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
18.6k
| improved_signature
stringlengths 7.3k
18.8k
| improved_model_weights
stringlengths 1.77k
5.04k
| training_metrics
stringlengths 1.46k
2.92k
|
|---|---|---|---|---|---|---|---|
9,900
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2619, "learning_rate": 0.03395973113185158, "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: [0.273091, -1.162234, 3.366700, -1.153457, -1.442865, 0.215161, -1.363853]
std: [2.403665, 2.280568, 2.742910, 1.784813, 1.733832, 0.865862, 1.624608]
pca: [[-0.576417, -0.120168, -0.432680, -0.094630, 0.114299, -0.082017, 0.661320, 0.000000, 0.000000, 0.000000], [0.289266, 0.743326, 0.111187, -0.341723, -0.080844, 0.170469, 0.446160, 0.000000, 0.000000, 0.000000], [0.661800, -0.211682, -0.368648, -0.047805, 0.543940, -0.234952, 0.167186, 0.000000, 0.000000, 0.000000], [-0.161298, 0.557397, -0.097906, 0.600018, 0.229207, -0.477100, -0.116288, 0.000000, 0.000000, 0.000000], [-0.016411, -0.211017, 0.779135, 0.231371, 0.331767, -0.054370, 0.426138, 0.000000, 0.000000, 0.000000], [0.059809, 0.041908, -0.202226, 0.526786, 0.176356, 0.800029, 0.071555, 0.000000, 0.000000, 0.000000], [-0.340918, 0.176750, 0.083615, -0.425355, 0.700588, 0.195919, -0.367979, 0.000000, 0.000000, 0.000000]]
fourier: [[37.992373, 38.869194, 41.747505, 42.523828, 46.079959], [34.630920, 36.004722, 39.935448, 48.544886, 104.601065], [45.944802, 45.949687, 50.124708, 50.489361, 303.003011], [27.129798, 28.714250, 35.756406, 37.341795, 103.811128], [29.754723, 29.887686, 30.561486, 38.735773, 129.857829], [12.263547, 12.428386, 12.733645, 19.364453, 20.745759], [26.211691, 27.196822, 28.285829, 29.939041, 122.746716]]
### 2
mean: [-2.159212, 0.888071, -3.857683, 1.442075, 1.311281, 0.565956, 0.711583]
std: [1.152446, 0.733285, 2.139478, 2.289708, 1.610595, 0.655982, 0.563434]
pca: [[-0.045347, 0.629209, -0.007288, 0.512296, 0.115802, 0.569415, -0.043542, 0.000000, 0.000000, 0.000000], [0.187505, -0.021753, -0.475638, 0.399099, 0.246072, -0.327189, 0.641290, 0.000000, 0.000000, 0.000000], [-0.566315, 0.557265, 0.101047, -0.388558, -0.000783, -0.282519, 0.357405, 0.000000, 0.000000, 0.000000], [0.639801, 0.456609, 0.190595, 0.000932, -0.462990, -0.360687, -0.037167, 0.000000, 0.000000, 0.000000], [0.473196, 0.134641, 0.115122, -0.507977, 0.645796, 0.226420, 0.135448, 0.000000, 0.000000, 0.000000], [-0.071163, -0.097737, 0.754163, 0.408904, 0.373719, -0.331139, 0.010021, 0.000000, 0.000000, 0.000000], [0.061231, -0.238552, 0.381003, -0.045291, -0.393650, 0.444841, 0.662786, 0.000000, 0.000000, 0.000000]]
fourier: [[17.491146, 17.922665, 20.827412, 22.730123, 194.329047], [11.593781, 12.054944, 13.342924, 14.096779, 79.926413], [36.965094, 37.195766, 40.877874, 44.730300, 347.191472], [38.969111, 41.521717, 42.066572, 51.810936, 129.786733], [25.605000, 25.942404, 29.110324, 33.693542, 118.015326], [10.297526, 10.528681, 11.698240, 14.688073, 50.936074], [7.754990, 8.438639, 11.064002, 12.262147, 64.042456]]
### 4
mean: [1.796664, -0.052355, 0.195013, 1.313982, -0.975663, 2.352696, -0.509313]
std: [2.291956, 1.221140, 0.731893, 1.845400, 1.645317, 2.698617, 0.952733]
pca: [[0.497773, -0.218031, 0.023563, 0.375924, -0.521250, -0.466605, 0.270904, 0.000000, 0.000000, 0.000000], [-0.254571, 0.244475, 0.793163, -0.011607, -0.336318, 0.198347, 0.306157, 0.000000, 0.000000, 0.000000], [0.155985, -0.084432, -0.329981, 0.225138, -0.068096, 0.740444, 0.506035, 0.000000, 0.000000, 0.000000], [0.398250, 0.363159, 0.262329, 0.604045, 0.323693, 0.176230, -0.374154, 0.000000, 0.000000, 0.000000], [-0.347377, 0.715578, -0.392777, 0.253250, -0.085461, -0.278228, 0.253285, 0.000000, 0.000000, 0.000000], [0.585223, 0.386357, 0.065401, -0.548586, 0.270708, -0.095697, 0.347241, 0.000000, 0.000000, 0.000000], [-0.203283, -0.303903, 0.184616, 0.279117, 0.652065, -0.277588, 0.502082, 0.000000, 0.000000, 0.000000]]
fourier: [[40.154653, 42.091796, 43.264919, 43.384171, 161.699782], [19.195188, 21.787300, 22.102860, 23.497373, 24.122600], [12.929276, 13.735393, 13.844083, 14.077923, 17.551133], [33.453215, 33.927970, 35.894153, 36.388076, 118.258335], [26.354246, 28.425798, 28.543472, 30.403681, 87.809654], [48.777649, 50.353169, 50.530831, 55.296387, 211.742682], [17.096423, 17.710985, 18.175027, 20.216656, 45.838123]]
### 6
mean: [-3.332159, -0.630579, -0.063747, 2.596729, 3.349669, -0.706154, 2.607353]
std: [3.918632, 0.848641, 0.143185, 3.968336, 4.576816, 0.159521, 3.893089]
pca: [[-0.474511, 0.643310, 0.522943, -0.092697, -0.097124, 0.196806, 0.175397, 0.000000, 0.000000, 0.000000], [-0.094745, -0.586221, 0.676468, -0.002481, 0.026179, 0.230589, -0.368643, 0.000000, 0.000000, 0.000000], [0.010901, 0.149138, -0.226031, 0.534167, 0.310077, 0.713401, -0.190071, 0.000000, 0.000000, 0.000000], [0.482380, -0.152726, 0.206349, 0.018526, -0.239858, 0.369962, 0.711799, 0.000000, 0.000000, 0.000000], [0.556094, 0.301975, 0.287484, -0.253539, 0.654725, -0.105477, -0.113362, 0.000000, 0.000000, 0.000000], [-0.014226, -0.007814, 0.277332, 0.776349, 0.151854, -0.499466, 0.218131, 0.000000, 0.000000, 0.000000], [0.472874, 0.325085, 0.125269, 0.196787, -0.620063, -0.041143, -0.479710, 0.000000, 0.000000, 0.000000]]
fourier: [[71.150168, 71.302938, 72.645600, 75.113179, 299.894332], [13.612573, 14.651093, 15.683655, 16.051022, 56.752097], [2.109808, 2.227894, 2.233588, 2.442992, 5.737253], [72.812047, 74.027418, 74.887002, 77.398207, 233.705609], [83.324756, 85.447066, 86.852371, 90.762319, 301.470212], [2.430502, 2.640242, 2.802867, 2.943994, 63.553838], [70.934215, 73.167206, 73.373607, 77.740095, 234.661747]]
### 8
mean: [-4.589093]
std: [6.392811]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.011828, 119.391275, 121.036920, 122.435866, 413.018360]]
## 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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## Activation Signature
### 0
mean: [0.273091, -1.162234, 3.366700, -1.153457, -1.442865, 0.215161, -1.363853]
std: [2.403665, 2.280568, 2.742910, 1.784813, 1.733832, 0.865862, 1.624608]
pca: [[-0.576417, -0.120168, -0.432680, -0.094630, 0.114299, -0.082017, 0.661320, 0.000000, 0.000000, 0.000000], [0.289266, 0.743326, 0.111187, -0.341723, -0.080844, 0.170469, 0.446160, 0.000000, 0.000000, 0.000000], [0.661800, -0.211682, -0.368648, -0.047805, 0.543940, -0.234952, 0.167186, 0.000000, 0.000000, 0.000000], [-0.161298, 0.557397, -0.097906, 0.600018, 0.229207, -0.477100, -0.116288, 0.000000, 0.000000, 0.000000], [-0.016411, -0.211017, 0.779135, 0.231371, 0.331767, -0.054370, 0.426138, 0.000000, 0.000000, 0.000000], [0.059809, 0.041908, -0.202226, 0.526786, 0.176356, 0.800029, 0.071555, 0.000000, 0.000000, 0.000000], [-0.340918, 0.176750, 0.083615, -0.425355, 0.700588, 0.195919, -0.367979, 0.000000, 0.000000, 0.000000]]
fourier: [[37.992373, 38.869194, 41.747505, 42.523828, 46.079959], [34.630920, 36.004722, 39.935448, 48.544886, 104.601065], [45.944802, 45.949687, 50.124708, 50.489361, 303.003011], [27.129798, 28.714250, 35.756406, 37.341795, 103.811128], [29.754723, 29.887686, 30.561486, 38.735773, 129.857829], [12.263547, 12.428386, 12.733645, 19.364453, 20.745759], [26.211691, 27.196822, 28.285829, 29.939041, 122.746716]]
### 2
mean: [-2.159212, 0.888071, -3.857683, 1.442075, 1.311281, 0.565956, 0.711583]
std: [1.152446, 0.733285, 2.139478, 2.289708, 1.610595, 0.655982, 0.563434]
pca: [[-0.045347, 0.629209, -0.007288, 0.512296, 0.115802, 0.569415, -0.043542, 0.000000, 0.000000, 0.000000], [0.187505, -0.021753, -0.475638, 0.399099, 0.246072, -0.327189, 0.641290, 0.000000, 0.000000, 0.000000], [-0.566315, 0.557265, 0.101047, -0.388558, -0.000783, -0.282519, 0.357405, 0.000000, 0.000000, 0.000000], [0.639801, 0.456609, 0.190595, 0.000932, -0.462990, -0.360687, -0.037167, 0.000000, 0.000000, 0.000000], [0.473196, 0.134641, 0.115122, -0.507977, 0.645796, 0.226420, 0.135448, 0.000000, 0.000000, 0.000000], [-0.071163, -0.097737, 0.754163, 0.408904, 0.373719, -0.331139, 0.010021, 0.000000, 0.000000, 0.000000], [0.061231, -0.238552, 0.381003, -0.045291, -0.393650, 0.444841, 0.662786, 0.000000, 0.000000, 0.000000]]
fourier: [[17.491146, 17.922665, 20.827412, 22.730123, 194.329047], [11.593781, 12.054944, 13.342924, 14.096779, 79.926413], [36.965094, 37.195766, 40.877874, 44.730300, 347.191472], [38.969111, 41.521717, 42.066572, 51.810936, 129.786733], [25.605000, 25.942404, 29.110324, 33.693542, 118.015326], [10.297526, 10.528681, 11.698240, 14.688073, 50.936074], [7.754990, 8.438639, 11.064002, 12.262147, 64.042456]]
### 4
mean: [1.796664, -0.052355, 0.195013, 1.313982, -0.975663, 2.352696, -0.509313]
std: [2.291956, 1.221140, 0.731893, 1.845400, 1.645317, 2.698617, 0.952733]
pca: [[0.497773, -0.218031, 0.023563, 0.375924, -0.521250, -0.466605, 0.270904, 0.000000, 0.000000, 0.000000], [-0.254571, 0.244475, 0.793163, -0.011607, -0.336318, 0.198347, 0.306157, 0.000000, 0.000000, 0.000000], [0.155985, -0.084432, -0.329981, 0.225138, -0.068096, 0.740444, 0.506035, 0.000000, 0.000000, 0.000000], [0.398250, 0.363159, 0.262329, 0.604045, 0.323693, 0.176230, -0.374154, 0.000000, 0.000000, 0.000000], [-0.347377, 0.715578, -0.392777, 0.253250, -0.085461, -0.278228, 0.253285, 0.000000, 0.000000, 0.000000], [0.585223, 0.386357, 0.065401, -0.548586, 0.270708, -0.095697, 0.347241, 0.000000, 0.000000, 0.000000], [-0.203283, -0.303903, 0.184616, 0.279117, 0.652065, -0.277588, 0.502082, 0.000000, 0.000000, 0.000000]]
fourier: [[40.154653, 42.091796, 43.264919, 43.384171, 161.699782], [19.195188, 21.787300, 22.102860, 23.497373, 24.122600], [12.929276, 13.735393, 13.844083, 14.077923, 17.551133], [33.453215, 33.927970, 35.894153, 36.388076, 118.258335], [26.354246, 28.425798, 28.543472, 30.403681, 87.809654], [48.777649, 50.353169, 50.530831, 55.296387, 211.742682], [17.096423, 17.710985, 18.175027, 20.216656, 45.838123]]
### 6
mean: [-3.332159, -0.630579, -0.063747, 2.596729, 3.349669, -0.706154, 2.607353]
std: [3.918632, 0.848641, 0.143185, 3.968336, 4.576816, 0.159521, 3.893089]
pca: [[-0.474511, 0.643310, 0.522943, -0.092697, -0.097124, 0.196806, 0.175397, 0.000000, 0.000000, 0.000000], [-0.094745, -0.586221, 0.676468, -0.002481, 0.026179, 0.230589, -0.368643, 0.000000, 0.000000, 0.000000], [0.010901, 0.149138, -0.226031, 0.534167, 0.310077, 0.713401, -0.190071, 0.000000, 0.000000, 0.000000], [0.482380, -0.152726, 0.206349, 0.018526, -0.239858, 0.369962, 0.711799, 0.000000, 0.000000, 0.000000], [0.556094, 0.301975, 0.287484, -0.253539, 0.654725, -0.105477, -0.113362, 0.000000, 0.000000, 0.000000], [-0.014226, -0.007814, 0.277332, 0.776349, 0.151854, -0.499466, 0.218131, 0.000000, 0.000000, 0.000000], [0.472874, 0.325085, 0.125269, 0.196787, -0.620063, -0.041143, -0.479710, 0.000000, 0.000000, 0.000000]]
fourier: [[71.150168, 71.302938, 72.645600, 75.113179, 299.894332], [13.612573, 14.651093, 15.683655, 16.051022, 56.752097], [2.109808, 2.227894, 2.233588, 2.442992, 5.737253], [72.812047, 74.027418, 74.887002, 77.398207, 233.705609], [83.324756, 85.447066, 86.852371, 90.762319, 301.470212], [2.430502, 2.640242, 2.802867, 2.943994, 63.553838], [70.934215, 73.167206, 73.373607, 77.740095, 234.661747]]
### 8
mean: [-4.589093]
std: [6.392811]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.011828, 119.391275, 121.036920, 122.435866, 413.018360]]
## 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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"fourier": [70.93421496595775, 73.1672060039649, 73.37360746132403, 77.74009536606479, 234.66174682602286]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -4.58909273147583, "std": 6.392810821533203, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [119.01182831003231, 119.39127480254497, 121.0369197238402, 122.43586620510492, 413.0183595344424]}}, "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": "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.115436, -0.074343, 0.118857, 0.168541, 0.601383], [0.872176, -0.993577, 0.297145, -0.120692, -0.395044], [0.993017, 0.375117, 0.399765, 0.260856, -0.120649], [-0.249897, -0.348376, 0.278531, -0.633668, 0.287285], [0.150379, 0.423979, -0.884204, -0.28028, -0.025661], [-0.083902, 0.261648, 0.247779, -0.299968, 0.167554], [-0.259181, -0.515891, -0.308282, 0.092419, 0.45907]], "network.0.bias": [0.445248, -0.311755, 0.201744, 0.215071, 0.07711, -0.238179, -0.221654], "network.2.weight": [[-0.905593, 0.621512, -0.31298, -0.268144, 0.269469, -0.080703, 0.442086], [-0.049649, 0.162108, 0.204929, -0.185535, 0.850814, -0.04301, 0.651746], [-0.867731, -0.049049, -0.803856, -0.048472, -0.428172, -0.207443, 0.333633], [-0.821652, 0.58343, 0.529091, 0.258354, 0.180169, -0.04748, 0.425813], [-0.302768, 0.204616, 0.432409, -0.149897, 0.584387, 0.471614, -0.038565], [0.379298, 0.008486, -0.074534, 0.512323, -0.41937, 0.215296, -1.093661], [0.481837, -0.148146, 0.174374, 0.338815, -0.558436, -0.071635, -0.787579]], "network.2.bias": [-0.410393, 0.176184, -0.252246, 0.210856, -0.066495, 0.347063, -0.253653], "network.4.weight": [[-0.422134, 0.343788, -0.870809, 0.619991, 0.387731, -0.786416, -0.001143], [-0.099766, 0.120345, 0.563178, -0.550746, 0.027924, 0.650138, 0.425936], [0.087175, -0.026821, 0.013825, 0.367879, -0.079088, -0.368552, -0.134433], [-0.408324, 0.347906, -0.278324, 0.669514, 0.153452, -0.039641, -0.07048], [0.097134, -0.602636, 0.529847, 0.145388, -0.875949, 0.641919, 0.103094], [-0.258277, -0.035802, -0.447132, 0.797635, 0.669032, -0.327029, -0.377162], [-0.200497, 0.356438, 0.117324, -0.50471, -0.045324, 0.263749, 0.046548]], "network.4.bias": [0.365581, 0.124793, 0.003136, -0.206875, 0.050874, 0.585414, -0.089941], "network.6.weight": [[-0.639975, -0.481846, -0.592284, -0.368477, 0.393485, -0.594247, -0.093612], [-0.304405, 0.326516, -0.274905, -0.194202, 0.779162, 0.223487, 0.086682], [-0.215359, -0.074701, 0.337578, 0.065739, -0.386709, 0.084619, 0.342824], [0.483918, -0.125385, 0.241111, 0.428333, 0.046869, 0.704383, -0.444517], [0.620121, -0.714255, 0.123088, 0.45171, 0.1095, 0.756907, -0.334737], [-0.464724, -0.045972, 0.398682, 0.177611, 0.049287, 0.136523, -0.007958], [0.460859, -0.485581, 0.197327, 0.712887, -0.203776, 0.449337, -0.726287]], "network.6.bias": [-0.010386, -0.445302, -0.003096, -0.490378, 0.093966, -0.513784, -0.055482], "network.8.weight": [[-0.375303, 0.601311, -0.106598, -0.424068, -0.594721, -0.043419, -0.550847]], "network.8.bias": [0.136489]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7021723091602325, "train_acc": 0.435, "val_loss": 0.6939444541931152, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6858779489994049, "train_acc": 0.585, "val_loss": 0.6952609419822693, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6797325909137726, "train_acc": 0.585, "val_loss": 0.7005342245101929, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6692471206188202, "train_acc": 0.585, "val_loss": 0.6902801394462585, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6501381397247314, "train_acc": 0.585, "val_loss": 0.6432127356529236, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6375938057899475, "train_acc": 0.53, "val_loss": 0.5457133650779724, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.572962760925293, "train_acc": 0.72, "val_loss": 0.48593437671661377, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5513408184051514, "train_acc": 0.695, "val_loss": 0.47388529777526855, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5011945813894272, "train_acc": 0.725, "val_loss": 0.4809993505477905, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5170922428369522, "train_acc": 0.725, "val_loss": 0.4620840549468994, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4851112961769104, "train_acc": 0.72, "val_loss": 0.43878379464149475, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.47363048791885376, "train_acc": 0.72, "val_loss": 0.43018561601638794, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4531082361936569, "train_acc": 0.74, "val_loss": 0.4330892860889435, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.44221797585487366, "train_acc": 0.75, "val_loss": 0.4326258897781372, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.43441152572631836, "train_acc": 0.77, "val_loss": 0.42998573184013367, "val_acc": 0.8}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6939444541931152, "final_val_loss": 0.6432127356529236, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5457133650779724, "final_val_loss": 0.42998573184013367, "initial_val_acc": 0.76, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 14}, "improvement": 0.30000000000000004, "first_improvement_epoch": 4}}
|
9,901
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5400, "learning_rate": 0.09987856845009109, "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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[
1.569143,
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],
[
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1.123397
],
[
2.118852,
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],
[
1.548171,
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],
[
-0.019084,
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-0.267142,
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],
[
2.021644,
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]
],
"network.0.bias": [
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0.005281,
0.739011,
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-0.390047,
1.53817
],
"network.2.weight": [
[
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1.770344
],
[
0.548421,
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0.891757,
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1.534832
],
[
-0.894089,
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0.115729,
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0.160558,
-1.22388
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[
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0.05991,
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],
[
-0.045825,
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],
[
0.074144,
1.107318,
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]
],
"network.2.bias": [
0.286842,
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"network.4.weight": [
[
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[
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0.292495,
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[
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[
0.039335,
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[
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[
0.778412,
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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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[
0.090611,
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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: [0.327065, 2.956966, 1.503298, -0.677955, -3.120480, 4.550344]
std: [2.991820, 2.691654, 4.316813, 3.752606, 1.800772, 4.425029]
pca: [[0.393916, -0.014518, -0.153500, 0.330827, 0.726501, -0.428727, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186564, 0.656580, 0.316398, 0.616621, 0.035556, 0.229136, 0.000000, 0.000000, 0.000000, 0.000000], [0.568351, 0.057973, -0.318819, 0.370875, -0.638878, -0.162040, 0.000000, 0.000000, 0.000000, 0.000000], [0.412469, -0.374085, 0.822353, 0.077523, -0.050506, 0.071447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026692, -0.498857, -0.302586, 0.417068, 0.151721, 0.679636, 0.000000, 0.000000, 0.000000, 0.000000], [0.562279, 0.420159, -0.082835, -0.439122, 0.192862, 0.520022, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.458594, 54.680450, 54.880359, 54.892308, 59.885145], [38.485053, 48.806233, 50.290141, 51.922184, 266.126959], [71.601181, 78.262095, 83.216921, 83.840122, 135.296840], [55.349974, 58.730746, 61.015916, 63.971493, 77.497290], [26.730339, 28.773112, 32.417546, 35.413139, 280.843134], [69.726854, 73.750086, 83.534641, 83.544132, 409.530876]]
### 2
mean: [9.886378, 10.916772, -9.159901, -4.198357, -3.287668, -1.634363]
std: [12.401192, 12.865490, 7.147496, 4.224677, 2.524673, 6.897777]
pca: [[0.596917, -0.162737, -0.058330, 0.235602, -0.287198, 0.689792, 0.000000, 0.000000, 0.000000, 0.000000], [0.619280, 0.118400, 0.571226, 0.191552, 0.124395, -0.473296, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331319, -0.577117, 0.660242, -0.083278, -0.322840, 0.100414, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201263, -0.157013, -0.215509, 0.859141, -0.263550, -0.284277, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114484, -0.253887, 0.130150, 0.316926, 0.847446, 0.294769, 0.000000, 0.000000, 0.000000, 0.000000], [-0.311121, 0.733023, 0.413517, 0.249596, -0.100963, 0.349848, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[205.580923, 216.074177, 221.121959, 229.019709, 889.774107], [205.611391, 224.377256, 237.677528, 237.844142, 982.509459], [117.351536, 126.437137, 131.350490, 134.705746, 824.390995], [71.334670, 73.998237, 76.622385, 80.465163, 377.852052], [44.325592, 45.617502, 46.106586, 47.106122, 295.890043], [113.906696, 115.143639, 119.580548, 120.004497, 147.092672]]
### 4
mean: [-10.053167, -6.998556, -1.279407, -6.423003, -4.376438, 10.926705]
std: [10.622149, 6.732243, 5.098264, 5.777100, 4.131437, 15.481430]
pca: [[-0.492172, -0.349859, -0.347632, -0.166665, 0.071367, 0.694008, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305289, -0.396938, 0.742607, -0.069523, -0.438952, -0.016185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213250, 0.552000, 0.015350, 0.599094, -0.431680, 0.322991, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257251, -0.426797, -0.492977, 0.373613, -0.309032, -0.523023, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189863, -0.185203, 0.290007, 0.601794, 0.695196, -0.009712, 0.000000, 0.000000, 0.000000, 0.000000], [0.718933, -0.445959, -0.017900, 0.326700, -0.192569, 0.374327, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[186.196502, 186.800587, 194.729670, 202.476193, 904.785023], [116.877542, 121.366321, 129.519341, 130.820313, 629.870034], [82.331206, 84.809021, 92.655311, 109.702829, 115.146614], [101.225372, 102.655402, 114.053879, 114.642647, 578.070276], [72.019752, 75.229360, 76.061238, 79.407795, 393.879384], [258.182968, 270.912301, 276.773411, 283.025308, 983.403385]]
### 6
mean: [9.757623, -3.409065, 7.258411, -5.496562, -1.713174, -1.728531]
std: [13.237659, 3.967114, 10.954827, 5.692169, 3.537374, 1.436370]
pca: [[0.706467, -0.022238, -0.033049, -0.066441, 0.192680, 0.676593, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209084, 0.238242, -0.294898, -0.470488, 0.767074, -0.052906, 0.000000, 0.000000, 0.000000, 0.000000], [0.582392, 0.366628, 0.368010, -0.085360, 0.091748, -0.612591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287947, 0.692545, 0.424144, -0.219760, -0.238382, 0.390448, 0.000000, 0.000000, 0.000000, 0.000000], [-0.180270, -0.401047, 0.761126, 0.123497, 0.450408, 0.096086, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050957, 0.409723, -0.131533, 0.838686, 0.326131, 0.049732, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[219.036431, 226.747474, 235.279281, 245.507765, 878.186071], [67.342167, 68.182464, 73.685713, 74.149052, 306.815812], [177.986602, 187.782743, 201.045087, 201.859882, 653.256984], [96.783659, 103.532681, 110.644284, 111.012599, 494.690585], [57.754497, 61.579926, 62.648081, 73.736378, 154.185645], [20.813604, 25.415920, 28.310864, 34.038781, 155.567815]]
### 8
mean: [8.831905, 13.490341, -5.433986, -17.789419, 10.104602, 5.838329]
std: [11.144470, 17.020056, 6.455935, 20.963839, 12.850311, 7.767676]
pca: [[-0.333010, 0.231138, -0.586728, -0.264776, 0.498107, 0.416187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508579, 0.355533, -0.068715, -0.430074, -0.360500, -0.543413, 0.000000, 0.000000, 0.000000, 0.000000], [0.192566, 0.397666, 0.339465, 0.001982, 0.707861, -0.434135, 0.000000, 0.000000, 0.000000, 0.000000], [0.626255, 0.643499, -0.252640, -0.066591, -0.326875, 0.136401, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383881, 0.392878, -0.055624, 0.829713, -0.079865, 0.019673, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231968, 0.305924, 0.684741, -0.228186, -0.087385, 0.569232, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[179.019232, 186.534309, 201.746121, 208.755980, 794.871556], [273.335002, 284.829394, 307.959464, 318.968519, 1214.130796], [108.959410, 111.305276, 119.619555, 120.873809, 489.058801], [351.157969, 352.934148, 385.012703, 393.101464, 1601.047795], [208.393730, 214.737375, 231.812841, 240.746138, 909.414274], [126.976222, 129.581776, 139.612757, 145.604166, 525.449590]]
### 10
mean: [18.667606, -16.338490, 15.649990, -11.518652, -19.081144, -10.931001]
std: [23.385485, 19.514536, 19.860628, 13.670639, 22.644909, 13.290975]
pca: [[0.498754, 0.641339, 0.187390, -0.434747, 0.258455, -0.221382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416196, 0.429714, 0.039406, -0.203311, 0.028891, 0.773566, 0.000000, 0.000000, 0.000000, 0.000000], [0.423577, -0.270455, 0.636641, 0.309293, 0.269511, 0.416924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291560, 0.333384, 0.618227, 0.258920, -0.522313, -0.285995, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482959, -0.337439, 0.406062, -0.506328, 0.416187, -0.241700, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283463, 0.325383, -0.104543, 0.592106, 0.643201, -0.196336, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[379.864199, 392.859630, 425.712627, 438.806350, 1680.084633], [316.573718, 327.407477, 355.067476, 366.079584, 1470.464131], [322.285556, 333.273265, 361.407277, 372.552320, 1408.499125], [221.824324, 229.414716, 248.768072, 256.455054, 1036.678650], [367.755179, 380.321322, 412.210372, 424.861782, 1717.302923], [215.641562, 222.994041, 241.833824, 249.318593, 983.790026]]
### 12
mean: [-14.754501]
std: [19.220076]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[312.877684, 323.581691, 350.425305, 360.649589, 1327.905226]]
## 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": [
[
1.569143,
-0.30098,
-0.140746,
0.104298,
-0.676561
],
[
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0.406308,
0.39061,
1.123397
],
[
2.118852,
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],
[
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-1.326499,
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],
[
-0.019084,
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],
[
2.021644,
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0.202361,
-0.729976
]
],
"network.0.bias": [
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0.005281,
0.739011,
0.008491,
-0.390047,
1.53817
],
"network.2.weight": [
[
0.301061,
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0.905123,
0.551777,
1.770344
],
[
0.548421,
-0.053239,
0.967622,
0.891757,
-0.10824,
1.534832
],
[
-0.894089,
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0.115729,
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0.160558,
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[
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0.05991,
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],
[
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],
[
0.074144,
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-1.124762
]
],
"network.2.bias": [
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0.205316,
-0.559565,
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0.720448
],
"network.4.weight": [
[
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],
[
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0.292495,
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],
[
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0.003551,
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[
0.039335,
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0.039746,
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[
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],
[
0.778412,
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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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0.043587,
-0.135522,
-0.098186
]
],
"network.6.bias": [
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0.084742,
0.043829,
-0.148747,
-0.092905
],
"network.8.weight": [
[
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0.449089,
0.378026,
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],
[
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0.831599,
0.2893,
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],
[
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[
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[
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],
[
0.090611,
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]
],
"network.8.bias": [
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0.032969,
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],
"network.10.weight": [
[
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0.669768
],
[
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],
[
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0.250752,
0.075696
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[
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],
[
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],
[
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]
],
"network.10.bias": [
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-0.203975
],
"network.12.weight": [
[
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-0.506633,
0.305025,
-0.449697,
0.037237
]
],
"network.12.bias": [
0.556589
]
}
## Activation Signature
### 0
mean: [0.327065, 2.956966, 1.503298, -0.677955, -3.120480, 4.550344]
std: [2.991820, 2.691654, 4.316813, 3.752606, 1.800772, 4.425029]
pca: [[0.393916, -0.014518, -0.153500, 0.330827, 0.726501, -0.428727, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186564, 0.656580, 0.316398, 0.616621, 0.035556, 0.229136, 0.000000, 0.000000, 0.000000, 0.000000], [0.568351, 0.057973, -0.318819, 0.370875, -0.638878, -0.162040, 0.000000, 0.000000, 0.000000, 0.000000], [0.412469, -0.374085, 0.822353, 0.077523, -0.050506, 0.071447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.026692, -0.498857, -0.302586, 0.417068, 0.151721, 0.679636, 0.000000, 0.000000, 0.000000, 0.000000], [0.562279, 0.420159, -0.082835, -0.439122, 0.192862, 0.520022, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.458594, 54.680450, 54.880359, 54.892308, 59.885145], [38.485053, 48.806233, 50.290141, 51.922184, 266.126959], [71.601181, 78.262095, 83.216921, 83.840122, 135.296840], [55.349974, 58.730746, 61.015916, 63.971493, 77.497290], [26.730339, 28.773112, 32.417546, 35.413139, 280.843134], [69.726854, 73.750086, 83.534641, 83.544132, 409.530876]]
### 2
mean: [9.886378, 10.916772, -9.159901, -4.198357, -3.287668, -1.634363]
std: [12.401192, 12.865490, 7.147496, 4.224677, 2.524673, 6.897777]
pca: [[0.596917, -0.162737, -0.058330, 0.235602, -0.287198, 0.689792, 0.000000, 0.000000, 0.000000, 0.000000], [0.619280, 0.118400, 0.571226, 0.191552, 0.124395, -0.473296, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331319, -0.577117, 0.660242, -0.083278, -0.322840, 0.100414, 0.000000, 0.000000, 0.000000, 0.000000], [-0.201263, -0.157013, -0.215509, 0.859141, -0.263550, -0.284277, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114484, -0.253887, 0.130150, 0.316926, 0.847446, 0.294769, 0.000000, 0.000000, 0.000000, 0.000000], [-0.311121, 0.733023, 0.413517, 0.249596, -0.100963, 0.349848, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[205.580923, 216.074177, 221.121959, 229.019709, 889.774107], [205.611391, 224.377256, 237.677528, 237.844142, 982.509459], [117.351536, 126.437137, 131.350490, 134.705746, 824.390995], [71.334670, 73.998237, 76.622385, 80.465163, 377.852052], [44.325592, 45.617502, 46.106586, 47.106122, 295.890043], [113.906696, 115.143639, 119.580548, 120.004497, 147.092672]]
### 4
mean: [-10.053167, -6.998556, -1.279407, -6.423003, -4.376438, 10.926705]
std: [10.622149, 6.732243, 5.098264, 5.777100, 4.131437, 15.481430]
pca: [[-0.492172, -0.349859, -0.347632, -0.166665, 0.071367, 0.694008, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305289, -0.396938, 0.742607, -0.069523, -0.438952, -0.016185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.213250, 0.552000, 0.015350, 0.599094, -0.431680, 0.322991, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257251, -0.426797, -0.492977, 0.373613, -0.309032, -0.523023, 0.000000, 0.000000, 0.000000, 0.000000], [-0.189863, -0.185203, 0.290007, 0.601794, 0.695196, -0.009712, 0.000000, 0.000000, 0.000000, 0.000000], [0.718933, -0.445959, -0.017900, 0.326700, -0.192569, 0.374327, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[186.196502, 186.800587, 194.729670, 202.476193, 904.785023], [116.877542, 121.366321, 129.519341, 130.820313, 629.870034], [82.331206, 84.809021, 92.655311, 109.702829, 115.146614], [101.225372, 102.655402, 114.053879, 114.642647, 578.070276], [72.019752, 75.229360, 76.061238, 79.407795, 393.879384], [258.182968, 270.912301, 276.773411, 283.025308, 983.403385]]
### 6
mean: [9.757623, -3.409065, 7.258411, -5.496562, -1.713174, -1.728531]
std: [13.237659, 3.967114, 10.954827, 5.692169, 3.537374, 1.436370]
pca: [[0.706467, -0.022238, -0.033049, -0.066441, 0.192680, 0.676593, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209084, 0.238242, -0.294898, -0.470488, 0.767074, -0.052906, 0.000000, 0.000000, 0.000000, 0.000000], [0.582392, 0.366628, 0.368010, -0.085360, 0.091748, -0.612591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.287947, 0.692545, 0.424144, -0.219760, -0.238382, 0.390448, 0.000000, 0.000000, 0.000000, 0.000000], [-0.180270, -0.401047, 0.761126, 0.123497, 0.450408, 0.096086, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050957, 0.409723, -0.131533, 0.838686, 0.326131, 0.049732, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[219.036431, 226.747474, 235.279281, 245.507765, 878.186071], [67.342167, 68.182464, 73.685713, 74.149052, 306.815812], [177.986602, 187.782743, 201.045087, 201.859882, 653.256984], [96.783659, 103.532681, 110.644284, 111.012599, 494.690585], [57.754497, 61.579926, 62.648081, 73.736378, 154.185645], [20.813604, 25.415920, 28.310864, 34.038781, 155.567815]]
### 8
mean: [8.831905, 13.490341, -5.433986, -17.789419, 10.104602, 5.838329]
std: [11.144470, 17.020056, 6.455935, 20.963839, 12.850311, 7.767676]
pca: [[-0.333010, 0.231138, -0.586728, -0.264776, 0.498107, 0.416187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.508579, 0.355533, -0.068715, -0.430074, -0.360500, -0.543413, 0.000000, 0.000000, 0.000000, 0.000000], [0.192566, 0.397666, 0.339465, 0.001982, 0.707861, -0.434135, 0.000000, 0.000000, 0.000000, 0.000000], [0.626255, 0.643499, -0.252640, -0.066591, -0.326875, 0.136401, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383881, 0.392878, -0.055624, 0.829713, -0.079865, 0.019673, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231968, 0.305924, 0.684741, -0.228186, -0.087385, 0.569232, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[179.019232, 186.534309, 201.746121, 208.755980, 794.871556], [273.335002, 284.829394, 307.959464, 318.968519, 1214.130796], [108.959410, 111.305276, 119.619555, 120.873809, 489.058801], [351.157969, 352.934148, 385.012703, 393.101464, 1601.047795], [208.393730, 214.737375, 231.812841, 240.746138, 909.414274], [126.976222, 129.581776, 139.612757, 145.604166, 525.449590]]
### 10
mean: [18.667606, -16.338490, 15.649990, -11.518652, -19.081144, -10.931001]
std: [23.385485, 19.514536, 19.860628, 13.670639, 22.644909, 13.290975]
pca: [[0.498754, 0.641339, 0.187390, -0.434747, 0.258455, -0.221382, 0.000000, 0.000000, 0.000000, 0.000000], [-0.416196, 0.429714, 0.039406, -0.203311, 0.028891, 0.773566, 0.000000, 0.000000, 0.000000, 0.000000], [0.423577, -0.270455, 0.636641, 0.309293, 0.269511, 0.416924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291560, 0.333384, 0.618227, 0.258920, -0.522313, -0.285995, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482959, -0.337439, 0.406062, -0.506328, 0.416187, -0.241700, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283463, 0.325383, -0.104543, 0.592106, 0.643201, -0.196336, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[379.864199, 392.859630, 425.712627, 438.806350, 1680.084633], [316.573718, 327.407477, 355.067476, 366.079584, 1470.464131], [322.285556, 333.273265, 361.407277, 372.552320, 1408.499125], [221.824324, 229.414716, 248.768072, 256.455054, 1036.678650], [367.755179, 380.321322, 412.210372, 424.861782, 1717.302923], [215.641562, 222.994041, 241.833824, 249.318593, 983.790026]]
### 12
mean: [-14.754501]
std: [19.220076]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[312.877684, 323.581691, 350.425305, 360.649589, 1327.905226]]
## 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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"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": [[1.569143, -0.30098, -0.140746, 0.104298, -0.676561], [-0.579876, 0.330043, 0.406308, 0.39061, 1.123397], [2.118852, 0.053649, -0.208715, -0.288245, -0.742833], [1.548171, 0.186391, -1.326499, 0.370271, -0.791207], [-0.019084, -0.561936, -0.267142, -0.328387, -0.340925], [2.021644, 0.331961, 0.171285, 0.202361, -0.729976]], "network.0.bias": [-0.172428, 0.005281, 0.739011, 0.008491, -0.390047, 1.53817], "network.2.weight": [[0.301061, -0.432864, 0.626444, 0.905123, 0.551777, 1.770344], [0.548421, -0.053239, 0.967622, 0.891757, -0.10824, 1.534832], [-0.894089, -0.586413, 0.115729, -0.308941, 0.160558, -1.22388], [-0.455632, -0.089503, -0.372075, 0.05991, -0.311901, -0.469705], [-0.045825, -0.273342, -0.218188, -0.045004, 0.252169, -0.379528], [0.074144, 1.107318, -0.07826, -0.403057, -0.348183, -1.124762]], "network.2.bias": [0.286842, 0.205316, -0.559565, -0.430529, -0.113155, 0.720448], "network.4.weight": [[-0.255977, -0.617644, -0.094908, 0.026567, -0.292281, -0.4241], [-0.501643, -0.087273, 0.292495, -0.192413, -0.38315, -0.557024], [-0.320489, 0.028146, 0.003551, -0.24516, 0.3861, 0.871692], [0.039335, -0.519513, 0.383097, 0.039746, -0.046845, -0.581488], [-0.256421, -0.097624, -0.200612, -0.122371, -0.337298, -0.249441], [0.778412, 0.388015, -0.06725, -0.02919, -0.318583, -0.808867]], "network.4.bias": [-0.066349, -0.110204, 0.39808, -0.288502, -0.327671, -0.0622], "network.6.weight": [[-0.070574, 0.107084, -0.471987, 0.39215, 0.209653, 0.873194], [0.059742, -0.486657, -0.099128, -0.173376, -0.133836, -0.27841], [0.060272, 0.186717, -0.78594, 0.136945, 0.230928, 0.686633], [0.109397, 0.462806, -0.512217, 0.562443, -0.191049, -0.414858], [-0.055469, -0.171636, 0.539721, 0.196276, 0.190634, -0.187732], [-0.242591, 0.363308, -0.386682, 0.043587, -0.135522, -0.098186]], "network.6.bias": [-0.009717, 0.010172, 0.084742, 0.043829, -0.148747, -0.092905], "network.8.weight": [[0.568448, 0.449089, 0.378026, -0.07373, -0.170336, -0.190594], [0.667558, 0.025727, 0.831599, 0.2893, -0.258745, 0.181407], [-0.448093, -0.362884, -0.086948, -0.006601, -0.311821, 0.363058], [-0.987602, 0.063989, -0.854211, -0.137836, -0.51757, 0.187634], [0.470171, 0.19018, 0.665819, -0.171915, -0.29135, -0.060894], [0.090611, -0.277537, 0.645166, -0.162274, -0.22604, 0.304895]], "network.8.bias": [0.017044, 0.02213, 0.066715, -0.380945, 0.032969, -0.202655], "network.10.weight": [[0.39988, 0.498926, 0.191253, -0.643105, 0.426815, 0.669768], [-0.323303, -0.19035, -0.123247, -0.594581, -0.985234, -0.025762], [0.220532, 0.80814, 0.245343, -0.025175, 0.250752, 0.075696], [-0.33372, -0.069639, 0.223407, -0.00928, -0.641729, -0.084457], [-0.529522, -0.483744, -0.398974, 0.035683, -0.369184, -0.514168], [-0.02238, -0.632798, -0.182862, -0.37163, -0.181125, -0.006267]], "network.10.bias": [-0.116595, -0.584206, -0.36979, -0.49194, -0.873927, -0.203975], "network.12.weight": [[-0.393113, 0.262167, -0.506633, 0.305025, -0.449697, 0.037237]], "network.12.bias": [0.556589]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7114613652229309, "train_acc": 0.46, "val_loss": 0.7489466667175293, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6928658485412598, "train_acc": 0.59, "val_loss": 0.6743972301483154, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6535729169845581, "train_acc": 0.53, "val_loss": 0.9440129995346069, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6856711506843567, "train_acc": 0.6, "val_loss": 0.5751621723175049, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6101380288600922, "train_acc": 0.66, "val_loss": 0.5580632090568542, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5967626571655273, "train_acc": 0.68, "val_loss": 0.605276346206665, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5748288929462433, "train_acc": 0.695, "val_loss": 0.4646887183189392, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5556723773479462, "train_acc": 0.715, "val_loss": 0.4461323618888855, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5140305459499359, "train_acc": 0.73, "val_loss": 0.447099506855011, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5231578350067139, "train_acc": 0.715, "val_loss": 0.3681895434856415, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.49846288561820984, "train_acc": 0.74, "val_loss": 0.36700543761253357, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.49189870059490204, "train_acc": 0.74, "val_loss": 0.34394097328186035, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7489466667175293, "final_val_loss": 0.6743972301483154, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.9440129995346069, "final_val_loss": 0.34394097328186035, "initial_val_acc": 0.52, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 11}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
9,902
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7209, "learning_rate": 0.045931460020569144, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-4.910253, 0.979704, 0.522165, 1.115258, 1.044017]
std: [2.614530, 1.601168, 1.274271, 2.002645, 1.584893]
pca: [[0.818116, -0.421132, 0.217284, 0.284572, 0.158559, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341068, -0.437750, -0.394423, 0.250352, 0.688333, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.003406, 0.302490, 0.578114, -0.371563, 0.660464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.263178, 0.734519, -0.346697, 0.467631, 0.228784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380900, -0.002343, 0.585494, 0.706828, -0.111809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.199488, 42.573436, 44.656371, 50.282191, 441.922685], [24.995110, 25.545185, 26.269322, 27.519191, 88.173348], [19.424624, 19.644145, 21.362039, 22.520535, 46.994828], [28.264297, 31.387181, 32.873050, 35.047098, 100.373237], [24.049039, 24.564331, 26.098364, 38.315915, 93.961531]]
### 2
mean: [1.442404, -0.609946, 1.371157, -0.348856, 0.827491]
std: [2.034200, 0.362124, 1.148861, 0.789747, 1.484624]
pca: [[0.738416, -0.492644, -0.196816, -0.405230, -0.095375, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058849, -0.071149, 0.541797, -0.449607, 0.704120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.424345, 0.094983, -0.222062, 0.621416, 0.612732, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.222758, -0.285599, 0.755199, 0.456848, -0.299627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.470732, 0.813420, 0.219277, -0.196911, -0.172925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.944789, 35.537574, 37.550647, 38.144493, 129.816314], [5.487381, 5.904228, 6.474411, 6.716351, 54.895181], [16.767694, 19.142750, 20.237158, 23.350917, 123.404140], [12.067512, 12.795122, 13.192739, 13.593840, 31.397039], [21.852348, 22.029172, 22.992297, 32.108958, 74.474214]]
### 4
mean: [-0.199144, 1.822717, -1.411006, 2.895561, -1.186338]
std: [0.536740, 1.758400, 0.984129, 2.600489, 1.738372]
pca: [[-0.123205, 0.559605, 0.783848, 0.162545, -0.175568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.462844, 0.694702, -0.475050, 0.277228, 0.025231, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259310, 0.376874, -0.038980, -0.634828, 0.621448, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697019, -0.246689, 0.391452, 0.075877, 0.542511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466390, -0.036625, -0.071809, 0.698541, 0.536678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.180844, 9.962367, 10.887475, 11.166972, 17.922935], [26.092696, 26.301466, 27.972255, 36.315797, 164.044497], [16.031543, 17.797076, 19.127147, 19.267152, 126.990503], [37.258781, 44.507555, 47.812389, 52.075306, 260.600495], [25.109333, 28.886011, 30.888324, 35.125615, 106.770412]]
### 6
mean: [-2.103369, 2.440443, -1.342389, 2.716811, 2.918425]
std: [1.330493, 2.410444, 0.464224, 2.687267, 2.783687]
pca: [[-0.277559, -0.461807, -0.317988, 0.192423, 0.756011, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.505620, 0.412232, -0.508007, -0.449433, 0.338160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087725, 0.554633, -0.325774, 0.760253, -0.023939, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563510, -0.554462, -0.392112, 0.289835, -0.370503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.584868, 0.041870, 0.617197, 0.314634, 0.419821, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.323975, 23.293307, 25.093599, 26.287085, 189.303230], [34.096642, 41.832418, 44.756451, 48.076982, 219.639864], [6.638108, 6.883483, 7.102386, 9.896312, 120.814976], [39.055929, 43.888300, 46.667778, 54.502956, 244.512983], [39.632275, 46.670208, 50.000134, 55.967281, 262.658214]]
### 8
mean: [4.606007, 3.035454, 3.057065, 2.226855, 2.075863]
std: [4.601345, 2.979097, 2.866053, 2.312183, 2.112654]
pca: [[0.663688, -0.579545, -0.064316, -0.468511, -0.002395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429759, -0.011287, -0.334673, 0.671266, -0.502569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413435, 0.197754, -0.025475, 0.340350, 0.820657, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333509, 0.233304, 0.883428, 0.063717, -0.223239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.304414, 0.755290, -0.320567, -0.458258, -0.155260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.652587, 76.655565, 81.934683, 93.007664, 414.540668], [42.330402, 50.035185, 53.515443, 60.105595, 273.190816], [40.613456, 48.305833, 51.711883, 57.722877, 275.135829], [32.771497, 38.929021, 41.735418, 46.467981, 200.416931], [30.388166, 36.212648, 38.833199, 42.323511, 186.827668]]
### 10
mean: [-5.244319]
std: [5.750268]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[81.439804, 96.240621, 102.832506, 116.010751, 471.988704]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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[
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## Activation Signature
### 0
mean: [-4.910253, 0.979704, 0.522165, 1.115258, 1.044017]
std: [2.614530, 1.601168, 1.274271, 2.002645, 1.584893]
pca: [[0.818116, -0.421132, 0.217284, 0.284572, 0.158559, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341068, -0.437750, -0.394423, 0.250352, 0.688333, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.003406, 0.302490, 0.578114, -0.371563, 0.660464, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.263178, 0.734519, -0.346697, 0.467631, 0.228784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380900, -0.002343, 0.585494, 0.706828, -0.111809, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.199488, 42.573436, 44.656371, 50.282191, 441.922685], [24.995110, 25.545185, 26.269322, 27.519191, 88.173348], [19.424624, 19.644145, 21.362039, 22.520535, 46.994828], [28.264297, 31.387181, 32.873050, 35.047098, 100.373237], [24.049039, 24.564331, 26.098364, 38.315915, 93.961531]]
### 2
mean: [1.442404, -0.609946, 1.371157, -0.348856, 0.827491]
std: [2.034200, 0.362124, 1.148861, 0.789747, 1.484624]
pca: [[0.738416, -0.492644, -0.196816, -0.405230, -0.095375, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.058849, -0.071149, 0.541797, -0.449607, 0.704120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.424345, 0.094983, -0.222062, 0.621416, 0.612732, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.222758, -0.285599, 0.755199, 0.456848, -0.299627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.470732, 0.813420, 0.219277, -0.196911, -0.172925, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.944789, 35.537574, 37.550647, 38.144493, 129.816314], [5.487381, 5.904228, 6.474411, 6.716351, 54.895181], [16.767694, 19.142750, 20.237158, 23.350917, 123.404140], [12.067512, 12.795122, 13.192739, 13.593840, 31.397039], [21.852348, 22.029172, 22.992297, 32.108958, 74.474214]]
### 4
mean: [-0.199144, 1.822717, -1.411006, 2.895561, -1.186338]
std: [0.536740, 1.758400, 0.984129, 2.600489, 1.738372]
pca: [[-0.123205, 0.559605, 0.783848, 0.162545, -0.175568, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.462844, 0.694702, -0.475050, 0.277228, 0.025231, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259310, 0.376874, -0.038980, -0.634828, 0.621448, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.697019, -0.246689, 0.391452, 0.075877, 0.542511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466390, -0.036625, -0.071809, 0.698541, 0.536678, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.180844, 9.962367, 10.887475, 11.166972, 17.922935], [26.092696, 26.301466, 27.972255, 36.315797, 164.044497], [16.031543, 17.797076, 19.127147, 19.267152, 126.990503], [37.258781, 44.507555, 47.812389, 52.075306, 260.600495], [25.109333, 28.886011, 30.888324, 35.125615, 106.770412]]
### 6
mean: [-2.103369, 2.440443, -1.342389, 2.716811, 2.918425]
std: [1.330493, 2.410444, 0.464224, 2.687267, 2.783687]
pca: [[-0.277559, -0.461807, -0.317988, 0.192423, 0.756011, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.505620, 0.412232, -0.508007, -0.449433, 0.338160, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087725, 0.554633, -0.325774, 0.760253, -0.023939, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.563510, -0.554462, -0.392112, 0.289835, -0.370503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.584868, 0.041870, 0.617197, 0.314634, 0.419821, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.323975, 23.293307, 25.093599, 26.287085, 189.303230], [34.096642, 41.832418, 44.756451, 48.076982, 219.639864], [6.638108, 6.883483, 7.102386, 9.896312, 120.814976], [39.055929, 43.888300, 46.667778, 54.502956, 244.512983], [39.632275, 46.670208, 50.000134, 55.967281, 262.658214]]
### 8
mean: [4.606007, 3.035454, 3.057065, 2.226855, 2.075863]
std: [4.601345, 2.979097, 2.866053, 2.312183, 2.112654]
pca: [[0.663688, -0.579545, -0.064316, -0.468511, -0.002395, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.429759, -0.011287, -0.334673, 0.671266, -0.502569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.413435, 0.197754, -0.025475, 0.340350, 0.820657, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333509, 0.233304, 0.883428, 0.063717, -0.223239, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.304414, 0.755290, -0.320567, -0.458258, -0.155260, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[65.652587, 76.655565, 81.934683, 93.007664, 414.540668], [42.330402, 50.035185, 53.515443, 60.105595, 273.190816], [40.613456, 48.305833, 51.711883, 57.722877, 275.135829], [32.771497, 38.929021, 41.735418, 46.467981, 200.416931], [30.388166, 36.212648, 38.833199, 42.323511, 186.827668]]
### 10
mean: [-5.244319]
std: [5.750268]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[81.439804, 96.240621, 102.832506, 116.010751, 471.988704]]
## 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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[32.77149674647958, 38.92902067851945, 41.73541836819911, 46.46798068076157, 200.4169312864542]}, "4": {"mean": 2.0758628845214844, "std": 2.1126537322998047, "pca": [0.30441397428512573, 0.7552895545959473, -0.3205673396587372, -0.4582584500312805, -0.15525972843170166, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [30.388165794041484, 36.21264811918739, 38.83319900213908, 42.32351138877582, 186.827668055892]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -5.244318962097168, "std": 5.750268459320068, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [81.43980440106807, 96.240621419556, 102.83250608664405, 116.01075079680541, 471.98870438337326]}}, "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": "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.361456, -0.349111, -0.794892, -0.567244, -0.064263], [0.649697, 0.3946, -0.240617, -0.121832, -0.110292], [-0.502634, -0.085237, 0.567144, -0.069529, 0.032655], [-0.439268, -0.298939, -0.114567, 0.677975, 0.467049], [0.008972, 0.162255, 0.6315, -0.368609, 0.233384]], "network.0.bias": [-0.86816, 0.352054, 0.22711, 0.416046, -0.079325], "network.2.weight": [[0.257, -0.626413, 0.714993, 0.74482, 0.417986], [-0.085532, -0.217456, -0.231547, -0.23708, -0.037111], [0.083253, -0.098229, 0.613066, 0.56584, -0.038904], [0.140025, -0.446301, 0.260776, -0.050718, -0.075121], [0.072812, -0.114707, 0.383287, 0.716693, -0.389332]], "network.2.bias": [0.020895, 0.192988, 0.255959, 0.117711, 0.120973], "network.4.weight": [[-0.489112, 0.168565, 0.271119, -0.089481, 0.014917], [0.233986, 0.153772, 0.520354, 0.007623, 0.737174], [-0.398873, 0.083858, -0.142566, -0.406696, -0.138787], [0.728232, -0.495479, 0.849374, 0.20835, 0.469883], [-0.445335, 0.720012, -0.629064, 0.230377, -0.344185]], "network.4.bias": [0.259882, -0.082225, -0.328923, -0.066341, 0.794428], "network.6.weight": [[-0.004912, 0.204843, -0.568283, -0.648411, -0.025108], [0.068541, 0.031643, 0.145483, 0.851588, -0.862915], [-0.731438, -0.4113, -0.251678, 0.071621, -0.132016], [-0.223111, 0.862882, 0.1544, 0.403742, -0.733314], [-0.285713, 0.343719, 0.008306, 0.842092, 0.08599]], "network.6.bias": [-0.591012, 0.043644, -0.681872, 0.11189, -0.135648], "network.8.weight": [[0.018922, 0.310762, -0.169661, 0.560174, 0.883565], [0.19319, 0.403685, 0.267282, 0.239599, 0.519242], [-0.31477, 0.405562, 0.166378, 0.111695, 0.596452], [0.210884, 0.163318, 0.597213, -0.034232, 0.733651], [0.432794, 0.596972, -0.039474, -0.144095, 0.403243]], "network.8.bias": [-0.346633, -0.185039, -0.037175, -0.247788, -0.220236], "network.10.weight": [[-0.549503, -0.161327, -0.546461, -0.102537, -0.477091]], "network.10.bias": [0.730347]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816580295562744, "train_acc": 0.58, "val_loss": 0.6887660026550293, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6246975958347321, "train_acc": 0.58, "val_loss": 0.6236739754676819, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5888943672180176, "train_acc": 0.505, "val_loss": 0.5128152370452881, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.47103260457515717, "train_acc": 0.645, "val_loss": 0.5615533590316772, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.45224444568157196, "train_acc": 0.845, "val_loss": 0.42027801275253296, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4052470177412033, "train_acc": 0.875, "val_loss": 0.4123902916908264, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.38760945200920105, "train_acc": 0.88, "val_loss": 0.37724655866622925, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3351260721683502, "train_acc": 0.92, "val_loss": 0.3678581714630127, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.324511781334877, "train_acc": 0.905, "val_loss": 0.3456195890903473, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.30357132852077484, "train_acc": 0.925, "val_loss": 0.3164115250110626, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.27864356338977814, "train_acc": 0.93, "val_loss": 0.3347267508506775, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2695034593343735, "train_acc": 0.93, "val_loss": 0.298909068107605, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6887660026550293, "final_val_loss": 0.6236739754676819, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5128152370452881, "final_val_loss": 0.298909068107605, "initial_val_acc": 0.48, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.44000000000000006, "first_improvement_epoch": 1}}
|
9,903
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6397, "learning_rate": 0.028429579142586092, "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: 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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],
[
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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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"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: [1.105820, 1.624904, 3.084979, 1.926207, 1.483903, 0.088488, -0.921920, 1.934806]
std: [1.036875, 1.434462, 2.656336, 2.099975, 2.035717, 1.315723, 2.957423, 1.659588]
pca: [[-0.044726, 0.459211, -0.202106, 0.280472, 0.321133, 0.367510, -0.534671, 0.378880, 0.000000, 0.000000], [-0.262706, -0.028719, 0.416979, -0.010056, 0.775179, -0.254636, -0.080381, -0.289801, 0.000000, 0.000000], [-0.508631, 0.080539, -0.074385, 0.652323, -0.340087, -0.286053, -0.130528, -0.298708, 0.000000, 0.000000], [-0.379355, 0.263854, 0.398378, -0.514656, -0.362478, 0.272437, -0.338773, -0.206193, 0.000000, 0.000000], [-0.372000, 0.365666, 0.036148, -0.197674, -0.022436, -0.455320, 0.332080, 0.607804, 0.000000, 0.000000], [0.083286, 0.601309, 0.051357, 0.151036, 0.073375, 0.341189, 0.607956, -0.338580, 0.000000, 0.000000], [0.559315, 0.243790, 0.622432, 0.257496, -0.205250, -0.293122, -0.181363, 0.114309, 0.000000, 0.000000], [-0.261180, -0.396833, 0.479247, 0.320386, -0.030106, 0.484151, 0.251158, 0.378940, 0.000000, 0.000000]]
fourier: [[16.845141, 18.230558, 19.962748, 20.638014, 99.523754], [23.827690, 24.287133, 25.052556, 26.458347, 146.241343], [43.769225, 43.853970, 45.722781, 45.905203, 277.648142], [36.104842, 36.552677, 37.120973, 44.085658, 173.358617], [33.143123, 34.648007, 39.150224, 41.264801, 133.551281], [18.036478, 21.945905, 22.169441, 22.511476, 30.589340], [43.843021, 47.777332, 49.362851, 54.261226, 82.972846], [26.172737, 26.776981, 31.323512, 32.773196, 174.132539]]
### 2
mean: [6.549352, -3.342403, 3.090206, 6.253630, -0.770736, -0.924372, 0.318252, 0.783053]
std: [5.244321, 2.345060, 2.839723, 5.157522, 1.734100, 1.994784, 0.877464, 1.054980]
pca: [[0.608966, 0.216067, 0.000396, -0.161791, -0.114741, 0.160303, 0.212505, 0.687225, 0.000000, 0.000000], [-0.263022, -0.356489, -0.417640, 0.540899, -0.069030, 0.059653, 0.491043, 0.295453, 0.000000, 0.000000], [0.329720, -0.063864, -0.072720, -0.027538, -0.422233, 0.525655, 0.318572, -0.570156, 0.000000, 0.000000], [0.598973, 0.005833, -0.007598, 0.563474, 0.075015, -0.501164, -0.083406, -0.244718, 0.000000, 0.000000], [-0.185721, 0.490115, 0.234467, -0.103452, -0.010075, -0.384597, 0.700882, -0.142712, 0.000000, 0.000000], [-0.209579, 0.595414, 0.213607, 0.565956, -0.196127, 0.356306, -0.248277, 0.092544, 0.000000, 0.000000], [-0.007094, -0.475226, 0.841484, 0.142632, -0.127456, 0.034967, 0.112696, 0.124508, 0.000000, 0.000000], [0.118449, 0.039347, 0.107391, 0.107882, 0.862177, 0.408869, 0.199239, -0.105026, 0.000000, 0.000000]]
fourier: [[86.962118, 89.216174, 94.768019, 95.939645, 589.441746], [38.954851, 40.551615, 42.259208, 43.377591, 300.816261], [46.727935, 47.708420, 50.320321, 52.553115, 278.118583], [84.423854, 85.244996, 92.639722, 94.256563, 562.826697], [28.157557, 28.589419, 31.567553, 33.243114, 69.366219], [32.274172, 34.070699, 35.397700, 37.371505, 83.193491], [13.784616, 14.578515, 15.518675, 18.596135, 28.642699], [17.044515, 17.794698, 18.725186, 20.617543, 70.474764]]
### 4
mean: [-0.494999, 9.439666, 6.298994, -1.806663, -1.302779, -1.576619, 6.243937, -3.756521]
std: [1.271970, 7.819615, 5.369660, 0.903270, 1.725285, 0.962298, 4.730702, 2.828016]
pca: [[-0.098822, 0.523466, 0.590345, -0.001247, -0.260264, 0.214658, -0.017070, 0.503589, 0.000000, 0.000000], [0.698236, -0.012596, 0.510744, -0.237763, 0.051368, 0.016343, -0.072840, -0.432096, 0.000000, 0.000000], [0.479542, -0.014357, -0.146300, 0.588334, 0.395244, 0.254702, -0.209444, 0.370588, 0.000000, 0.000000], [-0.074975, -0.278693, 0.181963, -0.517605, 0.629627, -0.127215, 0.083412, 0.442846, 0.000000, 0.000000], [-0.144348, 0.575265, 0.090451, 0.260074, 0.507311, -0.417587, 0.245945, -0.283163, 0.000000, 0.000000], [-0.085898, -0.016885, -0.000490, -0.008292, 0.172904, 0.718984, 0.638524, -0.194219, 0.000000, 0.000000], [0.422600, -0.023640, -0.156626, 0.017386, -0.296937, -0.387464, 0.672072, 0.325632, 0.000000, 0.000000], [-0.245590, -0.562294, 0.550824, 0.511279, -0.039296, -0.176502, 0.153935, -0.048011, 0.000000, 0.000000]]
fourier: [[20.314219, 21.946404, 22.613191, 23.207562, 44.549890], [126.590955, 128.792142, 140.745160, 148.732921, 849.569944], [85.658009, 88.733765, 97.272847, 98.951936, 566.909385], [14.388798, 15.081934, 15.854370, 16.537110, 162.599685], [28.428176, 28.926655, 30.660542, 35.788693, 117.250126], [15.889900, 16.084604, 17.243542, 17.424692, 141.895684], [75.842110, 78.874707, 85.540513, 87.719026, 561.954390], [44.494003, 45.865799, 51.371386, 52.518128, 338.086879]]
### 6
mean: [13.786521, -2.254557, 6.329951, -7.457075, -2.465010, 6.627628, -8.956702, 7.670713]
std: [11.107228, 1.455614, 5.192090, 5.690262, 1.743224, 5.480980, 6.856216, 6.015985]
pca: [[0.640559, 0.162568, -0.329030, -0.488932, 0.395206, -0.126112, -0.205747, -0.038950, 0.000000, 0.000000], [-0.083603, 0.189147, -0.210560, 0.352896, 0.646906, 0.105079, 0.587560, -0.116651, 0.000000, 0.000000], [0.299335, 0.191885, -0.452093, 0.135050, -0.622968, -0.233495, 0.448326, -0.085714, 0.000000, 0.000000], [-0.327772, 0.422568, -0.180645, 0.031190, 0.086576, -0.462123, -0.147482, 0.661507, 0.000000, 0.000000], [-0.100510, 0.035309, -0.063118, -0.520979, -0.117931, 0.595091, 0.377433, 0.450279, 0.000000, 0.000000], [0.315066, 0.651737, 0.672768, 0.060521, -0.069906, 0.061400, 0.104980, -0.003900, 0.000000, 0.000000], [-0.394859, 0.544171, -0.323648, -0.104877, -0.097973, 0.314824, -0.325406, -0.466493, 0.000000, 0.000000], [0.346954, 0.016794, -0.221437, 0.575428, -0.036692, 0.497955, -0.361012, 0.345766, 0.000000, 0.000000]]
fourier: [[180.687091, 183.385834, 203.846717, 208.341934, 1240.786882], [23.633291, 24.938394, 25.707228, 26.952024, 202.910120], [83.433686, 86.074121, 94.710679, 98.387153, 569.695519], [92.223863, 95.952001, 103.251102, 105.328472, 671.136708], [28.871545, 28.919090, 32.134511, 32.135150, 221.850930], [87.056493, 92.505357, 99.544289, 104.641064, 596.486507], [111.105843, 115.942280, 124.033889, 127.053537, 806.103244], [98.405170, 99.410328, 110.432480, 112.417622, 690.364223]]
### 8
mean: [-16.578432]
std: [13.431835]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[220.788351, 225.540421, 246.784085, 248.757877, 1492.058838]]
## 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: 4
Neurons per Layer: 8
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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[
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[
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0.588438
],
[
0.079047,
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-0.435725
]
],
"network.0.bias": [
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-0.087519,
0.636563,
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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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0.171943,
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"network.2.bias": [
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"network.4.weight": [
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[
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0.011029,
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0.568721,
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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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[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.555672
]
}
## Activation Signature
### 0
mean: [1.105820, 1.624904, 3.084979, 1.926207, 1.483903, 0.088488, -0.921920, 1.934806]
std: [1.036875, 1.434462, 2.656336, 2.099975, 2.035717, 1.315723, 2.957423, 1.659588]
pca: [[-0.044726, 0.459211, -0.202106, 0.280472, 0.321133, 0.367510, -0.534671, 0.378880, 0.000000, 0.000000], [-0.262706, -0.028719, 0.416979, -0.010056, 0.775179, -0.254636, -0.080381, -0.289801, 0.000000, 0.000000], [-0.508631, 0.080539, -0.074385, 0.652323, -0.340087, -0.286053, -0.130528, -0.298708, 0.000000, 0.000000], [-0.379355, 0.263854, 0.398378, -0.514656, -0.362478, 0.272437, -0.338773, -0.206193, 0.000000, 0.000000], [-0.372000, 0.365666, 0.036148, -0.197674, -0.022436, -0.455320, 0.332080, 0.607804, 0.000000, 0.000000], [0.083286, 0.601309, 0.051357, 0.151036, 0.073375, 0.341189, 0.607956, -0.338580, 0.000000, 0.000000], [0.559315, 0.243790, 0.622432, 0.257496, -0.205250, -0.293122, -0.181363, 0.114309, 0.000000, 0.000000], [-0.261180, -0.396833, 0.479247, 0.320386, -0.030106, 0.484151, 0.251158, 0.378940, 0.000000, 0.000000]]
fourier: [[16.845141, 18.230558, 19.962748, 20.638014, 99.523754], [23.827690, 24.287133, 25.052556, 26.458347, 146.241343], [43.769225, 43.853970, 45.722781, 45.905203, 277.648142], [36.104842, 36.552677, 37.120973, 44.085658, 173.358617], [33.143123, 34.648007, 39.150224, 41.264801, 133.551281], [18.036478, 21.945905, 22.169441, 22.511476, 30.589340], [43.843021, 47.777332, 49.362851, 54.261226, 82.972846], [26.172737, 26.776981, 31.323512, 32.773196, 174.132539]]
### 2
mean: [6.549352, -3.342403, 3.090206, 6.253630, -0.770736, -0.924372, 0.318252, 0.783053]
std: [5.244321, 2.345060, 2.839723, 5.157522, 1.734100, 1.994784, 0.877464, 1.054980]
pca: [[0.608966, 0.216067, 0.000396, -0.161791, -0.114741, 0.160303, 0.212505, 0.687225, 0.000000, 0.000000], [-0.263022, -0.356489, -0.417640, 0.540899, -0.069030, 0.059653, 0.491043, 0.295453, 0.000000, 0.000000], [0.329720, -0.063864, -0.072720, -0.027538, -0.422233, 0.525655, 0.318572, -0.570156, 0.000000, 0.000000], [0.598973, 0.005833, -0.007598, 0.563474, 0.075015, -0.501164, -0.083406, -0.244718, 0.000000, 0.000000], [-0.185721, 0.490115, 0.234467, -0.103452, -0.010075, -0.384597, 0.700882, -0.142712, 0.000000, 0.000000], [-0.209579, 0.595414, 0.213607, 0.565956, -0.196127, 0.356306, -0.248277, 0.092544, 0.000000, 0.000000], [-0.007094, -0.475226, 0.841484, 0.142632, -0.127456, 0.034967, 0.112696, 0.124508, 0.000000, 0.000000], [0.118449, 0.039347, 0.107391, 0.107882, 0.862177, 0.408869, 0.199239, -0.105026, 0.000000, 0.000000]]
fourier: [[86.962118, 89.216174, 94.768019, 95.939645, 589.441746], [38.954851, 40.551615, 42.259208, 43.377591, 300.816261], [46.727935, 47.708420, 50.320321, 52.553115, 278.118583], [84.423854, 85.244996, 92.639722, 94.256563, 562.826697], [28.157557, 28.589419, 31.567553, 33.243114, 69.366219], [32.274172, 34.070699, 35.397700, 37.371505, 83.193491], [13.784616, 14.578515, 15.518675, 18.596135, 28.642699], [17.044515, 17.794698, 18.725186, 20.617543, 70.474764]]
### 4
mean: [-0.494999, 9.439666, 6.298994, -1.806663, -1.302779, -1.576619, 6.243937, -3.756521]
std: [1.271970, 7.819615, 5.369660, 0.903270, 1.725285, 0.962298, 4.730702, 2.828016]
pca: [[-0.098822, 0.523466, 0.590345, -0.001247, -0.260264, 0.214658, -0.017070, 0.503589, 0.000000, 0.000000], [0.698236, -0.012596, 0.510744, -0.237763, 0.051368, 0.016343, -0.072840, -0.432096, 0.000000, 0.000000], [0.479542, -0.014357, -0.146300, 0.588334, 0.395244, 0.254702, -0.209444, 0.370588, 0.000000, 0.000000], [-0.074975, -0.278693, 0.181963, -0.517605, 0.629627, -0.127215, 0.083412, 0.442846, 0.000000, 0.000000], [-0.144348, 0.575265, 0.090451, 0.260074, 0.507311, -0.417587, 0.245945, -0.283163, 0.000000, 0.000000], [-0.085898, -0.016885, -0.000490, -0.008292, 0.172904, 0.718984, 0.638524, -0.194219, 0.000000, 0.000000], [0.422600, -0.023640, -0.156626, 0.017386, -0.296937, -0.387464, 0.672072, 0.325632, 0.000000, 0.000000], [-0.245590, -0.562294, 0.550824, 0.511279, -0.039296, -0.176502, 0.153935, -0.048011, 0.000000, 0.000000]]
fourier: [[20.314219, 21.946404, 22.613191, 23.207562, 44.549890], [126.590955, 128.792142, 140.745160, 148.732921, 849.569944], [85.658009, 88.733765, 97.272847, 98.951936, 566.909385], [14.388798, 15.081934, 15.854370, 16.537110, 162.599685], [28.428176, 28.926655, 30.660542, 35.788693, 117.250126], [15.889900, 16.084604, 17.243542, 17.424692, 141.895684], [75.842110, 78.874707, 85.540513, 87.719026, 561.954390], [44.494003, 45.865799, 51.371386, 52.518128, 338.086879]]
### 6
mean: [13.786521, -2.254557, 6.329951, -7.457075, -2.465010, 6.627628, -8.956702, 7.670713]
std: [11.107228, 1.455614, 5.192090, 5.690262, 1.743224, 5.480980, 6.856216, 6.015985]
pca: [[0.640559, 0.162568, -0.329030, -0.488932, 0.395206, -0.126112, -0.205747, -0.038950, 0.000000, 0.000000], [-0.083603, 0.189147, -0.210560, 0.352896, 0.646906, 0.105079, 0.587560, -0.116651, 0.000000, 0.000000], [0.299335, 0.191885, -0.452093, 0.135050, -0.622968, -0.233495, 0.448326, -0.085714, 0.000000, 0.000000], [-0.327772, 0.422568, -0.180645, 0.031190, 0.086576, -0.462123, -0.147482, 0.661507, 0.000000, 0.000000], [-0.100510, 0.035309, -0.063118, -0.520979, -0.117931, 0.595091, 0.377433, 0.450279, 0.000000, 0.000000], [0.315066, 0.651737, 0.672768, 0.060521, -0.069906, 0.061400, 0.104980, -0.003900, 0.000000, 0.000000], [-0.394859, 0.544171, -0.323648, -0.104877, -0.097973, 0.314824, -0.325406, -0.466493, 0.000000, 0.000000], [0.346954, 0.016794, -0.221437, 0.575428, -0.036692, 0.497955, -0.361012, 0.345766, 0.000000, 0.000000]]
fourier: [[180.687091, 183.385834, 203.846717, 208.341934, 1240.786882], [23.633291, 24.938394, 25.707228, 26.952024, 202.910120], [83.433686, 86.074121, 94.710679, 98.387153, 569.695519], [92.223863, 95.952001, 103.251102, 105.328472, 671.136708], [28.871545, 28.919090, 32.134511, 32.135150, 221.850930], [87.056493, 92.505357, 99.544289, 104.641064, 596.486507], [111.105843, 115.942280, 124.033889, 127.053537, 806.103244], [98.405170, 99.410328, 110.432480, 112.417622, 690.364223]]
### 8
mean: [-16.578432]
std: [13.431835]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[220.788351, 225.540421, 246.784085, 248.757877, 1492.058838]]
## 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": 0.6999014019966125, "train_acc": 0.46, "val_loss": 0.6881397366523743, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782187521457672, "train_acc": 0.58, "val_loss": 0.666216254234314, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6493097245693207, "train_acc": 0.58, "val_loss": 0.6192131638526917, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.594149649143219, "train_acc": 0.5, "val_loss": 0.5406371355056763, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5204905271530151, "train_acc": 0.81, "val_loss": 0.4726133644580841, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4492923617362976, "train_acc": 0.86, "val_loss": 0.4469580054283142, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.40678930282592773, "train_acc": 0.88, "val_loss": 0.4300270080566406, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3834731876850128, "train_acc": 0.89, "val_loss": 0.4239322543144226, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.38440509140491486, "train_acc": 0.895, "val_loss": 0.40676888823509216, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.36446140706539154, "train_acc": 0.905, "val_loss": 0.40449827909469604, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3667123019695282, "train_acc": 0.895, "val_loss": 0.3985024392604828, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3550138920545578, "train_acc": 0.89, "val_loss": 0.38762137293815613, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.34652402997016907, "train_acc": 0.9, "val_loss": 0.3699439764022827, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6881397366523743, "final_val_loss": 0.6192131638526917, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5406371355056763, "final_val_loss": 0.3699439764022827, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 12}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
9,904
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3760, "learning_rate": 0.05224341270698139, "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: relu
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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}
## Activation Signature
### 0
mean: [0.759406, 0.710557, 0.440876, 2.605747, -0.291744]
std: [1.346972, 2.161119, 1.981847, 2.856888, 1.293328]
pca: [[0.212361, -0.417864, -0.365080, 0.769803, -0.233265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453169, 0.595132, -0.137350, -0.062926, -0.646243, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.449032, 0.449303, 0.088503, 0.366277, 0.674170, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688358, -0.497321, 0.458982, -0.256674, -0.047843, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272164, 0.148345, 0.793318, 0.451002, -0.266764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.727603, 22.866674, 24.248789, 27.480820, 68.346540], [37.989679, 38.052738, 42.465211, 50.452941, 63.950106], [32.993358, 35.927276, 38.643441, 39.678821, 44.045425], [44.244679, 44.994837, 48.339132, 55.143982, 234.517212], [20.423187, 20.964558, 21.739240, 23.870466, 26.256990]]
### 2
mean: [0.028636, 2.139898, 3.102182, 2.313686, 2.822016]
std: [1.009665, 3.447011, 4.156990, 3.222064, 3.381188]
pca: [[0.070717, 0.613690, 0.750493, -0.229099, -0.051552, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.475824, 0.540941, -0.561768, -0.160260, -0.373776, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588000, 0.040983, -0.015411, 0.059552, 0.805477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453255, -0.146124, 0.278797, 0.745767, -0.373245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466269, -0.554740, 0.207875, -0.601761, -0.263685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.095910, 14.480841, 16.960373, 17.402820, 20.642930], [59.509453, 64.388691, 68.982693, 75.069687, 192.590847], [69.353770, 77.958125, 81.077469, 82.159377, 279.196383], [53.647553, 60.911513, 61.248617, 61.894734, 208.231748], [56.707060, 57.090171, 59.172201, 59.824104, 253.981456]]
### 4
mean: [7.044425, -3.165087, 0.698686, 3.838398, 4.758253]
std: [9.534321, 3.692693, 1.161575, 5.469766, 6.458854]
pca: [[0.718561, -0.174927, -0.453399, 0.470124, -0.162734, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278110, 0.111983, 0.414113, 0.687701, -0.515454, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025702, 0.894779, -0.263470, 0.217292, 0.286492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412254, -0.028083, 0.668390, 0.205925, 0.583188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485500, 0.394262, 0.326769, -0.465220, -0.534452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.532570, 175.892627, 191.220320, 193.397495, 633.998233], [62.532044, 67.848690, 74.255739, 75.402512, 284.857800], [18.444218, 18.615121, 20.495432, 20.929625, 62.881741], [93.845727, 100.231231, 109.695195, 110.113861, 345.455904], [111.819509, 116.748106, 124.004603, 126.803330, 428.242807]]
### 6
mean: [-1.747409, 12.205235, 6.488442, -1.376934, 12.714837]
std: [4.444932, 17.423952, 8.870205, 1.482699, 17.404831]
pca: [[-0.166353, 0.864637, -0.116562, -0.323597, -0.326232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655325, -0.254086, -0.287208, -0.525890, -0.383328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333604, 0.175654, 0.758265, -0.365155, 0.386717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055745, 0.067836, -0.546184, -0.353715, 0.754227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654581, 0.390367, -0.175048, 0.600226, 0.167999, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.578426, 84.077574, 89.503300, 93.715024, 157.266763], [300.781655, 320.676520, 349.477959, 350.414433, 1098.471127], [153.278882, 162.470801, 176.826834, 177.622157, 583.959804], [25.457366, 27.513611, 29.776013, 30.205431, 123.924026], [300.995977, 318.190742, 346.295800, 348.605614, 1144.335325]]
### 8
mean: [-14.592420]
std: [21.259386]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[367.519172, 390.616560, 424.775678, 426.457236, 1313.317738]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.028833
],
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[
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[
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}
## Activation Signature
### 0
mean: [0.759406, 0.710557, 0.440876, 2.605747, -0.291744]
std: [1.346972, 2.161119, 1.981847, 2.856888, 1.293328]
pca: [[0.212361, -0.417864, -0.365080, 0.769803, -0.233265, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453169, 0.595132, -0.137350, -0.062926, -0.646243, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.449032, 0.449303, 0.088503, 0.366277, 0.674170, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.688358, -0.497321, 0.458982, -0.256674, -0.047843, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272164, 0.148345, 0.793318, 0.451002, -0.266764, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.727603, 22.866674, 24.248789, 27.480820, 68.346540], [37.989679, 38.052738, 42.465211, 50.452941, 63.950106], [32.993358, 35.927276, 38.643441, 39.678821, 44.045425], [44.244679, 44.994837, 48.339132, 55.143982, 234.517212], [20.423187, 20.964558, 21.739240, 23.870466, 26.256990]]
### 2
mean: [0.028636, 2.139898, 3.102182, 2.313686, 2.822016]
std: [1.009665, 3.447011, 4.156990, 3.222064, 3.381188]
pca: [[0.070717, 0.613690, 0.750493, -0.229099, -0.051552, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.475824, 0.540941, -0.561768, -0.160260, -0.373776, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588000, 0.040983, -0.015411, 0.059552, 0.805477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453255, -0.146124, 0.278797, 0.745767, -0.373245, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.466269, -0.554740, 0.207875, -0.601761, -0.263685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.095910, 14.480841, 16.960373, 17.402820, 20.642930], [59.509453, 64.388691, 68.982693, 75.069687, 192.590847], [69.353770, 77.958125, 81.077469, 82.159377, 279.196383], [53.647553, 60.911513, 61.248617, 61.894734, 208.231748], [56.707060, 57.090171, 59.172201, 59.824104, 253.981456]]
### 4
mean: [7.044425, -3.165087, 0.698686, 3.838398, 4.758253]
std: [9.534321, 3.692693, 1.161575, 5.469766, 6.458854]
pca: [[0.718561, -0.174927, -0.453399, 0.470124, -0.162734, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278110, 0.111983, 0.414113, 0.687701, -0.515454, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025702, 0.894779, -0.263470, 0.217292, 0.286492, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.412254, -0.028083, 0.668390, 0.205925, 0.583188, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485500, 0.394262, 0.326769, -0.465220, -0.534452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[162.532570, 175.892627, 191.220320, 193.397495, 633.998233], [62.532044, 67.848690, 74.255739, 75.402512, 284.857800], [18.444218, 18.615121, 20.495432, 20.929625, 62.881741], [93.845727, 100.231231, 109.695195, 110.113861, 345.455904], [111.819509, 116.748106, 124.004603, 126.803330, 428.242807]]
### 6
mean: [-1.747409, 12.205235, 6.488442, -1.376934, 12.714837]
std: [4.444932, 17.423952, 8.870205, 1.482699, 17.404831]
pca: [[-0.166353, 0.864637, -0.116562, -0.323597, -0.326232, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.655325, -0.254086, -0.287208, -0.525890, -0.383328, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.333604, 0.175654, 0.758265, -0.365155, 0.386717, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.055745, 0.067836, -0.546184, -0.353715, 0.754227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654581, 0.390367, -0.175048, 0.600226, 0.167999, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.578426, 84.077574, 89.503300, 93.715024, 157.266763], [300.781655, 320.676520, 349.477959, 350.414433, 1098.471127], [153.278882, 162.470801, 176.826834, 177.622157, 583.959804], [25.457366, 27.513611, 29.776013, 30.205431, 123.924026], [300.995977, 318.190742, 346.295800, 348.605614, 1144.335325]]
### 8
mean: [-14.592420]
std: [21.259386]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[367.519172, 390.616560, 424.775678, 426.457236, 1313.317738]]
## 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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[367.5191721369835, 390.6165596998117, 424.7756779265172, 426.45723575499215, 1313.3177375793457]}}, "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": [[0.31934, 0.55691, -0.150746, -0.071702, -0.212918], [0.919812, -0.657771, 0.399292, -0.028233, 0.028833], [0.797927, -0.389886, 0.434926, -0.13706, -0.002674], [0.884216, 0.718454, 0.21211, 0.125524, 0.19945], [-0.625727, 0.01286, 0.129339, -0.292008, 0.162188]], "network.0.bias": [0.078443, -0.044587, -0.452937, -0.762034, 0.619493], "network.2.weight": [[0.41553, 0.478213, 0.44379, -0.430895, 0.476707], [-0.04368, 1.006989, 0.508045, 0.442443, -0.22578], [0.684822, 0.79891, 0.743604, 0.489064, -0.477143], [0.892913, 0.907632, 0.185286, 0.271394, -0.712874], [0.874487, 0.131763, 0.626085, 0.583248, -0.015614]], "network.2.bias": [-0.329215, -0.573153, -0.297779, -0.192462, -0.291002], "network.4.weight": [[0.736, 0.855688, 0.667665, 0.87166, 0.29769], [-0.408537, -0.337258, -0.343316, -0.122137, -0.190412], [-0.315232, -0.614482, -0.056285, -0.060739, 0.693166], [-0.012781, 0.599419, 0.401976, 0.509361, 0.09051], [-0.038415, 0.252848, 0.824656, 0.248052, 0.462756]], "network.4.bias": [-0.294608, -0.301848, 0.575894, -0.310288, -0.359343], "network.6.weight": [[-0.186074, 0.043489, 0.740343, -0.144556, -0.290321], [0.875342, 0.275761, -0.639698, 0.473395, 1.025792], [0.566792, -0.357722, -0.087134, 0.067572, 0.49024], [-0.135426, -0.357169, 0.074101, 0.048944, -0.072093], [0.918908, 0.079438, -0.115418, 0.533309, 0.909985]], "network.6.bias": [0.883319, -0.26419, -0.099125, -0.324193, -0.209216], "network.8.weight": [[0.567329, -0.752211, -0.462602, -0.441726, -0.227015]], "network.8.bias": [0.322434]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6811823844909668, "train_acc": 0.58, "val_loss": 0.6998811364173889, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6571071743965149, "train_acc": 0.58, "val_loss": 0.6307258009910583, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6057660281658173, "train_acc": 0.505, "val_loss": 0.49209731817245483, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4750879108905792, "train_acc": 0.6, "val_loss": 0.40076056122779846, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3979319632053375, "train_acc": 0.835, "val_loss": 0.30844199657440186, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3201286643743515, "train_acc": 0.94, "val_loss": 0.2395741492509842, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.26799529790878296, "train_acc": 0.905, "val_loss": 0.1502394825220108, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21242044121026993, "train_acc": 0.93, "val_loss": 0.09163693338632584, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17782416939735413, "train_acc": 0.94, "val_loss": 0.05170120671391487, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.13777296990156174, "train_acc": 0.945, "val_loss": 0.02550460584461689, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.11116846650838852, "train_acc": 0.95, "val_loss": 0.022842517122626305, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.13454695045948029, "train_acc": 0.95, "val_loss": 0.02225397527217865, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6998811364173889, "final_val_loss": 0.6307258009910583, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.49209731817245483, "final_val_loss": 0.02225397527217865, "initial_val_acc": 0.48, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 6}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,905
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2988, "learning_rate": 0.0674525661759249, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [0.599565, -0.776966, -2.986824, -1.110952, -0.027467, 0.379242, 0.748368, 0.447974]
