638158, 100.777801], [46.506587, 49.277602, 52.419585, 56.767498, 288.715247]]
### 2
mean: [1.751812, 0.566789, 0.001083, 0.984567, -1.877431]
std: [1.461628, 1.436043, 1.277432, 1.306112, 1.732266]
pca: [[-0.556811, 0.135538, 0.721996, -0.382455, -0.063573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166208, 0.681261, 0.001241, 0.559250, -0.442150, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181323, 0.576657, -0.515336, -0.548054, 0.262021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520915, -0.076838, -0.068210, 0.487139, 0.693388, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.598420, 0.423173, 0.456615, 0.057451, 0.501019, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.317007, 23.733104, 25.523787, 26.687954, 157.663097], [21.525754, 23.121757, 30.549747, 31.064875, 51.010974], [18.535540, 19.606260, 20.188819, 27.934223, 29.099528], [21.914703, 22.355030, 23.782243, 24.541181, 88.610996], [28.891516, 30.301982, 31.169961, 31.289333, 168.968754]]
### 4
mean: [-0.129702, -1.515851, -0.690870, -1.037480, -0.991456]
std: [0.473730, 2.429025, 1.240960, 1.687351, 1.654524]
pca: [[0.127177, 0.384163, 0.561418, -0.418690, 0.588008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667679, -0.617713, 0.041440, -0.407371, -0.070473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.341638, 0.010295, 0.639770, 0.649078, -0.229281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.462271, 0.678506, -0.218482, -0.209686, -0.483976, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455653, 0.101846, -0.475450, 0.439860, 0.602062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.242826, 8.985522, 9.212718, 9.770078, 11.673144], [37.320503, 40.788062, 41.825288, 50.119154, 136.426534], [18.261346, 21.500415, 22.303433, 26.216938, 62.178273], [25.941424, 30.551403, 32.162497, 35.436101, 93.373194], [24.805859, 28.814733, 30.196998, 34.839422, 89.231005]]
### 6
mean: [0.938486, 0.942441, 0.096240, 1.154319, 0.511886]
std: [0.572270, 0.923536, 0.770005, 0.724196, 0.120281]
pca: [[0.376116, -0.392350, 0.617118, -0.220308, -0.524622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609577, -0.057922, 0.006840, 0.773471, 0.163576, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.506521, -0.487615, 0.479279, 0.262166, 0.455223, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477698, -0.207720, -0.047445, -0.532369, 0.665574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046852, 0.749527, 0.622221, -0.032533, 0.218627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.651712, 8.808700, 8.819228, 10.047932, 84.463774], [14.300941, 14.688274, 14.813019, 15.137900, 84.819661], [11.049887, 12.172829, 12.266215, 12.580316, 13.234689], [11.088584, 11.312970, 11.766317, 11.973861, 103.888675], [1.825051, 1.923625, 1.930091, 2.572625, 46.069756]]
### 8
mean: [-3.656295]
std: [2.752069]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.067716, 40.708523, 42.773902, 47.163304, 329.066563]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.280477,
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],
[
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0.228235,
-0.130159
],
[
0.180051,
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0.242152,
0.085473
],
[
-1.125039,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
-1.086989,
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0.380872,
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],
[
0.230046,
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0.147864
],
[
-0.422646,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
0.095201,
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0.045512,
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0.038242
],
[
-0.427975,
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-0.851162
],
[
0.009437,
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-0.449734
],
[
-0.128793,
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-0.559116
],
[
-0.241867,
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-0.039643,
-0.664418
]
],
"network.4.bias": [
0.232527,
0.588577,
0.300553,
0.259885,
0.327601
],
"network.6.weight": [
[
-0.817891,
-0.485321,
-0.661029,
-1.154026,
-0.669347
],
[
-0.921044,
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-1.25914
],
[
0.253216,
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0.745307,
0.76605,
1.196441
],
[
-0.870344,
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],
[
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0.654994,
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]
],
"network.6.bias": [
1.027823,
1.112255,
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1.28174,
0.52829
],
"network.8.weight": [
[
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-1.182555,
1.202072,
-1.299927,
-0.407568
]
],
"network.8.bias": [
-0.365331
]
}
## Activation Signature
### 0
mean: [0.693646, 2.815297, -0.479288, -1.119753, -3.207948]
std: [1.209364, 2.833235, 2.476268, 2.538950, 3.024258]
pca: [[-0.152950, -0.286173, 0.565665, 0.634660, -0.414658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.591564, -0.165619, 0.029219, 0.246153, 0.749117, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.002128, 0.855692, 0.491097, 0.050076, 0.155252, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.472820, -0.392536, 0.598013, -0.349099, 0.377978, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.634897, 0.066205, -0.283500, 0.642058, 0.316088, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.195329, 19.617538, 20.340473, 23.048500, 62.428115], [46.767540, 48.365538, 51.222571, 51.734061, 253.376722], [42.964589, 43.135889, 44.210681, 44.620041, 45.383351], [39.447768, 39.641735, 42.175300, 43.638158, 100.777801], [46.506587, 49.277602, 52.419585, 56.767498, 288.715247]]
### 2
mean: [1.751812, 0.566789, 0.001083, 0.984567, -1.877431]
std: [1.461628, 1.436043, 1.277432, 1.306112, 1.732266]
pca: [[-0.556811, 0.135538, 0.721996, -0.382455, -0.063573, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166208, 0.681261, 0.001241, 0.559250, -0.442150, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181323, 0.576657, -0.515336, -0.548054, 0.262021, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.520915, -0.076838, -0.068210, 0.487139, 0.693388, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.598420, 0.423173, 0.456615, 0.057451, 0.501019, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.317007, 23.733104, 25.523787, 26.687954, 157.663097], [21.525754, 23.121757, 30.549747, 31.064875, 51.010974], [18.535540, 19.606260, 20.188819, 27.934223, 29.099528], [21.914703, 22.355030, 23.782243, 24.541181, 88.610996], [28.891516, 30.301982, 31.169961, 31.289333, 168.968754]]
### 4
mean: [-0.129702, -1.515851, -0.690870, -1.037480, -0.991456]
std: [0.473730, 2.429025, 1.240960, 1.687351, 1.654524]
pca: [[0.127177, 0.384163, 0.561418, -0.418690, 0.588008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.667679, -0.617713, 0.041440, -0.407371, -0.070473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.341638, 0.010295, 0.639770, 0.649078, -0.229281, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.462271, 0.678506, -0.218482, -0.209686, -0.483976, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.455653, 0.101846, -0.475450, 0.439860, 0.602062, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.242826, 8.985522, 9.212718, 9.770078, 11.673144], [37.320503, 40.788062, 41.825288, 50.119154, 136.426534], [18.261346, 21.500415, 22.303433, 26.216938, 62.178273], [25.941424, 30.551403, 32.162497, 35.436101, 93.373194], [24.805859, 28.814733, 30.196998, 34.839422, 89.231005]]
### 6
mean: [0.938486, 0.942441, 0.096240, 1.154319, 0.511886]
std: [0.572270, 0.923536, 0.770005, 0.724196, 0.120281]
pca: [[0.376116, -0.392350, 0.617118, -0.220308, -0.524622, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609577, -0.057922, 0.006840, 0.773471, 0.163576, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.506521, -0.487615, 0.479279, 0.262166, 0.455223, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.477698, -0.207720, -0.047445, -0.532369, 0.665574, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046852, 0.749527, 0.622221, -0.032533, 0.218627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.651712, 8.808700, 8.819228, 10.047932, 84.463774], [14.300941, 14.688274, 14.813019, 15.137900, 84.819661], [11.049887, 12.172829, 12.266215, 12.580316, 13.234689], [11.088584, 11.312970, 11.766317, 11.973861, 103.888675], [1.825051, 1.923625, 1.930091, 2.572625, 46.069756]]
### 8
mean: [-3.656295]
std: [2.752069]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.067716, 40.708523, 42.773902, 47.163304, 329.066563]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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[11.049887081873939, 12.172829180761637, 12.26621538794907, 12.580315764810821, 13.234689267963965]}, "3": {"mean": 1.1543186902999878, "std": 0.7241958379745483, "pca": [0.47769755125045776, -0.20771990716457367, -0.047444846481084824, -0.5323694348335266, 0.6655743718147278, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.088583566946552, 11.312970285464132, 11.76631673275445, 11.973861104428726, 103.8886747956276]}, "4": {"mean": 0.5118861198425293, "std": 0.1202809065580368, "pca": [0.046851541846990585, 0.749526858329773, 0.6222205758094788, -0.03253326565027237, 0.21862654387950897, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [1.8250510883617186, 1.9236245321561418, 1.930091153485405, 2.572625271023083, 46.0697557926178]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.65629506111145, "std": 2.7520694732666016, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.06771629469141, 40.70852276664318, 42.7739015251267, 47.163303768703045, 329.0665633380413]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.227223, -0.147147, 0.491974, 0.280477, -0.032504], [1.064347, 0.395848, 0.356664, 0.228235, -0.130159], [0.180051, 0.394626, -1.295692, 0.242152, 0.085473], [-1.125039, -0.449857, 0.575577, -0.091139, 0.071207], [-0.998368, -0.730488, -0.210001, -0.158836, -0.063455]], "network.0.bias": [-0.910045, -0.304486, 0.659413, 0.005341, 0.223125], "network.2.weight": [[0.298078, 0.38839, 0.909108, 0.014528, 0.108776], [-0.810602, 0.265485, 0.692093, -0.652373, -0.058833], [-1.086989, 0.373709, 0.380872, -0.445036, -0.346603], [0.230046, 0.407522, 0.314986, 0.008068, 0.147864], [-0.422646, -0.474876, 0.088741, -0.369193, -0.509484]], "network.2.bias": [-0.116634, 0.254238, -0.280518, -0.522748, -0.171311], "network.4.weight": [[0.095201, -0.523698, 0.045512, -0.136441, 0.038242], [-0.427975, -1.225452, -0.845286, -0.176317, -0.851162], [0.009437, -0.824165, -0.38041, -0.261029, -0.449734], [-0.128793, -1.06801, -0.610299, -0.061894, -0.559116], [-0.241867, -0.803768, -0.779799, -0.039643, -0.664418]], "network.4.bias": [0.232527, 0.588577, 0.300553, 0.259885, 0.327601], "network.6.weight": [[-0.817891, -0.485321, -0.661029, -1.154026, -0.669347], [-0.921044, -1.25614, -0.90997, -1.323125, -1.25914], [0.253216, 1.340682, 0.745307, 0.76605, 1.196441], [-0.870344, -0.844182, -0.789453, -0.902782, -1.161013], [0.642847, -0.190513, 0.654994, -0.459754, -0.71062]], "network.6.bias": [1.027823, 1.112255, -0.059486, 1.28174, 0.52829], "network.8.weight": [[-0.964867, -1.182555, 1.202072, -1.299927, -0.407568]], "network.8.bias": [-0.365331]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7169036567211151, "train_acc": 0.41, "val_loss": 0.6886897087097168, "val_acc": 0.74}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782347857952118, "train_acc": 0.725, "val_loss": 0.7037112712860107, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6432809829711914, "train_acc": 0.59, "val_loss": 0.6734142899513245, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5711610913276672, "train_acc": 0.59, "val_loss": 0.5857914686203003, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5394743382930756, "train_acc": 0.775, "val_loss": 0.49433913826942444, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4147687554359436, "train_acc": 0.815, "val_loss": 0.46076130867004395, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3740340322256088, "train_acc": 0.845, "val_loss": 0.25361835956573486, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.2167147472500801, "train_acc": 0.91, "val_loss": 0.30731967091560364, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.24463287740945816, "train_acc": 0.91, "val_loss": 0.20606523752212524, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.1974048912525177, "train_acc": 0.91, "val_loss": 0.170466348528862, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.14328760281205177, "train_acc": 0.95, "val_loss": 0.10983730107545853, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.14260786771774292, "train_acc": 0.965, "val_loss": 0.15923461318016052, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.15289784222841263, "train_acc": 0.97, "val_loss": 0.09210842102766037, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.08126066252589226, "train_acc": 0.975, "val_loss": 0.17401590943336487, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6886897087097168, "final_val_loss": 0.5857914686203003, "initial_val_acc": 0.74, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.49433913826942444, "final_val_loss": 0.17401590943336487, "initial_val_acc": 0.76, "final_val_acc": 0.92, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