std: [1.999745, 0.762823, 1.908579, 1.272280, 1.552571, 1.611134, 1.425558, 1.801956]
pca: [[0.548470, -0.022353, -0.244549, -0.477051, 0.412287, -0.151447, -0.275109, -0.377754, 0.000000, 0.000000], [0.176596, 0.159340, 0.023277, -0.012784, 0.534078, 0.600955, 0.068661, 0.540017, 0.000000, 0.000000], [-0.016764, 0.904209, 0.023393, 0.155024, 0.143402, -0.369883, 0.008149, 0.010105, 0.000000, 0.000000], [0.170486, 0.321221, 0.476956, -0.428371, -0.461306, 0.443275, -0.003607, -0.217838, 0.000000, 0.000000], [0.385839, 0.088160, -0.286621, 0.665328, -0.169310, 0.380963, -0.094162, -0.368618, 0.000000, 0.000000], [0.433157, 0.020160, -0.341555, -0.152162, -0.311697, -0.154243, 0.697353, 0.254773, 0.000000, 0.000000], [0.242304, -0.181979, 0.647715, 0.263158, 0.350078, -0.166281, 0.445974, -0.265119, 0.000000, 0.000000], [0.493397, -0.109726, 0.305407, 0.172218, -0.251072, -0.293322, -0.474827, 0.497043, 0.000000, 0.000000]]
fourier: [[31.324085, 34.648218, 35.007698, 35.173172, 53.960879], [11.429273, 12.450748, 13.039344, 14.384507, 69.926976], [30.129810, 30.391090, 35.768085, 39.668503, 268.814161], [18.520239, 18.820301, 21.755200, 22.271651, 99.985721], [21.920694, 22.412814, 25.083320, 31.759027, 32.692261], [23.001558, 27.748458, 28.644459, 34.131797, 34.245542], [19.244272, 19.524114, 26.643240, 30.435725, 67.353138], [29.854362, 30.960770, 31.094490, 31.327814, 40.317621]]
### 2
mean: [1.979898, 1.970190, 3.253021, -1.434751, 1.996140, -0.641384, -1.193234, -1.636578]
std: [2.188529, 2.323201, 3.389079, 1.041993, 2.198190, 1.166934, 0.922673, 1.219630]
pca: [[0.389272, 0.494337, -0.088065, -0.468110, -0.139123, 0.241131, 0.484153, 0.255565, 0.000000, 0.000000], [0.418156, -0.274196, -0.344437, -0.349364, 0.497942, 0.096994, -0.102557, -0.491323, 0.000000, 0.000000], [0.613845, 0.099072, 0.041336, 0.555036, 0.033437, -0.490072, 0.239789, -0.069416, 0.000000, 0.000000], [-0.165641, 0.582846, -0.112151, 0.443090, 0.475582, 0.422442, -0.062008, -0.124364, 0.000000, 0.000000], [0.392937, -0.428417, 0.238568, 0.254863, 0.024828, 0.614569, -0.094128, 0.391175, 0.000000, 0.000000], [-0.206602, -0.156633, 0.599891, -0.127929, 0.531218, -0.095683, 0.514940, -0.006004, 0.000000, 0.000000], [-0.161093, -0.186908, -0.575402, 0.052723, 0.368202, -0.220059, 0.148576, 0.631802, 0.000000, 0.000000], [-0.215258, -0.296502, -0.333840, 0.265187, -0.294993, 0.280257, 0.630585, -0.347528, 0.000000, 0.000000]]
fourier: [[33.073855, 34.175917, 38.661526, 40.661359, 178.190789], [36.855112, 39.527345, 40.358701, 40.978588, 177.317142], [52.377778, 55.194635, 59.643569, 62.542765, 292.771882], [16.769017, 16.883722, 16.931348, 19.962985, 129.127618], [36.597701, 37.160016, 38.107000, 39.371166, 179.652612], [18.293253, 18.299805, 20.641750, 22.267234, 57.724568], [14.062853, 15.076739, 15.408321, 18.073398, 107.391059], [17.658755, 21.148556, 21.262994, 21.794395, 147.292052]]
### 4
mean: [-2.685721, -3.066927, 5.225674, 3.988504, -0.846798, 1.942554, -1.062400, -1.524171]
std: [2.546920, 2.988285, 5.549306, 4.271883, 0.601097, 2.214850, 1.890020, 1.376774]
pca: [[-0.293954, 0.026862, 0.657109, 0.361681, 0.031988, -0.313359, 0.410780, -0.286891, 0.000000, 0.000000], [-0.343879, 0.591177, 0.249040, -0.004800, -0.179516, 0.646604, -0.110105, 0.088133, 0.000000, 0.000000], [0.640494, 0.351189, -0.104797, 0.007944, -0.197437, 0.128146, 0.619188, -0.128807, 0.000000, 0.000000], [0.493186, -0.038838, 0.467698, 0.333513, 0.076620, 0.015279, -0.269520, 0.588678, 0.000000, 0.000000], [-0.068100, -0.262334, -0.323816, 0.755896, -0.434964, 0.218669, -0.050759, -0.103539, 0.000000, 0.000000], [0.255649, 0.123906, -0.009961, 0.254624, 0.620145, 0.225898, -0.307167, -0.569558, 0.000000, 0.000000], [-0.217909, -0.240906, -0.168162, 0.127710, 0.556793, 0.360233, 0.514307, 0.381568, 0.000000, 0.000000], [-0.156188, 0.618659, -0.378455, 0.324572, 0.195211, -0.488303, -0.040764, 0.257064, 0.000000, 0.000000]]
fourier: [[40.245094, 41.567097, 44.364248, 45.931580, 241.714889], [48.196171, 49.932029, 51.263230, 53.097228, 276.023405], [88.398062, 88.834774, 97.910033, 101.624889, 470.310706], [68.555892, 69.303674, 74.982744, 78.080348, 358.965335], [9.356856, 9.507044, 10.738148, 11.513422, 76.211805], [35.436070, 35.465483, 39.048514, 40.632588, 174.829883], [29.500524, 30.365993, 33.612277, 34.868104, 95.616020], [22.797849, 22.943686, 23.345912, 23.801533, 137.175433]]
### 6
mean: [-2.365907, -1.814536, 3.712678, -1.165638, 5.740260, 4.136630, 0.380624, -1.755072]
std: [2.527758, 2.602726, 4.200738, 2.395063, 6.201144, 4.638677, 0.810183, 1.468618]
pca: [[-0.253540, -0.345862, 0.708903, -0.088842, 0.545173, -0.040834, 0.054067, 0.062104, 0.000000, 0.000000], [-0.261236, 0.076772, -0.097326, -0.436860, 0.006308, 0.807019, 0.252386, 0.102589, 0.000000, 0.000000], [0.421578, -0.269269, -0.324027, -0.491799, 0.430599, -0.035222, -0.182168, -0.427861, 0.000000, 0.000000], [-0.239596, 0.723622, -0.049677, -0.031886, 0.396923, -0.227745, 0.310460, -0.331179, 0.000000, 0.000000], [0.622377, 0.302046, 0.098223, -0.097243, 0.248771, 0.000077, 0.152920, 0.645786, 0.000000, 0.000000], [0.465596, 0.066938, 0.334196, 0.455656, -0.026932, 0.447420, 0.147005, -0.486734, 0.000000, 0.000000], [0.080681, -0.374509, -0.127795, -0.033126, -0.138805, -0.237670, 0.870851, -0.040858, 0.000000, 0.000000], [-0.147298, -0.205867, -0.492805, 0.583268, 0.527166, 0.193062, 0.020753, 0.193016, 0.000000, 0.000000]]
fourier: [[40.462549, 40.728087, 43.862632, 46.425597, 212.931627], [41.049858, 41.868266, 46.456316, 47.290803, 163.308278], [65.921354, 67.484200, 75.366561, 76.252378, 334.141022], [37.879239, 38.434720, 42.672158, 44.497217, 104.907425], [98.818949, 99.688102, 109.287297, 113.284238, 516.623333], [73.594137, 74.633744, 82.220538, 84.525715, 372.296685], [12.925036, 13.302595, 14.233881, 15.367185, 34.256150], [23.665246, 23.681295, 25.499972, 26.975344, 157.956530]]
### 8
mean: [2.788622, -3.040309, -1.261950, -5.222574, 3.511316, 5.001563, -1.838698, -0.757855]
std: [3.404953, 4.782571, 1.027453, 5.145444, 4.612659, 5.999262, 1.664565, 0.612105]
pca: [[0.307916, 0.258745, 0.428333, 0.411282, -0.011806, 0.687592, -0.034705, -0.107197, 0.000000, 0.000000], [-0.432609, -0.325314, -0.333736, 0.502053, 0.513146, 0.220790, -0.176585, -0.018296, 0.000000, 0.000000], [-0.092903, -0.076591, 0.650315, -0.202925, 0.628758, -0.233397, 0.122652, -0.237824, 0.000000, 0.000000], [-0.463733, 0.745001, 0.025365, 0.285674, -0.087711, -0.297925, -0.077485, -0.212642, 0.000000, 0.000000], [0.417227, 0.318196, -0.360296, -0.294032, 0.399616, 0.034424, -0.532972, -0.251929, 0.000000, 0.000000], [0.543200, 0.088540, -0.139646, 0.512378, 0.240517, -0.444195, 0.350364, 0.192745, 0.000000, 0.000000], [-0.148979, 0.378172, -0.246824, -0.327112, 0.324764, 0.360345, 0.564176, 0.336529, 0.000000, 0.000000], [-0.054950, 0.119281, 0.267139, 0.003669, 0.102465, -0.083027, -0.470592, 0.820077, 0.000000, 0.000000]]
fourier: [[53.091471, 54.684952, 60.477156, 62.817753, 250.975971], [74.198127, 76.811482, 85.192184, 87.937415, 273.627798], [15.954473, 16.491786, 18.509071, 18.931113, 113.575510], [82.255735, 84.256940, 86.752168, 94.787245, 470.031717], [71.537758, 74.044196, 82.331978, 84.821456, 316.018398], [93.469976, 96.437994, 108.063267, 108.197174, 450.140689], [26.483728, 26.958821, 27.845530, 30.784711, 165.482835], [9.734094, 10.070089, 10.195999, 11.414094, 68.206932]]
### 10
mean: [-3.249707]
std: [4.756453]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.020264, 76.443129, 84.793545, 86.998925, 292.473652]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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## Activation Signature
### 0
mean: [0.599565, -0.776966, -2.986824, -1.110952, -0.027467, 0.379242, 0.748368, 0.447974]
std: [1.999745, 0.762823, 1.908579, 1.272280, 1.552571, 1.611134, 1.425558, 1.801956]
pca: [[0.548470, -0.022353, -0.244549, -0.477051, 0.412287, -0.151447, -0.275109, -0.377754, 0.000000, 0.000000], [0.176596, 0.159340, 0.023277, -0.012784, 0.534078, 0.600955, 0.068661, 0.540017, 0.000000, 0.000000], [-0.016764, 0.904209, 0.023393, 0.155024, 0.143402, -0.369883, 0.008149, 0.010105, 0.000000, 0.000000], [0.170486, 0.321221, 0.476956, -0.428371, -0.461306, 0.443275, -0.003607, -0.217838, 0.000000, 0.000000], [0.385839, 0.088160, -0.286621, 0.665328, -0.169310, 0.380963, -0.094162, -0.368618, 0.000000, 0.000000], [0.433157, 0.020160, -0.341555, -0.152162, -0.311697, -0.154243, 0.697353, 0.254773, 0.000000, 0.000000], [0.242304, -0.181979, 0.647715, 0.263158, 0.350078, -0.166281, 0.445974, -0.265119, 0.000000, 0.000000], [0.493397, -0.109726, 0.305407, 0.172218, -0.251072, -0.293322, -0.474827, 0.497043, 0.000000, 0.000000]]
fourier: [[31.324085, 34.648218, 35.007698, 35.173172, 53.960879], [11.429273, 12.450748, 13.039344, 14.384507, 69.926976], [30.129810, 30.391090, 35.768085, 39.668503, 268.814161], [18.520239, 18.820301, 21.755200, 22.271651, 99.985721], [21.920694, 22.412814, 25.083320, 31.759027, 32.692261], [23.001558, 27.748458, 28.644459, 34.131797, 34.245542], [19.244272, 19.524114, 26.643240, 30.435725, 67.353138], [29.854362, 30.960770, 31.094490, 31.327814, 40.317621]]
### 2
mean: [1.979898, 1.970190, 3.253021, -1.434751, 1.996140, -0.641384, -1.193234, -1.636578]
std: [2.188529, 2.323201, 3.389079, 1.041993, 2.198190, 1.166934, 0.922673, 1.219630]
pca: [[0.389272, 0.494337, -0.088065, -0.468110, -0.139123, 0.241131, 0.484153, 0.255565, 0.000000, 0.000000], [0.418156, -0.274196, -0.344437, -0.349364, 0.497942, 0.096994, -0.102557, -0.491323, 0.000000, 0.000000], [0.613845, 0.099072, 0.041336, 0.555036, 0.033437, -0.490072, 0.239789, -0.069416, 0.000000, 0.000000], [-0.165641, 0.582846, -0.112151, 0.443090, 0.475582, 0.422442, -0.062008, -0.124364, 0.000000, 0.000000], [0.392937, -0.428417, 0.238568, 0.254863, 0.024828, 0.614569, -0.094128, 0.391175, 0.000000, 0.000000], [-0.206602, -0.156633, 0.599891, -0.127929, 0.531218, -0.095683, 0.514940, -0.006004, 0.000000, 0.000000], [-0.161093, -0.186908, -0.575402, 0.052723, 0.368202, -0.220059, 0.148576, 0.631802, 0.000000, 0.000000], [-0.215258, -0.296502, -0.333840, 0.265187, -0.294993, 0.280257, 0.630585, -0.347528, 0.000000, 0.000000]]
fourier: [[33.073855, 34.175917, 38.661526, 40.661359, 178.190789], [36.855112, 39.527345, 40.358701, 40.978588, 177.317142], [52.377778, 55.194635, 59.643569, 62.542765, 292.771882], [16.769017, 16.883722, 16.931348, 19.962985, 129.127618], [36.597701, 37.160016, 38.107000, 39.371166, 179.652612], [18.293253, 18.299805, 20.641750, 22.267234, 57.724568], [14.062853, 15.076739, 15.408321, 18.073398, 107.391059], [17.658755, 21.148556, 21.262994, 21.794395, 147.292052]]
### 4
mean: [-2.685721, -3.066927, 5.225674, 3.988504, -0.846798, 1.942554, -1.062400, -1.524171]
std: [2.546920, 2.988285, 5.549306, 4.271883, 0.601097, 2.214850, 1.890020, 1.376774]
pca: [[-0.293954, 0.026862, 0.657109, 0.361681, 0.031988, -0.313359, 0.410780, -0.286891, 0.000000, 0.000000], [-0.343879, 0.591177, 0.249040, -0.004800, -0.179516, 0.646604, -0.110105, 0.088133, 0.000000, 0.000000], [0.640494, 0.351189, -0.104797, 0.007944, -0.197437, 0.128146, 0.619188, -0.128807, 0.000000, 0.000000], [0.493186, -0.038838, 0.467698, 0.333513, 0.076620, 0.015279, -0.269520, 0.588678, 0.000000, 0.000000], [-0.068100, -0.262334, -0.323816, 0.755896, -0.434964, 0.218669, -0.050759, -0.103539, 0.000000, 0.000000], [0.255649, 0.123906, -0.009961, 0.254624, 0.620145, 0.225898, -0.307167, -0.569558, 0.000000, 0.000000], [-0.217909, -0.240906, -0.168162, 0.127710, 0.556793, 0.360233, 0.514307, 0.381568, 0.000000, 0.000000], [-0.156188, 0.618659, -0.378455, 0.324572, 0.195211, -0.488303, -0.040764, 0.257064, 0.000000, 0.000000]]
fourier: [[40.245094, 41.567097, 44.364248, 45.931580, 241.714889], [48.196171, 49.932029, 51.263230, 53.097228, 276.023405], [88.398062, 88.834774, 97.910033, 101.624889, 470.310706], [68.555892, 69.303674, 74.982744, 78.080348, 358.965335], [9.356856, 9.507044, 10.738148, 11.513422, 76.211805], [35.436070, 35.465483, 39.048514, 40.632588, 174.829883], [29.500524, 30.365993, 33.612277, 34.868104, 95.616020], [22.797849, 22.943686, 23.345912, 23.801533, 137.175433]]
### 6
mean: [-2.365907, -1.814536, 3.712678, -1.165638, 5.740260, 4.136630, 0.380624, -1.755072]
std: [2.527758, 2.602726, 4.200738, 2.395063, 6.201144, 4.638677, 0.810183, 1.468618]
pca: [[-0.253540, -0.345862, 0.708903, -0.088842, 0.545173, -0.040834, 0.054067, 0.062104, 0.000000, 0.000000], [-0.261236, 0.076772, -0.097326, -0.436860, 0.006308, 0.807019, 0.252386, 0.102589, 0.000000, 0.000000], [0.421578, -0.269269, -0.324027, -0.491799, 0.430599, -0.035222, -0.182168, -0.427861, 0.000000, 0.000000], [-0.239596, 0.723622, -0.049677, -0.031886, 0.396923, -0.227745, 0.310460, -0.331179, 0.000000, 0.000000], [0.622377, 0.302046, 0.098223, -0.097243, 0.248771, 0.000077, 0.152920, 0.645786, 0.000000, 0.000000], [0.465596, 0.066938, 0.334196, 0.455656, -0.026932, 0.447420, 0.147005, -0.486734, 0.000000, 0.000000], [0.080681, -0.374509, -0.127795, -0.033126, -0.138805, -0.237670, 0.870851, -0.040858, 0.000000, 0.000000], [-0.147298, -0.205867, -0.492805, 0.583268, 0.527166, 0.193062, 0.020753, 0.193016, 0.000000, 0.000000]]
fourier: [[40.462549, 40.728087, 43.862632, 46.425597, 212.931627], [41.049858, 41.868266, 46.456316, 47.290803, 163.308278], [65.921354, 67.484200, 75.366561, 76.252378, 334.141022], [37.879239, 38.434720, 42.672158, 44.497217, 104.907425], [98.818949, 99.688102, 109.287297, 113.284238, 516.623333], [73.594137, 74.633744, 82.220538, 84.525715, 372.296685], [12.925036, 13.302595, 14.233881, 15.367185, 34.256150], [23.665246, 23.681295, 25.499972, 26.975344, 157.956530]]
### 8
mean: [2.788622, -3.040309, -1.261950, -5.222574, 3.511316, 5.001563, -1.838698, -0.757855]
std: [3.404953, 4.782571, 1.027453, 5.145444, 4.612659, 5.999262, 1.664565, 0.612105]
pca: [[0.307916, 0.258745, 0.428333, 0.411282, -0.011806, 0.687592, -0.034705, -0.107197, 0.000000, 0.000000], [-0.432609, -0.325314, -0.333736, 0.502053, 0.513146, 0.220790, -0.176585, -0.018296, 0.000000, 0.000000], [-0.092903, -0.076591, 0.650315, -0.202925, 0.628758, -0.233397, 0.122652, -0.237824, 0.000000, 0.000000], [-0.463733, 0.745001, 0.025365, 0.285674, -0.087711, -0.297925, -0.077485, -0.212642, 0.000000, 0.000000], [0.417227, 0.318196, -0.360296, -0.294032, 0.399616, 0.034424, -0.532972, -0.251929, 0.000000, 0.000000], [0.543200, 0.088540, -0.139646, 0.512378, 0.240517, -0.444195, 0.350364, 0.192745, 0.000000, 0.000000], [-0.148979, 0.378172, -0.246824, -0.327112, 0.324764, 0.360345, 0.564176, 0.336529, 0.000000, 0.000000], [-0.054950, 0.119281, 0.267139, 0.003669, 0.102465, -0.083027, -0.470592, 0.820077, 0.000000, 0.000000]]
fourier: [[53.091471, 54.684952, 60.477156, 62.817753, 250.975971], [74.198127, 76.811482, 85.192184, 87.937415, 273.627798], [15.954473, 16.491786, 18.509071, 18.931113, 113.575510], [82.255735, 84.256940, 86.752168, 94.787245, 470.031717], [71.537758, 74.044196, 82.331978, 84.821456, 316.018398], [93.469976, 96.437994, 108.063267, 108.197174, 450.140689], [26.483728, 26.958821, 27.845530, 30.784711, 165.482835], [9.734094, 10.070089, 10.195999, 11.414094, 68.206932]]
### 10
mean: [-3.249707]
std: [4.756453]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.020264, 76.443129, 84.793545, 86.998925, 292.473652]]
## 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.81312, -0.167399, 0.302471, 0.49913, 0.209498], [-0.304998, -0.150448, -0.019529, 0.039932, 0.078958], [-0.415124, 0.041451, -0.291328, -0.524945, -0.423594], [-0.514472, -0.0122, 0.349099, -0.373636, 0.078866], [-0.661322, 0.322871, -0.232122, 0.161802, 0.340459], [-0.723347, 0.156909, 0.161292, 0.347983, 0.134965], [-0.285633, -0.131551, 0.142932, -0.159889, 0.707305], [-0.775678, 0.118895, 0.231436, 0.039218, 0.677194]], "network.0.bias": [-0.044077, -0.265484, -0.289057, -0.473745, -0.074829, -0.256123, 0.515499, -0.206142], "network.2.weight": [[0.47866, 0.131356, -0.061531, 0.344985, 0.807773, 0.784404, 0.301684, 0.205079], [0.156297, 0.094235, 0.105902, 0.42249, 0.761323, 0.767283, 0.767339, 0.341512], [0.706987, 0.056285, 0.130883, -0.163468, 0.811308, 0.890638, 0.74043, 0.746867], [0.015072, -0.121762, -0.259653, -0.529121, -0.140231, 0.019286, -0.257851, -0.548094], [0.427411, -0.164847, -0.151837, 0.114042, 0.427438, 0.272217, 0.640889, 0.640558], [-0.045111, 0.514674, 0.068012, 0.137142, -0.448068, -0.356359, 0.004028, -0.482737], [-0.476587, 0.035924, 0.227005, -0.131709, -0.134563, -0.052681, -0.063819, -0.19471], [-0.399998, -0.129569, 0.385292, -0.234852, -0.34969, -0.476338, -0.313448, 0.090266]], "network.2.bias": [-0.227763, -0.410105, -0.145524, -0.573731, -0.174754, 0.38125, -0.275869, -0.317475], "network.4.weight": [[-0.224055, -0.499559, -0.207743, -0.265837, -0.125012, -0.119125, 0.133073, 0.514319], [-0.00711, -0.550898, -0.249565, -0.368257, -0.446685, -0.660545, 0.194549, 0.121647], [0.5575, 0.538369, 0.61597, 0.078975, 0.477132, -0.667363, -0.351204, 0.062143], [0.280568, 0.298451, 0.497635, 0.29802, 0.609323, -0.283405, 0.136005, 0.029122], [-0.165121, 0.186559, -0.128582, 0.098556, -0.098428, 0.177266, 0.298348, 0.011191], [0.286299, 0.180678, 0.16061, 0.147029, 0.296587, -0.282398, -0.158461, -0.506685], [-0.175511, -0.097325, -0.302055, 0.314906, -0.11241, 0.398744, 0.351579, -0.047314], [0.217581, -0.162721, -0.225135, 0.111199, -0.357635, -0.740217, -0.11422, -0.38277]], "network.4.bias": [-0.267109, -0.125692, 0.10431, -0.013228, -0.294831, -0.094432, 0.656685, -0.077537], "network.6.weight": [[-0.163351, -0.160591, -0.25923, -0.156268, 0.214003, -0.215126, -0.170135, -0.075793], [-0.141069, 0.087784, -0.19741, -0.215213, -0.068127, -0.244111, 0.294129, 0.054418], [0.154718, 0.186481, 0.556229, 0.237698, 0.132485, -0.002644, -0.538602, 0.256495], [0.018784, 0.042662, -0.330099, -0.048136, -0.301255, -0.071615, 0.898756, -0.026844], [-0.115307, 0.381812, 0.57877, 0.609153, 0.233229, 0.174742, -0.144609, 0.379759], [0.051319, -0.083124, 0.35588, 0.461403, 0.055376, 0.295394, -0.303405, -0.281718], [0.108464, 0.391626, 0.149649, -0.039566, -0.211314, 0.022355, -0.428021, 0.148595], [-0.293331, 0.064612, -0.158681, -0.267306, 0.248624, 0.238059, -0.127413, -0.282793]], "network.6.bias": [0.089146, 0.498335, -0.024956, 0.6864, -0.051162, -0.094256, -0.187964, -0.293188], "network.8.weight": [[-0.148553, -0.080979, 0.332445, -0.575656, 0.03895, 0.34309, -0.022195, 0.095376], [0.07997, 0.342199, -0.406651, 0.701788, -0.152246, -0.320845, -0.546086, -0.03421], [-0.345504, -0.146793, 0.197933, 0.237437, -0.421766, 0.157463, 0.171923, -0.090649], [0.052779, -0.257647, -0.466713, -0.555505, -0.528223, -0.030149, -0.141114, 0.009629], [-0.291226, -0.433333, 0.24104, -0.559752, 0.41736, 0.157147, 0.024373, -0.114975], [0.106949, -0.184489, 0.176697, -0.494367, 0.393472, 0.561595, 0.07653, 0.123327], [0.262175, -0.289319, 0.014315, -0.205913, -0.015609, -0.33502, -0.338453, 0.083626], [0.28887, -0.091537, 0.009474, -0.097634, -0.212501, 0.118225, 0.103198, -0.114621]], "network.8.bias": [0.11872, 0.670703, -0.409172, 0.101946, -0.167383, -0.10601, -0.061575, -0.06073], "network.10.weight": [[-0.291781, 0.528581, 0.094248, 0.040461, -0.229926, -0.444908, 0.031344, 0.089431]], "network.10.bias": [0.561643]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6457286179065704, "train_acc": 0.59, "val_loss": 0.7738462686538696, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5543364882469177, "train_acc": 0.59, "val_loss": 0.5262558460235596, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5916922092437744, "train_acc": 0.515, "val_loss": 0.4913867115974426, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.40007810294628143, "train_acc": 0.915, "val_loss": 0.47878533601760864, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4146876335144043, "train_acc": 0.91, "val_loss": 0.4020253121852875, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3220280408859253, "train_acc": 0.92, "val_loss": 0.3399789333343506, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.255802758038044, "train_acc": 0.925, "val_loss": 0.29097670316696167, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.20257022231817245, "train_acc": 0.935, "val_loss": 0.3038285970687866, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.18258966505527496, "train_acc": 0.945, "val_loss": 0.4203606843948364, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.17872674763202667, "train_acc": 0.945, "val_loss": 0.3695928156375885, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7738462686538696, "final_val_loss": 0.5262558460235596, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4913867115974426, "final_val_loss": 0.3695928156375885, "initial_val_acc": 0.82, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.46, "first_improvement_epoch": 1}}
|
9,906
|
{"target_pattern": "palindrome", "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": 2777, "learning_rate": 0.05384191199729916, "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: 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: [0.749322, -3.591326, -0.346663, 0.068287, 0.279981, -1.304830, 1.617890, 1.737027]
std: [0.653592, 2.381084, 1.096385, 0.703398, 0.823718, 1.228610, 1.844474, 1.743037]
pca: [[0.004285, -0.237386, 0.244898, -0.488222, 0.012596, 0.423248, 0.677758, 0.081488, 0.000000, 0.000000], [0.632866, 0.668533, -0.174366, 0.024902, -0.219931, 0.170488, 0.201708, 0.058300, 0.000000, 0.000000], [-0.024510, 0.103600, 0.732314, 0.103102, -0.548392, -0.325936, 0.080084, -0.168434, 0.000000, 0.000000], [-0.151911, -0.042726, 0.134714, 0.640644, -0.103758, 0.723216, -0.038142, -0.106125, 0.000000, 0.000000], [-0.093694, 0.298083, 0.268564, -0.541730, 0.059646, 0.378613, -0.598384, -0.178329, 0.000000, 0.000000], [0.298626, 0.088379, 0.407358, 0.189970, 0.760050, -0.107701, 0.109805, -0.315675, 0.000000, 0.000000], [-0.517300, 0.391963, -0.277077, -0.041430, 0.000634, -0.070925, 0.329852, -0.621647, 0.000000, 0.000000], [-0.458508, 0.483584, 0.200875, 0.093210, 0.242361, -0.050407, 0.114747, 0.657595, 0.000000, 0.000000]]
fourier: [[9.403305, 10.193735, 11.619994, 13.343796, 67.438946], [39.387645, 40.358862, 44.938489, 45.201755, 323.219309], [16.788810, 17.606740, 20.038456, 20.880209, 31.199698], [10.988512, 11.004061, 11.627751, 11.706915, 12.010471], [11.581707, 12.866805, 14.024582, 15.762086, 25.198310], [21.624098, 22.514155, 24.520035, 25.064309, 117.434703], [33.726106, 33.974519, 34.511676, 41.617888, 145.610153], [28.348822, 30.503308, 35.235708, 38.230650, 156.332449]]
### 2
mean: [-1.222968, 1.014842, -1.816596, -1.218143, -1.504452, 1.214182, 1.714348, 0.202869]
std: [1.040440, 0.978056, 1.449526, 1.073148, 1.091439, 1.261271, 1.614837, 0.402136]
pca: [[-0.297286, 0.630816, -0.174227, -0.377276, 0.328089, 0.350737, -0.151600, -0.295567, 0.000000, 0.000000], [0.292326, 0.270218, 0.434034, 0.623889, 0.012880, 0.207036, -0.317041, -0.346930, 0.000000, 0.000000], [-0.451959, -0.210398, -0.039773, 0.375123, 0.609508, -0.002696, -0.305254, 0.380104, 0.000000, 0.000000], [-0.314034, 0.583808, 0.077668, 0.154448, -0.413688, -0.452088, -0.108179, 0.378735, 0.000000, 0.000000], [-0.340420, 0.044962, -0.153892, 0.414467, -0.229414, 0.517768, 0.602786, 0.050606, 0.000000, 0.000000], [0.394557, 0.085074, -0.175466, -0.098276, -0.176114, 0.527265, -0.332235, 0.614195, 0.000000, 0.000000], [0.499898, 0.362186, -0.241463, 0.181226, 0.478048, -0.250090, 0.450347, 0.184088, 0.000000, 0.000000], [-0.042696, 0.059304, 0.812939, -0.299282, 0.193333, 0.145230, 0.308344, 0.301123, 0.000000, 0.000000]]
fourier: [[18.136068, 18.587785, 19.231647, 20.990121, 110.067110], [14.929049, 16.741740, 18.594730, 23.787333, 91.335823], [24.534063, 26.138074, 29.117568, 34.397238, 163.493615], [18.761154, 18.878782, 20.637873, 21.469147, 109.632841], [19.001438, 19.689615, 21.730907, 25.087553, 135.400706], [21.740362, 24.282272, 24.774176, 29.328411, 109.276364], [26.972193, 29.711284, 30.869582, 38.648431, 154.291347], [5.817757, 6.269551, 7.512286, 8.127612, 18.258207]]
### 4
mean: [-0.646860, -2.075824, 0.733146, -2.767947, -1.290119, -1.618306, 0.014541, 0.820138]
std: [0.980294, 1.590509, 1.150742, 2.135489, 0.807541, 1.252962, 0.958711, 1.137435]
pca: [[0.263415, -0.346658, -0.107840, -0.307394, -0.214260, 0.578103, 0.228703, 0.521445, 0.000000, 0.000000], [0.428159, 0.403494, 0.137533, -0.464694, -0.368724, 0.174901, -0.284443, -0.414199, 0.000000, 0.000000], [-0.309847, 0.264057, -0.118972, -0.291451, 0.666978, 0.464741, -0.272274, 0.013892, 0.000000, 0.000000], [0.575900, -0.090531, -0.496960, -0.209007, 0.386404, -0.442109, -0.104366, 0.117597, 0.000000, 0.000000], [0.213850, 0.633372, 0.351661, 0.023966, 0.186926, -0.107307, 0.485848, 0.382577, 0.000000, 0.000000], [0.337594, 0.168364, -0.359891, 0.631231, 0.067784, 0.447759, 0.175355, -0.306394, 0.000000, 0.000000], [0.256745, -0.451095, 0.521222, -0.106083, 0.419765, 0.076009, 0.292513, -0.424413, 0.000000, 0.000000], [-0.306605, 0.078142, -0.428337, -0.388148, -0.090710, -0.077347, 0.655286, -0.349491, 0.000000, 0.000000]]
fourier: [[17.201807, 18.473464, 18.956371, 23.110425, 58.217360], [26.366095, 27.905170, 31.203320, 38.601444, 186.824195], [20.363775, 21.779033, 22.331648, 26.848360, 65.983127], [37.413570, 38.414784, 41.401708, 51.239432, 249.115212], [11.309836, 13.914693, 16.214503, 19.676016, 116.110717], [21.550608, 22.354286, 24.894255, 30.055021, 145.647548], [13.467548, 16.544045, 17.953961, 19.000546, 22.215023], [20.038869, 20.620032, 22.310555, 26.872650, 73.812403]]
### 6
mean: [-0.110952, -0.167237, -0.218905, -0.311819, -0.384534, -0.034733, -0.031706, 0.162487]
std: [0.541372, 0.887389, 0.613907, 0.718164, 0.704080, 0.818323, 0.863155, 0.898941]
pca: [[0.250049, -0.031894, -0.435130, 0.087290, -0.362532, -0.160181, 0.720215, 0.252395, 0.000000, 0.000000], [0.409973, 0.134703, 0.389374, -0.059609, 0.086999, 0.046814, -0.118892, 0.796691, 0.000000, 0.000000], [0.283503, -0.116614, 0.500068, -0.399650, -0.281349, -0.550906, 0.096034, -0.323051, 0.000000, 0.000000], [0.331659, 0.288506, 0.043339, -0.400563, -0.189103, 0.718956, 0.132541, -0.272419, 0.000000, 0.000000], [0.325062, -0.291967, 0.389483, 0.610365, 0.281522, 0.202206, 0.312833, -0.258537, 0.000000, 0.000000], [0.377919, -0.318049, -0.215314, 0.286896, -0.554627, 0.067917, -0.559865, -0.040978, 0.000000, 0.000000], [0.397890, 0.714907, -0.210584, 0.255807, 0.206074, -0.320164, -0.151629, -0.229884, 0.000000, 0.000000], [0.414995, -0.431871, -0.405833, -0.385182, 0.562807, -0.061233, -0.077846, -0.040485, 0.000000, 0.000000]]
fourier: [[9.682463, 9.985690, 10.169753, 10.369343, 12.849052], [15.051304, 15.968248, 16.176024, 17.053632, 21.159940], [10.984715, 11.152369, 11.864972, 14.601643, 19.701462], [12.666658, 13.210875, 13.747800, 17.213454, 28.063673], [12.776559, 13.094742, 13.562013, 16.573126, 34.608093], [11.228235, 14.958077, 15.117908, 15.733568, 19.301128], [11.484500, 15.038445, 16.143733, 16.415105, 20.674967], [14.623791, 16.276918, 16.567576, 17.360395, 21.306670]]
### 8
mean: [-0.008881, 0.567878, -0.147121, 0.126786, 0.357173, -0.250256, 0.425258, 0.245070]
std: [0.884899, 0.758418, 0.666484, 1.164182, 0.830871, 0.355012, 0.570531, 0.455858]
pca: [[0.417037, -0.144702, 0.004698, -0.497906, 0.220702, -0.141695, 0.188487, 0.672975, 0.000000, 0.000000], [-0.357360, -0.222522, 0.795434, -0.306934, 0.132973, 0.119742, 0.212345, -0.136904, 0.000000, 0.000000], [0.313842, 0.371483, 0.422023, 0.114574, -0.485656, 0.434891, -0.252703, 0.288828, 0.000000, 0.000000], [0.548449, -0.464581, 0.260708, 0.271757, 0.297911, -0.088188, -0.435799, -0.234731, 0.000000, 0.000000], [-0.391556, 0.171166, 0.212118, 0.467122, 0.306662, -0.347173, -0.258492, 0.522303, 0.000000, 0.000000], [0.166077, 0.568978, 0.001716, -0.020067, 0.697828, 0.348437, 0.092775, -0.176908, 0.000000, 0.000000], [-0.268415, -0.451341, -0.260193, 0.098795, 0.163760, 0.722844, -0.136304, 0.280864, 0.000000, 0.000000], [0.214793, -0.137723, 0.092160, 0.585266, -0.034236, 0.065084, 0.756041, 0.082830, 0.000000, 0.000000]]
fourier: [[14.159096, 14.633800, 14.958852, 15.934705, 19.963708], [12.439876, 12.608341, 13.894241, 17.247264, 51.109062], [10.954736, 10.959071, 12.419676, 13.240908, 15.152678], [18.447933, 19.260535, 19.808880, 20.794341, 26.201969], [13.742897, 14.063925, 14.928549, 18.738020, 32.145585], [5.704472, 6.049903, 6.852994, 8.135646, 22.523047], [9.312395, 9.461413, 10.711399, 12.990322, 38.273179], [7.517943, 7.716497, 8.191815, 10.283526, 22.056320]]
### 10
mean: [0.058646, 0.488154, 0.399221, 0.074675, 0.052185, 0.606392, 0.264766, 0.140231]
std: [0.993968, 1.637516, 1.451234, 1.095910, 1.200970, 1.771420, 1.324439, 0.883304]
pca: [[-0.264591, 0.390311, -0.197537, -0.120002, -0.461347, -0.301962, 0.599605, -0.246332, 0.000000, 0.000000], [0.436492, -0.091020, 0.471381, 0.333388, -0.175540, -0.369300, -0.070550, -0.543753, 0.000000, 0.000000], [0.386481, 0.472092, 0.290900, -0.619616, -0.189228, 0.309376, -0.164654, -0.024166, 0.000000, 0.000000], [-0.292098, 0.120839, 0.521329, -0.259328, 0.635952, -0.305934, 0.250890, 0.008159, 0.000000, 0.000000], [0.320082, -0.167422, -0.025244, 0.099117, 0.257429, 0.563924, 0.650688, -0.226675, 0.000000, 0.000000], [0.471891, 0.478162, -0.479765, 0.147814, 0.439220, -0.316445, -0.032059, 0.050769, 0.000000, 0.000000], [0.353026, -0.116494, 0.246435, 0.085996, -0.236543, -0.225279, 0.344298, 0.753944, 0.000000, 0.000000], [-0.234556, 0.575899, 0.301381, 0.619846, -0.031079, 0.337979, -0.049768, 0.143567, 0.000000, 0.000000]]
fourier: [[16.110352, 16.354505, 16.395956, 18.564297, 22.283467], [26.514529, 26.982427, 31.453865, 36.287812, 43.933846], [23.449308, 23.860840, 28.791643, 31.715503, 35.929864], [17.728962, 17.842459, 18.005424, 20.965337, 24.390815], [19.467821, 19.496530, 19.746605, 22.933970, 26.726455], [28.750789, 29.089684, 34.945873, 38.839966, 54.575288], [21.459512, 21.811168, 23.828958, 25.387979, 29.400257], [14.349257, 14.505684, 14.785538, 16.155698, 19.987815]]
### 12
mean: [-1.516936]
std: [2.985396]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.188078, 48.460343, 62.891317, 63.163292, 136.524265]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.20981,
-0.085588,
-0.35297,
-0.278247,
-0.094323
]
],
"network.8.bias": [
0.513812,
0.090167,
0.303264,
0.730845,
-0.137142,
0.059038,
-0.017956,
0.469599
],
"network.10.weight": [
[
-0.062565,
0.169844,
-0.069296,
-0.460033,
0.45274,
-0.359148,
0.186046,
-0.467487
],
[
0.757816,
-0.367436,
0.419749,
0.6259,
-0.483103,
0.123069,
-0.286348,
0.339234
],
[
0.765551,
0.119871,
0.619668,
0.636351,
-0.52857,
0.466933,
-0.220676,
0.359771
],
[
-0.498099,
0.140508,
-0.252266,
-0.497057,
0.33991,
-0.25195,
0.596765,
0.352544
],
[
0.111572,
0.004753,
0.484455,
0.689521,
-0.542298,
0.140602,
-0.484556,
0.033787
],
[
0.715617,
-0.216207,
0.355503,
0.803509,
-0.025918,
0.683417,
-0.799284,
0.709133
],
[
0.498355,
-0.202962,
0.42261,
0.565826,
-0.50859,
0.154815,
-0.255596,
0.152541
],
[
-0.257891,
-0.034157,
0.062812,
-0.175761,
0.589118,
-0.581563,
0.352539,
-0.396932
]
],
"network.10.bias": [
0.020808,
0.406539,
0.026133,
-0.080014,
0.067003,
0.313279,
0.230938,
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],
"network.12.weight": [
[
0.202769,
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-0.343076,
0.495212,
-0.327057,
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0.167152
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],
"network.12.bias": [
0.065864
]
}
## Activation Signature
### 0
mean: [0.749322, -3.591326, -0.346663, 0.068287, 0.279981, -1.304830, 1.617890, 1.737027]
std: [0.653592, 2.381084, 1.096385, 0.703398, 0.823718, 1.228610, 1.844474, 1.743037]
pca: [[0.004285, -0.237386, 0.244898, -0.488222, 0.012596, 0.423248, 0.677758, 0.081488, 0.000000, 0.000000], [0.632866, 0.668533, -0.174366, 0.024902, -0.219931, 0.170488, 0.201708, 0.058300, 0.000000, 0.000000], [-0.024510, 0.103600, 0.732314, 0.103102, -0.548392, -0.325936, 0.080084, -0.168434, 0.000000, 0.000000], [-0.151911, -0.042726, 0.134714, 0.640644, -0.103758, 0.723216, -0.038142, -0.106125, 0.000000, 0.000000], [-0.093694, 0.298083, 0.268564, -0.541730, 0.059646, 0.378613, -0.598384, -0.178329, 0.000000, 0.000000], [0.298626, 0.088379, 0.407358, 0.189970, 0.760050, -0.107701, 0.109805, -0.315675, 0.000000, 0.000000], [-0.517300, 0.391963, -0.277077, -0.041430, 0.000634, -0.070925, 0.329852, -0.621647, 0.000000, 0.000000], [-0.458508, 0.483584, 0.200875, 0.093210, 0.242361, -0.050407, 0.114747, 0.657595, 0.000000, 0.000000]]
fourier: [[9.403305, 10.193735, 11.619994, 13.343796, 67.438946], [39.387645, 40.358862, 44.938489, 45.201755, 323.219309], [16.788810, 17.606740, 20.038456, 20.880209, 31.199698], [10.988512, 11.004061, 11.627751, 11.706915, 12.010471], [11.581707, 12.866805, 14.024582, 15.762086, 25.198310], [21.624098, 22.514155, 24.520035, 25.064309, 117.434703], [33.726106, 33.974519, 34.511676, 41.617888, 145.610153], [28.348822, 30.503308, 35.235708, 38.230650, 156.332449]]
### 2
mean: [-1.222968, 1.014842, -1.816596, -1.218143, -1.504452, 1.214182, 1.714348, 0.202869]
std: [1.040440, 0.978056, 1.449526, 1.073148, 1.091439, 1.261271, 1.614837, 0.402136]
pca: [[-0.297286, 0.630816, -0.174227, -0.377276, 0.328089, 0.350737, -0.151600, -0.295567, 0.000000, 0.000000], [0.292326, 0.270218, 0.434034, 0.623889, 0.012880, 0.207036, -0.317041, -0.346930, 0.000000, 0.000000], [-0.451959, -0.210398, -0.039773, 0.375123, 0.609508, -0.002696, -0.305254, 0.380104, 0.000000, 0.000000], [-0.314034, 0.583808, 0.077668, 0.154448, -0.413688, -0.452088, -0.108179, 0.378735, 0.000000, 0.000000], [-0.340420, 0.044962, -0.153892, 0.414467, -0.229414, 0.517768, 0.602786, 0.050606, 0.000000, 0.000000], [0.394557, 0.085074, -0.175466, -0.098276, -0.176114, 0.527265, -0.332235, 0.614195, 0.000000, 0.000000], [0.499898, 0.362186, -0.241463, 0.181226, 0.478048, -0.250090, 0.450347, 0.184088, 0.000000, 0.000000], [-0.042696, 0.059304, 0.812939, -0.299282, 0.193333, 0.145230, 0.308344, 0.301123, 0.000000, 0.000000]]
fourier: [[18.136068, 18.587785, 19.231647, 20.990121, 110.067110], [14.929049, 16.741740, 18.594730, 23.787333, 91.335823], [24.534063, 26.138074, 29.117568, 34.397238, 163.493615], [18.761154, 18.878782, 20.637873, 21.469147, 109.632841], [19.001438, 19.689615, 21.730907, 25.087553, 135.400706], [21.740362, 24.282272, 24.774176, 29.328411, 109.276364], [26.972193, 29.711284, 30.869582, 38.648431, 154.291347], [5.817757, 6.269551, 7.512286, 8.127612, 18.258207]]
### 4
mean: [-0.646860, -2.075824, 0.733146, -2.767947, -1.290119, -1.618306, 0.014541, 0.820138]
std: [0.980294, 1.590509, 1.150742, 2.135489, 0.807541, 1.252962, 0.958711, 1.137435]
pca: [[0.263415, -0.346658, -0.107840, -0.307394, -0.214260, 0.578103, 0.228703, 0.521445, 0.000000, 0.000000], [0.428159, 0.403494, 0.137533, -0.464694, -0.368724, 0.174901, -0.284443, -0.414199, 0.000000, 0.000000], [-0.309847, 0.264057, -0.118972, -0.291451, 0.666978, 0.464741, -0.272274, 0.013892, 0.000000, 0.000000], [0.575900, -0.090531, -0.496960, -0.209007, 0.386404, -0.442109, -0.104366, 0.117597, 0.000000, 0.000000], [0.213850, 0.633372, 0.351661, 0.023966, 0.186926, -0.107307, 0.485848, 0.382577, 0.000000, 0.000000], [0.337594, 0.168364, -0.359891, 0.631231, 0.067784, 0.447759, 0.175355, -0.306394, 0.000000, 0.000000], [0.256745, -0.451095, 0.521222, -0.106083, 0.419765, 0.076009, 0.292513, -0.424413, 0.000000, 0.000000], [-0.306605, 0.078142, -0.428337, -0.388148, -0.090710, -0.077347, 0.655286, -0.349491, 0.000000, 0.000000]]
fourier: [[17.201807, 18.473464, 18.956371, 23.110425, 58.217360], [26.366095, 27.905170, 31.203320, 38.601444, 186.824195], [20.363775, 21.779033, 22.331648, 26.848360, 65.983127], [37.413570, 38.414784, 41.401708, 51.239432, 249.115212], [11.309836, 13.914693, 16.214503, 19.676016, 116.110717], [21.550608, 22.354286, 24.894255, 30.055021, 145.647548], [13.467548, 16.544045, 17.953961, 19.000546, 22.215023], [20.038869, 20.620032, 22.310555, 26.872650, 73.812403]]
### 6
mean: [-0.110952, -0.167237, -0.218905, -0.311819, -0.384534, -0.034733, -0.031706, 0.162487]
std: [0.541372, 0.887389, 0.613907, 0.718164, 0.704080, 0.818323, 0.863155, 0.898941]
pca: [[0.250049, -0.031894, -0.435130, 0.087290, -0.362532, -0.160181, 0.720215, 0.252395, 0.000000, 0.000000], [0.409973, 0.134703, 0.389374, -0.059609, 0.086999, 0.046814, -0.118892, 0.796691, 0.000000, 0.000000], [0.283503, -0.116614, 0.500068, -0.399650, -0.281349, -0.550906, 0.096034, -0.323051, 0.000000, 0.000000], [0.331659, 0.288506, 0.043339, -0.400563, -0.189103, 0.718956, 0.132541, -0.272419, 0.000000, 0.000000], [0.325062, -0.291967, 0.389483, 0.610365, 0.281522, 0.202206, 0.312833, -0.258537, 0.000000, 0.000000], [0.377919, -0.318049, -0.215314, 0.286896, -0.554627, 0.067917, -0.559865, -0.040978, 0.000000, 0.000000], [0.397890, 0.714907, -0.210584, 0.255807, 0.206074, -0.320164, -0.151629, -0.229884, 0.000000, 0.000000], [0.414995, -0.431871, -0.405833, -0.385182, 0.562807, -0.061233, -0.077846, -0.040485, 0.000000, 0.000000]]
fourier: [[9.682463, 9.985690, 10.169753, 10.369343, 12.849052], [15.051304, 15.968248, 16.176024, 17.053632, 21.159940], [10.984715, 11.152369, 11.864972, 14.601643, 19.701462], [12.666658, 13.210875, 13.747800, 17.213454, 28.063673], [12.776559, 13.094742, 13.562013, 16.573126, 34.608093], [11.228235, 14.958077, 15.117908, 15.733568, 19.301128], [11.484500, 15.038445, 16.143733, 16.415105, 20.674967], [14.623791, 16.276918, 16.567576, 17.360395, 21.306670]]
### 8
mean: [-0.008881, 0.567878, -0.147121, 0.126786, 0.357173, -0.250256, 0.425258, 0.245070]
std: [0.884899, 0.758418, 0.666484, 1.164182, 0.830871, 0.355012, 0.570531, 0.455858]
pca: [[0.417037, -0.144702, 0.004698, -0.497906, 0.220702, -0.141695, 0.188487, 0.672975, 0.000000, 0.000000], [-0.357360, -0.222522, 0.795434, -0.306934, 0.132973, 0.119742, 0.212345, -0.136904, 0.000000, 0.000000], [0.313842, 0.371483, 0.422023, 0.114574, -0.485656, 0.434891, -0.252703, 0.288828, 0.000000, 0.000000], [0.548449, -0.464581, 0.260708, 0.271757, 0.297911, -0.088188, -0.435799, -0.234731, 0.000000, 0.000000], [-0.391556, 0.171166, 0.212118, 0.467122, 0.306662, -0.347173, -0.258492, 0.522303, 0.000000, 0.000000], [0.166077, 0.568978, 0.001716, -0.020067, 0.697828, 0.348437, 0.092775, -0.176908, 0.000000, 0.000000], [-0.268415, -0.451341, -0.260193, 0.098795, 0.163760, 0.722844, -0.136304, 0.280864, 0.000000, 0.000000], [0.214793, -0.137723, 0.092160, 0.585266, -0.034236, 0.065084, 0.756041, 0.082830, 0.000000, 0.000000]]
fourier: [[14.159096, 14.633800, 14.958852, 15.934705, 19.963708], [12.439876, 12.608341, 13.894241, 17.247264, 51.109062], [10.954736, 10.959071, 12.419676, 13.240908, 15.152678], [18.447933, 19.260535, 19.808880, 20.794341, 26.201969], [13.742897, 14.063925, 14.928549, 18.738020, 32.145585], [5.704472, 6.049903, 6.852994, 8.135646, 22.523047], [9.312395, 9.461413, 10.711399, 12.990322, 38.273179], [7.517943, 7.716497, 8.191815, 10.283526, 22.056320]]
### 10
mean: [0.058646, 0.488154, 0.399221, 0.074675, 0.052185, 0.606392, 0.264766, 0.140231]
std: [0.993968, 1.637516, 1.451234, 1.095910, 1.200970, 1.771420, 1.324439, 0.883304]
pca: [[-0.264591, 0.390311, -0.197537, -0.120002, -0.461347, -0.301962, 0.599605, -0.246332, 0.000000, 0.000000], [0.436492, -0.091020, 0.471381, 0.333388, -0.175540, -0.369300, -0.070550, -0.543753, 0.000000, 0.000000], [0.386481, 0.472092, 0.290900, -0.619616, -0.189228, 0.309376, -0.164654, -0.024166, 0.000000, 0.000000], [-0.292098, 0.120839, 0.521329, -0.259328, 0.635952, -0.305934, 0.250890, 0.008159, 0.000000, 0.000000], [0.320082, -0.167422, -0.025244, 0.099117, 0.257429, 0.563924, 0.650688, -0.226675, 0.000000, 0.000000], [0.471891, 0.478162, -0.479765, 0.147814, 0.439220, -0.316445, -0.032059, 0.050769, 0.000000, 0.000000], [0.353026, -0.116494, 0.246435, 0.085996, -0.236543, -0.225279, 0.344298, 0.753944, 0.000000, 0.000000], [-0.234556, 0.575899, 0.301381, 0.619846, -0.031079, 0.337979, -0.049768, 0.143567, 0.000000, 0.000000]]
fourier: [[16.110352, 16.354505, 16.395956, 18.564297, 22.283467], [26.514529, 26.982427, 31.453865, 36.287812, 43.933846], [23.449308, 23.860840, 28.791643, 31.715503, 35.929864], [17.728962, 17.842459, 18.005424, 20.965337, 24.390815], [19.467821, 19.496530, 19.746605, 22.933970, 26.726455], [28.750789, 29.089684, 34.945873, 38.839966, 54.575288], [21.459512, 21.811168, 23.828958, 25.387979, 29.400257], [14.349257, 14.505684, 14.785538, 16.155698, 19.987815]]
### 12
mean: [-1.516936]
std: [2.985396]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.188078, 48.460343, 62.891317, 63.163292, 136.524265]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.7493215799331665, "std": 0.6535919308662415, "pca": [0.004285317379981279, -0.23738647997379303, 0.24489784240722656, -0.48822155594825745, 0.012596208602190018, 0.4232482612133026, 0.6777580380439758, 0.08148811012506485, 0.0, 0.0], "fourier": [9.40330468117579, 10.193735464174475, 11.619993636844592, 13.343796421608692, 67.43894638121128]}, "1": {"mean": -3.591325521469116, "std": 2.3810842037200928, "pca": [0.6328656673431396, 0.6685332655906677, -0.1743655800819397, 0.024902330711483955, -0.21993114054203033, 0.1704883873462677, 0.20170755684375763, 0.058300379663705826, 0.0, 0.0], "fourier": [39.38764503578042, 40.358862367382905, 44.93848895569459, 45.201755055810324, 323.21930915117264]}, "2": {"mean": -0.346663236618042, "std": 1.09638512134552, "pca": [-0.024509599432349205, 0.10360030084848404, 0.7323144674301147, 0.10310234874486923, -0.5483919382095337, -0.32593610882759094, 0.08008438348770142, -0.168434277176857, 0.0, 0.0], "fourier": [16.788810317091187, 17.606740248337328, 20.0384561503147, 20.880208673859382, 31.199697762727737]}, "3": {"mean": 0.06828748434782028, "std": 0.7033981084823608, "pca": [-0.15191110968589783, -0.04272552207112312, 0.1347140371799469, 0.6406441926956177, -0.10375764220952988, 0.7232161164283752, -0.03814249858260155, -0.1061253771185875, 0.0, 0.0], "fourier": [10.988511862172704, 11.004061385710845, 11.62775070013901, 11.706915151123853, 12.010470554472427]}, "4": {"mean": 0.27998122572898865, "std": 0.823718249797821, "pca": [-0.09369362890720367, 0.2980828583240509, 0.26856401562690735, -0.5417299270629883, 0.05964620038866997, 0.37861302495002747, -0.598383903503418, -0.1783294677734375, 0.0, 0.0], "fourier": [11.581706766919817, 12.866804734829651, 14.024582206639465, 15.762086484513086, 25.198310062289238]}, "5": {"mean": -1.3048299551010132, "std": 1.2286100387573242, "pca": [0.2986260652542114, 0.08837894350290298, 0.40735796093940735, 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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": [[-0.081011, -0.147833, 0.222135, 0.260586, -0.145696], [-0.722665, -0.014438, -0.617231, -0.571267, 0.197946], [0.226363, -0.430111, -0.245467, 0.45345, -0.015629], [0.340785, 0.020968, -0.126636, 0.129741, -0.058891], [0.020263, -0.194319, -0.050427, 0.140738, 0.374615], [-0.424417, 0.154493, -0.33602, 0.123467, -0.018115], [0.583016, 0.028864, 0.050222, -0.116601, 0.626954], [0.539986, -0.03843, -0.183618, 0.142648, 0.672572]], "network.0.bias": [0.276386, -0.395456, -0.284971, -0.33507, -0.049636, -0.598705, 0.211653, 0.383225], "network.2.weight": [[-0.115463, 0.216991, 0.426976, -0.1304, 0.072351, -0.077659, -0.442355, -0.11741], [-0.237795, -0.117693, 0.748397, 0.20795, -0.240268, -0.197439, 0.284926, 0.224722], [-0.23205, 0.443078, -0.521936, 0.011919, 0.064764, -0.065646, -0.39156, -0.447522], [-0.318206, 0.383484, 0.693531, -0.11448, -0.05991, 0.049228, -0.23263, -0.359392], [-0.252077, -0.228435, -0.118494, 0.067805, 0.290409, -0.13769, -0.204161, -0.51766], [0.106118, -0.027661, 0.214589, 0.025469, 0.168673, -0.12433, 0.282529, 0.382676], [-0.097741, -0.06796, 0.613013, 0.063292, 0.291232, 0.197823, 0.311102, 0.468793], [0.137943, -0.010191, 0.214377, 0.325881, -0.571335, -0.183416, -0.046773, 0.073697]], "network.2.bias": [-0.321526, 0.241103, -0.217281, -0.09752, -0.25492, -0.052381, 0.292751, 0.146479], "network.4.weight": [[0.172052, -0.253643, -0.750016, -0.461245, -0.130661, -0.32558, -0.148161, 0.200841], [0.315929, -0.658645, 0.165343, 0.408348, 0.212317, -0.290175, -0.384451, -0.412402], [0.183125, 0.193298, 0.544349, 0.486469, 0.282395, 0.449464, 0.184907, 0.074888], [-0.098636, -0.602799, -0.031528, 0.584011, 0.342897, -0.71037, -0.414127, -0.214602], [0.450923, -0.321151, 0.637621, 0.456157, 0.324524, -0.019033, -0.340246, -0.678818], [0.215867, -0.21714, -0.234303, 0.549585, 0.060675, -0.562779, -0.212302, -0.544622], [-0.432113, -0.04871, -0.397084, -0.558436, -0.484527, -0.105138, -0.405297, 0.108714], [0.423548, 0.109903, 0.463692, -0.065954, 0.119775, 0.266199, 0.387271, 0.327923]], "network.4.bias": [0.05762, -0.315522, -0.127877, -0.59733, -0.106534, -0.267253, 0.635164, -0.184815], "network.6.weight": [[-0.150962, -0.078663, -0.061572, -0.063197, -0.440094, -0.625573, 0.305522, -0.284238], [0.292708, -0.185329, -0.297844, -0.587711, -0.337295, -0.021339, 0.362322, -0.332357], [0.237092, 0.293278, -0.152048, -0.565833, -0.042758, 0.236146, 0.210555, -0.335511], [0.398665, -0.275394, -0.125091, 0.081791, -0.608252, -0.198332, 0.344764, -0.355228], [0.082035, -0.242549, -0.434049, -0.494273, -0.027718, 0.059702, 0.215707, -0.106227], [-0.113704, -0.243462, -0.271793, 0.024423, -0.516084, -0.230702, 0.403464, -0.31391], [0.013854, -0.572232, -0.133604, -0.545811, -0.371055, -0.843724, 0.536256, -0.362204], [0.127431, -0.526656, -0.111381, -0.126416, -0.682864, -0.550871, 0.177855, -0.542355]], "network.6.bias": [-0.050785, 0.120389, 0.11126, -0.135742, -0.091949, 0.202098, -0.014266, 0.439114], "network.8.weight": [[-0.574116, -0.524568, -0.066699, -0.211861, -0.559038, -0.648683, -0.478793, -0.478727], [0.853701, 0.106104, -0.027827, 0.418598, -0.095534, 0.525358, 0.555782, 0.500494], [-0.460288, -0.132123, -0.258023, 0.111671, -0.280253, -0.300045, -0.250091, -0.821732], [-0.821728, -0.801181, -0.746566, -0.452373, -0.630655, -0.74429, -0.532031, -0.384388], [0.28425, 0.153474, 0.161055, 0.512031, 0.416318, 0.649427, 0.633277, 0.473157], [-0.378915, 0.027999, 0.1314, 0.488411, -0.116098, -0.063074, -0.262344, -0.692401], [0.19229, 0.159466, 0.042881, -0.201084, 0.085638, 0.39637, 0.201117, 0.82879], [-0.332666, -0.122208, -0.579623, -0.20981, -0.085588, -0.35297, -0.278247, -0.094323]], "network.8.bias": [0.513812, 0.090167, 0.303264, 0.730845, -0.137142, 0.059038, -0.017956, 0.469599], "network.10.weight": [[-0.062565, 0.169844, -0.069296, -0.460033, 0.45274, -0.359148, 0.186046, -0.467487], [0.757816, -0.367436, 0.419749, 0.6259, -0.483103, 0.123069, -0.286348, 0.339234], [0.765551, 0.119871, 0.619668, 0.636351, -0.52857, 0.466933, -0.220676, 0.359771], [-0.498099, 0.140508, -0.252266, -0.497057, 0.33991, -0.25195, 0.596765, 0.352544], [0.111572, 0.004753, 0.484455, 0.689521, -0.542298, 0.140602, -0.484556, 0.033787], [0.715617, -0.216207, 0.355503, 0.803509, -0.025918, 0.683417, -0.799284, 0.709133], [0.498355, -0.202962, 0.42261, 0.565826, -0.50859, 0.154815, -0.255596, 0.152541], [-0.257891, -0.034157, 0.062812, -0.175761, 0.589118, -0.581563, 0.352539, -0.396932]], "network.10.bias": [0.020808, 0.406539, 0.026133, -0.080014, 0.067003, 0.313279, 0.230938, -0.035276], "network.12.weight": [[0.202769, -0.52184, -0.343076, 0.495212, -0.327057, -0.676082, -0.494916, 0.167152]], "network.12.bias": [0.065864]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7285830676555634, "train_acc": 0.41, "val_loss": 0.6901111006736755, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6881599128246307, "train_acc": 0.475, "val_loss": 0.6937841773033142, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6403051018714905, "train_acc": 0.59, "val_loss": 0.6057631969451904, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6284053921699524, "train_acc": 0.535, "val_loss": 0.6205137968063354, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5180477946996689, "train_acc": 0.735, "val_loss": 0.38332709670066833, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.42047564685344696, "train_acc": 0.81, "val_loss": 0.2596743404865265, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2863621637225151, "train_acc": 0.88, "val_loss": 0.30356141924858093, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.34164945781230927, "train_acc": 0.865, "val_loss": 0.29068371653556824, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3022920861840248, "train_acc": 0.875, "val_loss": 0.26971572637557983, "val_acc": 0.92}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6901111006736755, "final_val_loss": 0.6057631969451904, "initial_val_acc": 0.62, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6205137968063354, "final_val_loss": 0.26971572637557983, "initial_val_acc": 0.66, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.49999999999999994, "first_improvement_epoch": 2}}
|
9,907
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.52, "improved_accuracy": 0.72, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2154, "learning_rate": 0.08858381595295774, "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: 5
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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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.536402, 1.576707, 2.128211, -0.269327, -2.127784, 0.373778, 2.515914, -3.266801]
std: [1.587734, 2.110955, 1.505815, 1.210067, 1.769110, 1.336931, 2.173425, 2.071956]
pca: [[0.225328, -0.418693, -0.326699, 0.033029, -0.488060, 0.582920, -0.291718, 0.054800, 0.000000, 0.000000], [0.550073, -0.381255, -0.130069, -0.154913, -0.173767, -0.417278, 0.553609, -0.018693, 0.000000, 0.000000], [0.358332, 0.018079, 0.534156, 0.025672, 0.120541, 0.209925, 0.009657, 0.725671, 0.000000, 0.000000], [-0.112789, -0.043016, -0.409863, -0.511589, 0.526643, 0.391512, 0.309193, 0.171706, 0.000000, 0.000000], [-0.434524, -0.156646, -0.250227, 0.621273, -0.072052, -0.003024, 0.427129, 0.387837, 0.000000, 0.000000], [-0.176254, 0.310899, 0.342463, -0.206498, -0.481883, 0.381689, 0.541498, -0.203067, 0.000000, 0.000000], [0.161907, 0.664984, -0.477022, -0.121998, -0.325346, -0.195862, -0.086360, 0.370781, 0.000000, 0.000000], [-0.509346, -0.337289, 0.124880, -0.518675, -0.310591, -0.323537, -0.172067, 0.333818, 0.000000, 0.000000]]
fourier: [[23.995689, 31.084802, 32.246150, 35.914199, 48.276186], [34.512609, 37.281499, 45.211122, 46.364430, 141.903662], [22.747900, 27.631281, 27.856256, 30.899311, 191.538934], [19.605922, 20.942942, 21.869348, 23.546266, 24.239455], [29.490473, 30.559906, 33.261779, 33.860225, 191.500600], [20.851517, 21.124748, 23.402949, 27.497101, 33.639995], [30.642664, 31.794524, 36.228598, 42.354465, 226.432265], [33.117876, 33.543139, 36.020200, 36.264162, 294.012080]]
### 2
mean: [-1.610012, -3.589067, 1.519289, 1.142391, -3.222721, -2.934523, -3.354515, 0.582438]
std: [0.984325, 1.544942, 2.228008, 1.910266, 1.607197, 1.460086, 1.573128, 0.882933]
pca: [[-0.203753, -0.160187, 0.833835, -0.063990, -0.105500, -0.067747, -0.212299, -0.415522, 0.000000, 0.000000], [-0.290219, -0.437452, -0.060706, -0.187028, 0.736040, -0.310144, 0.216688, -0.029090, 0.000000, 0.000000], [0.533210, -0.449371, 0.087227, -0.209276, 0.223962, 0.547326, -0.309039, 0.130837, 0.000000, 0.000000], [-0.285211, 0.616783, 0.233784, -0.060391, 0.471293, 0.465138, -0.031578, 0.201155, 0.000000, 0.000000], [-0.395854, -0.297444, -0.063931, -0.155442, -0.311021, 0.556658, 0.558051, -0.092487, 0.000000, 0.000000], [-0.389275, -0.147025, -0.378987, 0.444153, 0.084764, 0.243036, -0.530914, -0.371248, 0.000000, 0.000000], [-0.394404, -0.273064, 0.143469, 0.092770, -0.206151, -0.088239, -0.280278, 0.782210, 0.000000, 0.000000], [0.211684, -0.126359, 0.265460, 0.826706, 0.168587, 0.081117, 0.373668, 0.103359, 0.000000, 0.000000]]
fourier: [[14.915023, 16.892894, 16.893867, 19.048565, 144.901119], [23.026249, 25.447210, 25.954709, 26.377111, 323.015989], [36.149889, 37.575426, 42.051753, 52.181962, 136.736035], [27.316193, 30.159109, 34.103000, 42.626384, 102.815198], [24.051716, 24.672206, 28.929992, 30.161701, 290.044839], [21.821889, 25.303385, 28.292377, 29.400718, 264.107057], [22.867938, 23.788849, 28.070364, 31.098173, 301.906370], [13.864056, 13.931987, 16.824434, 18.516645, 52.419462]]
### 4
mean: [-1.757669, -1.412892, -0.133133, 0.842213, -0.074398, 0.959465, -0.759503, -1.575050]
std: [0.844406, 0.494573, 0.876026, 0.790153, 0.981618, 1.420920, 0.470814, 0.712110]
pca: [[-0.155197, 0.615908, 0.032030, 0.435721, -0.027447, 0.184328, 0.247776, 0.556390, 0.000000, 0.000000], [-0.104115, 0.343865, -0.398912, -0.188680, -0.447831, -0.318935, 0.485588, -0.371643, 0.000000, 0.000000], [-0.406887, 0.080583, 0.740257, 0.051117, -0.195614, 0.215928, 0.122743, -0.421190, 0.000000, 0.000000], [-0.304322, -0.364058, -0.275349, 0.770033, 0.116886, -0.128843, 0.089413, -0.260430, 0.000000, 0.000000], [-0.456143, -0.162845, -0.245355, -0.373191, 0.459887, 0.422112, 0.415957, 0.057016, 0.000000, 0.000000], [0.676076, 0.008575, 0.185468, 0.165575, 0.323420, 0.120171, 0.555015, -0.232274, 0.000000, 0.000000], [0.158252, 0.256595, -0.348340, 0.106148, -0.130389, 0.699300, -0.348855, -0.385726, 0.000000, 0.000000], [-0.129290, 0.520528, 0.010348, -0.032074, 0.643171, -0.345598, -0.277471, -0.317964, 0.000000, 0.000000]]
fourier: [[12.855584, 13.919474, 14.157027, 16.461100, 158.190196], [7.544453, 7.954130, 8.413736, 8.504481, 127.160233], [13.609779, 14.647111, 15.418183, 15.895458, 19.765326], [11.856509, 11.918233, 12.315916, 16.988917, 75.799147], [13.829476, 14.128886, 16.629942, 17.072133, 23.316082], [22.429874, 24.388035, 24.489827, 33.894154, 86.351825], [7.187375, 7.615854, 8.793871, 8.820780, 68.355249], [10.837898, 11.782763, 11.922216, 13.860926, 141.754486]]
### 6
mean: [0.457904, 0.704849, 0.878522, 0.524576, -0.033974, 0.154225, -0.106945, -1.208823]
std: [1.211257, 0.867128, 0.973967, 0.157777, 0.737911, 0.205897, 0.834629, 0.581082]
pca: [[0.564596, 0.195981, 0.194120, 0.210168, 0.741813, 0.003730, -0.102800, -0.010066, 0.000000, 0.000000], [-0.395887, -0.388101, 0.155198, 0.389850, 0.203204, -0.526445, -0.349905, -0.275158, 0.000000, 0.000000], [0.447309, -0.380202, 0.160331, 0.002316, -0.199859, -0.326645, 0.616697, -0.320459, 0.000000, 0.000000], [-0.028100, -0.298563, 0.167812, 0.597483, -0.108347, 0.704004, 0.069623, -0.112762, 0.000000, 0.000000], [0.343465, 0.111856, 0.493304, 0.181631, -0.519605, -0.193417, -0.389877, 0.365757, 0.000000, 0.000000], [-0.090339, -0.136370, -0.262350, 0.377802, 0.128418, -0.215627, 0.366119, 0.751433, 0.000000, 0.000000], [-0.388883, -0.014362, 0.753009, -0.296400, 0.231113, 0.088003, 0.304081, 0.200163, 0.000000, 0.000000], [-0.215106, 0.738891, 0.071876, 0.428110, -0.129789, -0.169921, 0.321440, -0.265109, 0.000000, 0.000000]]
fourier: [[18.028519, 20.444787, 20.795195, 29.042566, 41.211389], [13.337547, 14.466116, 14.630664, 20.280665, 63.436427], [15.468815, 16.150699, 17.606010, 23.475062, 79.066949], [2.384357, 2.475130, 2.715683, 3.032533, 47.211809], [11.177484, 11.214354, 12.108009, 12.692892, 17.616992], [3.013287, 3.360146, 3.619118, 4.520066, 13.880217], [11.441055, 12.167390, 13.360070, 15.818583, 20.257626], [8.959765, 9.546922, 9.946011, 12.153195, 108.794114]]
### 8
mean: [-1.085891, -0.620950, 0.217662, -0.342047, 0.741376, -0.668020, 0.367121, -0.779086]
std: [0.630750, 0.159055, 1.026438, 0.676254, 1.384256, 0.403401, 0.959456, 0.255812]
pca: [[-0.253334, 0.627621, -0.462831, 0.015403, -0.039189, 0.198988, -0.503086, -0.182306, 0.000000, 0.000000], [0.001363, 0.328897, 0.026059, -0.171288, 0.594559, 0.185540, 0.165327, 0.668242, 0.000000, 0.000000], [0.466827, 0.256213, 0.325332, 0.438397, 0.260815, -0.448266, -0.384501, -0.039836, 0.000000, 0.000000], [0.305259, 0.232473, -0.548833, -0.062695, 0.119887, -0.398523, 0.560936, -0.244505, 0.000000, 0.000000], [0.634259, 0.042870, -0.002720, 0.139496, -0.037052, 0.729992, 0.097888, -0.180467, 0.000000, 0.000000], [-0.170408, 0.321658, 0.070842, 0.608837, -0.493553, 0.022529, 0.365515, 0.337777, 0.000000, 0.000000], [0.439547, -0.026127, -0.217441, -0.362374, -0.515540, -0.176388, -0.277157, 0.503796, 0.000000, 0.000000], [0.013577, 0.521771, 0.570739, -0.502836, -0.227636, -0.041331, 0.192566, -0.241611, 0.000000, 0.000000]]
fourier: [[9.311994, 9.861987, 12.409553, 13.820141, 97.730186], [2.446225, 2.470066, 2.518641, 3.193257, 55.885461], [14.991394, 16.228657, 18.238759, 19.589599, 25.284542], [10.296559, 11.236171, 11.391542, 16.214834, 30.784204], [20.610459, 22.069894, 25.655590, 34.021052, 66.723861], [6.094463, 6.301381, 7.977562, 9.208845, 60.121798], [14.249545, 15.415110, 17.957227, 23.452374, 33.040866], [3.819441, 4.280438, 4.563444, 5.152806, 70.117708]]
### 10
mean: [-0.531253]
std: [0.818034]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.174373, 12.451088, 16.240747, 19.853664, 47.812764]]
## 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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.363708,
-0.201161,
0.31538
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0.001297,
0.556111
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[
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0.410458,
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[
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0.363609,
-0.30115,
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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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0.411644,
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-0.164346,
0.169357,
0.056024,
0.029572,
-0.430712
]
],
"network.2.bias": [
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0.053709,
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"network.4.weight": [
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0.303326,
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[
0.338723,
0.013002,
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0.2084,
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0.323279,
0.030937,
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[
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[
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0.094124
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0.039853,
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0.430455,
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0.167196,
0.156352
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0.055946,
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],
"network.4.bias": [
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0.06572,
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"network.6.weight": [
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[
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0.206152,
-0.091003
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],
"network.6.bias": [
0.33688,
0.414968,
0.184601,
0.120085,
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0.044156,
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],
"network.8.weight": [
[
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0.313848
],
[
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0.306872,
0.040376,
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0.284865,
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],
[
-0.031738,
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0.164334,
0.316396,
0.398293,
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[
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0.469567,
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-0.159434,
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0.032679
],
[
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0.209929,
0.164914,
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-0.306167,
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],
[
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0.441703,
-0.066417,
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],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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0.127914,
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]
],
"network.10.bias": [
0.120429
]
}
## Activation Signature
### 0
mean: [-0.536402, 1.576707, 2.128211, -0.269327, -2.127784, 0.373778, 2.515914, -3.266801]
std: [1.587734, 2.110955, 1.505815, 1.210067, 1.769110, 1.336931, 2.173425, 2.071956]
pca: [[0.225328, -0.418693, -0.326699, 0.033029, -0.488060, 0.582920, -0.291718, 0.054800, 0.000000, 0.000000], [0.550073, -0.381255, -0.130069, -0.154913, -0.173767, -0.417278, 0.553609, -0.018693, 0.000000, 0.000000], [0.358332, 0.018079, 0.534156, 0.025672, 0.120541, 0.209925, 0.009657, 0.725671, 0.000000, 0.000000], [-0.112789, -0.043016, -0.409863, -0.511589, 0.526643, 0.391512, 0.309193, 0.171706, 0.000000, 0.000000], [-0.434524, -0.156646, -0.250227, 0.621273, -0.072052, -0.003024, 0.427129, 0.387837, 0.000000, 0.000000], [-0.176254, 0.310899, 0.342463, -0.206498, -0.481883, 0.381689, 0.541498, -0.203067, 0.000000, 0.000000], [0.161907, 0.664984, -0.477022, -0.121998, -0.325346, -0.195862, -0.086360, 0.370781, 0.000000, 0.000000], [-0.509346, -0.337289, 0.124880, -0.518675, -0.310591, -0.323537, -0.172067, 0.333818, 0.000000, 0.000000]]
fourier: [[23.995689, 31.084802, 32.246150, 35.914199, 48.276186], [34.512609, 37.281499, 45.211122, 46.364430, 141.903662], [22.747900, 27.631281, 27.856256, 30.899311, 191.538934], [19.605922, 20.942942, 21.869348, 23.546266, 24.239455], [29.490473, 30.559906, 33.261779, 33.860225, 191.500600], [20.851517, 21.124748, 23.402949, 27.497101, 33.639995], [30.642664, 31.794524, 36.228598, 42.354465, 226.432265], [33.117876, 33.543139, 36.020200, 36.264162, 294.012080]]
### 2
mean: [-1.610012, -3.589067, 1.519289, 1.142391, -3.222721, -2.934523, -3.354515, 0.582438]
std: [0.984325, 1.544942, 2.228008, 1.910266, 1.607197, 1.460086, 1.573128, 0.882933]
pca: [[-0.203753, -0.160187, 0.833835, -0.063990, -0.105500, -0.067747, -0.212299, -0.415522, 0.000000, 0.000000], [-0.290219, -0.437452, -0.060706, -0.187028, 0.736040, -0.310144, 0.216688, -0.029090, 0.000000, 0.000000], [0.533210, -0.449371, 0.087227, -0.209276, 0.223962, 0.547326, -0.309039, 0.130837, 0.000000, 0.000000], [-0.285211, 0.616783, 0.233784, -0.060391, 0.471293, 0.465138, -0.031578, 0.201155, 0.000000, 0.000000], [-0.395854, -0.297444, -0.063931, -0.155442, -0.311021, 0.556658, 0.558051, -0.092487, 0.000000, 0.000000], [-0.389275, -0.147025, -0.378987, 0.444153, 0.084764, 0.243036, -0.530914, -0.371248, 0.000000, 0.000000], [-0.394404, -0.273064, 0.143469, 0.092770, -0.206151, -0.088239, -0.280278, 0.782210, 0.000000, 0.000000], [0.211684, -0.126359, 0.265460, 0.826706, 0.168587, 0.081117, 0.373668, 0.103359, 0.000000, 0.000000]]
fourier: [[14.915023, 16.892894, 16.893867, 19.048565, 144.901119], [23.026249, 25.447210, 25.954709, 26.377111, 323.015989], [36.149889, 37.575426, 42.051753, 52.181962, 136.736035], [27.316193, 30.159109, 34.103000, 42.626384, 102.815198], [24.051716, 24.672206, 28.929992, 30.161701, 290.044839], [21.821889, 25.303385, 28.292377, 29.400718, 264.107057], [22.867938, 23.788849, 28.070364, 31.098173, 301.906370], [13.864056, 13.931987, 16.824434, 18.516645, 52.419462]]
### 4
mean: [-1.757669, -1.412892, -0.133133, 0.842213, -0.074398, 0.959465, -0.759503, -1.575050]
std: [0.844406, 0.494573, 0.876026, 0.790153, 0.981618, 1.420920, 0.470814, 0.712110]
pca: [[-0.155197, 0.615908, 0.032030, 0.435721, -0.027447, 0.184328, 0.247776, 0.556390, 0.000000, 0.000000], [-0.104115, 0.343865, -0.398912, -0.188680, -0.447831, -0.318935, 0.485588, -0.371643, 0.000000, 0.000000], [-0.406887, 0.080583, 0.740257, 0.051117, -0.195614, 0.215928, 0.122743, -0.421190, 0.000000, 0.000000], [-0.304322, -0.364058, -0.275349, 0.770033, 0.116886, -0.128843, 0.089413, -0.260430, 0.000000, 0.000000], [-0.456143, -0.162845, -0.245355, -0.373191, 0.459887, 0.422112, 0.415957, 0.057016, 0.000000, 0.000000], [0.676076, 0.008575, 0.185468, 0.165575, 0.323420, 0.120171, 0.555015, -0.232274, 0.000000, 0.000000], [0.158252, 0.256595, -0.348340, 0.106148, -0.130389, 0.699300, -0.348855, -0.385726, 0.000000, 0.000000], [-0.129290, 0.520528, 0.010348, -0.032074, 0.643171, -0.345598, -0.277471, -0.317964, 0.000000, 0.000000]]
fourier: [[12.855584, 13.919474, 14.157027, 16.461100, 158.190196], [7.544453, 7.954130, 8.413736, 8.504481, 127.160233], [13.609779, 14.647111, 15.418183, 15.895458, 19.765326], [11.856509, 11.918233, 12.315916, 16.988917, 75.799147], [13.829476, 14.128886, 16.629942, 17.072133, 23.316082], [22.429874, 24.388035, 24.489827, 33.894154, 86.351825], [7.187375, 7.615854, 8.793871, 8.820780, 68.355249], [10.837898, 11.782763, 11.922216, 13.860926, 141.754486]]
### 6
mean: [0.457904, 0.704849, 0.878522, 0.524576, -0.033974, 0.154225, -0.106945, -1.208823]
std: [1.211257, 0.867128, 0.973967, 0.157777, 0.737911, 0.205897, 0.834629, 0.581082]
pca: [[0.564596, 0.195981, 0.194120, 0.210168, 0.741813, 0.003730, -0.102800, -0.010066, 0.000000, 0.000000], [-0.395887, -0.388101, 0.155198, 0.389850, 0.203204, -0.526445, -0.349905, -0.275158, 0.000000, 0.000000], [0.447309, -0.380202, 0.160331, 0.002316, -0.199859, -0.326645, 0.616697, -0.320459, 0.000000, 0.000000], [-0.028100, -0.298563, 0.167812, 0.597483, -0.108347, 0.704004, 0.069623, -0.112762, 0.000000, 0.000000], [0.343465, 0.111856, 0.493304, 0.181631, -0.519605, -0.193417, -0.389877, 0.365757, 0.000000, 0.000000], [-0.090339, -0.136370, -0.262350, 0.377802, 0.128418, -0.215627, 0.366119, 0.751433, 0.000000, 0.000000], [-0.388883, -0.014362, 0.753009, -0.296400, 0.231113, 0.088003, 0.304081, 0.200163, 0.000000, 0.000000], [-0.215106, 0.738891, 0.071876, 0.428110, -0.129789, -0.169921, 0.321440, -0.265109, 0.000000, 0.000000]]
fourier: [[18.028519, 20.444787, 20.795195, 29.042566, 41.211389], [13.337547, 14.466116, 14.630664, 20.280665, 63.436427], [15.468815, 16.150699, 17.606010, 23.475062, 79.066949], [2.384357, 2.475130, 2.715683, 3.032533, 47.211809], [11.177484, 11.214354, 12.108009, 12.692892, 17.616992], [3.013287, 3.360146, 3.619118, 4.520066, 13.880217], [11.441055, 12.167390, 13.360070, 15.818583, 20.257626], [8.959765, 9.546922, 9.946011, 12.153195, 108.794114]]
### 8
mean: [-1.085891, -0.620950, 0.217662, -0.342047, 0.741376, -0.668020, 0.367121, -0.779086]
std: [0.630750, 0.159055, 1.026438, 0.676254, 1.384256, 0.403401, 0.959456, 0.255812]
pca: [[-0.253334, 0.627621, -0.462831, 0.015403, -0.039189, 0.198988, -0.503086, -0.182306, 0.000000, 0.000000], [0.001363, 0.328897, 0.026059, -0.171288, 0.594559, 0.185540, 0.165327, 0.668242, 0.000000, 0.000000], [0.466827, 0.256213, 0.325332, 0.438397, 0.260815, -0.448266, -0.384501, -0.039836, 0.000000, 0.000000], [0.305259, 0.232473, -0.548833, -0.062695, 0.119887, -0.398523, 0.560936, -0.244505, 0.000000, 0.000000], [0.634259, 0.042870, -0.002720, 0.139496, -0.037052, 0.729992, 0.097888, -0.180467, 0.000000, 0.000000], [-0.170408, 0.321658, 0.070842, 0.608837, -0.493553, 0.022529, 0.365515, 0.337777, 0.000000, 0.000000], [0.439547, -0.026127, -0.217441, -0.362374, -0.515540, -0.176388, -0.277157, 0.503796, 0.000000, 0.000000], [0.013577, 0.521771, 0.570739, -0.502836, -0.227636, -0.041331, 0.192566, -0.241611, 0.000000, 0.000000]]
fourier: [[9.311994, 9.861987, 12.409553, 13.820141, 97.730186], [2.446225, 2.470066, 2.518641, 3.193257, 55.885461], [14.991394, 16.228657, 18.238759, 19.589599, 25.284542], [10.296559, 11.236171, 11.391542, 16.214834, 30.784204], [20.610459, 22.069894, 25.655590, 34.021052, 66.723861], [6.094463, 6.301381, 7.977562, 9.208845, 60.121798], [14.249545, 15.415110, 17.957227, 23.452374, 33.040866], [3.819441, 4.280438, 4.563444, 5.152806, 70.117708]]
### 10
mean: [-0.531253]
std: [0.818034]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.174373, 12.451088, 16.240747, 19.853664, 47.812764]]
## 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": 0.6908182501792908, "train_acc": 0.56, "val_loss": 0.6895285248756409, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776517927646637, "train_acc": 0.56, "val_loss": 0.6708853244781494, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6451520919799805, "train_acc": 0.56, "val_loss": 0.6496527194976807, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.9877645969390869, "train_acc": 0.515, "val_loss": 0.6199072599411011, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6540728509426117, "train_acc": 0.65, "val_loss": 0.6920498609542847, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6977899074554443, "train_acc": 0.52, "val_loss": 0.7068870663642883, "val_acc": 0.5}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.7038694024085999, "train_acc": 0.51, "val_loss": 0.7093156576156616, "val_acc": 0.48}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6895285248756409, "final_val_loss": 0.6496527194976807, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6199072599411011, "final_val_loss": 0.7093156576156616, "initial_val_acc": 0.72, "final_val_acc": 0.48, "best_val_acc": 0.72, "best_epoch": 3}, "improvement": 0.19999999999999996, "first_improvement_epoch": 2}}
|
9,908
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2366, "learning_rate": 0.0767678052670253, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [2.012511, 0.611423, 0.080809, 0.081564, -0.649149]
std: [1.980596, 1.965225, 2.153879, 1.435485, 1.320642]
pca: [[-0.651245, 0.001125, -0.370761, 0.647550, -0.138182, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.142186, 0.773024, -0.463184, -0.036513, 0.407854, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.681303, -0.289967, -0.526706, 0.329367, -0.256601, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110991, -0.556227, -0.277681, -0.105737, 0.768118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.281374, 0.094674, 0.541729, 0.677999, 0.398387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.609832, 35.823592, 36.379776, 40.221139, 181.126035], [32.046428, 34.722187, 37.537557, 38.145523, 55.028107], [30.217726, 31.119861, 39.886330, 40.551356, 43.845260], [19.251574, 19.499110, 20.722409, 23.240994, 24.657461], [19.628209, 21.693230, 25.246624, 28.507307, 58.423390]]
### 2
mean: [-0.940214, -2.170135, 1.998351, 0.848887, 1.307992]
std: [0.719329, 1.223667, 2.312227, 1.265398, 1.581454]
pca: [[-0.090970, 0.426296, 0.589489, 0.460458, 0.500477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103171, 0.866993, -0.332006, -0.354779, -0.039776, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.749607, 0.136436, 0.495157, -0.317562, -0.271014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405368, -0.142807, -0.306821, -0.270009, 0.805133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504823, 0.166088, -0.450505, 0.698827, -0.162029, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.034231, 12.163405, 12.438599, 17.329589, 84.619260], [19.168305, 20.165289, 20.359099, 26.534117, 195.312100], [37.716222, 41.725807, 45.154350, 47.682818, 179.851629], [20.696353, 24.322688, 25.115391, 26.404376, 76.399787], [27.922907, 28.944990, 30.379247, 33.817869, 117.719269]]
### 4
mean: [2.950990, -1.454782, 3.212977, 2.320673, 2.321157]
std: [2.953283, 2.149392, 3.722898, 2.668964, 2.393045]
pca: [[0.466757, -0.333206, -0.586519, -0.569352, 0.054267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339386, -0.521557, -0.184887, 0.284699, 0.705379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588609, -0.221483, -0.138649, 0.734653, -0.213416, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.421472, 0.629650, -0.001836, 0.041001, 0.651320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.377962, -0.414051, 0.776264, -0.231061, 0.172428, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.843903, 53.197626, 60.098509, 63.100846, 265.589131], [35.876282, 37.739935, 42.889220, 46.218918, 130.930389], [62.826709, 66.778057, 75.647893, 79.663365, 289.167932], [44.808432, 47.005041, 53.221021, 57.429118, 208.860560], [39.615735, 42.705831, 49.111844, 50.915740, 208.904157]]
### 6
mean: [4.713511, 1.393416, -0.193320, -0.069150, 6.066246]
std: [5.434073, 1.569272, 0.739215, 1.045059, 6.696783]
pca: [[0.613613, 0.092610, 0.579266, -0.374484, 0.372982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176726, -0.516814, -0.023703, 0.650368, 0.527382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081920, 0.578315, -0.472328, -0.067846, 0.656616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116836, 0.591613, 0.498380, 0.612369, -0.113863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.756231, 0.199681, -0.438649, 0.239133, -0.372349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.249055, 96.387002, 110.340029, 116.815105, 424.215963], [26.278464, 28.609450, 31.047237, 33.193393, 125.407422], [12.323661, 12.907224, 13.870286, 15.485129, 17.398811], [16.288639, 17.078273, 19.769739, 20.362336, 21.392736], [113.653292, 120.624898, 136.247781, 143.171700, 545.962146]]
### 8
mean: [-3.825675]
std: [5.057712]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.027631, 94.095645, 101.969897, 107.087415, 344.310805]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [2.012511, 0.611423, 0.080809, 0.081564, -0.649149]
std: [1.980596, 1.965225, 2.153879, 1.435485, 1.320642]
pca: [[-0.651245, 0.001125, -0.370761, 0.647550, -0.138182, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.142186, 0.773024, -0.463184, -0.036513, 0.407854, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.681303, -0.289967, -0.526706, 0.329367, -0.256601, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110991, -0.556227, -0.277681, -0.105737, 0.768118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.281374, 0.094674, 0.541729, 0.677999, 0.398387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.609832, 35.823592, 36.379776, 40.221139, 181.126035], [32.046428, 34.722187, 37.537557, 38.145523, 55.028107], [30.217726, 31.119861, 39.886330, 40.551356, 43.845260], [19.251574, 19.499110, 20.722409, 23.240994, 24.657461], [19.628209, 21.693230, 25.246624, 28.507307, 58.423390]]
### 2
mean: [-0.940214, -2.170135, 1.998351, 0.848887, 1.307992]
std: [0.719329, 1.223667, 2.312227, 1.265398, 1.581454]
pca: [[-0.090970, 0.426296, 0.589489, 0.460458, 0.500477, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.103171, 0.866993, -0.332006, -0.354779, -0.039776, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.749607, 0.136436, 0.495157, -0.317562, -0.271014, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.405368, -0.142807, -0.306821, -0.270009, 0.805133, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.504823, 0.166088, -0.450505, 0.698827, -0.162029, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.034231, 12.163405, 12.438599, 17.329589, 84.619260], [19.168305, 20.165289, 20.359099, 26.534117, 195.312100], [37.716222, 41.725807, 45.154350, 47.682818, 179.851629], [20.696353, 24.322688, 25.115391, 26.404376, 76.399787], [27.922907, 28.944990, 30.379247, 33.817869, 117.719269]]
### 4
mean: [2.950990, -1.454782, 3.212977, 2.320673, 2.321157]
std: [2.953283, 2.149392, 3.722898, 2.668964, 2.393045]
pca: [[0.466757, -0.333206, -0.586519, -0.569352, 0.054267, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.339386, -0.521557, -0.184887, 0.284699, 0.705379, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.588609, -0.221483, -0.138649, 0.734653, -0.213416, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.421472, 0.629650, -0.001836, 0.041001, 0.651320, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.377962, -0.414051, 0.776264, -0.231061, 0.172428, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.843903, 53.197626, 60.098509, 63.100846, 265.589131], [35.876282, 37.739935, 42.889220, 46.218918, 130.930389], [62.826709, 66.778057, 75.647893, 79.663365, 289.167932], [44.808432, 47.005041, 53.221021, 57.429118, 208.860560], [39.615735, 42.705831, 49.111844, 50.915740, 208.904157]]
### 6
mean: [4.713511, 1.393416, -0.193320, -0.069150, 6.066246]
std: [5.434073, 1.569272, 0.739215, 1.045059, 6.696783]
pca: [[0.613613, 0.092610, 0.579266, -0.374484, 0.372982, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.176726, -0.516814, -0.023703, 0.650368, 0.527382, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081920, 0.578315, -0.472328, -0.067846, 0.656616, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.116836, 0.591613, 0.498380, 0.612369, -0.113863, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.756231, 0.199681, -0.438649, 0.239133, -0.372349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[92.249055, 96.387002, 110.340029, 116.815105, 424.215963], [26.278464, 28.609450, 31.047237, 33.193393, 125.407422], [12.323661, 12.907224, 13.870286, 15.485129, 17.398811], [16.288639, 17.078273, 19.769739, 20.362336, 21.392736], [113.653292, 120.624898, 136.247781, 143.171700, 545.962146]]
### 8
mean: [-3.825675]
std: [5.057712]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[85.027631, 94.095645, 101.969897, 107.087415, 344.310805]]
## 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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12.438599177777022, 17.32958890915937, 84.61926031112671]}, "1": {"mean": -2.1701345443725586, "std": 1.2236665487289429, "pca": [-0.1031714677810669, 0.8669933080673218, -0.3320058286190033, -0.35477912425994873, -0.03977622091770172, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [19.168304728161402, 20.165289279622346, 20.359098810354975, 26.534116813144212, 195.31209963560104]}, "2": {"mean": 1.9983513355255127, "std": 2.3122270107269287, "pca": [0.7496068477630615, 0.13643595576286316, 0.4951574504375458, -0.31756162643432617, -0.2710137963294983, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.71622233844822, 41.7258069983381, 45.15434953973598, 47.68281815595596, 179.851628549397]}, "3": {"mean": 0.8488865494728088, "std": 1.265397548675537, "pca": [0.4053676724433899, -0.14280691742897034, -0.30682137608528137, -0.270009309053421, 0.8051328063011169, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.696352546182435, 24.322687683054436, 25.115391430067906, 26.404376091429416, 76.39978720247746]}, "4": 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101.96989655291533, 107.08741470410459, 344.3108052238822]}}, "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": [[0.560751, 0.323433, 0.059166, -0.167671, 0.611476], [-0.918293, 0.483891, -0.016636, -0.160391, 0.747776], [-0.575261, 0.267152, 0.527276, 0.214675, -0.89788], [0.464163, 0.259046, -0.059822, -0.180017, -0.493712], [-0.282996, -0.513134, 0.481678, 0.008893, -0.150743]], "network.0.bias": [0.207139, 0.328875, -0.144515, 0.15181, -0.201259], "network.2.weight": [[-0.383739, 0.324856, -0.039647, 0.342973, -0.374993], [-0.659265, 0.326214, -0.750998, 0.410432, -0.18013], [0.639, 0.834326, -0.440136, 0.80454, 0.285898], [0.520166, 0.148102, -0.248377, 0.123651, 0.20175], [0.466612, 0.416437, -0.56676, 0.156417, 0.077813]], "network.2.bias": [-0.578335, -0.742606, -0.123809, -0.198766, 0.361466], "network.4.weight": [[-0.161443, -0.52125, 0.712253, 0.63898, 0.477981], [-0.343098, 0.270046, -0.7973, -0.220839, -0.104286], [-0.128924, 0.260949, 0.947895, 0.542942, 0.724834], [0.14868, -0.151657, 0.971223, 0.333847, 0.112952], [0.3612, -0.060069, 0.537396, 0.138418, 0.738594]], "network.4.bias": [0.194954, 0.510327, -0.225484, -0.134087, 0.114922], "network.6.weight": [[0.199195, -0.172442, 0.457803, 0.818724, 0.406932], [0.24482, -0.587744, -0.018167, 0.537746, -0.248963], [0.186859, 0.483379, -0.136376, -0.651132, 0.416267], [0.34254, 0.968236, -0.337179, -0.29557, 0.039498], [0.405927, -0.665911, 0.902209, 0.339584, 0.4946]], "network.6.bias": [-0.184259, 0.129285, 0.215389, 0.509957, 0.101671], "network.8.weight": [[-0.268909, -0.083998, 0.349381, 0.885544, -0.464225]], "network.8.bias": [0.113401]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6835719347000122, "train_acc": 0.585, "val_loss": 0.6807783246040344, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6132751703262329, "train_acc": 0.585, "val_loss": 0.5553039908409119, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.55447718501091, "train_acc": 0.615, "val_loss": 0.44365227222442627, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4460778385400772, "train_acc": 0.79, "val_loss": 0.28231263160705566, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3975699245929718, "train_acc": 0.805, "val_loss": 0.3273167014122009, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.42284244298934937, "train_acc": 0.82, "val_loss": 0.3027799725532532, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.37636178731918335, "train_acc": 0.835, "val_loss": 0.28651824593544006, "val_acc": 0.86}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6807783246040344, "final_val_loss": 0.5553039908409119, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.44365227222442627, "final_val_loss": 0.28651824593544006, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 3}, "improvement": 0.44, "first_improvement_epoch": 1}}
|
9,909
|
{"target_pattern": "alternating", "degraded_accuracy": 0.5, "improved_accuracy": 0.82, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5150, "learning_rate": 0.07169689923774436, "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:
{
"network.0.weight": [
[
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],
[
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0.016703
],
[
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0.132368
],
[
-0.287065,
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],
[
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],
[
-0.591877,
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0.37516,
0.052648
],
[
0.177117,
0.082596,
-0.078014,
-0.044202,
-0.223117
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## Activation Signature
### 0
mean: [-0.350996, -1.897835, -0.519899, -0.505692, 0.259186, -1.295620, -0.442202]
std: [1.143069, 1.186516, 2.657301, 1.074609, 2.342238, 1.995409, 0.569190]
pca: [[-0.302957, -0.122954, 0.212352, -0.000319, 0.119089, 0.157910, 0.899382, 0.000000, 0.000000, 0.000000], [0.085921, 0.275657, 0.629454, -0.194801, 0.673587, -0.046255, -0.163131, 0.000000, 0.000000, 0.000000], [0.659206, 0.534354, 0.167771, -0.043113, -0.394941, 0.096884, 0.290762, 0.000000, 0.000000, 0.000000], [-0.147558, 0.266397, 0.150549, 0.914912, 0.015780, -0.217084, -0.012481, 0.000000, 0.000000, 0.000000], [-0.416411, 0.712349, -0.447132, -0.138621, 0.156671, 0.274650, -0.006328, 0.000000, 0.000000, 0.000000], [-0.514657, 0.123660, 0.535774, -0.198763, -0.592544, 0.004175, -0.205302, 0.000000, 0.000000, 0.000000], [0.078984, -0.172224, 0.144572, 0.253786, 0.014704, 0.917040, -0.193941, 0.000000, 0.000000, 0.000000]]
fourier: [[18.140860, 21.608248, 21.963334, 22.389049, 31.589598], [19.474094, 20.148323, 21.335096, 24.651011, 170.805118], [41.757445, 42.896201, 44.221732, 46.790896, 50.425425], [15.808137, 16.134521, 16.135752, 21.226534, 45.512305], [35.729169, 37.352942, 37.431684, 38.519123, 41.647460], [31.990865, 32.550976, 38.179677, 40.687126, 116.605779], [8.212985, 8.590010, 8.658117, 10.891697, 39.798141]]
### 2
mean: [-0.021740, -0.628296, -0.217472, 0.793334, -0.109700, 0.353042, 0.422268]
std: [0.711227, 0.447900, 0.945002, 0.439772, 0.829165, 1.111330, 0.446232]
pca: [[0.349364, 0.406735, 0.176677, 0.301835, 0.331479, 0.216462, 0.658375, 0.000000, 0.000000, 0.000000], [0.067717, -0.234521, 0.765815, -0.365766, 0.438778, -0.126070, -0.108338, 0.000000, 0.000000, 0.000000], [0.500916, -0.468969, -0.094946, 0.392833, 0.007962, -0.601482, 0.063044, 0.000000, 0.000000, 0.000000], [-0.208112, 0.213192, -0.346923, 0.193453, 0.774371, -0.184457, -0.346099, 0.000000, 0.000000, 0.000000], [0.400485, -0.479300, -0.303524, -0.148804, 0.248457, 0.650178, -0.105601, 0.000000, 0.000000, 0.000000], [0.608947, 0.497146, -0.159624, -0.494101, -0.082730, -0.205468, -0.251700, 0.000000, 0.000000, 0.000000], [0.218921, 0.193135, 0.367882, 0.563108, -0.171191, 0.276581, -0.597111, 0.000000, 0.000000, 0.000000]]
fourier: [[9.969388, 10.887477, 11.092031, 12.172887, 15.708014], [6.360783, 7.247041, 7.667156, 8.162477, 56.546657], [14.742517, 16.781901, 17.787204, 19.572473, 22.873913], [5.699988, 6.509135, 7.770144, 10.217861, 71.400029], [12.774449, 13.263199, 13.561993, 14.565022, 20.830786], [16.141743, 17.526937, 20.814215, 25.976631, 31.773742], [6.131141, 6.680131, 7.465940, 8.414650, 38.004127]]
### 4
mean: [0.208894, -0.087654, -0.087322, 0.345048, -0.112773, -0.115757, -0.760366]
std: [0.650121, 0.532082, 0.517106, 0.394520, 0.336713, 0.629718, 0.319188]
pca: [[0.542710, -0.032495, 0.718980, -0.158950, 0.378347, 0.079650, 0.112794, 0.000000, 0.000000, 0.000000], [0.447988, -0.013537, -0.443118, -0.277979, 0.055525, 0.628619, -0.356724, 0.000000, 0.000000, 0.000000], [-0.348320, -0.550798, 0.012198, -0.556578, 0.008318, 0.252780, 0.448777, 0.000000, 0.000000, 0.000000], [-0.036109, 0.682454, 0.165237, -0.211224, -0.470347, 0.316905, 0.373335, 0.000000, 0.000000, 0.000000], [0.275481, -0.134228, -0.265748, 0.587918, 0.101744, 0.234230, 0.651619, 0.000000, 0.000000, 0.000000], [0.532999, -0.073009, -0.292739, -0.359391, -0.308114, -0.591641, 0.225278, 0.000000, 0.000000, 0.000000], [-0.148879, 0.454193, -0.320848, -0.261262, 0.726078, -0.171071, 0.209494, 0.000000, 0.000000, 0.000000]]
fourier: [[10.217411, 11.337356, 11.497503, 12.200146, 18.800488], [7.646883, 7.888903, 8.664444, 9.133060, 10.735007], [8.091487, 8.124993, 8.423160, 9.188335, 11.476894], [6.888517, 6.960000, 7.240787, 7.565071, 31.054333], [4.897638, 5.858632, 6.391203, 6.764789, 10.149543], [9.093169, 10.418139, 10.878362, 10.998719, 12.604900], [4.988133, 5.134298, 6.168171, 6.783248, 68.432943]]
### 6
mean: [0.043265, 0.595028, 0.050908, -0.645345, -0.044370, 0.184311, -0.008712]
std: [0.353507, 0.431259, 0.462541, 0.363004, 0.272785, 0.782273, 0.532316]
pca: [[-0.278396, -0.254948, -0.110355, 0.634527, -0.156571, 0.259203, -0.592447, 0.000000, 0.000000, 0.000000], [-0.311894, 0.919289, 0.006655, 0.048034, -0.173643, 0.124072, -0.098657, 0.000000, 0.000000, 0.000000], [0.362389, 0.227493, -0.553872, 0.348648, 0.309443, -0.530742, -0.105591, 0.000000, 0.000000, 0.000000], [-0.281529, 0.040230, 0.606879, 0.343870, 0.598324, -0.253691, 0.101114, 0.000000, 0.000000, 0.000000], [0.216806, 0.027622, 0.057627, 0.594406, -0.348244, 0.153598, 0.671361, 0.000000, 0.000000, 0.000000], [0.624635, 0.177020, 0.172338, 0.035696, 0.376795, 0.605133, -0.198394, 0.000000, 0.000000, 0.000000], [0.421260, 0.066627, 0.528848, 0.025938, -0.477848, -0.426140, -0.357511, 0.000000, 0.000000, 0.000000]]
fourier: [[4.952544, 5.272228, 5.740379, 6.105949, 6.319368], [6.480857, 6.993538, 8.298755, 8.875657, 53.552511], [6.653929, 6.886443, 7.048780, 8.325993, 8.707452], [5.099319, 5.785325, 6.790586, 7.160936, 58.081037], [3.993321, 4.163073, 4.623350, 4.912379, 5.224275], [11.568235, 13.470723, 13.718172, 14.829012, 16.587948], [7.366026, 7.736849, 9.748208, 9.998276, 10.120107]]
### 8
mean: [-0.440153, 0.054338, 0.271170, -0.397551, -0.402510, 0.286730, -0.495076]
std: [0.513760, 0.711063, 0.500997, 0.068982, 0.250136, 0.917730, 0.186701]
pca: [[-0.368837, 0.125226, 0.795487, 0.308624, 0.256860, 0.227410, 0.050372, 0.000000, 0.000000, 0.000000], [0.511550, -0.023019, 0.018819, 0.162509, 0.780641, -0.305811, -0.090014, 0.000000, 0.000000, 0.000000], [-0.353094, -0.564279, -0.154645, -0.020761, 0.251196, -0.125746, 0.673540, 0.000000, 0.000000, 0.000000], [-0.018110, 0.354312, -0.093954, 0.651004, -0.282754, -0.524912, 0.293291, 0.000000, 0.000000, 0.000000], [-0.179359, -0.049118, -0.505556, 0.571091, 0.200561, 0.548651, -0.206019, 0.000000, 0.000000, 0.000000], [0.660098, -0.111379, 0.175156, 0.161634, -0.237602, 0.463471, 0.473075, 0.000000, 0.000000, 0.000000], [-0.096817, 0.724584, -0.218718, -0.319116, 0.291366, 0.218165, 0.428300, 0.000000, 0.000000, 0.000000]]
fourier: [[7.644120, 8.908408, 9.010167, 9.095416, 39.613749], [10.107820, 11.264978, 11.875700, 12.732404, 13.076358], [8.138922, 8.179231, 9.478944, 10.120457, 24.405298], [1.045524, 1.136326, 1.286425, 1.402750, 35.779564], [3.874276, 4.179164, 4.643371, 4.771318, 36.225906], [14.436850, 15.295134, 16.258054, 16.828025, 25.805671], [2.727495, 2.770775, 3.008179, 3.614027, 44.556851]]
### 10
mean: [0.143930]
std: [0.559670]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.685247, 9.437352, 10.008407, 10.436625, 12.953658]]
## 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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0.233741,
0.405367
],
[
0.069281,
0.588759,
-0.249427,
0.111629,
-0.068234,
-0.20032,
-0.171996
],
[
0.096703,
-0.230221,
0.181122,
0.243475,
-0.139224,
0.040342,
-0.366061
],
[
0.229354,
0.125645,
0.156567,
-0.220382,
-0.360619,
-0.107868,
-0.268976
],
[
-0.191623,
-0.304616,
0.566869,
-0.103394,
0.152445,
0.563796,
0.408664
],
[
0.147687,
-0.450948,
-0.151101,
-0.285561,
-0.084496,
-0.282655,
0.064002
]
],
"network.8.bias": [
-0.241135,
-0.008948,
0.042267,
-0.232074,
-0.424514,
0.126979,
-0.119279
],
"network.10.weight": [
[
-0.046081,
-0.201135,
0.362215,
-0.129143,
0.032507,
-0.427997,
0.139471
]
],
"network.10.bias": [
0.224162
]
}
## Activation Signature
### 0
mean: [-0.350996, -1.897835, -0.519899, -0.505692, 0.259186, -1.295620, -0.442202]
std: [1.143069, 1.186516, 2.657301, 1.074609, 2.342238, 1.995409, 0.569190]
pca: [[-0.302957, -0.122954, 0.212352, -0.000319, 0.119089, 0.157910, 0.899382, 0.000000, 0.000000, 0.000000], [0.085921, 0.275657, 0.629454, -0.194801, 0.673587, -0.046255, -0.163131, 0.000000, 0.000000, 0.000000], [0.659206, 0.534354, 0.167771, -0.043113, -0.394941, 0.096884, 0.290762, 0.000000, 0.000000, 0.000000], [-0.147558, 0.266397, 0.150549, 0.914912, 0.015780, -0.217084, -0.012481, 0.000000, 0.000000, 0.000000], [-0.416411, 0.712349, -0.447132, -0.138621, 0.156671, 0.274650, -0.006328, 0.000000, 0.000000, 0.000000], [-0.514657, 0.123660, 0.535774, -0.198763, -0.592544, 0.004175, -0.205302, 0.000000, 0.000000, 0.000000], [0.078984, -0.172224, 0.144572, 0.253786, 0.014704, 0.917040, -0.193941, 0.000000, 0.000000, 0.000000]]
fourier: [[18.140860, 21.608248, 21.963334, 22.389049, 31.589598], [19.474094, 20.148323, 21.335096, 24.651011, 170.805118], [41.757445, 42.896201, 44.221732, 46.790896, 50.425425], [15.808137, 16.134521, 16.135752, 21.226534, 45.512305], [35.729169, 37.352942, 37.431684, 38.519123, 41.647460], [31.990865, 32.550976, 38.179677, 40.687126, 116.605779], [8.212985, 8.590010, 8.658117, 10.891697, 39.798141]]
### 2
mean: [-0.021740, -0.628296, -0.217472, 0.793334, -0.109700, 0.353042, 0.422268]
std: [0.711227, 0.447900, 0.945002, 0.439772, 0.829165, 1.111330, 0.446232]
pca: [[0.349364, 0.406735, 0.176677, 0.301835, 0.331479, 0.216462, 0.658375, 0.000000, 0.000000, 0.000000], [0.067717, -0.234521, 0.765815, -0.365766, 0.438778, -0.126070, -0.108338, 0.000000, 0.000000, 0.000000], [0.500916, -0.468969, -0.094946, 0.392833, 0.007962, -0.601482, 0.063044, 0.000000, 0.000000, 0.000000], [-0.208112, 0.213192, -0.346923, 0.193453, 0.774371, -0.184457, -0.346099, 0.000000, 0.000000, 0.000000], [0.400485, -0.479300, -0.303524, -0.148804, 0.248457, 0.650178, -0.105601, 0.000000, 0.000000, 0.000000], [0.608947, 0.497146, -0.159624, -0.494101, -0.082730, -0.205468, -0.251700, 0.000000, 0.000000, 0.000000], [0.218921, 0.193135, 0.367882, 0.563108, -0.171191, 0.276581, -0.597111, 0.000000, 0.000000, 0.000000]]
fourier: [[9.969388, 10.887477, 11.092031, 12.172887, 15.708014], [6.360783, 7.247041, 7.667156, 8.162477, 56.546657], [14.742517, 16.781901, 17.787204, 19.572473, 22.873913], [5.699988, 6.509135, 7.770144, 10.217861, 71.400029], [12.774449, 13.263199, 13.561993, 14.565022, 20.830786], [16.141743, 17.526937, 20.814215, 25.976631, 31.773742], [6.131141, 6.680131, 7.465940, 8.414650, 38.004127]]
### 4
mean: [0.208894, -0.087654, -0.087322, 0.345048, -0.112773, -0.115757, -0.760366]
std: [0.650121, 0.532082, 0.517106, 0.394520, 0.336713, 0.629718, 0.319188]
pca: [[0.542710, -0.032495, 0.718980, -0.158950, 0.378347, 0.079650, 0.112794, 0.000000, 0.000000, 0.000000], [0.447988, -0.013537, -0.443118, -0.277979, 0.055525, 0.628619, -0.356724, 0.000000, 0.000000, 0.000000], [-0.348320, -0.550798, 0.012198, -0.556578, 0.008318, 0.252780, 0.448777, 0.000000, 0.000000, 0.000000], [-0.036109, 0.682454, 0.165237, -0.211224, -0.470347, 0.316905, 0.373335, 0.000000, 0.000000, 0.000000], [0.275481, -0.134228, -0.265748, 0.587918, 0.101744, 0.234230, 0.651619, 0.000000, 0.000000, 0.000000], [0.532999, -0.073009, -0.292739, -0.359391, -0.308114, -0.591641, 0.225278, 0.000000, 0.000000, 0.000000], [-0.148879, 0.454193, -0.320848, -0.261262, 0.726078, -0.171071, 0.209494, 0.000000, 0.000000, 0.000000]]
fourier: [[10.217411, 11.337356, 11.497503, 12.200146, 18.800488], [7.646883, 7.888903, 8.664444, 9.133060, 10.735007], [8.091487, 8.124993, 8.423160, 9.188335, 11.476894], [6.888517, 6.960000, 7.240787, 7.565071, 31.054333], [4.897638, 5.858632, 6.391203, 6.764789, 10.149543], [9.093169, 10.418139, 10.878362, 10.998719, 12.604900], [4.988133, 5.134298, 6.168171, 6.783248, 68.432943]]
### 6
mean: [0.043265, 0.595028, 0.050908, -0.645345, -0.044370, 0.184311, -0.008712]
std: [0.353507, 0.431259, 0.462541, 0.363004, 0.272785, 0.782273, 0.532316]
pca: [[-0.278396, -0.254948, -0.110355, 0.634527, -0.156571, 0.259203, -0.592447, 0.000000, 0.000000, 0.000000], [-0.311894, 0.919289, 0.006655, 0.048034, -0.173643, 0.124072, -0.098657, 0.000000, 0.000000, 0.000000], [0.362389, 0.227493, -0.553872, 0.348648, 0.309443, -0.530742, -0.105591, 0.000000, 0.000000, 0.000000], [-0.281529, 0.040230, 0.606879, 0.343870, 0.598324, -0.253691, 0.101114, 0.000000, 0.000000, 0.000000], [0.216806, 0.027622, 0.057627, 0.594406, -0.348244, 0.153598, 0.671361, 0.000000, 0.000000, 0.000000], [0.624635, 0.177020, 0.172338, 0.035696, 0.376795, 0.605133, -0.198394, 0.000000, 0.000000, 0.000000], [0.421260, 0.066627, 0.528848, 0.025938, -0.477848, -0.426140, -0.357511, 0.000000, 0.000000, 0.000000]]
fourier: [[4.952544, 5.272228, 5.740379, 6.105949, 6.319368], [6.480857, 6.993538, 8.298755, 8.875657, 53.552511], [6.653929, 6.886443, 7.048780, 8.325993, 8.707452], [5.099319, 5.785325, 6.790586, 7.160936, 58.081037], [3.993321, 4.163073, 4.623350, 4.912379, 5.224275], [11.568235, 13.470723, 13.718172, 14.829012, 16.587948], [7.366026, 7.736849, 9.748208, 9.998276, 10.120107]]
### 8
mean: [-0.440153, 0.054338, 0.271170, -0.397551, -0.402510, 0.286730, -0.495076]
std: [0.513760, 0.711063, 0.500997, 0.068982, 0.250136, 0.917730, 0.186701]
pca: [[-0.368837, 0.125226, 0.795487, 0.308624, 0.256860, 0.227410, 0.050372, 0.000000, 0.000000, 0.000000], [0.511550, -0.023019, 0.018819, 0.162509, 0.780641, -0.305811, -0.090014, 0.000000, 0.000000, 0.000000], [-0.353094, -0.564279, -0.154645, -0.020761, 0.251196, -0.125746, 0.673540, 0.000000, 0.000000, 0.000000], [-0.018110, 0.354312, -0.093954, 0.651004, -0.282754, -0.524912, 0.293291, 0.000000, 0.000000, 0.000000], [-0.179359, -0.049118, -0.505556, 0.571091, 0.200561, 0.548651, -0.206019, 0.000000, 0.000000, 0.000000], [0.660098, -0.111379, 0.175156, 0.161634, -0.237602, 0.463471, 0.473075, 0.000000, 0.000000, 0.000000], [-0.096817, 0.724584, -0.218718, -0.319116, 0.291366, 0.218165, 0.428300, 0.000000, 0.000000, 0.000000]]
fourier: [[7.644120, 8.908408, 9.010167, 9.095416, 39.613749], [10.107820, 11.264978, 11.875700, 12.732404, 13.076358], [8.138922, 8.179231, 9.478944, 10.120457, 24.405298], [1.045524, 1.136326, 1.286425, 1.402750, 35.779564], [3.874276, 4.179164, 4.643371, 4.771318, 36.225906], [14.436850, 15.295134, 16.258054, 16.828025, 25.805671], [2.727495, 2.770775, 3.008179, 3.614027, 44.556851]]
### 10
mean: [0.143930]
std: [0.559670]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.685247, 9.437352, 10.008407, 10.436625, 12.953658]]
## 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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[8.685247007786371, 9.43735153520263, 10.008406726590232, 10.436625194249343, 12.953657880425453]}}, "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": [[-0.337579, 0.122267, -0.28115, 0.236299, -0.075003], [-0.052454, -0.28875, -0.124319, -0.391796, 0.016703], [0.683843, -0.674237, 0.449674, -0.701417, 0.132368], [-0.287065, -0.393442, 0.24754, 0.163387, -0.225036], [-0.865249, -0.464359, 0.445083, 0.316611, 0.565546], [-0.591877, -0.229622, -0.451083, 0.37516, 0.052648], [0.177117, 0.082596, -0.078014, -0.044202, -0.223117]], "network.0.bias": [0.019369, -0.227118, 0.259282, -0.021428, -0.124085, -0.067818, -0.280192], "network.2.weight": [[-0.178293, 0.271414, -0.307709, 0.312802, 0.371818, 0.110781, 0.098436], [-0.110152, -0.368987, -0.236821, 0.101182, -0.130912, -0.600236, 0.019339], [0.432295, 0.035672, -0.534376, 0.152083, -0.27286, 0.441434, -0.159664], [-0.277241, -0.231193, 0.294876, 0.0039, 0.049581, 0.333097, -0.426417], [0.30452, -0.054181, -0.410724, -0.182244, -0.293683, 0.618295, -0.356438], [0.197903, -0.080819, -0.472982, 0.007803, 0.55937, 0.213919, -0.173867], [-0.107536, -0.096327, -0.251635, 0.369275, 0.19232, -0.114935, 0.471655]], "network.2.bias": [-0.209622, -0.192414, 0.245467, 0.561356, 0.360162, 0.060795, 0.359454], "network.4.weight": [[0.316257, -0.129002, -0.336373, -0.063841, -0.52287, 0.469638, 0.288284], [0.404494, 0.465818, -0.426142, -0.471621, -0.613428, 0.279965, 0.05174], [-0.186967, -0.030757, 0.582334, -0.140272, 0.655958, -0.076258, -0.244435], [0.328728, -0.290706, -0.185978, 0.45257, -0.329771, -0.348835, -0.170867], [-0.067523, -0.24518, -0.169749, -0.306142, -0.340829, 0.290638, 0.279709], [0.498611, -0.008649, -0.612299, -0.484829, -0.460038, 0.322608, 0.172789], [0.007055, 0.142623, -0.27432, 0.198884, -0.025495, -0.24209, -0.294733]], "network.4.bias": [-0.033964, 0.234123, -0.051125, 0.308178, -0.036531, 0.112298, -0.575952], "network.6.weight": [[-0.059124, -0.062535, -0.03832, 0.134219, -0.377041, -0.535324, -0.005187], [0.02297, -0.664187, 0.771425, 0.442897, 0.079592, -0.18316, -0.13166], [0.437946, 0.247412, 0.04827, 0.184132, 0.286561, 0.281798, 0.042948], [-0.064747, -0.418664, 0.109536, -0.127284, -0.448373, -0.264234, -0.098702], [0.395355, 0.163846, -0.062343, -0.083048, 0.158804, -0.103631, 0.013041], [0.54879, 0.492401, -0.151853, -0.313011, 0.378351, 0.505065, -0.074038], [0.381824, 0.127888, -0.165519, -0.417377, 0.481118, 0.305776, 0.244651]], "network.6.bias": [0.162115, 0.436282, -0.289854, -0.434919, -0.155055, -0.062908, -0.072306], "network.8.weight": [[-0.327698, 0.138769, -0.158567, -0.18437, 0.167937, -0.46444, -0.346651], [-0.18004, -0.301074, 0.544311, -0.15693, 0.330103, 0.233741, 0.405367], [0.069281, 0.588759, -0.249427, 0.111629, -0.068234, -0.20032, -0.171996], [0.096703, -0.230221, 0.181122, 0.243475, -0.139224, 0.040342, -0.366061], [0.229354, 0.125645, 0.156567, -0.220382, -0.360619, -0.107868, -0.268976], [-0.191623, -0.304616, 0.566869, -0.103394, 0.152445, 0.563796, 0.408664], [0.147687, -0.450948, -0.151101, -0.285561, -0.084496, -0.282655, 0.064002]], "network.8.bias": [-0.241135, -0.008948, 0.042267, -0.232074, -0.424514, 0.126979, -0.119279], "network.10.weight": [[-0.046081, -0.201135, 0.362215, -0.129143, 0.032507, -0.427997, 0.139471]], "network.10.bias": [0.224162]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6520704030990601, "train_acc": 0.58, "val_loss": 0.5879086852073669, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.551167368888855, "train_acc": 0.58, "val_loss": 0.4470025599002838, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.47029547393322, "train_acc": 0.5, "val_loss": 0.4387296438217163, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46992895007133484, "train_acc": 0.755, "val_loss": 0.4732782244682312, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5469809770584106, "train_acc": 0.74, "val_loss": 0.5702794194221497, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5936966240406036, "train_acc": 0.645, "val_loss": 0.6122879981994629, "val_acc": 0.66}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.5879086852073669, "final_val_loss": 0.4470025599002838, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4387296438217163, "final_val_loss": 0.6122879981994629, "initial_val_acc": 0.72, "final_val_acc": 0.66, "best_val_acc": 0.82, "best_epoch": 3}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
9,910
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2026, "learning_rate": 0.07401634368092008, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.056536,
-0.843776
]
],
"network.8.bias": [
0.457333
]
}
## Activation Signature
### 0
mean: [-2.130511, -0.280352, 1.213722, -1.337809, 1.235019]
std: [2.100232, 1.857070, 2.581668, 1.844261, 2.347751]
pca: [[-0.321779, -0.531408, 0.662758, 0.357461, 0.216879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078560, 0.580147, -0.068026, 0.770455, 0.242961, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.712445, -0.036692, 0.331444, 0.299757, -0.539783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176057, -0.524653, -0.625934, 0.429807, -0.342369, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593054, -0.323154, -0.233399, 0.063503, 0.696672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.524447, 32.895636, 36.514358, 39.254627, 191.746008], [25.231656, 27.315194, 28.911554, 31.284966, 34.970691], [46.115615, 46.346046, 46.381305, 60.606185, 109.234937], [29.631232, 30.426682, 35.814885, 38.382159, 120.402826], [37.265523, 37.526785, 48.016276, 54.395714, 111.151734]]
### 2
mean: [-0.433724, -0.162589, -0.270278, 3.560401, -2.343028]
std: [1.390244, 0.537830, 0.838362, 4.939824, 2.926206]
pca: [[-0.220546, 0.556821, 0.600791, 0.167984, 0.502136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081852, 0.206441, -0.319597, 0.902515, -0.184412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095188, 0.756448, -0.490756, -0.388832, -0.163381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.832899, 0.104590, -0.221796, 0.073334, 0.490682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491811, -0.253338, -0.496863, -0.026085, 0.668124, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.650617, 24.850326, 28.206277, 31.825488, 39.035182], [8.876451, 9.685878, 10.885312, 12.421674, 14.632994], [13.067299, 13.654307, 15.439832, 17.570432, 24.325019], [88.047688, 90.721031, 106.010621, 106.313261, 320.436144], [50.469339, 53.389581, 61.018138, 64.645842, 210.872503]]
### 4
mean: [-2.676457, 4.254268, -0.557618, 0.264928, -3.082068]
std: [3.030579, 6.223372, 0.104647, 1.657706, 3.467865]
pca: [[-0.382576, 0.676898, 0.507811, -0.352303, 0.115996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786114, 0.290868, 0.040613, -0.058232, 0.540723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.004372, 0.634404, -0.333823, 0.649836, -0.252562, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.209184, -0.180377, 0.793106, 0.499370, -0.212879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438045, -0.148999, 0.004785, 0.448145, 0.764891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.952460, 56.434363, 63.911613, 64.771966, 240.881161], [112.380584, 113.627381, 133.143817, 133.900957, 382.884113], [1.450910, 1.518374, 1.813702, 2.448416, 50.185585], [27.148241, 29.445467, 31.194387, 35.506605, 35.552532], [62.518813, 63.299227, 74.205851, 74.654400, 277.386154]]
### 6
mean: [-0.778823, -0.238832, 0.230338, 0.773481, 4.648407]
std: [2.204026, 0.672985, 0.874829, 0.360439, 7.346967]
pca: [[-0.283298, 0.926223, 0.205411, -0.123144, -0.067049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086747, -0.063282, 0.531694, 0.780164, -0.311634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112768, -0.096426, 0.525648, -0.044467, 0.836482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046091, -0.235119, 0.615160, -0.608874, -0.439825, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.947299, 0.271161, 0.142762, 0.058945, 0.072387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.443174, 40.706386, 44.032969, 48.268532, 70.094107], [12.252784, 12.515091, 14.236802, 14.367367, 21.494916], [15.965357, 16.156371, 18.536884, 18.691175, 20.730424], [6.155441, 6.747372, 7.104208, 7.913209, 69.613269], [132.841879, 135.988457, 155.272606, 157.429793, 418.356662]]
### 8
mean: [-3.374731]
std: [6.245655]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[113.763546, 116.138555, 130.956481, 133.627848, 303.725780]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.927427,
-0.145065,
0.037658,
-0.415724,
0.295635
],
[
0.572894,
0.134672,
-0.166786,
-0.001199,
-0.848836
],
[
0.908735,
-0.210731,
-0.020734,
-0.151188,
0.859242
],
[
-0.734428,
0.185993,
-0.418196,
-0.076418,
0.574636
],
[
0.382532,
0.048508,
-0.141633,
-0.095471,
1.170509
]
],
"network.0.bias": [
-0.263822,
0.159177,
-0.225356,
-0.434056,
-0.272454
],
"network.2.weight": [
[
1.133984,
-0.828982,
0.012217,
0.00213,
-0.562309
],
[
-0.538639,
-0.391449,
0.205753,
0.086076,
-0.407218
],
[
0.582546,
-0.676001,
-0.000537,
-0.744751,
-0.097718
],
[
-0.362858,
0.593241,
0.992722,
0.20169,
1.218138
],
[
0.066324,
-0.137019,
-0.59412,
-0.254642,
-0.715825
]
],
"network.2.bias": [
0.754856,
0.244378,
0.286695,
0.005945,
-0.319576
],
"network.4.weight": [
[
-0.668363,
0.771549,
0.553123,
-0.612771,
-0.362001
],
[
-0.290624,
-0.642294,
-0.523189,
1.229086,
0.328788
],
[
-0.207543,
-0.179561,
-0.429465,
-0.016834,
0.362023
],
[
-0.192277,
-0.286224,
0.736156,
0.335229,
0.363114
],
[
0.144817,
0.366079,
0.298388,
-0.688214,
0.283752
]
],
"network.4.bias": [
-0.394362,
-0.043172,
-0.399688,
-0.924774,
-0.649756
],
"network.6.weight": [
[
-0.244835,
-0.143385,
-0.287834,
-0.937511,
-1.195909
],
[
-0.463682,
-0.070803,
-0.535889,
-0.133149,
-0.623163
],
[
-0.83431,
-0.113635,
-0.449065,
-0.091848,
-0.148708
],
[
-0.888675,
0.053797,
-1.004141,
0.056196,
0.180746
],
[
1.106808,
1.151681,
0.094871,
0.165978,
0.503481
]
],
"network.6.bias": [
0.323314,
-0.010557,
0.639319,
0.279082,
-0.388135
],
"network.8.weight": [
[
0.573763,
-0.096323,
0.432954,
0.056536,
-0.843776
]
],
"network.8.bias": [
0.457333
]
}
## Activation Signature
### 0
mean: [-2.130511, -0.280352, 1.213722, -1.337809, 1.235019]
std: [2.100232, 1.857070, 2.581668, 1.844261, 2.347751]
pca: [[-0.321779, -0.531408, 0.662758, 0.357461, 0.216879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.078560, 0.580147, -0.068026, 0.770455, 0.242961, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.712445, -0.036692, 0.331444, 0.299757, -0.539783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176057, -0.524653, -0.625934, 0.429807, -0.342369, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.593054, -0.323154, -0.233399, 0.063503, 0.696672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.524447, 32.895636, 36.514358, 39.254627, 191.746008], [25.231656, 27.315194, 28.911554, 31.284966, 34.970691], [46.115615, 46.346046, 46.381305, 60.606185, 109.234937], [29.631232, 30.426682, 35.814885, 38.382159, 120.402826], [37.265523, 37.526785, 48.016276, 54.395714, 111.151734]]
### 2
mean: [-0.433724, -0.162589, -0.270278, 3.560401, -2.343028]
std: [1.390244, 0.537830, 0.838362, 4.939824, 2.926206]
pca: [[-0.220546, 0.556821, 0.600791, 0.167984, 0.502136, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.081852, 0.206441, -0.319597, 0.902515, -0.184412, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.095188, 0.756448, -0.490756, -0.388832, -0.163381, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.832899, 0.104590, -0.221796, 0.073334, 0.490682, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491811, -0.253338, -0.496863, -0.026085, 0.668124, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.650617, 24.850326, 28.206277, 31.825488, 39.035182], [8.876451, 9.685878, 10.885312, 12.421674, 14.632994], [13.067299, 13.654307, 15.439832, 17.570432, 24.325019], [88.047688, 90.721031, 106.010621, 106.313261, 320.436144], [50.469339, 53.389581, 61.018138, 64.645842, 210.872503]]
### 4
mean: [-2.676457, 4.254268, -0.557618, 0.264928, -3.082068]
std: [3.030579, 6.223372, 0.104647, 1.657706, 3.467865]
pca: [[-0.382576, 0.676898, 0.507811, -0.352303, 0.115996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786114, 0.290868, 0.040613, -0.058232, 0.540723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.004372, 0.634404, -0.333823, 0.649836, -0.252562, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.209184, -0.180377, 0.793106, 0.499370, -0.212879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438045, -0.148999, 0.004785, 0.448145, 0.764891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.952460, 56.434363, 63.911613, 64.771966, 240.881161], [112.380584, 113.627381, 133.143817, 133.900957, 382.884113], [1.450910, 1.518374, 1.813702, 2.448416, 50.185585], [27.148241, 29.445467, 31.194387, 35.506605, 35.552532], [62.518813, 63.299227, 74.205851, 74.654400, 277.386154]]
### 6
mean: [-0.778823, -0.238832, 0.230338, 0.773481, 4.648407]
std: [2.204026, 0.672985, 0.874829, 0.360439, 7.346967]
pca: [[-0.283298, 0.926223, 0.205411, -0.123144, -0.067049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.086747, -0.063282, 0.531694, 0.780164, -0.311634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112768, -0.096426, 0.525648, -0.044467, 0.836482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.046091, -0.235119, 0.615160, -0.608874, -0.439825, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.947299, 0.271161, 0.142762, 0.058945, 0.072387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.443174, 40.706386, 44.032969, 48.268532, 70.094107], [12.252784, 12.515091, 14.236802, 14.367367, 21.494916], [15.965357, 16.156371, 18.536884, 18.691175, 20.730424], [6.155441, 6.747372, 7.104208, 7.913209, 69.613269], [132.841879, 135.988457, 155.272606, 157.429793, 418.356662]]
### 8
mean: [-3.374731]
std: [6.245655]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[113.763546, 116.138555, 130.956481, 133.627848, 303.725780]]
## 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": -2.1305110454559326, "std": 2.100231885910034, "pca": [-0.3217794597148895, -0.5314080119132996, 0.6627584099769592, 0.357461154460907, 0.21687868237495422, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.5244474722506, 32.89563598844921, 36.5143580971474, 39.254627140546596, 191.74600812792778]}, "1": {"mean": -0.2803517282009125, "std": 1.8570702075958252, "pca": [-0.07856006175279617, 0.5801469087600708, -0.06802620738744736, 0.7704547047615051, 0.24296070635318756, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.23165601491928, 27.315193712133844, 28.911554307304254, 31.28496580236682, 34.970691252621364]}, "2": {"mean": 1.213721513748169, "std": 2.5816683769226074, "pca": [0.7124448418617249, -0.036691974848508835, 0.3314444422721863, 0.2997574210166931, -0.5397833585739136, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [46.11561475693811, 46.34604630180262, 46.381304796026676, 60.60618508931873, 109.23493725061417]}, "3": {"mean": -1.3378092050552368, "std": 1.8442609310150146, "pca": [-0.1760571002960205, -0.5246526002883911, -0.6259338855743408, 0.4298069179058075, -0.3423686921596527, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.631232459122327, 30.426682306413927, 35.81488455686799, 38.38215871566768, 120.40282614529133]}, "4": {"mean": 1.2350192070007324, "std": 2.3477511405944824, "pca": [0.5930535793304443, -0.32315394282341003, -0.23339898884296417, 0.06350277364253998, 0.6966716051101685, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.26552263325338, 37.52678500887996, 48.01627605961858, 54.39571380167417, 111.15173414349556]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.4337242543697357, "std": 1.3902440071105957, "pca": [-0.22054621577262878, 0.5568207502365112, 0.600791335105896, 0.1679844707250595, 0.5021364092826843, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.65061697915323, 24.85032644659182, 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"4": {"mean": -2.3430280685424805, "std": 2.926206350326538, "pca": [-0.49181094765663147, -0.2533375322818756, -0.4968625605106354, -0.026085296645760536, 0.6681236624717712, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [50.46933906978576, 53.3895811349982, 61.018137599021905, 64.64584160988196, 210.87250323593616]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": -2.676457166671753, "std": 3.03057861328125, "pca": [-0.38257622718811035, 0.6768980622291565, 0.5078112483024597, -0.3523027300834656, 0.11599573493003845, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [54.95245989847998, 56.43436316191552, 63.911613172698026, 64.77196636625344, 240.88116052746773]}, "1": {"mean": 4.254268169403076, "std": 6.223371505737305, "pca": [0.7861135005950928, 0.2908676266670227, 0.04061340168118477, -0.05823158100247383, 0.5407228469848633, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [112.38058396201188, 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[15.965356866530374, 16.156371450452234, 18.536884378097927, 18.69117503404231, 20.730424225330353]}, "3": {"mean": 0.7734807133674622, "std": 0.36043938994407654, "pca": [0.04609057307243347, -0.2351188361644745, 0.6151595711708069, -0.6088742017745972, -0.4398246705532074, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.155440975423727, 6.747371724600168, 7.104207680972558, 7.913209379937893, 69.61326861381531]}, "4": {"mean": 4.648407459259033, "std": 7.3469672203063965, "pca": [0.9472994804382324, 0.27116096019744873, 0.1427619606256485, 0.05894549563527107, 0.07238684594631195, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [132.84187863789393, 135.98845678037515, 155.27260610164055, 157.4297928943721, 418.3566617965698]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.3747308254241943, "std": 6.245654582977295, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [113.76354628472589, 116.13855476973157, 130.95648142576903, 133.62784825672367, 303.7257803082466]}}, "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": [[-0.927427, -0.145065, 0.037658, -0.415724, 0.295635], [0.572894, 0.134672, -0.166786, -0.001199, -0.848836], [0.908735, -0.210731, -0.020734, -0.151188, 0.859242], [-0.734428, 0.185993, -0.418196, -0.076418, 0.574636], [0.382532, 0.048508, -0.141633, -0.095471, 1.170509]], "network.0.bias": [-0.263822, 0.159177, -0.225356, -0.434056, -0.272454], "network.2.weight": [[1.133984, -0.828982, 0.012217, 0.00213, -0.562309], [-0.538639, -0.391449, 0.205753, 0.086076, -0.407218], [0.582546, -0.676001, -0.000537, -0.744751, -0.097718], [-0.362858, 0.593241, 0.992722, 0.20169, 1.218138], [0.066324, -0.137019, -0.59412, -0.254642, -0.715825]], "network.2.bias": [0.754856, 0.244378, 0.286695, 0.005945, -0.319576], "network.4.weight": [[-0.668363, 0.771549, 0.553123, -0.612771, -0.362001], [-0.290624, -0.642294, -0.523189, 1.229086, 0.328788], [-0.207543, -0.179561, -0.429465, -0.016834, 0.362023], [-0.192277, -0.286224, 0.736156, 0.335229, 0.363114], [0.144817, 0.366079, 0.298388, -0.688214, 0.283752]], "network.4.bias": [-0.394362, -0.043172, -0.399688, -0.924774, -0.649756], "network.6.weight": [[-0.244835, -0.143385, -0.287834, -0.937511, -1.195909], [-0.463682, -0.070803, -0.535889, -0.133149, -0.623163], [-0.83431, -0.113635, -0.449065, -0.091848, -0.148708], [-0.888675, 0.053797, -1.004141, 0.056196, 0.180746], [1.106808, 1.151681, 0.094871, 0.165978, 0.503481]], "network.6.bias": [0.323314, -0.010557, 0.639319, 0.279082, -0.388135], "network.8.weight": [[0.573763, -0.096323, 0.432954, 0.056536, -0.843776]], "network.8.bias": [0.457333]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7064057886600494, "train_acc": 0.46, "val_loss": 0.6878809332847595, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6914458870887756, "train_acc": 0.54, "val_loss": 0.6695374846458435, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6799193620681763, "train_acc": 0.54, "val_loss": 0.6210018396377563, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.644175797700882, "train_acc": 0.485, "val_loss": 0.5091505646705627, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5372079610824585, "train_acc": 0.68, "val_loss": 0.42175307869911194, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4744521230459213, "train_acc": 0.81, "val_loss": 0.3766757845878601, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4199044704437256, "train_acc": 0.81, "val_loss": 0.3487946391105652, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4337136000394821, "train_acc": 0.8, "val_loss": 0.38382527232170105, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4215090870857239, "train_acc": 0.815, "val_loss": 0.3781481087207794, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4020802527666092, "train_acc": 0.82, "val_loss": 0.368674635887146, "val_acc": 0.82}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6878809332847595, "final_val_loss": 0.6210018396377563, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5091505646705627, "final_val_loss": 0.368674635887146, "initial_val_acc": 0.68, "final_val_acc": 0.82, "best_val_acc": 0.86, "best_epoch": 6}, "improvement": 0.29999999999999993, "first_improvement_epoch": 2}}
|
9,911
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.46, "improved_accuracy": 0.82, "improvement": 0.35999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6611, "learning_rate": 0.05170624311054768, "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:
{
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0.317902,
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[
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[
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0.05848,
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[
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],
[
-0.296975,
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0.021226,
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],
[
0.009288,
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],
"network.0.bias": [
0.297232,
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"network.2.weight": [
[
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[
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0.229284
],
[
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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.8.weight": [
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"network.8.bias": [
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"network.10.weight": [
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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: [-0.184958, 0.160588, 1.344765, 0.902782, 0.173572, -2.816857]
std: [1.149052, 1.013837, 1.407310, 1.438089, 1.023653, 1.835913]
pca: [[0.422273, 0.219055, -0.280792, 0.557553, 0.455696, 0.419920, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380043, -0.162223, -0.234668, -0.531157, 0.598895, 0.365210, 0.000000, 0.000000, 0.000000, 0.000000], [0.527182, -0.317164, -0.071722, -0.364851, -0.434134, 0.542913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479614, -0.356886, -0.570252, 0.398195, -0.366633, 0.156319, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361888, -0.014956, 0.694742, 0.264445, -0.067379, 0.558279, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195803, 0.835173, -0.230409, -0.213073, -0.325936, 0.243770, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.441765, 16.646212, 17.072654, 19.286426, 21.792896], [14.452895, 15.260442, 16.537306, 17.146971, 17.354056], [20.858566, 22.795979, 28.453191, 32.036237, 121.028843], [20.665354, 22.194968, 23.382764, 27.148598, 81.250370], [15.419179, 15.621506, 17.015592, 20.471694, 21.487484], [30.962317, 31.424528, 31.573315, 33.844507, 253.517091]]
### 2
mean: [0.501544, -0.220795, 0.315693, 1.249621, -0.539147, 0.537408]
std: [1.472142, 0.314500, 0.810525, 1.040818, 0.264923, 1.097889]
pca: [[0.657702, 0.543515, -0.497493, 0.010704, -0.128709, -0.088542, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129935, 0.061640, -0.373394, 0.179680, 0.846006, 0.303121, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349614, 0.415372, -0.040866, 0.060666, -0.381625, 0.744478, 0.000000, 0.000000, 0.000000, 0.000000], [0.466723, 0.210586, 0.745300, 0.248313, 0.243908, 0.247389, 0.000000, 0.000000, 0.000000, 0.000000], [0.020508, -0.250825, -0.159144, 0.925815, -0.227156, -0.051046, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458328, 0.648844, 0.174955, 0.212430, 0.104778, -0.531246, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.554389, 23.119455, 24.702347, 28.488791, 45.138921], [5.102626, 5.312533, 5.488219, 5.731622, 19.871520], [12.669536, 14.506607, 15.848727, 16.205460, 28.412393], [15.837515, 15.904288, 18.133633, 20.392344, 112.465921], [4.123754, 4.349652, 5.005410, 5.050664, 48.523238], [17.347441, 18.951385, 22.212240, 22.757769, 48.366721]]
### 4
mean: [0.997988, 0.817150, -0.130654, -0.813402, 0.831126, 0.212153]
std: [1.799363, 1.395665, 0.790207, 0.199400, 0.532666, 0.178024]
pca: [[0.729639, 0.525220, -0.262127, 0.220153, -0.154944, 0.224913, 0.000000, 0.000000, 0.000000, 0.000000], [0.564339, -0.493364, 0.301605, 0.066951, 0.585282, 0.010520, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321077, -0.014637, -0.377691, 0.747312, 0.403126, 0.181821, 0.000000, 0.000000, 0.000000, 0.000000], [-0.056829, 0.158351, 0.789318, 0.519560, -0.278514, 0.034056, 0.000000, 0.000000, 0.000000, 0.000000], [0.206515, -0.454167, -0.263337, 0.344394, -0.475221, -0.580772, 0.000000, 0.000000, 0.000000, 0.000000], [0.013432, -0.499178, -0.072836, -0.004968, -0.409294, 0.760124, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.621025, 33.471178, 34.755848, 37.303507, 89.818914], [19.289610, 24.083160, 24.743386, 29.215380, 73.543465], [10.987019, 11.758836, 14.385551, 15.582607, 16.454935], [3.076282, 3.256717, 3.271509, 3.451825, 73.206131], [7.397635, 8.398478, 8.487169, 10.874826, 74.801347], [3.003549, 3.028650, 3.046210, 3.682128, 19.093811]]
### 6
mean: [-0.991125, -0.362457, 1.064857, -0.123694, -0.551074, 1.574199]
std: [1.921694, 0.918480, 1.383637, 0.412940, 0.167950, 2.064812]
pca: [[-0.581694, 0.658132, 0.138805, 0.019849, -0.449842, 0.080470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277844, -0.220481, 0.632231, 0.412491, 0.155305, -0.529344, 0.000000, 0.000000, 0.000000, 0.000000], [0.419005, 0.290495, 0.536171, 0.297786, 0.165534, 0.580077, 0.000000, 0.000000, 0.000000, 0.000000], [0.123399, 0.370484, -0.512003, 0.699669, 0.215614, -0.222127, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046058, 0.466710, 0.080831, -0.471362, 0.704605, -0.234260, 0.000000, 0.000000, 0.000000, 0.000000], [0.625716, 0.280689, 0.157658, -0.170473, -0.450737, -0.522123, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.976096, 29.181033, 32.339572, 40.790975, 89.201297], [13.800788, 14.714145, 15.969339, 19.711727, 32.621095], [20.470265, 22.365611, 23.163431, 29.226843, 95.837102], [6.255807, 6.749473, 7.235480, 8.690346, 11.132441], [2.438561, 2.503225, 2.854466, 3.306282, 49.596691], [30.799367, 33.054113, 34.907591, 43.829382, 141.677915]]
### 8
mean: [0.509281, -0.027803, -0.539679, 0.174528, 1.734426, -0.739144]
std: [0.115700, 1.230608, 0.367711, 0.750033, 1.878096, 1.364891]
pca: [[0.018472, -0.301936, -0.209508, 0.807541, -0.086408, -0.452781, 0.000000, 0.000000, 0.000000, 0.000000], [-0.447738, -0.311291, -0.110221, 0.075610, 0.796863, 0.223096, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110420, 0.608827, -0.068762, 0.529593, -0.044782, 0.574399, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268790, -0.418324, 0.733358, 0.172583, -0.312267, 0.296053, 0.000000, 0.000000, 0.000000, 0.000000], [0.683604, -0.448081, -0.221275, 0.058223, 0.025067, 0.528136, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497428, -0.255910, -0.593677, -0.168871, -0.507344, 0.220699, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.617590, 2.040796, 2.049804, 2.265016, 45.835275], [17.418028, 19.058023, 19.820936, 21.121258, 26.085113], [5.391373, 5.757407, 6.330462, 6.507033, 48.571062], [11.592677, 12.310396, 13.449518, 15.618263, 15.707524], [28.351544, 28.851391, 30.142677, 39.650356, 156.098397], [21.200871, 21.843702, 23.118593, 29.041526, 66.522974]]
### 10
mean: [-0.305264, 0.563175, -0.558614, 0.410001, 0.467728, 0.660779]
std: [1.109091, 0.807489, 0.158771, 1.154426, 0.237403, 1.131194]
pca: [[-0.521485, -0.453618, 0.558325, 0.102389, -0.388699, 0.221329, 0.000000, 0.000000, 0.000000, 0.000000], [0.376919, 0.388890, 0.312008, 0.400962, -0.024626, 0.669306, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061598, -0.198712, 0.248006, 0.608409, 0.656927, -0.305774, 0.000000, 0.000000, 0.000000, 0.000000], [0.551954, -0.146577, 0.631866, -0.457302, 0.079128, -0.243353, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021984, 0.499579, 0.207448, 0.325696, -0.504726, -0.588283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526360, 0.576580, 0.295174, -0.378658, 0.394644, 0.065169, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.267955, 17.443512, 18.381312, 23.605156, 27.473779], [12.354388, 12.703681, 12.903643, 17.324730, 50.685770], [2.167079, 2.309448, 2.642409, 3.055193, 50.275252], [18.727320, 19.206044, 19.324335, 24.394149, 36.900128], [3.634916, 3.750723, 3.908986, 4.921371, 42.095517], [18.162521, 19.199993, 19.804542, 22.613785, 59.470142]]
### 12
mean: [-0.464863]
std: [1.073523]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.479824, 18.069527, 18.325945, 22.066764, 41.837647]]
## 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:
{
"network.0.weight": [
[
0.317902,
-0.143444,
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0.279465
],
[
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0.148572,
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[
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0.05848,
0.699791
],
[
-0.212777,
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0.563446,
0.398287,
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],
[
-0.296975,
0.412543,
-0.035896,
0.021226,
-0.273769
],
[
0.009288,
-0.296087,
-0.329471,
-0.416402,
-0.52268
]
],
"network.0.bias": [
0.297232,
-0.256469,
0.3649,
-0.255535,
0.158508,
-0.063061
],
"network.2.weight": [
[
-0.443669,
0.508077,
-0.173903,
0.73965,
-0.031549,
-0.099975
],
[
-0.056382,
0.08282,
0.055315,
-0.148395,
-0.303151,
0.229284
],
[
0.13751,
-0.079994,
0.362591,
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-0.371032,
-0.010938
],
[
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0.101778,
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0.634045,
0.2382
],
[
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0.074022,
0.099596
],
[
0.080118,
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0.571404,
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]
],
"network.2.bias": [
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0.082963,
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-0.254233,
0.075579
],
"network.4.weight": [
[
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-0.423242,
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0.618591,
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],
[
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0.065336,
0.314631,
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],
[
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0.476748
],
[
0.130005,
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0.188978
],
[
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0.03188,
0.238632,
0.039107,
-0.020468
],
[
0.112395,
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0.347291,
0.073856,
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]
],
"network.4.bias": [
0.489069,
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0.00354,
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],
"network.6.weight": [
[
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[
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0.161836,
0.089759
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[
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0.130288
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[
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[
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0.468431,
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],
[
0.589096,
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-0.614377,
-0.201127,
0.225036,
0.14834
]
],
"network.6.bias": [
0.416838,
0.289781,
0.038025,
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-0.248733,
0.026777
],
"network.8.weight": [
[
0.327715,
0.147408,
0.053666,
0.123154,
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0.014422
],
[
0.592902,
0.429245,
-0.226664,
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-0.304052,
-0.360411
],
[
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0.410808,
0.286765,
-0.138579
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[
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[
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0.020304,
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0.592962
],
[
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0.044577,
0.03956,
-0.469259
]
],
"network.8.bias": [
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0.616616,
0.048489,
0.383139,
0.164517,
0.113334
],
"network.10.weight": [
[
0.055542,
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-0.004155,
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0.245576
],
[
0.421795,
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0.168689,
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0.32575,
0.246456
],
[
0.055763,
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0.526102,
-0.252733,
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0.399642
],
[
0.240306,
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0.289921,
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],
[
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0.073397,
0.138004,
0.22439
],
[
0.405132,
0.722745,
-0.278652,
0.704706,
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0.509859
]
],
"network.10.bias": [
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0.034642,
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0.302116,
0.002048,
0.293407
],
"network.12.weight": [
[
-0.24669,
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-0.063552,
0.366084,
0.061404,
-0.648486
]
],
"network.12.bias": [
-0.272462
]
}
## Activation Signature
### 0
mean: [-0.184958, 0.160588, 1.344765, 0.902782, 0.173572, -2.816857]
std: [1.149052, 1.013837, 1.407310, 1.438089, 1.023653, 1.835913]
pca: [[0.422273, 0.219055, -0.280792, 0.557553, 0.455696, 0.419920, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380043, -0.162223, -0.234668, -0.531157, 0.598895, 0.365210, 0.000000, 0.000000, 0.000000, 0.000000], [0.527182, -0.317164, -0.071722, -0.364851, -0.434134, 0.542913, 0.000000, 0.000000, 0.000000, 0.000000], [-0.479614, -0.356886, -0.570252, 0.398195, -0.366633, 0.156319, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361888, -0.014956, 0.694742, 0.264445, -0.067379, 0.558279, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195803, 0.835173, -0.230409, -0.213073, -0.325936, 0.243770, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.441765, 16.646212, 17.072654, 19.286426, 21.792896], [14.452895, 15.260442, 16.537306, 17.146971, 17.354056], [20.858566, 22.795979, 28.453191, 32.036237, 121.028843], [20.665354, 22.194968, 23.382764, 27.148598, 81.250370], [15.419179, 15.621506, 17.015592, 20.471694, 21.487484], [30.962317, 31.424528, 31.573315, 33.844507, 253.517091]]
### 2
mean: [0.501544, -0.220795, 0.315693, 1.249621, -0.539147, 0.537408]
std: [1.472142, 0.314500, 0.810525, 1.040818, 0.264923, 1.097889]
pca: [[0.657702, 0.543515, -0.497493, 0.010704, -0.128709, -0.088542, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129935, 0.061640, -0.373394, 0.179680, 0.846006, 0.303121, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349614, 0.415372, -0.040866, 0.060666, -0.381625, 0.744478, 0.000000, 0.000000, 0.000000, 0.000000], [0.466723, 0.210586, 0.745300, 0.248313, 0.243908, 0.247389, 0.000000, 0.000000, 0.000000, 0.000000], [0.020508, -0.250825, -0.159144, 0.925815, -0.227156, -0.051046, 0.000000, 0.000000, 0.000000, 0.000000], [-0.458328, 0.648844, 0.174955, 0.212430, 0.104778, -0.531246, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.554389, 23.119455, 24.702347, 28.488791, 45.138921], [5.102626, 5.312533, 5.488219, 5.731622, 19.871520], [12.669536, 14.506607, 15.848727, 16.205460, 28.412393], [15.837515, 15.904288, 18.133633, 20.392344, 112.465921], [4.123754, 4.349652, 5.005410, 5.050664, 48.523238], [17.347441, 18.951385, 22.212240, 22.757769, 48.366721]]
### 4
mean: [0.997988, 0.817150, -0.130654, -0.813402, 0.831126, 0.212153]
std: [1.799363, 1.395665, 0.790207, 0.199400, 0.532666, 0.178024]
pca: [[0.729639, 0.525220, -0.262127, 0.220153, -0.154944, 0.224913, 0.000000, 0.000000, 0.000000, 0.000000], [0.564339, -0.493364, 0.301605, 0.066951, 0.585282, 0.010520, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321077, -0.014637, -0.377691, 0.747312, 0.403126, 0.181821, 0.000000, 0.000000, 0.000000, 0.000000], [-0.056829, 0.158351, 0.789318, 0.519560, -0.278514, 0.034056, 0.000000, 0.000000, 0.000000, 0.000000], [0.206515, -0.454167, -0.263337, 0.344394, -0.475221, -0.580772, 0.000000, 0.000000, 0.000000, 0.000000], [0.013432, -0.499178, -0.072836, -0.004968, -0.409294, 0.760124, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.621025, 33.471178, 34.755848, 37.303507, 89.818914], [19.289610, 24.083160, 24.743386, 29.215380, 73.543465], [10.987019, 11.758836, 14.385551, 15.582607, 16.454935], [3.076282, 3.256717, 3.271509, 3.451825, 73.206131], [7.397635, 8.398478, 8.487169, 10.874826, 74.801347], [3.003549, 3.028650, 3.046210, 3.682128, 19.093811]]
### 6
mean: [-0.991125, -0.362457, 1.064857, -0.123694, -0.551074, 1.574199]
std: [1.921694, 0.918480, 1.383637, 0.412940, 0.167950, 2.064812]
pca: [[-0.581694, 0.658132, 0.138805, 0.019849, -0.449842, 0.080470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277844, -0.220481, 0.632231, 0.412491, 0.155305, -0.529344, 0.000000, 0.000000, 0.000000, 0.000000], [0.419005, 0.290495, 0.536171, 0.297786, 0.165534, 0.580077, 0.000000, 0.000000, 0.000000, 0.000000], [0.123399, 0.370484, -0.512003, 0.699669, 0.215614, -0.222127, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046058, 0.466710, 0.080831, -0.471362, 0.704605, -0.234260, 0.000000, 0.000000, 0.000000, 0.000000], [0.625716, 0.280689, 0.157658, -0.170473, -0.450737, -0.522123, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.976096, 29.181033, 32.339572, 40.790975, 89.201297], [13.800788, 14.714145, 15.969339, 19.711727, 32.621095], [20.470265, 22.365611, 23.163431, 29.226843, 95.837102], [6.255807, 6.749473, 7.235480, 8.690346, 11.132441], [2.438561, 2.503225, 2.854466, 3.306282, 49.596691], [30.799367, 33.054113, 34.907591, 43.829382, 141.677915]]
### 8
mean: [0.509281, -0.027803, -0.539679, 0.174528, 1.734426, -0.739144]
std: [0.115700, 1.230608, 0.367711, 0.750033, 1.878096, 1.364891]
pca: [[0.018472, -0.301936, -0.209508, 0.807541, -0.086408, -0.452781, 0.000000, 0.000000, 0.000000, 0.000000], [-0.447738, -0.311291, -0.110221, 0.075610, 0.796863, 0.223096, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110420, 0.608827, -0.068762, 0.529593, -0.044782, 0.574399, 0.000000, 0.000000, 0.000000, 0.000000], [-0.268790, -0.418324, 0.733358, 0.172583, -0.312267, 0.296053, 0.000000, 0.000000, 0.000000, 0.000000], [0.683604, -0.448081, -0.221275, 0.058223, 0.025067, 0.528136, 0.000000, 0.000000, 0.000000, 0.000000], [-0.497428, -0.255910, -0.593677, -0.168871, -0.507344, 0.220699, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.617590, 2.040796, 2.049804, 2.265016, 45.835275], [17.418028, 19.058023, 19.820936, 21.121258, 26.085113], [5.391373, 5.757407, 6.330462, 6.507033, 48.571062], [11.592677, 12.310396, 13.449518, 15.618263, 15.707524], [28.351544, 28.851391, 30.142677, 39.650356, 156.098397], [21.200871, 21.843702, 23.118593, 29.041526, 66.522974]]
### 10
mean: [-0.305264, 0.563175, -0.558614, 0.410001, 0.467728, 0.660779]
std: [1.109091, 0.807489, 0.158771, 1.154426, 0.237403, 1.131194]
pca: [[-0.521485, -0.453618, 0.558325, 0.102389, -0.388699, 0.221329, 0.000000, 0.000000, 0.000000, 0.000000], [0.376919, 0.388890, 0.312008, 0.400962, -0.024626, 0.669306, 0.000000, 0.000000, 0.000000, 0.000000], [-0.061598, -0.198712, 0.248006, 0.608409, 0.656927, -0.305774, 0.000000, 0.000000, 0.000000, 0.000000], [0.551954, -0.146577, 0.631866, -0.457302, 0.079128, -0.243353, 0.000000, 0.000000, 0.000000, 0.000000], [-0.021984, 0.499579, 0.207448, 0.325696, -0.504726, -0.588283, 0.000000, 0.000000, 0.000000, 0.000000], [-0.526360, 0.576580, 0.295174, -0.378658, 0.394644, 0.065169, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.267955, 17.443512, 18.381312, 23.605156, 27.473779], [12.354388, 12.703681, 12.903643, 17.324730, 50.685770], [2.167079, 2.309448, 2.642409, 3.055193, 50.275252], [18.727320, 19.206044, 19.324335, 24.394149, 36.900128], [3.634916, 3.750723, 3.908986, 4.921371, 42.095517], [18.162521, 19.199993, 19.804542, 22.613785, 59.470142]]
### 12
mean: [-0.464863]
std: [1.073523]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.479824, 18.069527, 18.325945, 22.066764, 41.837647]]
## 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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"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": [[0.317902, -0.143444, -0.093323, -0.35727, 0.279465], [-0.081898, -0.088297, 0.148572, 0.398869, -0.393917], [0.171682, -0.116075, -0.005147, 0.05848, 0.699791], [-0.212777, -0.016867, 0.563446, 0.398287, -0.468033], [-0.296975, 0.412543, -0.035896, 0.021226, -0.273769], [0.009288, -0.296087, -0.329471, -0.416402, -0.52268]], "network.0.bias": [0.297232, -0.256469, 0.3649, -0.255535, 0.158508, -0.063061], "network.2.weight": [[-0.443669, 0.508077, -0.173903, 0.73965, -0.031549, -0.099975], [-0.056382, 0.08282, 0.055315, -0.148395, -0.303151, 0.229284], [0.13751, -0.079994, 0.362591, -0.096839, -0.371032, -0.010938], [-0.328355, 0.101778, -0.028257, 0.477614, 0.634045, 0.2382], [-0.060318, 0.415752, -0.09447, -0.323252, 0.074022, 0.099596], [0.080118, -0.141603, 0.571404, -0.086578, -0.394393, -0.046965]], "network.2.bias": [-0.100972, -0.043826, 0.082963, 0.631568, -0.254233, 0.075579], "network.4.weight": [[0.42405, -0.423242, -0.47456, 0.618591, 0.051085, -0.606191], [0.689626, -0.439515, 0.065336, 0.314631, -0.481465, -0.456185], [-0.364931, 0.148965, -0.175787, -0.117907, -0.412911, 0.476748], [0.130005, 0.368356, -0.424993, -0.339105, 0.535755, 0.188978], [0.23577, -0.288052, 0.03188, 0.238632, 0.039107, -0.020468], [0.112395, 0.328357, 0.347291, 0.073856, -0.207662, -0.058629]], "network.4.bias": [0.489069, 0.098934, 0.00354, -0.371042, 0.365987, -0.062637], "network.6.weight": [[-0.725629, -0.784541, -0.119255, -0.660906, 0.107735, 0.255444], [-0.471574, -0.232947, 0.205603, 0.061984, 0.161836, 0.089759], [0.235716, 0.535882, -0.525909, 0.079437, 0.453448, 0.130288], [0.250387, -0.094558, -0.331653, 0.613161, 0.13638, 0.252934], [-0.141115, -0.0036, -0.266166, 0.468431, -0.022485, 0.031758], [0.589096, 0.763792, -0.614377, -0.201127, 0.225036, 0.14834]], "network.6.bias": [0.416838, 0.289781, 0.038025, -0.333743, -0.248733, 0.026777], "network.8.weight": [[0.327715, 0.147408, 0.053666, 0.123154, -0.461053, 0.014422], [0.592902, 0.429245, -0.226664, -0.155921, -0.304052, -0.360411], [-0.470144, -0.506355, -0.198002, 0.410808, 0.286765, -0.138579], [0.72445, 0.267169, -0.115038, -0.555161, -0.141466, -0.149812], [-0.065774, 0.132438, 0.508025, 0.020304, -0.521833, 0.592962], [0.484147, 0.506649, -0.199606, 0.044577, 0.03956, -0.469259]], "network.8.bias": [0.293897, 0.616616, 0.048489, 0.383139, 0.164517, 0.113334], "network.10.weight": [[0.055542, 0.199783, -0.326014, -0.004155, -0.522159, 0.245576], [0.421795, -0.11046, 0.168689, -0.440339, 0.32575, 0.246456], [0.055763, -0.172059, 0.526102, -0.252733, -0.13038, 0.399642], [0.240306, -0.707832, -0.194342, -0.7012, 0.289921, -0.022793], [-0.106788, 0.475077, -0.313823, 0.073397, 0.138004, 0.22439], [0.405132, 0.722745, -0.278652, 0.704706, -0.215587, 0.509859]], "network.10.bias": [0.398922, 0.034642, -0.19751, 0.302116, 0.002048, 0.293407], "network.12.weight": [[-0.24669, 0.163969, -0.063552, 0.366084, 0.061404, -0.648486]], "network.12.bias": [-0.272462]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.681287407875061, "train_acc": 0.58, "val_loss": 0.7225251197814941, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6706047356128693, "train_acc": 0.58, "val_loss": 0.6978573799133301, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6435975730419159, "train_acc": 0.58, "val_loss": 0.6389018893241882, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5815006792545319, "train_acc": 0.615, "val_loss": 0.49067264795303345, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5222630649805069, "train_acc": 0.78, "val_loss": 0.6614047884941101, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5765219628810883, "train_acc": 0.75, "val_loss": 0.4471777081489563, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4572993516921997, "train_acc": 0.795, "val_loss": 0.507497251033783, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4897955060005188, "train_acc": 0.765, "val_loss": 0.5226394534111023, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4857828766107559, "train_acc": 0.77, "val_loss": 0.49745941162109375, "val_acc": 0.8}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7225251197814941, "final_val_loss": 0.6389018893241882, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.49067264795303345, "final_val_loss": 0.49745941162109375, "initial_val_acc": 0.82, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 3}, "improvement": 0.35999999999999993, "first_improvement_epoch": 2}}
|
9,912
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8182, "learning_rate": 0.04639015224916034, "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:
{
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[
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[
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[
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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.10.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [3.832034, -2.833536, -1.718722, -0.575297, 3.081598]
std: [3.403078, 1.914456, 0.848732, 1.607562, 2.700904]
pca: [[0.732526, 0.131293, 0.661641, -0.065022, 0.064592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330140, 0.557007, 0.343111, 0.621445, -0.277185, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167037, 0.008227, 0.116757, 0.260356, 0.943723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.019256, 0.809862, -0.247849, -0.504667, 0.166241, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.571088, 0.128692, -0.607820, 0.535821, 0.027336, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.971212, 57.640968, 58.330874, 65.805878, 344.883005], [28.499916, 30.399218, 35.819200, 37.085842, 255.018217], [13.747860, 14.502523, 16.106997, 18.015971, 154.684972], [29.878678, 30.179944, 30.474647, 32.179360, 51.776715], [43.352721, 45.307814, 50.269079, 53.452450, 277.343816]]
### 2
mean: [4.794863, -1.386222, -0.174173, 2.697225, -1.345486]
std: [4.131661, 0.946459, 0.429646, 2.357168, 1.613582]
pca: [[0.813981, -0.291684, 0.269824, 0.388454, 0.169272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184048, -0.063101, -0.446578, 0.800563, -0.349016, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.008051, 0.592870, -0.208735, 0.252796, 0.735503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.454933, 0.687333, -0.098897, -0.132498, -0.541548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310696, 0.294988, 0.821226, 0.356008, -0.123679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.337730, 69.394992, 73.323697, 80.800251, 431.537670], [16.285561, 16.719416, 16.876075, 18.301390, 124.759937], [6.596120, 6.664838, 7.016372, 8.380057, 15.675584], [39.132599, 41.726578, 43.866765, 44.923904, 242.750284], [25.789610, 28.215842, 28.880768, 30.707034, 121.093769]]
### 4
mean: [0.587431, 6.176732, -2.850859, 5.747239, -1.082915]
std: [0.825186, 5.331908, 3.086188, 4.851091, 0.759396]
pca: [[0.104042, 0.158125, -0.562689, 0.430241, 0.680033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673268, 0.189687, -0.161184, 0.426496, -0.550318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389537, -0.571743, 0.101204, 0.695873, -0.163979, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.612472, -0.506526, 0.441444, -0.039836, 0.414547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094995, 0.596286, 0.672522, 0.383625, 0.189646, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.798201, 14.598013, 14.621768, 15.946624, 52.868813], [88.745121, 92.796942, 95.977744, 104.045976, 555.905879], [51.256556, 53.332546, 55.475976, 60.310175, 256.577331], [81.280461, 84.609221, 87.694952, 94.723435, 517.251535], [12.525130, 13.539716, 14.215379, 14.450615, 97.462383]]
### 6
mean: [-2.827421, 8.794236, 8.517164, -3.549196, -3.874527]
std: [3.033809, 7.515158, 7.280458, 2.794810, 3.205104]
pca: [[-0.259320, 0.842316, 0.462610, 0.096139, -0.002406, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642615, 0.454045, -0.530735, 0.307383, -0.068746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.622554, -0.182246, 0.647899, 0.167439, 0.362497, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238985, 0.076278, -0.287905, 0.095442, 0.919277, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274065, -0.212873, 0.040629, 0.926892, -0.137094, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.249632, 52.134104, 54.659796, 59.847658, 254.467883], [125.823170, 130.485840, 135.699763, 146.786621, 791.481394], [121.771486, 126.305651, 131.372804, 142.386284, 766.544774], [46.744005, 48.474378, 50.424505, 54.665091, 319.427640], [53.622507, 55.652156, 57.860180, 62.586061, 348.707433]]
### 8
mean: [-2.972166, -0.003096, 11.894403, 8.148871, -0.741673]
std: [2.181282, 0.310214, 10.169320, 7.206835, 0.467756]
pca: [[-0.172203, -0.263816, 0.018402, 0.538187, 0.781513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.023643, -0.596182, -0.111920, 0.550852, -0.572752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.802932, -0.040701, -0.566571, -0.005877, 0.180571, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569025, 0.050205, 0.799209, 0.186893, -0.005193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036031, 0.755507, -0.165523, 0.609880, -0.168996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.833851, 37.450543, 39.444803, 42.889907, 267.494970], [4.963536, 5.419016, 5.441935, 5.565310, 5.610665], [171.146012, 175.343851, 183.917431, 199.344849, 1070.496374], [121.285567, 124.183421, 130.362698, 141.273728, 733.398395], [8.157049, 8.273426, 8.391808, 8.533156, 66.750604]]
### 10
mean: [17.076698, 7.379763, -8.614733, -4.292665, -3.249182]
std: [14.683749, 6.525963, 8.330765, 3.262994, 2.516291]
pca: [[0.791031, -0.038189, 0.419497, 0.389483, -0.212456, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.351559, -0.369542, -0.372429, 0.071989, 0.771984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448786, -0.438960, 0.653340, 0.317396, 0.279844, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175771, 0.620731, -0.150730, 0.710153, 0.238244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135545, -0.532904, -0.485537, 0.487917, -0.473108, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.873852, 252.650778, 266.316868, 286.683737, 1536.902916], [109.993472, 112.077998, 118.401823, 127.450179, 664.178640], [139.802862, 143.453900, 150.964175, 162.536520, 775.325938], [55.260634, 55.895450, 59.301714, 63.812233, 386.339907], [41.917571, 43.564265, 45.550337, 49.048998, 292.426378]]
### 12
mean: [-13.976813]
std: [12.657367]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[214.264115, 216.285553, 229.937782, 247.735202, 1257.913325]]
## 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:
{
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1.150945,
0.878797,
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0.401677,
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[
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0.047307
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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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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [3.832034, -2.833536, -1.718722, -0.575297, 3.081598]
std: [3.403078, 1.914456, 0.848732, 1.607562, 2.700904]
pca: [[0.732526, 0.131293, 0.661641, -0.065022, 0.064592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330140, 0.557007, 0.343111, 0.621445, -0.277185, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167037, 0.008227, 0.116757, 0.260356, 0.943723, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.019256, 0.809862, -0.247849, -0.504667, 0.166241, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.571088, 0.128692, -0.607820, 0.535821, 0.027336, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.971212, 57.640968, 58.330874, 65.805878, 344.883005], [28.499916, 30.399218, 35.819200, 37.085842, 255.018217], [13.747860, 14.502523, 16.106997, 18.015971, 154.684972], [29.878678, 30.179944, 30.474647, 32.179360, 51.776715], [43.352721, 45.307814, 50.269079, 53.452450, 277.343816]]
### 2
mean: [4.794863, -1.386222, -0.174173, 2.697225, -1.345486]
std: [4.131661, 0.946459, 0.429646, 2.357168, 1.613582]
pca: [[0.813981, -0.291684, 0.269824, 0.388454, 0.169272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184048, -0.063101, -0.446578, 0.800563, -0.349016, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.008051, 0.592870, -0.208735, 0.252796, 0.735503, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.454933, 0.687333, -0.098897, -0.132498, -0.541548, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.310696, 0.294988, 0.821226, 0.356008, -0.123679, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.337730, 69.394992, 73.323697, 80.800251, 431.537670], [16.285561, 16.719416, 16.876075, 18.301390, 124.759937], [6.596120, 6.664838, 7.016372, 8.380057, 15.675584], [39.132599, 41.726578, 43.866765, 44.923904, 242.750284], [25.789610, 28.215842, 28.880768, 30.707034, 121.093769]]
### 4
mean: [0.587431, 6.176732, -2.850859, 5.747239, -1.082915]
std: [0.825186, 5.331908, 3.086188, 4.851091, 0.759396]
pca: [[0.104042, 0.158125, -0.562689, 0.430241, 0.680033, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.673268, 0.189687, -0.161184, 0.426496, -0.550318, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389537, -0.571743, 0.101204, 0.695873, -0.163979, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.612472, -0.506526, 0.441444, -0.039836, 0.414547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094995, 0.596286, 0.672522, 0.383625, 0.189646, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.798201, 14.598013, 14.621768, 15.946624, 52.868813], [88.745121, 92.796942, 95.977744, 104.045976, 555.905879], [51.256556, 53.332546, 55.475976, 60.310175, 256.577331], [81.280461, 84.609221, 87.694952, 94.723435, 517.251535], [12.525130, 13.539716, 14.215379, 14.450615, 97.462383]]
### 6
mean: [-2.827421, 8.794236, 8.517164, -3.549196, -3.874527]
std: [3.033809, 7.515158, 7.280458, 2.794810, 3.205104]
pca: [[-0.259320, 0.842316, 0.462610, 0.096139, -0.002406, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.642615, 0.454045, -0.530735, 0.307383, -0.068746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.622554, -0.182246, 0.647899, 0.167439, 0.362497, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238985, 0.076278, -0.287905, 0.095442, 0.919277, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274065, -0.212873, 0.040629, 0.926892, -0.137094, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.249632, 52.134104, 54.659796, 59.847658, 254.467883], [125.823170, 130.485840, 135.699763, 146.786621, 791.481394], [121.771486, 126.305651, 131.372804, 142.386284, 766.544774], [46.744005, 48.474378, 50.424505, 54.665091, 319.427640], [53.622507, 55.652156, 57.860180, 62.586061, 348.707433]]
### 8
mean: [-2.972166, -0.003096, 11.894403, 8.148871, -0.741673]
std: [2.181282, 0.310214, 10.169320, 7.206835, 0.467756]
pca: [[-0.172203, -0.263816, 0.018402, 0.538187, 0.781513, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.023643, -0.596182, -0.111920, 0.550852, -0.572752, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.802932, -0.040701, -0.566571, -0.005877, 0.180571, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569025, 0.050205, 0.799209, 0.186893, -0.005193, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036031, 0.755507, -0.165523, 0.609880, -0.168996, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.833851, 37.450543, 39.444803, 42.889907, 267.494970], [4.963536, 5.419016, 5.441935, 5.565310, 5.610665], [171.146012, 175.343851, 183.917431, 199.344849, 1070.496374], [121.285567, 124.183421, 130.362698, 141.273728, 733.398395], [8.157049, 8.273426, 8.391808, 8.533156, 66.750604]]
### 10
mean: [17.076698, 7.379763, -8.614733, -4.292665, -3.249182]
std: [14.683749, 6.525963, 8.330765, 3.262994, 2.516291]
pca: [[0.791031, -0.038189, 0.419497, 0.389483, -0.212456, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.351559, -0.369542, -0.372429, 0.071989, 0.771984, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448786, -0.438960, 0.653340, 0.317396, 0.279844, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175771, 0.620731, -0.150730, 0.710153, 0.238244, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135545, -0.532904, -0.485537, 0.487917, -0.473108, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.873852, 252.650778, 266.316868, 286.683737, 1536.902916], [109.993472, 112.077998, 118.401823, 127.450179, 664.178640], [139.802862, 143.453900, 150.964175, 162.536520, 775.325938], [55.260634, 55.895450, 59.301714, 63.812233, 386.339907], [41.917571, 43.564265, 45.550337, 49.048998, 292.426378]]
### 12
mean: [-13.976813]
std: [12.657367]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[214.264115, 216.285553, 229.937782, 247.735202, 1257.913325]]
## 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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.150945, 0.878797, -0.050689, 0.401677, -0.398702], [-0.143549, -0.718943, -0.226036, 0.027342, -0.49248], [-0.080982, -0.260053, -0.10138, -0.209654, 0.047307], [-0.166895, 0.311052, -0.339851, 0.07748, -0.630674], [0.356153, 1.049222, 0.422902, 0.071813, -0.439755]], "network.0.bias": [0.534625, -0.323901, -0.541052, 0.387179, 0.231439], "network.2.weight": [[0.731953, -0.376528, 0.093202, 0.332046, 0.653506], [-0.126755, -0.162019, 0.414805, -0.345896, -0.184998], [-0.259558, 0.103379, -0.172543, -0.040301, 0.349818], [0.030566, 0.238291, -0.329784, 0.157183, 0.850856], [-0.317944, -0.149099, -0.121631, 0.502618, -0.228787]], "network.2.bias": [-0.157663, -0.214189, -0.25935, -0.127749, 0.431933], "network.4.weight": [[0.117419, -0.403888, -0.159794, 0.15421, 0.134146], [0.902733, 0.331648, 0.391554, 0.679081, -0.469435], [-0.566226, 0.338573, -0.089172, -0.316201, 0.312636], [0.780366, 0.056329, 0.670646, 0.676228, -0.704877], [0.005624, -0.41754, 0.180073, -0.337696, -0.001395]], "network.4.bias": [-0.383602, -0.003341, 0.71031, 0.145966, -0.21679], "network.6.weight": [[0.245703, -0.609667, 0.594053, 0.019645, 0.33237], [-0.068697, 0.782209, -0.257671, 0.695982, 0.042705], [0.337938, 0.909441, -0.83091, 0.43069, -0.236409], [-0.122328, -0.369196, 0.321029, -0.144376, 0.32036], [0.012808, -0.369712, 0.111873, -0.254523, 0.131813]], "network.6.bias": [0.610107, 0.026213, 0.282254, -0.38936, -0.144645], "network.8.weight": [[0.312131, -0.04382, -0.24813, 0.182831, -0.34253], [0.257736, 0.262563, -0.224432, 0.214054, -0.073761], [-0.85901, 0.769233, 0.586304, 0.019023, 0.241381], [-0.621354, 0.352368, 0.614439, 0.046809, -0.037332], [-0.336591, -0.231059, 0.168539, -0.214632, 0.028496]], "network.8.bias": [-0.512526, -0.43447, 0.240793, -0.108643, -0.099974], "network.10.weight": [[0.166317, 0.091703, 1.159098, 0.407534, -0.387534], [-0.085106, -0.264436, 0.441686, 0.294047, 0.108319], [-0.433008, -0.078298, -0.297368, -0.741232, 0.003708], [-0.280957, 0.242973, -0.452396, 0.178129, 0.087412], [-0.372322, -0.370288, -0.182162, -0.082963, -0.21778]], "network.10.bias": [-0.092287, -0.262201, 1.015746, -0.390739, -0.350959], "network.12.weight": [[-0.741457, -0.240442, 1.097625, -0.206394, 0.183727]], "network.12.bias": [0.288531]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6800305247306824, "train_acc": 0.58, "val_loss": 0.7118287682533264, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681069403886795, "train_acc": 0.58, "val_loss": 0.7077393531799316, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6725385785102844, "train_acc": 0.58, "val_loss": 0.6873100399971008, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6514275968074799, "train_acc": 0.58, "val_loss": 0.6602052450180054, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6302057206630707, "train_acc": 0.505, "val_loss": 0.5815303921699524, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5234472751617432, "train_acc": 0.66, "val_loss": 0.4620021879673004, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4102892577648163, "train_acc": 0.92, "val_loss": 0.3932279348373413, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3474532812833786, "train_acc": 0.92, "val_loss": 0.2903458774089813, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.30137398838996887, "train_acc": 0.935, "val_loss": 0.2435426265001297, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2557529956102371, "train_acc": 0.935, "val_loss": 0.37938377261161804, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2650318965315819, "train_acc": 0.93, "val_loss": 0.17987628281116486, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2268657311797142, "train_acc": 0.95, "val_loss": 0.15274852514266968, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.19753398001194, "train_acc": 0.94, "val_loss": 0.19632937014102936, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1629263460636139, "train_acc": 0.955, "val_loss": 0.17071914672851562, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7118287682533264, "final_val_loss": 0.6602052450180054, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5815303921699524, "final_val_loss": 0.17071914672851562, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.5, "first_improvement_epoch": 3}}
|
9,913
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2076, "learning_rate": 0.013801054713568219, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.05896,
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],
[
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0.102172
],
[
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0.21918,
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],
[
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0.043972,
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],
[
-0.332943,
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0.337345,
0.309446
]
],
"network.0.bias": [
0.241414,
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-0.203664,
0.247971
],
"network.2.weight": [
[
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0.321216,
0.151116,
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],
[
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0.395232,
0.222072,
-0.324852
],
[
-0.393547,
0.27524,
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0.16936
],
[
0.225586,
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0.19589,
0.017002,
0.560193
],
[
0.285566,
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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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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.295223
]
}
## Activation Signature
### 0
mean: [-0.067102, 1.554829, 1.347895, -2.897770, 1.478618]
std: [1.169683, 1.327125, 1.335216, 1.996781, 1.273902]
pca: [[0.196423, 0.168253, -0.497598, 0.822561, 0.094329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467032, -0.405121, -0.005370, 0.101769, 0.779341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388688, -0.548091, 0.233275, 0.411405, -0.569954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.741606, -0.429529, 0.446386, 0.157449, 0.203655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205528, 0.568040, 0.706179, 0.344952, 0.131937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.158008, 18.219084, 20.126577, 21.858215, 25.562843], [20.991438, 21.086427, 24.494208, 26.881376, 139.934556], [22.918518, 23.672577, 24.474906, 25.365657, 121.310545], [29.237828, 31.642934, 38.754784, 39.987101, 260.799311], [19.494001, 19.528296, 21.065172, 22.916702, 133.075610]]
### 2
mean: [0.200982, 0.219899, -0.145115, 1.457114, 0.363983]
std: [0.649565, 0.873505, 0.336639, 0.830434, 0.388718]
pca: [[0.577420, -0.015611, -0.355943, 0.500605, -0.537627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.791893, 0.011917, 0.228939, -0.170702, 0.539640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010670, 0.167544, 0.875868, 0.384803, -0.237901, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.070638, 0.923532, -0.087856, -0.315536, -0.186592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185442, 0.344429, -0.214541, 0.687474, 0.573003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.207032, 10.241169, 11.141317, 14.056908, 18.088375], [14.392753, 15.425515, 15.837436, 17.852631, 19.790946], [5.475180, 5.522073, 5.978180, 6.574579, 13.060355], [13.176559, 13.257782, 14.072390, 15.404023, 131.140308], [6.086036, 7.010041, 7.144295, 7.804069, 32.758491]]
### 4
mean: [0.829005, 0.007950, 0.161527, 0.424817, 0.957149]
std: [0.397474, 0.254256, 0.468954, 0.571610, 0.674628]
pca: [[0.289284, 0.653347, 0.472661, -0.324635, 0.400819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227854, -0.111484, 0.648736, 0.701740, 0.149519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.407031, -0.542225, -0.116055, -0.001346, 0.725843, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.533459, -0.392740, 0.491719, -0.234168, -0.514349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.643541, 0.335344, -0.316981, 0.589352, -0.159956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.334503, 6.375717, 7.088004, 7.116059, 74.610494], [3.388888, 3.723138, 4.604967, 4.867755, 4.909563], [8.174755, 8.307828, 8.622678, 9.070729, 14.537437], [9.559568, 10.542894, 10.603848, 11.150596, 38.233503], [9.829893, 10.945500, 12.223772, 12.908684, 86.143411]]
### 6
mean: [-0.216600, 0.457699, 0.820822, 1.131062, 0.210425]
std: [0.083832, 0.263356, 0.786705, 0.556433, 0.263019]
pca: [[-0.076577, 0.368007, 0.629535, -0.039422, 0.678851, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251586, 0.598449, -0.463962, -0.594444, 0.099696, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.760562, -0.311666, -0.211430, 0.251203, 0.465408, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537942, -0.082855, 0.584552, -0.388975, -0.459077, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251006, 0.634373, 0.044961, 0.656261, -0.319165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.329479, 1.351872, 1.450249, 1.562468, 19.494011], [3.990023, 4.495478, 4.735414, 4.858334, 41.192947], [12.736887, 13.287987, 13.654338, 14.139522, 73.873954], [9.178385, 9.269393, 9.478071, 9.988994, 101.795623], [3.889874, 4.643454, 4.931516, 5.005748, 18.938281]]
### 8
mean: [-0.786740]
std: [0.812692]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.893522, 13.118572, 13.930724, 14.197212, 70.806610]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.313102,
0.303432,
-0.032287,
0.05896,
-0.43037
],
[
0.272429,
0.254497,
0.376486,
-0.019504,
0.102172
],
[
0.36755,
-0.13957,
0.513852,
0.21918,
-0.209549
],
[
-0.361809,
-0.452222,
0.043972,
-0.458445,
-0.428553
],
[
-0.332943,
-0.101116,
0.346675,
0.337345,
0.309446
]
],
"network.0.bias": [
0.241414,
-0.118568,
-0.140127,
-0.203664,
0.247971
],
"network.2.weight": [
[
0.163724,
0.178674,
0.321216,
0.151116,
-0.291204
],
[
-0.239203,
0.262151,
0.395232,
0.222072,
-0.324852
],
[
-0.393547,
0.27524,
-0.278819,
-0.267042,
0.16936
],
[
0.225586,
0.072737,
0.19589,
0.017002,
0.560193
],
[
0.285566,
0.055652,
-0.123013,
0.03065,
0.283139
]
],
"network.2.bias": [
-0.108813,
-0.146251,
-0.330143,
0.204032,
-0.049481
],
"network.4.weight": [
[
0.035065,
-0.099925,
0.446329,
0.332338,
0.24727
],
[
-0.153805,
0.327825,
0.446807,
-0.24351,
-0.067985
],
[
-0.419318,
-0.305741,
-0.223481,
0.066329,
0.32182
],
[
-0.107186,
-0.609103,
0.413049,
0.145485,
0.34844
],
[
-0.536687,
-0.280571,
-0.21103,
0.614531,
0.075485
]
],
"network.4.bias": [
0.340307,
0.297195,
0.181077,
0.366314,
0.320347
],
"network.6.weight": [
[
-0.039846,
0.209768,
0.165598,
-0.064603,
-0.07676
],
[
-0.216447,
0.255032,
-0.180107,
0.403849,
0.426722
],
[
0.402271,
-0.396661,
0.49704,
0.526674,
0.559903
],
[
0.238827,
-0.035542,
0.178867,
0.532062,
0.429447
],
[
-0.078567,
-0.194447,
-0.12355,
0.484431,
0.203384
]
],
"network.6.bias": [
-0.131631,
0.100892,
-0.219943,
0.357518,
-0.074111
],
"network.8.weight": [
[
0.01571,
-0.217039,
-0.490609,
-0.572788,
-0.401311
]
],
"network.8.bias": [
0.295223
]
}
## Activation Signature
### 0
mean: [-0.067102, 1.554829, 1.347895, -2.897770, 1.478618]
std: [1.169683, 1.327125, 1.335216, 1.996781, 1.273902]
pca: [[0.196423, 0.168253, -0.497598, 0.822561, 0.094329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.467032, -0.405121, -0.005370, 0.101769, 0.779341, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.388688, -0.548091, 0.233275, 0.411405, -0.569954, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.741606, -0.429529, 0.446386, 0.157449, 0.203655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205528, 0.568040, 0.706179, 0.344952, 0.131937, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.158008, 18.219084, 20.126577, 21.858215, 25.562843], [20.991438, 21.086427, 24.494208, 26.881376, 139.934556], [22.918518, 23.672577, 24.474906, 25.365657, 121.310545], [29.237828, 31.642934, 38.754784, 39.987101, 260.799311], [19.494001, 19.528296, 21.065172, 22.916702, 133.075610]]
### 2
mean: [0.200982, 0.219899, -0.145115, 1.457114, 0.363983]
std: [0.649565, 0.873505, 0.336639, 0.830434, 0.388718]
pca: [[0.577420, -0.015611, -0.355943, 0.500605, -0.537627, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.791893, 0.011917, 0.228939, -0.170702, 0.539640, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010670, 0.167544, 0.875868, 0.384803, -0.237901, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.070638, 0.923532, -0.087856, -0.315536, -0.186592, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185442, 0.344429, -0.214541, 0.687474, 0.573003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.207032, 10.241169, 11.141317, 14.056908, 18.088375], [14.392753, 15.425515, 15.837436, 17.852631, 19.790946], [5.475180, 5.522073, 5.978180, 6.574579, 13.060355], [13.176559, 13.257782, 14.072390, 15.404023, 131.140308], [6.086036, 7.010041, 7.144295, 7.804069, 32.758491]]
### 4
mean: [0.829005, 0.007950, 0.161527, 0.424817, 0.957149]
std: [0.397474, 0.254256, 0.468954, 0.571610, 0.674628]