96
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5234, "learning_rate": 0.05054527604583981, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.442652,
0.228803,
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],
[
0.573936,
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0.013415,
0.606156,
0.205043,
0.506443,
-0.017344
],
[
0.401396,
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0.036396,
0.470897,
0.221339,
0.368865,
-0.335067
],
[
0.095109,
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-0.01696,
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-0.028665,
0.031041
],
[
-0.159098,
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0.003603,
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]
],
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.804084
]
}
## Activation Signature
### 0
mean: [-3.327474, -2.108294, 2.424072, 0.799819, -1.054456, -3.277963, 1.363768]
std: [2.778035, 1.399456, 2.665838, 2.415432, 2.423984, 2.343031, 2.246512]
pca: [[0.482869, 0.231439, 0.348145, -0.298833, -0.448635, -0.457483, -0.303649, 0.000000, 0.000000, 0.000000], [0.215603, 0.172931, 0.353290, 0.088003, -0.421583, 0.658878, 0.423319, 0.000000, 0.000000, 0.000000], [-0.467160, 0.257163, 0.081525, 0.614895, -0.410235, -0.383333, 0.125098, 0.000000, 0.000000, 0.000000], [-0.324758, 0.597485, -0.443159, -0.538860, -0.177350, 0.067457, 0.121576, 0.000000, 0.000000, 0.000000], [0.413693, -0.194100, -0.422366, 0.023281, -0.093620, -0.362429, 0.687116, 0.000000, 0.000000, 0.000000], [0.311508, 0.666833, 0.124515, 0.270048, 0.593591, -0.071524, 0.111360, 0.000000, 0.000000, 0.000000], [-0.358424, -0.105209, 0.597535, -0.401273, 0.245221, -0.261961, 0.462210, 0.000000, 0.000000, 0.000000]]
fourier: [[46.517542, 46.546626, 50.351224, 54.974951, 299.472647], [23.862900, 27.151257, 27.443669, 27.637922, 189.746494], [42.108091, 42.689870, 42.861989, 43.668996, 218.166519], [35.353525, 36.694209, 41.648363, 49.161743, 71.983675], [39.061430, 39.598125, 40.414825, 40.444946, 94.901072], [37.690029, 37.804964, 45.687194, 46.677409, 295.016665], [34.001396, 35.007808, 39.643019, 40.456681, 122.739160]]
### 2
mean: [3.542095, 1.727775, -0.683404, 2.193364, -1.173123, -1.693356, 0.707249]
std: [4.220002, 2.016341, 0.309678, 2.187808, 0.920491, 1.563422, 0.839037]
pca: [[0.767648, 0.224845, -0.153422, -0.083925, -0.167952, -0.210744, -0.506911, 0.000000, 0.000000, 0.000000], [0.365556, 0.055676, -0.301960, 0.434872, 0.681083, 0.162517, 0.304449, 0.000000, 0.000000, 0.000000], [-0.035546, 0.231862, -0.321765, 0.582542, -0.645236, 0.243673, 0.162429, 0.000000, 0.000000, 0.000000], [0.397571, -0.041182, -0.035179, -0.501228, -0.251209, 0.106195, 0.716513, 0.000000, 0.000000, 0.000000], [-0.150764, 0.737886, 0.135372, 0.029153, 0.080767, -0.579355, 0.267288, 0.000000, 0.000000, 0.000000], [-0.276388, 0.413476, -0.591270, -0.460496, 0.138260, 0.373048, -0.180857, 0.000000, 0.000000, 0.000000], [0.136527, 0.418868, 0.642329, 0.018718, 0.053333, 0.619438, -0.080159, 0.000000, 0.000000, 0.000000]]
fourier: [[67.533961, 69.108631, 71.442639, 71.602996, 318.788575], [33.002404, 34.052762, 34.444271, 34.749078, 155.499788], [4.939749, 4.981505, 5.669504, 6.725787, 61.506378], [35.964005, 37.013043, 37.056720, 37.302296, 197.402805], [15.897422, 17.847785, 18.049830, 18.454165, 105.581031], [25.666549, 26.084265, 27.382723, 28.199728, 152.402005], [13.159042, 13.243102, 13.712131, 14.570905, 63.652393]]
### 4
mean: [-1.380854, -2.499743, -2.065581, 3.801647, -3.605252, 2.496750, -2.351399]
std: [1.141623, 2.503507, 1.965970, 4.381889, 3.662036, 2.777276, 2.072119]
pca: [[-0.152116, 0.383321, 0.320639, -0.411346, 0.009006, 0.723748, -0.184443, 0.000000, 0.000000, 0.000000], [-0.334475, -0.183326, 0.378760, 0.777646, 0.095173, 0.309528, 0.038206, 0.000000, 0.000000, 0.000000], [-0.262347, 0.456978, -0.417869, 0.292709, -0.614333, -0.012117, -0.290688, 0.000000, 0.000000, 0.000000], [0.585411, 0.405334, 0.431261, 0.247686, 0.080039, -0.250055, -0.420393, 0.000000, 0.000000, 0.000000], [-0.489165, 0.455453, -0.120987, 0.001497, 0.662326, -0.311550, -0.053858, 0.000000, 0.000000, 0.000000], [0.370893, 0.437967, -0.240026, 0.229656, 0.106439, 0.258483, 0.694352, 0.000000, 0.000000, 0.000000], [-0.276788, 0.216976, 0.566463, -0.162140, -0.396288, -0.392212, 0.467188, 0.000000, 0.000000, 0.000000]]
fourier: [[18.662080, 18.817510, 18.996116, 19.520682, 124.276860], [41.034214, 42.133108, 42.617214, 42.929750, 224.976866], [32.381484, 32.434800, 32.449298, 33.687425, 185.902315], [71.842122, 73.555923, 74.773114, 75.448398, 342.148192], [60.419387, 60.860789, 61.165625, 62.858671, 324.472710], [45.488295, 46.876687, 47.700035, 47.796308, 224.707467], [34.244791, 34.623611, 34.707741, 35.526671, 211.625949]]
### 6
mean: [3.959980, -0.312119, 1.960623, 3.157551, -2.664551, -0.428478, -0.925918]
std: [4.541937, 0.048524, 2.247066, 3.474395, 3.202497, 0.189815, 0.496889]
pca: [[0.653598, -0.054836, -0.499108, -0.349851, -0.026522, -0.067888, 0.439302, 0.000000, 0.000000, 0.000000], [0.006977, -0.071522, -0.001098, -0.105864, -0.055801, 0.989202, 0.044635, 0.000000, 0.000000, 0.000000], [0.323350, 0.606247, 0.612355, 0.065941, 0.138201, 0.040954, 0.357499, 0.000000, 0.000000, 0.000000], [0.499975, 0.205795, -0.255262, 0.619765, 0.020488, 0.101013, -0.497777, 0.000000, 0.000000, 0.000000], [-0.460841, 0.637763, -0.554286, 0.109386, 0.061701, 0.053349, 0.234591, 0.000000, 0.000000, 0.000000], [-0.027299, -0.227917, -0.057094, 0.124403, 0.956089, 0.045880, 0.111183, 0.000000, 0.000000, 0.000000], [-0.071489, -0.351145, 0.016132, 0.671192, -0.242385, 0.006142, 0.601697, 0.000000, 0.000000, 0.000000]]
fourier: [[74.459229, 76.470260, 77.771502, 78.274314, 356.398224], [0.792590, 0.823471, 0.832084, 0.839016, 28.090726], [36.857370, 37.767039, 38.395971, 38.759411, 176.456039], [56.966089, 58.471711, 59.461410, 59.889924, 284.179582], [52.480634, 53.979023, 54.910538, 55.157657, 239.809609], [3.117637, 3.170578, 3.219558, 3.282976, 38.563045], [8.155973, 8.327882, 8.461876, 8.581992, 83.332639]]
### 8
mean: [3.928219, -2.854838, -2.502656, 4.684026, 3.776814, 3.147955, -1.469515]
std: [4.407288, 3.288058, 1.977567, 5.283215, 4.358809, 3.702329, 2.390934]
pca: [[0.439674, 0.099878, -0.470238, 0.365252, 0.412464, -0.393039, -0.342889, 0.000000, 0.000000, 0.000000], [-0.328011, 0.648128, 0.383741, 0.211894, 0.205004, 0.154540, -0.462897, 0.000000, 0.000000, 0.000000], [-0.197283, -0.024569, -0.103889, 0.572951, 0.405225, 0.350723, 0.578097, 0.000000, 0.000000, 0.000000], [0.527057, 0.097361, 0.595044, 0.405336, -0.292042, -0.232233, 0.234812, 0.000000, 0.000000, 0.000000], [0.434838, 0.185541, 0.230852, -0.545055, 0.589038, 0.181464, 0.214984, 0.000000, 0.000000, 0.000000], [0.369345, -0.330435, 0.022173, 0.165974, -0.093218, 0.731642, -0.427045, 0.000000, 0.000000, 0.000000], [-0.238510, -0.645181, 0.461481, 0.067002, 0.427428, -0.276532, -0.224132, 0.000000, 0.000000, 0.000000]]
fourier: [[72.293693, 74.192223, 75.432723, 75.965147, 353.539645], [53.910431, 55.407268, 56.365447, 56.753427, 256.935410], [32.436838, 33.276868, 33.829115, 34.088887, 225.239057], [86.658139, 88.885095, 90.353531, 91.069916, 421.562343], [71.507894, 73.338244, 74.543505, 75.127329, 339.913234], [60.710578, 62.332522, 63.387793, 63.859461, 283.315994], [39.244937, 40.212756, 40.858083, 41.146119, 132.256396]]
### 10
mean: [-2.540136, 1.043796, 2.830308, 7.150612, 5.587539, -1.047709, -1.366308]
std: [2.879952, 1.557152, 3.545932, 8.497853, 6.630661, 0.880304, 1.510122]
pca: [[-0.241160, 0.451090, -0.578966, -0.124608, -0.589135, -0.201370, -0.000183, 0.000000, 0.000000, 0.000000], [0.130027, 0.675401, 0.606701, -0.142958, -0.100362, -0.005339, 0.358194, 0.000000, 0.000000, 0.000000], [0.296955, 0.491899, -0.409526, -0.155026, 0.622566, 0.198447, -0.226141, 0.000000, 0.000000, 0.000000], [0.711876, -0.282892, -0.185265, -0.460612, -0.220532, -0.023675, 0.342816, 0.000000, 0.000000, 0.000000], [0.555466, 0.134293, -0.016555, 0.751180, -0.207193, -0.175285, -0.187679, 0.000000, 0.000000, 0.000000], [-0.073745, 0.006225, -0.202108, 0.321144, -0.103758, 0.787760, 0.468198, 0.000000, 0.000000, 0.000000], [-0.126507, -0.016923, -0.231422, 0.245834, 0.391062, -0.517869, 0.669777, 0.000000, 0.000000, 0.000000]]
fourier: [[46.937925, 48.980880, 49.882489, 49.931926, 228.612284], [24.948976, 25.131557, 26.023567, 26.281833, 93.941604], [58.599767, 58.728383, 59.502518, 60.711519, 254.727698], [139.352362, 143.023595, 145.413922, 146.515123, 643.555008], [109.011224, 111.038684, 112.766479, 114.080536, 502.878519], [14.458182, 14.769945, 15.009395, 15.162695, 94.293853], [24.819212, 25.297645, 25.694172, 25.988153, 122.967686]]
### 12
mean: [-5.836555]
std: [7.834765]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[128.429596, 131.627816, 133.739860, 135.111623, 525.290034]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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]
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"network.2.bias": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-3.327474, -2.108294, 2.424072, 0.799819, -1.054456, -3.277963, 1.363768]
std: [2.778035, 1.399456, 2.665838, 2.415432, 2.423984, 2.343031, 2.246512]
pca: [[0.482869, 0.231439, 0.348145, -0.298833, -0.448635, -0.457483, -0.303649, 0.000000, 0.000000, 0.000000], [0.215603, 0.172931, 0.353290, 0.088003, -0.421583, 0.658878, 0.423319, 0.000000, 0.000000, 0.000000], [-0.467160, 0.257163, 0.081525, 0.614895, -0.410235, -0.383333, 0.125098, 0.000000, 0.000000, 0.000000], [-0.324758, 0.597485, -0.443159, -0.538860, -0.177350, 0.067457, 0.121576, 0.000000, 0.000000, 0.000000], [0.413693, -0.194100, -0.422366, 0.023281, -0.093620, -0.362429, 0.687116, 0.000000, 0.000000, 0.000000], [0.311508, 0.666833, 0.124515, 0.270048, 0.593591, -0.071524, 0.111360, 0.000000, 0.000000, 0.000000], [-0.358424, -0.105209, 0.597535, -0.401273, 0.245221, -0.261961, 0.462210, 0.000000, 0.000000, 0.000000]]
fourier: [[46.517542, 46.546626, 50.351224, 54.974951, 299.472647], [23.862900, 27.151257, 27.443669, 27.637922, 189.746494], [42.108091, 42.689870, 42.861989, 43.668996, 218.166519], [35.353525, 36.694209, 41.648363, 49.161743, 71.983675], [39.061430, 39.598125, 40.414825, 40.444946, 94.901072], [37.690029, 37.804964, 45.687194, 46.677409, 295.016665], [34.001396, 35.007808, 39.643019, 40.456681, 122.739160]]
### 2
mean: [3.542095, 1.727775, -0.683404, 2.193364, -1.173123, -1.693356, 0.707249]
std: [4.220002, 2.016341, 0.309678, 2.187808, 0.920491, 1.563422, 0.839037]
pca: [[0.767648, 0.224845, -0.153422, -0.083925, -0.167952, -0.210744, -0.506911, 0.000000, 0.000000, 0.000000], [0.365556, 0.055676, -0.301960, 0.434872, 0.681083, 0.162517, 0.304449, 0.000000, 0.000000, 0.000000], [-0.035546, 0.231862, -0.321765, 0.582542, -0.645236, 0.243673, 0.162429, 0.000000, 0.000000, 0.000000], [0.397571, -0.041182, -0.035179, -0.501228, -0.251209, 0.106195, 0.716513, 0.000000, 0.000000, 0.000000], [-0.150764, 0.737886, 0.135372, 0.029153, 0.080767, -0.579355, 0.267288, 0.000000, 0.000000, 0.000000], [-0.276388, 0.413476, -0.591270, -0.460496, 0.138260, 0.373048, -0.180857, 0.000000, 0.000000, 0.000000], [0.136527, 0.418868, 0.642329, 0.018718, 0.053333, 0.619438, -0.080159, 0.000000, 0.000000, 0.000000]]
fourier: [[67.533961, 69.108631, 71.442639, 71.602996, 318.788575], [33.002404, 34.052762, 34.444271, 34.749078, 155.499788], [4.939749, 4.981505, 5.669504, 6.725787, 61.506378], [35.964005, 37.013043, 37.056720, 37.302296, 197.402805], [15.897422, 17.847785, 18.049830, 18.454165, 105.581031], [25.666549, 26.084265, 27.382723, 28.199728, 152.402005], [13.159042, 13.243102, 13.712131, 14.570905, 63.652393]]
### 4
mean: [-1.380854, -2.499743, -2.065581, 3.801647, -3.605252, 2.496750, -2.351399]
std: [1.141623, 2.503507, 1.965970, 4.381889, 3.662036, 2.777276, 2.072119]
pca: [[-0.152116, 0.383321, 0.320639, -0.411346, 0.009006, 0.723748, -0.184443, 0.000000, 0.000000, 0.000000], [-0.334475, -0.183326, 0.378760, 0.777646, 0.095173, 0.309528, 0.038206, 0.000000, 0.000000, 0.000000], [-0.262347, 0.456978, -0.417869, 0.292709, -0.614333, -0.012117, -0.290688, 0.000000, 0.000000, 0.000000], [0.585411, 0.405334, 0.431261, 0.247686, 0.080039, -0.250055, -0.420393, 0.000000, 0.000000, 0.000000], [-0.489165, 0.455453, -0.120987, 0.001497, 0.662326, -0.311550, -0.053858, 0.000000, 0.000000, 0.000000], [0.370893, 0.437967, -0.240026, 0.229656, 0.106439, 0.258483, 0.694352, 0.000000, 0.000000, 0.000000], [-0.276788, 0.216976, 0.566463, -0.162140, -0.396288, -0.392212, 0.467188, 0.000000, 0.000000, 0.000000]]
fourier: [[18.662080, 18.817510, 18.996116, 19.520682, 124.276860], [41.034214, 42.133108, 42.617214, 42.929750, 224.976866], [32.381484, 32.434800, 32.449298, 33.687425, 185.902315], [71.842122, 73.555923, 74.773114, 75.448398, 342.148192], [60.419387, 60.860789, 61.165625, 62.858671, 324.472710], [45.488295, 46.876687, 47.700035, 47.796308, 224.707467], [34.244791, 34.623611, 34.707741, 35.526671, 211.625949]]
### 6
mean: [3.959980, -0.312119, 1.960623, 3.157551, -2.664551, -0.428478, -0.925918]
std: [4.541937, 0.048524, 2.247066, 3.474395, 3.202497, 0.189815, 0.496889]
pca: [[0.653598, -0.054836, -0.499108, -0.349851, -0.026522, -0.067888, 0.439302, 0.000000, 0.000000, 0.000000], [0.006977, -0.071522, -0.001098, -0.105864, -0.055801, 0.989202, 0.044635, 0.000000, 0.000000, 0.000000], [0.323350, 0.606247, 0.612355, 0.065941, 0.138201, 0.040954, 0.357499, 0.000000, 0.000000, 0.000000], [0.499975, 0.205795, -0.255262, 0.619765, 0.020488, 0.101013, -0.497777, 0.000000, 0.000000, 0.000000], [-0.460841, 0.637763, -0.554286, 0.109386, 0.061701, 0.053349, 0.234591, 0.000000, 0.000000, 0.000000], [-0.027299, -0.227917, -0.057094, 0.124403, 0.956089, 0.045880, 0.111183, 0.000000, 0.000000, 0.000000], [-0.071489, -0.351145, 0.016132, 0.671192, -0.242385, 0.006142, 0.601697, 0.000000, 0.000000, 0.000000]]
fourier: [[74.459229, 76.470260, 77.771502, 78.274314, 356.398224], [0.792590, 0.823471, 0.832084, 0.839016, 28.090726], [36.857370, 37.767039, 38.395971, 38.759411, 176.456039], [56.966089, 58.471711, 59.461410, 59.889924, 284.179582], [52.480634, 53.979023, 54.910538, 55.157657, 239.809609], [3.117637, 3.170578, 3.219558, 3.282976, 38.563045], [8.155973, 8.327882, 8.461876, 8.581992, 83.332639]]
### 8
mean: [3.928219, -2.854838, -2.502656, 4.684026, 3.776814, 3.147955, -1.469515]
std: [4.407288, 3.288058, 1.977567, 5.283215, 4.358809, 3.702329, 2.390934]
pca: [[0.439674, 0.099878, -0.470238, 0.365252, 0.412464, -0.393039, -0.342889, 0.000000, 0.000000, 0.000000], [-0.328011, 0.648128, 0.383741, 0.211894, 0.205004, 0.154540, -0.462897, 0.000000, 0.000000, 0.000000], [-0.197283, -0.024569, -0.103889, 0.572951, 0.405225, 0.350723, 0.578097, 0.000000, 0.000000, 0.000000], [0.527057, 0.097361, 0.595044, 0.405336, -0.292042, -0.232233, 0.234812, 0.000000, 0.000000, 0.000000], [0.434838, 0.185541, 0.230852, -0.545055, 0.589038, 0.181464, 0.214984, 0.000000, 0.000000, 0.000000], [0.369345, -0.330435, 0.022173, 0.165974, -0.093218, 0.731642, -0.427045, 0.000000, 0.000000, 0.000000], [-0.238510, -0.645181, 0.461481, 0.067002, 0.427428, -0.276532, -0.224132, 0.000000, 0.000000, 0.000000]]
fourier: [[72.293693, 74.192223, 75.432723, 75.965147, 353.539645], [53.910431, 55.407268, 56.365447, 56.753427, 256.935410], [32.436838, 33.276868, 33.829115, 34.088887, 225.239057], [86.658139, 88.885095, 90.353531, 91.069916, 421.562343], [71.507894, 73.338244, 74.543505, 75.127329, 339.913234], [60.710578, 62.332522, 63.387793, 63.859461, 283.315994], [39.244937, 40.212756, 40.858083, 41.146119, 132.256396]]
### 10
mean: [-2.540136, 1.043796, 2.830308, 7.150612, 5.587539, -1.047709, -1.366308]
std: [2.879952, 1.557152, 3.545932, 8.497853, 6.630661, 0.880304, 1.510122]
pca: [[-0.241160, 0.451090, -0.578966, -0.124608, -0.589135, -0.201370, -0.000183, 0.000000, 0.000000, 0.000000], [0.130027, 0.675401, 0.606701, -0.142958, -0.100362, -0.005339, 0.358194, 0.000000, 0.000000, 0.000000], [0.296955, 0.491899, -0.409526, -0.155026, 0.622566, 0.198447, -0.226141, 0.000000, 0.000000, 0.000000], [0.711876, -0.282892, -0.185265, -0.460612, -0.220532, -0.023675, 0.342816, 0.000000, 0.000000, 0.000000], [0.555466, 0.134293, -0.016555, 0.751180, -0.207193, -0.175285, -0.187679, 0.000000, 0.000000, 0.000000], [-0.073745, 0.006225, -0.202108, 0.321144, -0.103758, 0.787760, 0.468198, 0.000000, 0.000000, 0.000000], [-0.126507, -0.016923, -0.231422, 0.245834, 0.391062, -0.517869, 0.669777, 0.000000, 0.000000, 0.000000]]
fourier: [[46.937925, 48.980880, 49.882489, 49.931926, 228.612284], [24.948976, 25.131557, 26.023567, 26.281833, 93.941604], [58.599767, 58.728383, 59.502518, 60.711519, 254.727698], [139.352362, 143.023595, 145.413922, 146.515123, 643.555008], [109.011224, 111.038684, 112.766479, 114.080536, 502.878519], [14.458182, 14.769945, 15.009395, 15.162695, 94.293853], [24.819212, 25.297645, 25.694172, 25.988153, 122.967686]]
### 12
mean: [-5.836555]
std: [7.834765]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[128.429596, 131.627816, 133.739860, 135.111623, 525.290034]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.683782547712326, "train_acc": 0.56, "val_loss": 0.6796405911445618, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6966440677642822, "train_acc": 0.56, "val_loss": 0.6750637292861938, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6904152929782867, "train_acc": 0.56, "val_loss": 0.6659414172172546, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6627091765403748, "train_acc": 0.56, "val_loss": 0.638515055179596, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6382313668727875, "train_acc": 0.48, "val_loss": 0.5331705212593079, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5534907281398773, "train_acc": 0.48, "val_loss": 0.4902958571910858, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.541690856218338, "train_acc": 0.8, "val_loss": 0.4567074477672577, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5247196853160858, "train_acc": 0.765, "val_loss": 0.42093512415885925, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4862005114555359, "train_acc": 0.795, "val_loss": 0.42172735929489136, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4483822286128998, "train_acc": 0.84, "val_loss": 0.3805916905403137, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.42372819781303406, "train_acc": 0.85, "val_loss": 0.366580992937088, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.42474110424518585, "train_acc": 0.85, "val_loss": 0.3418557643890381, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.40399324893951416, "train_acc": 0.85, "val_loss": 0.3083924353122711, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4095412641763687, "train_acc": 0.83, "val_loss": 0.2831772565841675, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6796405911445618, "final_val_loss": 0.638515055179596, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5331705212593079, "final_val_loss": 0.2831772565841675, "initial_val_acc": 0.58, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 13}, "improvement": 0.3400000000000001, "first_improvement_epoch": 3}}
|
97
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3153, "learning_rate": 0.09375952855635061, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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}
## Activation Signature
### 0
mean: [-5.464903, -1.113206, 3.003789, 2.946300, 3.311637, -1.091838, -1.592828, -0.999874]
std: [4.099074, 3.623223, 3.728192, 3.636441, 3.028322, 3.429113, 3.121336, 2.939024]
pca: [[0.065215, 0.593738, -0.539877, 0.262647, 0.124268, 0.114036, 0.106516, 0.492930, 0.000000, 0.000000], [0.525754, 0.011933, 0.070422, -0.359477, 0.646957, -0.277605, -0.269908, 0.144184, 0.000000, 0.000000], [0.063671, -0.579644, -0.306510, 0.051639, -0.258860, -0.500235, 0.102916, 0.485291, 0.000000, 0.000000], [0.241960, -0.524304, -0.085598, 0.269862, 0.289304, 0.693327, 0.103507, 0.106279, 0.000000, 0.000000], [-0.298786, 0.035181, 0.647658, 0.442167, 0.296708, -0.163058, 0.098864, 0.412454, 0.000000, 0.000000], [0.464680, 0.123144, 0.319871, 0.116217, -0.541847, 0.182586, -0.497481, 0.280465, 0.000000, 0.000000], [0.445172, 0.043278, -0.057375, 0.659629, 0.022435, -0.340940, 0.124156, -0.478945, 0.000000, 0.000000], [0.391600, 0.134819, 0.277900, -0.286656, -0.182105, 0.053169, 0.788557, 0.106118, 0.000000, 0.000000]]
fourier: [[62.225411, 68.005156, 79.951858, 83.507448, 491.841264], [51.532648, 53.596741, 58.075057, 73.536908, 100.188561], [61.729706, 63.768862, 68.602161, 84.442891, 270.341016], [61.090658, 63.449905, 78.369219, 80.295783, 265.167033], [46.668862, 49.457466, 51.292352, 51.691981, 298.047307], [50.391027, 58.858427, 59.404029, 60.210166, 98.265370], [48.183775, 51.712606, 51.740854, 54.146766, 143.354504], [47.147357, 47.576510, 51.008034, 52.174760, 89.988691]]
### 2
mean: [9.240709, -5.713853, 4.706964, -1.772293, 6.575627, 1.975303, 0.285228, 1.530479]
std: [12.187151, 5.945837, 8.932198, 1.426395, 12.466794, 4.412528, 4.532955, 3.627115]
pca: [[0.572515, 0.259233, 0.114994, -0.084900, 0.699284, -0.079392, 0.288798, 0.076738, 0.000000, 0.000000], [-0.253912, -0.591650, 0.271128, 0.274726, 0.194864, -0.161342, 0.557218, -0.248996, 0.000000, 0.000000], [0.416407, -0.201988, 0.383953, -0.041454, -0.410886, 0.551334, 0.253319, 0.315754, 0.000000, 0.000000], [-0.060160, -0.139862, 0.080985, 0.235595, 0.013738, -0.463986, -0.099616, 0.830278, 0.000000, 0.000000], [0.587617, -0.088941, 0.100651, 0.345424, -0.344002, -0.467053, -0.222771, -0.362278, 0.000000, 0.000000], [-0.172538, 0.594173, 0.089077, 0.720340, -0.082622, 0.171899, 0.232354, -0.000192, 0.000000, 0.000000], [-0.185512, 0.054552, 0.794337, -0.013186, 0.230523, 0.072114, -0.512366, -0.102978, 0.000000, 0.000000], [-0.145819, 0.398070, 0.332040, -0.470863, -0.354556, -0.442183, 0.407279, -0.034662, 0.000000, 0.000000]]
fourier: [[208.060702, 230.752974, 243.474717, 260.757163, 831.663914], [101.908725, 102.960763, 111.741403, 121.047770, 514.246762], [164.471995, 165.165619, 184.959484, 186.485324, 423.626786], [23.458447, 24.629920, 27.414901, 28.430795, 159.506407], [227.201027, 227.816217, 248.894442, 266.635145, 591.806388], [66.323630, 67.281646, 83.139162, 90.632152, 177.777326], [64.403514, 69.411840, 72.653649, 78.699329, 81.126144], [54.431612, 61.630444, 61.801056, 74.019138, 137.743064]]