pca: [[0.289284, 0.653347, 0.472661, -0.324635, 0.400819, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.227854, -0.111484, 0.648736, 0.701740, 0.149519, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.407031, -0.542225, -0.116055, -0.001346, 0.725843, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.533459, -0.392740, 0.491719, -0.234168, -0.514349, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.643541, 0.335344, -0.316981, 0.589352, -0.159956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.334503, 6.375717, 7.088004, 7.116059, 74.610494], [3.388888, 3.723138, 4.604967, 4.867755, 4.909563], [8.174755, 8.307828, 8.622678, 9.070729, 14.537437], [9.559568, 10.542894, 10.603848, 11.150596, 38.233503], [9.829893, 10.945500, 12.223772, 12.908684, 86.143411]]
### 6
mean: [-0.216600, 0.457699, 0.820822, 1.131062, 0.210425]
std: [0.083832, 0.263356, 0.786705, 0.556433, 0.263019]
pca: [[-0.076577, 0.368007, 0.629535, -0.039422, 0.678851, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251586, 0.598449, -0.463962, -0.594444, 0.099696, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.760562, -0.311666, -0.211430, 0.251203, 0.465408, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537942, -0.082855, 0.584552, -0.388975, -0.459077, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.251006, 0.634373, 0.044961, 0.656261, -0.319165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.329479, 1.351872, 1.450249, 1.562468, 19.494011], [3.990023, 4.495478, 4.735414, 4.858334, 41.192947], [12.736887, 13.287987, 13.654338, 14.139522, 73.873954], [9.178385, 9.269393, 9.478071, 9.988994, 101.795623], [3.889874, 4.643454, 4.931516, 5.005748, 18.938281]]
### 8
mean: [-0.786740]
std: [0.812692]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.893522, 13.118572, 13.930724, 14.197212, 70.806610]]
## 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": -0.06710170209407806, "std": 1.1696829795837402, "pca": [0.19642262160778046, 0.16825267672538757, -0.49759823083877563, 0.8225613236427307, 0.09432946890592575, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [18.158008466094362, 18.21908448439968, 20.126576974773066, 21.858214877160624, 25.56284290044766]}, "1": {"mean": 1.5548285245895386, "std": 1.327125072479248, "pca": [-0.4670323133468628, -0.4051211178302765, -0.005370148457586765, 0.10176926106214523, 0.7793406844139099, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [20.991438357917822, 21.086426989911843, 24.494207660305072, 26.881375500194505, 139.9345562160015]}, "2": {"mean": 1.3478949069976807, "std": 1.3352159261703491, "pca": [-0.38868752121925354, -0.5480905771255493, 0.23327535390853882, 0.41140466928482056, -0.569953978061676, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.918517660673217, 23.67257702948042, 24.474906000807614, 25.365657055734196, 121.31054459512234]}, "3": {"mean": -2.897770404815674, "std": 1.9967814683914185, "pca": [0.741605818271637, -0.4295288324356079, 0.4463858902454376, 0.1574489325284958, 0.2036547064781189, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.237828368314126, 31.64293363208457, 38.75478409566636, 39.98710139445432, 260.7993108481169]}, "4": {"mean": 1.4786179065704346, "std": 1.2739020586013794, "pca": [-0.20552800595760345, 0.5680401921272278, 0.7061794400215149, 0.3449520170688629, 0.1319366991519928, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [19.494000685305387, 19.52829568609194, 21.065171517880593, 22.91670202629449, 133.07561004161835]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.20098194479942322, "std": 0.6495654582977295, "pca": [0.5774197578430176, -0.015611449256539345, -0.3559429347515106, 0.5006046891212463, -0.5376265048980713, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [10.207032012615283, 10.241168809635345, 11.14131702160478, 14.056908228223298, 18.08837467804551]}, "1": {"mean": 0.21989941596984863, "std": 0.8735053539276123, "pca": [0.7918926477432251, 0.011917401105165482, 0.2289392650127411, -0.1707017421722412, 0.5396404266357422, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [14.392752571336702, 15.425515048030766, 15.837436447903153, 17.852630915490817, 19.79094610363245]}, "2": {"mean": -0.14511506259441376, "std": 0.336639404296875, "pca": [-0.010670340619981289, 0.16754435002803802, 0.8758681416511536, 0.3848026394844055, -0.23790112137794495, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [5.4751803086464905, 5.5220732406343584, 5.97817959846056, 6.5745789802978525, 13.060355082154274]}, "3": {"mean": 1.457114338874817, "std": 0.8304337859153748, "pca": [0.07063803821802139, 0.9235323667526245, -0.08785607665777206, -0.31553587317466736, -0.18659214675426483, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.176558582222825, 13.25778223300217, 14.072390102758243, 15.404022883765052, 131.1403083205223]}, 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3.723137876120959, 4.604966656522955, 4.867754797690917, 4.909562839302906]}, "2": {"mean": 0.16152706742286682, "std": 0.4689539968967438, "pca": [0.40703073143959045, -0.5422248840332031, -0.1160547286272049, -0.001345817930996418, 0.7258427143096924, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.1747549733528, 8.307827761543004, 8.622677873015599, 9.070728583814017, 14.537437051534653]}, "3": {"mean": 0.42481672763824463, "std": 0.5716104507446289, "pca": [0.5334585905075073, -0.3927402198314667, 0.49171918630599976, -0.23416763544082642, -0.5143489241600037, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.559568114547803, 10.542893578663922, 10.603848084515304, 11.15059632103797, 38.23350337147713]}, "4": {"mean": 0.9571489691734314, "std": 0.6746280789375305, "pca": [0.6435412168502808, 0.33534401655197144, -0.31698113679885864, 0.5893521904945374, -0.15995638072490692, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.829892949985659, 10.945500352563572, 12.223772317877224, 12.908684118602684, 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[12.736887235980861, 13.287987226941596, 13.654338426788529, 14.139522181556687, 73.87395431101322]}, "3": {"mean": 1.131062388420105, "std": 0.5564332008361816, "pca": [0.5379419326782227, -0.0828554555773735, 0.5845515131950378, -0.38897502422332764, -0.45907673239707947, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.178384793171723, 9.269392734721738, 9.478070658455989, 9.988993809778018, 101.79562282562256]}, "4": {"mean": 0.21042531728744507, "std": 0.2630186080932617, "pca": [0.2510063648223877, 0.6343733072280884, 0.04496107995510101, 0.6562607884407043, -0.3191654682159424, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [3.8898742743923154, 4.64345425057396, 4.931515730276738, 5.005747752361775, 18.938280642032623]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -0.7867401242256165, "std": 0.8126915693283081, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.893521885542944, 13.11857150021937, 13.930724455391287, 14.197211943884287, 70.80661015212536]}}, "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": [[-0.313102, 0.303432, -0.032287, 0.05896, -0.43037], [0.272429, 0.254497, 0.376486, -0.019504, 0.102172], [0.36755, -0.13957, 0.513852, 0.21918, -0.209549], [-0.361809, -0.452222, 0.043972, -0.458445, -0.428553], [-0.332943, -0.101116, 0.346675, 0.337345, 0.309446]], "network.0.bias": [0.241414, -0.118568, -0.140127, -0.203664, 0.247971], "network.2.weight": [[0.163724, 0.178674, 0.321216, 0.151116, -0.291204], [-0.239203, 0.262151, 0.395232, 0.222072, -0.324852], [-0.393547, 0.27524, -0.278819, -0.267042, 0.16936], [0.225586, 0.072737, 0.19589, 0.017002, 0.560193], [0.285566, 0.055652, -0.123013, 0.03065, 0.283139]], "network.2.bias": [-0.108813, -0.146251, -0.330143, 0.204032, -0.049481], "network.4.weight": [[0.035065, -0.099925, 0.446329, 0.332338, 0.24727], [-0.153805, 0.327825, 0.446807, -0.24351, -0.067985], [-0.419318, -0.305741, -0.223481, 0.066329, 0.32182], [-0.107186, -0.609103, 0.413049, 0.145485, 0.34844], [-0.536687, -0.280571, -0.21103, 0.614531, 0.075485]], "network.4.bias": [0.340307, 0.297195, 0.181077, 0.366314, 0.320347], "network.6.weight": [[-0.039846, 0.209768, 0.165598, -0.064603, -0.07676], [-0.216447, 0.255032, -0.180107, 0.403849, 0.426722], [0.402271, -0.396661, 0.49704, 0.526674, 0.559903], [0.238827, -0.035542, 0.178867, 0.532062, 0.429447], [-0.078567, -0.194447, -0.12355, 0.484431, 0.203384]], "network.6.bias": [-0.131631, 0.100892, -0.219943, 0.357518, -0.074111], "network.8.weight": [[0.01571, -0.217039, -0.490609, -0.572788, -0.401311]], "network.8.bias": [0.295223]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7080250978469849, "train_acc": 0.43, "val_loss": 0.6880396008491516, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6905880868434906, "train_acc": 0.535, "val_loss": 0.6772360801696777, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6724037230014801, "train_acc": 0.57, "val_loss": 0.6634222269058228, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6494797766208649, "train_acc": 0.57, "val_loss": 0.644788384437561, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6349134743213654, "train_acc": 0.505, "val_loss": 0.5973703265190125, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5893130302429199, "train_acc": 0.515, "val_loss": 0.5397123694419861, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5228494703769684, "train_acc": 0.745, "val_loss": 0.4727555811405182, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.46627505123615265, "train_acc": 0.915, "val_loss": 0.4075753688812256, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4065171182155609, "train_acc": 0.91, "val_loss": 0.3545278310775757, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.36773841083049774, "train_acc": 0.92, "val_loss": 0.3182325065135956, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3232417404651642, "train_acc": 0.91, "val_loss": 0.29555630683898926, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.31364892423152924, "train_acc": 0.915, "val_loss": 0.27865755558013916, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3144567161798477, "train_acc": 0.92, "val_loss": 0.2661185562610626, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2869075983762741, "train_acc": 0.93, "val_loss": 0.25644081830978394, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6880396008491516, "final_val_loss": 0.644788384437561, "initial_val_acc": 0.56, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5973703265190125, "final_val_loss": 0.25644081830978394, "initial_val_acc": 0.48, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 7}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
9,914
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6178, "learning_rate": 0.03712320551473469, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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1.199422
],
[
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[
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],
[
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],
[
0.42189,
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1.171306
]
],
"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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],
[
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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.bias": [
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]
}
## Activation Signature
### 0
mean: [3.150001, -0.390705, 0.453993, 0.008973, 1.945639]
std: [2.804463, 1.161243, 2.132805, 1.662310, 2.408393]
pca: [[0.697428, -0.242866, 0.602304, 0.186608, 0.238784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.008423, 0.224050, -0.164449, 0.957167, -0.080736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367568, 0.526485, 0.732840, -0.019477, -0.224220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.177322, 0.661051, -0.176218, -0.124712, 0.696392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589045, 0.420288, -0.205134, -0.181868, -0.633425, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.713133, 46.984634, 52.184208, 58.380088, 283.500071], [18.737217, 18.892644, 19.336356, 22.833194, 35.163422], [32.357910, 33.823984, 34.065834, 35.308654, 40.859364], [23.090684, 27.438297, 29.154291, 29.725040, 37.113013], [38.336137, 38.918751, 50.044319, 54.317433, 175.107512]]
### 2
mean: [1.181038, 0.960065, -0.645871, 2.358997, -1.929846]
std: [1.802163, 1.571985, 1.436872, 2.827231, 1.552593]
pca: [[0.455347, 0.014927, 0.383968, -0.146934, 0.789567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385507, -0.201364, 0.508786, 0.658861, -0.343330, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105484, 0.879667, -0.041149, 0.438309, 0.145780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.704354, 0.357970, -0.135097, -0.420098, -0.425452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369868, 0.239320, 0.757470, -0.419184, -0.237587, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.552057, 29.368493, 30.476757, 43.259397, 106.293394], [24.675992, 24.854413, 27.927266, 35.308512, 86.405871], [22.516863, 23.589843, 24.913104, 25.092670, 58.128383], [40.907250, 41.564581, 53.000359, 68.551004, 212.309766], [23.940916, 25.080236, 28.935839, 33.937492, 173.686097]]
### 4
mean: [3.386471, 3.280443, -1.128422, 2.770529, -0.284887]
std: [3.961003, 4.161033, 1.107176, 3.568107, 0.923791]
pca: [[0.574986, -0.166700, 0.388837, 0.037944, 0.699262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604196, -0.057267, -0.477578, 0.572222, -0.275951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158843, 0.255050, 0.667387, 0.646667, -0.214788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.516123, 0.507028, 0.259458, -0.481035, -0.421696, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112808, 0.804241, -0.328633, 0.146797, 0.459262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.746535, 59.156650, 75.265487, 96.139017, 304.782419], [57.281191, 62.021610, 80.266667, 100.896664, 295.239945], [16.038655, 16.759388, 20.398778, 26.411846, 101.558009], [52.036186, 52.167777, 70.737144, 86.295907, 249.347649], [13.330123, 13.914918, 18.508665, 19.501567, 25.639831]]
### 6
mean: [3.960223, 4.384652, -1.044992, 3.549268, 6.071819]
std: [5.383531, 5.845694, 1.205295, 4.730502, 8.042212]
pca: [[0.436732, 0.673490, 0.194635, -0.100804, -0.554647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.474619, -0.515699, -0.022472, 0.608800, -0.371010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097879, 0.045175, 0.916277, 0.297818, 0.245194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.384067, 0.421955, -0.290410, 0.433689, 0.634053, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.653387, -0.316828, 0.194194, -0.585166, 0.304262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.476622, 80.815020, 100.710279, 130.338939, 356.420052], [82.584336, 86.173008, 114.566643, 141.535477, 394.618676], [17.267883, 17.826810, 23.116090, 29.243771, 94.049318], [64.936604, 70.824070, 89.069764, 114.597364, 319.434186], [112.650975, 119.118583, 156.198265, 194.898576, 546.463758]]
### 8
mean: [-9.727369]
std: [13.664029]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.107161, 203.037097, 263.376064, 330.646569, 875.463271]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.198441,
0.269937,
0.265649,
0.515346,
1.199422
],
[
0.420497,
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-0.099188,
0.332409,
-0.124446
],
[
0.703558,
0.125604,
0.091409,
0.126642,
-0.96097
],
[
0.739763,
-0.099435,
-0.318611,
-0.19114,
0.358919
],
[
0.42189,
-0.063877,
-0.063093,
-0.141363,
1.171306
]
],
"network.0.bias": [
-0.234264,
-0.084762,
0.072255,
-0.097663,
0.52735
],
"network.2.weight": [
[
0.138269,
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-0.425518,
-0.075994,
0.575657
],
[
0.164571,
0.165625,
-0.457465,
-0.284207,
0.448594
],
[
-0.463052,
-0.433692,
0.241832,
0.673243,
0.267145
],
[
0.219731,
-0.191834,
-0.448727,
0.308848,
0.862568
],
[
-0.398314,
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0.049856,
0.305488,
-0.271537
]
],
"network.2.bias": [
0.095394,
0.136432,
-0.272989,
0.226849,
-0.245661
],
"network.4.weight": [
[
0.413025,
0.431713,
0.181537,
0.937273,
0.522646
],
[
0.896506,
0.470207,
0.455218,
0.689097,
0.080899
],
[
-0.560627,
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-0.036241,
0.006569,
0.120698
],
[
0.602034,
0.266334,
0.715424,
0.747063,
-0.023633
],
[
0.195375,
-0.176734,
0.636771,
-0.322614,
-0.268528
]
],
"network.4.bias": [
0.124261,
-0.133879,
-0.312395,
-0.274212,
0.215884
],
"network.6.weight": [
[
0.440777,
0.843472,
-0.231921,
0.024088,
-0.601843
],
[
0.156238,
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0.548752,
0.810885,
0.126439
],
[
-0.417468,
0.293519,
0.382623,
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0.015273
],
[
0.419974,
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],
[
0.470326,
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]
],
"network.6.bias": [
-0.266605,
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0.007929,
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],
"network.8.weight": [
[
-0.239913,
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0.207097,
-0.517782,
-0.783249
]
],
"network.8.bias": [
0.610979
]
}
## Activation Signature
### 0
mean: [3.150001, -0.390705, 0.453993, 0.008973, 1.945639]
std: [2.804463, 1.161243, 2.132805, 1.662310, 2.408393]
pca: [[0.697428, -0.242866, 0.602304, 0.186608, 0.238784, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.008423, 0.224050, -0.164449, 0.957167, -0.080736, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.367568, 0.526485, 0.732840, -0.019477, -0.224220, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.177322, 0.661051, -0.176218, -0.124712, 0.696392, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.589045, 0.420288, -0.205134, -0.181868, -0.633425, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.713133, 46.984634, 52.184208, 58.380088, 283.500071], [18.737217, 18.892644, 19.336356, 22.833194, 35.163422], [32.357910, 33.823984, 34.065834, 35.308654, 40.859364], [23.090684, 27.438297, 29.154291, 29.725040, 37.113013], [38.336137, 38.918751, 50.044319, 54.317433, 175.107512]]
### 2
mean: [1.181038, 0.960065, -0.645871, 2.358997, -1.929846]
std: [1.802163, 1.571985, 1.436872, 2.827231, 1.552593]
pca: [[0.455347, 0.014927, 0.383968, -0.146934, 0.789567, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385507, -0.201364, 0.508786, 0.658861, -0.343330, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105484, 0.879667, -0.041149, 0.438309, 0.145780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.704354, 0.357970, -0.135097, -0.420098, -0.425452, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369868, 0.239320, 0.757470, -0.419184, -0.237587, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.552057, 29.368493, 30.476757, 43.259397, 106.293394], [24.675992, 24.854413, 27.927266, 35.308512, 86.405871], [22.516863, 23.589843, 24.913104, 25.092670, 58.128383], [40.907250, 41.564581, 53.000359, 68.551004, 212.309766], [23.940916, 25.080236, 28.935839, 33.937492, 173.686097]]
### 4
mean: [3.386471, 3.280443, -1.128422, 2.770529, -0.284887]
std: [3.961003, 4.161033, 1.107176, 3.568107, 0.923791]
pca: [[0.574986, -0.166700, 0.388837, 0.037944, 0.699262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.604196, -0.057267, -0.477578, 0.572222, -0.275951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.158843, 0.255050, 0.667387, 0.646667, -0.214788, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.516123, 0.507028, 0.259458, -0.481035, -0.421696, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.112808, 0.804241, -0.328633, 0.146797, 0.459262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.746535, 59.156650, 75.265487, 96.139017, 304.782419], [57.281191, 62.021610, 80.266667, 100.896664, 295.239945], [16.038655, 16.759388, 20.398778, 26.411846, 101.558009], [52.036186, 52.167777, 70.737144, 86.295907, 249.347649], [13.330123, 13.914918, 18.508665, 19.501567, 25.639831]]
### 6
mean: [3.960223, 4.384652, -1.044992, 3.549268, 6.071819]
std: [5.383531, 5.845694, 1.205295, 4.730502, 8.042212]
pca: [[0.436732, 0.673490, 0.194635, -0.100804, -0.554647, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.474619, -0.515699, -0.022472, 0.608800, -0.371010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.097879, 0.045175, 0.916277, 0.297818, 0.245194, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.384067, 0.421955, -0.290410, 0.433689, 0.634053, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.653387, -0.316828, 0.194194, -0.585166, 0.304262, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.476622, 80.815020, 100.710279, 130.338939, 356.420052], [82.584336, 86.173008, 114.566643, 141.535477, 394.618676], [17.267883, 17.826810, 23.116090, 29.243771, 94.049318], [64.936604, 70.824070, 89.069764, 114.597364, 319.434186], [112.650975, 119.118583, 156.198265, 194.898576, 546.463758]]
### 8
mean: [-9.727369]
std: [13.664029]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[189.107161, 203.037097, 263.376064, 330.646569, 875.463271]]
## 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": 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": [[-0.198441, 0.269937, 0.265649, 0.515346, 1.199422], [0.420497, -0.648321, -0.099188, 0.332409, -0.124446], [0.703558, 0.125604, 0.091409, 0.126642, -0.96097], [0.739763, -0.099435, -0.318611, -0.19114, 0.358919], [0.42189, -0.063877, -0.063093, -0.141363, 1.171306]], "network.0.bias": [-0.234264, -0.084762, 0.072255, -0.097663, 0.52735], "network.2.weight": [[0.138269, -0.11893, -0.425518, -0.075994, 0.575657], [0.164571, 0.165625, -0.457465, -0.284207, 0.448594], [-0.463052, -0.433692, 0.241832, 0.673243, 0.267145], [0.219731, -0.191834, -0.448727, 0.308848, 0.862568], [-0.398314, -0.428797, 0.049856, 0.305488, -0.271537]], "network.2.bias": [0.095394, 0.136432, -0.272989, 0.226849, -0.245661], "network.4.weight": [[0.413025, 0.431713, 0.181537, 0.937273, 0.522646], [0.896506, 0.470207, 0.455218, 0.689097, 0.080899], [-0.560627, -0.106801, -0.036241, 0.006569, 0.120698], [0.602034, 0.266334, 0.715424, 0.747063, -0.023633], [0.195375, -0.176734, 0.636771, -0.322614, -0.268528]], "network.4.bias": [0.124261, -0.133879, -0.312395, -0.274212, 0.215884], "network.6.weight": [[0.440777, 0.843472, -0.231921, 0.024088, -0.601843], [0.156238, 0.566679, 0.548752, 0.810885, 0.126439], [-0.417468, 0.293519, 0.382623, -0.217548, 0.015273], [0.419974, 0.553509, -0.092184, 0.206772, -0.476635], [0.470326, 0.830191, 0.152432, 0.77028, 0.047242]], "network.6.bias": [-0.266605, -0.284744, 0.007929, -0.18491, -0.400011], "network.8.weight": [[-0.239913, -0.627189, 0.207097, -0.517782, -0.783249]], "network.8.bias": [0.610979]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.676958292722702, "train_acc": 0.57, "val_loss": 0.6733119487762451, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6526242792606354, "train_acc": 0.57, "val_loss": 0.641802191734314, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5905093252658844, "train_acc": 0.57, "val_loss": 0.5653356909751892, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5720095038414001, "train_acc": 0.515, "val_loss": 0.503300666809082, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.49887970089912415, "train_acc": 0.63, "val_loss": 0.4786975085735321, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.47961007058620453, "train_acc": 0.87, "val_loss": 0.44250205159187317, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.47410984337329865, "train_acc": 0.805, "val_loss": 0.42036810517311096, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4100441336631775, "train_acc": 0.87, "val_loss": 0.3834015727043152, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3916304409503937, "train_acc": 0.88, "val_loss": 0.356954425573349, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3454573452472687, "train_acc": 0.905, "val_loss": 0.35636961460113525, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3428362309932709, "train_acc": 0.895, "val_loss": 0.31882259249687195, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3324590027332306, "train_acc": 0.925, "val_loss": 0.3086574375629425, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.31635597348213196, "train_acc": 0.945, "val_loss": 0.2854689657688141, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6733119487762451, "final_val_loss": 0.5653356909751892, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.503300666809082, "final_val_loss": 0.2854689657688141, "initial_val_acc": 0.44, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 12}, "improvement": 0.54, "first_improvement_epoch": 2}}
|
9,915
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4027, "learning_rate": 0.06408049728035953, "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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0.610709,
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],
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[
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0.334253,
-0.068559,
0.245535,
-0.487748
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[
-0.681267,
-0.347377,
0.469849,
0.21182,
0.340328
],
[
-0.431694,
-0.104182,
-0.233239,
-0.307375,
-0.143882
],
[
-0.255838,
-0.917407,
0.356231,
0.250937,
0.048154
]
],
"network.0.bias": [
0.344829,
0.166405,
0.230421,
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0.218255,
0.357004
],
"network.2.weight": [
[
-0.42482,
-0.607518,
-0.568725,
0.433299,
-0.03608,
-0.482176
],
[
0.830119,
0.279882,
0.660588,
0.451154,
0.271893,
0.670833
],
[
0.271377,
0.068362,
0.571629,
0.105793,
-0.150859,
0.845879
],
[
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0.144348,
0.051126,
0.371088,
0.31612
],
[
0.538297,
0.520295,
0.079293,
0.457511,
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0.184001
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[
0.796782,
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-0.285889,
0.811748
]
],
"network.2.bias": [
0.776094,
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0.166433
],
"network.4.weight": [
[
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0.674159
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[
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0.275047,
0.794723,
0.423706,
0.837979
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[
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0.634112,
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0.029256
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[
0.155689,
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0.438524,
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],
[
0.083477,
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0.023707,
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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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1.0304,
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],
"network.8.bias": [
0.182647,
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-0.041078
],
"network.10.weight": [
[
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],
[
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0.676039
],
[
0.105314,
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0.081067
],
[
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1.047043
],
[
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],
[
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]
],
"network.10.bias": [
0.563378,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.501783
]
}
## Activation Signature
### 0
mean: [0.228111, -0.490072, 0.045247, 0.522808, -1.832619, -0.291452]
std: [1.621136, 2.002035, 1.576076, 1.781470, 1.454027, 1.792764]
pca: [[0.265944, 0.579021, -0.446339, 0.132420, -0.600335, -0.129813, 0.000000, 0.000000, 0.000000, 0.000000], [0.580717, -0.204483, 0.405374, -0.377356, -0.212422, -0.518754, 0.000000, 0.000000, 0.000000, 0.000000], [0.096038, 0.724183, 0.144250, -0.264378, 0.601205, -0.119095, 0.000000, 0.000000, 0.000000, 0.000000], [0.535238, -0.113236, -0.251317, -0.385050, 0.079537, 0.694944, 0.000000, 0.000000, 0.000000, 0.000000], [0.249548, 0.212702, 0.663891, 0.526662, -0.146292, 0.391098, 0.000000, 0.000000, 0.000000, 0.000000], [0.483801, -0.201036, -0.334266, 0.586971, 0.453099, -0.252891, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.354718, 22.522005, 24.223497, 27.831387, 30.841842], [31.924532, 34.129168, 34.264707, 37.691631, 44.106489], [23.922237, 24.389219, 24.992794, 27.641744, 34.603167], [28.939523, 29.772246, 30.946093, 32.917235, 47.052702], [23.799448, 24.123139, 25.332102, 30.473671, 164.935753], [25.734342, 26.230700, 31.833580, 34.907725, 40.941033]]
### 2
mean: [-0.048938, 1.872785, 1.034358, 0.792346, 1.647984, 2.691378]
std: [0.710859, 1.727473, 1.029104, 0.953646, 1.169783, 2.211438]
pca: [[-0.173224, 0.370255, 0.631800, 0.626415, 0.196430, -0.052461, 0.000000, 0.000000, 0.000000, 0.000000], [0.518073, -0.357746, 0.068660, 0.034888, 0.756361, -0.160012, 0.000000, 0.000000, 0.000000, 0.000000], [0.295536, -0.307100, -0.322269, 0.704944, -0.270570, 0.379917, 0.000000, 0.000000, 0.000000, 0.000000], [0.246694, -0.500034, 0.653751, -0.153747, -0.478225, -0.096848, 0.000000, 0.000000, 0.000000, 0.000000], [0.344019, 0.330002, 0.230497, -0.291308, 0.080645, 0.792626, 0.000000, 0.000000, 0.000000, 0.000000], [0.659579, 0.530738, -0.108339, 0.030691, -0.284468, -0.435513, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.323706, 10.473781, 11.734718, 12.478214, 13.156360], [23.787837, 27.377656, 28.013345, 34.992334, 168.550619], [13.399745, 14.487905, 15.365274, 22.050092, 93.092211], [14.606789, 14.665456, 14.933905, 15.275798, 71.311162], [17.334139, 21.560369, 22.396372, 23.614404, 148.318531], [33.208090, 41.769762, 42.357124, 43.499454, 242.224061]]
### 4
mean: [4.521399, 4.331439, -0.051574, 1.007850, -0.644848, 1.946998]
std: [4.044406, 3.941880, 0.813968, 1.104139, 0.409123, 1.994254]
pca: [[0.662131, -0.050017, -0.144336, -0.527127, -0.327162, 0.391600, 0.000000, 0.000000, 0.000000, 0.000000], [0.644409, -0.272412, 0.352701, 0.359218, 0.498123, -0.094691, 0.000000, 0.000000, 0.000000, 0.000000], [0.110949, 0.577258, -0.537231, 0.038117, 0.565306, 0.211713, 0.000000, 0.000000, 0.000000, 0.000000], [0.156032, 0.721955, 0.544124, -0.193898, -0.114829, -0.327996, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059936, 0.222476, 0.295098, 0.516597, -0.243407, 0.730554, 0.000000, 0.000000, 0.000000, 0.000000], [0.325685, 0.139099, -0.427782, 0.535890, -0.502827, -0.389319, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.036166, 70.801985, 72.147032, 81.817253, 406.925988], [52.729244, 70.666018, 73.385208, 77.780800, 389.829564], [11.091725, 11.459603, 11.577713, 14.134310, 15.376081], [16.999535, 17.116031, 17.255365, 19.832625, 90.706470], [6.931010, 7.695876, 7.718666, 8.026938, 58.036363], [26.750814, 33.274211, 35.092474, 40.627016, 175.229807]]
### 6
mean: [-2.705779, 1.310394, 10.752065, -2.430166, -0.026215, 1.027751]
std: [2.170854, 0.518119, 9.397694, 1.618415, 0.990292, 1.043810]
pca: [[-0.217259, 0.613338, -0.375614, 0.518217, 0.216119, 0.346804, 0.000000, 0.000000, 0.000000, 0.000000], [0.050667, 0.180833, 0.881527, 0.424238, 0.085160, -0.020306, 0.000000, 0.000000, 0.000000, 0.000000], [0.950633, 0.223689, -0.136764, 0.044997, 0.128224, -0.095337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163203, 0.249424, 0.082986, -0.432576, 0.791740, -0.300485, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093865, 0.675949, 0.069954, -0.328385, -0.549997, -0.345044, 0.000000, 0.000000, 0.000000, 0.000000], [0.105269, 0.148190, 0.226583, -0.504469, -0.015824, 0.812944, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.661882, 32.536729, 34.054083, 44.365920, 243.520074], [7.205219, 9.785631, 9.844460, 10.784191, 117.935494], [125.417688, 163.452185, 164.796529, 189.056142, 967.685775], [21.830681, 25.702057, 26.675188, 32.976348, 218.714967], [13.216481, 13.450007, 13.583562, 15.061899, 19.866055], [13.480944, 18.684393, 19.577142, 20.758621, 92.497556]]
### 8
mean: [-0.335882, 3.282925, -2.549147, 6.414962, 6.429986, 9.997365]
std: [0.985182, 3.058440, 2.143582, 5.810267, 5.897656, 9.749664]
pca: [[-0.073618, -0.150037, 0.896579, -0.069748, -0.096007, -0.392599, 0.000000, 0.000000, 0.000000, 0.000000], [0.228891, -0.365437, 0.128237, -0.476097, 0.691264, 0.305132, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160405, 0.331866, 0.331117, -0.214973, -0.323820, 0.776803, 0.000000, 0.000000, 0.000000, 0.000000], [0.434883, -0.232776, 0.213422, 0.768013, 0.071885, 0.340781, 0.000000, 0.000000, 0.000000, 0.000000], [0.441403, -0.529788, -0.135784, -0.323223, -0.633324, 0.021905, 0.000000, 0.000000, 0.000000, 0.000000], [0.729726, 0.631625, 0.077956, -0.167141, 0.042557, -0.180903, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.180571, 16.629195, 16.692596, 19.899663, 30.229376], [41.284297, 53.045358, 53.154434, 61.529277, 295.463226], [29.085451, 37.123902, 37.142129, 43.083379, 229.423209], [77.743086, 100.955817, 101.633697, 116.869718, 577.346596], [79.443438, 102.222918, 102.502360, 118.668972, 578.698739], [129.402319, 168.752826, 170.186090, 196.488275, 899.762848]]
### 10
mean: [-4.360868, 13.903636, -3.356604, 16.949539, 16.607346, 6.626391]
std: [4.764943, 12.905982, 2.842405, 15.913810, 15.608046, 6.265531]
pca: [[-0.175908, 0.764026, -0.308121, -0.175100, 0.316309, 0.399588, 0.000000, 0.000000, 0.000000, 0.000000], [0.476545, 0.309152, -0.506689, -0.070561, -0.499549, -0.407514, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104922, 0.454971, 0.693035, -0.327492, -0.131980, -0.420745, 0.000000, 0.000000, 0.000000, 0.000000], [0.587610, 0.139116, 0.399748, 0.188219, -0.277126, 0.602775, 0.000000, 0.000000, 0.000000, 0.000000], [0.576321, -0.181041, 0.007209, -0.539145, 0.579891, -0.089864, 0.000000, 0.000000, 0.000000, 0.000000], [0.231349, 0.248116, 0.090442, 0.728702, 0.468944, -0.354714, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.626562, 82.536808, 83.032560, 96.143572, 392.478070], [174.418559, 222.452487, 223.462259, 259.270571, 1251.327334], [38.118653, 49.394104, 49.754541, 57.219740, 302.094392], [214.657461, 274.414879, 275.477131, 319.921481, 1525.458530], [210.443311, 269.500995, 270.245124, 313.883006, 1494.661204], [84.542949, 108.006662, 108.514258, 125.815828, 596.375282]]
### 12
mean: [-27.260933]
std: [26.082163]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[351.914460, 450.453172, 451.783849, 524.594281, 2453.484217]]
## 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": [
[
-0.315061,
-0.230045,
-0.234891,
0.610709,
-0.100881
],
[
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[
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0.245535,
-0.487748
],
[
-0.681267,
-0.347377,
0.469849,
0.21182,
0.340328
],
[
-0.431694,
-0.104182,
-0.233239,
-0.307375,
-0.143882
],
[
-0.255838,
-0.917407,
0.356231,
0.250937,
0.048154
]
],
"network.0.bias": [
0.344829,
0.166405,
0.230421,
0.148171,
0.218255,
0.357004
],
"network.2.weight": [
[
-0.42482,
-0.607518,
-0.568725,
0.433299,
-0.03608,
-0.482176
],
[
0.830119,
0.279882,
0.660588,
0.451154,
0.271893,
0.670833
],
[
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0.068362,
0.571629,
0.105793,
-0.150859,
0.845879
],
[
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0.051126,
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0.31612
],
[
0.538297,
0.520295,
0.079293,
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0.184001
],
[
0.796782,
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0.439539,
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-0.285889,
0.811748
]
],
"network.2.bias": [
0.776094,
-0.153907,
-0.140256,
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0.366329,
0.166433
],
"network.4.weight": [
[
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0.444458,
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],
[
-0.780663,
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0.423706,
0.837979
],
[
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0.634112,
0.079552,
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0.029256
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[
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0.445882,
0.458311,
0.438524,
-0.168096,
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],
[
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0.10687,
-0.009897,
0.023707,
0.173847,
-0.343112
],
[
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0.255845,
0.056816,
-0.228679,
0.360402
]
],
"network.4.bias": [
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0.022402
],
"network.6.weight": [
[
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[
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[
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[
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0.169836
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],
"network.6.bias": [
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0.159247,
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0.883453,
-0.178659
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"network.8.weight": [
[
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0.078335,
0.22739,
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],
[
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0.615422,
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[
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[
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[
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0.178995
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[
0.112301,
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1.0304,
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0.1879
]
],
"network.8.bias": [
0.182647,
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-0.126271,
-0.041078
],
"network.10.weight": [
[
0.511865,
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0.14804,
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],
[
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0.676039
],
[
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[
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],
[
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],
[
0.202305,
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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],
"network.12.bias": [
0.501783
]
}
## Activation Signature
### 0
mean: [0.228111, -0.490072, 0.045247, 0.522808, -1.832619, -0.291452]
std: [1.621136, 2.002035, 1.576076, 1.781470, 1.454027, 1.792764]
pca: [[0.265944, 0.579021, -0.446339, 0.132420, -0.600335, -0.129813, 0.000000, 0.000000, 0.000000, 0.000000], [0.580717, -0.204483, 0.405374, -0.377356, -0.212422, -0.518754, 0.000000, 0.000000, 0.000000, 0.000000], [0.096038, 0.724183, 0.144250, -0.264378, 0.601205, -0.119095, 0.000000, 0.000000, 0.000000, 0.000000], [0.535238, -0.113236, -0.251317, -0.385050, 0.079537, 0.694944, 0.000000, 0.000000, 0.000000, 0.000000], [0.249548, 0.212702, 0.663891, 0.526662, -0.146292, 0.391098, 0.000000, 0.000000, 0.000000, 0.000000], [0.483801, -0.201036, -0.334266, 0.586971, 0.453099, -0.252891, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.354718, 22.522005, 24.223497, 27.831387, 30.841842], [31.924532, 34.129168, 34.264707, 37.691631, 44.106489], [23.922237, 24.389219, 24.992794, 27.641744, 34.603167], [28.939523, 29.772246, 30.946093, 32.917235, 47.052702], [23.799448, 24.123139, 25.332102, 30.473671, 164.935753], [25.734342, 26.230700, 31.833580, 34.907725, 40.941033]]
### 2
mean: [-0.048938, 1.872785, 1.034358, 0.792346, 1.647984, 2.691378]
std: [0.710859, 1.727473, 1.029104, 0.953646, 1.169783, 2.211438]
pca: [[-0.173224, 0.370255, 0.631800, 0.626415, 0.196430, -0.052461, 0.000000, 0.000000, 0.000000, 0.000000], [0.518073, -0.357746, 0.068660, 0.034888, 0.756361, -0.160012, 0.000000, 0.000000, 0.000000, 0.000000], [0.295536, -0.307100, -0.322269, 0.704944, -0.270570, 0.379917, 0.000000, 0.000000, 0.000000, 0.000000], [0.246694, -0.500034, 0.653751, -0.153747, -0.478225, -0.096848, 0.000000, 0.000000, 0.000000, 0.000000], [0.344019, 0.330002, 0.230497, -0.291308, 0.080645, 0.792626, 0.000000, 0.000000, 0.000000, 0.000000], [0.659579, 0.530738, -0.108339, 0.030691, -0.284468, -0.435513, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.323706, 10.473781, 11.734718, 12.478214, 13.156360], [23.787837, 27.377656, 28.013345, 34.992334, 168.550619], [13.399745, 14.487905, 15.365274, 22.050092, 93.092211], [14.606789, 14.665456, 14.933905, 15.275798, 71.311162], [17.334139, 21.560369, 22.396372, 23.614404, 148.318531], [33.208090, 41.769762, 42.357124, 43.499454, 242.224061]]
### 4
mean: [4.521399, 4.331439, -0.051574, 1.007850, -0.644848, 1.946998]
std: [4.044406, 3.941880, 0.813968, 1.104139, 0.409123, 1.994254]
pca: [[0.662131, -0.050017, -0.144336, -0.527127, -0.327162, 0.391600, 0.000000, 0.000000, 0.000000, 0.000000], [0.644409, -0.272412, 0.352701, 0.359218, 0.498123, -0.094691, 0.000000, 0.000000, 0.000000, 0.000000], [0.110949, 0.577258, -0.537231, 0.038117, 0.565306, 0.211713, 0.000000, 0.000000, 0.000000, 0.000000], [0.156032, 0.721955, 0.544124, -0.193898, -0.114829, -0.327996, 0.000000, 0.000000, 0.000000, 0.000000], [-0.059936, 0.222476, 0.295098, 0.516597, -0.243407, 0.730554, 0.000000, 0.000000, 0.000000, 0.000000], [0.325685, 0.139099, -0.427782, 0.535890, -0.502827, -0.389319, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[53.036166, 70.801985, 72.147032, 81.817253, 406.925988], [52.729244, 70.666018, 73.385208, 77.780800, 389.829564], [11.091725, 11.459603, 11.577713, 14.134310, 15.376081], [16.999535, 17.116031, 17.255365, 19.832625, 90.706470], [6.931010, 7.695876, 7.718666, 8.026938, 58.036363], [26.750814, 33.274211, 35.092474, 40.627016, 175.229807]]
### 6
mean: [-2.705779, 1.310394, 10.752065, -2.430166, -0.026215, 1.027751]
std: [2.170854, 0.518119, 9.397694, 1.618415, 0.990292, 1.043810]
pca: [[-0.217259, 0.613338, -0.375614, 0.518217, 0.216119, 0.346804, 0.000000, 0.000000, 0.000000, 0.000000], [0.050667, 0.180833, 0.881527, 0.424238, 0.085160, -0.020306, 0.000000, 0.000000, 0.000000, 0.000000], [0.950633, 0.223689, -0.136764, 0.044997, 0.128224, -0.095337, 0.000000, 0.000000, 0.000000, 0.000000], [-0.163203, 0.249424, 0.082986, -0.432576, 0.791740, -0.300485, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093865, 0.675949, 0.069954, -0.328385, -0.549997, -0.345044, 0.000000, 0.000000, 0.000000, 0.000000], [0.105269, 0.148190, 0.226583, -0.504469, -0.015824, 0.812944, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.661882, 32.536729, 34.054083, 44.365920, 243.520074], [7.205219, 9.785631, 9.844460, 10.784191, 117.935494], [125.417688, 163.452185, 164.796529, 189.056142, 967.685775], [21.830681, 25.702057, 26.675188, 32.976348, 218.714967], [13.216481, 13.450007, 13.583562, 15.061899, 19.866055], [13.480944, 18.684393, 19.577142, 20.758621, 92.497556]]
### 8
mean: [-0.335882, 3.282925, -2.549147, 6.414962, 6.429986, 9.997365]
std: [0.985182, 3.058440, 2.143582, 5.810267, 5.897656, 9.749664]
pca: [[-0.073618, -0.150037, 0.896579, -0.069748, -0.096007, -0.392599, 0.000000, 0.000000, 0.000000, 0.000000], [0.228891, -0.365437, 0.128237, -0.476097, 0.691264, 0.305132, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160405, 0.331866, 0.331117, -0.214973, -0.323820, 0.776803, 0.000000, 0.000000, 0.000000, 0.000000], [0.434883, -0.232776, 0.213422, 0.768013, 0.071885, 0.340781, 0.000000, 0.000000, 0.000000, 0.000000], [0.441403, -0.529788, -0.135784, -0.323223, -0.633324, 0.021905, 0.000000, 0.000000, 0.000000, 0.000000], [0.729726, 0.631625, 0.077956, -0.167141, 0.042557, -0.180903, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.180571, 16.629195, 16.692596, 19.899663, 30.229376], [41.284297, 53.045358, 53.154434, 61.529277, 295.463226], [29.085451, 37.123902, 37.142129, 43.083379, 229.423209], [77.743086, 100.955817, 101.633697, 116.869718, 577.346596], [79.443438, 102.222918, 102.502360, 118.668972, 578.698739], [129.402319, 168.752826, 170.186090, 196.488275, 899.762848]]
### 10
mean: [-4.360868, 13.903636, -3.356604, 16.949539, 16.607346, 6.626391]
std: [4.764943, 12.905982, 2.842405, 15.913810, 15.608046, 6.265531]
pca: [[-0.175908, 0.764026, -0.308121, -0.175100, 0.316309, 0.399588, 0.000000, 0.000000, 0.000000, 0.000000], [0.476545, 0.309152, -0.506689, -0.070561, -0.499549, -0.407514, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104922, 0.454971, 0.693035, -0.327492, -0.131980, -0.420745, 0.000000, 0.000000, 0.000000, 0.000000], [0.587610, 0.139116, 0.399748, 0.188219, -0.277126, 0.602775, 0.000000, 0.000000, 0.000000, 0.000000], [0.576321, -0.181041, 0.007209, -0.539145, 0.579891, -0.089864, 0.000000, 0.000000, 0.000000, 0.000000], [0.231349, 0.248116, 0.090442, 0.728702, 0.468944, -0.354714, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.626562, 82.536808, 83.032560, 96.143572, 392.478070], [174.418559, 222.452487, 223.462259, 259.270571, 1251.327334], [38.118653, 49.394104, 49.754541, 57.219740, 302.094392], [214.657461, 274.414879, 275.477131, 319.921481, 1525.458530], [210.443311, 269.500995, 270.245124, 313.883006, 1494.661204], [84.542949, 108.006662, 108.514258, 125.815828, 596.375282]]
### 12
mean: [-27.260933]
std: [26.082163]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[351.914460, 450.453172, 451.783849, 524.594281, 2453.484217]]
## 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": [[-0.315061, -0.230045, -0.234891, 0.610709, -0.100881], [-0.928288, -0.115845, 0.354442, -0.279498, 0.461188], [-0.462876, 0.334253, -0.068559, 0.245535, -0.487748], [-0.681267, -0.347377, 0.469849, 0.21182, 0.340328], [-0.431694, -0.104182, -0.233239, -0.307375, -0.143882], [-0.255838, -0.917407, 0.356231, 0.250937, 0.048154]], "network.0.bias": [0.344829, 0.166405, 0.230421, 0.148171, 0.218255, 0.357004], "network.2.weight": [[-0.42482, -0.607518, -0.568725, 0.433299, -0.03608, -0.482176], [0.830119, 0.279882, 0.660588, 0.451154, 0.271893, 0.670833], [0.271377, 0.068362, 0.571629, 0.105793, -0.150859, 0.845879], [0.739073, -0.032236, 0.144348, 0.051126, 0.371088, 0.31612], [0.538297, 0.520295, 0.079293, 0.457511, -0.116526, 0.184001], [0.796782, 0.981906, 0.439539, 0.702694, -0.285889, 0.811748]], "network.2.bias": [0.776094, -0.153907, -0.140256, -0.097785, 0.366329, 0.166433], "network.4.weight": [[-0.676638, 0.630884, 0.694774, 0.444458, 0.33739, 0.674159], [-0.780663, 0.357455, 0.275047, 0.794723, 0.423706, 0.837979], [-0.41999, 0.249566, 0.634112, 0.079552, -0.517256, 0.029256], [0.155689, 0.445882, 0.458311, 0.438524, -0.168096, -0.17367], [0.083477, 0.10687, -0.009897, 0.023707, 0.173847, -0.343112], [-0.62907, 0.619175, 0.255845, 0.056816, -0.228679, 0.360402]], "network.4.bias": [0.029624, -0.03804, -0.38025, 0.024325, -0.240923, 0.022402], "network.6.weight": [[-0.210879, 0.034812, -0.396972, -0.353746, 0.150313, -0.49768], [0.53807, -0.247752, -0.64158, 0.23706, -0.249915, -0.34699], [1.056063, 0.969783, 0.387177, 0.193525, -0.305401, 0.581214], [-0.174405, -0.148238, -0.399152, -0.141206, 0.258221, -0.024172], [0.0919, -0.082375, -0.714076, -0.275143, 0.072076, -0.222258], [0.200195, 0.003945, -0.252189, 0.0107, 0.356003, 0.169836]], "network.6.bias": [-0.389983, 0.616959, 0.159247, -0.658508, 0.883453, -0.178659], "network.8.weight": [[-0.136526, 0.542543, -0.084274, 0.078335, 0.22739, -0.390916], [-0.140978, -0.133849, 0.348472, 0.615422, 0.209767, -0.083735], [-0.175847, 0.29842, -0.218082, -0.019395, -0.144753, -0.287482], [0.015246, -0.285164, 0.592764, 0.463091, -0.011773, 0.377659], [0.110065, -0.459795, 0.640089, -0.145171, 0.214719, 0.178995], [0.112301, -0.714618, 1.0304, 0.041844, -0.753463, 0.1879]], "network.8.bias": [0.182647, -0.28409, -0.231904, 0.019072, -0.126271, -0.041078], "network.10.weight": [[0.511865, 0.000456, 0.14804, -0.090444, -0.355019, -0.213818], [0.299792, -0.003044, 0.400055, 0.473623, 0.644318, 0.676039], [0.105314, -0.273567, -0.122224, -0.377254, -0.098171, 0.081067], [-0.019056, 0.41698, 0.370264, 0.517431, 0.281017, 1.047043], [-0.149702, 0.487865, -0.365827, 0.445264, 0.53113, 0.879415], [0.202305, -0.056156, 0.066001, 0.515819, -0.087287, 0.419439]], "network.10.bias": [0.563378, -0.243473, -0.244108, -0.224195, -0.212696, -0.259533], "network.12.weight": [[0.52413, -0.314006, -0.130745, -0.510829, -0.746495, -0.35598]], "network.12.bias": [0.501783]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6862475872039795, "train_acc": 0.57, "val_loss": 0.6811807155609131, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6655119061470032, "train_acc": 0.57, "val_loss": 0.606504499912262, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6032357811927795, "train_acc": 0.49, "val_loss": 0.38064420223236084, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45560477674007416, "train_acc": 0.67, "val_loss": 0.3245696723461151, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.37669819593429565, "train_acc": 0.94, "val_loss": 0.2690061628818512, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3170655369758606, "train_acc": 0.935, "val_loss": 0.23683059215545654, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.28190813958644867, "train_acc": 0.94, "val_loss": 0.14602047204971313, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23373977839946747, "train_acc": 0.94, "val_loss": 0.09344278275966644, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20634342730045319, "train_acc": 0.945, "val_loss": 0.047956280410289764, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.17324425280094147, "train_acc": 0.95, "val_loss": 0.02356872707605362, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1833004653453827, "train_acc": 0.95, "val_loss": 0.016924871131777763, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1575765125453472, "train_acc": 0.95, "val_loss": 0.018954895436763763, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6811807155609131, "final_val_loss": 0.606504499912262, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.38064420223236084, "final_val_loss": 0.018954895436763763, "initial_val_acc": 0.54, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 6}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
9,916
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.68, "improvement": 0.22000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3622, "learning_rate": 0.07471257671437936, "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: 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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[
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"network.8.bias": [
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"network.10.weight": [
[
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0.17007,
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [0.338013, -0.567084, 0.769317, -0.953344, -0.813715, 1.643941, -0.171500, 0.084343]
std: [1.333934, 1.996179, 2.047334, 1.450565, 0.967188, 2.131984, 1.507017, 1.077200]
pca: [[0.119596, 0.460253, -0.106047, 0.015829, 0.451957, 0.501600, 0.542842, 0.108732, 0.000000, 0.000000], [-0.097184, 0.701605, 0.273209, 0.199505, 0.220600, -0.425009, -0.257302, -0.297253, 0.000000, 0.000000], [0.626862, -0.041196, 0.298422, 0.008075, -0.010830, -0.499127, 0.348739, 0.381264, 0.000000, 0.000000], [-0.272034, -0.374563, 0.276202, 0.251280, 0.693698, -0.026509, -0.199600, 0.352860, 0.000000, 0.000000], [0.090987, -0.108246, 0.291121, 0.826221, -0.293785, 0.270377, 0.136512, -0.185911, 0.000000, 0.000000], [0.650796, -0.178416, 0.083665, -0.139340, 0.311873, 0.257549, -0.377010, -0.460959, 0.000000, 0.000000], [-0.261756, -0.130269, 0.720941, -0.418475, -0.051011, 0.101822, 0.331793, -0.310775, 0.000000, 0.000000], [0.094670, 0.305621, 0.370487, -0.139867, -0.282062, 0.410039, -0.454753, 0.535088, 0.000000, 0.000000]]
fourier: [[18.982455, 20.330837, 25.361288, 30.421175, 33.783420], [34.565229, 36.633473, 37.216953, 39.806800, 51.037584], [31.922455, 32.305956, 34.166167, 42.741623, 69.238505], [22.279523, 22.536037, 23.209367, 31.068897, 85.800952], [13.619008, 13.726482, 13.919768, 18.490257, 73.234377], [33.898358, 34.204890, 35.993590, 43.805394, 147.954647], [22.224941, 23.375750, 25.754615, 25.879762, 27.278621], [14.630579, 15.781490, 16.506338, 18.634112, 21.639911]]
### 2
mean: [1.510396, -0.775612, 1.798283, -0.346311, 0.406064, -1.935963, -1.019577, -0.355454]
std: [1.322310, 0.457734, 1.419738, 0.532968, 1.548573, 1.964611, 0.795273, 1.086822]
pca: [[-0.404316, -0.208534, -0.037850, -0.086486, 0.182784, 0.352771, 0.664164, 0.430301, 0.000000, 0.000000], [0.095309, 0.228316, 0.235887, -0.346782, 0.258501, -0.003692, -0.433156, 0.713040, 0.000000, 0.000000], [-0.417342, -0.363227, 0.065871, 0.382392, 0.436127, 0.286853, -0.504700, -0.126948, 0.000000, 0.000000], [0.033031, 0.359609, 0.361424, -0.407996, 0.198687, 0.554098, 0.057255, -0.471935, 0.000000, 0.000000], [-0.382377, 0.738516, -0.145314, 0.433409, -0.236353, 0.156328, -0.053375, 0.127566, 0.000000, 0.000000], [0.605146, 0.000217, -0.534055, 0.201447, 0.139484, 0.521154, -0.032593, 0.126023, 0.000000, 0.000000], [0.216357, 0.273116, 0.162845, 0.351328, 0.696733, -0.372156, 0.317822, -0.060824, 0.000000, 0.000000], [0.304885, -0.152099, 0.689281, 0.455766, -0.330649, 0.227352, 0.091323, 0.178107, 0.000000, 0.000000]]
fourier: [[19.949017, 21.431982, 23.931731, 24.123954, 135.935598], [6.155284, 6.290947, 6.362042, 12.783150, 69.805105], [23.565407, 23.745752, 24.604345, 25.561949, 161.845438], [7.943313, 8.890224, 9.448207, 13.645698, 31.167967], [26.536191, 28.873202, 29.895372, 30.478260, 36.545799], [31.475609, 32.555589, 32.564137, 39.414763, 174.236693], [11.718058, 12.609259, 13.889696, 15.211078, 91.761919], [17.543863, 18.237897, 19.583700, 20.866157, 31.990835]]
### 4
mean: [-1.000262, -2.118265, -1.224635, -0.299308, 2.315841, 1.851866, -1.038268, 2.247955]
std: [0.611468, 1.658654, 0.768050, 0.363769, 2.406049, 1.783560, 0.752648, 2.211524]
pca: [[-0.139877, 0.237470, 0.601784, -0.213246, -0.384050, 0.480932, -0.331207, 0.167142, 0.000000, 0.000000], [-0.385804, 0.621343, -0.037584, -0.383699, 0.257561, -0.361971, 0.125209, 0.321579, 0.000000, 0.000000], [-0.173711, 0.516903, 0.111743, 0.640761, -0.139202, -0.168367, -0.087554, -0.473482, 0.000000, 0.000000], [-0.083605, 0.117641, -0.178253, 0.537113, 0.306776, 0.489648, 0.089390, 0.563071, 0.000000, 0.000000], [0.564926, 0.307135, 0.335344, -0.111282, 0.302195, 0.220696, 0.527520, -0.208283, 0.000000, 0.000000], [0.419005, -0.059213, 0.408009, 0.215361, 0.256939, -0.480454, -0.437891, 0.345651, 0.000000, 0.000000], [-0.176840, -0.030728, -0.020237, -0.163768, 0.685764, 0.273225, -0.481404, -0.404820, 0.000000, 0.000000], [0.518117, 0.421581, -0.559326, -0.150507, -0.212290, 0.124035, -0.396475, 0.026093, 0.000000, 0.000000]]
fourier: [[9.711252, 9.712759, 11.057860, 11.152013, 90.023552], [27.257056, 27.495238, 29.442392, 29.826854, 190.643845], [12.311835, 13.216626, 13.226053, 14.670423, 110.217163], [6.354602, 6.369947, 6.471268, 6.692208, 26.937715], [36.862722, 40.585276, 43.942678, 44.679042, 208.425712], [27.023891, 29.982277, 32.633383, 32.651500, 166.667881], [10.794830, 12.961493, 13.879551, 14.023309, 93.444120], [34.412386, 37.389398, 40.740964, 41.292744, 202.315979]]
### 6
mean: [3.187465, -0.563001, 0.389386, -0.316494, 2.410053, -1.034857, -1.055885, -2.207778]
std: [3.335466, 0.122232, 0.681040, 0.565027, 2.703658, 1.596721, 0.606856, 2.001397]
pca: [[0.652590, 0.036099, -0.124493, 0.479590, -0.077588, -0.290038, -0.485932, -0.032334, 0.000000, 0.000000], [0.023279, 0.101903, 0.087698, -0.488540, 0.627782, -0.281699, -0.373961, -0.359722, 0.000000, 0.000000], [0.132710, 0.354124, -0.022155, -0.312617, -0.428045, 0.592102, -0.363085, -0.305167, 0.000000, 0.000000], [-0.109983, 0.230210, 0.637799, -0.198838, -0.406246, -0.440404, -0.183138, 0.309923, 0.000000, 0.000000], [0.528670, 0.554023, 0.000705, -0.176574, 0.102357, -0.076985, 0.603457, 0.042712, 0.000000, 0.000000], [-0.312247, 0.217133, -0.538169, -0.043964, -0.380044, -0.519117, 0.086908, -0.377263, 0.000000, 0.000000], [-0.118187, 0.289852, -0.493605, -0.182099, 0.145850, 0.040488, -0.285915, 0.721494, 0.000000, 0.000000], [-0.391047, 0.609763, 0.190421, 0.572525, 0.274644, 0.122207, -0.072061, -0.125180, 0.000000, 0.000000]]
fourier: [[50.054817, 55.732136, 61.379294, 62.145864, 286.871848], [1.919445, 2.041853, 2.075326, 2.368363, 50.670068], [10.340312, 10.945054, 12.348539, 12.519784, 35.044736], [8.774486, 10.164182, 10.472968, 10.870034, 28.484493], [40.063612, 44.524665, 49.454310, 50.324571, 216.904808], [24.630551, 26.215821, 29.152366, 29.958112, 93.137144], [9.643916, 9.851649, 10.904560, 11.374805, 95.029669], [31.350023, 33.559493, 36.994327, 37.402192, 198.699997]]
### 8
mean: [1.214862, 2.306187, 0.430365, 2.289945, -0.143961, -2.467395, -3.143522, -1.278271]
std: [1.851636, 2.535605, 0.036345, 2.507224, 0.336397, 2.377368, 3.166824, 0.942411]
pca: [[-0.323045, 0.478144, -0.259873, -0.538445, -0.051695, -0.293061, -0.459717, 0.098318, 0.000000, 0.000000], [-0.442709, 0.061663, 0.214722, -0.372604, 0.519600, 0.109127, 0.574531, 0.057345, 0.000000, 0.000000], [-0.002900, 0.140911, 0.612894, 0.049706, 0.319826, 0.405774, -0.571026, -0.094941, 0.000000, 0.000000], [-0.437665, 0.330910, 0.406602, 0.275036, -0.520153, -0.168878, 0.191065, -0.349848, 0.000000, 0.000000], [-0.057632, 0.418270, -0.333784, 0.598483, 0.537705, -0.191020, -0.010208, -0.162526, 0.000000, 0.000000], [0.414883, 0.491526, 0.313812, 0.060219, -0.065012, -0.149508, 0.211779, 0.642448, 0.000000, 0.000000], [0.552914, 0.132058, 0.171556, -0.343516, 0.140912, -0.340111, 0.123556, -0.615317, 0.000000, 0.000000], [0.164101, 0.451920, -0.325691, -0.115395, -0.203189, 0.731107, 0.189148, -0.194598, 0.000000, 0.000000]]
fourier: [[27.595036, 31.307415, 34.195205, 34.940108, 109.337595], [38.326907, 41.662334, 46.599360, 47.185383, 207.556813], [0.557516, 0.565119, 0.646755, 0.683335, 38.732811], [37.115254, 41.381138, 46.367321, 46.639155, 206.095084], [5.179359, 5.959103, 6.258108, 6.898574, 12.956449], [37.233667, 38.274066, 42.547800, 44.681775, 222.065591], [48.336108, 51.739651, 57.766919, 59.125364, 282.916958], [14.631656, 15.083491, 16.261894, 17.718285, 115.044415]]
### 10
mean: [-1.510694]
std: [2.049584]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.240565, 33.665071, 37.970012, 38.041376, 135.962443]]
## 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: 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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0.315875,
-0.391978,
0.20522,
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[
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0.399125,
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[
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0.386222,
-0.30055,
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],
[
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[
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[
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[
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[
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-0.571442
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],
"network.0.bias": [
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0.001341,
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[
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[
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],
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[
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[
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0.398814,
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0.351154
]
],
"network.2.bias": [
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[
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0.41372,
0.1231,
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[
0.004437,
0.068866,
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0.62643,
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[
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0.466019,
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0.217434,
0.002229
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[
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[
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0.361766,
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0.015465,
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0.8297,
0.193801,
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],
"network.4.bias": [
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"network.6.weight": [
[
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0.016959,
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]
],
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"network.8.weight": [
[
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[
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0.198284,
0.270826
],
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0.133504,
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],
[
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0.323304,
-0.332907,
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],
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[
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-0.262313,
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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: [0.338013, -0.567084, 0.769317, -0.953344, -0.813715, 1.643941, -0.171500, 0.084343]
std: [1.333934, 1.996179, 2.047334, 1.450565, 0.967188, 2.131984, 1.507017, 1.077200]
pca: [[0.119596, 0.460253, -0.106047, 0.015829, 0.451957, 0.501600, 0.542842, 0.108732, 0.000000, 0.000000], [-0.097184, 0.701605, 0.273209, 0.199505, 0.220600, -0.425009, -0.257302, -0.297253, 0.000000, 0.000000], [0.626862, -0.041196, 0.298422, 0.008075, -0.010830, -0.499127, 0.348739, 0.381264, 0.000000, 0.000000], [-0.272034, -0.374563, 0.276202, 0.251280, 0.693698, -0.026509, -0.199600, 0.352860, 0.000000, 0.000000], [0.090987, -0.108246, 0.291121, 0.826221, -0.293785, 0.270377, 0.136512, -0.185911, 0.000000, 0.000000], [0.650796, -0.178416, 0.083665, -0.139340, 0.311873, 0.257549, -0.377010, -0.460959, 0.000000, 0.000000], [-0.261756, -0.130269, 0.720941, -0.418475, -0.051011, 0.101822, 0.331793, -0.310775, 0.000000, 0.000000], [0.094670, 0.305621, 0.370487, -0.139867, -0.282062, 0.410039, -0.454753, 0.535088, 0.000000, 0.000000]]
fourier: [[18.982455, 20.330837, 25.361288, 30.421175, 33.783420], [34.565229, 36.633473, 37.216953, 39.806800, 51.037584], [31.922455, 32.305956, 34.166167, 42.741623, 69.238505], [22.279523, 22.536037, 23.209367, 31.068897, 85.800952], [13.619008, 13.726482, 13.919768, 18.490257, 73.234377], [33.898358, 34.204890, 35.993590, 43.805394, 147.954647], [22.224941, 23.375750, 25.754615, 25.879762, 27.278621], [14.630579, 15.781490, 16.506338, 18.634112, 21.639911]]
### 2
mean: [1.510396, -0.775612, 1.798283, -0.346311, 0.406064, -1.935963, -1.019577, -0.355454]
std: [1.322310, 0.457734, 1.419738, 0.532968, 1.548573, 1.964611, 0.795273, 1.086822]
pca: [[-0.404316, -0.208534, -0.037850, -0.086486, 0.182784, 0.352771, 0.664164, 0.430301, 0.000000, 0.000000], [0.095309, 0.228316, 0.235887, -0.346782, 0.258501, -0.003692, -0.433156, 0.713040, 0.000000, 0.000000], [-0.417342, -0.363227, 0.065871, 0.382392, 0.436127, 0.286853, -0.504700, -0.126948, 0.000000, 0.000000], [0.033031, 0.359609, 0.361424, -0.407996, 0.198687, 0.554098, 0.057255, -0.471935, 0.000000, 0.000000], [-0.382377, 0.738516, -0.145314, 0.433409, -0.236353, 0.156328, -0.053375, 0.127566, 0.000000, 0.000000], [0.605146, 0.000217, -0.534055, 0.201447, 0.139484, 0.521154, -0.032593, 0.126023, 0.000000, 0.000000], [0.216357, 0.273116, 0.162845, 0.351328, 0.696733, -0.372156, 0.317822, -0.060824, 0.000000, 0.000000], [0.304885, -0.152099, 0.689281, 0.455766, -0.330649, 0.227352, 0.091323, 0.178107, 0.000000, 0.000000]]
fourier: [[19.949017, 21.431982, 23.931731, 24.123954, 135.935598], [6.155284, 6.290947, 6.362042, 12.783150, 69.805105], [23.565407, 23.745752, 24.604345, 25.561949, 161.845438], [7.943313, 8.890224, 9.448207, 13.645698, 31.167967], [26.536191, 28.873202, 29.895372, 30.478260, 36.545799], [31.475609, 32.555589, 32.564137, 39.414763, 174.236693], [11.718058, 12.609259, 13.889696, 15.211078, 91.761919], [17.543863, 18.237897, 19.583700, 20.866157, 31.990835]]
### 4
mean: [-1.000262, -2.118265, -1.224635, -0.299308, 2.315841, 1.851866, -1.038268, 2.247955]
std: [0.611468, 1.658654, 0.768050, 0.363769, 2.406049, 1.783560, 0.752648, 2.211524]
pca: [[-0.139877, 0.237470, 0.601784, -0.213246, -0.384050, 0.480932, -0.331207, 0.167142, 0.000000, 0.000000], [-0.385804, 0.621343, -0.037584, -0.383699, 0.257561, -0.361971, 0.125209, 0.321579, 0.000000, 0.000000], [-0.173711, 0.516903, 0.111743, 0.640761, -0.139202, -0.168367, -0.087554, -0.473482, 0.000000, 0.000000], [-0.083605, 0.117641, -0.178253, 0.537113, 0.306776, 0.489648, 0.089390, 0.563071, 0.000000, 0.000000], [0.564926, 0.307135, 0.335344, -0.111282, 0.302195, 0.220696, 0.527520, -0.208283, 0.000000, 0.000000], [0.419005, -0.059213, 0.408009, 0.215361, 0.256939, -0.480454, -0.437891, 0.345651, 0.000000, 0.000000], [-0.176840, -0.030728, -0.020237, -0.163768, 0.685764, 0.273225, -0.481404, -0.404820, 0.000000, 0.000000], [0.518117, 0.421581, -0.559326, -0.150507, -0.212290, 0.124035, -0.396475, 0.026093, 0.000000, 0.000000]]
fourier: [[9.711252, 9.712759, 11.057860, 11.152013, 90.023552], [27.257056, 27.495238, 29.442392, 29.826854, 190.643845], [12.311835, 13.216626, 13.226053, 14.670423, 110.217163], [6.354602, 6.369947, 6.471268, 6.692208, 26.937715], [36.862722, 40.585276, 43.942678, 44.679042, 208.425712], [27.023891, 29.982277, 32.633383, 32.651500, 166.667881], [10.794830, 12.961493, 13.879551, 14.023309, 93.444120], [34.412386, 37.389398, 40.740964, 41.292744, 202.315979]]
### 6
mean: [3.187465, -0.563001, 0.389386, -0.316494, 2.410053, -1.034857, -1.055885, -2.207778]
std: [3.335466, 0.122232, 0.681040, 0.565027, 2.703658, 1.596721, 0.606856, 2.001397]
pca: [[0.652590, 0.036099, -0.124493, 0.479590, -0.077588, -0.290038, -0.485932, -0.032334, 0.000000, 0.000000], [0.023279, 0.101903, 0.087698, -0.488540, 0.627782, -0.281699, -0.373961, -0.359722, 0.000000, 0.000000], [0.132710, 0.354124, -0.022155, -0.312617, -0.428045, 0.592102, -0.363085, -0.305167, 0.000000, 0.000000], [-0.109983, 0.230210, 0.637799, -0.198838, -0.406246, -0.440404, -0.183138, 0.309923, 0.000000, 0.000000], [0.528670, 0.554023, 0.000705, -0.176574, 0.102357, -0.076985, 0.603457, 0.042712, 0.000000, 0.000000], [-0.312247, 0.217133, -0.538169, -0.043964, -0.380044, -0.519117, 0.086908, -0.377263, 0.000000, 0.000000], [-0.118187, 0.289852, -0.493605, -0.182099, 0.145850, 0.040488, -0.285915, 0.721494, 0.000000, 0.000000], [-0.391047, 0.609763, 0.190421, 0.572525, 0.274644, 0.122207, -0.072061, -0.125180, 0.000000, 0.000000]]
fourier: [[50.054817, 55.732136, 61.379294, 62.145864, 286.871848], [1.919445, 2.041853, 2.075326, 2.368363, 50.670068], [10.340312, 10.945054, 12.348539, 12.519784, 35.044736], [8.774486, 10.164182, 10.472968, 10.870034, 28.484493], [40.063612, 44.524665, 49.454310, 50.324571, 216.904808], [24.630551, 26.215821, 29.152366, 29.958112, 93.137144], [9.643916, 9.851649, 10.904560, 11.374805, 95.029669], [31.350023, 33.559493, 36.994327, 37.402192, 198.699997]]
### 8
mean: [1.214862, 2.306187, 0.430365, 2.289945, -0.143961, -2.467395, -3.143522, -1.278271]
std: [1.851636, 2.535605, 0.036345, 2.507224, 0.336397, 2.377368, 3.166824, 0.942411]
pca: [[-0.323045, 0.478144, -0.259873, -0.538445, -0.051695, -0.293061, -0.459717, 0.098318, 0.000000, 0.000000], [-0.442709, 0.061663, 0.214722, -0.372604, 0.519600, 0.109127, 0.574531, 0.057345, 0.000000, 0.000000], [-0.002900, 0.140911, 0.612894, 0.049706, 0.319826, 0.405774, -0.571026, -0.094941, 0.000000, 0.000000], [-0.437665, 0.330910, 0.406602, 0.275036, -0.520153, -0.168878, 0.191065, -0.349848, 0.000000, 0.000000], [-0.057632, 0.418270, -0.333784, 0.598483, 0.537705, -0.191020, -0.010208, -0.162526, 0.000000, 0.000000], [0.414883, 0.491526, 0.313812, 0.060219, -0.065012, -0.149508, 0.211779, 0.642448, 0.000000, 0.000000], [0.552914, 0.132058, 0.171556, -0.343516, 0.140912, -0.340111, 0.123556, -0.615317, 0.000000, 0.000000], [0.164101, 0.451920, -0.325691, -0.115395, -0.203189, 0.731107, 0.189148, -0.194598, 0.000000, 0.000000]]
fourier: [[27.595036, 31.307415, 34.195205, 34.940108, 109.337595], [38.326907, 41.662334, 46.599360, 47.185383, 207.556813], [0.557516, 0.565119, 0.646755, 0.683335, 38.732811], [37.115254, 41.381138, 46.367321, 46.639155, 206.095084], [5.179359, 5.959103, 6.258108, 6.898574, 12.956449], [37.233667, 38.274066, 42.547800, 44.681775, 222.065591], [48.336108, 51.739651, 57.766919, 59.125364, 282.916958], [14.631656, 15.083491, 16.261894, 17.718285, 115.044415]]
### 10
mean: [-1.510694]
std: [2.049584]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.240565, 33.665071, 37.970012, 38.041376, 135.962443]]
## 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": 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": [[0.207832, 0.315875, -0.391978, 0.20522, -0.405224], [-0.118052, 0.193004, -0.41805, 0.399125, -0.774815], [0.629693, 0.283655, 0.386222, -0.30055, -0.478261], [-0.588417, -0.120153, 0.323735, -0.289269, 0.362103], [0.009239, -0.09375, 0.118415, -0.369371, -0.203351], [0.672051, 0.347728, 0.382314, -0.37281, -0.199127], [-0.591055, -0.232262, 0.590766, 0.145209, -0.143169], [0.070421, 0.052239, 0.072341, 0.219768, -0.571442]], "network.0.bias": [0.382274, 0.201091, -0.103589, -0.504666, 0.14116, 0.420421, -0.381593, -0.016097], "network.2.weight": [[0.112862, 0.489524, 0.493625, -0.186744, -0.0592, 0.250181, -0.211759, 0.135979], [-0.286038, 0.083886, 0.04947, 0.316541, 0.001341, -0.0949, 0.096269, -0.349199], [0.222372, 0.410069, 0.178717, -0.46457, 0.271164, 0.47187, -0.101772, 0.575384], [-0.389061, 0.050712, 0.276139, 0.486735, 0.497367, -0.156434, 0.009362, -0.319876], [-0.191929, -0.762359, 0.676926, -0.030233, 0.15275, 0.069291, -0.277038, 0.014598], [-0.44487, -0.254804, -0.474553, -0.096135, -0.075793, -0.559655, -0.092963, 0.031805], [-0.398166, -0.059464, 0.12954, -0.200654, -0.076354, -0.338475, 0.317775, -0.451859], [0.072969, -0.154131, -0.342374, 0.306956, 0.398814, -0.240468, 0.471091, 0.351154]], "network.2.bias": [0.33105, -0.468928, 0.387621, -0.086177, 0.060465, -0.040364, -0.260366, 0.114547], "network.4.weight": [[-0.20953, 0.201281, -0.182281, 0.025054, -0.073742, -0.062867, -0.156319, -0.43907], [-0.307818, -0.166348, -0.743651, 0.306349, -0.166952, 0.41372, 0.1231, -0.1407], [0.004437, 0.068866, -0.455388, 0.62643, -0.078069, -0.257871, -0.026591, -0.30782], [0.048923, 0.466019, -0.214039, 0.277738, -0.087992, -0.556584, 0.217434, 0.002229], [0.737361, -0.506783, 0.428974, -0.140775, 0.699231, 0.211088, -0.021952, -0.251497], [0.494773, -0.453702, 0.483271, -0.091968, 0.361766, 0.276865, 0.015465, -0.205904], [-0.192872, 0.31253, -0.210009, -0.082732, -0.192019, -0.060906, 0.437555, 0.029619], [0.480516, -0.213561, 0.46034, -0.00985, 0.8297, 0.193801, 0.010983, 0.118455]], "network.4.bias": [-0.279366, -0.23667, -0.343313, 0.118373, 0.020304, 0.051134, -0.191212, 0.17305], "network.6.weight": [[0.113991, 0.400893, 0.137252, -0.197004, 0.726688, 0.288425, -0.045427, 0.437287], [0.067222, 0.326303, 0.40853, -0.145561, 0.077973, -0.017536, 0.504278, -0.048575], [0.055288, 0.2639, 0.173704, 0.269288, 0.034197, 0.42719, -0.249998, -0.080748], [0.270995, -0.082692, 0.012304, 0.66698, 0.100986, 0.091218, -0.121135, -0.414616], [0.453981, 0.750907, 0.546746, -0.086874, 0.600302, 0.580171, 0.002978, 0.037875], [-0.310413, -0.525418, -0.250383, -0.332306, -0.754344, 0.289238, 0.026285, -0.10888], [-0.026361, 0.065609, -0.031556, -0.456144, -0.408277, 0.27052, 0.155961, -0.058713], [0.100562, -0.209838, 0.165997, -0.262347, -0.107651, 0.016959, -0.322556, -0.781772]], "network.6.bias": [0.141238, -0.469547, -0.232384, 0.255092, 0.127589, 0.250878, -0.506955, -0.346831], "network.8.weight": [[0.499814, 0.32687, -0.289263, -0.184401, 0.10634, -0.115596, 0.201222, 0.21511], [0.415517, -0.037945, 0.223593, -0.060853, 0.35278, 0.059201, 0.198284, 0.270826], [-0.112439, -0.059487, 0.076726, -0.054319, 0.133504, -0.170079, -0.645837, 0.095214], [0.441789, -0.246675, 0.167632, 0.162677, 0.323304, -0.332907, -0.034743, 0.47056], [0.146991, 0.583524, -0.427321, -0.285527, 0.023618, -0.309995, 0.624756, -0.672719], [-0.421027, 0.127467, -0.293856, -0.262313, -0.298863, -0.524843, 0.026889, 0.063972], [-0.594827, 0.178341, -0.045739, -0.28254, -0.437146, -0.262381, 0.513861, 0.203311], [-0.087007, 0.145373, -0.734772, -0.079931, -0.07825, -0.294723, 0.431314, -0.343164]], "network.8.bias": [-0.395015, 0.140657, 0.349321, 0.094828, -0.391758, -0.317772, -0.132709, -0.502088], "network.10.weight": [[-0.353992, -0.101203, 0.17007, -0.475229, 0.342816, -0.325144, -0.083452, 0.340886]], "network.10.bias": [0.182583]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7055570781230927, "train_acc": 0.475, "val_loss": 0.7096792459487915, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6838940680027008, "train_acc": 0.575, "val_loss": 0.7458606958389282, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6636931300163269, "train_acc": 0.575, "val_loss": 0.6917421221733093, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6142687201499939, "train_acc": 0.575, "val_loss": 0.6285600066184998, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.8963648974895477, "train_acc": 0.51, "val_loss": 0.597565233707428, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5608680546283722, "train_acc": 0.705, "val_loss": 0.6537875533103943, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6398837566375732, "train_acc": 0.62, "val_loss": 0.6654812693595886, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.6686478555202484, "train_acc": 0.59, "val_loss": 0.6624050736427307, "val_acc": 0.6}], "summary": {"total_epochs": 8, "degraded_epochs": 4, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7096792459487915, "final_val_loss": 0.6285600066184998, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.597565233707428, "final_val_loss": 0.6624050736427307, "initial_val_acc": 0.68, "final_val_acc": 0.6, "best_val_acc": 0.68, "best_epoch": 4}, "improvement": 0.22000000000000003, "first_improvement_epoch": 3}}
|
9,917
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.78, "improved_accuracy": 0.96, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6966, "learning_rate": 0.06153825550600364, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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]
],
"network.8.bias": [
0.133078
]
}
## Activation Signature
### 0
mean: [3.023154, -0.597393, -0.393616, 0.536149, -1.158399, 1.056409]
std: [1.903064, 1.965402, 0.889998, 1.907205, 1.288428, 2.106740]
pca: [[-0.263033, -0.281594, 0.761429, 0.504034, -0.126195, -0.042057, 0.000000, 0.000000, 0.000000, 0.000000], [0.209067, 0.782975, 0.201834, 0.164196, -0.415982, 0.320160, 0.000000, 0.000000, 0.000000, 0.000000], [0.014784, 0.247474, -0.231396, 0.665706, 0.662765, 0.050722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.624764, -0.144208, -0.341958, 0.110636, -0.212021, 0.644008, 0.000000, 0.000000, 0.000000, 0.000000], [0.224075, -0.211647, -0.451259, 0.509276, -0.568705, -0.344344, 0.000000, 0.000000, 0.000000, 0.000000], [0.668092, -0.425230, 0.073310, 0.064980, 0.058296, 0.599865, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.750145, 31.797445, 35.380870, 35.608503, 272.083908], [31.331848, 35.005857, 35.688966, 36.579701, 53.765352], [13.191116, 13.464995, 14.501306, 14.742548, 35.425461], [27.877525, 29.684912, 39.816968, 40.318582, 48.253405], [18.427475, 26.417613, 27.655075, 27.806126, 104.255922], [33.176449, 35.122188, 41.441765, 42.374006, 95.076807]]
### 2
mean: [1.997439, 1.408038, 0.914782, -1.460719, -0.471949, 2.146561]
std: [1.465967, 1.187506, 1.912371, 1.094254, 1.585813, 1.883698]
pca: [[0.399971, 0.343293, -0.183906, 0.539811, 0.627488, -0.056691, 0.000000, 0.000000, 0.000000, 0.000000], [0.248884, 0.639323, 0.246759, 0.048013, -0.517616, -0.445197, 0.000000, 0.000000, 0.000000, 0.000000], [0.534821, -0.362769, -0.040908, -0.486081, 0.214379, -0.546314, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204647, 0.012833, 0.885429, -0.036856, 0.407173, -0.082594, 0.000000, 0.000000, 0.000000, 0.000000], [0.406146, -0.539964, 0.297142, 0.566298, -0.355373, 0.090591, 0.000000, 0.000000, 0.000000, 0.000000], [0.534051, 0.223802, 0.177022, -0.384672, -0.017124, 0.696490, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.550819, 23.882656, 24.907046, 29.350640, 179.769488], [19.884642, 19.884737, 21.409528, 22.035184, 126.723415], [31.287736, 31.416514, 31.855416, 34.775068, 82.330346], [18.307344, 18.530166, 21.115752, 25.667897, 131.464687], [25.901528, 26.979076, 29.469930, 32.576236, 42.475365], [30.652575, 31.687978, 36.583703, 36.788860, 193.190473]]
### 4
mean: [3.092919, 2.768878, -1.930884, -1.886793, 3.628931, -1.775678]
std: [2.533014, 3.235998, 2.598260, 2.916727, 3.747061, 1.107179]
pca: [[0.366811, 0.608777, -0.321777, -0.060656, -0.502646, -0.367379, 0.000000, 0.000000, 0.000000, 0.000000], [0.470715, 0.178845, 0.550300, -0.019691, -0.242853, 0.619876, 0.000000, 0.000000, 0.000000, 0.000000], [-0.376827, 0.448072, 0.687887, -0.057943, 0.130091, -0.404677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422992, 0.596378, -0.335251, 0.126189, 0.220424, 0.537129, 0.000000, 0.000000, 0.000000, 0.000000], [0.545284, 0.182933, -0.017444, 0.383069, 0.703878, -0.163434, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160067, -0.086633, 0.087996, 0.910994, -0.356953, -0.042480, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.709066, 41.839491, 47.168760, 50.428984, 278.362703], [53.835385, 54.096691, 62.040479, 63.900232, 249.199006], [44.278064, 44.835952, 50.239370, 50.362548, 173.779557], [49.546480, 49.618539, 56.094575, 56.798243, 169.811411], [62.951351, 63.150896, 72.186609, 74.498482, 326.603820], [17.659605, 18.363265, 19.501161, 22.028631, 159.811023]]
### 6
mean: [-1.540548, 5.498378, -1.107422, -0.922508, -0.656945, -1.127214]
std: [2.609600, 6.108221, 1.586002, 1.801649, 1.325669, 2.275742]
pca: [[-0.346124, 0.394124, 0.260263, 0.794344, -0.161615, -0.005002, 0.000000, 0.000000, 0.000000, 0.000000], [0.810705, 0.532680, 0.037111, 0.080996, 0.013653, 0.225578, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210214, 0.267328, 0.743725, -0.505912, -0.192805, 0.195187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238941, 0.286842, -0.010632, -0.056050, 0.914051, 0.147936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174571, 0.599448, -0.345166, -0.296073, -0.156288, -0.615599, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301990, 0.218717, -0.508434, -0.125336, -0.276777, 0.714244, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.705211, 43.878435, 50.389878, 51.405333, 138.649324], [101.935952, 102.141432, 116.762470, 120.888448, 494.854017], [26.108882, 26.946348, 30.632397, 31.309617, 99.667945], [29.024815, 30.622700, 34.838167, 35.210233, 83.025702], [22.577044, 22.924243, 25.775333, 26.231735, 59.125033], [36.889384, 38.330102, 44.233077, 44.935087, 101.449233]]
### 8
mean: [-3.681137]
std: [5.321692]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.822071, 90.528613, 101.630019, 104.549202, 331.302316]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.291039,
0.238775,
0.496771,
0.530368,
-0.052669
],
[
0.260328,
-0.738005,
0.539079,
-0.391453,
-0.081692
],
[
-0.009093,
0.085267,
-0.078731,
-0.445957,
0.154386
],
[
0.57724,
0.557432,
-0.764693,
-0.059991,
-0.04393
],
[
-0.574253,
0.376208,
-0.204135,
-0.293588,
0.002619
],
[
-1.067129,
0.020922,
0.457553,
0.179694,
0.07552
]
],
"network.0.bias": [
0.115785,
0.237579,
0.392706,
0.582227,
-0.076537,
0.912004
],
"network.2.weight": [
[
0.472364,
0.485149,
0.284249,
0.636425,
0.528392,
-0.048921
],
[
0.33045,
0.842942,
0.233901,
0.409308,
0.208992,
0.180671
],
[
0.312672,
0.387808,
0.276375,
0.865815,
0.380172,
-0.63988
],
[
-0.197104,
0.368025,
-0.06328,
-0.665327,
0.297695,
-0.233553
],
[
0.215589,
0.334701,
-0.398733,
0.371221,
0.195603,
-0.950754
],
[
0.449058,
0.875515,
0.511086,
0.86705,
0.396395,
-0.293431
]
],
"network.2.bias": [
-0.13658,
-0.56522,
-0.035221,
-0.01445,
-0.129738,
0.069423
],
"network.4.weight": [
[
0.700413,
0.459046,
0.26645,
0.559578,
0.300826,
0.163968
],
[
0.400574,
0.458373,
0.549372,
0.403378,
0.201788,
0.577991
],
[
-0.48124,
-0.265627,
-0.473062,
-0.719265,
-0.736673,
-0.110003
],
[
-0.281401,
-0.104981,
-0.528516,
-0.799496,
-0.446194,
-0.581406
],
[
0.581345,
0.444177,
0.344327,
0.149028,
0.685242,
0.697343
],
[
-0.478248,
0.045244,
-0.095207,
0.023058,
-0.049342,
-0.128628
]
],
"network.4.bias": [
0.413022,
-0.479124,
0.35017,
0.712158,
-0.177138,
-0.521744
],
"network.6.weight": [
[
0.063559,
-0.538658,
0.707627,
0.702042,
-0.232255,
-0.426383
],
[
0.442177,
0.639145,
-0.215191,
-0.342613,
0.761448,
-0.149221
],
[
-0.017198,
0.042609,
0.274159,
0.445418,
-0.421654,
-0.057541
],
[
0.111188,
-0.254516,
0.026921,
0.76727,
-0.305126,
-0.084452
],
[
0.458934,
-0.316204,
0.752128,
0.722163,
-0.344919,
-0.568686
],
[
0.245901,
-0.420651,
0.652715,
0.43539,
-0.37735,
-0.623313
]
],
"network.6.bias": [
0.454959,
-0.32592,
0.272133,
0.43962,
-0.091468,
0.526102
],
"network.8.weight": [
[
0.632495,
-0.77866,
0.302731,
0.728755,
0.239838,
0.499238
]
],
"network.8.bias": [
0.133078
]
}
## Activation Signature
### 0
mean: [3.023154, -0.597393, -0.393616, 0.536149, -1.158399, 1.056409]
std: [1.903064, 1.965402, 0.889998, 1.907205, 1.288428, 2.106740]
pca: [[-0.263033, -0.281594, 0.761429, 0.504034, -0.126195, -0.042057, 0.000000, 0.000000, 0.000000, 0.000000], [0.209067, 0.782975, 0.201834, 0.164196, -0.415982, 0.320160, 0.000000, 0.000000, 0.000000, 0.000000], [0.014784, 0.247474, -0.231396, 0.665706, 0.662765, 0.050722, 0.000000, 0.000000, 0.000000, 0.000000], [-0.624764, -0.144208, -0.341958, 0.110636, -0.212021, 0.644008, 0.000000, 0.000000, 0.000000, 0.000000], [0.224075, -0.211647, -0.451259, 0.509276, -0.568705, -0.344344, 0.000000, 0.000000, 0.000000, 0.000000], [0.668092, -0.425230, 0.073310, 0.064980, 0.058296, 0.599865, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.750145, 31.797445, 35.380870, 35.608503, 272.083908], [31.331848, 35.005857, 35.688966, 36.579701, 53.765352], [13.191116, 13.464995, 14.501306, 14.742548, 35.425461], [27.877525, 29.684912, 39.816968, 40.318582, 48.253405], [18.427475, 26.417613, 27.655075, 27.806126, 104.255922], [33.176449, 35.122188, 41.441765, 42.374006, 95.076807]]
### 2
mean: [1.997439, 1.408038, 0.914782, -1.460719, -0.471949, 2.146561]
std: [1.465967, 1.187506, 1.912371, 1.094254, 1.585813, 1.883698]
pca: [[0.399971, 0.343293, -0.183906, 0.539811, 0.627488, -0.056691, 0.000000, 0.000000, 0.000000, 0.000000], [0.248884, 0.639323, 0.246759, 0.048013, -0.517616, -0.445197, 0.000000, 0.000000, 0.000000, 0.000000], [0.534821, -0.362769, -0.040908, -0.486081, 0.214379, -0.546314, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204647, 0.012833, 0.885429, -0.036856, 0.407173, -0.082594, 0.000000, 0.000000, 0.000000, 0.000000], [0.406146, -0.539964, 0.297142, 0.566298, -0.355373, 0.090591, 0.000000, 0.000000, 0.000000, 0.000000], [0.534051, 0.223802, 0.177022, -0.384672, -0.017124, 0.696490, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.550819, 23.882656, 24.907046, 29.350640, 179.769488], [19.884642, 19.884737, 21.409528, 22.035184, 126.723415], [31.287736, 31.416514, 31.855416, 34.775068, 82.330346], [18.307344, 18.530166, 21.115752, 25.667897, 131.464687], [25.901528, 26.979076, 29.469930, 32.576236, 42.475365], [30.652575, 31.687978, 36.583703, 36.788860, 193.190473]]
### 4
mean: [3.092919, 2.768878, -1.930884, -1.886793, 3.628931, -1.775678]
std: [2.533014, 3.235998, 2.598260, 2.916727, 3.747061, 1.107179]
pca: [[0.366811, 0.608777, -0.321777, -0.060656, -0.502646, -0.367379, 0.000000, 0.000000, 0.000000, 0.000000], [0.470715, 0.178845, 0.550300, -0.019691, -0.242853, 0.619876, 0.000000, 0.000000, 0.000000, 0.000000], [-0.376827, 0.448072, 0.687887, -0.057943, 0.130091, -0.404677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422992, 0.596378, -0.335251, 0.126189, 0.220424, 0.537129, 0.000000, 0.000000, 0.000000, 0.000000], [0.545284, 0.182933, -0.017444, 0.383069, 0.703878, -0.163434, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160067, -0.086633, 0.087996, 0.910994, -0.356953, -0.042480, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.709066, 41.839491, 47.168760, 50.428984, 278.362703], [53.835385, 54.096691, 62.040479, 63.900232, 249.199006], [44.278064, 44.835952, 50.239370, 50.362548, 173.779557], [49.546480, 49.618539, 56.094575, 56.798243, 169.811411], [62.951351, 63.150896, 72.186609, 74.498482, 326.603820], [17.659605, 18.363265, 19.501161, 22.028631, 159.811023]]
### 6
mean: [-1.540548, 5.498378, -1.107422, -0.922508, -0.656945, -1.127214]
std: [2.609600, 6.108221, 1.586002, 1.801649, 1.325669, 2.275742]
pca: [[-0.346124, 0.394124, 0.260263, 0.794344, -0.161615, -0.005002, 0.000000, 0.000000, 0.000000, 0.000000], [0.810705, 0.532680, 0.037111, 0.080996, 0.013653, 0.225578, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210214, 0.267328, 0.743725, -0.505912, -0.192805, 0.195187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.238941, 0.286842, -0.010632, -0.056050, 0.914051, 0.147936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174571, 0.599448, -0.345166, -0.296073, -0.156288, -0.615599, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301990, 0.218717, -0.508434, -0.125336, -0.276777, 0.714244, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.705211, 43.878435, 50.389878, 51.405333, 138.649324], [101.935952, 102.141432, 116.762470, 120.888448, 494.854017], [26.108882, 26.946348, 30.632397, 31.309617, 99.667945], [29.024815, 30.622700, 34.838167, 35.210233, 83.025702], [22.577044, 22.924243, 25.775333, 26.231735, 59.125033], [36.889384, 38.330102, 44.233077, 44.935087, 101.449233]]
### 8
mean: [-3.681137]
std: [5.321692]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.822071, 90.528613, 101.630019, 104.549202, 331.302316]]
## 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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"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": [[0.291039, 0.238775, 0.496771, 0.530368, -0.052669], [0.260328, -0.738005, 0.539079, -0.391453, -0.081692], [-0.009093, 0.085267, -0.078731, -0.445957, 0.154386], [0.57724, 0.557432, -0.764693, -0.059991, -0.04393], [-0.574253, 0.376208, -0.204135, -0.293588, 0.002619], [-1.067129, 0.020922, 0.457553, 0.179694, 0.07552]], "network.0.bias": [0.115785, 0.237579, 0.392706, 0.582227, -0.076537, 0.912004], "network.2.weight": [[0.472364, 0.485149, 0.284249, 0.636425, 0.528392, -0.048921], [0.33045, 0.842942, 0.233901, 0.409308, 0.208992, 0.180671], [0.312672, 0.387808, 0.276375, 0.865815, 0.380172, -0.63988], [-0.197104, 0.368025, -0.06328, -0.665327, 0.297695, -0.233553], [0.215589, 0.334701, -0.398733, 0.371221, 0.195603, -0.950754], [0.449058, 0.875515, 0.511086, 0.86705, 0.396395, -0.293431]], "network.2.bias": [-0.13658, -0.56522, -0.035221, -0.01445, -0.129738, 0.069423], "network.4.weight": [[0.700413, 0.459046, 0.26645, 0.559578, 0.300826, 0.163968], [0.400574, 0.458373, 0.549372, 0.403378, 0.201788, 0.577991], [-0.48124, -0.265627, -0.473062, -0.719265, -0.736673, -0.110003], [-0.281401, -0.104981, -0.528516, -0.799496, -0.446194, -0.581406], [0.581345, 0.444177, 0.344327, 0.149028, 0.685242, 0.697343], [-0.478248, 0.045244, -0.095207, 0.023058, -0.049342, -0.128628]], "network.4.bias": [0.413022, -0.479124, 0.35017, 0.712158, -0.177138, -0.521744], "network.6.weight": [[0.063559, -0.538658, 0.707627, 0.702042, -0.232255, -0.426383], [0.442177, 0.639145, -0.215191, -0.342613, 0.761448, -0.149221], [-0.017198, 0.042609, 0.274159, 0.445418, -0.421654, -0.057541], [0.111188, -0.254516, 0.026921, 0.76727, -0.305126, -0.084452], [0.458934, -0.316204, 0.752128, 0.722163, -0.344919, -0.568686], [0.245901, -0.420651, 0.652715, 0.43539, -0.37735, -0.623313]], "network.6.bias": [0.454959, -0.32592, 0.272133, 0.43962, -0.091468, 0.526102], "network.8.weight": [[0.632495, -0.77866, 0.302731, 0.728755, 0.239838, 0.499238]], "network.8.bias": [0.133078]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6685269773006439, "train_acc": 0.61, "val_loss": 0.7799195051193237, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6164644360542297, "train_acc": 0.61, "val_loss": 0.7770959734916687, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5723499655723572, "train_acc": 0.62, "val_loss": 0.6082558631896973, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.48166392743587494, "train_acc": 0.78, "val_loss": 0.5303623676300049, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3436572104692459, "train_acc": 0.85, "val_loss": 0.3039373755455017, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.25207824259996414, "train_acc": 0.88, "val_loss": 0.18900251388549805, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.20253323763608932, "train_acc": 0.925, "val_loss": 0.1686658412218094, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.142294280230999, "train_acc": 0.96, "val_loss": 0.20472559332847595, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.1833893619477749, "train_acc": 0.945, "val_loss": 0.19754578173160553, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.1418866030871868, "train_acc": 0.955, "val_loss": 0.20310989022254944, "val_acc": 0.9}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7799195051193237, "final_val_loss": 0.6082558631896973, "initial_val_acc": 0.4, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.5303623676300049, "final_val_loss": 0.20310989022254944, "initial_val_acc": 0.74, "final_val_acc": 0.9, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
9,918
|
{"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": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7028, "learning_rate": 0.07611009234666911, "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: 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.6.weight": [
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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: [0.414365, -2.798278, -2.600358, -0.668672, -4.024753]
std: [1.671631, 2.076912, 2.267341, 2.094829, 3.482224]
pca: [[0.203067, 0.549971, -0.105237, -0.472384, 0.649672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.411570, -0.400453, 0.172721, 0.514830, 0.612671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.379959, -0.229422, 0.715306, -0.509228, -0.178946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149341, 0.629569, 0.600982, 0.466576, -0.049671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.789115, 0.296947, -0.293686, 0.186540, -0.409965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.007156, 27.253962, 28.585390, 37.292816, 37.743793], [31.712356, 37.654240, 38.598219, 39.866344, 251.844992], [38.054170, 38.742779, 38.932330, 39.391840, 234.032202], [36.161971, 36.214997, 36.378474, 37.237191, 60.180466], [61.514678, 62.081438, 70.966287, 79.069897, 362.227782]]
### 2
mean: [-0.568805, -1.011244, 0.543524, -0.662466, 0.563860]
std: [0.530702, 0.915713, 1.412904, 0.328814, 1.068399]
pca: [[-0.257185, 0.233027, 0.412539, 0.824297, -0.172916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330220, 0.801322, 0.129706, -0.436983, -0.202631, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.733014, 0.160770, 0.642303, -0.116479, 0.103549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132455, 0.252983, -0.045621, 0.109482, 0.950993, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519573, -0.462314, 0.631152, -0.322530, 0.118027, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.608407, 8.649317, 9.646004, 9.752331, 51.192427], [13.666902, 14.741185, 17.155266, 18.784764, 91.011955], [22.433826, 24.885282, 25.860678, 28.907781, 48.917201], [5.087833, 5.297006, 6.285160, 6.480017, 59.621899], [17.922201, 19.619924, 21.723589, 23.320014, 50.747431]]
### 4
mean: [0.596880, 1.127618, -1.054943, 0.328897, -0.297367]
std: [0.934240, 1.523082, 0.232322, 1.012601, 0.088057]
pca: [[-0.446742, -0.630223, 0.548924, 0.001786, 0.319248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.743768, -0.220208, 0.495043, -0.306616, -0.243387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036726, 0.715109, 0.536274, -0.085058, 0.438687, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494134, -0.191757, -0.236778, 0.384210, 0.717899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.041392, 0.078584, 0.331605, 0.866678, -0.361964, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.537414, 17.185234, 18.197369, 21.418787, 53.719214], [25.240364, 26.901190, 29.430129, 30.960840, 101.485646], [3.538312, 3.751863, 4.328254, 5.062635, 94.944838], [16.651790, 17.851629, 19.524348, 20.404992, 29.600723], [1.543344, 1.647570, 1.701380, 2.061029, 26.763060]]
### 6
mean: [-1.563416, 0.303998, 1.271000, 1.497379, 0.742750]
std: [1.247146, 1.867979, 2.144027, 1.874029, 1.510666]
pca: [[-0.308777, 0.876555, 0.026855, 0.321637, 0.179269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476648, 0.290885, 0.714397, -0.419386, 0.044102, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547262, 0.301592, -0.381937, 0.109896, -0.672007, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.478839, 0.102794, -0.501257, -0.165370, 0.693932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385592, -0.213338, 0.302955, 0.825373, 0.181061, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.053261, 21.473445, 22.625954, 22.768404, 140.707404], [28.056004, 32.450713, 33.600012, 36.672733, 40.429305], [37.356285, 38.316673, 42.147662, 45.971004, 114.389965], [32.290114, 33.387931, 36.724102, 39.458664, 134.764151], [25.120460, 26.849390, 29.234250, 30.644767, 66.847480]]
### 8
mean: [-2.236904]
std: [4.511459]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.162845, 81.115742, 87.435267, 91.148121, 201.321343]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.07924,
0.092324,
0.159297,
0.138913,
-0.910171
],
[
-0.702096,
-0.101039,
-0.240412,
-0.590661,
0.070726
],
[
-0.396415,
0.447579,
-0.548448,
-0.977637,
-0.00515
],
[
0.997377,
-0.039687,
-0.232208,
-0.007924,
-0.632683
],
[
-1.086398,
0.099534,
-0.374512,
-0.069605,
-1.05656
]
],
"network.0.bias": [
0.836638,
-0.05884,
0.325858,
-0.555176,
-0.619493
],
"network.2.weight": [
[
-0.043468,
0.041884,
-0.110489,
-0.421996,
-0.088547
],
[
-0.553887,
-0.810101,
-0.155716,
-0.639938,
-0.47431
],
[
-0.649904,
0.4395,
-0.887834,
1.006205,
-0.113427
],
[
-0.156979,
-0.117325,
0.011812,
-0.241135,
-0.425691
],
[
0.82059,
0.115589,
0.253965,
-0.656732,
0.513739
]
],
"network.2.bias": [
-0.302165,
-0.150342,
0.698612,
-0.391762,
0.115036
],
"network.4.weight": [
[
0.044282,
0.103692,
-0.479491,
0.335727,
0.6145
],
[
-0.437199,
0.375216,
1.081511,
0.003114,
-0.35073
],
[
0.418509,
0.139355,
-0.210522,
-0.050131,
-0.355664
],
[
0.032984,
0.045496,
0.728663,
-0.36433,
-0.208934
],
[
-0.014893,
0.137837,
0.039922,
-0.049995,
-0.067629
]
],
"network.4.bias": [
0.489323,
0.578919,
-0.624114,
-0.061705,
-0.275826
],
"network.6.weight": [
[
-0.397862,
-0.623269,
0.15995,
-0.523901,
-0.165395
],
[
-0.821556,
0.482097,
0.097718,
0.835208,
-0.001715
],
[
-0.62855,
1.133785,
0.411578,
0.138298,
-0.371764
],
[
-0.386757,
1.08393,
0.495875,
0.053957,
-0.059916
],
[
-0.256689,
0.553098,
-0.024059,
0.62231,
-0.322092
]
],
"network.6.bias": [
-0.281416,
-0.030689,
0.394954,
0.533628,
-0.002568
],
"network.8.weight": [
[
0.394656,
-0.504992,
-0.885225,
-0.74852,
-0.425823
]
],
"network.8.bias": [
0.981133
]
}
## Activation Signature
### 0
mean: [0.414365, -2.798278, -2.600358, -0.668672, -4.024753]
std: [1.671631, 2.076912, 2.267341, 2.094829, 3.482224]
pca: [[0.203067, 0.549971, -0.105237, -0.472384, 0.649672, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.411570, -0.400453, 0.172721, 0.514830, 0.612671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.379959, -0.229422, 0.715306, -0.509228, -0.178946, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.149341, 0.629569, 0.600982, 0.466576, -0.049671, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.789115, 0.296947, -0.293686, 0.186540, -0.409965, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.007156, 27.253962, 28.585390, 37.292816, 37.743793], [31.712356, 37.654240, 38.598219, 39.866344, 251.844992], [38.054170, 38.742779, 38.932330, 39.391840, 234.032202], [36.161971, 36.214997, 36.378474, 37.237191, 60.180466], [61.514678, 62.081438, 70.966287, 79.069897, 362.227782]]
### 2
mean: [-0.568805, -1.011244, 0.543524, -0.662466, 0.563860]
std: [0.530702, 0.915713, 1.412904, 0.328814, 1.068399]
pca: [[-0.257185, 0.233027, 0.412539, 0.824297, -0.172916, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330220, 0.801322, 0.129706, -0.436983, -0.202631, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.733014, 0.160770, 0.642303, -0.116479, 0.103549, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.132455, 0.252983, -0.045621, 0.109482, 0.950993, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519573, -0.462314, 0.631152, -0.322530, 0.118027, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.608407, 8.649317, 9.646004, 9.752331, 51.192427], [13.666902, 14.741185, 17.155266, 18.784764, 91.011955], [22.433826, 24.885282, 25.860678, 28.907781, 48.917201], [5.087833, 5.297006, 6.285160, 6.480017, 59.621899], [17.922201, 19.619924, 21.723589, 23.320014, 50.747431]]
### 4
mean: [0.596880, 1.127618, -1.054943, 0.328897, -0.297367]
std: [0.934240, 1.523082, 0.232322, 1.012601, 0.088057]
pca: [[-0.446742, -0.630223, 0.548924, 0.001786, 0.319248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.743768, -0.220208, 0.495043, -0.306616, -0.243387, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.036726, 0.715109, 0.536274, -0.085058, 0.438687, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494134, -0.191757, -0.236778, 0.384210, 0.717899, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.041392, 0.078584, 0.331605, 0.866678, -0.361964, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.537414, 17.185234, 18.197369, 21.418787, 53.719214], [25.240364, 26.901190, 29.430129, 30.960840, 101.485646], [3.538312, 3.751863, 4.328254, 5.062635, 94.944838], [16.651790, 17.851629, 19.524348, 20.404992, 29.600723], [1.543344, 1.647570, 1.701380, 2.061029, 26.763060]]
### 6
mean: [-1.563416, 0.303998, 1.271000, 1.497379, 0.742750]
std: [1.247146, 1.867979, 2.144027, 1.874029, 1.510666]
pca: [[-0.308777, 0.876555, 0.026855, 0.321637, 0.179269, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476648, 0.290885, 0.714397, -0.419386, 0.044102, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547262, 0.301592, -0.381937, 0.109896, -0.672007, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.478839, 0.102794, -0.501257, -0.165370, 0.693932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.385592, -0.213338, 0.302955, 0.825373, 0.181061, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.053261, 21.473445, 22.625954, 22.768404, 140.707404], [28.056004, 32.450713, 33.600012, 36.672733, 40.429305], [37.356285, 38.316673, 42.147662, 45.971004, 114.389965], [32.290114, 33.387931, 36.724102, 39.458664, 134.764151], [25.120460, 26.849390, 29.234250, 30.644767, 66.847480]]
### 8
mean: [-2.236904]
std: [4.511459]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.162845, 81.115742, 87.435267, 91.148121, 201.321343]]
## 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": 0.41436463594436646, "std": 1.6716307401657104, "pca": [0.2030669003725052, 0.5499706864356995, -0.10523691028356552, -0.4723844528198242, 0.6496723890304565, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.007156112249433, 27.25396209591335, 28.585389665515148, 37.292815923690796, 37.743792717725164]}, "1": {"mean": -2.7982776165008545, "std": 2.0769121646881104, "pca": [0.4115699231624603, -0.4004531502723694, 0.1727205514907837, 0.5148295760154724, 0.6126708388328552, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.71235622889202, 37.654240122570016, 38.59821865479426, 39.86634350655383, 251.84499191492796]}, "2": {"mean": -2.600358009338379, "std": 2.267341375350952, "pca": [0.37995854020118713, -0.22942236065864563, 0.715305745601654, -0.5092278122901917, -0.17894582450389862, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [38.05416971874105, 38.7427789240534, 38.93232956844561, 39.39183964676818, 234.03220185637474]}, "3": {"mean": -0.6686719059944153, "std": 2.0948290824890137, "pca": [-0.14934083819389343, 0.629569411277771, 0.6009818315505981, 0.46657612919807434, -0.04967079684138298, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.16197091495755, 36.21499683383672, 36.37847361358155, 37.2371909387519, 60.18046551942825]}, "4": {"mean": -4.024753093719482, "std": 3.482224225997925, "pca": [0.7891152501106262, 0.29694655537605286, -0.2936857044696808, 0.18654006719589233, -0.4099651575088501, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [61.51467827403351, 62.08143790264522, 70.96628683740437, 79.06989737581787, 362.2277821004391]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.5688047409057617, "std": 0.5307019352912903, "pca": [-0.257184773683548, 0.23302693665027618, 0.41253897547721863, 0.824297308921814, -0.17291615903377533, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [8.608407279264027, 8.649316525212132, 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{"mean": 0.563860297203064, "std": 1.0683989524841309, "pca": [-0.5195732116699219, -0.46231403946876526, 0.631152331829071, -0.32253026962280273, 0.1180269718170166, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.92220118034604, 19.619923876221534, 21.72358931527724, 23.320014003410794, 50.7474313005805]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 0.5968801975250244, "std": 0.9342402815818787, "pca": [-0.4467419683933258, -0.6302234530448914, 0.5489240288734436, 0.0017858740175142884, 0.319247841835022, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.53741412626271, 17.185234172293328, 18.197368819685103, 21.418786736422796, 53.71921448409557]}, "1": {"mean": 1.1276183128356934, "std": 1.5230817794799805, "pca": [0.7437681555747986, -0.2202077955007553, 0.49504250288009644, -0.3066155016422272, -0.2433871328830719, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.240364104582376, 26.901189756004513, 29.4301294186517, 30.960840176983655, 101.48564577102661]}, "2": {"mean": -1.0549426078796387, "std": 0.23232170939445496, "pca": [-0.036725644022226334, 0.7151088714599609, 0.5362740159034729, -0.08505814522504807, 0.4386865198612213, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [3.538312316647602, 3.751862516490323, 4.328254110937638, 5.062635363982157, 94.94483786821365]}, "3": {"mean": 0.3288969397544861, "std": 1.0126012563705444, "pca": [0.4941340386867523, -0.1917569935321808, -0.23677833378314972, 0.3842100203037262, 0.7178993821144104, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.651789784904313, 17.851628934885753, 19.524348217863633, 20.404992408069916, 29.600722834467888]}, "4": {"mean": -0.2973673343658447, "std": 0.08805728703737259, "pca": [0.04139206185936928, 0.07858412712812424, 0.3316045105457306, 0.8666784167289734, -0.36196431517601013, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [1.5433442339369023, 1.6475702316751608, 1.7013803639394387, 2.0610293011022636, 26.763059690594673]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -1.56341552734375, "std": 1.2471462488174438, "pca": [-0.3087768256664276, 0.8765547871589661, 0.02685510739684105, 0.3216366171836853, 0.1792687326669693, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.053261176627455, 21.47344476560456, 22.625953720544864, 22.768404341703356, 140.70740407705307]}, "1": {"mean": 0.3039982318878174, "std": 1.8679791688919067, "pca": [0.4766480326652527, 0.2908850312232971, 0.7143967151641846, -0.4193864166736603, 0.04410163685679436, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [28.056004497796962, 32.45071268715898, 33.6000117883298, 36.672733312931236, 40.42930451789448]}, "2": {"mean": 1.270999550819397, "std": 2.1440274715423584, "pca": [0.5472622513771057, 0.3015921115875244, -0.3819369077682495, 0.10989633947610855, -0.6720068454742432, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.35628464545548, 38.31667286157083, 42.14766198022537, 45.971003914731554, 114.3899649977684]}, "3": {"mean": 1.497379183769226, "std": 1.8740285634994507, "pca": [0.47883859276771545, 0.10279377549886703, -0.5012567639350891, -0.1653701663017273, 0.6939318776130676, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [32.290113606038865, 33.387931498429985, 36.72410197158412, 39.45866406225611, 134.76415139436722]}, "4": {"mean": 0.7427496910095215, "std": 1.5106662511825562, "pca": [0.38559195399284363, -0.21333838999271393, 0.3029554784297943, 0.8253728747367859, 0.18106114864349365, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [25.1204604969479, 26.849390375154893, 29.23424965277251, 30.64476732695051, 66.84748008474708]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.236903667449951, "std": 4.5114593505859375, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [75.16284499504847, 81.11574150277839, 87.43526720331958, 91.14812078027167, 201.32134300470352]}}, "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": [[-0.07924, 0.092324, 0.159297, 0.138913, -0.910171], [-0.702096, -0.101039, -0.240412, -0.590661, 0.070726], [-0.396415, 0.447579, -0.548448, -0.977637, -0.00515], [0.997377, -0.039687, -0.232208, -0.007924, -0.632683], [-1.086398, 0.099534, -0.374512, -0.069605, -1.05656]], "network.0.bias": [0.836638, -0.05884, 0.325858, -0.555176, -0.619493], "network.2.weight": [[-0.043468, 0.041884, -0.110489, -0.421996, -0.088547], [-0.553887, -0.810101, -0.155716, -0.639938, -0.47431], [-0.649904, 0.4395, -0.887834, 1.006205, -0.113427], [-0.156979, -0.117325, 0.011812, -0.241135, -0.425691], [0.82059, 0.115589, 0.253965, -0.656732, 0.513739]], "network.2.bias": [-0.302165, -0.150342, 0.698612, -0.391762, 0.115036], "network.4.weight": [[0.044282, 0.103692, -0.479491, 0.335727, 0.6145], [-0.437199, 0.375216, 1.081511, 0.003114, -0.35073], [0.418509, 0.139355, -0.210522, -0.050131, -0.355664], [0.032984, 0.045496, 0.728663, -0.36433, -0.208934], [-0.014893, 0.137837, 0.039922, -0.049995, -0.067629]], "network.4.bias": [0.489323, 0.578919, -0.624114, -0.061705, -0.275826], "network.6.weight": [[-0.397862, -0.623269, 0.15995, -0.523901, -0.165395], [-0.821556, 0.482097, 0.097718, 0.835208, -0.001715], [-0.62855, 1.133785, 0.411578, 0.138298, -0.371764], [-0.386757, 1.08393, 0.495875, 0.053957, -0.059916], [-0.256689, 0.553098, -0.024059, 0.62231, -0.322092]], "network.6.bias": [-0.281416, -0.030689, 0.394954, 0.533628, -0.002568], "network.8.weight": [[0.394656, -0.504992, -0.885225, -0.74852, -0.425823]], "network.8.bias": [0.981133]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6947698295116425, "train_acc": 0.58, "val_loss": 0.6952225565910339, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.679029256105423, "train_acc": 0.58, "val_loss": 0.7066927552223206, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.687820702791214, "train_acc": 0.58, "val_loss": 0.7023577690124512, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6671538352966309, "train_acc": 0.58, "val_loss": 0.6810299754142761, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6451824009418488, "train_acc": 0.58, "val_loss": 0.641061544418335, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.646025538444519, "train_acc": 0.5, "val_loss": 0.5932528972625732, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5925102531909943, "train_acc": 0.5, "val_loss": 0.54390549659729, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5399350821971893, "train_acc": 0.78, "val_loss": 0.5234590768814087, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5285061001777649, "train_acc": 0.775, "val_loss": 0.5070223212242126, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4939376562833786, "train_acc": 0.775, "val_loss": 0.5029799938201904, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.48917387425899506, "train_acc": 0.77, "val_loss": 0.4877968728542328, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4576730579137802, "train_acc": 0.79, "val_loss": 0.469972163438797, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4408465325832367, "train_acc": 0.8, "val_loss": 0.4495185911655426, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.406802773475647, "train_acc": 0.82, "val_loss": 0.42894768714904785, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3958240747451782, "train_acc": 0.825, "val_loss": 0.4112861156463623, "val_acc": 0.82}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6952225565910339, "final_val_loss": 0.641061544418335, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5932528972625732, "final_val_loss": 0.4112861156463623, "initial_val_acc": 0.5, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 14}, "improvement": 0.31999999999999995, "first_improvement_epoch": 4}}
|
9,919
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3525, "learning_rate": 0.04395585522037693, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.115485,
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0.518872
],
[
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0.568847,
0.077651,
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],
[
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-1.047629
],
[
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0.10994
],
[
0.940702,
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0.045687,
-0.645604
],
[
-0.433593,
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]
],
"network.0.bias": [
0.155245,
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0.090327
],
"network.2.weight": [
[
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],
[
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0.080701,
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],
[
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],
[
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0.010042,
0.008654,
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],
[
-0.148348,
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0.023758,
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0.102188,
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],
[
0.004535,
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-0.062135,
-0.264132
]
],
"network.2.bias": [
0.016489,
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],
"network.4.weight": [
[
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],
[
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0.230435,
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0.156953,
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],
[
-0.377089,
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],
[
0.392597,
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0.693304,
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],
[
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0.185529
],
[
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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": [
-0.826783
]
}
## Activation Signature
### 0
mean: [0.598478, 1.275148, 0.714544, -3.635900, 0.796690, -0.830935]
std: [2.133530, 1.925246, 2.026708, 1.958882, 2.212776, 1.814936]
pca: [[-0.443460, -0.386999, 0.495677, -0.317529, 0.553059, 0.034371, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325515, -0.531585, -0.268650, -0.220242, -0.545936, 0.439014, 0.000000, 0.000000, 0.000000, 0.000000], [0.432803, -0.191009, 0.707682, 0.298637, -0.270325, 0.336339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168032, 0.682873, 0.268514, -0.525906, -0.219953, 0.329232, 0.000000, 0.000000, 0.000000, 0.000000], [0.551494, -0.082966, -0.313496, -0.299373, 0.459792, 0.538199, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421527, 0.240762, -0.104588, 0.628716, 0.251430, 0.543056, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.474792, 38.248108, 39.842001, 46.421043, 53.862989], [29.886161, 29.914366, 32.447104, 37.158206, 114.763354], [29.394970, 29.634790, 36.744334, 37.109698, 64.308990], [32.197889, 32.307107, 34.011412, 36.998035, 327.230998], [32.875035, 33.807115, 40.861254, 42.656652, 71.702071], [29.543288, 30.660216, 31.163913, 32.394928, 74.784116]]
### 2
mean: [0.262274, -1.135147, 0.038482, -0.544101, -1.203559, -1.437743]
std: [2.121625, 0.538113, 2.526155, 0.379876, 1.292627, 0.825311]
pca: [[0.601021, 0.073123, 0.370946, -0.110553, -0.389133, 0.576350, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087590, 0.391685, 0.238412, -0.620979, 0.604242, 0.177052, 0.000000, 0.000000, 0.000000, 0.000000], [0.709661, 0.323331, -0.413816, -0.070038, 0.116323, -0.449621, 0.000000, 0.000000, 0.000000, 0.000000], [0.067977, 0.239038, -0.188865, 0.670140, 0.479615, 0.472707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326007, 0.535796, -0.539454, -0.183383, -0.451907, 0.278894, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128771, 0.626480, 0.554648, 0.338438, -0.188905, -0.364803, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.292701, 34.889291, 34.991348, 36.306631, 37.058473], [8.639447, 9.385821, 9.500040, 9.930170, 102.163201], [36.006091, 40.480205, 41.966411, 42.229994, 47.755451], [6.620612, 6.936134, 7.119457, 7.877128, 48.969083], [22.621969, 22.623775, 23.451025, 23.691999, 108.320316], [13.121841, 13.596541, 14.276134, 15.415579, 129.396901]]
### 4
mean: [-0.292392, -0.460791, -0.574891, 0.316916, -0.499355, -0.874870]
std: [0.068641, 0.361507, 0.542238, 1.450553, 0.314682, 0.932159]
pca: [[-0.034309, 0.148917, -0.329248, 0.027852, 0.672734, 0.644125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185452, 0.794945, -0.343762, 0.062810, -0.449520, 0.097391, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289110, 0.349437, 0.635067, -0.594730, 0.182289, 0.063762, 0.000000, 0.000000, 0.000000, 0.000000], [0.777005, 0.271209, 0.429618, 0.245516, -0.077080, 0.268174, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166469, -0.385236, 0.088547, -0.143329, -0.547838, 0.703826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.499396, 0.042654, 0.421546, 0.748835, 0.077872, 0.065304, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.018954, 1.030774, 1.338798, 1.387119, 26.315324], [5.538574, 5.600519, 7.141336, 7.365872, 41.471232], [7.790849, 8.010820, 9.774965, 11.224937, 51.740234], [20.296677, 22.525362, 24.625245, 28.522395, 30.134600], [4.463587, 4.790104, 5.053573, 6.382497, 44.941960], [12.837809, 14.270415, 16.104988, 19.345903, 78.738281]]
### 6
mean: [0.110726, -0.536426, -0.306839, 0.137761, 0.742605, 0.888877]
std: [0.117683, 0.235411, 0.247566, 0.632702, 0.249662, 0.143957]
pca: [[0.150196, 0.027083, -0.021560, -0.100078, 0.959253, -0.214617, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300448, -0.426931, 0.137134, -0.485703, 0.161058, 0.668437, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315962, -0.119162, -0.187570, 0.819650, 0.215571, 0.363991, 0.000000, 0.000000, 0.000000, 0.000000], [0.807499, 0.153890, 0.170770, 0.138111, 0.005008, 0.525358, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318637, 0.506766, 0.790559, 0.084530, 0.075907, 0.061395, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183728, 0.722706, -0.539816, -0.236709, 0.040447, 0.308013, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.722117, 1.730457, 1.919938, 2.439453, 9.965305], [3.444891, 3.461575, 3.840609, 4.879838, 48.278351], [3.622765, 3.640311, 4.038916, 5.131805, 27.615488], [9.258651, 9.303493, 10.322202, 12.398493, 13.115283], [3.653432, 3.671126, 4.073105, 5.175245, 66.834477], [2.106591, 2.116794, 2.348577, 2.984078, 79.998909]]
### 8
mean: [-2.466866]
std: [0.667199]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.508972, 9.981049, 10.845318, 13.669716, 222.017924]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.115485,
0.594515,
0.140035,
-0.085993,
0.518872
],
[
-0.707022,
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0.568847,
0.077651,
0.606735
],
[
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0.194568,
0.149342,
0.287444,
-1.047629
],
[
-0.085351,
-0.421127,
-0.553749,
-0.493161,
0.10994
],
[
0.940702,
0.14248,
0.133715,
0.045687,
-0.645604
],
[
-0.433593,
-0.293523,
-0.358025,
0.018347,
0.698689
]
],
"network.0.bias": [
0.155245,
-0.510468,
0.331462,
-0.683616,
-0.214636,
0.090327
],
"network.2.weight": [
[
0.695589,
0.370757,
-0.476915,
-0.075495,
-0.442775,
-0.081851
],
[
0.128274,
-0.321041,
-0.295655,
-0.061769,
0.080701,
-0.362811
],
[
0.83125,
0.462055,
-0.505996,
-0.197827,
-0.660011,
-0.520463
],
[
-0.014482,
0.010042,
0.008654,
-0.155536,
-0.226391,
-0.130798
],
[
-0.148348,
-0.477153,
0.023758,
-0.194562,
0.102188,
-0.563384
],
[
0.004535,
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-0.243944,
-0.502381,
-0.062135,
-0.264132
]
],
"network.2.bias": [
0.016489,
-0.395442,
-0.063924,
-0.238202,
-0.249384,
-0.214993
],
"network.4.weight": [
[
-0.088309,
0.405996,
0.040769,
-0.301384,
0.135581,
-0.388504
],
[
-0.500481,
-0.361717,
0.230435,
-0.072609,
0.156953,
-0.039845
],
[
-0.377089,
0.027588,
-0.041132,
-0.175932,
-0.284438,
-0.223717
],
[
0.392597,
-0.018849,
0.693304,
-0.399717,
-0.009837,
-0.197784
],
[
0.068953,
0.205401,
-0.298284,
-0.009729,
-0.092341,
0.185529
],
[
-0.369742,
0.359308,
-0.337915,
-0.077171,
-0.258538,
0.298809
]
],
"network.4.bias": [
-0.256599,
-0.230067,
-0.189113,
-0.658522,
-0.287269,
-0.228763
],
"network.6.weight": [
[
-0.350325,
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0.095337,
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],
[
0.006923,
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0.308376,
0.022135
],
[
-0.290957,
0.337141,
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0.330373
],
[
-0.032335,
0.119423,
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0.512562,
0.348201,
-0.110741
],
[
0.366499,
0.019748,
-0.085894,
-0.202255,
-0.341614,
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],
[
0.067733,
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0.005004,
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0.162785,
-0.109794
]
],
"network.6.bias": [
0.046076,
-0.407102,
-0.170837,
-0.209818,
0.879759,
0.96796
],
"network.8.weight": [
[
-0.157685,
-0.341666,
0.362371,
0.521864,
-0.928704,
-1.208039
]
],
"network.8.bias": [
-0.826783
]
}
## Activation Signature
### 0
mean: [0.598478, 1.275148, 0.714544, -3.635900, 0.796690, -0.830935]
std: [2.133530, 1.925246, 2.026708, 1.958882, 2.212776, 1.814936]
pca: [[-0.443460, -0.386999, 0.495677, -0.317529, 0.553059, 0.034371, 0.000000, 0.000000, 0.000000, 0.000000], [-0.325515, -0.531585, -0.268650, -0.220242, -0.545936, 0.439014, 0.000000, 0.000000, 0.000000, 0.000000], [0.432803, -0.191009, 0.707682, 0.298637, -0.270325, 0.336339, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168032, 0.682873, 0.268514, -0.525906, -0.219953, 0.329232, 0.000000, 0.000000, 0.000000, 0.000000], [0.551494, -0.082966, -0.313496, -0.299373, 0.459792, 0.538199, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421527, 0.240762, -0.104588, 0.628716, 0.251430, 0.543056, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[37.474792, 38.248108, 39.842001, 46.421043, 53.862989], [29.886161, 29.914366, 32.447104, 37.158206, 114.763354], [29.394970, 29.634790, 36.744334, 37.109698, 64.308990], [32.197889, 32.307107, 34.011412, 36.998035, 327.230998], [32.875035, 33.807115, 40.861254, 42.656652, 71.702071], [29.543288, 30.660216, 31.163913, 32.394928, 74.784116]]
### 2
mean: [0.262274, -1.135147, 0.038482, -0.544101, -1.203559, -1.437743]
std: [2.121625, 0.538113, 2.526155, 0.379876, 1.292627, 0.825311]
pca: [[0.601021, 0.073123, 0.370946, -0.110553, -0.389133, 0.576350, 0.000000, 0.000000, 0.000000, 0.000000], [-0.087590, 0.391685, 0.238412, -0.620979, 0.604242, 0.177052, 0.000000, 0.000000, 0.000000, 0.000000], [0.709661, 0.323331, -0.413816, -0.070038, 0.116323, -0.449621, 0.000000, 0.000000, 0.000000, 0.000000], [0.067977, 0.239038, -0.188865, 0.670140, 0.479615, 0.472707, 0.000000, 0.000000, 0.000000, 0.000000], [-0.326007, 0.535796, -0.539454, -0.183383, -0.451907, 0.278894, 0.000000, 0.000000, 0.000000, 0.000000], [-0.128771, 0.626480, 0.554648, 0.338438, -0.188905, -0.364803, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.292701, 34.889291, 34.991348, 36.306631, 37.058473], [8.639447, 9.385821, 9.500040, 9.930170, 102.163201], [36.006091, 40.480205, 41.966411, 42.229994, 47.755451], [6.620612, 6.936134, 7.119457, 7.877128, 48.969083], [22.621969, 22.623775, 23.451025, 23.691999, 108.320316], [13.121841, 13.596541, 14.276134, 15.415579, 129.396901]]
### 4
mean: [-0.292392, -0.460791, -0.574891, 0.316916, -0.499355, -0.874870]
std: [0.068641, 0.361507, 0.542238, 1.450553, 0.314682, 0.932159]
pca: [[-0.034309, 0.148917, -0.329248, 0.027852, 0.672734, 0.644125, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185452, 0.794945, -0.343762, 0.062810, -0.449520, 0.097391, 0.000000, 0.000000, 0.000000, 0.000000], [-0.289110, 0.349437, 0.635067, -0.594730, 0.182289, 0.063762, 0.000000, 0.000000, 0.000000, 0.000000], [0.777005, 0.271209, 0.429618, 0.245516, -0.077080, 0.268174, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166469, -0.385236, 0.088547, -0.143329, -0.547838, 0.703826, 0.000000, 0.000000, 0.000000, 0.000000], [-0.499396, 0.042654, 0.421546, 0.748835, 0.077872, 0.065304, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.018954, 1.030774, 1.338798, 1.387119, 26.315324], [5.538574, 5.600519, 7.141336, 7.365872, 41.471232], [7.790849, 8.010820, 9.774965, 11.224937, 51.740234], [20.296677, 22.525362, 24.625245, 28.522395, 30.134600], [4.463587, 4.790104, 5.053573, 6.382497, 44.941960], [12.837809, 14.270415, 16.104988, 19.345903, 78.738281]]
### 6
mean: [0.110726, -0.536426, -0.306839, 0.137761, 0.742605, 0.888877]
std: [0.117683, 0.235411, 0.247566, 0.632702, 0.249662, 0.143957]
pca: [[0.150196, 0.027083, -0.021560, -0.100078, 0.959253, -0.214617, 0.000000, 0.000000, 0.000000, 0.000000], [-0.300448, -0.426931, 0.137134, -0.485703, 0.161058, 0.668437, 0.000000, 0.000000, 0.000000, 0.000000], [-0.315962, -0.119162, -0.187570, 0.819650, 0.215571, 0.363991, 0.000000, 0.000000, 0.000000, 0.000000], [0.807499, 0.153890, 0.170770, 0.138111, 0.005008, 0.525358, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318637, 0.506766, 0.790559, 0.084530, 0.075907, 0.061395, 0.000000, 0.000000, 0.000000, 0.000000], [-0.183728, 0.722706, -0.539816, -0.236709, 0.040447, 0.308013, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.722117, 1.730457, 1.919938, 2.439453, 9.965305], [3.444891, 3.461575, 3.840609, 4.879838, 48.278351], [3.622765, 3.640311, 4.038916, 5.131805, 27.615488], [9.258651, 9.303493, 10.322202, 12.398493, 13.115283], [3.653432, 3.671126, 4.073105, 5.175245, 66.834477], [2.106591, 2.116794, 2.348577, 2.984078, 79.998909]]
### 8
mean: [-2.466866]
std: [0.667199]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.508972, 9.981049, 10.845318, 13.669716, 222.017924]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5984776616096497, "std": 2.1335301399230957, "pca": [-0.44345980882644653, -0.38699859380722046, 0.4956766963005066, -0.317528635263443, 0.5530590415000916, 0.034371454268693924, 0.0, 0.0, 0.0, 0.0], "fourier": [37.474791678868144, 38.24810825942752, 39.84200052221245, 46.4210434748793, 53.86298926174641]}, "1": {"mean": 1.2751483917236328, "std": 1.9252463579177856, "pca": [-0.3255147337913513, -0.531584620475769, -0.26864975690841675, -0.22024238109588623, -0.5459355115890503, 0.43901360034942627, 0.0, 0.0, 0.0, 0.0], "fourier": [29.886160656001604, 29.914366331825292, 32.4471044263431, 37.158205934134905, 114.76335409283638]}, "2": {"mean": 0.7145442366600037, "std": 2.0267083644866943, "pca": [0.4328030049800873, -0.19100916385650635, 0.7076818943023682, 0.29863691329956055, -0.2703249454498291, 0.3363387882709503, 0.0, 0.0, 0.0, 0.0], "fourier": [29.394969608285873, 29.634790478635544, 36.74433395729797, 37.10969770806676, 64.30899006128311]}, "3": {"mean": -3.635899782180786, "std": 1.9588817358016968, "pca": [-0.16803200542926788, 0.6828731894493103, 0.2685137689113617, -0.5259056091308594, -0.21995262801647186, 0.3292323648929596, 0.0, 0.0, 0.0, 0.0], "fourier": [32.197888863033526, 32.30710699792808, 34.011412043471005, 36.99803476120387, 327.2309983968735]}, "4": {"mean": 0.7966896891593933, "std": 2.212775945663452, "pca": [0.5514936447143555, -0.08296649158000946, -0.3134964108467102, -0.29937314987182617, 0.45979174971580505, 0.5381993651390076, 0.0, 0.0, 0.0, 0.0], "fourier": [32.87503497353518, 33.80711457871337, 40.86125400046005, 42.65665164163945, 71.70207138359547]}, "5": {"mean": -0.8309347629547119, "std": 1.8149363994598389, "pca": [-0.42152711749076843, 0.2407616376876831, -0.10458773374557495, 0.628715991973877, 0.2514297664165497, 0.5430555939674377, 0.0, 0.0, 0.0, 0.0], "fourier": [29.543288360436204, 30.66021642454463, 31.163913078586578, 32.39492783941995, 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"5": {"mean": 0.8888767957687378, "std": 0.14395655691623688, "pca": [-0.18372784554958344, 0.7227057218551636, -0.5398164391517639, -0.2367088943719864, 0.04044680669903755, 0.30801254510879517, 0.0, 0.0, 0.0, 0.0], "fourier": [2.1065910759616595, 2.116793912669708, 2.3485774975311062, 2.9840782947315394, 79.99890938401222]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -2.4668657779693604, "std": 0.6671994924545288, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [9.50897238164539, 9.981049445561695, 10.84531757683619, 13.669716297037395, 222.017923951149]}}, "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": "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": [[-1.115485, 0.594515, 0.140035, -0.085993, 0.518872], [-0.707022, 0.308625, 0.568847, 0.077651, 0.606735], [0.315197, 0.194568, 0.149342, 0.287444, -1.047629], [-0.085351, -0.421127, -0.553749, -0.493161, 0.10994], [0.940702, 0.14248, 0.133715, 0.045687, -0.645604], [-0.433593, -0.293523, -0.358025, 0.018347, 0.698689]], "network.0.bias": [0.155245, -0.510468, 0.331462, -0.683616, -0.214636, 0.090327], "network.2.weight": [[0.695589, 0.370757, -0.476915, -0.075495, -0.442775, -0.081851], [0.128274, -0.321041, -0.295655, -0.061769, 0.080701, -0.362811], [0.83125, 0.462055, -0.505996, -0.197827, -0.660011, -0.520463], [-0.014482, 0.010042, 0.008654, -0.155536, -0.226391, -0.130798], [-0.148348, -0.477153, 0.023758, -0.194562, 0.102188, -0.563384], [0.004535, -0.491324, -0.243944, -0.502381, -0.062135, -0.264132]], "network.2.bias": [0.016489, -0.395442, -0.063924, -0.238202, -0.249384, -0.214993], "network.4.weight": [[-0.088309, 0.405996, 0.040769, -0.301384, 0.135581, -0.388504], [-0.500481, -0.361717, 0.230435, -0.072609, 0.156953, -0.039845], [-0.377089, 0.027588, -0.041132, -0.175932, -0.284438, -0.223717], [0.392597, -0.018849, 0.693304, -0.399717, -0.009837, -0.197784], [0.068953, 0.205401, -0.298284, -0.009729, -0.092341, 0.185529], [-0.369742, 0.359308, -0.337915, -0.077171, -0.258538, 0.298809]], "network.4.bias": [-0.256599, -0.230067, -0.189113, -0.658522, -0.287269, -0.228763], "network.6.weight": [[-0.350325, -0.352253, -0.292691, 0.095337, -0.329147, -0.39683], [0.006923, -0.368895, -0.320994, -0.19071, 0.308376, 0.022135], [-0.290957, 0.337141, -0.231519, -0.200557, -0.074656, 0.330373], [-0.032335, 0.119423, -0.579079, 0.512562, 0.348201, -0.110741], [0.366499, 0.019748, -0.085894, -0.202255, -0.341614, -0.089325], [0.067733, -0.205232, 0.005004, -0.116622, 0.162785, -0.109794]], "network.6.bias": [0.046076, -0.407102, -0.170837, -0.209818, 0.879759, 0.96796], "network.8.weight": [[-0.157685, -0.341666, 0.362371, 0.521864, -0.928704, -1.208039]], "network.8.bias": [-0.826783]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6869127452373505, "train_acc": 0.575, "val_loss": 0.7128032445907593, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6781196296215057, "train_acc": 0.575, "val_loss": 0.6712696552276611, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6617648303508759, "train_acc": 0.6, "val_loss": 0.6095505356788635, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6208921670913696, "train_acc": 0.705, "val_loss": 0.5778732895851135, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6032418608665466, "train_acc": 0.755, "val_loss": 0.5655477046966553, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5659864246845245, "train_acc": 0.73, "val_loss": 0.5194107294082642, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5326480865478516, "train_acc": 0.745, "val_loss": 0.47342127561569214, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.525985836982727, "train_acc": 0.76, "val_loss": 0.4606657326221466, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5119057595729828, "train_acc": 0.77, "val_loss": 0.44151172041893005, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.47290316224098206, "train_acc": 0.76, "val_loss": 0.41299429535865784, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.49627989530563354, "train_acc": 0.775, "val_loss": 0.4023054540157318, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4581148773431778, "train_acc": 0.785, "val_loss": 0.46311667561531067, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7128032445907593, "final_val_loss": 0.6712696552276611, "initial_val_acc": 0.46, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6095505356788635, "final_val_loss": 0.46311667561531067, "initial_val_acc": 0.74, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 11}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
9,920
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2300, "learning_rate": 0.07077571957561933, "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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],
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],
[
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[
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0.843821
],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
-0.548074,
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],
[
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0.614329
],
[
0.020101,
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1.022549,
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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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],
"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: [-2.486294, -0.814151, -2.491493, 1.500422, 0.459062]
std: [1.440086, 1.015080, 2.020238, 2.285783, 1.919066]
pca: [[-0.382753, 0.270403, 0.412649, -0.130592, 0.770097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205403, 0.042622, 0.232432, 0.946248, -0.081138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.597498, 0.309549, 0.306473, -0.271740, -0.615961, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637486, 0.158281, 0.737439, -0.062277, -0.144445, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.218903, 0.896768, -0.371422, 0.099196, 0.009762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.752402, 23.029616, 24.689772, 28.504426, 223.766470], [16.369893, 19.104329, 19.163964, 20.731664, 73.273555], [31.245191, 32.918699, 34.200042, 42.401093, 224.234434], [38.239616, 39.525790, 44.217046, 50.850926, 135.038008], [27.122674, 29.030750, 29.344817, 29.783481, 41.315582]]
### 2
mean: [-1.208658, 1.993856, 0.657255, 1.411306, 2.114225]
std: [1.103525, 2.297255, 0.756440, 1.848582, 2.719738]
pca: [[-0.260098, -0.286318, -0.149394, 0.781437, -0.466272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547128, -0.405765, 0.614403, -0.081620, -0.389684, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.115493, 0.777725, 0.539581, 0.246526, -0.172868, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.444215, -0.027991, 0.096906, 0.566083, 0.687058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649873, 0.384367, -0.547405, 0.038340, -0.358895, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.023943, 18.438330, 22.802541, 24.772502, 108.779235], [33.503580, 36.705072, 46.450478, 48.231661, 179.447006], [11.419384, 11.939411, 12.563862, 15.795701, 59.152910], [28.391425, 28.983199, 37.927861, 40.274618, 127.017497], [43.581360, 45.115119, 55.913887, 60.687374, 190.280208]]
### 4
mean: [-0.732904, 1.852866, -3.417182, 2.740062, -2.442196]
std: [0.568247, 3.033163, 3.468314, 4.363932, 2.053671]
pca: [[-0.079029, -0.527073, 0.355932, 0.635183, -0.431049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453846, -0.113744, 0.350737, 0.281774, 0.760706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518413, 0.443631, -0.262383, 0.629435, 0.263451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652287, 0.570574, -0.022508, 0.294139, -0.402421, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305858, 0.432311, 0.825194, -0.185577, -0.064611, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.893583, 9.000042, 10.314737, 10.457724, 65.961353], [47.772469, 47.853737, 63.447897, 64.010641, 166.757921], [54.429647, 54.902488, 72.584409, 74.345505, 307.546415], [66.734712, 69.632281, 90.329210, 90.363470, 246.605593], [31.870867, 33.085688, 42.968057, 44.952990, 219.797648]]
### 6
mean: [4.692037, -1.273901, -2.450638, 0.913134, 1.690236]
std: [6.638365, 0.980326, 2.681802, 0.037262, 2.780425]
pca: [[0.857401, -0.365829, -0.050128, 0.005988, 0.358447, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126452, -0.510179, 0.836163, 0.117890, -0.103247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346383, 0.024197, 0.115216, -0.317996, 0.874664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.002803, 0.306839, 0.099015, 0.895997, 0.305331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.359005, 0.714948, 0.524632, -0.286590, -0.050908, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.285194, 112.918204, 136.948333, 143.503247, 422.283315], [15.069524, 16.488374, 20.561488, 21.310465, 114.651062], [40.203744, 45.581348, 55.403106, 58.005808, 220.557403], [0.569235, 0.573454, 0.583871, 0.762160, 82.182068], [42.227321, 47.025124, 57.892470, 60.310400, 152.121200]]
### 8
mean: [-4.740825]
std: [8.061910]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.266689, 138.719289, 166.930877, 175.679664, 426.674300]]
## 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:
{
"network.0.weight": [
[
-0.152523,
-0.266037,
-0.412366,
-0.22539,
-0.174628
],
[
-0.156164,
0.272199,
-0.444135,
-0.114929,
-0.066248
],
[
-0.395929,
-0.289121,
-0.382553,
-0.367224,
-0.347922
],
[
0.768441,
-0.183437,
-0.268618,
0.215745,
0.843821
],
[
-0.383052,
-0.419603,
0.063754,
0.514932,
0.63284
]
],
"network.0.bias": [
-0.251611,
0.140092,
0.543768,
-0.063848,
-0.317561
],
"network.2.weight": [
[
-0.134215,
-0.118456,
0.051752,
-0.455434,
-0.193677
],
[
-0.248655,
-0.03403,
-0.487046,
0.629724,
0.971168
],
[
-0.548074,
0.495313,
0.493417,
0.097342,
-0.578872
],
[
0.173094,
0.057978,
-0.478201,
0.606717,
0.614329
],
[
0.020101,
0.063201,
-0.690911,
1.022549,
0.652035
]
],
"network.2.bias": [
-0.248589,
0.033566,
0.975564,
-0.176475,
-0.197607
],
"network.4.weight": [
[
-0.363447,
-0.494058,
0.18566,
0.32399,
0.021515
],
[
-0.162482,
0.106655,
-0.489185,
0.564721,
0.63834
],
[
-0.449388,
-0.455538,
0.212104,
0.061344,
-0.954211
],
[
-0.185022,
0.544473,
-0.899224,
0.766539,
0.591533
],
[
0.143608,
-0.710198,
-0.535032,
-0.006512,
-0.212371
]
],
"network.4.bias": [
-0.407633,
-0.228715,
-0.649253,
-0.103891,
-0.116068
],
"network.6.weight": [
[
-0.575388,
0.650655,
-0.079375,
1.176942,
0.425782
],
[
0.315722,
-0.371176,
0.005557,
0.017441,
-0.073412
],
[
-0.336657,
-0.323395,
-0.245924,
-0.433458,
-0.154115
],
[
0.665744,
0.152352,
-0.199373,
-0.100419,
0.014519
],
[
-0.409817,
0.696124,
0.078186,
0.198731,
0.441007
]
],
"network.6.bias": [
-0.309361,
-0.547625,
-0.432613,
0.902974,
-0.386449
],
"network.8.weight": [
[
-0.883407,
0.001435,
-0.357189,
0.733962,
-0.853415
]
],
"network.8.bias": [
0.392844
]
}
## Activation Signature
### 0
mean: [-2.486294, -0.814151, -2.491493, 1.500422, 0.459062]
std: [1.440086, 1.015080, 2.020238, 2.285783, 1.919066]
pca: [[-0.382753, 0.270403, 0.412649, -0.130592, 0.770097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.205403, 0.042622, 0.232432, 0.946248, -0.081138, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.597498, 0.309549, 0.306473, -0.271740, -0.615961, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637486, 0.158281, 0.737439, -0.062277, -0.144445, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.218903, 0.896768, -0.371422, 0.099196, 0.009762, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.752402, 23.029616, 24.689772, 28.504426, 223.766470], [16.369893, 19.104329, 19.163964, 20.731664, 73.273555], [31.245191, 32.918699, 34.200042, 42.401093, 224.234434], [38.239616, 39.525790, 44.217046, 50.850926, 135.038008], [27.122674, 29.030750, 29.344817, 29.783481, 41.315582]]
### 2
mean: [-1.208658, 1.993856, 0.657255, 1.411306, 2.114225]
std: [1.103525, 2.297255, 0.756440, 1.848582, 2.719738]
pca: [[-0.260098, -0.286318, -0.149394, 0.781437, -0.466272, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.547128, -0.405765, 0.614403, -0.081620, -0.389684, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.115493, 0.777725, 0.539581, 0.246526, -0.172868, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.444215, -0.027991, 0.096906, 0.566083, 0.687058, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.649873, 0.384367, -0.547405, 0.038340, -0.358895, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.023943, 18.438330, 22.802541, 24.772502, 108.779235], [33.503580, 36.705072, 46.450478, 48.231661, 179.447006], [11.419384, 11.939411, 12.563862, 15.795701, 59.152910], [28.391425, 28.983199, 37.927861, 40.274618, 127.017497], [43.581360, 45.115119, 55.913887, 60.687374, 190.280208]]
### 4
mean: [-0.732904, 1.852866, -3.417182, 2.740062, -2.442196]
std: [0.568247, 3.033163, 3.468314, 4.363932, 2.053671]
pca: [[-0.079029, -0.527073, 0.355932, 0.635183, -0.431049, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.453846, -0.113744, 0.350737, 0.281774, 0.760706, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.518413, 0.443631, -0.262383, 0.629435, 0.263451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.652287, 0.570574, -0.022508, 0.294139, -0.402421, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305858, 0.432311, 0.825194, -0.185577, -0.064611, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.893583, 9.000042, 10.314737, 10.457724, 65.961353], [47.772469, 47.853737, 63.447897, 64.010641, 166.757921], [54.429647, 54.902488, 72.584409, 74.345505, 307.546415], [66.734712, 69.632281, 90.329210, 90.363470, 246.605593], [31.870867, 33.085688, 42.968057, 44.952990, 219.797648]]
### 6
mean: [4.692037, -1.273901, -2.450638, 0.913134, 1.690236]
std: [6.638365, 0.980326, 2.681802, 0.037262, 2.780425]
pca: [[0.857401, -0.365829, -0.050128, 0.005988, 0.358447, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126452, -0.510179, 0.836163, 0.117890, -0.103247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.346383, 0.024197, 0.115216, -0.317996, 0.874664, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.002803, 0.306839, 0.099015, 0.895997, 0.305331, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.359005, 0.714948, 0.524632, -0.286590, -0.050908, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[99.285194, 112.918204, 136.948333, 143.503247, 422.283315], [15.069524, 16.488374, 20.561488, 21.310465, 114.651062], [40.203744, 45.581348, 55.403106, 58.005808, 220.557403], [0.569235, 0.573454, 0.583871, 0.762160, 82.182068], [42.227321, 47.025124, 57.892470, 60.310400, 152.121200]]
### 8
mean: [-4.740825]
std: [8.061910]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[119.266689, 138.719289, 166.930877, 175.679664, 426.674300]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -2.4862940311431885, "std": 1.4400864839553833, "pca": [-0.3827526271343231, 0.2704031467437744, 0.4126489758491516, -0.13059189915657043, 0.7700968384742737, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [22.752402358592626, 23.029615530774134, 24.6897722564378, 28.504426041502487, 223.76647037267685]}, "1": {"mean": -0.8141505718231201, "std": 1.0150796175003052, "pca": [-0.2054029256105423, 0.042621858417987823, 0.2324322611093521, 0.9462477564811707, -0.08113816380500793, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.369893062412114, 19.104329012329444, 19.163964108121924, 20.731663836214995, 73.27355452626944]}, "2": {"mean": -2.4914934635162354, "std": 2.020237684249878, "pca": [-0.5974975824356079, 0.3095487654209137, 0.30647292733192444, -0.2717400789260864, -0.6159608960151672, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.245191065588898, 32.918699405072005, 34.200041624033, 42.40109260143322, 224.23443362116814]}, "3": {"mean": 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63.44789683575119, 64.01064096491893, 166.7579211294651]}, "2": {"mean": -3.417182445526123, "std": 3.468313694000244, "pca": [-0.518412709236145, 0.443631112575531, -0.2623825669288635, 0.6294353604316711, 0.26345062255859375, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [54.429646974611806, 54.90248779609238, 72.58440876205789, 74.34550518499118, 307.54641500115395]}, "3": {"mean": 2.7400622367858887, "std": 4.363931655883789, "pca": [0.6522865891456604, 0.5705744624137878, -0.02250835858285427, 0.2941388487815857, -0.4024210572242737, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [66.73471241240328, 69.63228080631713, 90.32920997617131, 90.36346968384095, 246.60559259355068]}, "4": {"mean": -2.4421961307525635, "std": 2.053670883178711, "pca": [-0.3058580160140991, 0.43231073021888733, 0.8251937627792358, -0.18557724356651306, -0.06461111456155777, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.870867035491543, 33.08568779997102, 42.968057367336556, 44.95298984483806, 219.79764807224274]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 4.692037105560303, "std": 6.638364791870117, "pca": [0.8574010133743286, -0.3658286929130554, -0.05012825131416321, 0.005988420452922583, 0.35844686627388, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [99.28519406062657, 112.91820364678843, 136.94833264647946, 143.50324698669976, 422.283315166831]}, "1": {"mean": -1.2739006280899048, "std": 0.9803258180618286, "pca": [-0.12645196914672852, -0.5101790428161621, 0.8361634016036987, 0.11789000779390335, -0.1032472774386406, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.069524321245167, 16.488373707870924, 20.561487636595494, 21.310464704178813, 114.65106183290482]}, "2": {"mean": -2.4506378173828125, "std": 2.6818015575408936, "pca": [-0.34638258814811707, 0.02419693022966385, 0.11521586775779724, -0.31799641251564026, 0.8746640682220459, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [40.20374416047165, 45.581347725877066, 55.403106188461756, 58.005807919018665, 220.55740252137184]}, "3": {"mean": 0.9131340980529785, "std": 0.03726201504468918, "pca": [0.002803311450406909, 0.3068394362926483, 0.09901539236307144, 0.8959969878196716, 0.30533111095428467, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [0.5692348949824739, 0.573453765151804, 0.5838705452535418, 0.7621604029638188, 82.18206769227982]}, "4": {"mean": 1.6902356147766113, "std": 2.7804248332977295, "pca": [0.35900506377220154, 0.7149481177330017, 0.524632453918457, -0.28658992052078247, -0.050907544791698456, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [42.227321068748985, 47.02512353088629, 57.89246983353174, 60.31040004799179, 152.1212003827095]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -4.740825176239014, "std": 8.061909675598145, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [119.26668937275946, 138.71928940390495, 166.93087652485625, 175.6796642825278, 426.67430002987385]}}, "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": [[-0.152523, -0.266037, -0.412366, -0.22539, -0.174628], [-0.156164, 0.272199, -0.444135, -0.114929, -0.066248], [-0.395929, -0.289121, -0.382553, -0.367224, -0.347922], [0.768441, -0.183437, -0.268618, 0.215745, 0.843821], [-0.383052, -0.419603, 0.063754, 0.514932, 0.63284]], "network.0.bias": [-0.251611, 0.140092, 0.543768, -0.063848, -0.317561], "network.2.weight": [[-0.134215, -0.118456, 0.051752, -0.455434, -0.193677], [-0.248655, -0.03403, -0.487046, 0.629724, 0.971168], [-0.548074, 0.495313, 0.493417, 0.097342, -0.578872], [0.173094, 0.057978, -0.478201, 0.606717, 0.614329], [0.020101, 0.063201, -0.690911, 1.022549, 0.652035]], "network.2.bias": [-0.248589, 0.033566, 0.975564, -0.176475, -0.197607], "network.4.weight": [[-0.363447, -0.494058, 0.18566, 0.32399, 0.021515], [-0.162482, 0.106655, -0.489185, 0.564721, 0.63834], [-0.449388, -0.455538, 0.212104, 0.061344, -0.954211], [-0.185022, 0.544473, -0.899224, 0.766539, 0.591533], [0.143608, -0.710198, -0.535032, -0.006512, -0.212371]], "network.4.bias": [-0.407633, -0.228715, -0.649253, -0.103891, -0.116068], "network.6.weight": [[-0.575388, 0.650655, -0.079375, 1.176942, 0.425782], [0.315722, -0.371176, 0.005557, 0.017441, -0.073412], [-0.336657, -0.323395, -0.245924, -0.433458, -0.154115], [0.665744, 0.152352, -0.199373, -0.100419, 0.014519], [-0.409817, 0.696124, 0.078186, 0.198731, 0.441007]], "network.6.bias": [-0.309361, -0.547625, -0.432613, 0.902974, -0.386449], "network.8.weight": [[-0.883407, 0.001435, -0.357189, 0.733962, -0.853415]], "network.8.bias": [0.392844]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684474378824234, "train_acc": 0.57, "val_loss": 0.7038735747337341, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6860567629337311, "train_acc": 0.57, "val_loss": 0.7086360454559326, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6790019273757935, "train_acc": 0.57, "val_loss": 0.7012037634849548, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6565523445606232, "train_acc": 0.57, "val_loss": 0.6664444208145142, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.619478702545166, "train_acc": 0.505, "val_loss": 0.5264133214950562, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.49761684238910675, "train_acc": 0.635, "val_loss": 0.44347083568573, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4305381327867508, "train_acc": 0.835, "val_loss": 0.4010862112045288, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.36729249358177185, "train_acc": 0.89, "val_loss": 0.3845512270927429, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3143712133169174, "train_acc": 0.89, "val_loss": 0.3211662173271179, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.25495124608278275, "train_acc": 0.895, "val_loss": 0.29491302371025085, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.26795899868011475, "train_acc": 0.895, "val_loss": 0.30448025465011597, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.27037280052900314, "train_acc": 0.9, "val_loss": 0.25262829661369324, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2700263410806656, "train_acc": 0.905, "val_loss": 0.8022341132164001, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.44332462549209595, "train_acc": 0.845, "val_loss": 0.4038486182689667, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7038735747337341, "final_val_loss": 0.6664444208145142, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5264133214950562, "final_val_loss": 0.4038486182689667, "initial_val_acc": 0.48, "final_val_acc": 0.86, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.44000000000000006, "first_improvement_epoch": 3}}
|
9,921
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9697, "learning_rate": 0.01583567918075014, "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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[
-0.192709,
-0.395899,
0.161894,
0.230694,
-0.235792
],
[
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0.132817
],
[
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0.075145
],
[
-0.046804,
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0.180622,
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],
[
-0.120075,
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-0.119759,
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],
[
0.419693,
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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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"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: [-0.259622, -1.204769, 0.317174, 0.952292, -0.426353, 0.631649, 1.724615]
std: [0.973204, 1.128033, 1.002959, 1.418680, 0.959401, 1.289401, 1.458649]
pca: [[-0.205344, -0.404749, -0.359358, -0.135692, -0.412122, 0.680141, -0.118426, 0.000000, 0.000000, 0.000000], [-0.187509, -0.208774, 0.787498, 0.270448, -0.342728, 0.134447, 0.304006, 0.000000, 0.000000, 0.000000], [0.281824, 0.400254, -0.072198, -0.362051, -0.088976, 0.286250, 0.730905, 0.000000, 0.000000, 0.000000], [-0.463154, 0.422885, -0.378132, 0.577158, -0.279081, -0.106525, 0.203293, 0.000000, 0.000000, 0.000000], [-0.400605, 0.243814, 0.175190, 0.060869, 0.679042, 0.530438, -0.056671, 0.000000, 0.000000, 0.000000], [0.284930, 0.601040, 0.236707, 0.013043, -0.357809, 0.258130, -0.553810, 0.000000, 0.000000, 0.000000], [0.622148, -0.181278, -0.125658, 0.663610, 0.194335, 0.279372, 0.089930, 0.000000, 0.000000, 0.000000]]
fourier: [[14.396375, 14.605341, 15.177140, 19.315801, 23.365990], [19.234886, 19.509183, 21.817392, 23.132198, 108.429206], [16.887209, 17.386041, 18.307208, 21.839165, 28.545687], [21.400975, 24.264542, 25.273031, 25.637845, 85.706248], [15.106688, 15.532644, 17.218121, 17.408308, 38.371792], [19.681085, 20.613888, 20.723710, 21.392199, 56.848373], [21.092788, 23.008963, 26.926366, 32.513840, 155.215382]]
### 2
mean: [-0.247641, 0.696955, 1.250342, 0.161368, 0.726822, 0.494216, -0.190488]
std: [0.257927, 0.788069, 1.201181, 1.140023, 0.685082, 0.654379, 1.200890]
pca: [[0.005506, -0.102265, 0.266390, 0.303746, 0.784229, -0.430194, -0.161878, 0.000000, 0.000000, 0.000000], [-0.326341, -0.115726, 0.776744, 0.062753, 0.000935, 0.512652, 0.100132, 0.000000, 0.000000, 0.000000], [0.512310, 0.491051, 0.403097, -0.561739, 0.077383, -0.093321, -0.060598, 0.000000, 0.000000, 0.000000], [0.530645, -0.358765, 0.264475, 0.309806, -0.310162, -0.278891, 0.499797, 0.000000, 0.000000, 0.000000], [0.191940, 0.435460, 0.116976, 0.641773, -0.301852, 0.063456, -0.502830, 0.000000, 0.000000, 0.000000], [0.134393, 0.462854, -0.233519, 0.281418, 0.367022, 0.394194, 0.586416, 0.000000, 0.000000, 0.000000], [0.542700, -0.449942, -0.158292, -0.034657, 0.238698, 0.553368, -0.337015, 0.000000, 0.000000, 0.000000]]
fourier: [[3.594458, 4.138159, 4.577702, 4.901381, 22.287732], [11.156349, 11.697932, 12.176868, 13.810637, 62.725983], [19.775682, 19.915365, 20.208191, 21.094546, 112.530841], [16.916540, 17.531604, 17.770290, 19.268195, 24.896071], [11.560253, 11.825178, 13.351037, 13.525324, 65.414010], [11.282927, 12.129182, 12.780092, 13.075608, 44.479432], [17.305981, 17.840050, 19.330780, 20.717001, 25.340307]]
### 4
mean: [-0.304671, 0.703789, 0.349088, 1.592232, -0.453074, -0.173876, 0.636596]
std: [0.725673, 1.108979, 0.839203, 1.962706, 0.356596, 0.570510, 1.139867]
pca: [[-0.243253, -0.431250, 0.231038, 0.372832, -0.160788, 0.732246, 0.020792, 0.000000, 0.000000, 0.000000], [0.401535, 0.029210, -0.200095, 0.298733, 0.521658, 0.157954, 0.641530, 0.000000, 0.000000, 0.000000], [0.281792, 0.453759, 0.554814, 0.177684, -0.519867, -0.027997, 0.322895, 0.000000, 0.000000, 0.000000], [0.710792, -0.101076, 0.298394, -0.123515, 0.232313, 0.211418, -0.530657, 0.000000, 0.000000, 0.000000], [-0.022271, 0.538223, -0.370952, 0.605990, -0.007558, 0.128743, -0.434004, 0.000000, 0.000000, 0.000000], [-0.195597, -0.212941, 0.487896, 0.512086, 0.359075, -0.522883, -0.117400, 0.000000, 0.000000, 0.000000], [0.395237, -0.511888, -0.366167, 0.308985, -0.498796, -0.321565, 0.002606, 0.000000, 0.000000, 0.000000]]
fourier: [[11.601861, 13.075623, 13.250676, 15.667429, 27.420422], [19.404383, 19.466415, 19.548263, 19.581082, 63.341028], [14.063613, 14.429734, 15.416074, 16.093639, 31.417874], [31.856565, 34.391032, 35.784931, 36.606138, 143.300880], [6.036639, 6.357683, 6.490685, 7.369464, 40.776619], [8.982882, 9.664451, 10.202304, 12.023326, 15.648801], [17.675165, 18.949753, 21.159624, 25.163919, 57.293606]]
### 6
mean: [2.028550, 1.550701, -0.639925, -0.616882, -0.645227, -0.091862, -0.588462]
std: [2.582962, 2.014576, 1.640286, 0.755883, 1.051020, 0.948142, 1.616817]
pca: [[0.600420, 0.258809, -0.298742, 0.026843, 0.467008, 0.501822, -0.112357, 0.000000, 0.000000, 0.000000], [0.467867, 0.021595, 0.755548, 0.220295, 0.222237, -0.313895, 0.115461, 0.000000, 0.000000, 0.000000], [-0.380079, -0.422084, 0.297465, 0.190227, 0.402819, 0.348326, -0.518767, 0.000000, 0.000000, 0.000000], [-0.171071, 0.526103, 0.228922, 0.544199, -0.410381, 0.420611, -0.008137, 0.000000, 0.000000, 0.000000], [-0.239767, 0.634072, -0.054746, -0.084258, 0.307869, -0.460572, -0.472714, 0.000000, 0.000000, 0.000000], [-0.220116, -0.071543, -0.334842, 0.642270, 0.422201, -0.228391, 0.437475, 0.000000, 0.000000, 0.000000], [-0.375408, 0.265418, 0.289642, -0.445871, 0.358890, 0.295145, 0.538531, 0.000000, 0.000000, 0.000000]]
fourier: [[39.963264, 47.563437, 47.788043, 51.703824, 182.569479], [31.006774, 36.941856, 36.992197, 38.630713, 139.563098], [25.153161, 30.153455, 30.475869, 34.265662, 57.593230], [12.325116, 12.810129, 12.818423, 14.416093, 55.519391], [17.527196, 17.863034, 18.364253, 19.925792, 58.070479], [14.055174, 14.305930, 17.336404, 17.410549, 18.611378], [25.317038, 29.159645, 29.771526, 30.615675, 52.961596]]
### 8
mean: [-1.510357]
std: [2.260785]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.925037, 40.849941, 41.205159, 41.666689, 135.932156]]
## 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:
{
"network.0.weight": [
[
-0.192709,
-0.395899,
0.161894,
0.230694,
-0.235792
],
[
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-0.383305,
-0.230844,
0.132817
],
[
0.448222,
0.027303,
0.013166,
-0.117817,
0.075145
],
[
-0.046804,
0.459746,
0.180622,
0.237556,
-0.486964
],
[
-0.120075,
0.386911,
-0.022849,
-0.119759,
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],
[
0.419693,
0.393449,
-0.153926,
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0.197508
],
[
0.017212,
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0.031312,
0.176153,
0.727119
]
],
"network.0.bias": [
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0.60309
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"network.2.weight": [
[
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],
[
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[
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],
[
0.66398,
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0.090688,
0.217017,
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0.520872,
0.038974
],
[
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0.068223,
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0.189909,
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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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0.167286,
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],
[
0.019226,
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0.024459,
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[
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[
0.219637,
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0.036448,
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[
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[
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0.418133,
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]
],
"network.4.bias": [
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"network.6.weight": [
[
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],
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0.232177,
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[
-0.100661,
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],
[
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[
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[
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[
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]
],
"network.6.bias": [
0.079195,
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],
"network.8.weight": [
[
-0.321358,
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]
],
"network.8.bias": [
-0.178001
]
}
## Activation Signature
### 0
mean: [-0.259622, -1.204769, 0.317174, 0.952292, -0.426353, 0.631649, 1.724615]
std: [0.973204, 1.128033, 1.002959, 1.418680, 0.959401, 1.289401, 1.458649]
pca: [[-0.205344, -0.404749, -0.359358, -0.135692, -0.412122, 0.680141, -0.118426, 0.000000, 0.000000, 0.000000], [-0.187509, -0.208774, 0.787498, 0.270448, -0.342728, 0.134447, 0.304006, 0.000000, 0.000000, 0.000000], [0.281824, 0.400254, -0.072198, -0.362051, -0.088976, 0.286250, 0.730905, 0.000000, 0.000000, 0.000000], [-0.463154, 0.422885, -0.378132, 0.577158, -0.279081, -0.106525, 0.203293, 0.000000, 0.000000, 0.000000], [-0.400605, 0.243814, 0.175190, 0.060869, 0.679042, 0.530438, -0.056671, 0.000000, 0.000000, 0.000000], [0.284930, 0.601040, 0.236707, 0.013043, -0.357809, 0.258130, -0.553810, 0.000000, 0.000000, 0.000000], [0.622148, -0.181278, -0.125658, 0.663610, 0.194335, 0.279372, 0.089930, 0.000000, 0.000000, 0.000000]]
fourier: [[14.396375, 14.605341, 15.177140, 19.315801, 23.365990], [19.234886, 19.509183, 21.817392, 23.132198, 108.429206], [16.887209, 17.386041, 18.307208, 21.839165, 28.545687], [21.400975, 24.264542, 25.273031, 25.637845, 85.706248], [15.106688, 15.532644, 17.218121, 17.408308, 38.371792], [19.681085, 20.613888, 20.723710, 21.392199, 56.848373], [21.092788, 23.008963, 26.926366, 32.513840, 155.215382]]
### 2
mean: [-0.247641, 0.696955, 1.250342, 0.161368, 0.726822, 0.494216, -0.190488]
std: [0.257927, 0.788069, 1.201181, 1.140023, 0.685082, 0.654379, 1.200890]
pca: [[0.005506, -0.102265, 0.266390, 0.303746, 0.784229, -0.430194, -0.161878, 0.000000, 0.000000, 0.000000], [-0.326341, -0.115726, 0.776744, 0.062753, 0.000935, 0.512652, 0.100132, 0.000000, 0.000000, 0.000000], [0.512310, 0.491051, 0.403097, -0.561739, 0.077383, -0.093321, -0.060598, 0.000000, 0.000000, 0.000000], [0.530645, -0.358765, 0.264475, 0.309806, -0.310162, -0.278891, 0.499797, 0.000000, 0.000000, 0.000000], [0.191940, 0.435460, 0.116976, 0.641773, -0.301852, 0.063456, -0.502830, 0.000000, 0.000000, 0.000000], [0.134393, 0.462854, -0.233519, 0.281418, 0.367022, 0.394194, 0.586416, 0.000000, 0.000000, 0.000000], [0.542700, -0.449942, -0.158292, -0.034657, 0.238698, 0.553368, -0.337015, 0.000000, 0.000000, 0.000000]]
fourier: [[3.594458, 4.138159, 4.577702, 4.901381, 22.287732], [11.156349, 11.697932, 12.176868, 13.810637, 62.725983], [19.775682, 19.915365, 20.208191, 21.094546, 112.530841], [16.916540, 17.531604, 17.770290, 19.268195, 24.896071], [11.560253, 11.825178, 13.351037, 13.525324, 65.414010], [11.282927, 12.129182, 12.780092, 13.075608, 44.479432], [17.305981, 17.840050, 19.330780, 20.717001, 25.340307]]
### 4
mean: [-0.304671, 0.703789, 0.349088, 1.592232, -0.453074, -0.173876, 0.636596]
std: [0.725673, 1.108979, 0.839203, 1.962706, 0.356596, 0.570510, 1.139867]
pca: [[-0.243253, -0.431250, 0.231038, 0.372832, -0.160788, 0.732246, 0.020792, 0.000000, 0.000000, 0.000000], [0.401535, 0.029210, -0.200095, 0.298733, 0.521658, 0.157954, 0.641530, 0.000000, 0.000000, 0.000000], [0.281792, 0.453759, 0.554814, 0.177684, -0.519867, -0.027997, 0.322895, 0.000000, 0.000000, 0.000000], [0.710792, -0.101076, 0.298394, -0.123515, 0.232313, 0.211418, -0.530657, 0.000000, 0.000000, 0.000000], [-0.022271, 0.538223, -0.370952, 0.605990, -0.007558, 0.128743, -0.434004, 0.000000, 0.000000, 0.000000], [-0.195597, -0.212941, 0.487896, 0.512086, 0.359075, -0.522883, -0.117400, 0.000000, 0.000000, 0.000000], [0.395237, -0.511888, -0.366167, 0.308985, -0.498796, -0.321565, 0.002606, 0.000000, 0.000000, 0.000000]]
fourier: [[11.601861, 13.075623, 13.250676, 15.667429, 27.420422], [19.404383, 19.466415, 19.548263, 19.581082, 63.341028], [14.063613, 14.429734, 15.416074, 16.093639, 31.417874], [31.856565, 34.391032, 35.784931, 36.606138, 143.300880], [6.036639, 6.357683, 6.490685, 7.369464, 40.776619], [8.982882, 9.664451, 10.202304, 12.023326, 15.648801], [17.675165, 18.949753, 21.159624, 25.163919, 57.293606]]
### 6
mean: [2.028550, 1.550701, -0.639925, -0.616882, -0.645227, -0.091862, -0.588462]
std: [2.582962, 2.014576, 1.640286, 0.755883, 1.051020, 0.948142, 1.616817]
pca: [[0.600420, 0.258809, -0.298742, 0.026843, 0.467008, 0.501822, -0.112357, 0.000000, 0.000000, 0.000000], [0.467867, 0.021595, 0.755548, 0.220295, 0.222237, -0.313895, 0.115461, 0.000000, 0.000000, 0.000000], [-0.380079, -0.422084, 0.297465, 0.190227, 0.402819, 0.348326, -0.518767, 0.000000, 0.000000, 0.000000], [-0.171071, 0.526103, 0.228922, 0.544199, -0.410381, 0.420611, -0.008137, 0.000000, 0.000000, 0.000000], [-0.239767, 0.634072, -0.054746, -0.084258, 0.307869, -0.460572, -0.472714, 0.000000, 0.000000, 0.000000], [-0.220116, -0.071543, -0.334842, 0.642270, 0.422201, -0.228391, 0.437475, 0.000000, 0.000000, 0.000000], [-0.375408, 0.265418, 0.289642, -0.445871, 0.358890, 0.295145, 0.538531, 0.000000, 0.000000, 0.000000]]
fourier: [[39.963264, 47.563437, 47.788043, 51.703824, 182.569479], [31.006774, 36.941856, 36.992197, 38.630713, 139.563098], [25.153161, 30.153455, 30.475869, 34.265662, 57.593230], [12.325116, 12.810129, 12.818423, 14.416093, 55.519391], [17.527196, 17.863034, 18.364253, 19.925792, 58.070479], [14.055174, 14.305930, 17.336404, 17.410549, 18.611378], [25.317038, 29.159645, 29.771526, 30.615675, 52.961596]]
### 8
mean: [-1.510357]
std: [2.260785]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.925037, 40.849941, 41.205159, 41.666689, 135.932156]]
## 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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9,922
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{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.92, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9521, "learning_rate": 0.09947627825503975, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [2.007478, -0.152012, 1.747309, -1.309538, -3.934222]
std: [1.534632, 0.857326, 1.938383, 1.254753, 2.529405]
pca: [[-0.288494, -0.526927, 0.786888, -0.081737, -0.115092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.103368, -0.344618, -0.051384, 0.052388, 0.930144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443135, 0.600947, 0.331564, 0.514104, 0.261258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.301591, -0.364982, -0.077938, 0.849101, -0.220871, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786613, 0.330510, 0.512014, -0.072793, 0.067422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.809198, 25.099245, 27.337971, 28.904250, 180.673052], [14.196786, 14.207237, 15.344751, 15.428464, 19.659086], [33.266819, 33.327553, 36.551027, 39.039415, 157.257782], [18.865593, 22.410217, 23.869570, 25.249875, 117.858458], [40.792626, 41.591816, 43.786075, 43.937458, 354.079975]]
### 2
mean: [0.950945, 0.546637, 1.010163, 1.109321, 0.430683]
std: [1.341368, 1.537513, 0.656627, 0.840851, 1.324865]
pca: [[-0.514107, 0.425162, -0.032344, 0.732565, -0.131278, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.603717, 0.312289, -0.082210, 0.353074, 0.637638, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221975, 0.391033, 0.792805, -0.296628, 0.285119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.208290, 0.750475, -0.308946, -0.374231, -0.397374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.527791, -0.074788, 0.517889, 0.332641, -0.580504, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.497179, 22.657398, 25.708493, 27.445845, 85.585060], [26.069566, 30.274536, 30.499271, 30.588779, 49.197353], [11.092247, 11.446556, 12.044925, 12.090597, 90.914675], [12.778478, 13.777284, 14.436656, 16.373545, 99.838865], [22.658662, 24.694376, 26.193602, 27.598280, 38.761508]]
### 4
mean: [0.857179, 1.335316, 1.334827, 0.873431, 0.615521]
std: [1.885534, 0.646325, 1.418813, 0.463870, 1.504124]
pca: [[0.679871, 0.193716, -0.089350, -0.291983, 0.637975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.130986, 0.587117, 0.001419, -0.557018, -0.572594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.460911, 0.687118, -0.357648, 0.255700, 0.349478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139749, 0.268623, 0.928363, 0.033826, 0.212862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537261, 0.271067, 0.047378, 0.733451, -0.312536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.770738, 34.815783, 38.657322, 41.235855, 77.146143], [9.060499, 10.576322, 11.784216, 12.607324, 120.178424], [23.748727, 24.141477, 27.599086, 28.622249, 120.134451], [7.440067, 7.656794, 8.804974, 9.181536, 78.608748], [26.094726, 27.837060, 30.252532, 32.943190, 55.396866]]
### 6
mean: [0.356428, 1.026230, 1.800067, 0.945799, 1.170268]
std: [1.614909, 2.094871, 0.663472, 2.083468, 0.821842]
pca: [[0.460463, -0.370411, 0.131493, -0.388676, 0.694557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602587, 0.143311, 0.330850, -0.383118, -0.600092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.122015, 0.832784, -0.373585, -0.265877, 0.285179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599675, 0.109370, -0.037159, 0.784617, 0.106876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224421, 0.369820, 0.855746, 0.125844, 0.254422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.211937, 31.916294, 32.078496, 32.758392, 35.258072], [36.299350, 42.341342, 42.408626, 45.251977, 92.360704], [9.900330, 10.656004, 11.188287, 12.049488, 162.006079], [36.445425, 41.843446, 42.477644, 45.468246, 85.121930], [15.230943, 15.981595, 16.722563, 17.684939, 105.324124]]
### 8
mean: [-1.182290, -1.342793, 1.081507, -0.565101, 2.776681]
std: [0.887045, 0.405848, 1.761767, 1.236141, 3.332867]
pca: [[-0.215607, 0.325786, -0.413312, 0.645042, 0.510363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025392, 0.939393, 0.150856, -0.207326, -0.226175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.433441, 0.081503, -0.287727, -0.575618, 0.625590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303959, -0.008603, 0.780855, -0.028116, 0.544986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.820126, 0.068469, 0.337482, 0.456956, -0.001474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.711065, 16.062679, 16.980997, 18.469278, 106.406060], [6.359268, 6.986874, 7.358194, 8.074139, 120.851368], [27.340484, 33.857621, 34.422661, 39.050370, 97.335626], [18.713829, 23.322345, 24.172125, 27.481795, 50.859073], [51.750128, 64.201589, 64.899577, 73.452324, 249.901292]]
### 10
mean: [-2.602430]
std: [2.874898]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.223500, 53.487019, 56.098652, 63.453997, 234.218708]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [2.007478, -0.152012, 1.747309, -1.309538, -3.934222]
std: [1.534632, 0.857326, 1.938383, 1.254753, 2.529405]
pca: [[-0.288494, -0.526927, 0.786888, -0.081737, -0.115092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.103368, -0.344618, -0.051384, 0.052388, 0.930144, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.443135, 0.600947, 0.331564, 0.514104, 0.261258, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.301591, -0.364982, -0.077938, 0.849101, -0.220871, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.786613, 0.330510, 0.512014, -0.072793, 0.067422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.809198, 25.099245, 27.337971, 28.904250, 180.673052], [14.196786, 14.207237, 15.344751, 15.428464, 19.659086], [33.266819, 33.327553, 36.551027, 39.039415, 157.257782], [18.865593, 22.410217, 23.869570, 25.249875, 117.858458], [40.792626, 41.591816, 43.786075, 43.937458, 354.079975]]