### 4
mean: [5.919055, -10.325322, -7.113821, -11.546439, -13.665112, 14.186640, -4.934283, -14.321521]
std: [18.131281, 9.423209, 6.539423, 12.294981, 10.832178, 26.537714, 4.700121, 17.853867]
pca: [[0.428126, 0.508572, -0.194664, 0.194682, 0.004214, -0.346042, 0.542548, -0.261049, 0.000000, 0.000000], [-0.217829, 0.375647, -0.377457, -0.570385, 0.217187, -0.210836, -0.005627, 0.501971, 0.000000, 0.000000], [-0.150363, 0.272349, 0.802858, 0.034774, 0.373775, 0.022255, 0.258341, 0.224685, 0.000000, 0.000000], [-0.292972, 0.251728, -0.202427, 0.314529, 0.623883, -0.028545, -0.404240, -0.396788, 0.000000, 0.000000], [-0.243887, 0.549922, 0.234885, -0.225074, -0.564149, 0.022584, -0.305853, -0.346346, 0.000000, 0.000000], [0.636584, 0.329497, 0.018083, 0.142217, 0.045020, 0.383398, -0.447282, 0.341405, 0.000000, 0.000000], [-0.111447, 0.115464, -0.194097, -0.206958, 0.106709, 0.820631, 0.404498, -0.212841, 0.000000, 0.000000], [-0.428575, 0.195930, -0.202245, 0.650313, -0.303640, 0.116418, 0.135032, 0.436051, 0.000000, 0.000000]]
fourier: [[323.903437, 349.882212, 357.637624, 375.270151, 532.714867], [170.782153, 173.947175, 182.192577, 201.582789, 929.278988], [116.642119, 117.577136, 123.145409, 140.525477, 640.243800], [220.697058, 225.920063, 237.761263, 267.651904, 1039.179485], [193.373087, 194.456545, 214.178319, 228.958434, 1229.860138], [485.875504, 488.277156, 524.045185, 564.980305, 1276.797635], [86.502135, 87.056916, 90.391024, 101.426376, 444.085468], [310.385277, 331.212268, 350.121893, 388.302858, 1288.936843]]
### 6
mean: [-1.220149, 12.859892, -7.770838, -18.694798, 17.780603, -11.858460, -11.072454, -3.345917]
std: [1.002234, 17.584551, 9.699589, 23.779966, 23.425940, 15.757751, 14.366632, 4.323661]
pca: [[0.022345, 0.386049, 0.082479, -0.300206, 0.142881, 0.793810, 0.266699, -0.178499, 0.000000, 0.000000], [-0.393999, -0.217871, 0.309012, 0.014725, -0.081630, -0.087256, 0.773141, 0.299279, 0.000000, 0.000000], [0.217330, -0.015527, 0.113067, 0.351834, 0.845221, -0.142710, 0.204448, -0.198473, 0.000000, 0.000000], [0.532806, -0.583292, 0.166631, -0.387469, -0.143899, -0.014942, 0.178545, -0.381028, 0.000000, 0.000000], [-0.524884, -0.018700, 0.579044, -0.061228, 0.016695, -0.080890, -0.303261, -0.535086, 0.000000, 0.000000], [0.353068, 0.171588, 0.677362, -0.155116, 0.068843, -0.029550, -0.246411, 0.544693, 0.000000, 0.000000], [0.321896, 0.285397, 0.241870, 0.644804, -0.481555, 0.033288, 0.191546, -0.266392, 0.000000, 0.000000], [0.096816, 0.593114, -0.067430, -0.438358, -0.030047, -0.577181, 0.260908, -0.200062, 0.000000, 0.000000]]
fourier: [[16.478786, 17.675315, 18.384329, 20.800962, 109.813376], [296.920064, 326.719396, 326.972034, 375.783493, 1157.390210], [164.031277, 180.355516, 180.585505, 207.422812, 699.375403], [402.950022, 442.310751, 444.069258, 509.315520, 1682.531770], [395.987404, 435.386171, 436.200295, 500.981482, 1600.254280], [266.187439, 292.866446, 292.956501, 336.673352, 1067.261528], [242.456062, 266.797504, 266.967077, 306.818051, 996.520856], [72.114930, 79.110426, 80.047025, 91.605756, 301.132528]]
### 8
mean: [-2.170571, -6.286812, -8.142839, -3.010072, -8.901955, 16.353880, -0.637299, -5.581621]
std: [2.574960, 7.303777, 10.258850, 3.548793, 11.803438, 21.894115, 0.368486, 6.648093]
pca: [[-0.088761, 0.647536, 0.298481, -0.051043, -0.381789, 0.029286, 0.575665, 0.055780, 0.000000, 0.000000], [-0.251881, -0.280681, 0.620681, 0.110325, -0.549496, 0.004967, -0.396286, -0.036667, 0.000000, 0.000000], [-0.353790, 0.445565, -0.062390, 0.622805, 0.220123, -0.052991, -0.351575, 0.331148, 0.000000, 0.000000], [-0.122376, 0.372164, 0.349670, -0.618102, 0.417592, -0.109484, -0.381117, -0.102855, 0.000000, 0.000000], [-0.407061, -0.263668, -0.073467, -0.362334, -0.000753, 0.084108, 0.160246, 0.771585, 0.000000, 0.000000], [0.755057, 0.017523, 0.381078, 0.108789, 0.111326, -0.000993, -0.066348, 0.505697, 0.000000, 0.000000], [-0.012707, 0.044079, 0.072148, 0.019600, 0.119359, 0.985002, -0.051166, -0.072195, 0.000000, 0.000000], [-0.229268, -0.305139, 0.493638, 0.267922, 0.550285, -0.083776, 0.458272, -0.137916, 0.000000, 0.000000]]
fourier: [[43.571806, 47.865688, 48.247937, 55.252853, 195.351395], [123.434251, 135.703843, 135.763444, 156.030497, 565.813209], [173.430922, 190.696874, 191.020549, 219.394509, 732.855521], [60.020461, 65.962673, 66.230318, 75.988412, 270.906510], [199.479584, 219.348502, 219.419902, 252.179345, 801.175832], [370.021756, 406.954773, 407.078419, 467.840539, 1471.849129], [6.233764, 6.847541, 6.885068, 7.894886, 57.356931], [112.352896, 123.510140, 123.571642, 142.017263, 502.345898]]
### 10
mean: [4.216267, -3.469825, 8.331717, 3.029135, -0.348410, -2.108658, -5.052708, -5.630104]
std: [6.130157, 4.518395, 11.664774, 4.411831, 0.452827, 2.524156, 6.695303, 7.121378]
pca: [[0.345043, 0.537119, 0.103231, -0.241480, -0.164904, 0.584417, 0.361540, 0.155019, 0.000000, 0.000000], [-0.254323, -0.271715, 0.352079, 0.031811, -0.035369, 0.380910, -0.356529, 0.680487, 0.000000, 0.000000], [0.656565, -0.505218, -0.409967, 0.022444, -0.002431, -0.027825, 0.150285, 0.348904, 0.000000, 0.000000], [0.248325, 0.171631, 0.542417, 0.414490, 0.411594, -0.359092, 0.295834, 0.238716, 0.000000, 0.000000], [-0.025488, -0.021404, -0.060894, -0.603016, 0.790254, 0.052352, -0.062328, 0.020737, 0.000000, 0.000000], [-0.142075, 0.020922, -0.357304, 0.625363, 0.418147, 0.515661, 0.039438, -0.135363, 0.000000, 0.000000], [-0.376853, 0.383334, -0.503726, -0.000996, -0.018625, -0.321076, 0.204290, 0.558681, 0.000000, 0.000000], [-0.400835, -0.452913, 0.134094, -0.116884, -0.049452, 0.109112, 0.764787, -0.057519, 0.000000, 0.000000]]
fourier: [[103.616274, 113.921453, 113.945847, 130.949480, 379.464055], [76.374833, 83.970860, 83.983575, 96.520946, 312.284252], [197.168296, 216.777878, 216.818208, 249.178660, 749.854580], [74.574869, 81.991994, 82.000410, 94.245432, 272.622182], [7.653248, 8.414335, 8.418486, 9.672563, 31.356865], [42.663584, 46.906565, 46.921246, 53.918799, 189.779201], [113.168720, 124.423928, 124.450806, 143.021829, 454.743777], [120.372444, 132.344276, 132.366949, 152.124727, 506.709364]]
### 12
mean: [-4.141198]
std: [6.732815]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[113.993765, 124.700169, 125.058696, 143.541540, 372.707868]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.138665
]
],
"network.8.bias": [
-0.1418,
-0.746755,
-0.332585,
-0.267924,
0.029508,
-0.177767,
-0.349462,
-0.532996
],
"network.10.weight": [
[
0.058118,
0.486867,
0.150167,
0.024199,
0.101228,
0.280666,
-0.301016,
0.235278
],
[
-0.075758,
0.038293,
0.270912,
-0.246458,
0.066369,
-0.20687,
-0.098871,
0.305063
],
[
0.155889,
0.169953,
0.377206,
-0.092289,
0.029519,
0.534064,
0.057489,
0.165792
],
[
-0.263637,
0.304692,
0.055733,
-0.176092,
-0.171848,
0.20199,
-0.301772,
0.265114
],
[
0.107564,
-0.314612,
-0.246066,
0.16176,
-0.070373,
-0.020733,
0.140617,
-0.238411
],
[
0.31041,
0.210162,
-0.074565,
0.297651,
-0.165847,
-0.115569,
-0.307952,
0.107705
],
[
0.04185,
0.252412,
-0.349461,
0.101985,
-0.116916,
-0.306541,
0.116585,
-0.203029
],
[
0.039274,
0.189525,
0.302032,
0.039347,
0.034091,
-0.326047,
-0.004839,
-0.172949
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],
"network.10.bias": [
-0.393331,
-0.072295,
-0.439548,
-0.288192,
-0.007861,
-0.210522,
-0.018141,
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],
"network.12.weight": [
[
-0.203876,
-0.027236,
-0.409901,
-0.179714,
-0.066776,
-0.032313,
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0.337983
]
],
"network.12.bias": [
0.800803
]
}
## Activation Signature
### 0
mean: [-5.464903, -1.113206, 3.003789, 2.946300, 3.311637, -1.091838, -1.592828, -0.999874]
std: [4.099074, 3.623223, 3.728192, 3.636441, 3.028322, 3.429113, 3.121336, 2.939024]
pca: [[0.065215, 0.593738, -0.539877, 0.262647, 0.124268, 0.114036, 0.106516, 0.492930, 0.000000, 0.000000], [0.525754, 0.011933, 0.070422, -0.359477, 0.646957, -0.277605, -0.269908, 0.144184, 0.000000, 0.000000], [0.063671, -0.579644, -0.306510, 0.051639, -0.258860, -0.500235, 0.102916, 0.485291, 0.000000, 0.000000], [0.241960, -0.524304, -0.085598, 0.269862, 0.289304, 0.693327, 0.103507, 0.106279, 0.000000, 0.000000], [-0.298786, 0.035181, 0.647658, 0.442167, 0.296708, -0.163058, 0.098864, 0.412454, 0.000000, 0.000000], [0.464680, 0.123144, 0.319871, 0.116217, -0.541847, 0.182586, -0.497481, 0.280465, 0.000000, 0.000000], [0.445172, 0.043278, -0.057375, 0.659629, 0.022435, -0.340940, 0.124156, -0.478945, 0.000000, 0.000000], [0.391600, 0.134819, 0.277900, -0.286656, -0.182105, 0.053169, 0.788557, 0.106118, 0.000000, 0.000000]]
fourier: [[62.225411, 68.005156, 79.951858, 83.507448, 491.841264], [51.532648, 53.596741, 58.075057, 73.536908, 100.188561], [61.729706, 63.768862, 68.602161, 84.442891, 270.341016], [61.090658, 63.449905, 78.369219, 80.295783, 265.167033], [46.668862, 49.457466, 51.292352, 51.691981, 298.047307], [50.391027, 58.858427, 59.404029, 60.210166, 98.265370], [48.183775, 51.712606, 51.740854, 54.146766, 143.354504], [47.147357, 47.576510, 51.008034, 52.174760, 89.988691]]
### 2
mean: [9.240709, -5.713853, 4.706964, -1.772293, 6.575627, 1.975303, 0.285228, 1.530479]
std: [12.187151, 5.945837, 8.932198, 1.426395, 12.466794, 4.412528, 4.532955, 3.627115]
pca: [[0.572515, 0.259233, 0.114994, -0.084900, 0.699284, -0.079392, 0.288798, 0.076738, 0.000000, 0.000000], [-0.253912, -0.591650, 0.271128, 0.274726, 0.194864, -0.161342, 0.557218, -0.248996, 0.000000, 0.000000], [0.416407, -0.201988, 0.383953, -0.041454, -0.410886, 0.551334, 0.253319, 0.315754, 0.000000, 0.000000], [-0.060160, -0.139862, 0.080985, 0.235595, 0.013738, -0.463986, -0.099616, 0.830278, 0.000000, 0.000000], [0.587617, -0.088941, 0.100651, 0.345424, -0.344002, -0.467053, -0.222771, -0.362278, 0.000000, 0.000000], [-0.172538, 0.594173, 0.089077, 0.720340, -0.082622, 0.171899, 0.232354, -0.000192, 0.000000, 0.000000], [-0.185512, 0.054552, 0.794337, -0.013186, 0.230523, 0.072114, -0.512366, -0.102978, 0.000000, 0.000000], [-0.145819, 0.398070, 0.332040, -0.470863, -0.354556, -0.442183, 0.407279, -0.034662, 0.000000, 0.000000]]
fourier: [[208.060702, 230.752974, 243.474717, 260.757163, 831.663914], [101.908725, 102.960763, 111.741403, 121.047770, 514.246762], [164.471995, 165.165619, 184.959484, 186.485324, 423.626786], [23.458447, 24.629920, 27.414901, 28.430795, 159.506407], [227.201027, 227.816217, 248.894442, 266.635145, 591.806388], [66.323630, 67.281646, 83.139162, 90.632152, 177.777326], [64.403514, 69.411840, 72.653649, 78.699329, 81.126144], [54.431612, 61.630444, 61.801056, 74.019138, 137.743064]]
### 4
mean: [5.919055, -10.325322, -7.113821, -11.546439, -13.665112, 14.186640, -4.934283, -14.321521]
std: [18.131281, 9.423209, 6.539423, 12.294981, 10.832178, 26.537714, 4.700121, 17.853867]
pca: [[0.428126, 0.508572, -0.194664, 0.194682, 0.004214, -0.346042, 0.542548, -0.261049, 0.000000, 0.000000], [-0.217829, 0.375647, -0.377457, -0.570385, 0.217187, -0.210836, -0.005627, 0.501971, 0.000000, 0.000000], [-0.150363, 0.272349, 0.802858, 0.034774, 0.373775, 0.022255, 0.258341, 0.224685, 0.000000, 0.000000], [-0.292972, 0.251728, -0.202427, 0.314529, 0.623883, -0.028545, -0.404240, -0.396788, 0.000000, 0.000000], [-0.243887, 0.549922, 0.234885, -0.225074, -0.564149, 0.022584, -0.305853, -0.346346, 0.000000, 0.000000], [0.636584, 0.329497, 0.018083, 0.142217, 0.045020, 0.383398, -0.447282, 0.341405, 0.000000, 0.000000], [-0.111447, 0.115464, -0.194097, -0.206958, 0.106709, 0.820631, 0.404498, -0.212841, 0.000000, 0.000000], [-0.428575, 0.195930, -0.202245, 0.650313, -0.303640, 0.116418, 0.135032, 0.436051, 0.000000, 0.000000]]