### 2
mean: [0.950945, 0.546637, 1.010163, 1.109321, 0.430683]
std: [1.341368, 1.537513, 0.656627, 0.840851, 1.324865]
pca: [[-0.514107, 0.425162, -0.032344, 0.732565, -0.131278, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.603717, 0.312289, -0.082210, 0.353074, 0.637638, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.221975, 0.391033, 0.792805, -0.296628, 0.285119, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.208290, 0.750475, -0.308946, -0.374231, -0.397374, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.527791, -0.074788, 0.517889, 0.332641, -0.580504, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.497179, 22.657398, 25.708493, 27.445845, 85.585060], [26.069566, 30.274536, 30.499271, 30.588779, 49.197353], [11.092247, 11.446556, 12.044925, 12.090597, 90.914675], [12.778478, 13.777284, 14.436656, 16.373545, 99.838865], [22.658662, 24.694376, 26.193602, 27.598280, 38.761508]]
### 4
mean: [0.857179, 1.335316, 1.334827, 0.873431, 0.615521]
std: [1.885534, 0.646325, 1.418813, 0.463870, 1.504124]
pca: [[0.679871, 0.193716, -0.089350, -0.291983, 0.637975, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.130986, 0.587117, 0.001419, -0.557018, -0.572594, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.460911, 0.687118, -0.357648, 0.255700, 0.349478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.139749, 0.268623, 0.928363, 0.033826, 0.212862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537261, 0.271067, 0.047378, 0.733451, -0.312536, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.770738, 34.815783, 38.657322, 41.235855, 77.146143], [9.060499, 10.576322, 11.784216, 12.607324, 120.178424], [23.748727, 24.141477, 27.599086, 28.622249, 120.134451], [7.440067, 7.656794, 8.804974, 9.181536, 78.608748], [26.094726, 27.837060, 30.252532, 32.943190, 55.396866]]
### 6
mean: [0.356428, 1.026230, 1.800067, 0.945799, 1.170268]
std: [1.614909, 2.094871, 0.663472, 2.083468, 0.821842]
pca: [[0.460463, -0.370411, 0.131493, -0.388676, 0.694557, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.602587, 0.143311, 0.330850, -0.383118, -0.600092, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.122015, 0.832784, -0.373585, -0.265877, 0.285179, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.599675, 0.109370, -0.037159, 0.784617, 0.106876, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.224421, 0.369820, 0.855746, 0.125844, 0.254422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.211937, 31.916294, 32.078496, 32.758392, 35.258072], [36.299350, 42.341342, 42.408626, 45.251977, 92.360704], [9.900330, 10.656004, 11.188287, 12.049488, 162.006079], [36.445425, 41.843446, 42.477644, 45.468246, 85.121930], [15.230943, 15.981595, 16.722563, 17.684939, 105.324124]]
### 8
mean: [-1.182290, -1.342793, 1.081507, -0.565101, 2.776681]
std: [0.887045, 0.405848, 1.761767, 1.236141, 3.332867]
pca: [[-0.215607, 0.325786, -0.413312, 0.645042, 0.510363, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.025392, 0.939393, 0.150856, -0.207326, -0.226175, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.433441, 0.081503, -0.287727, -0.575618, 0.625590, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303959, -0.008603, 0.780855, -0.028116, 0.544986, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.820126, 0.068469, 0.337482, 0.456956, -0.001474, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.711065, 16.062679, 16.980997, 18.469278, 106.406060], [6.359268, 6.986874, 7.358194, 8.074139, 120.851368], [27.340484, 33.857621, 34.422661, 39.050370, 97.335626], [18.713829, 23.322345, 24.172125, 27.481795, 50.859073], [51.750128, 64.201589, 64.899577, 73.452324, 249.901292]]
### 10
mean: [-2.602430]
std: [2.874898]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.223500, 53.487019, 56.098652, 63.453997, 234.218708]]
## 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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"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": [[-0.601586, 0.231094, 0.438035, 0.155164, 0.400572], [-0.428781, 0.048619, 0.013002, 0.038351, -0.026506], [0.763611, 0.139001, 0.237066, 0.018172, 0.157937], [-0.465403, -0.163699, -0.064085, -0.001317, -0.206191], [0.162011, -0.416542, -0.572855, -0.598168, -0.632927]], "network.0.bias": [0.593227, 0.216278, -0.185217, -0.041081, -0.116826], "network.2.weight": [[-0.230148, 0.283199, 0.67711, -0.593195, -0.1022], [0.700627, -0.729465, -0.582289, -0.73002, -0.028422], [0.019667, 0.44467, 0.355941, 0.294598, -0.752403], [0.604829, -0.785, -0.058116, -0.568894, 0.132631], [0.409963, -0.093705, -0.583608, 0.04179, 0.149236]], "network.2.bias": [0.181894, 0.13554, 0.324594, 0.034585, 0.60413], "network.4.weight": [[-0.236642, 0.786282, -0.745097, 0.378779, 0.776239], [0.151375, 0.172705, 0.102206, 0.508569, 0.418108], [0.672852, -0.359821, 0.520941, 0.370714, -0.14721], [0.135068, -0.292433, 0.219961, 0.335715, -0.11924], [-0.028351, 0.760956, -0.78919, 0.422088, 0.467585]], "network.4.bias": [0.059739, 0.126749, 0.327143, 0.562815, -0.125033], "network.6.weight": [[0.51031, -0.064365, -0.748659, 0.333739, 0.306386], [0.756584, 0.383452, -0.693886, 0.144346, 0.313878], [0.330033, 0.053091, 0.259484, -0.029036, 0.375037], [0.445672, 0.424353, -0.475308, -0.614291, 0.642168], [-0.465772, 0.540506, 0.172494, 0.263945, -0.216839]], "network.6.bias": [0.172813, 0.042191, 0.665844, 0.290861, 0.903276], "network.8.weight": [[0.234995, -0.180285, -0.251443, -0.432637, 0.042737], [0.650033, -0.196544, -0.336358, -0.333613, -0.449204], [0.635717, 0.67, -0.212342, 0.188638, -0.102282], [-0.65336, -0.572644, 0.330594, -0.063326, -0.100804], [0.928377, 0.683284, 0.191842, 0.705032, -0.534944]], "network.8.bias": [-0.118451, -0.06082, -0.195091, 0.420599, 0.287606], "network.10.weight": [[0.0152, -0.349505, -0.351977, 0.336752, -0.711625]], "network.10.bias": [-0.167095]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6635009944438934, "train_acc": 0.6, "val_loss": 0.8755108714103699, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6400947570800781, "train_acc": 0.6, "val_loss": 0.6011422872543335, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4676606059074402, "train_acc": 0.53, "val_loss": 0.4415070414543152, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.31695713847875595, "train_acc": 0.915, "val_loss": 0.29228314757347107, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3077707588672638, "train_acc": 0.9, "val_loss": 0.315634548664093, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.40484172105789185, "train_acc": 0.845, "val_loss": 0.4747856855392456, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5197159051895142, "train_acc": 0.73, "val_loss": 0.3989173173904419, "val_acc": 0.9}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.8755108714103699, "final_val_loss": 0.6011422872543335, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.4415070414543152, "final_val_loss": 0.3989173173904419, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 2}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
9,923
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 1.0, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4561, "learning_rate": 0.08320855359575328, "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: 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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[
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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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}
## Activation Signature
### 0
mean: [-4.254261, -0.168115, -2.461022, 0.527030, -2.808321, 0.246865]
std: [2.538058, 1.932629, 1.851664, 1.469046, 1.680672, 2.275872]
pca: [[0.601856, -0.385086, -0.132507, -0.510013, -0.384849, 0.252384, 0.000000, 0.000000, 0.000000, 0.000000], [0.295584, 0.413703, 0.801380, -0.243711, 0.167073, 0.109368, 0.000000, 0.000000, 0.000000, 0.000000], [0.410349, -0.182019, 0.275610, 0.688084, -0.388408, -0.313372, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328370, -0.247300, 0.265097, 0.277540, -0.198801, 0.802614, 0.000000, 0.000000, 0.000000, 0.000000], [0.301806, -0.491378, 0.017081, 0.176000, 0.791129, 0.101528, 0.000000, 0.000000, 0.000000, 0.000000], [0.427902, 0.587211, -0.440117, 0.314687, 0.087811, 0.414296, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.350826, 39.589062, 49.634381, 50.887977, 382.883505], [29.596779, 30.913713, 33.322906, 36.116564, 45.916890], [28.376017, 32.759174, 32.947293, 35.457555, 221.491943], [22.830859, 23.591000, 24.465571, 26.683084, 47.432679], [25.469154, 25.645647, 29.261634, 29.672196, 252.748850], [32.165478, 33.114220, 37.055903, 38.347924, 41.554277]]
### 2
mean: [-0.698463, 0.754428, 2.508913, -1.080607, 0.542065, 0.013232]
std: [0.542003, 1.270541, 1.893611, 0.666107, 0.831359, 0.724344]
pca: [[0.052441, -0.187472, 0.715031, 0.223013, -0.028244, 0.632694, 0.000000, 0.000000, 0.000000, 0.000000], [0.513479, -0.313886, 0.230819, -0.206851, 0.675040, -0.293379, 0.000000, 0.000000, 0.000000, 0.000000], [0.794216, -0.015406, -0.228533, -0.169363, -0.486897, 0.225842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136465, -0.522961, 0.356667, -0.193839, -0.539099, -0.502470, 0.000000, 0.000000, 0.000000, 0.000000], [0.289927, 0.411453, 0.272546, 0.674271, -0.112596, -0.452823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011399, 0.650623, 0.426301, -0.621755, -0.056116, -0.071397, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.393998, 8.630344, 9.159264, 11.401359, 62.861695], [18.594340, 18.804003, 19.007696, 27.385410, 67.898556], [28.252227, 30.046918, 32.166471, 41.700899, 225.802128], [9.991851, 10.027474, 11.468455, 12.487745, 97.254585], [12.901002, 13.638785, 13.871300, 16.943178, 48.785811], [10.949855, 12.028786, 12.105438, 12.213319, 14.966478]]
### 4
mean: [-0.880734, 4.419999, 2.873972, -2.664508, 2.105278, -0.425635]
std: [0.560762, 3.244024, 2.043969, 2.611203, 1.346438, 0.198776]
pca: [[-0.091692, 0.747648, -0.422984, 0.434879, -0.164426, 0.193760, 0.000000, 0.000000, 0.000000, 0.000000], [0.668018, 0.495866, 0.145268, -0.416482, 0.010490, -0.336450, 0.000000, 0.000000, 0.000000, 0.000000], [0.421773, -0.006028, 0.492488, 0.264969, 0.012131, 0.713562, 0.000000, 0.000000, 0.000000, 0.000000], [-0.537512, 0.392637, 0.723812, 0.004069, 0.021248, -0.180404, 0.000000, 0.000000, 0.000000, 0.000000], [0.277473, -0.159319, 0.148953, 0.753047, 0.082177, -0.549187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.039264, 0.124724, -0.106521, 0.010880, 0.982600, 0.077037, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.275639, 8.527068, 8.814206, 11.719506, 79.266097], [49.647801, 53.494447, 61.701448, 66.441025, 397.799899], [31.076710, 33.436450, 37.987762, 42.778873, 258.657516], [39.844174, 42.567423, 46.345370, 56.285126, 239.805716], [20.406363, 21.906085, 24.384891, 28.621105, 189.474970], [2.828078, 3.011155, 3.162341, 4.374757, 38.307125]]
### 6
mean: [6.767341, -3.966125, 4.512736, -5.206277, -1.356286, -1.499425]
std: [4.862239, 3.389650, 3.252614, 4.197826, 0.747194, 0.783149]
pca: [[0.605424, 0.600604, 0.148455, -0.212519, 0.113384, 0.438951, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422106, 0.308967, 0.614576, 0.432819, -0.319339, 0.243624, 0.000000, 0.000000, 0.000000, 0.000000], [0.404929, -0.446082, 0.673871, 0.131190, 0.352536, -0.203591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.522860, 0.181933, 0.251313, -0.575628, 0.545856, -0.032462, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092990, 0.109807, -0.287774, 0.626824, 0.679916, 0.203190, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096389, -0.547419, -0.013578, -0.161357, -0.025315, 0.814973, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.347684, 79.824202, 90.643780, 101.576995, 609.060699], [52.226780, 55.853909, 63.894877, 70.202775, 356.951301], [49.986029, 53.672397, 61.786877, 66.767517, 406.146294], [64.566760, 69.153204, 78.977688, 87.065812, 468.564972], [11.436356, 12.322020, 14.269746, 15.247747, 122.065723], [11.691600, 12.583808, 13.965091, 16.711081, 134.948245]]
### 8
mean: [8.071158, 6.439924, -4.877041, 2.122804, -8.007223, -1.123717]
std: [5.831871, 4.628219, 4.098417, 1.740561, 5.299677, 0.776944]
pca: [[0.572065, 0.122210, -0.411848, 0.105344, 0.389808, 0.570210, 0.000000, 0.000000, 0.000000, 0.000000], [0.453982, -0.256138, 0.351491, 0.210192, 0.518583, -0.540036, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401897, 0.702859, 0.111832, 0.375447, 0.435720, -0.033891, 0.000000, 0.000000, 0.000000, 0.000000], [0.170728, 0.047503, -0.410727, 0.711429, -0.450223, -0.301773, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519796, -0.571601, -0.450734, 0.166900, 0.414790, 0.004048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076054, -0.310583, 0.567865, 0.519399, -0.120490, 0.539434, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.476001, 96.005264, 108.745746, 121.711742, 726.404319], [71.188871, 76.316942, 85.927426, 96.817979, 579.593120], [63.175336, 67.631230, 75.370242, 86.223332, 438.933717], [26.740119, 28.681803, 32.277501, 36.471125, 191.052379], [81.123325, 87.134377, 99.718727, 109.907017, 720.650085], [11.729549, 12.632789, 14.874791, 15.914329, 101.134522]]
### 10
mean: [-5.852277]
std: [4.959675]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[76.634089, 82.039389, 89.985430, 105.149853, 526.704905]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.679256,
-0.323411,
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-0.750511,
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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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0.203965,
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1.064558
],
[
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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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"network.8.bias": [
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"network.10.weight": [
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],
"network.10.bias": [
0.822679
]
}
## Activation Signature
### 0
mean: [-4.254261, -0.168115, -2.461022, 0.527030, -2.808321, 0.246865]
std: [2.538058, 1.932629, 1.851664, 1.469046, 1.680672, 2.275872]
pca: [[0.601856, -0.385086, -0.132507, -0.510013, -0.384849, 0.252384, 0.000000, 0.000000, 0.000000, 0.000000], [0.295584, 0.413703, 0.801380, -0.243711, 0.167073, 0.109368, 0.000000, 0.000000, 0.000000, 0.000000], [0.410349, -0.182019, 0.275610, 0.688084, -0.388408, -0.313372, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328370, -0.247300, 0.265097, 0.277540, -0.198801, 0.802614, 0.000000, 0.000000, 0.000000, 0.000000], [0.301806, -0.491378, 0.017081, 0.176000, 0.791129, 0.101528, 0.000000, 0.000000, 0.000000, 0.000000], [0.427902, 0.587211, -0.440117, 0.314687, 0.087811, 0.414296, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.350826, 39.589062, 49.634381, 50.887977, 382.883505], [29.596779, 30.913713, 33.322906, 36.116564, 45.916890], [28.376017, 32.759174, 32.947293, 35.457555, 221.491943], [22.830859, 23.591000, 24.465571, 26.683084, 47.432679], [25.469154, 25.645647, 29.261634, 29.672196, 252.748850], [32.165478, 33.114220, 37.055903, 38.347924, 41.554277]]
### 2
mean: [-0.698463, 0.754428, 2.508913, -1.080607, 0.542065, 0.013232]
std: [0.542003, 1.270541, 1.893611, 0.666107, 0.831359, 0.724344]
pca: [[0.052441, -0.187472, 0.715031, 0.223013, -0.028244, 0.632694, 0.000000, 0.000000, 0.000000, 0.000000], [0.513479, -0.313886, 0.230819, -0.206851, 0.675040, -0.293379, 0.000000, 0.000000, 0.000000, 0.000000], [0.794216, -0.015406, -0.228533, -0.169363, -0.486897, 0.225842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.136465, -0.522961, 0.356667, -0.193839, -0.539099, -0.502470, 0.000000, 0.000000, 0.000000, 0.000000], [0.289927, 0.411453, 0.272546, 0.674271, -0.112596, -0.452823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011399, 0.650623, 0.426301, -0.621755, -0.056116, -0.071397, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.393998, 8.630344, 9.159264, 11.401359, 62.861695], [18.594340, 18.804003, 19.007696, 27.385410, 67.898556], [28.252227, 30.046918, 32.166471, 41.700899, 225.802128], [9.991851, 10.027474, 11.468455, 12.487745, 97.254585], [12.901002, 13.638785, 13.871300, 16.943178, 48.785811], [10.949855, 12.028786, 12.105438, 12.213319, 14.966478]]
### 4
mean: [-0.880734, 4.419999, 2.873972, -2.664508, 2.105278, -0.425635]
std: [0.560762, 3.244024, 2.043969, 2.611203, 1.346438, 0.198776]
pca: [[-0.091692, 0.747648, -0.422984, 0.434879, -0.164426, 0.193760, 0.000000, 0.000000, 0.000000, 0.000000], [0.668018, 0.495866, 0.145268, -0.416482, 0.010490, -0.336450, 0.000000, 0.000000, 0.000000, 0.000000], [0.421773, -0.006028, 0.492488, 0.264969, 0.012131, 0.713562, 0.000000, 0.000000, 0.000000, 0.000000], [-0.537512, 0.392637, 0.723812, 0.004069, 0.021248, -0.180404, 0.000000, 0.000000, 0.000000, 0.000000], [0.277473, -0.159319, 0.148953, 0.753047, 0.082177, -0.549187, 0.000000, 0.000000, 0.000000, 0.000000], [-0.039264, 0.124724, -0.106521, 0.010880, 0.982600, 0.077037, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.275639, 8.527068, 8.814206, 11.719506, 79.266097], [49.647801, 53.494447, 61.701448, 66.441025, 397.799899], [31.076710, 33.436450, 37.987762, 42.778873, 258.657516], [39.844174, 42.567423, 46.345370, 56.285126, 239.805716], [20.406363, 21.906085, 24.384891, 28.621105, 189.474970], [2.828078, 3.011155, 3.162341, 4.374757, 38.307125]]
### 6
mean: [6.767341, -3.966125, 4.512736, -5.206277, -1.356286, -1.499425]
std: [4.862239, 3.389650, 3.252614, 4.197826, 0.747194, 0.783149]
pca: [[0.605424, 0.600604, 0.148455, -0.212519, 0.113384, 0.438951, 0.000000, 0.000000, 0.000000, 0.000000], [-0.422106, 0.308967, 0.614576, 0.432819, -0.319339, 0.243624, 0.000000, 0.000000, 0.000000, 0.000000], [0.404929, -0.446082, 0.673871, 0.131190, 0.352536, -0.203591, 0.000000, 0.000000, 0.000000, 0.000000], [-0.522860, 0.181933, 0.251313, -0.575628, 0.545856, -0.032462, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092990, 0.109807, -0.287774, 0.626824, 0.679916, 0.203190, 0.000000, 0.000000, 0.000000, 0.000000], [-0.096389, -0.547419, -0.013578, -0.161357, -0.025315, 0.814973, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.347684, 79.824202, 90.643780, 101.576995, 609.060699], [52.226780, 55.853909, 63.894877, 70.202775, 356.951301], [49.986029, 53.672397, 61.786877, 66.767517, 406.146294], [64.566760, 69.153204, 78.977688, 87.065812, 468.564972], [11.436356, 12.322020, 14.269746, 15.247747, 122.065723], [11.691600, 12.583808, 13.965091, 16.711081, 134.948245]]
### 8
mean: [8.071158, 6.439924, -4.877041, 2.122804, -8.007223, -1.123717]
std: [5.831871, 4.628219, 4.098417, 1.740561, 5.299677, 0.776944]
pca: [[0.572065, 0.122210, -0.411848, 0.105344, 0.389808, 0.570210, 0.000000, 0.000000, 0.000000, 0.000000], [0.453982, -0.256138, 0.351491, 0.210192, 0.518583, -0.540036, 0.000000, 0.000000, 0.000000, 0.000000], [-0.401897, 0.702859, 0.111832, 0.375447, 0.435720, -0.033891, 0.000000, 0.000000, 0.000000, 0.000000], [0.170728, 0.047503, -0.410727, 0.711429, -0.450223, -0.301773, 0.000000, 0.000000, 0.000000, 0.000000], [-0.519796, -0.571601, -0.450734, 0.166900, 0.414790, 0.004048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076054, -0.310583, 0.567865, 0.519399, -0.120490, 0.539434, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[89.476001, 96.005264, 108.745746, 121.711742, 726.404319], [71.188871, 76.316942, 85.927426, 96.817979, 579.593120], [63.175336, 67.631230, 75.370242, 86.223332, 438.933717], [26.740119, 28.681803, 32.277501, 36.471125, 191.052379], [81.123325, 87.134377, 99.718727, 109.907017, 720.650085], [11.729549, 12.632789, 14.874791, 15.914329, 101.134522]]
### 10
mean: [-5.852277]
std: [4.959675]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[76.634089, 82.039389, 89.985430, 105.149853, 526.704905]]
## 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": [71.18887130368714, 76.31694186358934, 85.92742590790664, 96.81797912491412, 579.5931197702885]}, "2": {"mean": -4.877041339874268, "std": 4.098417282104492, "pca": [-0.40189701318740845, 0.7028594613075256, 0.11183218657970428, 0.37544652819633484, 0.435720294713974, -0.0338912270963192, 0.0, 0.0, 0.0, 0.0], "fourier": [63.175336421166776, 67.63123039859323, 75.37024236440386, 86.22333213473595, 438.9337171316147]}, "3": {"mean": 2.1228041648864746, "std": 1.7405610084533691, "pca": [0.17072759568691254, 0.047502923756837845, -0.41072729229927063, 0.7114286422729492, -0.45022305846214294, -0.301773339509964, 0.0, 0.0, 0.0, 0.0], "fourier": [26.740119435792792, 28.681803364566907, 32.27750093297709, 36.471124658929156, 191.05237883329391]}, "4": {"mean": -8.007223129272461, "std": 5.29967737197876, "pca": [-0.5197961330413818, -0.5716012120246887, -0.45073390007019043, 0.1668999195098877, 0.4147903323173523, 0.004048243630677462, 0.0, 0.0, 0.0, 0.0], "fourier": [81.12332466404806, 87.13437661106111, 99.71872676457028, 109.90701747930159, 720.6500850915909]}, "5": {"mean": -1.1237168312072754, "std": 0.7769443392753601, "pca": [-0.07605418562889099, -0.31058335304260254, 0.5678651928901672, 0.5193994641304016, -0.12048952281475067, 0.5394342541694641, 0.0, 0.0, 0.0, 0.0], "fourier": [11.729549151282283, 12.632788650922285, 14.87479147738013, 15.91432945782682, 101.13452231884003]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -5.8522772789001465, "std": 4.959674835205078, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [76.63408911145756, 82.03938876796282, 89.98543020503095, 105.14985318980314, 526.7049050033092]}}, "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": "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.679256, -0.323411, -0.224793, -0.750511, -0.030004], [-1.009628, 0.355228, 0.116487, 0.122673, 0.063965], [-0.502196, 0.079054, -0.64124, -0.343395, 0.485411], [0.511554, 0.47467, -0.238532, -0.023218, -0.075434], [-0.095821, -0.117787, -0.611349, -0.441494, -0.031361], [-0.667087, -0.727671, 0.233086, 0.318247, 0.522376]], "network.0.bias": [-0.703634, -0.144277, -0.502923, -0.333433, -0.211964, 0.589378], "network.2.weight": [[-0.604164, 0.039359, -0.361031, -0.490123, 0.164778, -0.210445], [0.005186, 0.437117, -0.02167, -0.406416, -0.186901, 0.703219], [-0.00028, 1.074117, 0.375351, -0.127576, -0.188266, 1.233922], [-0.155284, -0.707612, -0.447972, -0.342712, -0.565666, -0.211754], [-0.312624, 0.971787, 0.060429, -0.097331, 0.385957, 0.171972], [-0.199913, 0.766794, 0.846473, -0.047628, 0.101515, -0.451824]], "network.2.bias": [-0.096626, 0.085712, 0.647707, -0.114688, -0.179, -0.017608], "network.4.weight": [[-0.096434, -0.211893, -0.250293, -0.164763, 0.29728, 0.157532], [-0.123196, 0.410822, 1.196317, 0.203965, 0.706202, 1.064558], [0.292173, 0.564089, 0.682674, 0.076648, 0.200843, 0.749142], [0.202677, -0.287054, -1.00252, -0.09959, -0.771845, 0.031717], [-0.109331, 0.48867, 0.38513, 0.297358, 0.192472, 0.362418], [0.067597, -0.081569, -0.07356, 0.310833, 0.040322, -0.025297]], "network.4.bias": [-0.281242, 0.27299, 0.278325, 0.618253, 0.440684, -0.180796], "network.6.weight": [[-0.171216, 0.61997, 0.823611, -0.466595, 0.844835, -0.146296], [-0.362682, -0.794652, -0.417947, 1.049283, 0.092991, 0.012886], [0.047993, 1.045542, -0.100135, -0.479411, 0.020436, 0.254457], [0.281481, -0.985258, -0.240856, 0.975749, -0.323776, -0.375056], [-0.385979, -0.213439, -0.131017, 0.025502, 0.160418, -0.111426], [-0.465893, 0.180297, -0.326315, -0.149407, -0.525559, -0.209827]], "network.6.bias": [-0.088301, 0.483559, 0.167306, 0.45911, -0.375727, -0.242378], "network.8.weight": [[0.881689, -0.2328, 0.468662, -0.408263, 0.366536, 0.177669], [0.616998, -0.409208, 0.488924, -0.704618, 0.131473, -0.256625], [-0.586028, 0.898399, -0.362025, 0.75575, -0.087891, 0.218224], [0.293118, 0.121743, 0.096287, -0.52441, 0.274007, -0.225402], [-0.721342, -0.114631, -0.555003, -0.197772, -0.370817, -0.164201], [-0.17923, -0.041419, 0.025567, -0.515492, -0.384372, 0.404483]], "network.8.bias": [0.00733, 0.089205, 0.666222, -0.293484, -0.612355, -0.016307], "network.10.weight": [[-0.340413, -0.558479, 0.994657, -0.181435, 0.230671, -0.019833]], "network.10.bias": [0.822679]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7096523642539978, "train_acc": 0.42, "val_loss": 0.7722495794296265, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6569786071777344, "train_acc": 0.6, "val_loss": 0.734954297542572, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5687786638736725, "train_acc": 0.6, "val_loss": 0.6096208691596985, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4962492883205414, "train_acc": 0.66, "val_loss": 0.47942981123924255, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.395944207906723, "train_acc": 0.825, "val_loss": 0.2943873107433319, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2567590922117233, "train_acc": 0.91, "val_loss": 0.396048903465271, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.258999302983284, "train_acc": 0.935, "val_loss": 0.21113349497318268, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.14951971545815468, "train_acc": 0.955, "val_loss": 0.15693426132202148, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.18375589698553085, "train_acc": 0.95, "val_loss": 0.14893504977226257, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.14899445697665215, "train_acc": 0.955, "val_loss": 0.21800652146339417, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.1895361691713333, "train_acc": 0.945, "val_loss": 0.1530952900648117, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.17144082486629486, "train_acc": 0.955, "val_loss": 0.15821635723114014, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7722495794296265, "final_val_loss": 0.6096208691596985, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.47942981123924255, "final_val_loss": 0.15821635723114014, "initial_val_acc": 0.78, "final_val_acc": 0.96, "best_val_acc": 1.0, "best_epoch": 9}, "improvement": 0.6, "first_improvement_epoch": 2}}
|
9,924
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9037, "learning_rate": 0.03905689628942165, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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0.187429
],
[
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],
[
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0.150902
]
],
"network.0.bias": [
0.004048,
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"network.2.weight": [
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],
[
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0.078759,
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],
[
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],
[
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[
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],
[
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0.200883
]
],
"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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[
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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: [-0.404473, 0.216942, -0.795170, 0.814791, 2.922627, 0.403318]
std: [1.423601, 1.603450, 1.784999, 1.858519, 1.958343, 1.284295]
pca: [[0.476184, 0.136862, -0.160194, -0.386508, 0.755758, -0.091087, 0.000000, 0.000000, 0.000000, 0.000000], [0.560137, 0.192509, 0.142089, -0.126076, -0.336964, 0.706794, 0.000000, 0.000000, 0.000000, 0.000000], [0.632343, 0.041030, 0.086111, 0.546855, -0.169759, -0.513006, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123914, 0.746637, 0.385420, -0.353012, -0.196892, -0.339479, 0.000000, 0.000000, 0.000000, 0.000000], [0.074848, -0.515918, 0.816905, -0.212766, 0.101886, -0.072401, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196675, 0.344799, 0.361733, 0.604797, 0.487154, 0.329367, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.179827, 24.244019, 24.829715, 31.768620, 36.402577], [22.849282, 23.030718, 24.794386, 31.191551, 40.412350], [27.963579, 28.556271, 30.239898, 44.019755, 71.565275], [30.340931, 32.127620, 33.856871, 38.865352, 73.331185], [29.048555, 29.199614, 32.200543, 33.577257, 263.036476], [19.449546, 21.549128, 23.895550, 28.003845, 36.298623]]
### 2
mean: [1.157731, 0.174953, -1.401085, -0.871116, 1.270079, 1.305215]
std: [1.744804, 0.850719, 0.965962, 0.628497, 1.663373, 1.665996]
pca: [[0.580884, -0.079328, -0.321613, 0.171751, -0.093745, 0.717328, 0.000000, 0.000000, 0.000000, 0.000000], [0.183661, 0.528049, -0.322400, 0.608693, -0.214461, -0.408645, 0.000000, 0.000000, 0.000000, 0.000000], [0.202998, 0.627008, 0.291080, -0.531875, -0.432119, 0.106335, 0.000000, 0.000000, 0.000000, 0.000000], [-0.047800, 0.515035, -0.177262, -0.136385, 0.811444, 0.154889, 0.000000, 0.000000, 0.000000, 0.000000], [0.536797, -0.050178, 0.725661, 0.274578, 0.295257, -0.142049, 0.000000, 0.000000, 0.000000, 0.000000], [0.545159, -0.232279, -0.387158, -0.472344, 0.113465, -0.512810, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.743359, 30.278441, 30.674595, 33.760454, 104.195759], [13.760050, 13.816284, 15.745786, 18.095415, 18.233873], [16.972871, 17.343559, 18.958332, 20.189261, 126.097672], [9.664358, 11.044963, 13.342514, 13.455363, 78.400456], [26.723706, 28.044049, 31.571495, 31.783399, 114.307111], [27.593255, 27.630121, 29.997307, 33.359881, 117.469313]]
### 4
mean: [-0.801625, -1.520777, -1.440195, -0.856410, 3.704408, 3.623892]
std: [1.058910, 1.545883, 1.370986, 1.384213, 3.051530, 2.892809]
pca: [[-0.209680, 0.711902, 0.386201, -0.189872, -0.483230, -0.174687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308917, -0.356181, 0.579832, -0.512698, 0.128626, 0.402612, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274364, 0.167480, 0.361416, 0.288502, 0.700007, -0.439102, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276826, -0.283893, 0.310595, 0.745460, -0.403259, 0.167254, 0.000000, 0.000000, 0.000000, 0.000000], [0.610954, -0.343500, 0.444712, -0.080672, -0.197828, -0.515102, 0.000000, 0.000000, 0.000000, 0.000000], [0.579165, 0.373755, 0.299640, 0.235875, 0.241208, 0.566809, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.204230, 18.451482, 19.249629, 22.674659, 72.146229], [24.161632, 27.150159, 29.464878, 31.972125, 136.869974], [22.223315, 23.947253, 25.743452, 28.724246, 129.617558], [21.680740, 24.200600, 26.256275, 28.454657, 77.076912], [48.789576, 54.875272, 56.986668, 63.220692, 333.396706], [45.833917, 52.132934, 54.554591, 59.317991, 326.150296]]
### 6
mean: [4.873615, -1.513111, 4.058085, 5.605540, 4.581718, -3.146121]
std: [3.858843, 1.815486, 3.156986, 4.828165, 3.807881, 2.055236]
pca: [[0.461041, -0.010492, 0.312287, -0.382357, 0.234421, 0.699041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215236, -0.617731, 0.070826, 0.280117, 0.698714, 0.019949, 0.000000, 0.000000, 0.000000, 0.000000], [0.377162, 0.024033, 0.760404, 0.389469, -0.085902, -0.346254, 0.000000, 0.000000, 0.000000, 0.000000], [0.576844, 0.048956, -0.516107, 0.606279, 0.025264, 0.173997, 0.000000, 0.000000, 0.000000, 0.000000], [0.454947, 0.054666, -0.214071, -0.465430, 0.413810, -0.596946, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243183, 0.782519, 0.083987, 0.198624, 0.526867, 0.066571, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.616999, 69.305689, 72.321738, 80.393424, 438.625344], [31.276948, 31.911501, 33.221726, 38.676835, 136.179985], [50.517586, 56.742265, 59.172210, 65.696972, 365.227637], [77.216421, 86.574957, 89.840723, 101.117887, 504.498563], [61.050619, 68.275694, 71.145806, 79.623106, 412.354653], [34.833925, 37.036024, 38.779736, 41.184608, 283.150843]]
### 8
mean: [-2.550800, -3.460712, 12.064851, 2.005774, -3.144624, -2.470656]
std: [2.686753, 3.333534, 10.075700, 2.147902, 3.079799, 2.734222]
pca: [[-0.225496, 0.686875, -0.005457, -0.402912, -0.269747, -0.492160, 0.000000, 0.000000, 0.000000, 0.000000], [-0.280284, 0.334830, 0.303908, -0.096345, 0.809952, 0.227299, 0.000000, 0.000000, 0.000000, 0.000000], [0.847421, 0.314838, 0.425881, 0.031160, 0.001348, 0.020159, 0.000000, 0.000000, 0.000000, 0.000000], [0.180617, 0.160727, -0.467789, -0.553793, -0.074104, 0.640734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258973, -0.244734, 0.711428, -0.375708, -0.380087, 0.285107, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229738, 0.480874, 0.035777, 0.616088, -0.348217, 0.462473, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.420612, 48.168500, 49.808339, 56.264546, 229.572023], [54.807661, 59.813738, 61.897696, 70.033447, 311.464025], [161.901404, 180.934854, 187.809126, 211.120424, 1085.836495], [34.138004, 38.512194, 39.861277, 45.219155, 180.519694], [48.898171, 55.269131, 57.104374, 64.779904, 283.016136], [45.597831, 49.030233, 50.770325, 57.366424, 222.359043]]
### 10
mean: [-1.855009, 5.013943, -3.345884, 4.479514, 3.785533, 11.583993]
std: [2.499277, 4.821348, 3.715906, 4.386033, 3.786305, 10.068609]
pca: [[-0.186822, 0.288629, 0.086976, 0.915913, -0.001298, -0.187959, 0.000000, 0.000000, 0.000000, 0.000000], [0.361021, -0.393970, 0.653618, 0.027144, 0.077434, -0.529625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277831, 0.414575, 0.485064, -0.193813, 0.665334, 0.188195, 0.000000, 0.000000, 0.000000, 0.000000], [0.328666, -0.271781, -0.489042, 0.187800, 0.734882, -0.060259, 0.000000, 0.000000, 0.000000, 0.000000], [0.283516, -0.310264, 0.301013, 0.291775, -0.049931, 0.803194, 0.000000, 0.000000, 0.000000, 0.000000], [0.754433, 0.647673, -0.012679, -0.049018, -0.093742, 0.000615, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.582347, 45.035522, 46.161701, 50.697850, 166.950817], [84.905892, 87.065329, 89.265308, 98.222053, 451.254817], [66.233487, 66.990636, 68.662602, 75.294413, 301.129527], [76.425304, 79.139247, 81.322990, 89.840448, 403.156313], [66.682075, 68.363898, 70.106356, 77.128008, 340.697950], [164.085520, 181.423813, 187.120882, 210.239027, 1042.559275]]
### 12
mean: [-16.267931]
std: [14.491256]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[237.405122, 262.834750, 269.656133, 301.306164, 1464.113880]]
## 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: 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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0.150902
]
],
"network.0.bias": [
0.004048,
0.156462,
-0.201366,
0.032179,
0.580639,
0.249514
],
"network.2.weight": [
[
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],
[
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0.078759,
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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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],
"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": [
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}
## Activation Signature
### 0
mean: [-0.404473, 0.216942, -0.795170, 0.814791, 2.922627, 0.403318]
std: [1.423601, 1.603450, 1.784999, 1.858519, 1.958343, 1.284295]
pca: [[0.476184, 0.136862, -0.160194, -0.386508, 0.755758, -0.091087, 0.000000, 0.000000, 0.000000, 0.000000], [0.560137, 0.192509, 0.142089, -0.126076, -0.336964, 0.706794, 0.000000, 0.000000, 0.000000, 0.000000], [0.632343, 0.041030, 0.086111, 0.546855, -0.169759, -0.513006, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123914, 0.746637, 0.385420, -0.353012, -0.196892, -0.339479, 0.000000, 0.000000, 0.000000, 0.000000], [0.074848, -0.515918, 0.816905, -0.212766, 0.101886, -0.072401, 0.000000, 0.000000, 0.000000, 0.000000], [-0.196675, 0.344799, 0.361733, 0.604797, 0.487154, 0.329367, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.179827, 24.244019, 24.829715, 31.768620, 36.402577], [22.849282, 23.030718, 24.794386, 31.191551, 40.412350], [27.963579, 28.556271, 30.239898, 44.019755, 71.565275], [30.340931, 32.127620, 33.856871, 38.865352, 73.331185], [29.048555, 29.199614, 32.200543, 33.577257, 263.036476], [19.449546, 21.549128, 23.895550, 28.003845, 36.298623]]
### 2
mean: [1.157731, 0.174953, -1.401085, -0.871116, 1.270079, 1.305215]
std: [1.744804, 0.850719, 0.965962, 0.628497, 1.663373, 1.665996]
pca: [[0.580884, -0.079328, -0.321613, 0.171751, -0.093745, 0.717328, 0.000000, 0.000000, 0.000000, 0.000000], [0.183661, 0.528049, -0.322400, 0.608693, -0.214461, -0.408645, 0.000000, 0.000000, 0.000000, 0.000000], [0.202998, 0.627008, 0.291080, -0.531875, -0.432119, 0.106335, 0.000000, 0.000000, 0.000000, 0.000000], [-0.047800, 0.515035, -0.177262, -0.136385, 0.811444, 0.154889, 0.000000, 0.000000, 0.000000, 0.000000], [0.536797, -0.050178, 0.725661, 0.274578, 0.295257, -0.142049, 0.000000, 0.000000, 0.000000, 0.000000], [0.545159, -0.232279, -0.387158, -0.472344, 0.113465, -0.512810, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.743359, 30.278441, 30.674595, 33.760454, 104.195759], [13.760050, 13.816284, 15.745786, 18.095415, 18.233873], [16.972871, 17.343559, 18.958332, 20.189261, 126.097672], [9.664358, 11.044963, 13.342514, 13.455363, 78.400456], [26.723706, 28.044049, 31.571495, 31.783399, 114.307111], [27.593255, 27.630121, 29.997307, 33.359881, 117.469313]]
### 4
mean: [-0.801625, -1.520777, -1.440195, -0.856410, 3.704408, 3.623892]
std: [1.058910, 1.545883, 1.370986, 1.384213, 3.051530, 2.892809]
pca: [[-0.209680, 0.711902, 0.386201, -0.189872, -0.483230, -0.174687, 0.000000, 0.000000, 0.000000, 0.000000], [-0.308917, -0.356181, 0.579832, -0.512698, 0.128626, 0.402612, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274364, 0.167480, 0.361416, 0.288502, 0.700007, -0.439102, 0.000000, 0.000000, 0.000000, 0.000000], [-0.276826, -0.283893, 0.310595, 0.745460, -0.403259, 0.167254, 0.000000, 0.000000, 0.000000, 0.000000], [0.610954, -0.343500, 0.444712, -0.080672, -0.197828, -0.515102, 0.000000, 0.000000, 0.000000, 0.000000], [0.579165, 0.373755, 0.299640, 0.235875, 0.241208, 0.566809, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.204230, 18.451482, 19.249629, 22.674659, 72.146229], [24.161632, 27.150159, 29.464878, 31.972125, 136.869974], [22.223315, 23.947253, 25.743452, 28.724246, 129.617558], [21.680740, 24.200600, 26.256275, 28.454657, 77.076912], [48.789576, 54.875272, 56.986668, 63.220692, 333.396706], [45.833917, 52.132934, 54.554591, 59.317991, 326.150296]]
### 6
mean: [4.873615, -1.513111, 4.058085, 5.605540, 4.581718, -3.146121]
std: [3.858843, 1.815486, 3.156986, 4.828165, 3.807881, 2.055236]
pca: [[0.461041, -0.010492, 0.312287, -0.382357, 0.234421, 0.699041, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215236, -0.617731, 0.070826, 0.280117, 0.698714, 0.019949, 0.000000, 0.000000, 0.000000, 0.000000], [0.377162, 0.024033, 0.760404, 0.389469, -0.085902, -0.346254, 0.000000, 0.000000, 0.000000, 0.000000], [0.576844, 0.048956, -0.516107, 0.606279, 0.025264, 0.173997, 0.000000, 0.000000, 0.000000, 0.000000], [0.454947, 0.054666, -0.214071, -0.465430, 0.413810, -0.596946, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243183, 0.782519, 0.083987, 0.198624, 0.526867, 0.066571, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.616999, 69.305689, 72.321738, 80.393424, 438.625344], [31.276948, 31.911501, 33.221726, 38.676835, 136.179985], [50.517586, 56.742265, 59.172210, 65.696972, 365.227637], [77.216421, 86.574957, 89.840723, 101.117887, 504.498563], [61.050619, 68.275694, 71.145806, 79.623106, 412.354653], [34.833925, 37.036024, 38.779736, 41.184608, 283.150843]]
### 8
mean: [-2.550800, -3.460712, 12.064851, 2.005774, -3.144624, -2.470656]
std: [2.686753, 3.333534, 10.075700, 2.147902, 3.079799, 2.734222]
pca: [[-0.225496, 0.686875, -0.005457, -0.402912, -0.269747, -0.492160, 0.000000, 0.000000, 0.000000, 0.000000], [-0.280284, 0.334830, 0.303908, -0.096345, 0.809952, 0.227299, 0.000000, 0.000000, 0.000000, 0.000000], [0.847421, 0.314838, 0.425881, 0.031160, 0.001348, 0.020159, 0.000000, 0.000000, 0.000000, 0.000000], [0.180617, 0.160727, -0.467789, -0.553793, -0.074104, 0.640734, 0.000000, 0.000000, 0.000000, 0.000000], [-0.258973, -0.244734, 0.711428, -0.375708, -0.380087, 0.285107, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229738, 0.480874, 0.035777, 0.616088, -0.348217, 0.462473, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.420612, 48.168500, 49.808339, 56.264546, 229.572023], [54.807661, 59.813738, 61.897696, 70.033447, 311.464025], [161.901404, 180.934854, 187.809126, 211.120424, 1085.836495], [34.138004, 38.512194, 39.861277, 45.219155, 180.519694], [48.898171, 55.269131, 57.104374, 64.779904, 283.016136], [45.597831, 49.030233, 50.770325, 57.366424, 222.359043]]
### 10
mean: [-1.855009, 5.013943, -3.345884, 4.479514, 3.785533, 11.583993]
std: [2.499277, 4.821348, 3.715906, 4.386033, 3.786305, 10.068609]
pca: [[-0.186822, 0.288629, 0.086976, 0.915913, -0.001298, -0.187959, 0.000000, 0.000000, 0.000000, 0.000000], [0.361021, -0.393970, 0.653618, 0.027144, 0.077434, -0.529625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277831, 0.414575, 0.485064, -0.193813, 0.665334, 0.188195, 0.000000, 0.000000, 0.000000, 0.000000], [0.328666, -0.271781, -0.489042, 0.187800, 0.734882, -0.060259, 0.000000, 0.000000, 0.000000, 0.000000], [0.283516, -0.310264, 0.301013, 0.291775, -0.049931, 0.803194, 0.000000, 0.000000, 0.000000, 0.000000], [0.754433, 0.647673, -0.012679, -0.049018, -0.093742, 0.000615, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.582347, 45.035522, 46.161701, 50.697850, 166.950817], [84.905892, 87.065329, 89.265308, 98.222053, 451.254817], [66.233487, 66.990636, 68.662602, 75.294413, 301.129527], [76.425304, 79.139247, 81.322990, 89.840448, 403.156313], [66.682075, 68.363898, 70.106356, 77.128008, 340.697950], [164.085520, 181.423813, 187.120882, 210.239027, 1042.559275]]
### 12
mean: [-16.267931]
std: [14.491256]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[237.405122, 262.834750, 269.656133, 301.306164, 1464.113880]]
## 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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"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"}}
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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": [[-0.273358, -0.378885, 0.552217, -0.265391, 0.030541], [-0.22823, -0.3759, 0.501534, -0.268145, 0.451497], [-0.330404, -0.588972, 0.299142, -0.183223, 0.534032], [0.740175, 0.099066, 0.086815, -0.341125, 0.187429], [-0.042039, -0.193443, 0.246482, 0.814834, 0.392887], [0.653203, -0.155901, -0.313944, 0.044159, 0.150902]], "network.0.bias": [0.004048, 0.156462, -0.201366, 0.032179, 0.580639, 0.249514], "network.2.weight": [[0.463272, 0.303089, 0.427979, -0.591908, 0.452396, -0.161047], [-0.43249, -0.117052, 0.427749, -0.142057, 0.078759, -0.575067], [-0.188935, 0.013529, 0.314498, -0.411944, -0.10466, -0.320049], [-0.542562, 0.075407, -0.307991, -0.049799, -0.084948, -0.232885], [0.672865, 0.492182, 0.210446, -0.403856, 0.201141, -0.491812], [0.713774, 0.259275, 0.28816, -0.684082, 0.472639, 0.200883]], "network.2.bias": [0.107684, 0.503467, -0.543698, -0.248246, 0.841359, 0.070757], "network.4.weight": [[0.255625, -0.681654, -0.43042, -0.345875, -0.636232, -0.347628], [-0.143009, -0.688774, -0.232273, -0.327621, -0.374123, -0.555163], [-0.257977, -0.520218, -0.028067, -0.562509, -0.460938, -0.252498], [-0.561492, -0.353037, 0.096796, -0.126531, -0.279065, -0.153484], [0.722289, 0.5059, -0.718956, 0.346885, 0.914914, 0.606531], [0.802702, 0.438652, -0.681946, 0.037026, 0.62594, 0.688404]], "network.4.bias": [0.381411, 0.160704, 0.024112, 0.636254, 0.33408, 0.42357], "network.6.weight": [[-0.064821, -0.706604, -0.449492, -0.097262, 0.488549, 0.789689], [0.816754, 0.354404, 0.248816, 0.470032, -0.332046, -0.210357], [0.259577, -0.764886, -0.383167, -0.313349, 0.269244, 0.779388], [-0.082295, -0.480514, -0.17918, -0.607986, 0.772286, 0.79705], [-0.367979, -0.743682, -0.004317, -0.105422, 0.611849, 0.632651], [-0.676836, -0.428245, 0.644779, -0.488134, -0.16152, -0.576128]], "network.6.bias": [0.226302, 0.445383, 0.272112, -0.05386, 0.061952, -0.438276], "network.8.weight": [[-0.109372, 0.831509, 0.133369, -0.610534, 0.112589, -0.665559], [0.066031, 0.574553, -0.129148, -0.406534, -0.286728, -0.713026], [0.605191, -0.648852, 0.644665, 0.557054, 0.760386, 0.123255], [-0.339193, -0.102095, 0.315578, 0.268503, 0.302178, 0.120356], [-0.100667, 0.081845, -0.225045, -0.440746, 0.049164, -0.722617], [-0.010675, 0.654221, 0.109819, -0.35137, -0.318271, -0.535176]], "network.8.bias": [0.23567, 0.239041, -0.011659, -0.497757, 0.461935, 0.471941], "network.10.weight": [[-0.025592, 0.312433, -0.20182, -0.117355, 0.232742, 0.793589], [-0.707892, -0.63435, 0.493257, -0.209895, -0.723317, -0.121649], [0.451039, 0.421764, -0.245913, -0.434892, 0.705952, 0.638577], [-0.456901, -0.62846, 0.362824, 0.219508, -0.270135, -0.47636], [-0.62384, -0.499055, 0.364837, -0.060252, -0.589125, -0.066432], [-0.402142, -0.177419, 0.898721, 0.435267, -0.262902, -0.42605]], "network.10.bias": [0.683949, -0.341313, 0.305803, -0.174794, -0.354829, -0.079222], "network.12.weight": [[0.483356, -0.710593, 0.575669, -0.546319, -0.429876, -0.741953]], "network.12.bias": [0.27446]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876733303070068, "train_acc": 0.555, "val_loss": 0.7040532827377319, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6812453269958496, "train_acc": 0.555, "val_loss": 0.6832229495048523, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6313100755214691, "train_acc": 0.555, "val_loss": 0.6215143799781799, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5601719915866852, "train_acc": 0.5, "val_loss": 0.4627535343170166, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.41519197821617126, "train_acc": 0.89, "val_loss": 0.3857971429824829, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.33251482248306274, "train_acc": 0.9, "val_loss": 0.2807731628417969, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.25668758153915405, "train_acc": 0.915, "val_loss": 0.23678289353847504, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2186596840620041, "train_acc": 0.935, "val_loss": 0.19607558846473694, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.20214004814624786, "train_acc": 0.93, "val_loss": 0.2145019918680191, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.18341254442930222, "train_acc": 0.935, "val_loss": 0.21673250198364258, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.18075746297836304, "train_acc": 0.94, "val_loss": 0.16874952614307404, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.17065057158470154, "train_acc": 0.935, "val_loss": 0.15927904844284058, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.16701606661081314, "train_acc": 0.94, "val_loss": 0.15141627192497253, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7040532827377319, "final_val_loss": 0.6215143799781799, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4627535343170166, "final_val_loss": 0.15141627192497253, "initial_val_acc": 0.86, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
9,925
|
{"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": "gelu", "dropout_rate": 0.0, "random_seed": 3241, "learning_rate": 0.028576863864530268, "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: 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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"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: [-0.431186, 1.526958, 2.278563, 2.702321, 2.176211, -1.111470, -1.425701, -2.039465]
std: [1.446983, 2.413726, 1.686072, 2.863823, 2.121202, 1.223033, 1.980836, 2.134833]
pca: [[0.158956, -0.513368, 0.134628, 0.601655, 0.441411, -0.237927, -0.101510, 0.263279, 0.000000, 0.000000], [0.448057, -0.279306, 0.360749, -0.036333, -0.044356, 0.701456, 0.294610, -0.094708, 0.000000, 0.000000], [0.197319, 0.664704, -0.207682, 0.322019, 0.252956, 0.353438, -0.042305, 0.426274, 0.000000, 0.000000], [0.547210, 0.095399, 0.346080, -0.217138, -0.362247, -0.296630, -0.428422, 0.348974, 0.000000, 0.000000], [0.403364, 0.038733, -0.206017, -0.352337, 0.309899, -0.387363, 0.639425, 0.119417, 0.000000, 0.000000], [-0.148189, -0.329733, -0.254450, -0.562332, 0.348264, 0.287859, -0.348180, 0.403699, 0.000000, 0.000000], [-0.286430, 0.293789, 0.741259, -0.205100, 0.483072, -0.072964, 0.016720, -0.033952, 0.000000, 0.000000], [-0.410975, -0.104749, 0.179385, 0.058485, -0.396604, 0.014326, 0.432657, 0.663201, 0.000000, 0.000000]]
fourier: [[20.927785, 23.310556, 23.623021, 33.791403, 38.806711], [39.273068, 39.475922, 43.854626, 50.351264, 137.426209], [26.664346, 26.885906, 33.204688, 34.478498, 205.070666], [46.521059, 48.857691, 49.330459, 55.356909, 243.208865], [37.171143, 38.167894, 38.986075, 39.978313, 195.858945], [17.926669, 20.043443, 21.876618, 23.549702, 100.032327], [34.023341, 34.031426, 40.970938, 43.097970, 128.313074], [35.560137, 37.383802, 40.485341, 41.362494, 183.551867]]
### 2
mean: [2.550550, 2.489932, 1.610575, -0.149949, 3.076456, -2.309814, 2.295275, -2.373874]
std: [3.264413, 2.614222, 1.219757, 0.951648, 3.047357, 2.110334, 2.280727, 1.907207]
pca: [[0.504981, -0.337638, 0.581270, 0.313425, 0.042303, -0.206514, -0.338215, 0.189886, 0.000000, 0.000000], [0.402487, 0.362727, -0.421981, -0.105374, 0.360126, -0.034711, -0.602848, -0.151465, 0.000000, 0.000000], [0.122652, 0.812009, 0.265484, 0.132882, -0.178680, 0.040607, 0.144879, 0.427660, 0.000000, 0.000000], [-0.137439, 0.202707, 0.377241, 0.266850, 0.657989, 0.128332, 0.224768, -0.475985, 0.000000, 0.000000], [0.475655, -0.121108, -0.396832, 0.179520, 0.282692, -0.242708, 0.619855, 0.215268, 0.000000, 0.000000], [-0.329556, -0.040757, 0.149776, -0.475701, 0.504551, -0.368953, -0.068121, 0.495650, 0.000000, 0.000000], [0.355859, -0.129069, 0.165327, -0.493636, 0.128553, 0.730765, 0.131669, 0.133474, 0.000000, 0.000000], [-0.295930, -0.144891, -0.253027, 0.547357, 0.229417, 0.457141, -0.210896, 0.470874, 0.000000, 0.000000]]
fourier: [[53.786468, 56.263874, 59.740137, 62.719257, 229.549486], [42.971176, 44.754042, 47.513614, 48.844908, 224.093878], [19.148048, 20.049853, 20.268478, 24.768174, 144.951734], [14.017907, 15.059800, 15.342814, 17.649224, 19.111845], [51.790458, 53.541136, 56.727287, 56.940276, 276.880993], [36.805884, 38.153227, 38.749125, 39.090542, 207.883249], [38.681397, 39.423151, 40.146314, 43.588159, 206.574739], [31.151322, 31.675802, 33.558055, 34.676464, 213.648687]]
### 4
mean: [1.842577, -0.579094, -0.413790, -0.547058, -0.725855, -0.081321, 5.702643, 0.314815]
std: [3.138879, 1.407774, 0.778306, 1.385526, 1.212972, 0.995793, 6.304042, 0.843701]
pca: [[0.405999, 0.752093, 0.223070, 0.106251, 0.231022, 0.362771, -0.105477, 0.111235, 0.000000, 0.000000], [-0.185971, -0.094647, 0.440457, 0.666612, 0.126928, 0.016852, -0.030105, -0.548436, 0.000000, 0.000000], [-0.079831, 0.475997, 0.120528, -0.104670, -0.378944, -0.464281, 0.578240, -0.219212, 0.000000, 0.000000], [-0.184022, -0.070001, 0.282079, -0.359774, -0.487750, 0.677508, 0.045136, -0.230817, 0.000000, 0.000000], [-0.159137, 0.058585, 0.536265, -0.521789, 0.230695, -0.372369, -0.459303, -0.092526, 0.000000, 0.000000], [-0.130128, -0.075535, 0.472017, 0.307422, -0.353257, -0.081802, -0.020198, 0.726748, 0.000000, 0.000000], [0.840485, -0.380635, 0.273219, -0.066976, -0.161838, -0.127467, 0.103237, -0.128335, 0.000000, 0.000000], [-0.108022, -0.199763, 0.277692, -0.180801, 0.587211, 0.178723, 0.655396, 0.179780, 0.000000, 0.000000]]
fourier: [[53.741471, 55.406527, 57.759288, 67.033725, 165.831916], [22.392207, 25.034849, 26.839851, 27.918212, 52.118499], [12.054814, 12.068862, 13.175504, 16.102085, 37.241107], [23.052249, 24.311821, 25.402410, 28.338578, 49.235193], [20.005690, 20.846620, 22.019738, 22.903571, 65.326975], [14.794230, 15.241032, 17.823672, 18.682928, 20.056961], [108.714655, 110.891611, 114.197734, 116.063658, 513.237887], [14.391648, 14.848358, 16.135715, 18.068336, 28.333359]]
### 6
mean: [-0.677394, -1.064542, 3.829376, 4.049093, -0.742777, 3.611204, 0.852097, 3.555002]
std: [2.578760, 1.302314, 5.489807, 5.594341, 2.229537, 5.022441, 2.060407, 5.123481]
pca: [[-0.224545, -0.544988, 0.251962, -0.167623, 0.036024, -0.327118, 0.591707, 0.320257, 0.000000, 0.000000], [-0.113954, -0.052764, -0.209632, -0.186709, 0.577001, 0.532768, 0.398796, -0.360021, 0.000000, 0.000000], [0.481353, -0.137185, -0.086183, 0.275382, 0.656095, -0.469143, -0.124993, -0.006072, 0.000000, 0.000000], [0.489910, -0.173477, 0.760540, -0.017367, -0.031974, 0.370130, -0.037392, -0.108417, 0.000000, 0.000000], [-0.194040, -0.476835, -0.102768, 0.789715, -0.154542, 0.215064, -0.023148, -0.173476, 0.000000, 0.000000], [0.440011, -0.265807, -0.455581, -0.109041, -0.113406, 0.386798, -0.015825, 0.594617, 0.000000, 0.000000], [0.178554, 0.580829, 0.068413, 0.453698, -0.043183, 0.044210, 0.598183, 0.242056, 0.000000, 0.000000], [0.449153, -0.126107, -0.289699, -0.139723, -0.442357, -0.232898, 0.339432, -0.560157, 0.000000, 0.000000]]
fourier: [[39.774039, 47.459831, 49.521489, 51.141675, 60.965424], [21.606410, 23.082239, 24.267056, 24.466661, 95.808762], [91.057168, 98.125597, 103.172261, 104.117285, 344.643817], [94.302683, 98.448387, 103.772567, 105.416545, 364.418391], [34.707802, 39.532354, 41.630129, 45.461786, 66.849915], [83.363803, 89.764618, 94.737402, 95.445535, 325.008403], [30.666516, 37.940041, 39.356441, 40.479163, 76.688694], [84.376821, 91.526771, 96.526480, 97.840655, 319.950235]]
### 8
mean: [-8.479616]
std: [12.018898]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[201.002306, 205.542696, 216.770614, 238.626869, 763.165415]]
## 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: 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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0.064278,
0.168777,
0.067558,
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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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0.11476,
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
0.586602,
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0.390893,
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0.790097,
0.524736,
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[
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0.132279,
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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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[
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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: [-0.431186, 1.526958, 2.278563, 2.702321, 2.176211, -1.111470, -1.425701, -2.039465]
std: [1.446983, 2.413726, 1.686072, 2.863823, 2.121202, 1.223033, 1.980836, 2.134833]
pca: [[0.158956, -0.513368, 0.134628, 0.601655, 0.441411, -0.237927, -0.101510, 0.263279, 0.000000, 0.000000], [0.448057, -0.279306, 0.360749, -0.036333, -0.044356, 0.701456, 0.294610, -0.094708, 0.000000, 0.000000], [0.197319, 0.664704, -0.207682, 0.322019, 0.252956, 0.353438, -0.042305, 0.426274, 0.000000, 0.000000], [0.547210, 0.095399, 0.346080, -0.217138, -0.362247, -0.296630, -0.428422, 0.348974, 0.000000, 0.000000], [0.403364, 0.038733, -0.206017, -0.352337, 0.309899, -0.387363, 0.639425, 0.119417, 0.000000, 0.000000], [-0.148189, -0.329733, -0.254450, -0.562332, 0.348264, 0.287859, -0.348180, 0.403699, 0.000000, 0.000000], [-0.286430, 0.293789, 0.741259, -0.205100, 0.483072, -0.072964, 0.016720, -0.033952, 0.000000, 0.000000], [-0.410975, -0.104749, 0.179385, 0.058485, -0.396604, 0.014326, 0.432657, 0.663201, 0.000000, 0.000000]]
fourier: [[20.927785, 23.310556, 23.623021, 33.791403, 38.806711], [39.273068, 39.475922, 43.854626, 50.351264, 137.426209], [26.664346, 26.885906, 33.204688, 34.478498, 205.070666], [46.521059, 48.857691, 49.330459, 55.356909, 243.208865], [37.171143, 38.167894, 38.986075, 39.978313, 195.858945], [17.926669, 20.043443, 21.876618, 23.549702, 100.032327], [34.023341, 34.031426, 40.970938, 43.097970, 128.313074], [35.560137, 37.383802, 40.485341, 41.362494, 183.551867]]
### 2
mean: [2.550550, 2.489932, 1.610575, -0.149949, 3.076456, -2.309814, 2.295275, -2.373874]
std: [3.264413, 2.614222, 1.219757, 0.951648, 3.047357, 2.110334, 2.280727, 1.907207]
pca: [[0.504981, -0.337638, 0.581270, 0.313425, 0.042303, -0.206514, -0.338215, 0.189886, 0.000000, 0.000000], [0.402487, 0.362727, -0.421981, -0.105374, 0.360126, -0.034711, -0.602848, -0.151465, 0.000000, 0.000000], [0.122652, 0.812009, 0.265484, 0.132882, -0.178680, 0.040607, 0.144879, 0.427660, 0.000000, 0.000000], [-0.137439, 0.202707, 0.377241, 0.266850, 0.657989, 0.128332, 0.224768, -0.475985, 0.000000, 0.000000], [0.475655, -0.121108, -0.396832, 0.179520, 0.282692, -0.242708, 0.619855, 0.215268, 0.000000, 0.000000], [-0.329556, -0.040757, 0.149776, -0.475701, 0.504551, -0.368953, -0.068121, 0.495650, 0.000000, 0.000000], [0.355859, -0.129069, 0.165327, -0.493636, 0.128553, 0.730765, 0.131669, 0.133474, 0.000000, 0.000000], [-0.295930, -0.144891, -0.253027, 0.547357, 0.229417, 0.457141, -0.210896, 0.470874, 0.000000, 0.000000]]
fourier: [[53.786468, 56.263874, 59.740137, 62.719257, 229.549486], [42.971176, 44.754042, 47.513614, 48.844908, 224.093878], [19.148048, 20.049853, 20.268478, 24.768174, 144.951734], [14.017907, 15.059800, 15.342814, 17.649224, 19.111845], [51.790458, 53.541136, 56.727287, 56.940276, 276.880993], [36.805884, 38.153227, 38.749125, 39.090542, 207.883249], [38.681397, 39.423151, 40.146314, 43.588159, 206.574739], [31.151322, 31.675802, 33.558055, 34.676464, 213.648687]]
### 4
mean: [1.842577, -0.579094, -0.413790, -0.547058, -0.725855, -0.081321, 5.702643, 0.314815]
std: [3.138879, 1.407774, 0.778306, 1.385526, 1.212972, 0.995793, 6.304042, 0.843701]
pca: [[0.405999, 0.752093, 0.223070, 0.106251, 0.231022, 0.362771, -0.105477, 0.111235, 0.000000, 0.000000], [-0.185971, -0.094647, 0.440457, 0.666612, 0.126928, 0.016852, -0.030105, -0.548436, 0.000000, 0.000000], [-0.079831, 0.475997, 0.120528, -0.104670, -0.378944, -0.464281, 0.578240, -0.219212, 0.000000, 0.000000], [-0.184022, -0.070001, 0.282079, -0.359774, -0.487750, 0.677508, 0.045136, -0.230817, 0.000000, 0.000000], [-0.159137, 0.058585, 0.536265, -0.521789, 0.230695, -0.372369, -0.459303, -0.092526, 0.000000, 0.000000], [-0.130128, -0.075535, 0.472017, 0.307422, -0.353257, -0.081802, -0.020198, 0.726748, 0.000000, 0.000000], [0.840485, -0.380635, 0.273219, -0.066976, -0.161838, -0.127467, 0.103237, -0.128335, 0.000000, 0.000000], [-0.108022, -0.199763, 0.277692, -0.180801, 0.587211, 0.178723, 0.655396, 0.179780, 0.000000, 0.000000]]
fourier: [[53.741471, 55.406527, 57.759288, 67.033725, 165.831916], [22.392207, 25.034849, 26.839851, 27.918212, 52.118499], [12.054814, 12.068862, 13.175504, 16.102085, 37.241107], [23.052249, 24.311821, 25.402410, 28.338578, 49.235193], [20.005690, 20.846620, 22.019738, 22.903571, 65.326975], [14.794230, 15.241032, 17.823672, 18.682928, 20.056961], [108.714655, 110.891611, 114.197734, 116.063658, 513.237887], [14.391648, 14.848358, 16.135715, 18.068336, 28.333359]]
### 6
mean: [-0.677394, -1.064542, 3.829376, 4.049093, -0.742777, 3.611204, 0.852097, 3.555002]
std: [2.578760, 1.302314, 5.489807, 5.594341, 2.229537, 5.022441, 2.060407, 5.123481]
pca: [[-0.224545, -0.544988, 0.251962, -0.167623, 0.036024, -0.327118, 0.591707, 0.320257, 0.000000, 0.000000], [-0.113954, -0.052764, -0.209632, -0.186709, 0.577001, 0.532768, 0.398796, -0.360021, 0.000000, 0.000000], [0.481353, -0.137185, -0.086183, 0.275382, 0.656095, -0.469143, -0.124993, -0.006072, 0.000000, 0.000000], [0.489910, -0.173477, 0.760540, -0.017367, -0.031974, 0.370130, -0.037392, -0.108417, 0.000000, 0.000000], [-0.194040, -0.476835, -0.102768, 0.789715, -0.154542, 0.215064, -0.023148, -0.173476, 0.000000, 0.000000], [0.440011, -0.265807, -0.455581, -0.109041, -0.113406, 0.386798, -0.015825, 0.594617, 0.000000, 0.000000], [0.178554, 0.580829, 0.068413, 0.453698, -0.043183, 0.044210, 0.598183, 0.242056, 0.000000, 0.000000], [0.449153, -0.126107, -0.289699, -0.139723, -0.442357, -0.232898, 0.339432, -0.560157, 0.000000, 0.000000]]
fourier: [[39.774039, 47.459831, 49.521489, 51.141675, 60.965424], [21.606410, 23.082239, 24.267056, 24.466661, 95.808762], [91.057168, 98.125597, 103.172261, 104.117285, 344.643817], [94.302683, 98.448387, 103.772567, 105.416545, 364.418391], [34.707802, 39.532354, 41.630129, 45.461786, 66.849915], [83.363803, 89.764618, 94.737402, 95.445535, 325.008403], [30.666516, 37.940041, 39.356441, 40.479163, 76.688694], [84.376821, 91.526771, 96.526480, 97.840655, 319.950235]]
### 8
mean: [-8.479616]
std: [12.018898]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[201.002306, 205.542696, 216.770614, 238.626869, 763.165415]]
## 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": 0.6865116655826569, "train_acc": 0.555, "val_loss": 0.6885896325111389, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6874342858791351, "train_acc": 0.555, "val_loss": 0.6751496195793152, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6622631847858429, "train_acc": 0.555, "val_loss": 0.6321443319320679, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6344688236713409, "train_acc": 0.49, "val_loss": 0.5381054878234863, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.565802276134491, "train_acc": 0.63, "val_loss": 0.45140916109085083, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4716864824295044, "train_acc": 0.75, "val_loss": 0.378356397151947, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.36474037170410156, "train_acc": 0.845, "val_loss": 0.33050277829170227, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.31351087987422943, "train_acc": 0.9, "val_loss": 0.32039713859558105, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.28176529705524445, "train_acc": 0.885, "val_loss": 0.3144426941871643, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.26339326798915863, "train_acc": 0.9, "val_loss": 0.3286454677581787, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2475653439760208, "train_acc": 0.91, "val_loss": 0.2825322151184082, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.24078550934791565, "train_acc": 0.9, "val_loss": 0.2690441608428955, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.20026303827762604, "train_acc": 0.92, "val_loss": 0.24603283405303955, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6885896325111389, "final_val_loss": 0.6321443319320679, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5381054878234863, "final_val_loss": 0.24603283405303955, "initial_val_acc": 0.68, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
9,926
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1595, "learning_rate": 0.061123423896225305, "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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"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: [0.220229, 0.228661, 0.079812, -3.018287, -0.486304, 0.522831, 1.544844, 0.680000]
std: [0.436145, 1.760591, 1.590407, 2.063225, 1.862381, 1.593411, 1.788923, 1.801811]
pca: [[0.010446, 0.033548, 0.021503, 0.354797, -0.106270, -0.139470, 0.823340, -0.404708, 0.000000, 0.000000], [0.573432, -0.012071, 0.074928, 0.051622, -0.433777, -0.079408, -0.380126, -0.569023, 0.000000, 0.000000], [0.076212, 0.520383, 0.318823, 0.262758, 0.047009, 0.741857, -0.011906, 0.000174, 0.000000, 0.000000], [-0.168200, -0.494026, 0.652441, 0.448666, 0.220631, -0.092690, -0.201439, -0.053096, 0.000000, 0.000000], [0.151263, 0.508613, 0.546549, -0.174269, -0.092424, -0.538430, 0.078171, 0.291180, 0.000000, 0.000000], [0.441665, -0.205419, -0.166190, 0.459015, -0.315231, 0.028841, 0.090549, 0.644996, 0.000000, 0.000000], [-0.303741, 0.425198, -0.351556, 0.598117, 0.065247, -0.337527, -0.348592, -0.076911, 0.000000, 0.000000], [0.571629, 0.046811, -0.129110, 0.047993, 0.798427, -0.103128, 0.032718, -0.053703, 0.000000, 0.000000]]
fourier: [[6.281092, 6.344735, 6.532293, 9.099143, 19.820642], [27.359584, 28.126806, 28.867870, 33.359802, 39.046889], [21.055075, 21.132213, 25.585725, 27.078344, 38.036897], [33.618687, 35.346402, 36.925046, 38.642202, 271.645835], [28.074906, 32.165419, 32.588011, 43.767318, 45.470767], [24.334594, 25.328312, 25.649196, 32.133721, 47.054823], [27.085182, 28.619097, 32.042847, 36.503514, 139.035928], [28.456013, 28.567182, 33.100131, 38.388217, 61.199996]]
### 2
mean: [-1.139203, -1.501606, -0.015483, 0.888823, 0.249649, 0.910290, -0.997612, 1.452642]
std: [0.848579, 0.736763, 1.340149, 1.583194, 0.488817, 1.444359, 0.913197, 1.621493]
pca: [[-0.067123, 0.488795, 0.337510, 0.050809, 0.570028, 0.353645, -0.401079, 0.170937, 0.000000, 0.000000], [0.024225, 0.387290, 0.523076, 0.456781, -0.568068, 0.035318, 0.116329, -0.172282, 0.000000, 0.000000], [-0.445975, -0.229678, -0.167461, 0.642403, 0.130847, 0.204595, 0.277984, 0.413973, 0.000000, 0.000000], [0.533790, 0.107249, -0.514642, 0.381026, 0.045493, 0.412845, -0.060741, -0.342532, 0.000000, 0.000000], [-0.062352, -0.271702, 0.120867, -0.361554, -0.367666, 0.787993, -0.032568, 0.140670, 0.000000, 0.000000], [0.503692, 0.008317, -0.044570, 0.081918, -0.245011, -0.173382, -0.281053, 0.753953, 0.000000, 0.000000], [0.119905, 0.520488, -0.153808, -0.290580, 0.063738, 0.094328, 0.728589, 0.250636, 0.000000, 0.000000], [0.488990, -0.449481, 0.528514, 0.095073, 0.365930, 0.038666, 0.365711, -0.036672, 0.000000, 0.000000]]
fourier: [[14.200039, 14.282753, 15.888072, 16.592004, 102.528284], [11.694996, 12.395330, 12.868479, 13.921279, 135.144550], [20.783074, 23.002422, 24.416480, 26.637343, 26.869693], [24.644343, 29.327907, 32.910694, 33.854432, 79.994110], [8.174458, 8.570171, 8.592684, 9.648870, 22.468432], [22.518806, 26.595730, 28.039553, 29.554746, 81.926072], [16.402331, 16.610878, 16.835622, 19.178792, 89.785122], [24.650284, 26.579669, 26.970774, 26.994770, 130.737775]]
### 4
mean: [2.123604, 1.781553, 1.347118, -0.727188, -0.932399, -0.521174, -0.187428, -0.553227]
std: [2.175357, 1.639949, 1.136914, 0.977320, 0.601156, 0.604521, 0.278518, 0.344693]
pca: [[0.685599, -0.018371, -0.341336, 0.364344, 0.057498, 0.348299, 0.264548, -0.292843, 0.000000, 0.000000], [0.515927, 0.135441, -0.290342, -0.213553, -0.049526, -0.258367, -0.387048, 0.605441, 0.000000, 0.000000], [0.353405, -0.110903, 0.737133, 0.008918, 0.539827, 0.029613, 0.036509, 0.160432, 0.000000, 0.000000], [-0.305754, 0.082265, -0.445200, -0.100742, 0.715726, 0.243865, 0.199002, 0.282947, 0.000000, 0.000000], [0.019617, 0.863231, 0.070788, 0.166987, 0.121020, -0.387143, 0.179417, -0.157592, 0.000000, 0.000000], [-0.187868, 0.130907, 0.143360, 0.678019, -0.241914, 0.305600, 0.018703, 0.561288, 0.000000, 0.000000], [0.085953, -0.075979, 0.051965, -0.306432, -0.282393, -0.119727, 0.833271, 0.319089, 0.000000, 0.000000], [0.048234, 0.440651, 0.171345, -0.479505, -0.194039, 0.702839, -0.111324, -0.013752, 0.000000, 0.000000]]
fourier: [[35.446910, 37.982262, 39.000840, 43.299669, 191.124323], [26.786950, 28.990523, 29.867672, 33.737928, 160.339801], [18.724381, 18.790050, 20.561163, 23.127383, 121.240587], [16.015996, 16.122379, 18.020968, 20.026550, 65.446928], [10.847282, 11.106018, 11.473166, 12.771409, 83.915928], [10.053868, 10.281282, 10.356655, 11.390549, 46.905705], [4.654284, 4.804555, 4.904251, 5.387589, 16.868505], [5.612636, 5.660486, 6.775696, 7.332279, 49.790435]]
### 6
mean: [-0.497809, -2.327471, -0.009763, -0.668373, 2.640872, -1.129666, 3.084007, 2.080749]
std: [0.524493, 1.901870, 0.680678, 0.352846, 2.314516, 0.775774, 2.575763, 1.761774]
pca: [[-0.116385, 0.335884, -0.400734, -0.082338, 0.046980, -0.259458, 0.787179, -0.130739, 0.000000, 0.000000], [-0.423425, 0.462834, -0.153357, 0.485201, 0.070787, 0.269832, -0.118723, 0.505610, 0.000000, 0.000000], [-0.151163, -0.366094, -0.481681, 0.262978, -0.001130, 0.556112, 0.019469, -0.481986, 0.000000, 0.000000], [-0.077938, -0.086822, 0.598070, 0.288723, 0.613772, 0.148686, 0.345039, -0.165721, 0.000000, 0.000000], [0.515432, 0.014712, -0.371081, -0.252268, 0.607728, 0.233400, -0.050527, 0.326208, 0.000000, 0.000000], [-0.172209, 0.599989, 0.133005, -0.485168, 0.097375, 0.327683, -0.233891, -0.430948, 0.000000, 0.000000], [0.573573, 0.402295, -0.046063, 0.552513, -0.039944, -0.191072, -0.173783, -0.365344, 0.000000, 0.000000], [0.392337, 0.096743, 0.262063, -0.031379, -0.485442, 0.574582, 0.399205, 0.204666, 0.000000, 0.000000]]
fourier: [[8.653050, 8.850228, 8.953262, 11.009594, 44.802768], [31.568339, 31.918233, 33.228897, 38.815985, 209.472343], [11.297427, 11.383539, 11.622963, 11.882448, 13.905192], [5.866475, 6.287735, 6.524024, 6.565772, 60.153583], [38.562419, 38.664149, 41.010266, 46.802035, 237.678528], [12.779942, 13.086944, 13.658001, 15.878163, 101.669919], [43.062644, 43.594434, 45.418084, 52.129315, 277.560662], [29.577389, 29.580593, 30.730326, 35.829709, 187.267356]]
### 8
mean: [-4.800816]
std: [4.443392]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.966480, 74.609023, 78.986668, 90.033389, 432.073479]]
## 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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[
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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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[
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[
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"network.4.bias": [
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"network.6.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.220229, 0.228661, 0.079812, -3.018287, -0.486304, 0.522831, 1.544844, 0.680000]
std: [0.436145, 1.760591, 1.590407, 2.063225, 1.862381, 1.593411, 1.788923, 1.801811]
pca: [[0.010446, 0.033548, 0.021503, 0.354797, -0.106270, -0.139470, 0.823340, -0.404708, 0.000000, 0.000000], [0.573432, -0.012071, 0.074928, 0.051622, -0.433777, -0.079408, -0.380126, -0.569023, 0.000000, 0.000000], [0.076212, 0.520383, 0.318823, 0.262758, 0.047009, 0.741857, -0.011906, 0.000174, 0.000000, 0.000000], [-0.168200, -0.494026, 0.652441, 0.448666, 0.220631, -0.092690, -0.201439, -0.053096, 0.000000, 0.000000], [0.151263, 0.508613, 0.546549, -0.174269, -0.092424, -0.538430, 0.078171, 0.291180, 0.000000, 0.000000], [0.441665, -0.205419, -0.166190, 0.459015, -0.315231, 0.028841, 0.090549, 0.644996, 0.000000, 0.000000], [-0.303741, 0.425198, -0.351556, 0.598117, 0.065247, -0.337527, -0.348592, -0.076911, 0.000000, 0.000000], [0.571629, 0.046811, -0.129110, 0.047993, 0.798427, -0.103128, 0.032718, -0.053703, 0.000000, 0.000000]]
fourier: [[6.281092, 6.344735, 6.532293, 9.099143, 19.820642], [27.359584, 28.126806, 28.867870, 33.359802, 39.046889], [21.055075, 21.132213, 25.585725, 27.078344, 38.036897], [33.618687, 35.346402, 36.925046, 38.642202, 271.645835], [28.074906, 32.165419, 32.588011, 43.767318, 45.470767], [24.334594, 25.328312, 25.649196, 32.133721, 47.054823], [27.085182, 28.619097, 32.042847, 36.503514, 139.035928], [28.456013, 28.567182, 33.100131, 38.388217, 61.199996]]
### 2
mean: [-1.139203, -1.501606, -0.015483, 0.888823, 0.249649, 0.910290, -0.997612, 1.452642]
std: [0.848579, 0.736763, 1.340149, 1.583194, 0.488817, 1.444359, 0.913197, 1.621493]
pca: [[-0.067123, 0.488795, 0.337510, 0.050809, 0.570028, 0.353645, -0.401079, 0.170937, 0.000000, 0.000000], [0.024225, 0.387290, 0.523076, 0.456781, -0.568068, 0.035318, 0.116329, -0.172282, 0.000000, 0.000000], [-0.445975, -0.229678, -0.167461, 0.642403, 0.130847, 0.204595, 0.277984, 0.413973, 0.000000, 0.000000], [0.533790, 0.107249, -0.514642, 0.381026, 0.045493, 0.412845, -0.060741, -0.342532, 0.000000, 0.000000], [-0.062352, -0.271702, 0.120867, -0.361554, -0.367666, 0.787993, -0.032568, 0.140670, 0.000000, 0.000000], [0.503692, 0.008317, -0.044570, 0.081918, -0.245011, -0.173382, -0.281053, 0.753953, 0.000000, 0.000000], [0.119905, 0.520488, -0.153808, -0.290580, 0.063738, 0.094328, 0.728589, 0.250636, 0.000000, 0.000000], [0.488990, -0.449481, 0.528514, 0.095073, 0.365930, 0.038666, 0.365711, -0.036672, 0.000000, 0.000000]]
fourier: [[14.200039, 14.282753, 15.888072, 16.592004, 102.528284], [11.694996, 12.395330, 12.868479, 13.921279, 135.144550], [20.783074, 23.002422, 24.416480, 26.637343, 26.869693], [24.644343, 29.327907, 32.910694, 33.854432, 79.994110], [8.174458, 8.570171, 8.592684, 9.648870, 22.468432], [22.518806, 26.595730, 28.039553, 29.554746, 81.926072], [16.402331, 16.610878, 16.835622, 19.178792, 89.785122], [24.650284, 26.579669, 26.970774, 26.994770, 130.737775]]
### 4
mean: [2.123604, 1.781553, 1.347118, -0.727188, -0.932399, -0.521174, -0.187428, -0.553227]
std: [2.175357, 1.639949, 1.136914, 0.977320, 0.601156, 0.604521, 0.278518, 0.344693]
pca: [[0.685599, -0.018371, -0.341336, 0.364344, 0.057498, 0.348299, 0.264548, -0.292843, 0.000000, 0.000000], [0.515927, 0.135441, -0.290342, -0.213553, -0.049526, -0.258367, -0.387048, 0.605441, 0.000000, 0.000000], [0.353405, -0.110903, 0.737133, 0.008918, 0.539827, 0.029613, 0.036509, 0.160432, 0.000000, 0.000000], [-0.305754, 0.082265, -0.445200, -0.100742, 0.715726, 0.243865, 0.199002, 0.282947, 0.000000, 0.000000], [0.019617, 0.863231, 0.070788, 0.166987, 0.121020, -0.387143, 0.179417, -0.157592, 0.000000, 0.000000], [-0.187868, 0.130907, 0.143360, 0.678019, -0.241914, 0.305600, 0.018703, 0.561288, 0.000000, 0.000000], [0.085953, -0.075979, 0.051965, -0.306432, -0.282393, -0.119727, 0.833271, 0.319089, 0.000000, 0.000000], [0.048234, 0.440651, 0.171345, -0.479505, -0.194039, 0.702839, -0.111324, -0.013752, 0.000000, 0.000000]]
fourier: [[35.446910, 37.982262, 39.000840, 43.299669, 191.124323], [26.786950, 28.990523, 29.867672, 33.737928, 160.339801], [18.724381, 18.790050, 20.561163, 23.127383, 121.240587], [16.015996, 16.122379, 18.020968, 20.026550, 65.446928], [10.847282, 11.106018, 11.473166, 12.771409, 83.915928], [10.053868, 10.281282, 10.356655, 11.390549, 46.905705], [4.654284, 4.804555, 4.904251, 5.387589, 16.868505], [5.612636, 5.660486, 6.775696, 7.332279, 49.790435]]
### 6
mean: [-0.497809, -2.327471, -0.009763, -0.668373, 2.640872, -1.129666, 3.084007, 2.080749]
std: [0.524493, 1.901870, 0.680678, 0.352846, 2.314516, 0.775774, 2.575763, 1.761774]
pca: [[-0.116385, 0.335884, -0.400734, -0.082338, 0.046980, -0.259458, 0.787179, -0.130739, 0.000000, 0.000000], [-0.423425, 0.462834, -0.153357, 0.485201, 0.070787, 0.269832, -0.118723, 0.505610, 0.000000, 0.000000], [-0.151163, -0.366094, -0.481681, 0.262978, -0.001130, 0.556112, 0.019469, -0.481986, 0.000000, 0.000000], [-0.077938, -0.086822, 0.598070, 0.288723, 0.613772, 0.148686, 0.345039, -0.165721, 0.000000, 0.000000], [0.515432, 0.014712, -0.371081, -0.252268, 0.607728, 0.233400, -0.050527, 0.326208, 0.000000, 0.000000], [-0.172209, 0.599989, 0.133005, -0.485168, 0.097375, 0.327683, -0.233891, -0.430948, 0.000000, 0.000000], [0.573573, 0.402295, -0.046063, 0.552513, -0.039944, -0.191072, -0.173783, -0.365344, 0.000000, 0.000000], [0.392337, 0.096743, 0.262063, -0.031379, -0.485442, 0.574582, 0.399205, 0.204666, 0.000000, 0.000000]]
fourier: [[8.653050, 8.850228, 8.953262, 11.009594, 44.802768], [31.568339, 31.918233, 33.228897, 38.815985, 209.472343], [11.297427, 11.383539, 11.622963, 11.882448, 13.905192], [5.866475, 6.287735, 6.524024, 6.565772, 60.153583], [38.562419, 38.664149, 41.010266, 46.802035, 237.678528], [12.779942, 13.086944, 13.658001, 15.878163, 101.669919], [43.062644, 43.594434, 45.418084, 52.129315, 277.560662], [29.577389, 29.580593, 30.730326, 35.829709, 187.267356]]
### 8
mean: [-4.800816]
std: [4.443392]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[73.966480, 74.609023, 78.986668, 90.033389, 432.073479]]
## 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": 0.6715633571147919, "train_acc": 0.58, "val_loss": 0.6694654822349548, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5656220316886902, "train_acc": 0.58, "val_loss": 0.5251415371894836, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5132448077201843, "train_acc": 0.62, "val_loss": 0.4540644884109497, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.37592917680740356, "train_acc": 0.93, "val_loss": 0.3250909149646759, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3613109141588211, "train_acc": 0.905, "val_loss": 0.24262483417987823, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.24987084418535233, "train_acc": 0.935, "val_loss": 0.2906354069709778, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.23259718716144562, "train_acc": 0.925, "val_loss": 0.37556061148643494, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2783571779727936, "train_acc": 0.915, "val_loss": 0.3918919265270233, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6694654822349548, "final_val_loss": 0.5251415371894836, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4540644884109497, "final_val_loss": 0.3918919265270233, "initial_val_acc": 0.9, "final_val_acc": 0.86, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,927
|
{"target_pattern": "sorted_descending", "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": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8860, "learning_rate": 0.07076697270169914, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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: [-0.029646, -1.511837, -1.730907, 1.962332, -2.598558, 1.645823, 1.652750]
std: [0.974701, 1.381562, 1.077980, 1.982380, 1.591279, 1.947992, 1.629980]
pca: [[0.037683, 0.210157, 0.381308, -0.017434, 0.870923, 0.061077, 0.215584, 0.000000, 0.000000, 0.000000], [0.241131, -0.073861, 0.732558, 0.204811, -0.173475, -0.357371, -0.447218, 0.000000, 0.000000, 0.000000], [0.286909, 0.305924, 0.088413, -0.145028, -0.080451, 0.785697, -0.414066, 0.000000, 0.000000, 0.000000], [-0.545003, -0.454188, 0.475670, -0.110730, -0.166667, 0.413381, 0.243927, 0.000000, 0.000000, 0.000000], [0.546457, 0.147790, 0.230086, -0.082020, -0.340026, 0.040679, 0.708946, 0.000000, 0.000000, 0.000000], [-0.404344, 0.632169, 0.170123, -0.552773, -0.198102, -0.250455, -0.019923, 0.000000, 0.000000, 0.000000], [-0.314614, 0.478563, 0.044754, 0.782413, -0.149287, 0.126368, 0.139884, 0.000000, 0.000000, 0.000000]]
fourier: [[13.541623, 14.985619, 16.811300, 18.417414, 22.472672], [21.699095, 23.133497, 23.547795, 24.177503, 136.065299], [17.271144, 18.810129, 20.623874, 21.075711, 155.781601], [33.000435, 33.901729, 35.425593, 38.114531, 176.609848], [23.629335, 26.609578, 29.756252, 33.454291, 233.870249], [31.004073, 31.580516, 34.499405, 35.324094, 148.124060], [23.208883, 24.994440, 32.156221, 34.762618, 148.747485]]
### 2
mean: [1.590687, -1.444731, -0.391239, -1.521053, -1.101161, 0.447752, 0.763656]
std: [1.414661, 0.897201, 0.784434, 0.962062, 0.659765, 0.826829, 1.501507]
pca: [[0.585413, 0.344091, 0.357785, 0.034897, 0.101735, 0.630725, 0.038745, 0.000000, 0.000000, 0.000000], [-0.376981, -0.148150, 0.472112, 0.422801, -0.248210, 0.143097, 0.593466, 0.000000, 0.000000, 0.000000], [0.125087, -0.426029, -0.447870, 0.643107, -0.056181, 0.358521, -0.238716, 0.000000, 0.000000, 0.000000], [-0.279758, -0.443301, 0.375092, -0.389754, -0.220982, 0.376172, -0.492218, 0.000000, 0.000000, 0.000000], [-0.212625, -0.282989, -0.141158, -0.223037, 0.782986, 0.298130, 0.321073, 0.000000, 0.000000, 0.000000], [-0.298807, 0.282892, 0.367591, 0.447566, 0.476845, -0.156891, -0.493206, 0.000000, 0.000000, 0.000000], [-0.535510, 0.567032, -0.390857, -0.066833, -0.188690, 0.445163, -0.026324, 0.000000, 0.000000, 0.000000]]
fourier: [[21.175476, 23.991471, 25.421060, 27.737828, 143.161862], [13.537689, 14.225831, 15.415658, 17.252206, 130.025735], [12.491972, 12.991708, 13.401247, 14.235569, 35.211534], [13.925817, 17.118867, 17.435430, 18.679491, 136.894750], [10.643095, 11.179387, 11.960368, 13.175933, 99.104486], [14.428823, 15.066405, 15.071483, 17.020120, 40.297646], [24.767304, 25.522648, 27.901463, 29.417766, 68.728998]]
### 4
mean: [0.529845, -0.801523, 0.573821, 0.311333, -0.649807, -1.107183, 0.175689]
std: [0.996369, 0.628282, 0.928633, 1.247882, 0.315643, 0.582983, 1.272916]
pca: [[0.435290, 0.024487, 0.525524, -0.179320, 0.165693, -0.519853, -0.451541, 0.000000, 0.000000, 0.000000], [-0.162426, 0.634015, 0.227396, -0.385370, -0.580498, -0.075587, 0.169507, 0.000000, 0.000000, 0.000000], [0.405397, -0.027538, 0.546780, -0.022594, 0.093570, 0.652366, 0.317929, 0.000000, 0.000000, 0.000000], [0.541039, -0.216067, -0.367585, -0.367307, -0.090588, -0.300379, 0.540486, 0.000000, 0.000000, 0.000000], [0.084926, 0.308137, 0.156591, 0.729441, 0.068267, -0.372357, 0.444886, 0.000000, 0.000000, 0.000000], [0.121180, 0.640704, -0.307191, -0.197988, 0.651916, 0.123762, -0.030598, 0.000000, 0.000000, 0.000000], [0.552425, 0.211027, -0.345168, 0.335598, -0.434685, 0.232944, -0.418704, 0.000000, 0.000000, 0.000000]]
fourier: [[15.779057, 15.997356, 16.800113, 18.781452, 47.686060], [9.897334, 10.232513, 11.724223, 12.182885, 72.137062], [14.474145, 15.372802, 15.517742, 17.488205, 51.643928], [19.543682, 21.027650, 21.952800, 24.537279, 28.020009], [5.320844, 5.813269, 5.871410, 6.000164, 58.482593], [9.978099, 10.241931, 10.713430, 10.809986, 99.646512], [20.033329, 21.729594, 22.201709, 22.253130, 25.259171]]
### 6
mean: [-0.410825, -0.731778, -0.407223, 1.314588, 0.696990, -0.144069, -0.743439]
std: [0.497929, 0.441847, 0.071477, 1.190145, 0.730835, 0.404428, 0.439849]
pca: [[-0.299352, 0.302008, 0.743817, 0.288948, 0.372313, 0.037669, -0.205888, 0.000000, 0.000000, 0.000000], [-0.264708, 0.569698, 0.041630, -0.213559, -0.472953, -0.567242, 0.112186, 0.000000, 0.000000, 0.000000], [-0.041869, 0.110958, -0.276650, 0.864416, -0.351892, 0.040745, -0.191565, 0.000000, 0.000000, 0.000000], [0.718242, 0.133959, 0.377931, 0.192320, -0.149619, -0.019011, 0.513437, 0.000000, 0.000000, 0.000000], [0.439519, 0.642797, -0.308129, -0.131410, 0.308853, 0.128386, -0.411764, 0.000000, 0.000000, 0.000000], [-0.243510, 0.298995, 0.037746, -0.165096, -0.341906, 0.808821, 0.227006, 0.000000, 0.000000, 0.000000], [-0.264988, 0.226699, -0.359539, 0.205364, 0.528390, -0.064198, 0.650868, 0.000000, 0.000000, 0.000000]]
fourier: [[7.958580, 8.463816, 9.025654, 9.783374, 36.974267], [7.321547, 7.545042, 8.105952, 8.457338, 65.860002], [1.225720, 1.231336, 1.294102, 1.399811, 36.650102], [19.367523, 21.207240, 21.712713, 23.226396, 118.312910], [11.578426, 13.039566, 13.132686, 14.448446, 62.729107], [6.651123, 7.023411, 7.405364, 7.829334, 12.966189], [7.303603, 7.767772, 8.121892, 8.470519, 66.909541]]
### 8
mean: [-0.653205, 0.338351, 0.211079, 1.012152, 1.150679, 0.947512, 0.261480]
std: [0.464421, 0.508683, 0.430076, 0.846183, 1.089128, 0.897097, 0.299027]
pca: [[-0.249607, 0.308346, 0.562174, -0.046387, 0.470559, 0.480998, -0.267662, 0.000000, 0.000000, 0.000000], [0.273521, -0.308427, 0.057227, 0.032011, -0.136642, 0.713392, 0.546041, 0.000000, 0.000000, 0.000000], [0.231699, -0.007555, 0.681169, -0.217657, 0.038290, -0.476977, 0.453785, 0.000000, 0.000000, 0.000000], [0.455164, -0.463679, -0.168739, -0.153533, 0.694646, -0.072237, -0.195015, 0.000000, 0.000000, 0.000000], [0.586520, 0.326208, 0.112107, 0.718733, -0.021975, -0.022563, -0.139446, 0.000000, 0.000000, 0.000000], [0.483262, 0.157885, 0.086984, -0.573869, -0.425163, 0.160889, -0.444960, 0.000000, 0.000000, 0.000000], [0.156448, 0.680736, -0.409985, -0.282796, 0.307665, 0.024350, 0.410866, 0.000000, 0.000000, 0.000000]]
fourier: [[7.339927, 8.291607, 8.470946, 9.314575, 58.788488], [8.106925, 9.082291, 9.298235, 10.172218, 30.451551], [6.999061, 7.658123, 7.850668, 8.371186, 18.997072], [13.485369, 15.106976, 15.447330, 16.876174, 91.093698], [17.694673, 19.330894, 19.821084, 20.958753, 103.561078], [14.545274, 15.947152, 16.298720, 17.313679, 85.276059], [4.925662, 5.050184, 5.073129, 5.231738, 23.533175]]
### 10
mean: [0.824138, 0.225333, 0.412065, 0.539564, 1.881261, 0.524868, 1.035437]