fourier: [[323.903437, 349.882212, 357.637624, 375.270151, 532.714867], [170.782153, 173.947175, 182.192577, 201.582789, 929.278988], [116.642119, 117.577136, 123.145409, 140.525477, 640.243800], [220.697058, 225.920063, 237.761263, 267.651904, 1039.179485], [193.373087, 194.456545, 214.178319, 228.958434, 1229.860138], [485.875504, 488.277156, 524.045185, 564.980305, 1276.797635], [86.502135, 87.056916, 90.391024, 101.426376, 444.085468], [310.385277, 331.212268, 350.121893, 388.302858, 1288.936843]]
### 6
mean: [-1.220149, 12.859892, -7.770838, -18.694798, 17.780603, -11.858460, -11.072454, -3.345917]
std: [1.002234, 17.584551, 9.699589, 23.779966, 23.425940, 15.757751, 14.366632, 4.323661]
pca: [[0.022345, 0.386049, 0.082479, -0.300206, 0.142881, 0.793810, 0.266699, -0.178499, 0.000000, 0.000000], [-0.393999, -0.217871, 0.309012, 0.014725, -0.081630, -0.087256, 0.773141, 0.299279, 0.000000, 0.000000], [0.217330, -0.015527, 0.113067, 0.351834, 0.845221, -0.142710, 0.204448, -0.198473, 0.000000, 0.000000], [0.532806, -0.583292, 0.166631, -0.387469, -0.143899, -0.014942, 0.178545, -0.381028, 0.000000, 0.000000], [-0.524884, -0.018700, 0.579044, -0.061228, 0.016695, -0.080890, -0.303261, -0.535086, 0.000000, 0.000000], [0.353068, 0.171588, 0.677362, -0.155116, 0.068843, -0.029550, -0.246411, 0.544693, 0.000000, 0.000000], [0.321896, 0.285397, 0.241870, 0.644804, -0.481555, 0.033288, 0.191546, -0.266392, 0.000000, 0.000000], [0.096816, 0.593114, -0.067430, -0.438358, -0.030047, -0.577181, 0.260908, -0.200062, 0.000000, 0.000000]]
fourier: [[16.478786, 17.675315, 18.384329, 20.800962, 109.813376], [296.920064, 326.719396, 326.972034, 375.783493, 1157.390210], [164.031277, 180.355516, 180.585505, 207.422812, 699.375403], [402.950022, 442.310751, 444.069258, 509.315520, 1682.531770], [395.987404, 435.386171, 436.200295, 500.981482, 1600.254280], [266.187439, 292.866446, 292.956501, 336.673352, 1067.261528], [242.456062, 266.797504, 266.967077, 306.818051, 996.520856], [72.114930, 79.110426, 80.047025, 91.605756, 301.132528]]
### 8
mean: [-2.170571, -6.286812, -8.142839, -3.010072, -8.901955, 16.353880, -0.637299, -5.581621]
std: [2.574960, 7.303777, 10.258850, 3.548793, 11.803438, 21.894115, 0.368486, 6.648093]
pca: [[-0.088761, 0.647536, 0.298481, -0.051043, -0.381789, 0.029286, 0.575665, 0.055780, 0.000000, 0.000000], [-0.251881, -0.280681, 0.620681, 0.110325, -0.549496, 0.004967, -0.396286, -0.036667, 0.000000, 0.000000], [-0.353790, 0.445565, -0.062390, 0.622805, 0.220123, -0.052991, -0.351575, 0.331148, 0.000000, 0.000000], [-0.122376, 0.372164, 0.349670, -0.618102, 0.417592, -0.109484, -0.381117, -0.102855, 0.000000, 0.000000], [-0.407061, -0.263668, -0.073467, -0.362334, -0.000753, 0.084108, 0.160246, 0.771585, 0.000000, 0.000000], [0.755057, 0.017523, 0.381078, 0.108789, 0.111326, -0.000993, -0.066348, 0.505697, 0.000000, 0.000000], [-0.012707, 0.044079, 0.072148, 0.019600, 0.119359, 0.985002, -0.051166, -0.072195, 0.000000, 0.000000], [-0.229268, -0.305139, 0.493638, 0.267922, 0.550285, -0.083776, 0.458272, -0.137916, 0.000000, 0.000000]]
fourier: [[43.571806, 47.865688, 48.247937, 55.252853, 195.351395], [123.434251, 135.703843, 135.763444, 156.030497, 565.813209], [173.430922, 190.696874, 191.020549, 219.394509, 732.855521], [60.020461, 65.962673, 66.230318, 75.988412, 270.906510], [199.479584, 219.348502, 219.419902, 252.179345, 801.175832], [370.021756, 406.954773, 407.078419, 467.840539, 1471.849129], [6.233764, 6.847541, 6.885068, 7.894886, 57.356931], [112.352896, 123.510140, 123.571642, 142.017263, 502.345898]]
### 10
mean: [4.216267, -3.469825, 8.331717, 3.029135, -0.348410, -2.108658, -5.052708, -5.630104]
std: [6.130157, 4.518395, 11.664774, 4.411831, 0.452827, 2.524156, 6.695303, 7.121378]
pca: [[0.345043, 0.537119, 0.103231, -0.241480, -0.164904, 0.584417, 0.361540, 0.155019, 0.000000, 0.000000], [-0.254323, -0.271715, 0.352079, 0.031811, -0.035369, 0.380910, -0.356529, 0.680487, 0.000000, 0.000000], [0.656565, -0.505218, -0.409967, 0.022444, -0.002431, -0.027825, 0.150285, 0.348904, 0.000000, 0.000000], [0.248325, 0.171631, 0.542417, 0.414490, 0.411594, -0.359092, 0.295834, 0.238716, 0.000000, 0.000000], [-0.025488, -0.021404, -0.060894, -0.603016, 0.790254, 0.052352, -0.062328, 0.020737, 0.000000, 0.000000], [-0.142075, 0.020922, -0.357304, 0.625363, 0.418147, 0.515661, 0.039438, -0.135363, 0.000000, 0.000000], [-0.376853, 0.383334, -0.503726, -0.000996, -0.018625, -0.321076, 0.204290, 0.558681, 0.000000, 0.000000], [-0.400835, -0.452913, 0.134094, -0.116884, -0.049452, 0.109112, 0.764787, -0.057519, 0.000000, 0.000000]]
fourier: [[103.616274, 113.921453, 113.945847, 130.949480, 379.464055], [76.374833, 83.970860, 83.983575, 96.520946, 312.284252], [197.168296, 216.777878, 216.818208, 249.178660, 749.854580], [74.574869, 81.991994, 82.000410, 94.245432, 272.622182], [7.653248, 8.414335, 8.418486, 9.672563, 31.356865], [42.663584, 46.906565, 46.921246, 53.918799, 189.779201], [113.168720, 124.423928, 124.450806, 143.021829, 454.743777], [120.372444, 132.344276, 132.366949, 152.124727, 506.709364]]
### 12
mean: [-4.141198]
std: [6.732815]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[113.993765, 124.700169, 125.058696, 143.541540, 372.707868]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -5.464902877807617, "std": 4.099074363708496, "pca": [0.06521539390087128, 0.5937376022338867, -0.5398765802383423, 0.26264721155166626, 0.12426763772964478, 0.11403591930866241, 0.10651553422212601, 0.49293020367622375, 0.0, 0.0], "fourier": [62.22541110559816, 68.00515602097639, 79.95185817661022, 83.50744795835789, 491.84126361692324]}, "1": {"mean": -1.113206148147583, "std": 3.623223066329956, "pca": [0.525754451751709, 0.011933350935578346, 0.07042189687490463, -0.35947707295417786, 0.6469568014144897, -0.2776049077510834, -0.269907683134079, 0.1441841423511505, 0.0, 0.0], "fourier": [51.53264753656852, 53.59674117807594, 58.075056971099045, 73.53690802484014, 100.18856091797352]}, "2": {"mean": 3.003788948059082, "std": 3.72819185256958, "pca": [0.0636710524559021, -0.5796444416046143, -0.30650952458381653, 0.051639117300510406, -0.2588604986667633, -0.500235378742218, 0.1029156967997551, 0.4852914810180664, 0.0, 0.0], "fourier": [61.72970553848606, 63.76886213146133, 68.6021611466688, 84.44289056907786, 270.34101647138596]}, "3": {"mean": 2.9463002681732178, "std": 3.636441469192505, "pca": [0.24196045100688934, -0.5243035554885864, -0.08559784293174744, 0.26986199617385864, 0.2893035411834717, 0.6933274269104004, 0.10350729525089264, 0.1062786802649498, 0.0, 0.0], "fourier": [61.090658287051, 63.44990488005022, 78.36921900008254, 80.29578335613922, 265.167032957077]}, "4": {"mean": 3.3116366863250732, "std": 3.0283217430114746, "pca": [-0.29878613352775574, 0.035181235522031784, 0.6476579904556274, 0.44216740131378174, 0.2967078685760498, -0.16305844485759735, 0.09886445105075836, 0.41245415806770325, 0.0, 0.0], "fourier": [46.66886171025711, 49.457466354367604, 51.29235200319959, 51.69198090539731, 298.0473074913025]}, "5": {"mean": -1.0918375253677368, "std": 3.4291131496429443, "pca": [0.46468034386634827, 0.12314392626285553, 0.3198712170124054, 0.1162170022726059, -0.5418469905853271, 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.626787, -0.889312, -0.958047, 0.020787, -0.902009], [-0.846895, -0.61695, -0.031592, -0.372011, 1.631831], [1.444694, 0.07663, -0.285974, -0.245831, 1.091934], [0.896501, -0.162941, -0.096381, -0.037756, 1.596986], [-0.321349, 0.603703, 0.931563, 0.731499, -0.864475], [-1.356665, 0.195557, -0.243848, -0.278222, 1.477474], [-0.582173, -0.417628, -0.647276, 0.037799, 1.398882], [-1.235373, 0.033782, -0.00015, -0.366286, 1.148486]], "network.0.bias": [0.004777, -0.083915, 0.844132, 0.440248, 0.163052, -0.476105, -0.561593, -0.154752], "network.2.weight": [[-0.187948, 0.914286, 1.511792, 0.97059, -0.389523, 0.458577, 1.031435, 0.867814], [-0.297818, -0.97377, -0.678019, -0.104941, -0.295415, -0.938763, -0.651413, -0.23558], [-0.474973, 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-0.204575, -0.006585, -0.685434, -0.708941, -0.298024, -0.275355], [1.174859, -0.493338, 0.409243, -0.094645, 0.570213, -0.689716, -0.637363, -0.671122], [-0.17662, -0.369551, -0.217559, -0.1051, -0.114685, -0.208908, -0.179136, 0.203311], [-0.979151, 0.184331, -0.706895, -0.23867, -0.100473, -0.830663, 0.55889, 0.588177]], "network.4.bias": [-0.06007, -0.044589, -0.080118, -0.364128, -0.590062, 0.241982, -0.495734, 0.284569], "network.6.weight": [[-0.13934, -0.308205, -0.092561, -0.277093, 0.286648, 0.041159, -0.547652, 0.01178], [0.332055, 0.005918, -0.082368, -0.217991, 0.130073, 0.554244, -0.109844, -0.35166], [-0.134226, -0.119081, -0.190176, 0.047651, -0.033195, -0.335464, -0.038213, -0.168899], [-0.158272, 0.519424, -0.512808, -0.758026, 0.034574, -0.925071, 0.053015, -0.079498], [0.353526, 0.065637, -0.499309, -0.158498, 0.275965, 0.791942, 0.183523, -0.379782], [-0.280232, -0.01271, 0.667706, 0.029414, -0.501773, -0.507657, 0.044062, -0.448252], [-0.300523, -0.003792, 0.751216, -0.199602, -0.545791, -0.435471, 0.433465, -0.081952], [-0.256778, 0.020156, -0.174051, -0.236685, 0.144126, -0.030602, -0.275677, 0.162399]], "network.6.bias": [-0.516136, -0.457837, -0.391068, -0.541269, -0.002345, 0.110028, -0.19142, -0.151041], "network.8.weight": [[-0.057228, 0.332229, 0.073358, 0.316957, -0.357482, -0.101428, -0.413569, 0.126131], [0.023226, -0.2117, -0.316204, -0.152967, -0.154909, -0.678268, -0.632977, -0.255912], [-0.206992, 0.054004, 0.337925, -0.294443, -0.47841, -0.117161, -0.077733, -0.215216], [0.228357, 0.171525, -0.083359, -0.094571, -0.279522, -0.215949, 0.047006, -0.024072], [-0.120499, -0.315261, -0.158613, 0.24782, -0.269798, -0.572565, -0.593069, -0.258485], [0.349892, 0.482912, 0.108741, -0.03565, 0.575172, -0.018212, 0.116167, 0.35022], [-0.218153, 0.025524, 0.176049, -0.278457, -0.034801, -0.051801, -0.155511, 0.326797], [0.195893, -0.1993, -0.081911, -0.153246, -0.13623, -0.757506, -0.746028, -0.138665]], "network.8.bias": [-0.1418, -0.746755, -0.332585, -0.267924, 0.029508, -0.177767, -0.349462, -0.532996], "network.10.weight": [[0.058118, 0.486867, 0.150167, 0.024199, 0.101228, 0.280666, -0.301016, 0.235278], [-0.075758, 0.038293, 0.270912, -0.246458, 0.066369, -0.20687, -0.098871, 0.305063], [0.155889, 0.169953, 0.377206, -0.092289, 0.029519, 0.534064, 0.057489, 0.165792], [-0.263637, 0.304692, 0.055733, -0.176092, -0.171848, 0.20199, -0.301772, 0.265114], [0.107564, -0.314612, -0.246066, 0.16176, -0.070373, -0.020733, 0.140617, -0.238411], [0.31041, 0.210162, -0.074565, 0.297651, -0.165847, -0.115569, -0.307952, 0.107705], [0.04185, 0.252412, -0.349461, 0.101985, -0.116916, -0.306541, 0.116585, -0.203029], [0.039274, 0.189525, 0.302032, 0.039347, 0.034091, -0.326047, -0.004839, -0.172949]], "network.10.bias": [-0.393331, -0.072295, -0.439548, -0.288192, -0.007861, -0.210522, -0.018141, -0.275257], "network.12.weight": [[-0.203876, -0.027236, -0.409901, -0.179714, -0.066776, -0.032313, -0.333177, 0.337983]], "network.12.bias": [0.800803]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6800411641597748, "train_acc": 0.58, "val_loss": 0.7504766583442688, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6803210973739624, "train_acc": 0.58, "val_loss": 0.6691428422927856, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7926830351352692, "train_acc": 0.5, "val_loss": 0.6336934566497803, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6590651869773865, "train_acc": 0.5, "val_loss": 0.6524699330329895, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6607145369052887, "train_acc": 0.69, "val_loss": 0.6167950630187988, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.615219235420227, "train_acc": 0.76, "val_loss": 0.5278139114379883, "val_acc": 0.6}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5427378118038177, "train_acc": 0.635, "val_loss": 0.4261833429336548, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4584326148033142, "train_acc": 0.8, "val_loss": 0.38553863763809204, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.43408460915088654, "train_acc": 0.815, "val_loss": 0.3938204050064087, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.47198204696178436, "train_acc": 0.815, "val_loss": 0.39638248085975647, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.45741522312164307, "train_acc": 0.805, "val_loss": 0.3174755573272705, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.43486902117729187, "train_acc": 0.81, "val_loss": 0.31750357151031494, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7504766583442688, "final_val_loss": 0.6691428422927856, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6336934566497803, "final_val_loss": 0.31750357151031494, "initial_val_acc": 0.5, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 10}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
98
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.4, "improved_accuracy": 0.96, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8537, "learning_rate": 0.040863597474926766, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.313373,
-0.031611,
-0.075497,
-0.085809
],
[
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-0.034255,
-0.422944,
-0.519693
],
[
0.648712,
0.813121,
0.634055,
0.010509,
-0.052994
],
[
-0.686772,
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-0.027322,
0.011673,
0.517394
],
[
0.205285,
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-0.390826,
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0.104367
]
],
"network.0.bias": [
-0.038396,
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-0.431838
],
"network.2.weight": [
[
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],
[
-0.174641,
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-0.459722,
0.662456,
-0.266275
],
[
-0.396292,
0.165513,
0.589904,
-0.175349,
0.755895
],
[
-0.27652,
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-0.102635,
0.772408,
-0.396162
],
[
-0.470317,
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0.36153
]
],
"network.2.bias": [
-0.211758,
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],
"network.4.weight": [
[
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],
[
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0.484894,
-0.214697,
0.618502
],
[
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0.516461,
-0.282173,
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0.139243
],
[
0.020482,
0.108063,
-0.791477,
0.499672,
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],
[
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-0.16243,
0.321476
]
],
"network.4.bias": [
0.626927,
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-0.023534,
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0.273746
],
"network.6.weight": [
[
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],
[
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0.280455,
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],
[
0.192317,
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0.28272,
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],
[
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],
[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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],
[
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],
[
1.015004,
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],
[
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[
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]
],
"network.8.bias": [
0.005505,
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],
"network.10.weight": [
[
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],
[
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],
[
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],
[
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[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.499981, -2.283047, 3.943610, -1.190119, 1.301846]
std: [1.312603, 1.590927, 2.930919, 2.622073, 1.952890]
pca: [[-0.292276, 0.064102, 0.120866, 0.905728, -0.274798, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190913, 0.717206, 0.356737, 0.012128, 0.567238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.653763, 0.218144, -0.559978, 0.357858, 0.288737, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.574472, -0.357364, -0.476591, 0.072407, 0.556678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.347422, -0.553363, 0.563396, 0.214952, 0.457676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.495698, 20.851909, 22.293771, 24.991698, 134.998328], [27.326568, 28.139815, 28.342595, 28.667621, 205.474249], [47.579797, 50.776214, 51.146086, 52.219767, 354.924823], [42.686276, 43.371144, 47.102557, 48.548683, 107.110736], [30.580634, 38.320613, 38.681977, 39.165506, 117.166153]]
### 2
mean: [-0.284617, -1.656228, 3.256537, -0.506446, 3.260784]
std: [0.409000, 1.929893, 2.795485, 1.194034, 2.283022]
pca: [[0.013439, 0.625775, 0.152069, 0.556369, -0.524932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453351, -0.411913, -0.132406, 0.740236, 0.243559, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.657453, -0.575231, -0.002445, 0.224242, -0.431942, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266237, -0.245549, 0.918188, -0.092250, -0.131318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539597, 0.218056, 0.340982, 0.289328, 0.679196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.409000, 6.903811, 6.968560, 7.087782, 25.615528], [31.600409, 31.944085, 33.286918, 37.687278, 149.060497], [44.620448, 46.790786, 53.020547, 56.354762, 293.088389], [19.307273, 20.526418, 20.557060, 24.639572, 45.580165], [37.391997, 37.932141, 41.104563, 44.651811, 293.470566]]
### 4
mean: [-3.579608, 4.017555, -0.407047, -4.607812, 2.292516]
std: [3.809072, 2.898821, 0.549956, 3.897410, 1.735554]
pca: [[0.592028, -0.446908, 0.664021, 0.055910, -0.075671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.450679, -0.006780, 0.442977, 0.374943, 0.678257, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.083916, -0.439882, -0.445331, 0.770783, -0.083880, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605587, 0.669764, -0.080920, 0.301669, 0.295174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269468, 0.397678, 0.397467, 0.413740, -0.663384, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.334173, 63.073427, 68.318205, 78.192827, 322.164699], [46.833173, 48.309494, 52.214253, 59.352247, 361.579999], [8.935033, 9.347288, 10.315039, 12.125224, 36.634211], [63.316469, 64.850048, 71.372277, 78.578942, 414.703100], [27.552795, 29.016184, 30.549645, 36.454773, 206.326419]]
### 6
mean: [-3.538570, -0.433919, -1.440110, -1.407292, 3.672400]
std: [3.170827, 0.730195, 1.218764, 0.861383, 2.713700]
pca: [[0.706971, -0.246555, 0.587517, 0.166196, 0.258078, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.159025, 0.589917, -0.264491, -0.024367, 0.745761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271745, 0.039556, -0.446211, 0.822690, -0.220609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.186739, 0.758629, 0.338277, -0.054587, -0.521727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.605133, 0.118848, 0.520896, 0.540358, 0.237422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.641071, 55.615848, 56.806982, 67.533325, 318.471323], [11.551005, 12.030863, 15.122828, 15.839195, 39.052672], [19.873903, 20.989295, 22.313638, 26.020985, 129.609914], [13.557619, 13.940139, 17.913467, 18.657706, 126.656273], [44.489302, 47.385524, 49.479149, 57.836619, 330.516028]]
### 8
mean: [1.405508, 1.919012, -1.423897, 1.895654, 2.256546]
std: [1.217779, 1.555251, 1.555365, 1.586289, 1.820036]
pca: [[0.349845, 0.321061, 0.704093, 0.080856, 0.521770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.449935, -0.139419, 0.296487, -0.651953, -0.514950, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438571, 0.749635, 0.210127, -0.012969, -0.448756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459313, -0.028985, 0.062781, 0.738168, -0.489242, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.521397, 0.560972, -0.606839, -0.152836, 0.147794, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.374758, 21.017214, 24.153928, 25.917348, 126.495741], [24.554004, 25.664191, 32.766601, 33.332294, 172.711058], [25.318920, 25.436610, 32.678818, 34.017491, 128.150719], [25.162532, 26.031099, 32.904735, 34.155330, 170.608827], [30.574527, 31.435075, 35.576051, 38.852794, 203.089156]]
### 10
mean: [2.662107, 2.397466, 0.574627, 4.205497, -1.456844]
std: [2.050834, 1.956605, 0.964663, 3.270591, 1.416822]
pca: [[0.441920, 0.229871, 0.792170, 0.333195, 0.115383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.421692, 0.205663, -0.488589, 0.217031, 0.702892, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.199557, -0.637340, -0.172297, 0.675213, -0.261489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.705378, 0.200516, -0.244640, -0.298409, -0.559767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299169, 0.677092, -0.210267, 0.544902, -0.333038, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.341616, 36.742232, 38.160549, 43.024081, 239.589603], [33.918192, 35.019840, 37.040691, 41.094904, 215.771970], [15.306595, 16.221201, 20.361604, 20.607469, 51.716426], [56.321840, 58.254136, 62.332631, 68.879256, 378.494774], [22.563483, 23.470440, 29.388306, 30.317343, 131.115972]]
### 12
mean: [-3.520936]
std: [2.844651]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.117768, 51.213005, 51.295545, 59.566875, 316.884272]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.085809
],
[
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-0.034255,
-0.422944,
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],
[
0.648712,
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0.010509,
-0.052994
],
[
-0.686772,
-0.918646,
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[
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"network.0.bias": [
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"network.2.weight": [
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0.662456,
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],
[
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0.589904,
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0.755895
],
[
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[
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]
],
"network.2.bias": [
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],
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],
[
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],
[
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],
[
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],
[
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],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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0.280455,
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],
[
0.192317,
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[
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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
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[
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[
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[
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[
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],
"network.8.bias": [
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],
"network.10.weight": [
[
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],
[
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[
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[
0.260994,