std: [0.706126, 0.209130, 0.494889, 0.529054, 1.585535, 0.603010, 0.724674]
pca: [[0.334160, 0.061208, 0.389233, 0.617657, 0.188219, 0.549799, 0.117828, 0.000000, 0.000000, 0.000000], [-0.098799, -0.173680, -0.486906, 0.685914, -0.468097, -0.174778, -0.053444, 0.000000, 0.000000, 0.000000], [0.232721, 0.810357, -0.199630, 0.173285, 0.258463, -0.328115, -0.211706, 0.000000, 0.000000, 0.000000], [0.250351, -0.084685, 0.617403, 0.042843, -0.401016, -0.386323, -0.486900, 0.000000, 0.000000, 0.000000], [0.750338, -0.063478, -0.145257, -0.181596, -0.246609, -0.172766, 0.536863, 0.000000, 0.000000, 0.000000], [0.285352, 0.094147, -0.335593, -0.278259, -0.312513, 0.586306, -0.527485, 0.000000, 0.000000, 0.000000], [0.342501, -0.537908, -0.238034, 0.075850, 0.599468, -0.191485, -0.367295, 0.000000, 0.000000, 0.000000]]
fourier: [[11.291033, 12.619968, 12.931488, 14.069407, 74.172398], [3.345129, 3.740868, 3.847336, 4.252654, 20.279933], [8.244639, 8.818135, 8.991647, 10.111550, 37.085826], [8.492028, 9.447671, 9.704225, 10.501224, 48.560783], [25.408466, 28.293822, 28.997674, 31.492413, 169.313471], [9.643433, 10.758687, 11.014550, 12.020320, 47.238137], [11.679888, 12.898897, 13.241854, 14.136254, 93.189357]]
### 12
mean: [-1.243307]
std: [1.322095]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.108962, 23.542709, 24.178832, 26.324906, 111.897588]]
## 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: 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.2.weight": [
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[
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],
"network.2.bias": [
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[
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"network.8.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.029646, -1.511837, -1.730907, 1.962332, -2.598558, 1.645823, 1.652750]
std: [0.974701, 1.381562, 1.077980, 1.982380, 1.591279, 1.947992, 1.629980]
pca: [[0.037683, 0.210157, 0.381308, -0.017434, 0.870923, 0.061077, 0.215584, 0.000000, 0.000000, 0.000000], [0.241131, -0.073861, 0.732558, 0.204811, -0.173475, -0.357371, -0.447218, 0.000000, 0.000000, 0.000000], [0.286909, 0.305924, 0.088413, -0.145028, -0.080451, 0.785697, -0.414066, 0.000000, 0.000000, 0.000000], [-0.545003, -0.454188, 0.475670, -0.110730, -0.166667, 0.413381, 0.243927, 0.000000, 0.000000, 0.000000], [0.546457, 0.147790, 0.230086, -0.082020, -0.340026, 0.040679, 0.708946, 0.000000, 0.000000, 0.000000], [-0.404344, 0.632169, 0.170123, -0.552773, -0.198102, -0.250455, -0.019923, 0.000000, 0.000000, 0.000000], [-0.314614, 0.478563, 0.044754, 0.782413, -0.149287, 0.126368, 0.139884, 0.000000, 0.000000, 0.000000]]
fourier: [[13.541623, 14.985619, 16.811300, 18.417414, 22.472672], [21.699095, 23.133497, 23.547795, 24.177503, 136.065299], [17.271144, 18.810129, 20.623874, 21.075711, 155.781601], [33.000435, 33.901729, 35.425593, 38.114531, 176.609848], [23.629335, 26.609578, 29.756252, 33.454291, 233.870249], [31.004073, 31.580516, 34.499405, 35.324094, 148.124060], [23.208883, 24.994440, 32.156221, 34.762618, 148.747485]]
### 2
mean: [1.590687, -1.444731, -0.391239, -1.521053, -1.101161, 0.447752, 0.763656]
std: [1.414661, 0.897201, 0.784434, 0.962062, 0.659765, 0.826829, 1.501507]
pca: [[0.585413, 0.344091, 0.357785, 0.034897, 0.101735, 0.630725, 0.038745, 0.000000, 0.000000, 0.000000], [-0.376981, -0.148150, 0.472112, 0.422801, -0.248210, 0.143097, 0.593466, 0.000000, 0.000000, 0.000000], [0.125087, -0.426029, -0.447870, 0.643107, -0.056181, 0.358521, -0.238716, 0.000000, 0.000000, 0.000000], [-0.279758, -0.443301, 0.375092, -0.389754, -0.220982, 0.376172, -0.492218, 0.000000, 0.000000, 0.000000], [-0.212625, -0.282989, -0.141158, -0.223037, 0.782986, 0.298130, 0.321073, 0.000000, 0.000000, 0.000000], [-0.298807, 0.282892, 0.367591, 0.447566, 0.476845, -0.156891, -0.493206, 0.000000, 0.000000, 0.000000], [-0.535510, 0.567032, -0.390857, -0.066833, -0.188690, 0.445163, -0.026324, 0.000000, 0.000000, 0.000000]]
fourier: [[21.175476, 23.991471, 25.421060, 27.737828, 143.161862], [13.537689, 14.225831, 15.415658, 17.252206, 130.025735], [12.491972, 12.991708, 13.401247, 14.235569, 35.211534], [13.925817, 17.118867, 17.435430, 18.679491, 136.894750], [10.643095, 11.179387, 11.960368, 13.175933, 99.104486], [14.428823, 15.066405, 15.071483, 17.020120, 40.297646], [24.767304, 25.522648, 27.901463, 29.417766, 68.728998]]
### 4
mean: [0.529845, -0.801523, 0.573821, 0.311333, -0.649807, -1.107183, 0.175689]
std: [0.996369, 0.628282, 0.928633, 1.247882, 0.315643, 0.582983, 1.272916]
pca: [[0.435290, 0.024487, 0.525524, -0.179320, 0.165693, -0.519853, -0.451541, 0.000000, 0.000000, 0.000000], [-0.162426, 0.634015, 0.227396, -0.385370, -0.580498, -0.075587, 0.169507, 0.000000, 0.000000, 0.000000], [0.405397, -0.027538, 0.546780, -0.022594, 0.093570, 0.652366, 0.317929, 0.000000, 0.000000, 0.000000], [0.541039, -0.216067, -0.367585, -0.367307, -0.090588, -0.300379, 0.540486, 0.000000, 0.000000, 0.000000], [0.084926, 0.308137, 0.156591, 0.729441, 0.068267, -0.372357, 0.444886, 0.000000, 0.000000, 0.000000], [0.121180, 0.640704, -0.307191, -0.197988, 0.651916, 0.123762, -0.030598, 0.000000, 0.000000, 0.000000], [0.552425, 0.211027, -0.345168, 0.335598, -0.434685, 0.232944, -0.418704, 0.000000, 0.000000, 0.000000]]
fourier: [[15.779057, 15.997356, 16.800113, 18.781452, 47.686060], [9.897334, 10.232513, 11.724223, 12.182885, 72.137062], [14.474145, 15.372802, 15.517742, 17.488205, 51.643928], [19.543682, 21.027650, 21.952800, 24.537279, 28.020009], [5.320844, 5.813269, 5.871410, 6.000164, 58.482593], [9.978099, 10.241931, 10.713430, 10.809986, 99.646512], [20.033329, 21.729594, 22.201709, 22.253130, 25.259171]]
### 6
mean: [-0.410825, -0.731778, -0.407223, 1.314588, 0.696990, -0.144069, -0.743439]
std: [0.497929, 0.441847, 0.071477, 1.190145, 0.730835, 0.404428, 0.439849]
pca: [[-0.299352, 0.302008, 0.743817, 0.288948, 0.372313, 0.037669, -0.205888, 0.000000, 0.000000, 0.000000], [-0.264708, 0.569698, 0.041630, -0.213559, -0.472953, -0.567242, 0.112186, 0.000000, 0.000000, 0.000000], [-0.041869, 0.110958, -0.276650, 0.864416, -0.351892, 0.040745, -0.191565, 0.000000, 0.000000, 0.000000], [0.718242, 0.133959, 0.377931, 0.192320, -0.149619, -0.019011, 0.513437, 0.000000, 0.000000, 0.000000], [0.439519, 0.642797, -0.308129, -0.131410, 0.308853, 0.128386, -0.411764, 0.000000, 0.000000, 0.000000], [-0.243510, 0.298995, 0.037746, -0.165096, -0.341906, 0.808821, 0.227006, 0.000000, 0.000000, 0.000000], [-0.264988, 0.226699, -0.359539, 0.205364, 0.528390, -0.064198, 0.650868, 0.000000, 0.000000, 0.000000]]
fourier: [[7.958580, 8.463816, 9.025654, 9.783374, 36.974267], [7.321547, 7.545042, 8.105952, 8.457338, 65.860002], [1.225720, 1.231336, 1.294102, 1.399811, 36.650102], [19.367523, 21.207240, 21.712713, 23.226396, 118.312910], [11.578426, 13.039566, 13.132686, 14.448446, 62.729107], [6.651123, 7.023411, 7.405364, 7.829334, 12.966189], [7.303603, 7.767772, 8.121892, 8.470519, 66.909541]]
### 8
mean: [-0.653205, 0.338351, 0.211079, 1.012152, 1.150679, 0.947512, 0.261480]
std: [0.464421, 0.508683, 0.430076, 0.846183, 1.089128, 0.897097, 0.299027]
pca: [[-0.249607, 0.308346, 0.562174, -0.046387, 0.470559, 0.480998, -0.267662, 0.000000, 0.000000, 0.000000], [0.273521, -0.308427, 0.057227, 0.032011, -0.136642, 0.713392, 0.546041, 0.000000, 0.000000, 0.000000], [0.231699, -0.007555, 0.681169, -0.217657, 0.038290, -0.476977, 0.453785, 0.000000, 0.000000, 0.000000], [0.455164, -0.463679, -0.168739, -0.153533, 0.694646, -0.072237, -0.195015, 0.000000, 0.000000, 0.000000], [0.586520, 0.326208, 0.112107, 0.718733, -0.021975, -0.022563, -0.139446, 0.000000, 0.000000, 0.000000], [0.483262, 0.157885, 0.086984, -0.573869, -0.425163, 0.160889, -0.444960, 0.000000, 0.000000, 0.000000], [0.156448, 0.680736, -0.409985, -0.282796, 0.307665, 0.024350, 0.410866, 0.000000, 0.000000, 0.000000]]
fourier: [[7.339927, 8.291607, 8.470946, 9.314575, 58.788488], [8.106925, 9.082291, 9.298235, 10.172218, 30.451551], [6.999061, 7.658123, 7.850668, 8.371186, 18.997072], [13.485369, 15.106976, 15.447330, 16.876174, 91.093698], [17.694673, 19.330894, 19.821084, 20.958753, 103.561078], [14.545274, 15.947152, 16.298720, 17.313679, 85.276059], [4.925662, 5.050184, 5.073129, 5.231738, 23.533175]]
### 10
mean: [0.824138, 0.225333, 0.412065, 0.539564, 1.881261, 0.524868, 1.035437]
std: [0.706126, 0.209130, 0.494889, 0.529054, 1.585535, 0.603010, 0.724674]
pca: [[0.334160, 0.061208, 0.389233, 0.617657, 0.188219, 0.549799, 0.117828, 0.000000, 0.000000, 0.000000], [-0.098799, -0.173680, -0.486906, 0.685914, -0.468097, -0.174778, -0.053444, 0.000000, 0.000000, 0.000000], [0.232721, 0.810357, -0.199630, 0.173285, 0.258463, -0.328115, -0.211706, 0.000000, 0.000000, 0.000000], [0.250351, -0.084685, 0.617403, 0.042843, -0.401016, -0.386323, -0.486900, 0.000000, 0.000000, 0.000000], [0.750338, -0.063478, -0.145257, -0.181596, -0.246609, -0.172766, 0.536863, 0.000000, 0.000000, 0.000000], [0.285352, 0.094147, -0.335593, -0.278259, -0.312513, 0.586306, -0.527485, 0.000000, 0.000000, 0.000000], [0.342501, -0.537908, -0.238034, 0.075850, 0.599468, -0.191485, -0.367295, 0.000000, 0.000000, 0.000000]]
fourier: [[11.291033, 12.619968, 12.931488, 14.069407, 74.172398], [3.345129, 3.740868, 3.847336, 4.252654, 20.279933], [8.244639, 8.818135, 8.991647, 10.111550, 37.085826], [8.492028, 9.447671, 9.704225, 10.501224, 48.560783], [25.408466, 28.293822, 28.997674, 31.492413, 169.313471], [9.643433, 10.758687, 11.014550, 12.020320, 47.238137], [11.679888, 12.898897, 13.241854, 14.136254, 93.189357]]
### 12
mean: [-1.243307]
std: [1.322095]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.108962, 23.542709, 24.178832, 26.324906, 111.897588]]
## 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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"std": 0.7246741056442261, "pca": [0.34250128269195557, -0.5379079580307007, -0.23803360760211945, 0.07585013657808304, 0.5994683504104614, -0.19148480892181396, -0.3672953248023987, 0.0, 0.0, 0.0], "fourier": [11.679888090810078, 12.898897339532201, 13.241854068334495, 14.136254487531454, 93.18935698270798]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -1.2433065176010132, "std": 1.3220950365066528, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.108962271012878, 23.54270930198123, 24.17883185028508, 26.32490592819687, 111.89758750796318]}}, "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": 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": 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": [[-0.182394, -0.220185, 0.25431, -0.276802, 0.143697], [0.092559, -0.313225, 0.218791, -0.296013, -0.522399], [-0.445022, -0.069007, -0.041329, -0.161168, -0.075606], [0.607325, 0.292645, 0.4724, -0.095435, -0.073177], [-0.31243, -0.19611, -0.242482, -0.254965, -0.399264], [-0.78641, 0.468487, 0.709347, -0.1257, 0.40474], [-0.327904, -0.316, 0.691405, 0.443855, 0.093358]], "network.0.bias": [0.483693, -0.234209, -0.526159, -0.018601, -0.306699, 0.059411, 0.125396], "network.2.weight": [[0.300329, 0.477366, -0.116545, -0.039313, -0.214859, 0.360604, 0.559192], [0.3116, -0.152027, 0.15444, 0.078149, -0.224965, -0.184228, -0.478202], [0.19823, -0.182833, -0.364835, -0.37046, 0.229096, -0.159388, 0.164563], [-0.149528, 0.005952, 0.14328, -0.203343, -0.346212, 0.005399, -0.54366], [-0.207816, -0.286036, -0.172548, -0.107065, -0.267331, -0.091735, -0.271228], [0.332702, -0.229223, 0.178727, 0.366051, 0.291115, -0.164004, -0.233788], [-0.302529, -0.374589, -0.004554, 0.701477, 0.045262, -0.324258, -0.212448]], "network.2.bias": [-0.093736, -0.54642, 0.283259, -0.127897, -0.159998, 0.308322, 0.461534], "network.4.weight": [[0.322085, -0.436363, 0.534614, 0.222641, -0.132669, 0.031126, -0.532392], [-0.466764, -0.064431, 0.128327, 0.236071, -0.198696, 0.050223, -0.103348], [0.330504, -0.253143, 0.501861, -0.137371, 0.007514, 0.097244, -0.507125], [0.493499, 0.038036, 0.1023, -0.298161, 0.133692, -0.567986, -0.283133], [-0.117933, -0.286995, -0.039417, 0.053055, -0.047172, 0.09554, -0.300546], [-0.298515, 0.078036, -0.10573, -0.457326, -0.034854, -0.426059, -0.238637], [0.248191, 0.117555, -0.045658, 0.166066, -0.011377, -0.539892, -0.520171]], "network.4.bias": [0.415487, -0.00206, 0.390596, 0.078373, -0.233208, -0.162081, 0.556413], "network.6.weight": [[-0.679363, -0.262379, -0.196298, -0.074477, -0.059381, -0.548342, 0.172467], [-0.3351, -0.434828, -0.361713, 0.170768, 0.089135, -0.311505, -0.248407], [-0.305863, 0.36245, 0.269239, 0.053444, 0.150469, -0.115009, -0.155032], [0.610522, -0.107177, 0.505568, 0.254293, 0.018899, 0.287529, 0.580411], [0.496401, 0.055546, 0.143151, 0.495601, -0.246581, 0.204802, -0.048497], [-0.277203, -0.012726, -0.2798, 0.052429, 0.102001, -0.024894, -0.182738], [-0.319142, 0.03995, -0.130133, 0.057312, -0.293303, 0.160937, -0.372901]], "network.6.bias": [0.1931, -0.168675, -0.321822, -0.051613, -0.086554, 0.352587, -0.215531], "network.8.weight": [[-0.246328, 0.03787, -0.059122, -0.188293, -0.347371, 0.09454, 0.308649], [0.15433, 0.214089, 0.433522, 0.323471, 0.20176, 0.054012, -0.232098], [-0.183757, 0.301478, 0.262622, 0.344517, 0.029649, 0.056736, -0.062975], [0.207151, 0.126017, 0.013766, 0.475076, 0.423771, 0.007857, 0.393179], [-0.1549, 0.312535, -0.270376, 0.590198, 0.437823, -0.660486, 0.097949], [-0.348204, 0.227483, -0.161472, 0.447611, 0.440898, -0.343287, -0.057812], [-0.49139, -0.189477, 0.33329, -0.022554, 0.300065, -0.666638, 0.075739]], "network.8.bias": [-0.15165, -0.24915, -0.26407, 0.066329, 0.131599, 0.091074, 0.171569], "network.10.weight": [[-0.034845, 0.370534, -0.062415, 0.14816, 0.347692, 0.041327, 0.149274], [-0.077673, -0.255547, -0.238393, 0.566868, -0.405314, -0.121367, 0.152012], [0.351424, 0.278042, 0.200082, 0.45607, -0.004449, 0.043571, -0.485771], [-0.193216, 0.237576, -0.021911, -0.033924, 0.559872, -0.165304, 0.062608], [-0.249202, 0.136865, 0.418729, 0.302876, 0.549244, 0.557667, 0.266327], [-0.134018, -0.058367, 0.281588, 0.228416, 0.092431, 0.278961, 0.002414], [-0.105341, 0.026281, -0.126655, 0.067491, 0.161435, 0.503859, 0.370929]], "network.10.bias": [0.048003, 0.376503, -0.110908, -0.035386, 0.123121, -0.148021, 0.201808], "network.12.weight": [[-0.233905, 0.280417, -0.150948, -0.225987, -0.439474, -0.123421, -0.213971]], "network.12.bias": [0.186547]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6888877153396606, "train_acc": 0.575, "val_loss": 0.7013124823570251, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.641420841217041, "train_acc": 0.575, "val_loss": 0.5743708610534668, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5432378649711609, "train_acc": 0.5, "val_loss": 0.4294358193874359, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4214402437210083, "train_acc": 0.89, "val_loss": 0.41937255859375, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3393575847148895, "train_acc": 0.9, "val_loss": 0.2973093092441559, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2883494645357132, "train_acc": 0.92, "val_loss": 0.26916345953941345, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2355308011174202, "train_acc": 0.935, "val_loss": 0.272704154253006, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23107433319091797, "train_acc": 0.925, "val_loss": 0.23864582180976868, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21839074790477753, "train_acc": 0.93, "val_loss": 0.2392764538526535, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22538034617900848, "train_acc": 0.925, "val_loss": 0.2608925700187683, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2160933017730713, "train_acc": 0.93, "val_loss": 0.23658104240894318, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.16914113610982895, "train_acc": 0.945, "val_loss": 0.21454086899757385, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7013124823570251, "final_val_loss": 0.5743708610534668, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4294358193874359, "final_val_loss": 0.21454086899757385, "initial_val_acc": 0.92, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 2}, "improvement": 0.42000000000000004, "first_improvement_epoch": 1}}
|
9,928
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.68, "improved_accuracy": 0.92, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5794, "learning_rate": 0.03899756964119874, "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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"network.6.weight": [
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]
}
## Activation Signature
### 0
mean: [-0.122656, 3.689521, -1.360661, 0.211784, 2.757398]
std: [0.700240, 2.182180, 1.944186, 1.288491, 2.424023]
pca: [[0.028200, -0.253272, -0.206947, 0.697969, 0.636451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.594105, 0.147194, 0.246534, 0.559674, -0.501357, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426668, 0.751328, 0.401683, 0.242206, 0.182885, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146495, -0.539418, 0.826427, -0.006265, 0.067422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.665385, 0.242324, 0.228172, -0.375368, 0.552791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.039044, 11.780017, 11.830970, 12.032667, 12.404791], [33.488394, 35.952923, 38.168920, 42.186427, 332.056920], [33.191090, 37.347227, 39.382814, 40.032365, 122.459510], [19.060594, 19.931392, 21.977967, 23.189941, 23.430757], [36.395357, 39.354066, 41.798198, 50.037247, 248.165819]]
### 2
mean: [-1.231456, 3.600750, 2.975873, -1.369716, -0.952990]
std: [0.896980, 2.129376, 2.717086, 0.822030, 0.790803]
pca: [[-0.224015, 0.472474, 0.189736, -0.142915, 0.818634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.571184, 0.640110, 0.252371, 0.399444, -0.201896, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.742626, -0.473162, 0.145781, -0.188772, 0.409558, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181524, -0.110283, 0.909884, -0.261139, -0.242497, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197791, -0.361916, 0.226206, 0.846281, 0.250069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.884270, 14.790038, 15.906754, 16.435516, 110.831040], [31.890452, 34.586660, 36.444193, 45.615854, 324.067490], [40.329506, 41.608747, 48.783994, 51.312911, 267.828614], [12.200860, 13.135196, 13.991236, 17.026850, 123.274444], [12.723580, 12.742794, 15.930609, 16.364701, 85.769084]]
### 4
mean: [1.504742, 0.838701, 5.030774, -1.268187, 0.422433]
std: [1.715908, 1.067103, 3.281975, 1.170062, 1.016427]
pca: [[0.417353, -0.252739, 0.232413, 0.715550, -0.442620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.259292, -0.149629, 0.832359, -0.466243, 0.013249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.798161, 0.491643, -0.194535, -0.053126, 0.283832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279890, 0.329058, 0.425557, 0.515667, 0.605286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207812, 0.750828, 0.184987, -0.043260, -0.597478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.246419, 26.468815, 30.550315, 31.615695, 135.426809], [15.526110, 16.357509, 19.310029, 19.830365, 75.483072], [48.174330, 49.660879, 57.886865, 67.057970, 452.769628], [17.630239, 19.887506, 20.099822, 20.935817, 114.136855], [15.627822, 16.143120, 18.071186, 21.754742, 38.019012]]
### 6
mean: [1.735537, -0.226474, -0.125094, 0.276291, 4.014764]
std: [0.914186, 0.392640, 0.533561, 0.712781, 3.535758]
pca: [[-0.163746, 0.832325, -0.215547, -0.337906, -0.346093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093153, 0.027157, 0.916436, -0.084418, -0.378951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135691, 0.215298, 0.280630, -0.424975, 0.822118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165883, 0.443403, 0.145605, 0.835313, 0.238596, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.958426, 0.252066, 0.117178, 0.018473, 0.061727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.279758, 14.907009, 17.554120, 19.601504, 156.198284], [5.991563, 7.353444, 7.602657, 8.003335, 20.382641], [8.448270, 8.645645, 9.563488, 10.151466, 11.258423], [10.811734, 12.511313, 12.789688, 14.149295, 24.866152], [50.740572, 52.254358, 62.211890, 67.120144, 361.328815]]
### 8
mean: [-1.151057]
std: [2.496638]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.450211, 41.410900, 42.996770, 43.851391, 103.595165]]
## 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": [
[
-0.031582,
-0.038392,
0.300011,
-0.164699,
-0.162262
],
[
0.388016,
0.434845,
0.59929,
0.290607,
0.037366
],
[
-0.54347,
0.262149,
-0.574516,
0.083409,
-0.310419
],
[
-0.562095,
0.060431,
0.125548,
-0.274448,
0.460465
],
[
0.645793,
0.490858,
0.306482,
0.299857,
0.287375
]
],
"network.0.bias": [
-0.086774,
0.493148,
0.242049,
0.559538,
-0.578372
],
"network.2.weight": [
[
-0.207859,
-0.279894,
-0.531673,
0.347498,
-0.062873
],
[
-0.932766,
0.658594,
-0.38001,
0.556617,
0.31596
],
[
0.236655,
0.297954,
0.562461,
-0.39245,
0.838052
],
[
-0.889609,
-0.191866,
-0.676339,
-0.287123,
-0.11202
],
[
-0.387766,
-0.128571,
0.369836,
-0.193998,
-0.192421
]
],
"network.2.bias": [
-0.145862,
0.158249,
-0.299753,
-0.067465,
0.154136
],
"network.4.weight": [
[
0.367641,
0.014955,
0.6165,
0.329363,
0.201313
],
[
0.084785,
0.057017,
0.346908,
0.427847,
0.823463
],
[
-0.097882,
0.858571,
0.546912,
-0.260945,
-0.794491
],
[
0.271543,
0.149586,
-0.541161,
-0.301449,
0.072024
],
[
-0.041429,
0.549948,
-0.737345,
-0.690442,
-0.425575
]
],
"network.4.bias": [
-0.300134,
-0.279351,
0.243179,
-0.192911,
0.546344
],
"network.6.weight": [
[
-0.691459,
-0.601869,
0.449805,
-0.760918,
0.64257
],
[
0.032588,
0.524465,
-0.218153,
-0.317604,
0.508606
],
[
-0.278282,
0.153484,
-0.00521,
-0.520869,
0.378127
],
[
0.002507,
-0.677249,
0.106459,
-0.486265,
0.607932
],
[
0.605894,
0.022344,
0.705862,
0.840587,
-0.413189
]
],
"network.6.bias": [
0.585571,
0.09029,
-0.055472,
-0.091292,
-0.147094
],
"network.8.weight": [
[
0.599763,
0.281357,
0.496718,
0.509012,
-0.509775
]
],
"network.8.bias": [
-0.279037
]
}
## Activation Signature
### 0
mean: [-0.122656, 3.689521, -1.360661, 0.211784, 2.757398]
std: [0.700240, 2.182180, 1.944186, 1.288491, 2.424023]
pca: [[0.028200, -0.253272, -0.206947, 0.697969, 0.636451, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.594105, 0.147194, 0.246534, 0.559674, -0.501357, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.426668, 0.751328, 0.401683, 0.242206, 0.182885, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.146495, -0.539418, 0.826427, -0.006265, 0.067422, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.665385, 0.242324, 0.228172, -0.375368, 0.552791, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.039044, 11.780017, 11.830970, 12.032667, 12.404791], [33.488394, 35.952923, 38.168920, 42.186427, 332.056920], [33.191090, 37.347227, 39.382814, 40.032365, 122.459510], [19.060594, 19.931392, 21.977967, 23.189941, 23.430757], [36.395357, 39.354066, 41.798198, 50.037247, 248.165819]]
### 2
mean: [-1.231456, 3.600750, 2.975873, -1.369716, -0.952990]
std: [0.896980, 2.129376, 2.717086, 0.822030, 0.790803]
pca: [[-0.224015, 0.472474, 0.189736, -0.142915, 0.818634, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.571184, 0.640110, 0.252371, 0.399444, -0.201896, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.742626, -0.473162, 0.145781, -0.188772, 0.409558, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181524, -0.110283, 0.909884, -0.261139, -0.242497, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.197791, -0.361916, 0.226206, 0.846281, 0.250069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.884270, 14.790038, 15.906754, 16.435516, 110.831040], [31.890452, 34.586660, 36.444193, 45.615854, 324.067490], [40.329506, 41.608747, 48.783994, 51.312911, 267.828614], [12.200860, 13.135196, 13.991236, 17.026850, 123.274444], [12.723580, 12.742794, 15.930609, 16.364701, 85.769084]]
### 4
mean: [1.504742, 0.838701, 5.030774, -1.268187, 0.422433]
std: [1.715908, 1.067103, 3.281975, 1.170062, 1.016427]
pca: [[0.417353, -0.252739, 0.232413, 0.715550, -0.442620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.259292, -0.149629, 0.832359, -0.466243, 0.013249, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.798161, 0.491643, -0.194535, -0.053126, 0.283832, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.279890, 0.329058, 0.425557, 0.515667, 0.605286, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.207812, 0.750828, 0.184987, -0.043260, -0.597478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.246419, 26.468815, 30.550315, 31.615695, 135.426809], [15.526110, 16.357509, 19.310029, 19.830365, 75.483072], [48.174330, 49.660879, 57.886865, 67.057970, 452.769628], [17.630239, 19.887506, 20.099822, 20.935817, 114.136855], [15.627822, 16.143120, 18.071186, 21.754742, 38.019012]]
### 6
mean: [1.735537, -0.226474, -0.125094, 0.276291, 4.014764]
std: [0.914186, 0.392640, 0.533561, 0.712781, 3.535758]
pca: [[-0.163746, 0.832325, -0.215547, -0.337906, -0.346093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.093153, 0.027157, 0.916436, -0.084418, -0.378951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.135691, 0.215298, 0.280630, -0.424975, 0.822118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165883, 0.443403, 0.145605, 0.835313, 0.238596, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.958426, 0.252066, 0.117178, 0.018473, 0.061727, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.279758, 14.907009, 17.554120, 19.601504, 156.198284], [5.991563, 7.353444, 7.602657, 8.003335, 20.382641], [8.448270, 8.645645, 9.563488, 10.151466, 11.258423], [10.811734, 12.511313, 12.789688, 14.149295, 24.866152], [50.740572, 52.254358, 62.211890, 67.120144, 361.328815]]
### 8
mean: [-1.151057]
std: [2.496638]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.450211, 41.410900, 42.996770, 43.851391, 103.595165]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": -0.12265603989362717, "std": 0.7002397179603577, "pca": [0.028200045228004456, -0.2532724440097809, -0.20694711804389954, 0.6979690790176392, 0.636451005935669, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [11.039044201374054, 11.780017208783294, 11.830970469645955, 12.032666580579834, 12.404790656131981]}, "1": {"mean": 3.689520835876465, "std": 2.1821796894073486, "pca": [0.5941050052642822, 0.14719441533088684, 0.2465336173772812, 0.559674084186554, -0.5013572573661804, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.48839353400214, 35.95292341205759, 38.168920146772265, 42.18642704323348, 332.05691996216774]}, "2": {"mean": -1.360661268234253, "std": 1.944185733795166, "pca": [-0.4266679286956787, 0.75132817029953, 0.40168336033821106, 0.24220633506774902, 0.18288519978523254, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.191090104977214, 37.34722710193724, 39.382813768109905, 40.032364875045424, 122.4595103263855]}, "3": {"mean": 0.21178436279296875, "std": 1.2884910106658936, "pca": [-0.1464954912662506, -0.5394182205200195, 0.8264272809028625, -0.006265072152018547, 0.0674222856760025, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [19.060593515634537, 19.931392064847255, 21.97796683803826, 23.189941319985778, 23.430757491356644]}, "4": {"mean": 2.7573981285095215, "std": 2.424023389816284, "pca": [0.6653852462768555, 0.24232377111911774, 0.22817207872867584, -0.3753676414489746, 0.5527913570404053, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [36.39535746283746, 39.35406569545107, 41.798198346531485, 50.03724696626966, 248.16581931710243]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -1.2314560413360596, "std": 0.8969795107841492, "pca": [-0.22401519119739532, 0.47247394919395447, 0.18973617255687714, -0.1429150402545929, 0.8186336159706116, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [13.884270285565572, 14.790037621220405, 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[39.45021137083853, 41.41089960458482, 42.99677029286325, 43.85139064717497, 103.59516479074955]}}, "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": [[-0.031582, -0.038392, 0.300011, -0.164699, -0.162262], [0.388016, 0.434845, 0.59929, 0.290607, 0.037366], [-0.54347, 0.262149, -0.574516, 0.083409, -0.310419], [-0.562095, 0.060431, 0.125548, -0.274448, 0.460465], [0.645793, 0.490858, 0.306482, 0.299857, 0.287375]], "network.0.bias": [-0.086774, 0.493148, 0.242049, 0.559538, -0.578372], "network.2.weight": [[-0.207859, -0.279894, -0.531673, 0.347498, -0.062873], [-0.932766, 0.658594, -0.38001, 0.556617, 0.31596], [0.236655, 0.297954, 0.562461, -0.39245, 0.838052], [-0.889609, -0.191866, -0.676339, -0.287123, -0.11202], [-0.387766, -0.128571, 0.369836, -0.193998, -0.192421]], "network.2.bias": [-0.145862, 0.158249, -0.299753, -0.067465, 0.154136], "network.4.weight": [[0.367641, 0.014955, 0.6165, 0.329363, 0.201313], [0.084785, 0.057017, 0.346908, 0.427847, 0.823463], [-0.097882, 0.858571, 0.546912, -0.260945, -0.794491], [0.271543, 0.149586, -0.541161, -0.301449, 0.072024], [-0.041429, 0.549948, -0.737345, -0.690442, -0.425575]], "network.4.bias": [-0.300134, -0.279351, 0.243179, -0.192911, 0.546344], "network.6.weight": [[-0.691459, -0.601869, 0.449805, -0.760918, 0.64257], [0.032588, 0.524465, -0.218153, -0.317604, 0.508606], [-0.278282, 0.153484, -0.00521, -0.520869, 0.378127], [0.002507, -0.677249, 0.106459, -0.486265, 0.607932], [0.605894, 0.022344, 0.705862, 0.840587, -0.413189]], "network.6.bias": [0.585571, 0.09029, -0.055472, -0.091292, -0.147094], "network.8.weight": [[0.599763, 0.281357, 0.496718, 0.509012, -0.509775]], "network.8.bias": [-0.279037]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6911914348602295, "train_acc": 0.57, "val_loss": 0.7084392309188843, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819573640823364, "train_acc": 0.57, "val_loss": 0.6998530626296997, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6720864474773407, "train_acc": 0.57, "val_loss": 0.6788924336433411, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6607366800308228, "train_acc": 0.57, "val_loss": 0.6304001212120056, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5933008193969727, "train_acc": 0.735, "val_loss": 0.514780580997467, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4787352830171585, "train_acc": 0.775, "val_loss": 0.4482693374156952, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.43881379067897797, "train_acc": 0.81, "val_loss": 0.3784672021865845, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.45288926362991333, "train_acc": 0.79, "val_loss": 0.35383084416389465, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.36904938519001007, "train_acc": 0.815, "val_loss": 0.318688303232193, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3458177447319031, "train_acc": 0.85, "val_loss": 0.34290093183517456, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3449965715408325, "train_acc": 0.87, "val_loss": 0.27683791518211365, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2916209548711777, "train_acc": 0.92, "val_loss": 0.26740679144859314, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2581632286310196, "train_acc": 0.93, "val_loss": 0.2725527584552765, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.27024419605731964, "train_acc": 0.915, "val_loss": 0.24689294397830963, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7084392309188843, "final_val_loss": 0.6304001212120056, "initial_val_acc": 0.48, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.514780580997467, "final_val_loss": 0.24689294397830963, "initial_val_acc": 0.76, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.24, "first_improvement_epoch": 3}}
|
9,929
|
{"target_pattern": "contains_abc", "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": "relu", "dropout_rate": 0.0, "random_seed": 5776, "learning_rate": 0.05257652176533511, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
0.586084,
-0.083774,
0.574828,
-0.502067,
0.137552,
-0.119664,
-0.459746,
-0.072593
],
[
0.301056,
0.22514,
0.566823,
-0.266709,
0.347516,
-0.19424,
-0.177897,
0.144438
],
[
-0.27508,
0.140648,
0.147193,
0.045662,
-0.103467,
-0.21923,
-0.195779,
0.316944
],
[
0.471905,
-0.114688,
0.275495,
-0.098925,
-0.250747,
0.053002,
0.200093,
0.110053
],
[
-0.154848,
0.766825,
-0.261408,
0.069938,
0.144671,
-0.305979,
0.903544,
0.081045
],
[
-0.000388,
-0.079097,
-0.151137,
0.272319,
0.294286,
0.229636,
-0.29061,
0.079642
],
[
0.26599,
-0.120398,
-0.28784,
0.32824,
-0.333304,
-0.080321,
-0.103744,
0.351118
]
],
"network.10.bias": [
-0.09759,
0.022019,
-0.181605,
-0.318044,
-0.330084,
0.960546,
-0.227906,
-0.353194
],
"network.12.weight": [
[
0.039794,
-0.393584,
-0.354727,
-0.09297,
-0.556291,
0.804311,
0.150216,
-0.131839
]
],
"network.12.bias": [
0.242414
]
}
## Activation Signature
### 0
mean: [1.540113, -0.358784, 2.243533, 2.848602, 2.579462, -1.034273, 0.523320, -1.690860]
std: [2.648846, 1.727670, 3.148456, 2.649684, 2.331428, 1.396978, 2.283264, 1.318302]
pca: [[0.429911, -0.245086, -0.301019, 0.653062, -0.192923, -0.087231, -0.436388, 0.052388, 0.000000, 0.000000], [0.041123, 0.661706, 0.487342, 0.409616, -0.313635, 0.233220, 0.033437, -0.035919, 0.000000, 0.000000], [0.544229, -0.011073, 0.264485, 0.077164, 0.748269, 0.241249, 0.097732, 0.011259, 0.000000, 0.000000], [0.446366, 0.238880, -0.317443, -0.014713, -0.153846, -0.404344, 0.619104, -0.268802, 0.000000, 0.000000], [0.398824, 0.095492, -0.138557, -0.385020, -0.311971, 0.308248, 0.017417, 0.686831, 0.000000, 0.000000], [-0.191629, -0.333415, -0.210160, 0.322246, -0.098831, 0.635736, 0.536542, -0.047939, 0.000000, 0.000000], [0.288232, -0.545233, 0.606050, -0.172903, -0.402999, -0.054253, 0.075142, -0.226833, 0.000000, 0.000000], [-0.197986, -0.165313, 0.265521, 0.342893, 0.106478, -0.462799, 0.348970, 0.630948, 0.000000, 0.000000]]
fourier: [[44.033976, 45.413209, 51.333530, 54.654542, 138.610157], [25.799554, 25.902296, 28.170177, 31.778410, 32.290540], [49.409721, 49.687748, 50.869332, 53.276595, 201.917991], [42.719205, 45.184985, 48.646567, 51.809800, 256.374202], [35.299929, 39.856804, 41.758580, 43.972098, 232.151545], [20.811644, 25.004562, 26.362079, 28.053904, 93.084547], [33.899865, 34.361502, 34.909990, 39.716658, 47.098775], [20.207588, 20.744723, 23.967037, 27.304077, 152.177363]]
### 2
mean: [-1.190792, -1.296570, -1.354476, -0.566197, 3.476288, 3.371508, -2.876149, 5.452689]
std: [0.937228, 2.449103, 0.830651, 0.587684, 3.950955, 3.959965, 3.832522, 6.415301]
pca: [[-0.085741, 0.398882, 0.314255, 0.659859, -0.101669, -0.494012, -0.201282, -0.066876, 0.000000, 0.000000], [-0.248521, -0.317095, 0.618715, -0.121381, -0.343158, -0.045778, 0.446679, -0.347521, 0.000000, 0.000000], [-0.082912, -0.046216, 0.160463, 0.396131, -0.118507, 0.799376, -0.347388, -0.186002, 0.000000, 0.000000], [0.041613, 0.572311, -0.082815, 0.004724, -0.490087, 0.267987, 0.473917, 0.356718, 0.000000, 0.000000], [0.405757, -0.040188, 0.606434, 0.031070, 0.422993, 0.127503, 0.100244, 0.509695, 0.000000, 0.000000], [0.407706, -0.076813, -0.262266, 0.444782, 0.278626, 0.062283, 0.563145, -0.403259, 0.000000, 0.000000], [-0.392748, 0.561557, 0.140652, -0.257907, 0.556376, 0.149082, 0.112243, -0.315794, 0.000000, 0.000000], [0.661185, 0.296320, 0.171755, -0.357209, -0.227085, -0.025989, -0.273693, -0.436783, 0.000000, 0.000000]]
fourier: [[15.826741, 16.389713, 16.815851, 19.294072, 107.171316], [39.871465, 40.684130, 41.765224, 42.129183, 116.691306], [13.737540, 13.951742, 14.412501, 14.539395, 121.902842], [8.818556, 9.959396, 10.040186, 11.036591, 50.957728], [67.287864, 68.791165, 72.295323, 73.759149, 312.865846], [65.655043, 67.152205, 68.553746, 70.545592, 303.435706], [62.494292, 66.170273, 67.168597, 68.351477, 258.853389], [108.650512, 109.224915, 109.465150, 112.106362, 490.742020]]
### 4
mean: [-1.641428, -2.301942, -1.958897, -3.944473, 2.712174, 6.880437, 0.608542, 3.103835]
std: [1.907979, 2.492357, 2.049285, 4.209380, 3.846630, 8.241813, 0.693891, 4.174235]
pca: [[-0.165642, -0.238677, -0.169839, 0.365702, 0.563032, -0.359990, 0.552214, 0.038403, 0.000000, 0.000000], [-0.216582, -0.046474, 0.018369, 0.711128, -0.192750, 0.329200, -0.175258, 0.518317, 0.000000, 0.000000], [-0.178130, -0.037315, 0.119565, -0.451756, -0.013201, -0.390576, -0.028413, 0.771341, 0.000000, 0.000000], [-0.366004, -0.211121, 0.238893, -0.339634, 0.160929, 0.690486, 0.380922, 0.035738, 0.000000, 0.000000], [0.334167, 0.238904, 0.737125, 0.180037, -0.207436, -0.115211, 0.444976, 0.034414, 0.000000, 0.000000], [0.716766, -0.270235, -0.398895, -0.082380, -0.115327, 0.247271, 0.288001, 0.299881, 0.000000, 0.000000], [-0.052711, 0.871530, -0.332694, -0.039948, 0.142204, 0.162962, 0.235701, 0.151796, 0.000000, 0.000000], [0.362997, 0.072405, 0.293763, 0.018164, 0.737033, 0.178158, -0.426536, 0.139548, 0.000000, 0.000000]]
fourier: [[32.619712, 32.914671, 33.126720, 33.564146, 147.728523], [42.069802, 42.346934, 42.626215, 42.931446, 207.174745], [34.747251, 35.004265, 36.159684, 37.005385, 176.300770], [71.752688, 72.213178, 73.580449, 74.823004, 355.002586], [65.710702, 66.184571, 68.698750, 69.473726, 244.095698], [138.710888, 140.578313, 143.608173, 144.995501, 619.239385], [10.172026, 10.544654, 13.555402, 14.245852, 54.768755], [70.987519, 71.390142, 73.499434, 73.687817, 279.345182]]
### 6
mean: [3.729468, -2.241395, 7.757433, 7.605634, -5.350767, -4.773890, -2.244910, -0.678701]
std: [4.991778, 3.943282, 9.057125, 9.820567, 6.102246, 5.291600, 4.398135, 0.302834]
pca: [[0.286467, 0.328504, 0.336166, -0.040052, 0.080650, -0.293180, 0.623042, -0.463433, 0.000000, 0.000000], [-0.226186, 0.555031, -0.000757, 0.144616, 0.400814, 0.625989, -0.110815, -0.234674, 0.000000, 0.000000], [0.519839, 0.309452, 0.145053, -0.251743, -0.317756, 0.394556, 0.122343, 0.527238, 0.000000, 0.000000], [0.563677, -0.120907, 0.033784, 0.501428, 0.575568, -0.119080, -0.151021, 0.216361, 0.000000, 0.000000], [-0.350245, -0.041014, 0.397978, -0.441719, 0.535272, -0.139705, 0.135320, 0.444746, 0.000000, 0.000000], [-0.303689, -0.248018, 0.423756, 0.604156, -0.227540, 0.258326, 0.379214, 0.198437, 0.000000, 0.000000], [-0.252284, 0.580913, -0.347077, 0.306444, -0.090702, -0.447631, 0.117306, 0.402692, 0.000000, 0.000000], [-0.016316, 0.270168, 0.637489, 0.093004, -0.232549, -0.256330, -0.621199, -0.077645, 0.000000, 0.000000]]
fourier: [[85.431268, 85.928830, 86.366043, 88.150251, 335.652073], [66.865455, 66.973385, 69.434563, 69.688820, 201.725534], [154.895303, 155.610513, 156.580689, 159.471118, 698.168928], [167.469380, 167.966557, 170.565872, 172.753569, 684.507054], [104.087148, 104.190461, 105.658961, 106.823641, 481.569046], [90.284826, 90.709471, 91.437557, 92.612883, 429.650179], [74.586952, 74.644763, 77.724840, 77.855312, 202.041944], [4.719217, 4.747362, 5.581242, 5.622784, 61.083123]]
### 8
mean: [9.564921, -3.228294, 9.252407, -9.249442, -3.783815, -2.461844, -1.355813, -4.511135]
std: [12.047793, 5.982512, 12.307735, 10.768063, 4.245753, 2.902147, 3.718405, 5.598375]
pca: [[0.528567, -0.141885, -0.541500, 0.168802, 0.531802, -0.102864, 0.186619, -0.224830, 0.000000, 0.000000], [-0.261854, 0.589871, -0.110516, -0.080925, 0.429344, -0.430858, 0.013107, 0.441107, 0.000000, 0.000000], [0.539940, 0.235810, 0.687969, 0.357344, 0.117892, 0.005340, 0.145706, 0.129250, 0.000000, 0.000000], [-0.472401, -0.192653, 0.351186, 0.239915, 0.519008, -0.113997, -0.153993, -0.502745, 0.000000, 0.000000], [-0.186037, -0.309061, -0.139822, 0.545002, 0.167901, 0.389580, -0.160057, 0.589671, 0.000000, 0.000000], [-0.127296, -0.092642, 0.163084, -0.468763, 0.354378, 0.489796, 0.590938, 0.119108, 0.000000, 0.000000], [-0.161980, 0.634172, -0.223719, 0.355818, -0.115151, 0.487626, 0.144133, -0.350882, 0.000000, 0.000000], [-0.245560, -0.181451, -0.041652, 0.369229, -0.287313, -0.401627, 0.724194, 0.020013, 0.000000, 0.000000]]
fourier: [[204.944888, 205.451153, 209.570909, 213.639329, 860.842917], [101.020668, 105.729395, 107.393630, 108.115782, 290.546464], [210.063859, 211.990005, 211.996387, 217.074598, 832.716713], [184.065137, 184.988601, 185.850515, 189.621004, 832.449786], [72.670270, 73.087326, 73.774613, 74.270300, 340.543375], [49.724180, 49.978459, 50.049833, 50.963028, 221.566007], [62.017789, 66.419982, 68.040383, 69.651665, 122.023124], [95.696175, 96.163916, 96.707071, 98.279364, 406.002135]]
### 10
mean: [-3.985781, 10.644123, 7.985771, -1.646945, 6.836076, -1.929056, -1.873995, -0.607431]
std: [4.606072, 14.364472, 10.567016, 1.459027, 8.998217, 5.979585, 1.709680, 0.338140]
pca: [[-0.214364, -0.246576, 0.541636, 0.325138, 0.222237, -0.555327, -0.366603, -0.044600, 0.000000, 0.000000], [0.670219, -0.060829, 0.236852, 0.209086, -0.538104, -0.016661, -0.069035, -0.390758, 0.000000, 0.000000], [0.492817, 0.241009, 0.444306, -0.018833, 0.322027, 0.164406, 0.061969, 0.605568, 0.000000, 0.000000], [-0.068052, -0.019485, 0.449642, -0.359870, 0.224376, -0.031581, 0.637131, -0.453901, 0.000000, 0.000000], [0.419675, 0.192687, -0.420840, 0.080218, 0.627720, -0.267333, -0.096548, -0.358305, 0.000000, 0.000000], [-0.273874, 0.859208, 0.162507, 0.328007, -0.097679, 0.071952, -0.031545, -0.192467, 0.000000, 0.000000], [-0.078136, -0.259300, 0.148386, 0.276778, 0.320432, 0.764170, -0.243670, -0.286404, 0.000000, 0.000000], [-0.010783, -0.185558, -0.159413, 0.728065, 0.027552, -0.052040, 0.617550, 0.158511, 0.000000, 0.000000]]
fourier: [[79.159365, 79.735961, 79.761185, 80.604752, 358.720359], [244.260436, 245.880592, 248.766173, 256.971112, 957.971107], [180.032071, 180.847058, 182.605302, 186.519145, 718.719391], [24.754565, 25.226633, 25.377200, 25.743565, 148.225060], [153.883042, 154.539536, 154.916630, 158.765679, 615.246787], [98.179485, 107.332321, 112.513626, 120.426142, 173.615003], [29.199016, 31.213714, 31.285779, 31.735966, 168.659566], [5.797175, 6.175305, 6.853345, 7.390186, 54.668797]]
### 12
mean: [-9.658174]
std: [15.153156]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[255.878793, 264.238532, 273.956968, 276.859962, 869.235673]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.077055,
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],
[
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[
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0.000913
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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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[
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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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0.341455,
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0.02547,
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],
"network.6.bias": [
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0.458228,
0.242211,
-0.166833,
-0.209511,
-0.035094,
0.62846,
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"network.8.weight": [
[
0.235,
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-0.274031,
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[
-0.704453,
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[
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-0.065008,
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0.187826,
0.067014,
-0.054286,
-0.206729
]
],
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0.044973,
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"network.10.weight": [
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0.301056,
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"network.12.bias": [
0.242414
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}
## Activation Signature
### 0
mean: [1.540113, -0.358784, 2.243533, 2.848602, 2.579462, -1.034273, 0.523320, -1.690860]
std: [2.648846, 1.727670, 3.148456, 2.649684, 2.331428, 1.396978, 2.283264, 1.318302]
pca: [[0.429911, -0.245086, -0.301019, 0.653062, -0.192923, -0.087231, -0.436388, 0.052388, 0.000000, 0.000000], [0.041123, 0.661706, 0.487342, 0.409616, -0.313635, 0.233220, 0.033437, -0.035919, 0.000000, 0.000000], [0.544229, -0.011073, 0.264485, 0.077164, 0.748269, 0.241249, 0.097732, 0.011259, 0.000000, 0.000000], [0.446366, 0.238880, -0.317443, -0.014713, -0.153846, -0.404344, 0.619104, -0.268802, 0.000000, 0.000000], [0.398824, 0.095492, -0.138557, -0.385020, -0.311971, 0.308248, 0.017417, 0.686831, 0.000000, 0.000000], [-0.191629, -0.333415, -0.210160, 0.322246, -0.098831, 0.635736, 0.536542, -0.047939, 0.000000, 0.000000], [0.288232, -0.545233, 0.606050, -0.172903, -0.402999, -0.054253, 0.075142, -0.226833, 0.000000, 0.000000], [-0.197986, -0.165313, 0.265521, 0.342893, 0.106478, -0.462799, 0.348970, 0.630948, 0.000000, 0.000000]]
fourier: [[44.033976, 45.413209, 51.333530, 54.654542, 138.610157], [25.799554, 25.902296, 28.170177, 31.778410, 32.290540], [49.409721, 49.687748, 50.869332, 53.276595, 201.917991], [42.719205, 45.184985, 48.646567, 51.809800, 256.374202], [35.299929, 39.856804, 41.758580, 43.972098, 232.151545], [20.811644, 25.004562, 26.362079, 28.053904, 93.084547], [33.899865, 34.361502, 34.909990, 39.716658, 47.098775], [20.207588, 20.744723, 23.967037, 27.304077, 152.177363]]
### 2
mean: [-1.190792, -1.296570, -1.354476, -0.566197, 3.476288, 3.371508, -2.876149, 5.452689]
std: [0.937228, 2.449103, 0.830651, 0.587684, 3.950955, 3.959965, 3.832522, 6.415301]
pca: [[-0.085741, 0.398882, 0.314255, 0.659859, -0.101669, -0.494012, -0.201282, -0.066876, 0.000000, 0.000000], [-0.248521, -0.317095, 0.618715, -0.121381, -0.343158, -0.045778, 0.446679, -0.347521, 0.000000, 0.000000], [-0.082912, -0.046216, 0.160463, 0.396131, -0.118507, 0.799376, -0.347388, -0.186002, 0.000000, 0.000000], [0.041613, 0.572311, -0.082815, 0.004724, -0.490087, 0.267987, 0.473917, 0.356718, 0.000000, 0.000000], [0.405757, -0.040188, 0.606434, 0.031070, 0.422993, 0.127503, 0.100244, 0.509695, 0.000000, 0.000000], [0.407706, -0.076813, -0.262266, 0.444782, 0.278626, 0.062283, 0.563145, -0.403259, 0.000000, 0.000000], [-0.392748, 0.561557, 0.140652, -0.257907, 0.556376, 0.149082, 0.112243, -0.315794, 0.000000, 0.000000], [0.661185, 0.296320, 0.171755, -0.357209, -0.227085, -0.025989, -0.273693, -0.436783, 0.000000, 0.000000]]
fourier: [[15.826741, 16.389713, 16.815851, 19.294072, 107.171316], [39.871465, 40.684130, 41.765224, 42.129183, 116.691306], [13.737540, 13.951742, 14.412501, 14.539395, 121.902842], [8.818556, 9.959396, 10.040186, 11.036591, 50.957728], [67.287864, 68.791165, 72.295323, 73.759149, 312.865846], [65.655043, 67.152205, 68.553746, 70.545592, 303.435706], [62.494292, 66.170273, 67.168597, 68.351477, 258.853389], [108.650512, 109.224915, 109.465150, 112.106362, 490.742020]]
### 4
mean: [-1.641428, -2.301942, -1.958897, -3.944473, 2.712174, 6.880437, 0.608542, 3.103835]
std: [1.907979, 2.492357, 2.049285, 4.209380, 3.846630, 8.241813, 0.693891, 4.174235]
pca: [[-0.165642, -0.238677, -0.169839, 0.365702, 0.563032, -0.359990, 0.552214, 0.038403, 0.000000, 0.000000], [-0.216582, -0.046474, 0.018369, 0.711128, -0.192750, 0.329200, -0.175258, 0.518317, 0.000000, 0.000000], [-0.178130, -0.037315, 0.119565, -0.451756, -0.013201, -0.390576, -0.028413, 0.771341, 0.000000, 0.000000], [-0.366004, -0.211121, 0.238893, -0.339634, 0.160929, 0.690486, 0.380922, 0.035738, 0.000000, 0.000000], [0.334167, 0.238904, 0.737125, 0.180037, -0.207436, -0.115211, 0.444976, 0.034414, 0.000000, 0.000000], [0.716766, -0.270235, -0.398895, -0.082380, -0.115327, 0.247271, 0.288001, 0.299881, 0.000000, 0.000000], [-0.052711, 0.871530, -0.332694, -0.039948, 0.142204, 0.162962, 0.235701, 0.151796, 0.000000, 0.000000], [0.362997, 0.072405, 0.293763, 0.018164, 0.737033, 0.178158, -0.426536, 0.139548, 0.000000, 0.000000]]
fourier: [[32.619712, 32.914671, 33.126720, 33.564146, 147.728523], [42.069802, 42.346934, 42.626215, 42.931446, 207.174745], [34.747251, 35.004265, 36.159684, 37.005385, 176.300770], [71.752688, 72.213178, 73.580449, 74.823004, 355.002586], [65.710702, 66.184571, 68.698750, 69.473726, 244.095698], [138.710888, 140.578313, 143.608173, 144.995501, 619.239385], [10.172026, 10.544654, 13.555402, 14.245852, 54.768755], [70.987519, 71.390142, 73.499434, 73.687817, 279.345182]]
### 6
mean: [3.729468, -2.241395, 7.757433, 7.605634, -5.350767, -4.773890, -2.244910, -0.678701]
std: [4.991778, 3.943282, 9.057125, 9.820567, 6.102246, 5.291600, 4.398135, 0.302834]
pca: [[0.286467, 0.328504, 0.336166, -0.040052, 0.080650, -0.293180, 0.623042, -0.463433, 0.000000, 0.000000], [-0.226186, 0.555031, -0.000757, 0.144616, 0.400814, 0.625989, -0.110815, -0.234674, 0.000000, 0.000000], [0.519839, 0.309452, 0.145053, -0.251743, -0.317756, 0.394556, 0.122343, 0.527238, 0.000000, 0.000000], [0.563677, -0.120907, 0.033784, 0.501428, 0.575568, -0.119080, -0.151021, 0.216361, 0.000000, 0.000000], [-0.350245, -0.041014, 0.397978, -0.441719, 0.535272, -0.139705, 0.135320, 0.444746, 0.000000, 0.000000], [-0.303689, -0.248018, 0.423756, 0.604156, -0.227540, 0.258326, 0.379214, 0.198437, 0.000000, 0.000000], [-0.252284, 0.580913, -0.347077, 0.306444, -0.090702, -0.447631, 0.117306, 0.402692, 0.000000, 0.000000], [-0.016316, 0.270168, 0.637489, 0.093004, -0.232549, -0.256330, -0.621199, -0.077645, 0.000000, 0.000000]]
fourier: [[85.431268, 85.928830, 86.366043, 88.150251, 335.652073], [66.865455, 66.973385, 69.434563, 69.688820, 201.725534], [154.895303, 155.610513, 156.580689, 159.471118, 698.168928], [167.469380, 167.966557, 170.565872, 172.753569, 684.507054], [104.087148, 104.190461, 105.658961, 106.823641, 481.569046], [90.284826, 90.709471, 91.437557, 92.612883, 429.650179], [74.586952, 74.644763, 77.724840, 77.855312, 202.041944], [4.719217, 4.747362, 5.581242, 5.622784, 61.083123]]
### 8
mean: [9.564921, -3.228294, 9.252407, -9.249442, -3.783815, -2.461844, -1.355813, -4.511135]
std: [12.047793, 5.982512, 12.307735, 10.768063, 4.245753, 2.902147, 3.718405, 5.598375]
pca: [[0.528567, -0.141885, -0.541500, 0.168802, 0.531802, -0.102864, 0.186619, -0.224830, 0.000000, 0.000000], [-0.261854, 0.589871, -0.110516, -0.080925, 0.429344, -0.430858, 0.013107, 0.441107, 0.000000, 0.000000], [0.539940, 0.235810, 0.687969, 0.357344, 0.117892, 0.005340, 0.145706, 0.129250, 0.000000, 0.000000], [-0.472401, -0.192653, 0.351186, 0.239915, 0.519008, -0.113997, -0.153993, -0.502745, 0.000000, 0.000000], [-0.186037, -0.309061, -0.139822, 0.545002, 0.167901, 0.389580, -0.160057, 0.589671, 0.000000, 0.000000], [-0.127296, -0.092642, 0.163084, -0.468763, 0.354378, 0.489796, 0.590938, 0.119108, 0.000000, 0.000000], [-0.161980, 0.634172, -0.223719, 0.355818, -0.115151, 0.487626, 0.144133, -0.350882, 0.000000, 0.000000], [-0.245560, -0.181451, -0.041652, 0.369229, -0.287313, -0.401627, 0.724194, 0.020013, 0.000000, 0.000000]]
fourier: [[204.944888, 205.451153, 209.570909, 213.639329, 860.842917], [101.020668, 105.729395, 107.393630, 108.115782, 290.546464], [210.063859, 211.990005, 211.996387, 217.074598, 832.716713], [184.065137, 184.988601, 185.850515, 189.621004, 832.449786], [72.670270, 73.087326, 73.774613, 74.270300, 340.543375], [49.724180, 49.978459, 50.049833, 50.963028, 221.566007], [62.017789, 66.419982, 68.040383, 69.651665, 122.023124], [95.696175, 96.163916, 96.707071, 98.279364, 406.002135]]
### 10
mean: [-3.985781, 10.644123, 7.985771, -1.646945, 6.836076, -1.929056, -1.873995, -0.607431]
std: [4.606072, 14.364472, 10.567016, 1.459027, 8.998217, 5.979585, 1.709680, 0.338140]
pca: [[-0.214364, -0.246576, 0.541636, 0.325138, 0.222237, -0.555327, -0.366603, -0.044600, 0.000000, 0.000000], [0.670219, -0.060829, 0.236852, 0.209086, -0.538104, -0.016661, -0.069035, -0.390758, 0.000000, 0.000000], [0.492817, 0.241009, 0.444306, -0.018833, 0.322027, 0.164406, 0.061969, 0.605568, 0.000000, 0.000000], [-0.068052, -0.019485, 0.449642, -0.359870, 0.224376, -0.031581, 0.637131, -0.453901, 0.000000, 0.000000], [0.419675, 0.192687, -0.420840, 0.080218, 0.627720, -0.267333, -0.096548, -0.358305, 0.000000, 0.000000], [-0.273874, 0.859208, 0.162507, 0.328007, -0.097679, 0.071952, -0.031545, -0.192467, 0.000000, 0.000000], [-0.078136, -0.259300, 0.148386, 0.276778, 0.320432, 0.764170, -0.243670, -0.286404, 0.000000, 0.000000], [-0.010783, -0.185558, -0.159413, 0.728065, 0.027552, -0.052040, 0.617550, 0.158511, 0.000000, 0.000000]]
fourier: [[79.159365, 79.735961, 79.761185, 80.604752, 358.720359], [244.260436, 245.880592, 248.766173, 256.971112, 957.971107], [180.032071, 180.847058, 182.605302, 186.519145, 718.719391], [24.754565, 25.226633, 25.377200, 25.743565, 148.225060], [153.883042, 154.539536, 154.916630, 158.765679, 615.246787], [98.179485, 107.332321, 112.513626, 120.426142, 173.615003], [29.199016, 31.213714, 31.285779, 31.735966, 168.659566], [5.797175, 6.175305, 6.853345, 7.390186, 54.668797]]
### 12
mean: [-9.658174]
std: [15.153156]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[255.878793, 264.238532, 273.956968, 276.859962, 869.235673]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.141096, 0.077055, 0.29987, -0.15087, 0.027135], [0.435531, -0.101987, -0.798805, 0.43591, 0.034892], [1.225918, 0.780371, -0.170506, -0.117496, 0.000913], [1.040783, 0.288129, 0.140171, 0.326957, 0.175897], [0.80551, 0.467016, 0.190856, 0.240695, -0.026871], [-0.402483, -0.38203, 0.268028, -0.277167, -0.021311], [0.573925, 0.663252, 0.041735, -0.450747, -0.608691], [-0.349525, -0.202341, -0.180003, -0.266385, -0.116551]], "network.0.bias": [-0.356658, -0.024138, -0.097056, -0.182513, -0.155653, 0.22351, 0.230652, 0.203815], "network.2.weight": [[0.138204, -0.274749, 0.151267, -0.192896, -0.317646, -0.124068, -0.305703, -0.072757], [-0.156295, -0.097869, -0.565482, -0.003246, 0.047335, 0.063746, -0.306989, 0.012857], [0.14154, 0.120758, -0.152623, -0.216219, 0.004995, -0.355232, -0.148271, -0.331446], [0.190058, -0.360451, 0.050581, -0.09717, -0.070924, -0.519633, 0.155625, 0.143963], [0.629286, 0.295459, 0.339132, 0.291711, 0.256845, 0.350024, 0.073635, -0.172682], [0.408669, 0.478633, 0.728918, 0.121342, 0.101582, -0.060435, 0.136554, -0.007808], [-0.329334, -0.632519, -0.565579, -0.084932, -0.46113, 0.405171, 0.028913, 0.149725], [0.79597, 0.137538, 0.662359, 0.327657, 0.499677, -0.136251, 0.418921, 0.035259]], "network.2.bias": [0.069242, 0.549841, -0.472621, -0.482463, -0.161077, -0.007869, 0.655557, -0.199305], "network.4.weight": [[-0.177708, -0.24562, -0.180216, -0.300262, -0.189497, 0.103921, -0.073377, -0.244634], [-0.141908, -0.115753, 0.177917, -0.058807, 0.063289, 0.036049, -0.017203, -0.451468], [-0.152819, 0.133169, -0.158861, -0.136554, -0.252682, -0.202923, -0.241245, -0.037212], [-0.226803, -0.066128, -0.092828, -0.219497, -0.382851, -0.276354, -0.472742, -0.254807], [-0.013664, -0.00982, 0.079459, 0.165936, 0.612133, -0.12933, -0.060344, 0.29957], [-0.329159, -0.224713, 0.304207, 0.531723, 0.29685, 0.635927, 0.116273, 0.698527], [0.286797, 0.466712, -0.03747, -0.030051, 0.171016, -0.29574, 1.091791, 0.007177], [-0.195754, -0.242125, -0.151554, -0.035936, 0.337036, 0.017424, 0.12355, 0.431938]], "network.4.bias": [0.081331, -0.148262, -0.179632, -0.207133, -0.628496, -0.127271, 0.772867, -0.457547], "network.6.weight": [[0.028459, 0.05526, 0.338942, -0.385184, 0.467062, 0.312263, 0.171375, 0.177802], [-0.017725, -0.355582, -0.034842, 0.010732, -0.360199, -0.234335, 0.42257, -0.115934], [0.170023, -0.001648, -0.325284, 0.207441, 0.620016, 0.677508, 0.223226, 0.300604], [0.003173, 0.400524, -0.238395, -0.120914, 0.504309, 0.64287, -0.090171, 0.628652], [0.06446, -0.228195, 0.176666, -0.21107, 0.010557, -0.520671, -0.153143, -0.466106], [0.09307, 0.060585, -0.106529, -0.07996, -0.117255, -0.594241, -0.337333, -0.024788], [0.213202, 0.153522, -0.181422, 0.104239, -0.655022, -0.181319, 0.538857, -0.050682], [0.118346, -0.079782, 0.098528, 0.07043, 0.341455, -0.176675, 0.02547, -0.026025]], "network.6.bias": [-0.413915, 0.458228, 0.242211, -0.166833, -0.209511, -0.035094, 0.62846, -0.352484], "network.8.weight": [[0.235, -0.384305, 0.704068, 0.443357, 0.155196, 0.012776, -0.274031, -0.068137], [-0.704453, 0.628178, 0.126617, -0.336384, 0.13594, 0.229848, 0.617877, -0.014147], [0.661995, 0.233176, 0.398119, 0.549134, -0.209762, -0.143468, -0.250446, -0.026894], [-0.144616, 0.203248, -0.469478, -0.591655, -0.132548, -0.199924, -0.126486, -0.050593], [0.083146, -0.288924, -0.197497, -0.302513, -0.292803, -0.283707, -0.123677, -0.020705], [-0.102882, 0.096547, -0.203223, -0.057579, 0.262104, 0.093827, -0.11505, -0.066948], [-0.550677, 0.444837, 0.201924, -0.251706, -0.095476, -0.204559, 0.742628, -0.072013], [-0.065008, -0.067386, -0.186195, -0.369459, 0.187826, 0.067014, -0.054286, -0.206729]], "network.8.bias": [0.044973, 0.585895, -0.471646, -0.547048, -0.125764, -0.039721, 0.649866, 0.039649], "network.10.weight": [[-0.182331, 0.119558, -0.208379, -0.004791, 0.112621, 0.045315, -0.397582, 0.025797], [0.586084, -0.083774, 0.574828, -0.502067, 0.137552, -0.119664, -0.459746, -0.072593], [0.301056, 0.22514, 0.566823, -0.266709, 0.347516, -0.19424, -0.177897, 0.144438], [-0.27508, 0.140648, 0.147193, 0.045662, -0.103467, -0.21923, -0.195779, 0.316944], [0.471905, -0.114688, 0.275495, -0.098925, -0.250747, 0.053002, 0.200093, 0.110053], [-0.154848, 0.766825, -0.261408, 0.069938, 0.144671, -0.305979, 0.903544, 0.081045], [-0.000388, -0.079097, -0.151137, 0.272319, 0.294286, 0.229636, -0.29061, 0.079642], [0.26599, -0.120398, -0.28784, 0.32824, -0.333304, -0.080321, -0.103744, 0.351118]], "network.10.bias": [-0.09759, 0.022019, -0.181605, -0.318044, -0.330084, 0.960546, -0.227906, -0.353194], "network.12.weight": [[0.039794, -0.393584, -0.354727, -0.09297, -0.556291, 0.804311, 0.150216, -0.131839]], "network.12.bias": [0.242414]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6793050169944763, "train_acc": 0.585, "val_loss": 0.740510880947113, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6773715317249298, "train_acc": 0.585, "val_loss": 0.721403181552887, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6127411127090454, "train_acc": 0.585, "val_loss": 0.6362531185150146, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6280664503574371, "train_acc": 0.515, "val_loss": 0.6167688965797424, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5565539002418518, "train_acc": 0.63, "val_loss": 0.5760239362716675, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5021861493587494, "train_acc": 0.78, "val_loss": 0.4167581796646118, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.37198305130004883, "train_acc": 0.85, "val_loss": 0.3199523687362671, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2890283241868019, "train_acc": 0.905, "val_loss": 0.29146164655685425, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.24185830354690552, "train_acc": 0.905, "val_loss": 0.25721386075019836, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.21009374409914017, "train_acc": 0.93, "val_loss": 0.2038443684577942, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.18515629321336746, "train_acc": 0.94, "val_loss": 0.2082161009311676, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.17953277379274368, "train_acc": 0.955, "val_loss": 0.32209086418151855, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.17683029919862747, "train_acc": 0.955, "val_loss": 0.18065215647220612, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.740510880947113, "final_val_loss": 0.6362531185150146, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6167688965797424, "final_val_loss": 0.18065215647220612, "initial_val_acc": 0.44, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.49999999999999994, "first_improvement_epoch": 2}}
|
9,930
|
{"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": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6730, "learning_rate": 0.01949993376924026, "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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]
],
"network.6.bias": [
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0.025566,
-0.255932,
-0.350782
],
"network.8.weight": [
[
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[
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
mean: [2.939481, 1.213458, -1.999015, 1.460099, 2.295364, -1.512961, -0.659510]
std: [2.050208, 1.982443, 1.169861, 1.563020, 1.674844, 1.459171, 1.129912]
pca: [[0.571284, 0.268470, 0.444507, 0.291661, 0.397747, -0.336647, -0.217651, 0.000000, 0.000000, 0.000000], [0.497472, -0.523800, -0.369837, 0.275150, -0.194367, -0.295509, 0.374920, 0.000000, 0.000000, 0.000000], [-0.188801, -0.366226, 0.105336, 0.471004, 0.569109, 0.491184, 0.179292, 0.000000, 0.000000, 0.000000], [0.345269, -0.355166, 0.534988, -0.150104, -0.440486, 0.470868, -0.173660, 0.000000, 0.000000, 0.000000], [0.358362, 0.608175, -0.248972, 0.172596, -0.145015, 0.523298, 0.339196, 0.000000, 0.000000, 0.000000], [-0.306619, 0.110210, 0.079896, 0.751255, -0.499107, -0.103053, -0.251680, 0.000000, 0.000000, 0.000000], [-0.221047, 0.106161, 0.547682, -0.026011, -0.126363, -0.227826, 0.755886, 0.000000, 0.000000, 0.000000]]
fourier: [[32.328849, 33.614354, 34.188686, 38.230643, 264.553246], [28.060463, 28.430329, 35.294904, 37.451916, 109.211227], [18.680496, 18.837638, 19.629909, 22.420754, 179.911396], [22.063695, 24.398131, 28.052774, 32.311649, 131.408916], [24.881325, 25.761818, 31.454004, 33.980605, 206.582736], [20.322764, 22.836150, 22.933681, 25.160803, 136.166506], [18.309800, 18.714929, 19.635004, 19.739825, 59.355875]]
### 2
mean: [-0.385427, 0.086682, 2.497874, -1.811239, 3.484128, 1.789886, 0.553133]
std: [0.262541, 0.910365, 1.509880, 1.139210, 2.126094, 0.975249, 1.140264]
pca: [[-0.022695, -0.034255, 0.649743, 0.330282, 0.581393, 0.107833, 0.342656, 0.000000, 0.000000, 0.000000], [-0.036081, 0.609615, 0.030851, 0.490140, -0.502871, 0.078538, 0.356134, 0.000000, 0.000000, 0.000000], [0.505712, 0.004794, 0.006079, 0.196082, -0.002899, 0.741446, -0.394965, 0.000000, 0.000000, 0.000000], [-0.363190, -0.193685, -0.399862, 0.714124, 0.221879, -0.104644, -0.317073, 0.000000, 0.000000, 0.000000], [0.712132, 0.011455, 0.080779, 0.249001, 0.003833, -0.633299, -0.152075, 0.000000, 0.000000, 0.000000], [0.316990, -0.057912, -0.624001, -0.008721, 0.320962, 0.124719, 0.623008, 0.000000, 0.000000, 0.000000], [-0.054009, 0.765621, -0.145096, -0.200445, 0.506786, -0.069917, -0.296575, 0.000000, 0.000000, 0.000000]]
fourier: [[4.157645, 4.347187, 4.858600, 5.808681, 34.688395], [12.626466, 12.810067, 13.281020, 17.517334, 18.263678], [23.673033, 24.382873, 26.361101, 27.316199, 224.808672], [17.205392, 18.067181, 19.977447, 20.771276, 163.011528], [33.351060, 34.343317, 36.950479, 38.636476, 313.571555], [14.331414, 15.548496, 16.890425, 17.795879, 161.089779], [16.768456, 17.908016, 19.935324, 20.093965, 49.781979]]
### 4
mean: [-2.302555, -0.644673, 0.112002, 2.456378, 0.990042, 1.943519, 0.283163]
std: [1.423373, 0.552400, 0.147457, 1.684271, 0.663693, 1.600206, 0.527293]
pca: [[-0.487937, 0.497181, 0.418253, 0.196383, 0.073081, -0.542153, -0.044227, 0.000000, 0.000000, 0.000000], [-0.049952, 0.497128, 0.140312, -0.025595, 0.321059, 0.601052, 0.515445, 0.000000, 0.000000, 0.000000], [-0.050743, -0.026789, -0.560939, -0.213626, 0.302927, -0.492992, 0.549192, 0.000000, 0.000000, 0.000000], [0.622516, 0.078633, 0.295788, -0.166215, 0.622138, -0.216813, -0.238976, 0.000000, 0.000000, 0.000000], [0.207860, -0.325291, 0.594968, -0.158029, -0.332061, -0.175322, 0.575341, 0.000000, 0.000000, 0.000000], [0.565495, 0.440791, -0.212235, 0.499272, -0.389588, -0.150779, 0.130727, 0.000000, 0.000000, 0.000000], [-0.079570, -0.445716, 0.064832, 0.783115, 0.388222, 0.035849, 0.159786, 0.000000, 0.000000, 0.000000]]
fourier: [[21.996056, 23.117704, 25.688175, 25.875595, 207.229955], [8.128535, 8.392436, 9.313856, 11.450171, 58.020568], [2.226581, 2.450926, 2.534314, 2.698193, 10.080165], [25.641648, 26.952702, 28.193216, 29.900450, 221.073995], [10.431117, 10.978782, 11.736900, 12.063383, 89.103813], [23.387549, 25.449007, 25.957964, 28.481146, 174.916745], [8.158100, 8.453057, 8.516056, 9.216012, 25.484688]]
### 6
mean: [1.391469, -0.276143, 1.927779, -1.600291, -0.307927, -0.697582, -0.672152]
std: [1.382139, 0.601981, 1.550547, 1.183655, 0.354297, 0.294141, 0.278659]
pca: [[0.551373, 0.065401, 0.473161, 0.193686, 0.024827, 0.611586, 0.235925, 0.000000, 0.000000, 0.000000], [-0.230096, -0.588148, 0.477380, 0.046700, 0.336314, 0.066788, -0.503486, 0.000000, 0.000000, 0.000000], [0.618360, 0.212119, 0.130310, -0.346060, 0.363565, -0.485653, -0.260498, 0.000000, 0.000000, 0.000000], [-0.465166, 0.712914, 0.371465, -0.230649, 0.153599, 0.185138, -0.162239, 0.000000, 0.000000, 0.000000], [-0.136968, -0.279438, 0.380230, -0.607650, -0.124767, -0.169856, 0.587302, 0.000000, 0.000000, 0.000000], [-0.115546, 0.126714, 0.373781, 0.646333, 0.125101, -0.536234, 0.331567, 0.000000, 0.000000, 0.000000], [-0.110381, -0.049220, -0.330111, -0.019066, 0.836234, 0.186999, 0.376565, 0.000000, 0.000000, 0.000000]]
fourier: [[20.647679, 20.826434, 21.754855, 25.397607, 125.232203], [9.293485, 9.847816, 10.151280, 10.608159, 24.852910], [23.106656, 23.725620, 24.053657, 28.538230, 173.500120], [18.300361, 19.426494, 20.538043, 20.635468, 144.026194], [5.530392, 5.821689, 5.963835, 6.141128, 27.713461], [4.528812, 4.794818, 5.071957, 5.176242, 62.782360], [4.136364, 4.270265, 4.287727, 5.095840, 60.493693]]
### 8
mean: [-0.645689, 1.600091, 0.919101, 0.523713, -0.495544, -0.457403, -0.670381]
std: [0.650316, 1.470061, 0.872866, 0.415081, 0.408732, 0.561849, 0.811089]
pca: [[-0.300892, 0.689018, 0.143059, 0.474118, -0.298395, 0.263678, -0.175778, 0.000000, 0.000000, 0.000000], [0.681367, 0.088204, -0.087608, 0.028117, 0.188557, 0.687772, -0.104446, 0.000000, 0.000000, 0.000000], [0.404433, -0.269029, 0.605712, 0.443077, -0.140553, -0.312464, -0.288901, 0.000000, 0.000000, 0.000000], [0.192047, 0.406170, 0.395440, -0.023732, 0.325019, -0.172093, 0.711305, 0.000000, 0.000000, 0.000000], [-0.189285, -0.201106, -0.288716, 0.676277, 0.615336, -0.009867, 0.065457, 0.000000, 0.000000, 0.000000], [-0.260095, -0.488360, 0.261736, 0.153594, -0.328750, 0.510765, 0.482495, 0.000000, 0.000000, 0.000000], [-0.375867, -0.034413, 0.544736, -0.310804, 0.513127, 0.263089, -0.362889, 0.000000, 0.000000, 0.000000]]
fourier: [[10.063031, 10.193737, 10.262095, 12.229597, 58.112026], [22.059911, 22.755705, 23.505892, 27.405607, 144.008199], [13.079122, 13.478854, 13.666790, 16.408562, 82.719103], [6.275976, 6.295604, 6.553598, 7.652261, 47.134140], [6.096451, 6.202498, 6.363669, 7.621329, 44.598935], [8.316468, 8.656521, 9.109369, 10.338926, 41.166262], [12.219443, 12.653102, 13.124767, 15.099310, 60.334287]]
### 10
mean: [-1.002639]
std: [0.930297]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.126609, 14.469777, 15.079469, 17.697791, 90.237486]]
## 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:
{
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"network.2.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.939481, 1.213458, -1.999015, 1.460099, 2.295364, -1.512961, -0.659510]
std: [2.050208, 1.982443, 1.169861, 1.563020, 1.674844, 1.459171, 1.129912]
pca: [[0.571284, 0.268470, 0.444507, 0.291661, 0.397747, -0.336647, -0.217651, 0.000000, 0.000000, 0.000000], [0.497472, -0.523800, -0.369837, 0.275150, -0.194367, -0.295509, 0.374920, 0.000000, 0.000000, 0.000000], [-0.188801, -0.366226, 0.105336, 0.471004, 0.569109, 0.491184, 0.179292, 0.000000, 0.000000, 0.000000], [0.345269, -0.355166, 0.534988, -0.150104, -0.440486, 0.470868, -0.173660, 0.000000, 0.000000, 0.000000], [0.358362, 0.608175, -0.248972, 0.172596, -0.145015, 0.523298, 0.339196, 0.000000, 0.000000, 0.000000], [-0.306619, 0.110210, 0.079896, 0.751255, -0.499107, -0.103053, -0.251680, 0.000000, 0.000000, 0.000000], [-0.221047, 0.106161, 0.547682, -0.026011, -0.126363, -0.227826, 0.755886, 0.000000, 0.000000, 0.000000]]
fourier: [[32.328849, 33.614354, 34.188686, 38.230643, 264.553246], [28.060463, 28.430329, 35.294904, 37.451916, 109.211227], [18.680496, 18.837638, 19.629909, 22.420754, 179.911396], [22.063695, 24.398131, 28.052774, 32.311649, 131.408916], [24.881325, 25.761818, 31.454004, 33.980605, 206.582736], [20.322764, 22.836150, 22.933681, 25.160803, 136.166506], [18.309800, 18.714929, 19.635004, 19.739825, 59.355875]]
### 2
mean: [-0.385427, 0.086682, 2.497874, -1.811239, 3.484128, 1.789886, 0.553133]
std: [0.262541, 0.910365, 1.509880, 1.139210, 2.126094, 0.975249, 1.140264]
pca: [[-0.022695, -0.034255, 0.649743, 0.330282, 0.581393, 0.107833, 0.342656, 0.000000, 0.000000, 0.000000], [-0.036081, 0.609615, 0.030851, 0.490140, -0.502871, 0.078538, 0.356134, 0.000000, 0.000000, 0.000000], [0.505712, 0.004794, 0.006079, 0.196082, -0.002899, 0.741446, -0.394965, 0.000000, 0.000000, 0.000000], [-0.363190, -0.193685, -0.399862, 0.714124, 0.221879, -0.104644, -0.317073, 0.000000, 0.000000, 0.000000], [0.712132, 0.011455, 0.080779, 0.249001, 0.003833, -0.633299, -0.152075, 0.000000, 0.000000, 0.000000], [0.316990, -0.057912, -0.624001, -0.008721, 0.320962, 0.124719, 0.623008, 0.000000, 0.000000, 0.000000], [-0.054009, 0.765621, -0.145096, -0.200445, 0.506786, -0.069917, -0.296575, 0.000000, 0.000000, 0.000000]]
fourier: [[4.157645, 4.347187, 4.858600, 5.808681, 34.688395], [12.626466, 12.810067, 13.281020, 17.517334, 18.263678], [23.673033, 24.382873, 26.361101, 27.316199, 224.808672], [17.205392, 18.067181, 19.977447, 20.771276, 163.011528], [33.351060, 34.343317, 36.950479, 38.636476, 313.571555], [14.331414, 15.548496, 16.890425, 17.795879, 161.089779], [16.768456, 17.908016, 19.935324, 20.093965, 49.781979]]
### 4
mean: [-2.302555, -0.644673, 0.112002, 2.456378, 0.990042, 1.943519, 0.283163]
std: [1.423373, 0.552400, 0.147457, 1.684271, 0.663693, 1.600206, 0.527293]
pca: [[-0.487937, 0.497181, 0.418253, 0.196383, 0.073081, -0.542153, -0.044227, 0.000000, 0.000000, 0.000000], [-0.049952, 0.497128, 0.140312, -0.025595, 0.321059, 0.601052, 0.515445, 0.000000, 0.000000, 0.000000], [-0.050743, -0.026789, -0.560939, -0.213626, 0.302927, -0.492992, 0.549192, 0.000000, 0.000000, 0.000000], [0.622516, 0.078633, 0.295788, -0.166215, 0.622138, -0.216813, -0.238976, 0.000000, 0.000000, 0.000000], [0.207860, -0.325291, 0.594968, -0.158029, -0.332061, -0.175322, 0.575341, 0.000000, 0.000000, 0.000000], [0.565495, 0.440791, -0.212235, 0.499272, -0.389588, -0.150779, 0.130727, 0.000000, 0.000000, 0.000000], [-0.079570, -0.445716, 0.064832, 0.783115, 0.388222, 0.035849, 0.159786, 0.000000, 0.000000, 0.000000]]
fourier: [[21.996056, 23.117704, 25.688175, 25.875595, 207.229955], [8.128535, 8.392436, 9.313856, 11.450171, 58.020568], [2.226581, 2.450926, 2.534314, 2.698193, 10.080165], [25.641648, 26.952702, 28.193216, 29.900450, 221.073995], [10.431117, 10.978782, 11.736900, 12.063383, 89.103813], [23.387549, 25.449007, 25.957964, 28.481146, 174.916745], [8.158100, 8.453057, 8.516056, 9.216012, 25.484688]]
### 6
mean: [1.391469, -0.276143, 1.927779, -1.600291, -0.307927, -0.697582, -0.672152]
std: [1.382139, 0.601981, 1.550547, 1.183655, 0.354297, 0.294141, 0.278659]
pca: [[0.551373, 0.065401, 0.473161, 0.193686, 0.024827, 0.611586, 0.235925, 0.000000, 0.000000, 0.000000], [-0.230096, -0.588148, 0.477380, 0.046700, 0.336314, 0.066788, -0.503486, 0.000000, 0.000000, 0.000000], [0.618360, 0.212119, 0.130310, -0.346060, 0.363565, -0.485653, -0.260498, 0.000000, 0.000000, 0.000000], [-0.465166, 0.712914, 0.371465, -0.230649, 0.153599, 0.185138, -0.162239, 0.000000, 0.000000, 0.000000], [-0.136968, -0.279438, 0.380230, -0.607650, -0.124767, -0.169856, 0.587302, 0.000000, 0.000000, 0.000000], [-0.115546, 0.126714, 0.373781, 0.646333, 0.125101, -0.536234, 0.331567, 0.000000, 0.000000, 0.000000], [-0.110381, -0.049220, -0.330111, -0.019066, 0.836234, 0.186999, 0.376565, 0.000000, 0.000000, 0.000000]]
fourier: [[20.647679, 20.826434, 21.754855, 25.397607, 125.232203], [9.293485, 9.847816, 10.151280, 10.608159, 24.852910], [23.106656, 23.725620, 24.053657, 28.538230, 173.500120], [18.300361, 19.426494, 20.538043, 20.635468, 144.026194], [5.530392, 5.821689, 5.963835, 6.141128, 27.713461], [4.528812, 4.794818, 5.071957, 5.176242, 62.782360], [4.136364, 4.270265, 4.287727, 5.095840, 60.493693]]
### 8
mean: [-0.645689, 1.600091, 0.919101, 0.523713, -0.495544, -0.457403, -0.670381]
std: [0.650316, 1.470061, 0.872866, 0.415081, 0.408732, 0.561849, 0.811089]
pca: [[-0.300892, 0.689018, 0.143059, 0.474118, -0.298395, 0.263678, -0.175778, 0.000000, 0.000000, 0.000000], [0.681367, 0.088204, -0.087608, 0.028117, 0.188557, 0.687772, -0.104446, 0.000000, 0.000000, 0.000000], [0.404433, -0.269029, 0.605712, 0.443077, -0.140553, -0.312464, -0.288901, 0.000000, 0.000000, 0.000000], [0.192047, 0.406170, 0.395440, -0.023732, 0.325019, -0.172093, 0.711305, 0.000000, 0.000000, 0.000000], [-0.189285, -0.201106, -0.288716, 0.676277, 0.615336, -0.009867, 0.065457, 0.000000, 0.000000, 0.000000], [-0.260095, -0.488360, 0.261736, 0.153594, -0.328750, 0.510765, 0.482495, 0.000000, 0.000000, 0.000000], [-0.375867, -0.034413, 0.544736, -0.310804, 0.513127, 0.263089, -0.362889, 0.000000, 0.000000, 0.000000]]
fourier: [[10.063031, 10.193737, 10.262095, 12.229597, 58.112026], [22.059911, 22.755705, 23.505892, 27.405607, 144.008199], [13.079122, 13.478854, 13.666790, 16.408562, 82.719103], [6.275976, 6.295604, 6.553598, 7.652261, 47.134140], [6.096451, 6.202498, 6.363669, 7.621329, 44.598935], [8.316468, 8.656521, 9.109369, 10.338926, 41.166262], [12.219443, 12.653102, 13.124767, 15.099310, 60.334287]]
### 10
mean: [-1.002639]
std: [0.930297]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.126609, 14.469777, 15.079469, 17.697791, 90.237486]]
## 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": [[-0.442745, 0.327904, 0.599916, 0.288854, 0.61957], [-0.561608, 0.203399, -0.280705, 0.553328, 0.449929], [-0.252418, -0.063407, -0.244617, -0.404878, 0.205854], [-0.31996, -0.459237, 0.377507, 0.477073, 0.278992], [0.059395, 0.649124, 0.162459, 0.216685, 0.270833], [0.25828, 0.057311, -0.356796, -0.574117, 0.374939], [0.196781, -0.369142, 0.26502, -0.274031, -0.02619]], "network.0.bias": [0.256213, 0.386577, -0.444025, 0.539388, -0.099454, -0.424764, -0.165386], "network.2.weight": [[0.125323, -0.146404, -0.01685, 0.04341, -0.172093, 0.216695, -0.272309], [0.230437, -0.415203, 0.076246, -0.295265, 0.280824, -0.020361, 0.052334], [0.359489, 0.189688, -0.219184, 0.398511, 0.12844, 0.230614, -0.027988], [-0.179978, 0.141257, -0.48886, -0.49603, -0.319662, -0.170898, 0.404554], [0.504188, 0.249238, -0.199795, 0.58145, 0.184442, 0.0804, -0.013328], [0.209615, 0.319747, -0.190103, 0.089165, 0.051962, 0.020034, 0.074809], [0.279893, -0.537762, -0.335114, -0.367848, 0.375139, 0.188519, -0.489028]], "network.2.bias": [-0.200489, -0.163875, 0.258796, -0.070042, 0.328603, 0.441345, 0.245657], "network.4.weight": [[0.276365, -0.363244, -0.493552, 0.293454, -0.142979, -0.315875, -0.006376], [0.318876, -0.308683, -0.170344, -0.160901, 0.029231, -0.031197, -0.314117], [0.299221, 0.300842, -0.120743, -0.165402, -0.062856, 0.193756, -0.103573], [0.123369, -0.240831, 0.319565, 0.07262, 0.410066, 0.232035, -0.344412], [-0.200427, -0.03949, 0.34315, 0.261214, 0.096646, -0.127756, 0.223346], [-0.35796, -0.458132, 0.492721, -0.022915, 0.145841, 0.302491, -0.561453], [-0.437297, 0.002364, -0.005209, 0.128177, -0.009609, -0.077262, 0.529938]], "network.4.bias": [0.09347, 0.040339, 0.295368, 0.177514, -0.10036, 0.172319, 0.079123], "network.6.weight": [[-0.276346, -0.043236, -0.419449, 0.545902, 0.14749, 0.161311, -0.410688], [-0.250857, -0.180224, 0.012592, -0.077724, 0.340422, -0.392994, -0.032582], [0.273139, -0.325562, -0.138129, 0.47326, 0.097947, 0.360314, -0.40089], [0.073643, 0.123059, -0.163619, -0.26685, -0.460254, -0.308007, 0.01956], [0.063439, -0.257445, 0.237377, 0.119835, 0.002347, -0.346103, 0.014242], [-0.17866, 0.1619, 0.182456, -0.141063, 0.185894, -0.107065, -0.256626], [-0.092621, -0.246123, -0.150648, -0.271028, 0.06641, 0.110483, 0.137093]], "network.6.bias": [-0.244631, 0.342389, 0.100763, 0.06461, 0.025566, -0.255932, -0.350782], "network.8.weight": [[-0.129569, 0.490269, -0.24751, -0.030916, 0.226974, -0.487778, -0.242372], [0.47304, -0.410771, 0.475918, -0.000497, -0.391948, -0.008417, -0.379011], [-0.070383, -0.199636, 0.585668, 0.008974, -0.228231, -0.406545, 0.04666], [0.034267, 0.190549, 0.239921, -0.187717, -0.393004, -0.146592, -0.044064], [-0.118685, 0.241752, -0.160767, 0.310591, -0.265154, -0.094849, -0.324699], [-0.247598, 0.053473, -0.134766, -0.058361, 0.172328, -0.113842, -0.140128], [-0.272244, 0.390214, -0.247391, -0.379944, -0.216502, -0.145216, 0.321433]], "network.8.bias": [-0.095766, -0.042254, -0.160065, -0.050653, -0.088568, 0.111672, 0.15585], "network.10.weight": [[0.143449, -0.350085, -0.364687, -0.081067, 0.303149, 0.477314, 0.233899]], "network.10.bias": [-0.020543]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6943795382976532, "train_acc": 0.485, "val_loss": 0.6852914690971375, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6811373829841614, "train_acc": 0.58, "val_loss": 0.6678767204284668, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6590298116207123, "train_acc": 0.58, "val_loss": 0.6400399208068848, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6306802928447723, "train_acc": 0.505, "val_loss": 0.5792816281318665, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5740629732608795, "train_acc": 0.64, "val_loss": 0.4887748062610626, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4949906915426254, "train_acc": 0.89, "val_loss": 0.39380428194999695, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39835022389888763, "train_acc": 0.915, "val_loss": 0.3085319697856903, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3120296597480774, "train_acc": 0.925, "val_loss": 0.23377063870429993, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.22066334635019302, "train_acc": 0.94, "val_loss": 0.1664690375328064, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.15950952470302582, "train_acc": 0.95, "val_loss": 0.1573149859905243, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.1512705534696579, "train_acc": 0.95, "val_loss": 0.16138669848442078, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1484813168644905, "train_acc": 0.945, "val_loss": 0.15917763113975525, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.16599257290363312, "train_acc": 0.945, "val_loss": 0.1601688712835312, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6852914690971375, "final_val_loss": 0.6400399208068848, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5792816281318665, "final_val_loss": 0.1601688712835312, "initial_val_acc": 0.48, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
9,931
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3369, "learning_rate": 0.08144870997447749, "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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]
],
"network.6.bias": [
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"network.8.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.731722, 4.444530, 3.832123, 0.812190, 5.621929, 0.237980, -0.491141, 1.022351]
std: [2.781856, 3.764039, 3.671488, 1.044488, 4.446953, 2.635697, 2.378761, 2.280744]
pca: [[0.341493, 0.257392, 0.075605, 0.019618, 0.209153, -0.176582, -0.150301, 0.844697, 0.000000, 0.000000], [0.475272, -0.042698, 0.144307, -0.569967, -0.245587, -0.520835, 0.248282, -0.182703, 0.000000, 0.000000], [0.444213, -0.357633, -0.023155, 0.665124, -0.028451, -0.345589, -0.269684, -0.197171, 0.000000, 0.000000], [0.074955, 0.232537, 0.211342, 0.448113, -0.098131, 0.040018, 0.825350, 0.049038, 0.000000, 0.000000], [0.558168, -0.201241, 0.290105, -0.138334, 0.286126, 0.670302, 0.015187, -0.115107, 0.000000, 0.000000], [-0.243723, -0.497935, 0.581281, -0.001632, -0.491643, 0.068287, -0.066459, 0.322455, 0.000000, 0.000000], [-0.263193, 0.061532, 0.617504, 0.005188, 0.627435, -0.329760, -0.051825, -0.201251, 0.000000, 0.000000], [0.119715, 0.676556, 0.353408, 0.111315, -0.410179, 0.117505, -0.393066, -0.232585, 0.000000, 0.000000]]
fourier: [[47.301295, 48.406930, 51.658136, 54.469638, 245.854985], [56.835238, 60.691411, 69.954639, 71.286302, 400.007671], [57.046446, 60.133628, 62.141221, 63.602990, 344.891083], [16.568676, 17.765051, 19.919708, 21.120300, 73.097116], [68.659666, 70.919786, 80.829127, 82.899887, 505.973623], [35.966315, 36.097036, 36.880879, 41.653813, 59.303388], [38.949171, 39.764316, 40.884403, 43.157999, 44.202682], [34.111619, 40.965457, 44.492332, 51.754133, 92.011557]]
### 2
mean: [-0.465562, -4.426031, 9.796412, -3.059746, -2.127589, -9.114011, 14.830929, 9.504816]
std: [0.652875, 5.570800, 9.038993, 1.384715, 1.701804, 5.468261, 12.164464, 8.990278]
pca: [[0.021525, 0.199619, -0.135523, 0.221755, -0.245685, -0.237534, 0.818744, 0.324070, 0.000000, 0.000000], [-0.281519, -0.468081, 0.540585, -0.134875, 0.029314, 0.403488, 0.443217, -0.176412, 0.000000, 0.000000], [0.469760, 0.230636, -0.036800, 0.317516, -0.139760, 0.776087, 0.004416, 0.045810, 0.000000, 0.000000], [-0.040408, 0.400259, 0.435817, -0.451297, 0.094218, 0.090256, -0.103255, 0.645655, 0.000000, 0.000000], [-0.071384, 0.196507, 0.455942, 0.683763, 0.493926, -0.183365, -0.056174, -0.011543, 0.000000, 0.000000], [-0.276484, 0.601215, 0.252286, -0.054769, -0.461464, -0.028628, -0.019570, -0.530376, 0.000000, 0.000000], [0.631155, -0.258447, 0.475700, 0.013970, -0.410016, -0.360639, -0.099452, -0.017273, 0.000000, 0.000000], [0.466991, 0.246544, -0.017005, -0.396765, 0.534176, -0.076255, 0.330312, -0.403929, 0.000000, 0.000000]]
fourier: [[11.118690, 11.419414, 11.428123, 12.560850, 41.900626], [90.338850, 94.084320, 95.745182, 98.604863, 398.342769], [139.614836, 146.332902, 163.587230, 167.710365, 881.677095], [25.061665, 27.142007, 28.552248, 28.863223, 275.377120], [28.525975, 28.906129, 30.721438, 36.127329, 191.482971], [87.137518, 91.490745, 103.346387, 103.483137, 820.260964], [193.155930, 194.327059, 225.939503, 229.692414, 1334.783574], [141.253021, 141.412826, 161.912693, 162.627605, 855.433447]]
### 4
mean: [19.271183, -3.937476, 5.855692, -18.107492, -3.437588, -5.425776, 15.694436, -3.423793]
std: [16.461430, 3.957998, 4.905334, 15.310387, 3.856185, 4.858654, 13.771377, 3.335597]
pca: [[0.588343, 0.060244, 0.093756, 0.598464, -0.245621, 0.171760, 0.367155, -0.242158, 0.000000, 0.000000], [-0.140515, -0.135952, 0.648210, -0.159855, -0.439675, -0.499960, 0.269006, -0.020102, 0.000000, 0.000000], [0.174750, 0.298351, -0.344936, -0.338650, 0.200191, -0.462743, 0.297983, -0.551165, 0.000000, 0.000000], [-0.547056, 0.253752, -0.426318, 0.170924, -0.396019, 0.077266, 0.480892, 0.176975, 0.000000, 0.000000], [-0.135875, 0.562794, 0.375203, 0.292610, 0.566922, -0.139592, 0.169968, 0.261968, 0.000000, 0.000000], [-0.172605, -0.500449, 0.136733, -0.151827, 0.423971, 0.360260, 0.588670, -0.148121, 0.000000, 0.000000], [0.492168, 0.160104, -0.048192, -0.502817, -0.086248, 0.128109, 0.297576, 0.603812, 0.000000, 0.000000], [-0.117544, 0.481316, 0.329409, -0.333004, -0.202133, 0.578578, -0.093864, -0.388196, 0.000000, 0.000000]]
fourier: [[261.247541, 263.661139, 303.947794, 306.653858, 1734.406523], [62.949916, 63.839118, 69.410847, 77.136745, 354.372835], [76.671491, 80.202919, 88.171548, 93.756191, 527.012437], [242.195990, 244.456776, 278.995768, 284.285185, 1629.674250], [62.567658, 63.396566, 68.383738, 69.286367, 309.382937], [76.008694, 79.668173, 87.995055, 94.714340, 488.319847], [218.329335, 220.655118, 253.295487, 255.875469, 1412.499300], [54.448683, 55.226747, 59.598589, 60.111395, 308.141392]]
### 6
mean: [-13.354251, 10.676757, -4.565988, -7.997108, 8.302379, -28.140034, 5.183156, -3.392737]
std: [11.593129, 9.595207, 4.373461, 6.667636, 7.484949, 24.026733, 4.664191, 3.237111]