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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],
"network.12.bias": [
0.302783
]
}
## Activation Signature
### 0
mean: [-1.499981, -2.283047, 3.943610, -1.190119, 1.301846]
std: [1.312603, 1.590927, 2.930919, 2.622073, 1.952890]
pca: [[-0.292276, 0.064102, 0.120866, 0.905728, -0.274798, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190913, 0.717206, 0.356737, 0.012128, 0.567238, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.653763, 0.218144, -0.559978, 0.357858, 0.288737, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.574472, -0.357364, -0.476591, 0.072407, 0.556678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.347422, -0.553363, 0.563396, 0.214952, 0.457676, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.495698, 20.851909, 22.293771, 24.991698, 134.998328], [27.326568, 28.139815, 28.342595, 28.667621, 205.474249], [47.579797, 50.776214, 51.146086, 52.219767, 354.924823], [42.686276, 43.371144, 47.102557, 48.548683, 107.110736], [30.580634, 38.320613, 38.681977, 39.165506, 117.166153]]
### 2
mean: [-0.284617, -1.656228, 3.256537, -0.506446, 3.260784]
std: [0.409000, 1.929893, 2.795485, 1.194034, 2.283022]
pca: [[0.013439, 0.625775, 0.152069, 0.556369, -0.524932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.453351, -0.411913, -0.132406, 0.740236, 0.243559, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.657453, -0.575231, -0.002445, 0.224242, -0.431942, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.266237, -0.245549, 0.918188, -0.092250, -0.131318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.539597, 0.218056, 0.340982, 0.289328, 0.679196, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.409000, 6.903811, 6.968560, 7.087782, 25.615528], [31.600409, 31.944085, 33.286918, 37.687278, 149.060497], [44.620448, 46.790786, 53.020547, 56.354762, 293.088389], [19.307273, 20.526418, 20.557060, 24.639572, 45.580165], [37.391997, 37.932141, 41.104563, 44.651811, 293.470566]]
### 4
mean: [-3.579608, 4.017555, -0.407047, -4.607812, 2.292516]
std: [3.809072, 2.898821, 0.549956, 3.897410, 1.735554]
pca: [[0.592028, -0.446908, 0.664021, 0.055910, -0.075671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.450679, -0.006780, 0.442977, 0.374943, 0.678257, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.083916, -0.439882, -0.445331, 0.770783, -0.083880, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605587, 0.669764, -0.080920, 0.301669, 0.295174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.269468, 0.397678, 0.397467, 0.413740, -0.663384, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.334173, 63.073427, 68.318205, 78.192827, 322.164699], [46.833173, 48.309494, 52.214253, 59.352247, 361.579999], [8.935033, 9.347288, 10.315039, 12.125224, 36.634211], [63.316469, 64.850048, 71.372277, 78.578942, 414.703100], [27.552795, 29.016184, 30.549645, 36.454773, 206.326419]]
### 6
mean: [-3.538570, -0.433919, -1.440110, -1.407292, 3.672400]
std: [3.170827, 0.730195, 1.218764, 0.861383, 2.713700]
pca: [[0.706971, -0.246555, 0.587517, 0.166196, 0.258078, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.159025, 0.589917, -0.264491, -0.024367, 0.745761, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.271745, 0.039556, -0.446211, 0.822690, -0.220609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.186739, 0.758629, 0.338277, -0.054587, -0.521727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.605133, 0.118848, 0.520896, 0.540358, 0.237422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.641071, 55.615848, 56.806982, 67.533325, 318.471323], [11.551005, 12.030863, 15.122828, 15.839195, 39.052672], [19.873903, 20.989295, 22.313638, 26.020985, 129.609914], [13.557619, 13.940139, 17.913467, 18.657706, 126.656273], [44.489302, 47.385524, 49.479149, 57.836619, 330.516028]]
### 8
mean: [1.405508, 1.919012, -1.423897, 1.895654, 2.256546]
std: [1.217779, 1.555251, 1.555365, 1.586289, 1.820036]
pca: [[0.349845, 0.321061, 0.704093, 0.080856, 0.521770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.449935, -0.139419, 0.296487, -0.651953, -0.514950, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438571, 0.749635, 0.210127, -0.012969, -0.448756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.459313, -0.028985, 0.062781, 0.738168, -0.489242, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.521397, 0.560972, -0.606839, -0.152836, 0.147794, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.374758, 21.017214, 24.153928, 25.917348, 126.495741], [24.554004, 25.664191, 32.766601, 33.332294, 172.711058], [25.318920, 25.436610, 32.678818, 34.017491, 128.150719], [25.162532, 26.031099, 32.904735, 34.155330, 170.608827], [30.574527, 31.435075, 35.576051, 38.852794, 203.089156]]
### 10
mean: [2.662107, 2.397466, 0.574627, 4.205497, -1.456844]
std: [2.050834, 1.956605, 0.964663, 3.270591, 1.416822]
pca: [[0.441920, 0.229871, 0.792170, 0.333195, 0.115383, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.421692, 0.205663, -0.488589, 0.217031, 0.702892, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.199557, -0.637340, -0.172297, 0.675213, -0.261489, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.705378, 0.200516, -0.244640, -0.298409, -0.559767, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299169, 0.677092, -0.210267, 0.544902, -0.333038, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.341616, 36.742232, 38.160549, 43.024081, 239.589603], [33.918192, 35.019840, 37.040691, 41.094904, 215.771970], [15.306595, 16.221201, 20.361604, 20.607469, 51.716426], [56.321840, 58.254136, 62.332631, 68.879256, 378.494774], [22.563483, 23.470440, 29.388306, 30.317343, 131.115972]]
### 12
mean: [-3.520936]
std: [2.844651]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.117768, 51.213005, 51.295545, 59.566875, 316.884272]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6961016356945038, "train_acc": 0.52, "val_loss": 0.7101811170578003, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6642743945121765, "train_acc": 0.59, "val_loss": 0.7580219507217407, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6465039253234863, "train_acc": 0.59, "val_loss": 0.7156638503074646, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5458726137876511, "train_acc": 0.59, "val_loss": 0.5589877963066101, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.44133809208869934, "train_acc": 0.65, "val_loss": 0.4943721294403076, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.3402245342731476, "train_acc": 0.91, "val_loss": 0.29760417342185974, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3202902674674988, "train_acc": 0.85, "val_loss": 0.209559828042984, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3060392141342163, "train_acc": 0.85, "val_loss": 0.1795443743467331, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.20235245674848557, "train_acc": 0.935, "val_loss": 0.1704835295677185, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.22156675159931183, "train_acc": 0.93, "val_loss": 0.12981265783309937, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.22307418286800385, "train_acc": 0.93, "val_loss": 0.13075166940689087, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.17726179212331772, "train_acc": 0.935, "val_loss": 0.15553422272205353, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1814555674791336, "train_acc": 0.935, "val_loss": 0.16312259435653687, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7101811170578003, "final_val_loss": 0.5589877963066101, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.4943721294403076, "final_val_loss": 0.16312259435653687, "initial_val_acc": 0.86, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.5599999999999999, "first_improvement_epoch": 3}}
|
99
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.7, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4662, "learning_rate": 0.06516292890522583, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.191001,
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-0.085631,
-0.383217,
-0.52948
],
[
0.830073,
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0.265231,
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}
## Activation Signature
### 0
mean: [-0.422786, -0.991084, 1.930015, 2.328799, -0.113708, -1.993936, 2.240335]
std: [2.615062, 2.213058, 2.869050, 2.331298, 2.022638, 3.168342, 2.744524]
pca: [[0.466833, -0.043457, -0.067774, 0.003748, 0.692166, -0.333164, -0.430672, 0.000000, 0.000000, 0.000000], [0.303854, 0.402560, -0.039793, 0.571613, -0.427733, -0.483907, -0.013113, 0.000000, 0.000000, 0.000000], [0.458854, -0.351837, 0.269209, -0.211419, -0.517362, 0.194221, -0.493060, 0.000000, 0.000000, 0.000000], [-0.300705, 0.111670, 0.720354, 0.456562, 0.201239, 0.214102, -0.288809, 0.000000, 0.000000, 0.000000], [0.257075, -0.319833, -0.373414, 0.606134, 0.101593, 0.549182, 0.113406, 0.000000, 0.000000, 0.000000], [0.367214, 0.740161, 0.029746, -0.227463, 0.076099, 0.506641, 0.047072, 0.000000, 0.000000, 0.000000], [0.433400, -0.222859, 0.511973, -0.030987, 0.116954, -0.113969, 0.687571, 0.000000, 0.000000, 0.000000]]
fourier: [[38.875469, 40.420529, 45.419997, 50.406203, 51.255683], [30.362274, 36.870051, 36.982460, 48.443755, 89.197576], [46.202690, 46.360340, 48.343297, 52.346411, 173.701324], [35.537686, 39.139744, 39.321368, 43.395548, 209.591882], [29.656957, 31.210542, 31.587029, 33.790516, 34.245555], [44.693749, 45.719455, 46.879345, 61.168357, 179.454235], [45.228380, 46.157698, 48.060193, 51.395686, 201.630181]]
### 2
mean: [1.855266, 0.064525, -3.985180, -1.250129, 2.655805, 1.656416, 4.692076]
std: [3.137983, 1.863483, 2.805605, 0.674585, 6.065208, 4.297579, 5.718971]
pca: [[0.300589, 0.148757, -0.402938, -0.497105, -0.003203, -0.372316, 0.582594, 0.000000, 0.000000, 0.000000], [-0.165892, -0.462332, -0.086716, 0.588251, 0.167633, -0.054597, 0.611628, 0.000000, 0.000000, 0.000000], [-0.248656, 0.628170, 0.505172, 0.216025, 0.035288, -0.436947, 0.222572, 0.000000, 0.000000, 0.000000], [-0.022827, 0.399448, 0.019956, -0.019913, -0.113780, 0.805653, 0.420835, 0.000000, 0.000000, 0.000000], [0.587612, 0.270048, -0.279515, 0.574638, -0.386857, -0.082764, -0.130154, 0.000000, 0.000000, 0.000000], [0.417207, 0.162110, 0.026736, 0.096970, 0.878551, 0.101900, -0.085469, 0.000000, 0.000000, 0.000000], [0.548110, -0.332803, 0.704046, -0.142032, -0.190230, 0.034150, 0.188705, 0.000000, 0.000000, 0.000000]]
fourier: [[52.059498, 54.614972, 56.158779, 57.612187, 166.973938], [29.389253, 30.819105, 31.170634, 33.196073, 40.831714], [47.976774, 48.886044, 51.421410, 53.139186, 358.666276], [11.841266, 11.878044, 12.098620, 14.108947, 112.511592], [98.399190, 108.033405, 110.639244, 112.628842, 239.022429], [70.775442, 77.434153, 78.855426, 80.837106, 149.077402], [95.107156, 97.140866, 98.290863, 116.836145, 422.286860]]
### 4
mean: [3.881847, -4.732423, -2.545649, 6.675370, -2.816582, -3.283076, -5.069863]
std: [6.351824, 5.806288, 2.498790, 9.529282, 3.708946, 5.070079, 5.003459]
pca: [[0.414262, 0.277738, -0.294188, 0.595587, -0.165969, -0.473233, 0.241835, 0.000000, 0.000000, 0.000000], [-0.378139, 0.417894, -0.339143, -0.306181, -0.436537, -0.323150, -0.422634, 0.000000, 0.000000, 0.000000], [-0.160585, 0.439685, -0.478970, 0.261689, 0.337923, 0.606025, -0.039212, 0.000000, 0.000000, 0.000000], [0.621584, 0.424269, 0.063609, -0.510659, 0.376502, -0.091126, -0.136935, 0.000000, 0.000000, 0.000000], [-0.241549, 0.273261, -0.016332, -0.354817, -0.081222, -0.021241, 0.856605, 0.000000, 0.000000, 0.000000], [-0.330632, -0.232921, -0.295568, -0.034694, 0.690013, -0.521118, 0.013568, 0.000000, 0.000000, 0.000000], [-0.324930, 0.495959, 0.690905, 0.308508, 0.207916, -0.155045, -0.093008, 0.000000, 0.000000, 0.000000]]
fourier: [[103.396378, 109.278279, 113.029391, 125.644956, 349.366169], [95.248888, 106.299471, 106.919894, 114.404627, 425.918080], [40.719816, 46.909742, 47.902195, 50.529295, 229.108463], [155.955606, 162.234915, 168.978975, 188.192147, 600.783391], [60.783854, 67.713378, 68.003140, 73.298901, 253.492347], [83.618143, 86.501074, 91.162585, 99.045883, 295.476806], [82.629281, 88.931784, 92.442551, 99.888455, 456.287719]]
### 6
mean: [-4.076373, 3.219410, 3.979705, 2.154767, 3.117347, -3.549035, 4.371071]
std: [6.696495, 5.164631, 6.107264, 3.664304, 4.385295, 4.652167, 6.725746]
pca: [[-0.463943, -0.279794, 0.086358, -0.577561, 0.209104, 0.122622, 0.553784, 0.000000, 0.000000, 0.000000], [0.357779, 0.575230, -0.267981, -0.187127, -0.192472, -0.270063, 0.569468, 0.000000, 0.000000, 0.000000], [0.423112, -0.359813, 0.321979, 0.076153, -0.536665, 0.448132, 0.305303, 0.000000, 0.000000, 0.000000], [0.253858, 0.039394, -0.588194, -0.150006, 0.309449, 0.678188, -0.099157, 0.000000, 0.000000, 0.000000], [0.303788, 0.393428, 0.671701, -0.300249, 0.396219, 0.176391, -0.153274, 0.000000, 0.000000, 0.000000], [-0.322301, 0.309614, 0.139403, 0.673738, 0.225513, 0.329519, 0.409226, 0.000000, 0.000000, 0.000000], [0.465959, -0.457343, -0.021669, 0.242967, 0.572378, -0.334025, 0.273912, 0.000000, 0.000000, 0.000000]]
fourier: [[110.060794, 113.382633, 118.542340, 132.886771, 366.873549], [84.514529, 88.217432, 91.622839, 102.205647, 289.746889], [101.845959, 102.034622, 107.728509, 121.682807, 358.173441], [60.369753, 62.156626, 65.083220, 72.615919, 193.928990], [71.876758, 74.188192, 77.341756, 87.111518, 280.561199], [77.583024, 77.889338, 82.231026, 92.595871, 319.413153], [112.223936, 112.479759, 118.796067, 133.928554, 393.396369]]
### 8
mean: [-5.384548]
std: [8.412790]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.386132, 140.781991, 148.596432, 167.406882, 484.609332]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.422786, -0.991084, 1.930015, 2.328799, -0.113708, -1.993936, 2.240335]
std: [2.615062, 2.213058, 2.869050, 2.331298, 2.022638, 3.168342, 2.744524]
pca: [[0.466833, -0.043457, -0.067774, 0.003748, 0.692166, -0.333164, -0.430672, 0.000000, 0.000000, 0.000000], [0.303854, 0.402560, -0.039793, 0.571613, -0.427733, -0.483907, -0.013113, 0.000000, 0.000000, 0.000000], [0.458854, -0.351837, 0.269209, -0.211419, -0.517362, 0.194221, -0.493060, 0.000000, 0.000000, 0.000000], [-0.300705, 0.111670, 0.720354, 0.456562, 0.201239, 0.214102, -0.288809, 0.000000, 0.000000, 0.000000], [0.257075, -0.319833, -0.373414, 0.606134, 0.101593, 0.549182, 0.113406, 0.000000, 0.000000, 0.000000], [0.367214, 0.740161, 0.029746, -0.227463, 0.076099, 0.506641, 0.047072, 0.000000, 0.000000, 0.000000], [0.433400, -0.222859, 0.511973, -0.030987, 0.116954, -0.113969, 0.687571, 0.000000, 0.000000, 0.000000]]
fourier: [[38.875469, 40.420529, 45.419997, 50.406203, 51.255683], [30.362274, 36.870051, 36.982460, 48.443755, 89.197576], [46.202690, 46.360340, 48.343297, 52.346411, 173.701324], [35.537686, 39.139744, 39.321368, 43.395548, 209.591882], [29.656957, 31.210542, 31.587029, 33.790516, 34.245555], [44.693749, 45.719455, 46.879345, 61.168357, 179.454235], [45.228380, 46.157698, 48.060193, 51.395686, 201.630181]]
### 2
mean: [1.855266, 0.064525, -3.985180, -1.250129, 2.655805, 1.656416, 4.692076]
std: [3.137983, 1.863483, 2.805605, 0.674585, 6.065208, 4.297579, 5.718971]
pca: [[0.300589, 0.148757, -0.402938, -0.497105, -0.003203, -0.372316, 0.582594, 0.000000, 0.000000, 0.000000], [-0.165892, -0.462332, -0.086716, 0.588251, 0.167633, -0.054597, 0.611628, 0.000000, 0.000000, 0.000000], [-0.248656, 0.628170, 0.505172, 0.216025, 0.035288, -0.436947, 0.222572, 0.000000, 0.000000, 0.000000], [-0.022827, 0.399448, 0.019956, -0.019913, -0.113780, 0.805653, 0.420835, 0.000000, 0.000000, 0.000000], [0.587612, 0.270048, -0.279515, 0.574638, -0.386857, -0.082764, -0.130154, 0.000000, 0.000000, 0.000000], [0.417207, 0.162110, 0.026736, 0.096970, 0.878551, 0.101900, -0.085469, 0.000000, 0.000000, 0.000000], [0.548110, -0.332803, 0.704046, -0.142032, -0.190230, 0.034150, 0.188705, 0.000000, 0.000000, 0.000000]]
fourier: [[52.059498, 54.614972, 56.158779, 57.612187, 166.973938], [29.389253, 30.819105, 31.170634, 33.196073, 40.831714], [47.976774, 48.886044, 51.421410, 53.139186, 358.666276], [11.841266, 11.878044, 12.098620, 14.108947, 112.511592], [98.399190, 108.033405, 110.639244, 112.628842, 239.022429], [70.775442, 77.434153, 78.855426, 80.837106, 149.077402], [95.107156, 97.140866, 98.290863, 116.836145, 422.286860]]
### 4
mean: [3.881847, -4.732423, -2.545649, 6.675370, -2.816582, -3.283076, -5.069863]
std: [6.351824, 5.806288, 2.498790, 9.529282, 3.708946, 5.070079, 5.003459]
pca: [[0.414262, 0.277738, -0.294188, 0.595587, -0.165969, -0.473233, 0.241835, 0.000000, 0.000000, 0.000000], [-0.378139, 0.417894, -0.339143, -0.306181, -0.436537, -0.323150, -0.422634, 0.000000, 0.000000, 0.000000], [-0.160585, 0.439685, -0.478970, 0.261689, 0.337923, 0.606025, -0.039212, 0.000000, 0.000000, 0.000000], [0.621584, 0.424269, 0.063609, -0.510659, 0.376502, -0.091126, -0.136935, 0.000000, 0.000000, 0.000000], [-0.241549, 0.273261, -0.016332, -0.354817, -0.081222, -0.021241, 0.856605, 0.000000, 0.000000, 0.000000], [-0.330632, -0.232921, -0.295568, -0.034694, 0.690013, -0.521118, 0.013568, 0.000000, 0.000000, 0.000000], [-0.324930, 0.495959, 0.690905, 0.308508, 0.207916, -0.155045, -0.093008, 0.000000, 0.000000, 0.000000]]
fourier: [[103.396378, 109.278279, 113.029391, 125.644956, 349.366169], [95.248888, 106.299471, 106.919894, 114.404627, 425.918080], [40.719816, 46.909742, 47.902195, 50.529295, 229.108463], [155.955606, 162.234915, 168.978975, 188.192147, 600.783391], [60.783854, 67.713378, 68.003140, 73.298901, 253.492347], [83.618143, 86.501074, 91.162585, 99.045883, 295.476806], [82.629281, 88.931784, 92.442551, 99.888455, 456.287719]]
### 6
mean: [-4.076373, 3.219410, 3.979705, 2.154767, 3.117347, -3.549035, 4.371071]
std: [6.696495, 5.164631, 6.107264, 3.664304, 4.385295, 4.652167, 6.725746]
pca: [[-0.463943, -0.279794, 0.086358, -0.577561, 0.209104, 0.122622, 0.553784, 0.000000, 0.000000, 0.000000], [0.357779, 0.575230, -0.267981, -0.187127, -0.192472, -0.270063, 0.569468, 0.000000, 0.000000, 0.000000], [0.423112, -0.359813, 0.321979, 0.076153, -0.536665, 0.448132, 0.305303, 0.000000, 0.000000, 0.000000], [0.253858, 0.039394, -0.588194, -0.150006, 0.309449, 0.678188, -0.099157, 0.000000, 0.000000, 0.000000], [0.303788, 0.393428, 0.671701, -0.300249, 0.396219, 0.176391, -0.153274, 0.000000, 0.000000, 0.000000], [-0.322301, 0.309614, 0.139403, 0.673738, 0.225513, 0.329519, 0.409226, 0.000000, 0.000000, 0.000000], [0.465959, -0.457343, -0.021669, 0.242967, 0.572378, -0.334025, 0.273912, 0.000000, 0.000000, 0.000000]]
fourier: [[110.060794, 113.382633, 118.542340, 132.886771, 366.873549], [84.514529, 88.217432, 91.622839, 102.205647, 289.746889], [101.845959, 102.034622, 107.728509, 121.682807, 358.173441], [60.369753, 62.156626, 65.083220, 72.615919, 193.928990], [71.876758, 74.188192, 77.341756, 87.111518, 280.561199], [77.583024, 77.889338, 82.231026, 92.595871, 319.413153], [112.223936, 112.479759, 118.796067, 133.928554, 393.396369]]
### 8
mean: [-5.384548]
std: [8.412790]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[140.386132, 140.781991, 148.596432, 167.406882, 484.609332]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.191001, -0.005257, -0.085631, -0.383217, -0.52948], [0.830073, -0.733954, 0.265231, -0.354765, -0.133817], [1.266154, 0.487479, -0.244881, -0.120457, -0.382476], [-0.719693, 0.077744, 0.499278, 0.316046, 0.869655], [0.723096, -0.035837, -0.009776, 0.196244, -0.9467], [0.878237, -0.789782, 0.086277, -0.929004, 0.305033], [1.188104, 0.424919, -0.01876, -0.169196, -0.107919]], "network.0.bias": [-0.241655, -0.314859, 0.707624, 0.289497, -0.181075, -0.211927, 0.522626], "network.2.weight": [[-0.011534, -0.064222, 0.330201, -0.348453, 0.259403, 0.262139, 0.593639], [0.203929, -0.208755, -0.202294, 0.482613, 0.203593, -0.374077, -0.318446], [-0.312079, -0.156537, -0.506344, -0.352001, -0.531187, 0.303154, -0.262681], [-0.183911, 0.041291, 0.154343, -0.300756, -0.294363, 0.099644, -0.176429], [0.489194, 0.299535, 0.599352, -0.607835, 0.504562, 0.638923, 0.765618], [0.583427, -0.183329, 0.409228, -0.377266, 0.08565, 0.849228, 0.535587], [0.548942, 0.85786, 0.594589, 0.023247, 0.46241, 0.930856, 0.602343]], "network.2.bias": [0.439127, -0.037434, -0.902973, -0.141345, 0.042049, -0.277651, 0.504821], "network.4.weight": [[0.056955, -0.371147, 0.030229, 0.270034, 0.204839, 0.444807, 0.554324], [-0.089669, -0.348356, 0.201651, 0.233208, -0.564198, -0.214203, -0.307455], [-0.264191, -0.432444, -0.077502, 0.178992, -0.187635, -0.211388, -0.007267], [0.428698, -0.445546, -0.229907, 0.058804, 0.588186, -0.058451, 0.890748], [-0.063823, -0.228728, -0.294199, -0.15381, -0.226113, -0.295744, -0.215337], [-0.201819, 0.317087, 0.198007, -0.138627, -0.208161, -0.352583, -0.319781], [-0.583501, -0.604081, 0.090821, 0.232871, 0.200172, -0.474655, -0.499221]], "network.4.bias": [-0.23651, -0.471679, -0.532407, 0.100858, -0.082022, -0.117051, -0.661976], "network.6.weight": [[-0.195369, -0.088488, -0.004142, -0.573909, 0.307204, 0.519576, 0.174765], [0.149186, 0.220528, 0.524611, 0.442338, -0.15273, -0.672972, 0.282554], [0.163663, 0.265984, -0.099688, 0.535154, 0.167493, 0.011226, 0.270037], [0.282274, -0.106881, -0.023509, 0.197717, -0.265916, -0.396428, 0.256157], [-0.118685, 0.267452, 0.450124, 0.53918, 0.334131, -0.220817, 0.066178], [-0.241505, 0.014893, 0.108802, -0.330022, 0.017939, 0.096854, 0.198881], [0.2995, 0.134612, 0.026252, 0.510196, 0.264904, -0.0755, 0.001491]], "network.6.bias": [0.53005, -0.309224, -0.271144, -0.277862, -0.019087, -0.372291, -0.249436], "network.8.weight": [[0.356298, 0.023046, -0.316147, -0.446804, -0.279368, 0.160476, -0.558484]], "network.8.bias": [0.099225]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853665113449097, "train_acc": 0.57, "val_loss": 0.694990873336792, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6431417465209961, "train_acc": 0.57, "val_loss": 0.6814982891082764, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5952019691467285, "train_acc": 0.57, "val_loss": 0.6136409640312195, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5714486539363861, "train_acc": 0.505, "val_loss": 0.6214572191238403, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.8841840624809265, "train_acc": 0.73, "val_loss": 0.58130943775177, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4936707019805908, "train_acc": 0.745, "val_loss": 0.6662534475326538, "val_acc": 0.58}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.645664393901825, "train_acc": 0.635, "val_loss": 0.6762101650238037, "val_acc": 0.58}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5894111394882202, "train_acc": 0.655, "val_loss": 0.5562924146652222, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5181955695152283, "train_acc": 0.73, "val_loss": 0.6567420959472656, "val_acc": 0.6}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5495182126760483, "train_acc": 0.65, "val_loss": 0.5462181568145752, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5041899085044861, "train_acc": 0.745, "val_loss": 0.5637720227241516, "val_acc": 0.68}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.5080054402351379, "train_acc": 0.73, "val_loss": 0.565339207649231, "val_acc": 0.68}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.5066083669662476, "train_acc": 0.73, "val_loss": 0.553099513053894, "val_acc": 0.68}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.694990873336792, "final_val_loss": 0.6136409640312195, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6214572191238403, "final_val_loss": 0.553099513053894, "initial_val_acc": 0.64, "final_val_acc": 0.68, "best_val_acc": 0.7, "best_epoch": 9}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
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