pca: [[0.375231, -0.118170, 0.152726, -0.126669, -0.031245, -0.298280, -0.452714, 0.714821, 0.000000, 0.000000], [-0.310055, 0.526122, 0.142719, 0.501552, 0.176275, -0.296208, -0.473991, -0.107970, 0.000000, 0.000000], [0.141387, -0.199937, -0.057077, 0.687896, -0.424420, 0.499762, -0.107707, 0.148597, 0.000000, 0.000000], [0.215679, 0.221420, -0.410399, -0.028377, 0.660515, 0.503683, -0.151940, 0.148864, 0.000000, 0.000000], [-0.241804, 0.438952, 0.310186, 0.045571, -0.000993, 0.168083, 0.553595, 0.561997, 0.000000, 0.000000], [0.777540, 0.479114, 0.078648, 0.076682, -0.153864, -0.132535, 0.212721, -0.259473, 0.000000, 0.000000], [-0.150276, 0.420522, -0.075552, -0.490446, -0.518573, 0.364645, -0.388503, -0.038922, 0.000000, 0.000000], [0.104591, -0.145468, 0.822503, -0.099499, 0.242788, 0.375564, -0.181779, -0.220115, 0.000000, 0.000000]]
fourier: [[184.698069, 184.865015, 213.196849, 217.617268, 1201.882495], [152.056665, 153.553388, 174.831911, 183.472484, 960.908102], [69.541870, 69.792939, 80.178303, 83.506549, 410.938874], [106.669558, 106.859727, 122.495839, 123.249401, 719.739716], [118.771544, 119.940056, 136.210651, 143.629528, 747.214074], [382.727533, 384.171580, 444.185209, 444.473911, 2532.603083], [73.777976, 74.101568, 84.166838, 90.912441, 466.483971], [50.658002, 50.744194, 58.844855, 61.865257, 305.346313]]
### 8
mean: [-8.796366, -5.922447, 1.479886, -7.443703, 9.960156, -2.337290, -0.488309, 3.536944]
std: [7.712654, 4.647231, 1.771491, 6.645984, 8.859756, 2.435850, 0.257367, 3.380310]
pca: [[-0.515221, 0.165462, 0.033922, 0.565941, 0.286076, 0.441724, -0.258930, 0.204267, 0.000000, 0.000000], [-0.310030, -0.497572, 0.021397, -0.064932, 0.645126, -0.399363, -0.025214, -0.274436, 0.000000, 0.000000], [0.118055, -0.248227, -0.263893, 0.538053, -0.021379, -0.036616, 0.743499, 0.103526, 0.000000, 0.000000], [-0.443896, -0.275771, 0.260957, -0.390992, -0.170476, 0.035430, 0.262003, 0.637942, 0.000000, 0.000000], [0.591880, 0.009509, 0.489609, 0.119563, 0.452472, -0.027768, -0.052178, 0.432841, 0.000000, 0.000000], [-0.161649, 0.567675, 0.268539, -0.256862, 0.321704, 0.154298, 0.552785, -0.283992, 0.000000, 0.000000], [-0.011764, -0.371569, 0.678058, 0.201579, -0.324904, 0.249701, 0.036593, -0.438349, 0.000000, 0.000000], [0.225516, -0.356328, -0.298431, -0.334980, 0.242212, 0.745562, 0.035367, -0.071552, 0.000000, 0.000000]]
fourier: [[123.478135, 123.995193, 142.668293, 145.717396, 791.672970], [74.427360, 74.714030, 85.153181, 86.835906, 533.020185], [28.428116, 28.540253, 32.497698, 34.238351, 133.189720], [106.501224, 107.022806, 123.730663, 123.799311, 669.933153], [142.019309, 142.026716, 163.774756, 166.740877, 896.414024], [39.022107, 39.062159, 44.135023, 47.777547, 210.356105], [4.038509, 4.400555, 4.458847, 4.562430, 43.947788], [54.013646, 54.526576, 62.234154, 65.008162, 318.324977]]
### 10
mean: [-4.750327]
std: [4.716825]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.572966, 75.684789, 87.040370, 89.060016, 427.529378]]
## 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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0.021013,
0.275374
],
[
-0.589477,
-0.096296,
-0.341587,
0.372461,
0.236545,
-0.437993,
-0.233711,
-0.015094
],
[
-0.125826,
0.063022,
-0.553815,
0.455158,
0.126017,
-0.055804,
0.394569,
-0.156336
]
],
"network.8.bias": [
-0.007872,
-0.499578,
-0.446138,
0.23246,
-0.214444,
0.233904,
-0.163944,
-0.237029
],
"network.10.weight": [
[
0.163631,
-0.283368,
-0.038684,
-0.082464,
-0.528965,
0.214421,
0.130956,
0.011478
]
],
"network.10.bias": [
0.558273
]
}
## Activation Signature
### 0
mean: [2.731722, 4.444530, 3.832123, 0.812190, 5.621929, 0.237980, -0.491141, 1.022351]
std: [2.781856, 3.764039, 3.671488, 1.044488, 4.446953, 2.635697, 2.378761, 2.280744]
pca: [[0.341493, 0.257392, 0.075605, 0.019618, 0.209153, -0.176582, -0.150301, 0.844697, 0.000000, 0.000000], [0.475272, -0.042698, 0.144307, -0.569967, -0.245587, -0.520835, 0.248282, -0.182703, 0.000000, 0.000000], [0.444213, -0.357633, -0.023155, 0.665124, -0.028451, -0.345589, -0.269684, -0.197171, 0.000000, 0.000000], [0.074955, 0.232537, 0.211342, 0.448113, -0.098131, 0.040018, 0.825350, 0.049038, 0.000000, 0.000000], [0.558168, -0.201241, 0.290105, -0.138334, 0.286126, 0.670302, 0.015187, -0.115107, 0.000000, 0.000000], [-0.243723, -0.497935, 0.581281, -0.001632, -0.491643, 0.068287, -0.066459, 0.322455, 0.000000, 0.000000], [-0.263193, 0.061532, 0.617504, 0.005188, 0.627435, -0.329760, -0.051825, -0.201251, 0.000000, 0.000000], [0.119715, 0.676556, 0.353408, 0.111315, -0.410179, 0.117505, -0.393066, -0.232585, 0.000000, 0.000000]]
fourier: [[47.301295, 48.406930, 51.658136, 54.469638, 245.854985], [56.835238, 60.691411, 69.954639, 71.286302, 400.007671], [57.046446, 60.133628, 62.141221, 63.602990, 344.891083], [16.568676, 17.765051, 19.919708, 21.120300, 73.097116], [68.659666, 70.919786, 80.829127, 82.899887, 505.973623], [35.966315, 36.097036, 36.880879, 41.653813, 59.303388], [38.949171, 39.764316, 40.884403, 43.157999, 44.202682], [34.111619, 40.965457, 44.492332, 51.754133, 92.011557]]
### 2
mean: [-0.465562, -4.426031, 9.796412, -3.059746, -2.127589, -9.114011, 14.830929, 9.504816]
std: [0.652875, 5.570800, 9.038993, 1.384715, 1.701804, 5.468261, 12.164464, 8.990278]
pca: [[0.021525, 0.199619, -0.135523, 0.221755, -0.245685, -0.237534, 0.818744, 0.324070, 0.000000, 0.000000], [-0.281519, -0.468081, 0.540585, -0.134875, 0.029314, 0.403488, 0.443217, -0.176412, 0.000000, 0.000000], [0.469760, 0.230636, -0.036800, 0.317516, -0.139760, 0.776087, 0.004416, 0.045810, 0.000000, 0.000000], [-0.040408, 0.400259, 0.435817, -0.451297, 0.094218, 0.090256, -0.103255, 0.645655, 0.000000, 0.000000], [-0.071384, 0.196507, 0.455942, 0.683763, 0.493926, -0.183365, -0.056174, -0.011543, 0.000000, 0.000000], [-0.276484, 0.601215, 0.252286, -0.054769, -0.461464, -0.028628, -0.019570, -0.530376, 0.000000, 0.000000], [0.631155, -0.258447, 0.475700, 0.013970, -0.410016, -0.360639, -0.099452, -0.017273, 0.000000, 0.000000], [0.466991, 0.246544, -0.017005, -0.396765, 0.534176, -0.076255, 0.330312, -0.403929, 0.000000, 0.000000]]
fourier: [[11.118690, 11.419414, 11.428123, 12.560850, 41.900626], [90.338850, 94.084320, 95.745182, 98.604863, 398.342769], [139.614836, 146.332902, 163.587230, 167.710365, 881.677095], [25.061665, 27.142007, 28.552248, 28.863223, 275.377120], [28.525975, 28.906129, 30.721438, 36.127329, 191.482971], [87.137518, 91.490745, 103.346387, 103.483137, 820.260964], [193.155930, 194.327059, 225.939503, 229.692414, 1334.783574], [141.253021, 141.412826, 161.912693, 162.627605, 855.433447]]
### 4
mean: [19.271183, -3.937476, 5.855692, -18.107492, -3.437588, -5.425776, 15.694436, -3.423793]
std: [16.461430, 3.957998, 4.905334, 15.310387, 3.856185, 4.858654, 13.771377, 3.335597]
pca: [[0.588343, 0.060244, 0.093756, 0.598464, -0.245621, 0.171760, 0.367155, -0.242158, 0.000000, 0.000000], [-0.140515, -0.135952, 0.648210, -0.159855, -0.439675, -0.499960, 0.269006, -0.020102, 0.000000, 0.000000], [0.174750, 0.298351, -0.344936, -0.338650, 0.200191, -0.462743, 0.297983, -0.551165, 0.000000, 0.000000], [-0.547056, 0.253752, -0.426318, 0.170924, -0.396019, 0.077266, 0.480892, 0.176975, 0.000000, 0.000000], [-0.135875, 0.562794, 0.375203, 0.292610, 0.566922, -0.139592, 0.169968, 0.261968, 0.000000, 0.000000], [-0.172605, -0.500449, 0.136733, -0.151827, 0.423971, 0.360260, 0.588670, -0.148121, 0.000000, 0.000000], [0.492168, 0.160104, -0.048192, -0.502817, -0.086248, 0.128109, 0.297576, 0.603812, 0.000000, 0.000000], [-0.117544, 0.481316, 0.329409, -0.333004, -0.202133, 0.578578, -0.093864, -0.388196, 0.000000, 0.000000]]
fourier: [[261.247541, 263.661139, 303.947794, 306.653858, 1734.406523], [62.949916, 63.839118, 69.410847, 77.136745, 354.372835], [76.671491, 80.202919, 88.171548, 93.756191, 527.012437], [242.195990, 244.456776, 278.995768, 284.285185, 1629.674250], [62.567658, 63.396566, 68.383738, 69.286367, 309.382937], [76.008694, 79.668173, 87.995055, 94.714340, 488.319847], [218.329335, 220.655118, 253.295487, 255.875469, 1412.499300], [54.448683, 55.226747, 59.598589, 60.111395, 308.141392]]
### 6
mean: [-13.354251, 10.676757, -4.565988, -7.997108, 8.302379, -28.140034, 5.183156, -3.392737]
std: [11.593129, 9.595207, 4.373461, 6.667636, 7.484949, 24.026733, 4.664191, 3.237111]
pca: [[0.375231, -0.118170, 0.152726, -0.126669, -0.031245, -0.298280, -0.452714, 0.714821, 0.000000, 0.000000], [-0.310055, 0.526122, 0.142719, 0.501552, 0.176275, -0.296208, -0.473991, -0.107970, 0.000000, 0.000000], [0.141387, -0.199937, -0.057077, 0.687896, -0.424420, 0.499762, -0.107707, 0.148597, 0.000000, 0.000000], [0.215679, 0.221420, -0.410399, -0.028377, 0.660515, 0.503683, -0.151940, 0.148864, 0.000000, 0.000000], [-0.241804, 0.438952, 0.310186, 0.045571, -0.000993, 0.168083, 0.553595, 0.561997, 0.000000, 0.000000], [0.777540, 0.479114, 0.078648, 0.076682, -0.153864, -0.132535, 0.212721, -0.259473, 0.000000, 0.000000], [-0.150276, 0.420522, -0.075552, -0.490446, -0.518573, 0.364645, -0.388503, -0.038922, 0.000000, 0.000000], [0.104591, -0.145468, 0.822503, -0.099499, 0.242788, 0.375564, -0.181779, -0.220115, 0.000000, 0.000000]]
fourier: [[184.698069, 184.865015, 213.196849, 217.617268, 1201.882495], [152.056665, 153.553388, 174.831911, 183.472484, 960.908102], [69.541870, 69.792939, 80.178303, 83.506549, 410.938874], [106.669558, 106.859727, 122.495839, 123.249401, 719.739716], [118.771544, 119.940056, 136.210651, 143.629528, 747.214074], [382.727533, 384.171580, 444.185209, 444.473911, 2532.603083], [73.777976, 74.101568, 84.166838, 90.912441, 466.483971], [50.658002, 50.744194, 58.844855, 61.865257, 305.346313]]
### 8
mean: [-8.796366, -5.922447, 1.479886, -7.443703, 9.960156, -2.337290, -0.488309, 3.536944]
std: [7.712654, 4.647231, 1.771491, 6.645984, 8.859756, 2.435850, 0.257367, 3.380310]
pca: [[-0.515221, 0.165462, 0.033922, 0.565941, 0.286076, 0.441724, -0.258930, 0.204267, 0.000000, 0.000000], [-0.310030, -0.497572, 0.021397, -0.064932, 0.645126, -0.399363, -0.025214, -0.274436, 0.000000, 0.000000], [0.118055, -0.248227, -0.263893, 0.538053, -0.021379, -0.036616, 0.743499, 0.103526, 0.000000, 0.000000], [-0.443896, -0.275771, 0.260957, -0.390992, -0.170476, 0.035430, 0.262003, 0.637942, 0.000000, 0.000000], [0.591880, 0.009509, 0.489609, 0.119563, 0.452472, -0.027768, -0.052178, 0.432841, 0.000000, 0.000000], [-0.161649, 0.567675, 0.268539, -0.256862, 0.321704, 0.154298, 0.552785, -0.283992, 0.000000, 0.000000], [-0.011764, -0.371569, 0.678058, 0.201579, -0.324904, 0.249701, 0.036593, -0.438349, 0.000000, 0.000000], [0.225516, -0.356328, -0.298431, -0.334980, 0.242212, 0.745562, 0.035367, -0.071552, 0.000000, 0.000000]]
fourier: [[123.478135, 123.995193, 142.668293, 145.717396, 791.672970], [74.427360, 74.714030, 85.153181, 86.835906, 533.020185], [28.428116, 28.540253, 32.497698, 34.238351, 133.189720], [106.501224, 107.022806, 123.730663, 123.799311, 669.933153], [142.019309, 142.026716, 163.774756, 166.740877, 896.414024], [39.022107, 39.062159, 44.135023, 47.777547, 210.356105], [4.038509, 4.400555, 4.458847, 4.562430, 43.947788], [54.013646, 54.526576, 62.234154, 65.008162, 318.324977]]
### 10
mean: [-4.750327]
std: [4.716825]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[75.572966, 75.684789, 87.040370, 89.060016, 427.529378]]
## 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": 0.7007377445697784, "train_acc": 0.485, "val_loss": 0.6764910817146301, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805773377418518, "train_acc": 0.555, "val_loss": 0.587618887424469, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5911392867565155, "train_acc": 0.58, "val_loss": 0.5282769799232483, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5201111286878586, "train_acc": 0.705, "val_loss": 0.2888467311859131, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3319499343633652, "train_acc": 0.845, "val_loss": 0.3004767894744873, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36222201585769653, "train_acc": 0.805, "val_loss": 0.4010121524333954, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.41121362149715424, "train_acc": 0.835, "val_loss": 0.1864890307188034, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2493712082505226, "train_acc": 0.9, "val_loss": 0.23109005391597748, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.28769490122795105, "train_acc": 0.92, "val_loss": 0.20445354282855988, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.22934174537658691, "train_acc": 0.93, "val_loss": 0.19414623081684113, "val_acc": 0.92}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6764910817146301, "final_val_loss": 0.587618887424469, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5282769799232483, "final_val_loss": 0.19414623081684113, "initial_val_acc": 0.78, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
9,932
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7409, "learning_rate": 0.052175492321885515, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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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: [-0.234028, -2.212091, -1.293821, -0.016839, 0.414176, 1.919821, -2.939950]
std: [1.131840, 1.351924, 1.483681, 1.749877, 1.379494, 2.147713, 2.168775]
pca: [[0.206461, -0.301652, -0.236008, 0.507134, -0.005885, 0.499056, -0.551728, 0.000000, 0.000000, 0.000000], [0.433100, 0.113681, 0.092538, 0.652268, -0.327086, -0.425187, 0.278773, 0.000000, 0.000000, 0.000000], [0.117109, 0.563294, 0.194686, 0.010809, -0.228375, 0.699969, 0.298084, 0.000000, 0.000000, 0.000000], [-0.081319, -0.052720, 0.763638, 0.282994, 0.569492, 0.040915, -0.037206, 0.000000, 0.000000, 0.000000], [0.203964, -0.429661, -0.300052, 0.041569, 0.399000, 0.233162, 0.684445, 0.000000, 0.000000, 0.000000], [-0.535137, 0.458948, -0.434297, 0.432911, 0.342722, -0.078511, 0.057847, 0.000000, 0.000000, 0.000000], [0.649229, 0.425160, -0.189858, -0.219130, 0.489739, -0.134164, -0.236290, 0.000000, 0.000000, 0.000000]]
fourier: [[17.358937, 17.402403, 17.740681, 21.062529, 21.259829], [20.363242, 21.500340, 24.219473, 27.251847, 199.088198], [22.201774, 22.765421, 22.986866, 23.749103, 116.443857], [29.294035, 30.340520, 30.900505, 31.294776, 32.738133], [20.405057, 20.841394, 21.400385, 27.364801, 37.275864], [32.670431, 33.043506, 43.073388, 45.869100, 172.783877], [31.652998, 37.247265, 43.469402, 46.253007, 264.595546]]
### 2
mean: [0.807974, 1.173132, -0.248458, 0.925213, -0.079860, 1.273399, 0.243193]
std: [0.811575, 0.997387, 0.334988, 0.797117, 0.990725, 1.166064, 0.578662]
pca: [[0.418449, -0.042205, -0.047880, -0.398816, -0.164574, 0.770685, -0.201825, 0.000000, 0.000000, 0.000000], [0.499012, 0.228066, 0.077920, 0.660510, -0.114051, 0.183797, 0.458082, 0.000000, 0.000000, 0.000000], [0.064390, -0.142814, -0.544503, 0.167489, 0.787800, 0.172766, -0.021099, 0.000000, 0.000000, 0.000000], [0.403383, -0.144125, -0.004779, -0.561822, 0.145122, -0.327053, 0.610590, 0.000000, 0.000000, 0.000000], [-0.007638, 0.948752, -0.048731, -0.233460, 0.195912, -0.040107, -0.054250, 0.000000, 0.000000, 0.000000], [0.597590, -0.053376, 0.322162, 0.076884, 0.214408, -0.375292, -0.586108, 0.000000, 0.000000, 0.000000], [-0.227708, -0.045364, 0.767442, -0.023707, 0.483598, 0.304958, 0.172326, 0.000000, 0.000000, 0.000000]]
fourier: [[13.094895, 13.313370, 14.776403, 14.894774, 72.717616], [16.651585, 16.951463, 19.066514, 19.350452, 105.581877], [5.115957, 5.230184, 5.310972, 5.853095, 22.361176], [11.302997, 14.121656, 14.961346, 15.012762, 83.269154], [15.231941, 15.373059, 15.811494, 15.932963, 18.379385], [17.719755, 19.702846, 22.372034, 22.390253, 114.605863], [7.707892, 8.518405, 8.972044, 12.229891, 21.887401]]
### 4
mean: [1.027279, 0.159203, 1.630553, 2.499943, -0.600736, 0.860141, 1.483442]
std: [1.015570, 0.367892, 1.244358, 2.006526, 0.308951, 0.917673, 1.296783]
pca: [[0.328202, 0.540529, 0.622993, -0.296503, -0.237996, 0.001202, 0.259680, 0.000000, 0.000000, 0.000000], [0.120744, -0.018703, 0.131404, -0.164670, 0.765107, 0.590466, 0.081542, 0.000000, 0.000000, 0.000000], [0.408220, -0.252561, 0.468425, 0.676928, 0.046349, -0.025773, -0.298502, 0.000000, 0.000000, 0.000000], [0.659703, -0.228358, -0.328230, -0.341264, -0.339649, 0.313599, -0.273393, 0.000000, 0.000000, 0.000000], [-0.101120, 0.059599, -0.140031, 0.447892, -0.385844, 0.610293, 0.494646, 0.000000, 0.000000, 0.000000], [0.290869, 0.711006, -0.467059, 0.329143, 0.223281, -0.110369, -0.146118, 0.000000, 0.000000, 0.000000], [0.425468, -0.287163, -0.172346, 0.036539, 0.204277, -0.409514, 0.704305, 0.000000, 0.000000, 0.000000]]
fourier: [[15.693031, 16.990790, 18.625656, 18.996427, 92.455107], [5.905658, 6.101795, 6.164201, 7.173923, 14.328311], [20.061427, 20.240502, 22.435222, 24.234697, 146.749822], [31.092001, 34.267547, 35.481472, 39.232719, 224.994864], [4.871270, 5.022673, 5.108803, 6.118256, 54.066255], [14.174738, 15.727556, 16.586479, 17.704462, 77.412716], [20.724775, 21.556854, 23.253817, 25.400502, 133.509809]]
### 6
mean: [-0.459119, 1.999064, 3.326560, -2.553116, 2.300335, 0.486323, -1.008737]
std: [0.360610, 1.740947, 2.806532, 2.041152, 1.918023, 0.431377, 0.641145]
pca: [[-0.077044, 0.644046, 0.125577, -0.368411, 0.150045, 0.180647, 0.610431, 0.000000, 0.000000, 0.000000], [0.394799, 0.054588, 0.277036, 0.679569, -0.328883, 0.274676, 0.344936, 0.000000, 0.000000, 0.000000], [0.636501, 0.089719, 0.288196, -0.477886, -0.397106, -0.293541, -0.177551, 0.000000, 0.000000, 0.000000], [-0.462799, 0.181262, 0.636138, -0.030820, -0.242828, 0.317209, -0.433305, 0.000000, 0.000000, 0.000000], [0.434963, 0.115287, 0.224532, 0.075211, 0.754202, 0.254664, -0.328284, 0.000000, 0.000000, 0.000000], [0.094508, -0.592190, 0.012114, -0.409202, -0.056716, 0.652924, 0.207991, 0.000000, 0.000000, 0.000000], [-0.144072, -0.421117, 0.607611, 0.005595, 0.283950, -0.462567, 0.371597, 0.000000, 0.000000, 0.000000]]
fourier: [[5.870901, 6.541979, 6.964593, 7.264217, 41.320744], [26.377501, 29.390878, 30.118756, 33.859915, 179.915776], [41.958637, 47.281151, 48.205367, 54.737191, 299.390386], [30.879505, 35.133851, 35.288898, 39.949812, 229.780476], [28.710387, 32.372052, 32.950118, 37.284419, 207.030135], [6.986928, 7.738902, 8.171175, 8.582100, 43.769100], [9.998082, 10.017611, 11.866369, 12.455496, 90.786336]]
### 8
mean: [3.762781, 3.848788, -0.642056, 0.180466, 1.492845, 4.105752, -1.291275]
std: [3.312467, 3.379029, 0.412078, 0.145406, 1.266670, 3.531111, 0.947116]
pca: [[0.540564, -0.361230, -0.104479, -0.075827, -0.431470, -0.480179, -0.379340, 0.000000, 0.000000, 0.000000], [0.551433, 0.189188, 0.302614, -0.252323, 0.682486, -0.004626, -0.197684, 0.000000, 0.000000, 0.000000], [-0.067174, -0.369705, 0.369752, -0.116815, 0.137330, -0.504176, 0.659841, 0.000000, 0.000000, 0.000000], [-0.023442, -0.416774, 0.586051, 0.586454, 0.016599, 0.261040, -0.264478, 0.000000, 0.000000, 0.000000], [0.206645, 0.623056, 0.082901, 0.614689, -0.105139, -0.383926, 0.161028, 0.000000, 0.000000, 0.000000], [0.576254, -0.027355, 0.017382, -0.015992, -0.318673, 0.547315, 0.515286, 0.000000, 0.000000, 0.000000], [-0.154528, 0.366594, 0.640439, -0.441486, -0.465087, 0.010904, -0.142242, 0.000000, 0.000000, 0.000000]]
fourier: [[49.837071, 55.896435, 56.716538, 64.615062, 338.650266], [50.709346, 57.332523, 57.620588, 66.005643, 346.390948], [6.260692, 6.891285, 7.105004, 8.104705, 57.785026], [2.362763, 2.369822, 2.551870, 2.923629, 16.241965], [19.080651, 21.359599, 21.772822, 24.817308, 134.356031], [53.071140, 59.787612, 60.342622, 68.935982, 369.517656], [14.380019, 15.820257, 16.352648, 18.436278, 116.214732]]
### 10
mean: [-4.337335, -3.657859, 1.758816, 5.215038, 3.995748, 5.126158, 2.504419]
std: [3.710171, 2.799651, 1.673007, 4.280516, 3.330269, 4.466420, 2.165346]
pca: [[-0.418879, 0.106259, 0.308133, 0.719967, 0.131241, -0.426781, -0.024193, 0.000000, 0.000000, 0.000000], [-0.316080, 0.410003, 0.226552, 0.006955, 0.341893, 0.707065, -0.252556, 0.000000, 0.000000, 0.000000], [0.188876, 0.756872, -0.054490, -0.302355, 0.171537, -0.483094, -0.185144, 0.000000, 0.000000, 0.000000], [0.483271, -0.374003, 0.235625, 0.050781, 0.665640, -0.087513, -0.343130, 0.000000, 0.000000, 0.000000], [0.375988, 0.222577, 0.379752, 0.104535, 0.132634, 0.133117, 0.786538, 0.000000, 0.000000, 0.000000], [0.504260, 0.239631, -0.423538, 0.611924, -0.196194, 0.241886, -0.193554, 0.000000, 0.000000, 0.000000], [0.244467, 0.030150, 0.686764, -0.047157, -0.580774, 0.025498, -0.357085, 0.000000, 0.000000, 0.000000]]
fourier: [[55.952308, 62.658068, 63.250772, 72.479340, 390.360134], [42.230894, 47.257303, 47.697584, 54.638183, 329.207308], [25.229154, 28.252307, 28.557837, 32.824327, 158.293454], [64.593986, 72.183375, 72.948523, 83.585181, 469.353438], [50.268951, 56.137266, 56.793399, 65.124206, 359.617280], [67.387458, 75.432516, 76.079079, 87.329585, 461.354257], [32.709835, 36.453708, 36.954368, 42.314649, 225.397692]]
### 12
mean: [-3.733277]
std: [3.325380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.219341, 56.072161, 56.638951, 65.022135, 335.994922]]
## 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: 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.2.bias": [
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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: [-0.234028, -2.212091, -1.293821, -0.016839, 0.414176, 1.919821, -2.939950]
std: [1.131840, 1.351924, 1.483681, 1.749877, 1.379494, 2.147713, 2.168775]
pca: [[0.206461, -0.301652, -0.236008, 0.507134, -0.005885, 0.499056, -0.551728, 0.000000, 0.000000, 0.000000], [0.433100, 0.113681, 0.092538, 0.652268, -0.327086, -0.425187, 0.278773, 0.000000, 0.000000, 0.000000], [0.117109, 0.563294, 0.194686, 0.010809, -0.228375, 0.699969, 0.298084, 0.000000, 0.000000, 0.000000], [-0.081319, -0.052720, 0.763638, 0.282994, 0.569492, 0.040915, -0.037206, 0.000000, 0.000000, 0.000000], [0.203964, -0.429661, -0.300052, 0.041569, 0.399000, 0.233162, 0.684445, 0.000000, 0.000000, 0.000000], [-0.535137, 0.458948, -0.434297, 0.432911, 0.342722, -0.078511, 0.057847, 0.000000, 0.000000, 0.000000], [0.649229, 0.425160, -0.189858, -0.219130, 0.489739, -0.134164, -0.236290, 0.000000, 0.000000, 0.000000]]
fourier: [[17.358937, 17.402403, 17.740681, 21.062529, 21.259829], [20.363242, 21.500340, 24.219473, 27.251847, 199.088198], [22.201774, 22.765421, 22.986866, 23.749103, 116.443857], [29.294035, 30.340520, 30.900505, 31.294776, 32.738133], [20.405057, 20.841394, 21.400385, 27.364801, 37.275864], [32.670431, 33.043506, 43.073388, 45.869100, 172.783877], [31.652998, 37.247265, 43.469402, 46.253007, 264.595546]]
### 2
mean: [0.807974, 1.173132, -0.248458, 0.925213, -0.079860, 1.273399, 0.243193]
std: [0.811575, 0.997387, 0.334988, 0.797117, 0.990725, 1.166064, 0.578662]
pca: [[0.418449, -0.042205, -0.047880, -0.398816, -0.164574, 0.770685, -0.201825, 0.000000, 0.000000, 0.000000], [0.499012, 0.228066, 0.077920, 0.660510, -0.114051, 0.183797, 0.458082, 0.000000, 0.000000, 0.000000], [0.064390, -0.142814, -0.544503, 0.167489, 0.787800, 0.172766, -0.021099, 0.000000, 0.000000, 0.000000], [0.403383, -0.144125, -0.004779, -0.561822, 0.145122, -0.327053, 0.610590, 0.000000, 0.000000, 0.000000], [-0.007638, 0.948752, -0.048731, -0.233460, 0.195912, -0.040107, -0.054250, 0.000000, 0.000000, 0.000000], [0.597590, -0.053376, 0.322162, 0.076884, 0.214408, -0.375292, -0.586108, 0.000000, 0.000000, 0.000000], [-0.227708, -0.045364, 0.767442, -0.023707, 0.483598, 0.304958, 0.172326, 0.000000, 0.000000, 0.000000]]
fourier: [[13.094895, 13.313370, 14.776403, 14.894774, 72.717616], [16.651585, 16.951463, 19.066514, 19.350452, 105.581877], [5.115957, 5.230184, 5.310972, 5.853095, 22.361176], [11.302997, 14.121656, 14.961346, 15.012762, 83.269154], [15.231941, 15.373059, 15.811494, 15.932963, 18.379385], [17.719755, 19.702846, 22.372034, 22.390253, 114.605863], [7.707892, 8.518405, 8.972044, 12.229891, 21.887401]]
### 4
mean: [1.027279, 0.159203, 1.630553, 2.499943, -0.600736, 0.860141, 1.483442]
std: [1.015570, 0.367892, 1.244358, 2.006526, 0.308951, 0.917673, 1.296783]
pca: [[0.328202, 0.540529, 0.622993, -0.296503, -0.237996, 0.001202, 0.259680, 0.000000, 0.000000, 0.000000], [0.120744, -0.018703, 0.131404, -0.164670, 0.765107, 0.590466, 0.081542, 0.000000, 0.000000, 0.000000], [0.408220, -0.252561, 0.468425, 0.676928, 0.046349, -0.025773, -0.298502, 0.000000, 0.000000, 0.000000], [0.659703, -0.228358, -0.328230, -0.341264, -0.339649, 0.313599, -0.273393, 0.000000, 0.000000, 0.000000], [-0.101120, 0.059599, -0.140031, 0.447892, -0.385844, 0.610293, 0.494646, 0.000000, 0.000000, 0.000000], [0.290869, 0.711006, -0.467059, 0.329143, 0.223281, -0.110369, -0.146118, 0.000000, 0.000000, 0.000000], [0.425468, -0.287163, -0.172346, 0.036539, 0.204277, -0.409514, 0.704305, 0.000000, 0.000000, 0.000000]]
fourier: [[15.693031, 16.990790, 18.625656, 18.996427, 92.455107], [5.905658, 6.101795, 6.164201, 7.173923, 14.328311], [20.061427, 20.240502, 22.435222, 24.234697, 146.749822], [31.092001, 34.267547, 35.481472, 39.232719, 224.994864], [4.871270, 5.022673, 5.108803, 6.118256, 54.066255], [14.174738, 15.727556, 16.586479, 17.704462, 77.412716], [20.724775, 21.556854, 23.253817, 25.400502, 133.509809]]
### 6
mean: [-0.459119, 1.999064, 3.326560, -2.553116, 2.300335, 0.486323, -1.008737]
std: [0.360610, 1.740947, 2.806532, 2.041152, 1.918023, 0.431377, 0.641145]
pca: [[-0.077044, 0.644046, 0.125577, -0.368411, 0.150045, 0.180647, 0.610431, 0.000000, 0.000000, 0.000000], [0.394799, 0.054588, 0.277036, 0.679569, -0.328883, 0.274676, 0.344936, 0.000000, 0.000000, 0.000000], [0.636501, 0.089719, 0.288196, -0.477886, -0.397106, -0.293541, -0.177551, 0.000000, 0.000000, 0.000000], [-0.462799, 0.181262, 0.636138, -0.030820, -0.242828, 0.317209, -0.433305, 0.000000, 0.000000, 0.000000], [0.434963, 0.115287, 0.224532, 0.075211, 0.754202, 0.254664, -0.328284, 0.000000, 0.000000, 0.000000], [0.094508, -0.592190, 0.012114, -0.409202, -0.056716, 0.652924, 0.207991, 0.000000, 0.000000, 0.000000], [-0.144072, -0.421117, 0.607611, 0.005595, 0.283950, -0.462567, 0.371597, 0.000000, 0.000000, 0.000000]]
fourier: [[5.870901, 6.541979, 6.964593, 7.264217, 41.320744], [26.377501, 29.390878, 30.118756, 33.859915, 179.915776], [41.958637, 47.281151, 48.205367, 54.737191, 299.390386], [30.879505, 35.133851, 35.288898, 39.949812, 229.780476], [28.710387, 32.372052, 32.950118, 37.284419, 207.030135], [6.986928, 7.738902, 8.171175, 8.582100, 43.769100], [9.998082, 10.017611, 11.866369, 12.455496, 90.786336]]
### 8
mean: [3.762781, 3.848788, -0.642056, 0.180466, 1.492845, 4.105752, -1.291275]
std: [3.312467, 3.379029, 0.412078, 0.145406, 1.266670, 3.531111, 0.947116]
pca: [[0.540564, -0.361230, -0.104479, -0.075827, -0.431470, -0.480179, -0.379340, 0.000000, 0.000000, 0.000000], [0.551433, 0.189188, 0.302614, -0.252323, 0.682486, -0.004626, -0.197684, 0.000000, 0.000000, 0.000000], [-0.067174, -0.369705, 0.369752, -0.116815, 0.137330, -0.504176, 0.659841, 0.000000, 0.000000, 0.000000], [-0.023442, -0.416774, 0.586051, 0.586454, 0.016599, 0.261040, -0.264478, 0.000000, 0.000000, 0.000000], [0.206645, 0.623056, 0.082901, 0.614689, -0.105139, -0.383926, 0.161028, 0.000000, 0.000000, 0.000000], [0.576254, -0.027355, 0.017382, -0.015992, -0.318673, 0.547315, 0.515286, 0.000000, 0.000000, 0.000000], [-0.154528, 0.366594, 0.640439, -0.441486, -0.465087, 0.010904, -0.142242, 0.000000, 0.000000, 0.000000]]
fourier: [[49.837071, 55.896435, 56.716538, 64.615062, 338.650266], [50.709346, 57.332523, 57.620588, 66.005643, 346.390948], [6.260692, 6.891285, 7.105004, 8.104705, 57.785026], [2.362763, 2.369822, 2.551870, 2.923629, 16.241965], [19.080651, 21.359599, 21.772822, 24.817308, 134.356031], [53.071140, 59.787612, 60.342622, 68.935982, 369.517656], [14.380019, 15.820257, 16.352648, 18.436278, 116.214732]]
### 10
mean: [-4.337335, -3.657859, 1.758816, 5.215038, 3.995748, 5.126158, 2.504419]
std: [3.710171, 2.799651, 1.673007, 4.280516, 3.330269, 4.466420, 2.165346]
pca: [[-0.418879, 0.106259, 0.308133, 0.719967, 0.131241, -0.426781, -0.024193, 0.000000, 0.000000, 0.000000], [-0.316080, 0.410003, 0.226552, 0.006955, 0.341893, 0.707065, -0.252556, 0.000000, 0.000000, 0.000000], [0.188876, 0.756872, -0.054490, -0.302355, 0.171537, -0.483094, -0.185144, 0.000000, 0.000000, 0.000000], [0.483271, -0.374003, 0.235625, 0.050781, 0.665640, -0.087513, -0.343130, 0.000000, 0.000000, 0.000000], [0.375988, 0.222577, 0.379752, 0.104535, 0.132634, 0.133117, 0.786538, 0.000000, 0.000000, 0.000000], [0.504260, 0.239631, -0.423538, 0.611924, -0.196194, 0.241886, -0.193554, 0.000000, 0.000000, 0.000000], [0.244467, 0.030150, 0.686764, -0.047157, -0.580774, 0.025498, -0.357085, 0.000000, 0.000000, 0.000000]]
fourier: [[55.952308, 62.658068, 63.250772, 72.479340, 390.360134], [42.230894, 47.257303, 47.697584, 54.638183, 329.207308], [25.229154, 28.252307, 28.557837, 32.824327, 158.293454], [64.593986, 72.183375, 72.948523, 83.585181, 469.353438], [50.268951, 56.137266, 56.793399, 65.124206, 359.617280], [67.387458, 75.432516, 76.079079, 87.329585, 461.354257], [32.709835, 36.453708, 36.954368, 42.314649, 225.397692]]
### 12
mean: [-3.733277]
std: [3.325380]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[50.219341, 56.072161, 56.638951, 65.022135, 335.994922]]
## 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": 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": [[-0.277995, -0.327814, -0.125497, 0.279314, 0.12289], [-0.09537, -0.37647, -0.229521, -0.23538, -0.234999], [0.257299, 0.176216, -0.160489, -0.446523, -0.494495], [0.364659, -0.422809, 0.477539, -0.391958, 0.143326], [-0.488826, -0.215413, -0.044432, 0.299028, 0.264859], [0.583668, 0.486241, -0.149656, 0.506923, -0.51886], [-0.469301, 0.105219, -0.420746, -0.441191, -0.570407]], "network.0.bias": [0.220882, -0.133359, -0.032454, -0.033947, 0.53993, 0.172913, -0.019161], "network.2.weight": [[0.111059, -0.104139, 0.27079, 0.173721, -0.330963, 0.331659, 0.588275], [-0.468342, 0.276742, 0.059814, 0.494903, -0.016189, 0.390222, -0.0036], [-0.419311, 0.045131, 0.191232, -0.245488, -0.09888, 0.010021, 0.285102], [0.141647, 0.075838, 0.389013, 0.095684, -0.284338, 0.3358, 0.123667], [-0.122209, -0.050399, 0.131372, 0.700336, -0.130378, -0.199819, -0.361267], [-0.187796, 0.119181, 0.349414, 0.395875, -0.012734, 0.532718, -0.05592], [0.144671, -0.025591, 0.032794, 0.085827, 0.566523, -0.088441, 0.081206]], "network.2.bias": [0.216775, 0.224586, 0.076489, 0.315965, 0.017261, -0.027502, -0.123616], "network.4.weight": [[0.517348, 0.032714, 0.334515, 0.411956, 0.084137, 0.21147, -0.127763], [0.266212, -0.171197, 0.418372, -0.244006, 0.12296, 0.408618, -0.099535], [0.59705, 0.186514, 0.193896, 0.330856, 0.430343, 0.244776, -0.140834], [0.300609, 0.659342, -0.145312, 0.452537, 0.431088, 0.638281, -0.202253], [0.048714, -0.044119, -0.247648, -0.154787, -0.107757, -0.151764, -0.008618], [-0.157844, 0.298285, 0.361747, 0.297885, -0.159818, 0.406341, -0.288228], [0.128507, 0.43231, 0.160715, 0.29867, 0.33976, 0.430209, -0.135412]], "network.4.bias": [-0.097807, -0.169358, 0.184909, 0.140346, -0.20577, -0.025453, -0.044166], "network.6.weight": [[0.444266, 0.123808, -0.160373, -0.358772, 0.100167, -0.007968, 0.089995], [0.022376, 0.350434, -0.046929, 0.47072, -0.270461, 0.290878, 0.392113], [0.691266, 0.321024, 0.126758, 0.628589, -0.121491, -0.051377, 0.539134], [0.060002, 0.228009, -0.613799, -0.655207, -0.003952, -0.31598, 0.126007], [-0.055185, 0.268249, 0.544141, -0.037789, -0.113015, 0.556682, 0.655708], [-0.063146, -0.311446, 0.156454, -0.011059, 0.218105, -0.175529, 0.42674], [-0.35839, 0.303189, 0.039636, -0.333464, -0.358422, -0.065757, 0.230071]], "network.6.bias": [0.07913, -0.063015, -0.027796, 0.074433, 0.016377, -0.084737, -0.215563], "network.8.weight": [[-0.068789, 0.345302, 0.589437, 0.516671, 0.507547, 0.21682, 0.169266], [0.051246, 0.247696, 0.636996, -0.036581, 0.507428, 0.4636, 0.019821], [0.327679, -0.078933, -0.111781, -0.358823, 0.064478, -0.206622, -0.059945], [-0.29969, 0.053605, -0.219579, 0.188515, 0.236075, -0.182031, 0.24522], [-0.066446, 0.125578, 0.139491, -0.112022, 0.249311, 0.435216, 0.290178], [-0.202805, 0.403043, 0.649804, 0.279524, 0.445216, 0.380089, 0.252527], [-0.109864, -0.337074, -0.132918, -0.162102, -0.007318, 0.057601, 0.064443]], "network.8.bias": [-0.166832, -0.163397, -0.158533, 0.351327, -0.010319, -0.075959, -0.18405], "network.10.weight": [[-0.347914, -0.083825, -0.244846, -0.030485, -0.280171, -0.546883, -0.180262], [-0.18807, -0.228685, 0.210845, -0.308477, -0.242507, -0.323103, -0.021122], [-0.013707, 0.220779, -0.257591, -0.658608, -0.318074, 0.367894, -0.095314], [0.17703, 0.635057, -0.353461, 0.241616, 0.003442, 0.448838, -0.008412], [0.274017, 0.443666, 0.236428, -0.298599, -0.182077, 0.319252, -0.146021], [0.450419, 0.384999, -0.204923, -0.219244, 0.309749, 0.358582, 0.098306], [0.615555, -0.029187, -0.324894, -0.142267, 0.102568, 0.023849, 0.061616]], "network.10.bias": [-0.029522, -0.316456, 0.048305, 0.200276, 0.267363, 0.047185, 0.071381], "network.12.weight": [[-0.10195, 0.332228, -0.13533, -0.093377, -0.226479, -0.420687, -0.032583]], "network.12.bias": [0.13873]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6953974068164825, "train_acc": 0.515, "val_loss": 0.6967542767524719, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6674733757972717, "train_acc": 0.575, "val_loss": 0.665835976600647, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5724075138568878, "train_acc": 0.575, "val_loss": 0.6674937605857849, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5325653553009033, "train_acc": 0.575, "val_loss": 0.524722158908844, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.675914078950882, "train_acc": 0.5, "val_loss": 0.4743272066116333, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.43486355245113373, "train_acc": 0.905, "val_loss": 0.5345171689987183, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5411269664764404, "train_acc": 0.785, "val_loss": 0.5634075403213501, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5609104633331299, "train_acc": 0.725, "val_loss": 0.5343267321586609, "val_acc": 0.72}], "summary": {"total_epochs": 8, "degraded_epochs": 4, "improved_epochs": 4, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6967542767524719, "final_val_loss": 0.524722158908844, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.4743272066116333, "final_val_loss": 0.5343267321586609, "initial_val_acc": 0.84, "final_val_acc": 0.72, "best_val_acc": 0.84, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
9,933
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7442, "learning_rate": 0.0800109678336201, "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: 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.6.weight": [
[
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],
"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.456492, 1.222542, -1.963760, -3.896731, -0.079911, -0.386528, 1.344992]
std: [1.760024, 2.656158, 1.344967, 2.419578, 2.761963, 2.564948, 1.240709]
pca: [[0.377013, -0.201460, 0.257295, -0.247942, -0.600328, 0.519322, -0.243944, 0.000000, 0.000000, 0.000000], [0.656940, 0.137898, -0.168641, -0.347688, 0.604400, 0.185942, -0.014611, 0.000000, 0.000000, 0.000000], [-0.164738, 0.121826, 0.411741, -0.348612, 0.024264, 0.196632, 0.792279, 0.000000, 0.000000, 0.000000], [-0.224135, 0.507130, 0.596832, 0.098714, 0.274143, 0.214965, -0.453063, 0.000000, 0.000000, 0.000000], [-0.065441, 0.730607, -0.526830, 0.008687, -0.318862, 0.271653, 0.094007, 0.000000, 0.000000, 0.000000], [0.576661, 0.235850, 0.286908, 0.605734, -0.168889, -0.249378, 0.268130, 0.000000, 0.000000, 0.000000], [-0.109977, -0.281006, -0.140554, 0.565131, 0.261469, 0.689109, 0.163017, 0.000000, 0.000000, 0.000000]]
fourier: [[27.609125, 29.330599, 34.183717, 38.459141, 41.084320], [46.098875, 46.873842, 54.700694, 58.286303, 110.028755], [20.892263, 22.440510, 23.480280, 26.538846, 176.738425], [37.424538, 39.610380, 48.202716, 50.214697, 350.705738], [38.258454, 42.608144, 43.822907, 43.862311, 46.397869], [35.020868, 35.549127, 41.132466, 46.616360, 58.272515], [17.949598, 18.061799, 18.382170, 20.581689, 121.049320]]
### 2
mean: [-2.671246, 2.264820, -0.958090, 1.776303, -0.973128, -1.166944, 2.360745]
std: [2.522599, 4.418076, 0.475321, 3.110062, 0.975854, 0.666042, 3.961480]
pca: [[-0.320148, 0.814269, -0.125086, -0.367390, -0.075900, 0.116412, -0.254039, 0.000000, 0.000000, 0.000000], [0.617515, 0.183082, -0.515146, 0.291482, 0.222579, 0.332431, -0.273434, 0.000000, 0.000000, 0.000000], [-0.060630, 0.149416, 0.000465, 0.077310, -0.070338, 0.629569, 0.752806, 0.000000, 0.000000, 0.000000], [0.431085, 0.273386, 0.739691, -0.111853, 0.423265, 0.020806, 0.013634, 0.000000, 0.000000, 0.000000], [-0.113664, 0.374084, 0.201454, 0.829776, -0.247155, -0.238507, 0.007629, 0.000000, 0.000000, 0.000000], [-0.083380, 0.188953, -0.352105, 0.009360, 0.592077, -0.527837, 0.451787, 0.000000, 0.000000, 0.000000], [0.553893, 0.175327, -0.085282, -0.270110, -0.590725, -0.379012, 0.299375, 0.000000, 0.000000, 0.000000]]
fourier: [[42.798398, 49.357031, 49.636628, 52.558839, 240.412092], [77.723811, 81.359749, 86.597883, 97.304093, 203.833833], [8.275697, 9.073812, 9.510782, 9.740388, 86.228095], [53.855415, 61.586908, 62.230378, 64.797796, 159.867231], [17.163587, 17.205782, 17.761630, 19.478267, 87.581533], [12.463454, 12.533785, 13.603940, 14.817335, 105.024918], [70.352839, 75.750789, 79.243356, 85.487259, 212.467049]]
### 4
mean: [5.080681, -1.679775, -2.407783, -2.793005, -3.361177, -2.025280, 4.771460]
std: [7.551858, 2.224643, 2.964778, 4.410624, 4.344116, 2.388388, 7.004269]
pca: [[0.590186, 0.149434, 0.269023, -0.000490, 0.141675, 0.110463, 0.724364, 0.000000, 0.000000, 0.000000], [-0.173689, 0.248848, 0.423009, 0.803310, 0.263921, -0.037394, -0.112296, 0.000000, 0.000000, 0.000000], [-0.231291, 0.487654, 0.346278, -0.532586, 0.374450, -0.402648, -0.052954, 0.000000, 0.000000, 0.000000], [-0.344381, 0.527072, -0.342304, 0.156788, -0.497668, -0.184246, 0.424525, 0.000000, 0.000000, 0.000000], [-0.339474, -0.002583, 0.577747, -0.209858, -0.403224, 0.584475, 0.052146, 0.000000, 0.000000, 0.000000], [-0.186440, 0.300699, -0.421563, -0.046232, 0.521450, 0.648838, 0.045471, 0.000000, 0.000000, 0.000000], [0.547190, 0.556512, -0.010161, -0.016873, -0.296460, 0.166514, -0.524285, 0.000000, 0.000000, 0.000000]]
fourier: [[124.337989, 143.918488, 144.458786, 163.582144, 457.261334], [36.564671, 42.355225, 43.513373, 47.602293, 151.179738], [49.077657, 56.753418, 58.627510, 62.984043, 216.700434], [73.519224, 84.889298, 86.776427, 94.000513, 251.370504], [71.023190, 82.352459, 83.195732, 94.090110, 302.505899], [40.016818, 46.156412, 47.114096, 50.793923, 182.275167], [114.510731, 132.206550, 132.718707, 152.714348, 429.431388]]
### 6
mean: [7.484691, -1.330862, -1.447027, -3.347317, -2.763831, 6.986000, -1.130985]
std: [11.162106, 1.458810, 1.396858, 4.998405, 4.325355, 10.117731, 2.826258]
pca: [[0.663912, -0.161050, -0.354352, 0.273277, 0.125242, 0.025343, 0.562770, 0.000000, 0.000000, 0.000000], [-0.086721, 0.027182, 0.639820, -0.074132, 0.489841, -0.359025, 0.456106, 0.000000, 0.000000, 0.000000], [-0.082964, -0.318997, 0.025069, -0.007266, 0.615721, 0.700859, -0.142689, 0.000000, 0.000000, 0.000000], [-0.297231, 0.458906, -0.301135, -0.492983, -0.022404, 0.305505, 0.522981, 0.000000, 0.000000, 0.000000], [-0.257210, 0.366318, -0.482888, 0.366010, 0.531277, -0.345263, -0.176204, 0.000000, 0.000000, 0.000000], [0.601734, 0.624267, 0.216875, -0.202469, 0.168349, 0.128470, -0.339607, 0.000000, 0.000000, 0.000000], [-0.168019, 0.370232, 0.305841, 0.708366, -0.232720, 0.387570, 0.187102, 0.000000, 0.000000, 0.000000]]
fourier: [[182.584037, 211.119959, 211.910287, 242.943328, 673.622231], [23.685946, 27.140101, 27.607905, 31.978608, 119.777544], [22.420835, 25.491315, 26.353611, 30.612783, 130.232443], [82.332190, 95.463830, 95.535416, 108.275080, 301.258549], [71.273226, 82.583972, 82.798353, 93.630453, 248.744737], [164.730119, 189.292785, 192.235299, 220.560968, 628.740018], [46.534758, 53.573991, 54.314086, 61.317880, 101.788599]]
### 8
mean: [-9.435607]
std: [15.117194]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.581951, 285.396871, 287.716670, 328.829793, 849.204572]]
## 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: 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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[
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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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]
],
"network.2.bias": [
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"network.4.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.456492, 1.222542, -1.963760, -3.896731, -0.079911, -0.386528, 1.344992]
std: [1.760024, 2.656158, 1.344967, 2.419578, 2.761963, 2.564948, 1.240709]
pca: [[0.377013, -0.201460, 0.257295, -0.247942, -0.600328, 0.519322, -0.243944, 0.000000, 0.000000, 0.000000], [0.656940, 0.137898, -0.168641, -0.347688, 0.604400, 0.185942, -0.014611, 0.000000, 0.000000, 0.000000], [-0.164738, 0.121826, 0.411741, -0.348612, 0.024264, 0.196632, 0.792279, 0.000000, 0.000000, 0.000000], [-0.224135, 0.507130, 0.596832, 0.098714, 0.274143, 0.214965, -0.453063, 0.000000, 0.000000, 0.000000], [-0.065441, 0.730607, -0.526830, 0.008687, -0.318862, 0.271653, 0.094007, 0.000000, 0.000000, 0.000000], [0.576661, 0.235850, 0.286908, 0.605734, -0.168889, -0.249378, 0.268130, 0.000000, 0.000000, 0.000000], [-0.109977, -0.281006, -0.140554, 0.565131, 0.261469, 0.689109, 0.163017, 0.000000, 0.000000, 0.000000]]
fourier: [[27.609125, 29.330599, 34.183717, 38.459141, 41.084320], [46.098875, 46.873842, 54.700694, 58.286303, 110.028755], [20.892263, 22.440510, 23.480280, 26.538846, 176.738425], [37.424538, 39.610380, 48.202716, 50.214697, 350.705738], [38.258454, 42.608144, 43.822907, 43.862311, 46.397869], [35.020868, 35.549127, 41.132466, 46.616360, 58.272515], [17.949598, 18.061799, 18.382170, 20.581689, 121.049320]]
### 2
mean: [-2.671246, 2.264820, -0.958090, 1.776303, -0.973128, -1.166944, 2.360745]
std: [2.522599, 4.418076, 0.475321, 3.110062, 0.975854, 0.666042, 3.961480]
pca: [[-0.320148, 0.814269, -0.125086, -0.367390, -0.075900, 0.116412, -0.254039, 0.000000, 0.000000, 0.000000], [0.617515, 0.183082, -0.515146, 0.291482, 0.222579, 0.332431, -0.273434, 0.000000, 0.000000, 0.000000], [-0.060630, 0.149416, 0.000465, 0.077310, -0.070338, 0.629569, 0.752806, 0.000000, 0.000000, 0.000000], [0.431085, 0.273386, 0.739691, -0.111853, 0.423265, 0.020806, 0.013634, 0.000000, 0.000000, 0.000000], [-0.113664, 0.374084, 0.201454, 0.829776, -0.247155, -0.238507, 0.007629, 0.000000, 0.000000, 0.000000], [-0.083380, 0.188953, -0.352105, 0.009360, 0.592077, -0.527837, 0.451787, 0.000000, 0.000000, 0.000000], [0.553893, 0.175327, -0.085282, -0.270110, -0.590725, -0.379012, 0.299375, 0.000000, 0.000000, 0.000000]]
fourier: [[42.798398, 49.357031, 49.636628, 52.558839, 240.412092], [77.723811, 81.359749, 86.597883, 97.304093, 203.833833], [8.275697, 9.073812, 9.510782, 9.740388, 86.228095], [53.855415, 61.586908, 62.230378, 64.797796, 159.867231], [17.163587, 17.205782, 17.761630, 19.478267, 87.581533], [12.463454, 12.533785, 13.603940, 14.817335, 105.024918], [70.352839, 75.750789, 79.243356, 85.487259, 212.467049]]
### 4
mean: [5.080681, -1.679775, -2.407783, -2.793005, -3.361177, -2.025280, 4.771460]
std: [7.551858, 2.224643, 2.964778, 4.410624, 4.344116, 2.388388, 7.004269]
pca: [[0.590186, 0.149434, 0.269023, -0.000490, 0.141675, 0.110463, 0.724364, 0.000000, 0.000000, 0.000000], [-0.173689, 0.248848, 0.423009, 0.803310, 0.263921, -0.037394, -0.112296, 0.000000, 0.000000, 0.000000], [-0.231291, 0.487654, 0.346278, -0.532586, 0.374450, -0.402648, -0.052954, 0.000000, 0.000000, 0.000000], [-0.344381, 0.527072, -0.342304, 0.156788, -0.497668, -0.184246, 0.424525, 0.000000, 0.000000, 0.000000], [-0.339474, -0.002583, 0.577747, -0.209858, -0.403224, 0.584475, 0.052146, 0.000000, 0.000000, 0.000000], [-0.186440, 0.300699, -0.421563, -0.046232, 0.521450, 0.648838, 0.045471, 0.000000, 0.000000, 0.000000], [0.547190, 0.556512, -0.010161, -0.016873, -0.296460, 0.166514, -0.524285, 0.000000, 0.000000, 0.000000]]
fourier: [[124.337989, 143.918488, 144.458786, 163.582144, 457.261334], [36.564671, 42.355225, 43.513373, 47.602293, 151.179738], [49.077657, 56.753418, 58.627510, 62.984043, 216.700434], [73.519224, 84.889298, 86.776427, 94.000513, 251.370504], [71.023190, 82.352459, 83.195732, 94.090110, 302.505899], [40.016818, 46.156412, 47.114096, 50.793923, 182.275167], [114.510731, 132.206550, 132.718707, 152.714348, 429.431388]]
### 6
mean: [7.484691, -1.330862, -1.447027, -3.347317, -2.763831, 6.986000, -1.130985]
std: [11.162106, 1.458810, 1.396858, 4.998405, 4.325355, 10.117731, 2.826258]
pca: [[0.663912, -0.161050, -0.354352, 0.273277, 0.125242, 0.025343, 0.562770, 0.000000, 0.000000, 0.000000], [-0.086721, 0.027182, 0.639820, -0.074132, 0.489841, -0.359025, 0.456106, 0.000000, 0.000000, 0.000000], [-0.082964, -0.318997, 0.025069, -0.007266, 0.615721, 0.700859, -0.142689, 0.000000, 0.000000, 0.000000], [-0.297231, 0.458906, -0.301135, -0.492983, -0.022404, 0.305505, 0.522981, 0.000000, 0.000000, 0.000000], [-0.257210, 0.366318, -0.482888, 0.366010, 0.531277, -0.345263, -0.176204, 0.000000, 0.000000, 0.000000], [0.601734, 0.624267, 0.216875, -0.202469, 0.168349, 0.128470, -0.339607, 0.000000, 0.000000, 0.000000], [-0.168019, 0.370232, 0.305841, 0.708366, -0.232720, 0.387570, 0.187102, 0.000000, 0.000000, 0.000000]]
fourier: [[182.584037, 211.119959, 211.910287, 242.943328, 673.622231], [23.685946, 27.140101, 27.607905, 31.978608, 119.777544], [22.420835, 25.491315, 26.353611, 30.612783, 130.232443], [82.332190, 95.463830, 95.535416, 108.275080, 301.258549], [71.273226, 82.583972, 82.798353, 93.630453, 248.744737], [164.730119, 189.292785, 192.235299, 220.560968, 628.740018], [46.534758, 53.573991, 54.314086, 61.317880, 101.788599]]
### 8
mean: [-9.435607]
std: [15.117194]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[246.581951, 285.396871, 287.716670, 328.829793, 849.204572]]
## 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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"fourier": [46.534758079122945, 53.57399108959857, 54.314086332022825, 61.31787979954687, 101.78859916329384]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -9.435606956481934, "std": 15.117194175720215, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [246.58195088310026, 285.39687106996104, 287.7166698581136, 328.82979311387606, 849.2045722901821]}}, "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": [[0.913141, -0.075312, -0.284041, -0.095369, 0.034548], [0.791375, -0.043029, -0.282018, -0.155651, 1.099499], [-0.160187, -0.040013, -0.276297, -0.400023, -0.269124], [-0.448278, -0.568912, -0.230118, -0.621213, -0.073124], [-0.993196, -0.138962, -0.047426, -0.042906, 1.181175], [0.930596, -0.86468, -0.089292, -0.175895, 0.629188], [0.012149, -0.000879, 0.427161, 0.375057, -0.461045]], "network.0.bias": [0.212609, -0.117032, 0.075398, -0.399155, 0.143579, -0.181246, 0.203517], "network.2.weight": [[0.277828, -0.696537, -0.365627, 0.081525, -0.38747, -0.812712, -0.6384], [0.501226, 1.114135, -0.347016, 0.195699, 1.077538, 0.063109, -0.597648], [0.023264, -0.099953, -0.266535, 0.308997, -0.081735, -0.180641, -0.104013], [0.887167, 0.439355, -0.07032, 0.457956, 1.157775, -0.021226, -0.282321], [0.017938, -0.094639, 0.493477, -0.214473, -0.107436, -0.539666, -0.176744], [-0.074873, -0.18318, 0.069912, 0.212554, -0.137941, -0.093793, -0.218135], [0.707137, 0.936686, -0.092017, 0.376566, 1.019005, -0.02153, -0.47973]], "network.2.bias": [0.093133, -0.145185, -0.457505, -0.293091, -0.08867, -0.303614, 0.016099], "network.4.weight": [[0.288518, 0.86771, -0.235786, 0.164725, -0.148184, 0.327225, 1.010851], [0.26091, -0.236227, 0.112729, -0.356863, 0.135651, 0.16584, -0.07975], [0.210506, -0.160487, -0.233779, -0.555948, -0.323939, -0.291327, -0.21176], [-0.028205, -0.099127, 0.077316, -0.529182, 0.181601, -0.181525, -0.698821], [0.387758, -0.668576, 0.156564, -0.284393, 0.032156, 0.277722, -0.249895], [0.054217, 0.025038, -0.110397, -0.257352, -0.101359, 0.225492, -0.486692], [-0.038299, 1.121515, -0.053325, -0.118725, -0.066086, -0.307623, 0.801523]], "network.4.bias": [-0.519749, -0.032731, -0.188758, 0.539794, -0.1722, -0.206805, -0.369501], "network.6.weight": [[0.587756, 0.063435, 0.537198, -0.627157, -0.065999, 0.213697, 0.974953], [0.23096, 0.306642, -0.228054, 0.147798, -0.001431, -0.191716, -0.455534], [-0.075697, 0.089366, -0.037896, -0.360573, 0.274608, -0.148972, -0.131044], [-0.51307, -0.19676, -0.09491, 0.732994, 0.158123, -0.233425, -0.156545], [-0.557325, 0.068829, -0.01396, 0.572928, -0.142516, -0.076611, -0.01558], [0.79902, 0.443643, -0.033298, 0.478861, 0.087269, 0.23096, 0.625859], [-0.044125, -0.102421, -0.141412, 0.604578, 0.358637, -0.1711, -0.347095]], "network.6.bias": [-0.296886, -0.346498, -0.306594, -0.031024, 0.131956, -0.473525, 0.665372], "network.8.weight": [[-0.403898, 0.030584, 0.038411, 0.203056, 0.364686, -1.033495, 0.688083]], "network.8.bias": [0.59387]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881123185157776, "train_acc": 0.49, "val_loss": 0.7335299849510193, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6575475037097931, "train_acc": 0.58, "val_loss": 0.6817973852157593, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6352519690990448, "train_acc": 0.5, "val_loss": 0.5578767657279968, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4862457662820816, "train_acc": 0.59, "val_loss": 0.5059382915496826, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.41772526502609253, "train_acc": 0.84, "val_loss": 0.4648424983024597, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3792910724878311, "train_acc": 0.845, "val_loss": 0.4656095802783966, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.35864391922950745, "train_acc": 0.845, "val_loss": 0.5282055139541626, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3546769469976425, "train_acc": 0.85, "val_loss": 0.6633899211883545, "val_acc": 0.8}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7335299849510193, "final_val_loss": 0.6817973852157593, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5578767657279968, "final_val_loss": 0.6633899211883545, "initial_val_acc": 0.5, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 6}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,934
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.64, "improved_accuracy": 0.86, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6893, "learning_rate": 0.04210390696610841, "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: 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: [1.565299, 2.735577, 2.255043, 1.663365, -1.774822, 3.057025]
std: [2.025985, 1.980750, 2.144747, 1.506067, 1.171615, 2.076952]
pca: [[0.429162, -0.486754, 0.571060, -0.287396, -0.403206, 0.087231, 0.000000, 0.000000, 0.000000, 0.000000], [0.496505, -0.163880, -0.241077, -0.315288, 0.680184, 0.326269, 0.000000, 0.000000, 0.000000, 0.000000], [0.542694, -0.073453, -0.018026, 0.826342, 0.024122, -0.127825, 0.000000, 0.000000, 0.000000, 0.000000], [0.103192, 0.614079, 0.694727, -0.021252, 0.349390, -0.084185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295162, -0.060377, 0.208342, 0.327487, 0.008792, 0.870920, 0.000000, 0.000000, 0.000000, 0.000000], [0.420733, 0.591675, -0.298989, -0.165699, -0.502039, 0.322507, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.805181, 33.251832, 35.886170, 39.543261, 140.876905], [31.725547, 34.320274, 35.957802, 36.550873, 246.201899], [32.806188, 33.363692, 40.972005, 41.383173, 202.953851], [24.804786, 24.861445, 26.205000, 28.054294, 149.702824], [17.401978, 18.724762, 21.148129, 22.906010, 159.734013], [32.086000, 37.201667, 38.182589, 39.481289, 275.132241]]
### 2
mean: [4.156845, -0.875663, -0.756018, -1.114073, -2.935385, -2.149760]
std: [2.881134, 2.503406, 1.541241, 2.367726, 1.890617, 1.507287]
pca: [[0.587543, -0.413255, -0.147838, 0.365845, 0.163183, 0.549259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503898, -0.376135, -0.345320, 0.337839, 0.564362, -0.229619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323755, -0.129911, 0.819945, 0.031174, 0.258614, 0.371675, 0.000000, 0.000000, 0.000000, 0.000000], [-0.510684, -0.208159, -0.348248, -0.223486, -0.439867, 0.575470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185603, 0.593148, -0.041357, 0.741626, -0.163099, 0.188165, 0.000000, 0.000000, 0.000000, 0.000000], [0.028566, 0.525083, -0.252193, -0.388709, 0.606549, 0.375333, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.621515, 44.962672, 52.912581, 57.485102, 374.115986], [38.583282, 38.680300, 38.854266, 49.507820, 78.809692], [24.909673, 25.424269, 26.158312, 28.064229, 68.041621], [35.018706, 38.332542, 39.705237, 47.108633, 100.266556], [31.025322, 32.219635, 34.317455, 36.717711, 264.184630], [23.549815, 23.639171, 23.811557, 25.905099, 193.478406]]
### 4
mean: [2.007916, 2.029565, 2.682698, 1.274378, 0.781844, 2.073247]
std: [1.604455, 1.558848, 1.879741, 0.960918, 0.740865, 1.753515]
pca: [[0.459273, -0.116330, -0.274397, 0.793211, 0.176367, -0.199882, 0.000000, 0.000000, 0.000000, 0.000000], [0.444226, -0.193111, -0.219747, -0.079336, -0.611661, 0.580223, 0.000000, 0.000000, 0.000000, 0.000000], [0.538059, 0.131225, -0.425877, -0.579929, 0.302929, -0.289514, 0.000000, 0.000000, 0.000000, 0.000000], [0.135898, 0.869215, 0.082148, 0.143949, 0.167681, 0.412809, 0.000000, 0.000000, 0.000000, 0.000000], [0.178230, -0.417105, 0.306848, -0.072551, 0.652440, 0.518806, 0.000000, 0.000000, 0.000000, 0.000000], [0.501986, 0.049446, 0.770806, -0.047119, -0.221820, -0.316225, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.961999, 26.684247, 30.012958, 30.305674, 180.712431], [25.126585, 25.718117, 29.067983, 30.587132, 182.660831], [29.840850, 31.890980, 33.861995, 35.904428, 241.442874], [14.494035, 14.931510, 17.881783, 20.057810, 114.694073], [12.172674, 12.252215, 12.444009, 17.318412, 70.365924], [28.146093, 31.034029, 31.302198, 32.038873, 186.592237]]
### 6
mean: [3.037158, -1.536463, 4.898855, -1.210780, -1.291046, -1.921860]
std: [2.344887, 1.320046, 3.710999, 0.846950, 0.857653, 1.933140]
pca: [[0.460442, 0.016554, -0.033963, 0.674607, -0.512344, 0.262629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257691, -0.226708, 0.871443, 0.066589, -0.033492, 0.342390, 0.000000, 0.000000, 0.000000, 0.000000], [0.727690, 0.406321, 0.326134, -0.232417, 0.374564, 0.068488, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164591, 0.228477, -0.316777, -0.207592, 0.058069, 0.879713, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168029, 0.050665, -0.072010, 0.652621, 0.732712, 0.035111, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369771, 0.853501, 0.165945, 0.132079, -0.236315, -0.184330, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.366799, 39.439737, 41.456433, 46.395144, 273.344275], [21.386925, 22.114873, 24.066461, 24.797407, 138.281650], [60.170919, 65.075933, 65.648480, 70.650966, 440.896971], [13.612526, 14.264736, 14.882938, 18.020830, 108.970175], [14.112453, 14.436447, 15.003246, 17.387314, 116.194156], [30.321433, 32.313580, 33.111875, 43.039253, 172.967396]]
### 8
mean: [-3.623441]
std: [2.720516]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.710766, 46.871783, 47.181844, 55.549300, 326.109774]]
## 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: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.363561,
-0.489222,
-0.218998,
-0.13866
],
[
0.600001,
0.051261,
-0.421991,
-0.404707,
0.181729,
-0.485134
],
[
0.274393,
0.237065,
0.280398,
0.436206,
-0.058714,
0.27908
],
[
0.137773,
-0.306713,
-0.01364,
-0.389488,
0.145909,
-0.350204
],
[
0.563034,
-0.375547,
0.419951,
-0.479971,
-0.077597,
0.012177
]
],
"network.4.bias": [
0.239676,
0.396416,
0.334684,
-0.11551,
0.441899,
-0.02158
],
"network.6.weight": [
[
0.069601,
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0.594953,
-0.32861,
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],
[
-0.390655,
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0.2691,
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],
[
0.675213,
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],
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-0.317879,
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],
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-0.289729,
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],
[
-0.112661,
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]
],
"network.6.bias": [
0.25048,
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-0.301527,
-0.142578,
-0.125446
],
"network.8.weight": [
[
-0.318447,
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],
"network.8.bias": [
-0.225119
]
}
## Activation Signature
### 0
mean: [1.565299, 2.735577, 2.255043, 1.663365, -1.774822, 3.057025]
std: [2.025985, 1.980750, 2.144747, 1.506067, 1.171615, 2.076952]
pca: [[0.429162, -0.486754, 0.571060, -0.287396, -0.403206, 0.087231, 0.000000, 0.000000, 0.000000, 0.000000], [0.496505, -0.163880, -0.241077, -0.315288, 0.680184, 0.326269, 0.000000, 0.000000, 0.000000, 0.000000], [0.542694, -0.073453, -0.018026, 0.826342, 0.024122, -0.127825, 0.000000, 0.000000, 0.000000, 0.000000], [0.103192, 0.614079, 0.694727, -0.021252, 0.349390, -0.084185, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295162, -0.060377, 0.208342, 0.327487, 0.008792, 0.870920, 0.000000, 0.000000, 0.000000, 0.000000], [0.420733, 0.591675, -0.298989, -0.165699, -0.502039, 0.322507, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.805181, 33.251832, 35.886170, 39.543261, 140.876905], [31.725547, 34.320274, 35.957802, 36.550873, 246.201899], [32.806188, 33.363692, 40.972005, 41.383173, 202.953851], [24.804786, 24.861445, 26.205000, 28.054294, 149.702824], [17.401978, 18.724762, 21.148129, 22.906010, 159.734013], [32.086000, 37.201667, 38.182589, 39.481289, 275.132241]]
### 2
mean: [4.156845, -0.875663, -0.756018, -1.114073, -2.935385, -2.149760]
std: [2.881134, 2.503406, 1.541241, 2.367726, 1.890617, 1.507287]
pca: [[0.587543, -0.413255, -0.147838, 0.365845, 0.163183, 0.549259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503898, -0.376135, -0.345320, 0.337839, 0.564362, -0.229619, 0.000000, 0.000000, 0.000000, 0.000000], [-0.323755, -0.129911, 0.819945, 0.031174, 0.258614, 0.371675, 0.000000, 0.000000, 0.000000, 0.000000], [-0.510684, -0.208159, -0.348248, -0.223486, -0.439867, 0.575470, 0.000000, 0.000000, 0.000000, 0.000000], [-0.185603, 0.593148, -0.041357, 0.741626, -0.163099, 0.188165, 0.000000, 0.000000, 0.000000, 0.000000], [0.028566, 0.525083, -0.252193, -0.388709, 0.606549, 0.375333, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.621515, 44.962672, 52.912581, 57.485102, 374.115986], [38.583282, 38.680300, 38.854266, 49.507820, 78.809692], [24.909673, 25.424269, 26.158312, 28.064229, 68.041621], [35.018706, 38.332542, 39.705237, 47.108633, 100.266556], [31.025322, 32.219635, 34.317455, 36.717711, 264.184630], [23.549815, 23.639171, 23.811557, 25.905099, 193.478406]]
### 4
mean: [2.007916, 2.029565, 2.682698, 1.274378, 0.781844, 2.073247]
std: [1.604455, 1.558848, 1.879741, 0.960918, 0.740865, 1.753515]
pca: [[0.459273, -0.116330, -0.274397, 0.793211, 0.176367, -0.199882, 0.000000, 0.000000, 0.000000, 0.000000], [0.444226, -0.193111, -0.219747, -0.079336, -0.611661, 0.580223, 0.000000, 0.000000, 0.000000, 0.000000], [0.538059, 0.131225, -0.425877, -0.579929, 0.302929, -0.289514, 0.000000, 0.000000, 0.000000, 0.000000], [0.135898, 0.869215, 0.082148, 0.143949, 0.167681, 0.412809, 0.000000, 0.000000, 0.000000, 0.000000], [0.178230, -0.417105, 0.306848, -0.072551, 0.652440, 0.518806, 0.000000, 0.000000, 0.000000, 0.000000], [0.501986, 0.049446, 0.770806, -0.047119, -0.221820, -0.316225, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.961999, 26.684247, 30.012958, 30.305674, 180.712431], [25.126585, 25.718117, 29.067983, 30.587132, 182.660831], [29.840850, 31.890980, 33.861995, 35.904428, 241.442874], [14.494035, 14.931510, 17.881783, 20.057810, 114.694073], [12.172674, 12.252215, 12.444009, 17.318412, 70.365924], [28.146093, 31.034029, 31.302198, 32.038873, 186.592237]]
### 6
mean: [3.037158, -1.536463, 4.898855, -1.210780, -1.291046, -1.921860]
std: [2.344887, 1.320046, 3.710999, 0.846950, 0.857653, 1.933140]
pca: [[0.460442, 0.016554, -0.033963, 0.674607, -0.512344, 0.262629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257691, -0.226708, 0.871443, 0.066589, -0.033492, 0.342390, 0.000000, 0.000000, 0.000000, 0.000000], [0.727690, 0.406321, 0.326134, -0.232417, 0.374564, 0.068488, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164591, 0.228477, -0.316777, -0.207592, 0.058069, 0.879713, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168029, 0.050665, -0.072010, 0.652621, 0.732712, 0.035111, 0.000000, 0.000000, 0.000000, 0.000000], [-0.369771, 0.853501, 0.165945, 0.132079, -0.236315, -0.184330, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.366799, 39.439737, 41.456433, 46.395144, 273.344275], [21.386925, 22.114873, 24.066461, 24.797407, 138.281650], [60.170919, 65.075933, 65.648480, 70.650966, 440.896971], [13.612526, 14.264736, 14.882938, 18.020830, 108.970175], [14.112453, 14.436447, 15.003246, 17.387314, 116.194156], [30.321433, 32.313580, 33.111875, 43.039253, 172.967396]]
### 8
mean: [-3.623441]
std: [2.720516]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.710766, 46.871783, 47.181844, 55.549300, 326.109774]]
## 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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"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": [[0.753636, 0.287338, 0.246291, -0.239714, -0.001537], [0.33269, 0.648186, 0.425737, -0.019108, 0.042116], [0.591267, 0.663914, 0.100622, 0.182668, -0.022453], [0.005003, -0.011986, -0.187186, 0.414446, 0.614133], [-0.182695, -0.262447, -0.299523, -0.175562, -0.037183], [0.188603, 0.235279, 0.30255, 0.738847, 0.209632]], "network.0.bias": [0.105322, 0.240138, -0.264774, 0.423805, -0.021218, -0.081369], "network.2.weight": [[0.377212, 0.337835, 0.464572, 0.084134, -0.166568, 0.370614], [-0.546543, -0.410467, -0.370224, 0.488125, -0.42002, 0.407355], [-0.032408, -0.523116, -0.145213, 0.497874, 0.139358, -0.018358], [-0.624731, -0.051351, -0.481345, 0.513611, -0.435345, 0.05636], [-0.195368, -0.390764, 0.28261, -0.674147, 0.50123, -0.418284], [0.20163, 0.04778, -0.165607, -0.768407, 0.148215, -0.150725]], "network.2.bias": [0.366706, -0.153193, 0.28543, 0.033753, 0.177021, -0.524327], "network.4.weight": [[0.480923, -0.184185, -0.562876, -0.181613, -0.443695, -0.015822], [0.453816, -0.135083, -0.363561, -0.489222, -0.218998, -0.13866], [0.600001, 0.051261, -0.421991, -0.404707, 0.181729, -0.485134], [0.274393, 0.237065, 0.280398, 0.436206, -0.058714, 0.27908], [0.137773, -0.306713, -0.01364, -0.389488, 0.145909, -0.350204], [0.563034, -0.375547, 0.419951, -0.479971, -0.077597, 0.012177]], "network.4.bias": [0.239676, 0.396416, 0.334684, -0.11551, 0.441899, -0.02158], "network.6.weight": [[0.069601, -0.053902, 0.594953, -0.32861, 0.640906, 0.550071], [-0.390655, -0.117398, 0.2691, -0.0013, -0.078907, -0.55004], [0.675213, 0.514207, 0.55588, -0.216897, 0.478091, 0.347342], [-0.317879, 0.226047, -0.281547, 0.275594, -0.205972, -0.082562], [-0.289729, -0.327682, -0.069824, 0.037639, -0.401832, 0.254466], [-0.112661, -0.670072, 0.015325, 0.713195, -0.077774, -0.528706]], "network.6.bias": [0.25048, -0.074238, 0.281898, -0.301527, -0.142578, -0.125446], "network.8.weight": [[-0.318447, 0.211372, -0.498595, 0.418185, 0.224131, 0.696123]], "network.8.bias": [-0.225119]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6858832538127899, "train_acc": 0.595, "val_loss": 0.7089865803718567, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6715370416641235, "train_acc": 0.595, "val_loss": 0.7152166962623596, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6742995381355286, "train_acc": 0.595, "val_loss": 0.7209155559539795, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6647691130638123, "train_acc": 0.595, "val_loss": 0.6918449401855469, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6139509081840515, "train_acc": 0.595, "val_loss": 0.573298990726471, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.4467383176088333, "train_acc": 0.785, "val_loss": 0.4863816201686859, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4508134126663208, "train_acc": 0.835, "val_loss": 0.3709750473499298, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5782284885644913, "train_acc": 0.81, "val_loss": 0.3246431052684784, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.2990562319755554, "train_acc": 0.865, "val_loss": 0.4555465281009674, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.38276661932468414, "train_acc": 0.865, "val_loss": 0.4327907860279083, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3584556579589844, "train_acc": 0.845, "val_loss": 0.39025643467903137, "val_acc": 0.84}], "summary": {"total_epochs": 11, "degraded_epochs": 5, "improved_epochs": 6, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7089865803718567, "final_val_loss": 0.573298990726471, "initial_val_acc": 0.46, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.4863816201686859, "final_val_loss": 0.39025643467903137, "initial_val_acc": 0.84, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 6}, "improvement": 0.21999999999999997, "first_improvement_epoch": 4}}
|
9,935
|
{"target_pattern": "contains_abc", "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": 2315, "learning_rate": 0.019631941150567184, "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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[
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"network.2.weight": [
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"network.6.weight": [
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"network.8.weight": [
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"network.10.weight": [
[
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]
],
"network.10.bias": [
0.383566
]
}
## Activation Signature
### 0
mean: [2.253345, 1.092694, 2.024124, 2.372878, -0.929876, -2.113463, -0.742020, 0.875907]
std: [1.447930, 1.493248, 1.457981, 1.835691, 1.371974, 1.550009, 1.324072, 1.641188]
pca: [[0.386403, -0.157632, 0.148756, 0.441246, -0.511755, 0.228485, -0.137828, 0.525284, 0.000000, 0.000000], [0.398573, -0.041686, -0.343920, -0.427517, 0.303018, -0.322800, -0.282699, 0.512261, 0.000000, 0.000000], [0.388786, -0.038501, 0.354753, 0.002870, 0.527097, 0.546601, -0.318634, -0.208263, 0.000000, 0.000000], [0.470573, 0.412091, -0.169937, 0.459755, 0.000643, -0.430402, -0.131735, -0.407294, 0.000000, 0.000000], [-0.199032, 0.385117, 0.600478, -0.256652, -0.231864, -0.266689, -0.506510, 0.064729, 0.000000, 0.000000], [-0.288159, 0.451332, -0.552794, 0.050266, -0.098404, 0.466594, -0.418255, 0.053163, 0.000000, 0.000000], [-0.306092, 0.290035, 0.167464, 0.481805, 0.539721, -0.112650, 0.168676, 0.479131, 0.000000, 0.000000], [0.320777, 0.604960, 0.103261, -0.332588, -0.117096, 0.240943, 0.567681, 0.125781, 0.000000, 0.000000]]
fourier: [[23.290321, 23.667221, 26.842089, 27.055690, 202.801088], [22.248549, 22.629354, 25.584711, 26.136510, 98.342475], [24.068930, 25.189353, 27.195804, 30.262625, 182.171216], [28.029927, 31.429748, 31.841161, 36.855311, 213.558967], [23.170604, 24.708457, 26.377287, 31.346386, 83.688844], [24.575578, 24.781595, 29.621499, 30.729263, 190.211728], [19.846579, 21.316330, 22.600996, 24.974597, 66.781802], [26.835706, 27.612953, 30.732857, 36.198434, 78.831609]]
### 2
mean: [0.792723, 0.952970, -0.843591, 3.368531, 0.364806, 2.365111, 0.127001, -1.738051]
std: [1.010529, 0.527447, 0.621718, 2.831995, 0.278077, 1.853372, 0.601163, 1.023474]
pca: [[0.261019, 0.153602, -0.155824, 0.766546, -0.237714, 0.143729, 0.024389, 0.467591, 0.000000, 0.000000], [-0.050282, -0.317282, 0.676406, -0.046479, -0.065347, -0.123218, -0.451785, 0.462121, 0.000000, 0.000000], [-0.157933, -0.256821, 0.139392, -0.203392, -0.051299, 0.684647, 0.542421, 0.287591, 0.000000, 0.000000], [0.765901, 0.338155, 0.151240, -0.443105, -0.197788, -0.041530, 0.135823, 0.143311, 0.000000, 0.000000], [-0.006382, 0.221717, 0.192843, 0.108028, 0.778061, -0.280588, 0.373236, 0.280230, 0.000000, 0.000000], [0.498542, -0.321671, 0.123320, 0.221454, 0.442840, 0.423098, -0.242856, -0.386828, 0.000000, 0.000000], [0.098407, -0.272044, -0.647592, -0.316589, 0.263829, 0.019499, -0.307553, 0.481798, 0.000000, 0.000000], [-0.243978, 0.684686, 0.064177, -0.107683, 0.162412, 0.485357, -0.435607, 0.065292, 0.000000, 0.000000]]
fourier: [[17.778741, 17.888475, 18.466439, 18.819196, 71.345103], [8.739142, 9.801679, 10.124989, 10.416458, 85.767337], [10.403114, 10.633749, 10.738195, 10.804024, 75.923233], [47.043406, 48.667930, 48.887098, 52.167778, 303.167778], [4.214249, 4.496497, 4.521776, 4.861700, 32.832576], [28.285052, 29.841559, 31.969848, 37.013981, 212.860007], [9.746642, 9.893038, 10.361105, 10.378097, 11.430125], [16.202392, 16.826857, 17.194080, 20.198918, 156.424608]]
### 4
mean: [-1.885595, 1.555325, 2.024086, 3.832253, -0.528678, 2.350462, 0.817806, 1.289292]
std: [1.488943, 0.434147, 2.157572, 3.070159, 0.257570, 2.700765, 1.069227, 1.561456]
pca: [[-0.285004, -0.218314, 0.114802, -0.336515, -0.226914, 0.442298, 0.464090, 0.531218, 0.000000, 0.000000], [0.049470, 0.700456, 0.354018, 0.134541, 0.070312, -0.247851, 0.016836, 0.544818, 0.000000, 0.000000], [0.413702, -0.044425, -0.430317, -0.273983, 0.590429, -0.184339, 0.382154, 0.194959, 0.000000, 0.000000], [0.588118, 0.416424, -0.054576, -0.323577, -0.367861, 0.429166, 0.011539, -0.231060, 0.000000, 0.000000], [-0.043345, -0.064458, 0.464679, -0.511604, 0.505689, 0.219573, -0.459097, -0.039984, 0.000000, 0.000000], [0.516563, -0.480834, 0.095446, 0.006381, -0.303865, -0.230457, -0.376202, 0.453694, 0.000000, 0.000000], [0.204774, -0.066196, -0.015297, 0.635420, 0.330104, 0.636936, -0.080116, 0.169169, 0.000000, 0.000000], [0.297731, -0.215823, 0.669381, 0.152808, 0.051127, -0.133296, 0.528626, -0.305824, 0.000000, 0.000000]]
fourier: [[24.028374, 25.160510, 25.226091, 27.978414, 169.703563], [6.968835, 7.111498, 8.239328, 9.165024, 139.979247], [34.260644, 36.006305, 37.322350, 40.297730, 182.167708], [49.430137, 50.825545, 53.052960, 58.188128, 344.902764], [4.047589, 4.416571, 4.734424, 5.978285, 47.581047], [44.854100, 45.357946, 47.570657, 49.579209, 211.541581], [17.712433, 18.319071, 18.587389, 19.206989, 73.602558], [25.425852, 25.933109, 26.169856, 29.270586, 116.036264]]
### 6
mean: [1.273856, 2.023908, 1.009648, 0.807374, 5.093085, 3.397214, 3.331952, -0.954214]
std: [0.750580, 2.353096, 1.520781, 0.719724, 4.903355, 3.750397, 3.366105, 0.261686]
pca: [[-0.072498, 0.697937, -0.310645, 0.079636, 0.238800, -0.501825, -0.256184, -0.174072, 0.000000, 0.000000], [0.308518, -0.220733, -0.089968, 0.554533, 0.156607, -0.249789, 0.519394, -0.428722, 0.000000, 0.000000], [0.198388, -0.246980, -0.309097, -0.023503, 0.799771, 0.138979, -0.130845, 0.357045, 0.000000, 0.000000], [-0.076850, 0.575657, 0.177436, 0.326748, 0.155977, 0.596211, 0.344660, 0.160867, 0.000000, 0.000000], [0.644144, 0.172494, 0.679081, -0.139855, 0.135688, -0.192739, -0.120725, 0.066933, 0.000000, 0.000000], [0.492854, 0.050868, -0.323542, 0.097149, -0.212910, 0.482924, -0.457161, -0.390957, 0.000000, 0.000000], [0.442071, 0.163080, -0.440713, -0.158158, -0.378237, -0.135185, 0.369724, 0.510590, 0.000000, 0.000000], [-0.032319, -0.113331, 0.091228, 0.724447, -0.218359, -0.149517, -0.410393, 0.463149, 0.000000, 0.000000]]
fourier: [[13.777756, 14.461276, 14.701110, 15.864467, 114.647040], [38.468620, 39.798622, 40.872387, 42.014823, 182.151705], [25.400776, 25.489943, 25.607332, 28.154430, 90.868289], [12.649234, 12.884879, 14.199526, 15.546670, 72.663630], [79.713600, 81.987717, 82.235555, 88.622452, 458.377639], [62.285222, 63.314659, 63.613372, 67.009876, 305.749306], [55.557683, 56.132066, 57.047469, 60.606986, 299.875716], [4.377997, 4.387754, 4.620783, 4.711057, 85.879279]]
### 8
mean: [-1.804587, 1.962005, 4.430458, 3.696651, 5.452668, 3.585840, -2.873321, 2.623185]
std: [1.461585, 0.454467, 4.725173, 4.945606, 6.984809, 4.359214, 1.521653, 3.204279]
pca: [[-0.127889, -0.253143, 0.290517, 0.424954, 0.235227, 0.622519, 0.390644, -0.243132, 0.000000, 0.000000], [-0.005972, 0.763379, 0.183436, -0.050638, 0.244371, 0.223965, 0.205190, 0.478563, 0.000000, 0.000000], [0.415450, 0.317374, 0.587828, 0.041802, -0.404006, -0.077476, -0.057311, -0.454839, 0.000000, 0.000000], [0.435120, -0.151363, -0.200053, -0.160123, -0.422008, 0.637926, -0.202073, 0.310202, 0.000000, 0.000000], [0.614495, -0.255812, 0.007625, -0.250086, 0.250044, -0.238840, 0.601791, 0.112410, 0.000000, 0.000000], [0.383551, 0.037427, -0.158210, 0.825206, 0.084925, -0.214213, -0.194707, 0.233412, 0.000000, 0.000000], [-0.132166, -0.403072, 0.679836, -0.026464, -0.021028, -0.141719, -0.204903, 0.542841, 0.000000, 0.000000], [0.281952, -0.015038, 0.095514, -0.212730, 0.688087, 0.162302, -0.564914, -0.216718, 0.000000, 0.000000]]
fourier: [[23.389113, 23.756328, 24.478572, 26.690090, 162.412806], [6.275013, 6.613407, 8.321018, 9.253898, 176.580419], [76.807556, 79.333222, 81.546656, 83.065057, 398.741218], [81.356094, 81.651639, 84.338335, 88.920997, 332.698581], [114.905826, 115.741761, 118.648456, 125.637258, 490.740094], [71.270829, 72.088667, 74.790541, 77.420172, 322.725597], [23.940502, 24.317126, 25.063725, 28.554435, 258.598847], [52.898784, 53.382929, 55.261309, 56.879738, 236.086657]]
### 10
mean: [-5.343578]
std: [8.112105]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[131.351448, 131.783997, 137.389714, 150.596092, 480.922011]]
## 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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[
0.285194,
0.129059,
0.360987,
0.421379,
-0.073596
],
[
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-0.011179,
0.00915
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[
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0.218131,
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0.11509,
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[
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0.702088,
0.523586,
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[
-0.197128,
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[
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[
-0.601019,
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[
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-0.408205,
-0.057305
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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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],
[
0.247593,
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0.608792,
0.214878,
0.120624,
-0.252541,
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0.077366
],
[
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0.39521,
0.090189,
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0.468006,
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0.097746
],
[
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0.016331,
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0.288371,
0.150809
]
],
"network.2.bias": [
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0.006497,
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],
"network.4.weight": [
[
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[
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0.413474,
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[
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0.633217,
0.058857,
0.587919,
0.493672,
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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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0.505684,
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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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-0.286401
],
[
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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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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.253345, 1.092694, 2.024124, 2.372878, -0.929876, -2.113463, -0.742020, 0.875907]
std: [1.447930, 1.493248, 1.457981, 1.835691, 1.371974, 1.550009, 1.324072, 1.641188]
pca: [[0.386403, -0.157632, 0.148756, 0.441246, -0.511755, 0.228485, -0.137828, 0.525284, 0.000000, 0.000000], [0.398573, -0.041686, -0.343920, -0.427517, 0.303018, -0.322800, -0.282699, 0.512261, 0.000000, 0.000000], [0.388786, -0.038501, 0.354753, 0.002870, 0.527097, 0.546601, -0.318634, -0.208263, 0.000000, 0.000000], [0.470573, 0.412091, -0.169937, 0.459755, 0.000643, -0.430402, -0.131735, -0.407294, 0.000000, 0.000000], [-0.199032, 0.385117, 0.600478, -0.256652, -0.231864, -0.266689, -0.506510, 0.064729, 0.000000, 0.000000], [-0.288159, 0.451332, -0.552794, 0.050266, -0.098404, 0.466594, -0.418255, 0.053163, 0.000000, 0.000000], [-0.306092, 0.290035, 0.167464, 0.481805, 0.539721, -0.112650, 0.168676, 0.479131, 0.000000, 0.000000], [0.320777, 0.604960, 0.103261, -0.332588, -0.117096, 0.240943, 0.567681, 0.125781, 0.000000, 0.000000]]
fourier: [[23.290321, 23.667221, 26.842089, 27.055690, 202.801088], [22.248549, 22.629354, 25.584711, 26.136510, 98.342475], [24.068930, 25.189353, 27.195804, 30.262625, 182.171216], [28.029927, 31.429748, 31.841161, 36.855311, 213.558967], [23.170604, 24.708457, 26.377287, 31.346386, 83.688844], [24.575578, 24.781595, 29.621499, 30.729263, 190.211728], [19.846579, 21.316330, 22.600996, 24.974597, 66.781802], [26.835706, 27.612953, 30.732857, 36.198434, 78.831609]]
### 2
mean: [0.792723, 0.952970, -0.843591, 3.368531, 0.364806, 2.365111, 0.127001, -1.738051]
std: [1.010529, 0.527447, 0.621718, 2.831995, 0.278077, 1.853372, 0.601163, 1.023474]
pca: [[0.261019, 0.153602, -0.155824, 0.766546, -0.237714, 0.143729, 0.024389, 0.467591, 0.000000, 0.000000], [-0.050282, -0.317282, 0.676406, -0.046479, -0.065347, -0.123218, -0.451785, 0.462121, 0.000000, 0.000000], [-0.157933, -0.256821, 0.139392, -0.203392, -0.051299, 0.684647, 0.542421, 0.287591, 0.000000, 0.000000], [0.765901, 0.338155, 0.151240, -0.443105, -0.197788, -0.041530, 0.135823, 0.143311, 0.000000, 0.000000], [-0.006382, 0.221717, 0.192843, 0.108028, 0.778061, -0.280588, 0.373236, 0.280230, 0.000000, 0.000000], [0.498542, -0.321671, 0.123320, 0.221454, 0.442840, 0.423098, -0.242856, -0.386828, 0.000000, 0.000000], [0.098407, -0.272044, -0.647592, -0.316589, 0.263829, 0.019499, -0.307553, 0.481798, 0.000000, 0.000000], [-0.243978, 0.684686, 0.064177, -0.107683, 0.162412, 0.485357, -0.435607, 0.065292, 0.000000, 0.000000]]
fourier: [[17.778741, 17.888475, 18.466439, 18.819196, 71.345103], [8.739142, 9.801679, 10.124989, 10.416458, 85.767337], [10.403114, 10.633749, 10.738195, 10.804024, 75.923233], [47.043406, 48.667930, 48.887098, 52.167778, 303.167778], [4.214249, 4.496497, 4.521776, 4.861700, 32.832576], [28.285052, 29.841559, 31.969848, 37.013981, 212.860007], [9.746642, 9.893038, 10.361105, 10.378097, 11.430125], [16.202392, 16.826857, 17.194080, 20.198918, 156.424608]]
### 4
mean: [-1.885595, 1.555325, 2.024086, 3.832253, -0.528678, 2.350462, 0.817806, 1.289292]
std: [1.488943, 0.434147, 2.157572, 3.070159, 0.257570, 2.700765, 1.069227, 1.561456]
pca: [[-0.285004, -0.218314, 0.114802, -0.336515, -0.226914, 0.442298, 0.464090, 0.531218, 0.000000, 0.000000], [0.049470, 0.700456, 0.354018, 0.134541, 0.070312, -0.247851, 0.016836, 0.544818, 0.000000, 0.000000], [0.413702, -0.044425, -0.430317, -0.273983, 0.590429, -0.184339, 0.382154, 0.194959, 0.000000, 0.000000], [0.588118, 0.416424, -0.054576, -0.323577, -0.367861, 0.429166, 0.011539, -0.231060, 0.000000, 0.000000], [-0.043345, -0.064458, 0.464679, -0.511604, 0.505689, 0.219573, -0.459097, -0.039984, 0.000000, 0.000000], [0.516563, -0.480834, 0.095446, 0.006381, -0.303865, -0.230457, -0.376202, 0.453694, 0.000000, 0.000000], [0.204774, -0.066196, -0.015297, 0.635420, 0.330104, 0.636936, -0.080116, 0.169169, 0.000000, 0.000000], [0.297731, -0.215823, 0.669381, 0.152808, 0.051127, -0.133296, 0.528626, -0.305824, 0.000000, 0.000000]]
fourier: [[24.028374, 25.160510, 25.226091, 27.978414, 169.703563], [6.968835, 7.111498, 8.239328, 9.165024, 139.979247], [34.260644, 36.006305, 37.322350, 40.297730, 182.167708], [49.430137, 50.825545, 53.052960, 58.188128, 344.902764], [4.047589, 4.416571, 4.734424, 5.978285, 47.581047], [44.854100, 45.357946, 47.570657, 49.579209, 211.541581], [17.712433, 18.319071, 18.587389, 19.206989, 73.602558], [25.425852, 25.933109, 26.169856, 29.270586, 116.036264]]
### 6
mean: [1.273856, 2.023908, 1.009648, 0.807374, 5.093085, 3.397214, 3.331952, -0.954214]
std: [0.750580, 2.353096, 1.520781, 0.719724, 4.903355, 3.750397, 3.366105, 0.261686]
pca: [[-0.072498, 0.697937, -0.310645, 0.079636, 0.238800, -0.501825, -0.256184, -0.174072, 0.000000, 0.000000], [0.308518, -0.220733, -0.089968, 0.554533, 0.156607, -0.249789, 0.519394, -0.428722, 0.000000, 0.000000], [0.198388, -0.246980, -0.309097, -0.023503, 0.799771, 0.138979, -0.130845, 0.357045, 0.000000, 0.000000], [-0.076850, 0.575657, 0.177436, 0.326748, 0.155977, 0.596211, 0.344660, 0.160867, 0.000000, 0.000000], [0.644144, 0.172494, 0.679081, -0.139855, 0.135688, -0.192739, -0.120725, 0.066933, 0.000000, 0.000000], [0.492854, 0.050868, -0.323542, 0.097149, -0.212910, 0.482924, -0.457161, -0.390957, 0.000000, 0.000000], [0.442071, 0.163080, -0.440713, -0.158158, -0.378237, -0.135185, 0.369724, 0.510590, 0.000000, 0.000000], [-0.032319, -0.113331, 0.091228, 0.724447, -0.218359, -0.149517, -0.410393, 0.463149, 0.000000, 0.000000]]
fourier: [[13.777756, 14.461276, 14.701110, 15.864467, 114.647040], [38.468620, 39.798622, 40.872387, 42.014823, 182.151705], [25.400776, 25.489943, 25.607332, 28.154430, 90.868289], [12.649234, 12.884879, 14.199526, 15.546670, 72.663630], [79.713600, 81.987717, 82.235555, 88.622452, 458.377639], [62.285222, 63.314659, 63.613372, 67.009876, 305.749306], [55.557683, 56.132066, 57.047469, 60.606986, 299.875716], [4.377997, 4.387754, 4.620783, 4.711057, 85.879279]]
### 8
mean: [-1.804587, 1.962005, 4.430458, 3.696651, 5.452668, 3.585840, -2.873321, 2.623185]
std: [1.461585, 0.454467, 4.725173, 4.945606, 6.984809, 4.359214, 1.521653, 3.204279]
pca: [[-0.127889, -0.253143, 0.290517, 0.424954, 0.235227, 0.622519, 0.390644, -0.243132, 0.000000, 0.000000], [-0.005972, 0.763379, 0.183436, -0.050638, 0.244371, 0.223965, 0.205190, 0.478563, 0.000000, 0.000000], [0.415450, 0.317374, 0.587828, 0.041802, -0.404006, -0.077476, -0.057311, -0.454839, 0.000000, 0.000000], [0.435120, -0.151363, -0.200053, -0.160123, -0.422008, 0.637926, -0.202073, 0.310202, 0.000000, 0.000000], [0.614495, -0.255812, 0.007625, -0.250086, 0.250044, -0.238840, 0.601791, 0.112410, 0.000000, 0.000000], [0.383551, 0.037427, -0.158210, 0.825206, 0.084925, -0.214213, -0.194707, 0.233412, 0.000000, 0.000000], [-0.132166, -0.403072, 0.679836, -0.026464, -0.021028, -0.141719, -0.204903, 0.542841, 0.000000, 0.000000], [0.281952, -0.015038, 0.095514, -0.212730, 0.688087, 0.162302, -0.564914, -0.216718, 0.000000, 0.000000]]
fourier: [[23.389113, 23.756328, 24.478572, 26.690090, 162.412806], [6.275013, 6.613407, 8.321018, 9.253898, 176.580419], [76.807556, 79.333222, 81.546656, 83.065057, 398.741218], [81.356094, 81.651639, 84.338335, 88.920997, 332.698581], [114.905826, 115.741761, 118.648456, 125.637258, 490.740094], [71.270829, 72.088667, 74.790541, 77.420172, 322.725597], [23.940502, 24.317126, 25.063725, 28.554435, 258.598847], [52.898784, 53.382929, 55.261309, 56.879738, 236.086657]]
### 10
mean: [-5.343578]
std: [8.112105]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[131.351448, 131.783997, 137.389714, 150.596092, 480.922011]]
## 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": 0.6916828155517578, "train_acc": 0.5, "val_loss": 0.6677452921867371, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805886030197144, "train_acc": 0.525, "val_loss": 0.6251869797706604, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6616399884223938, "train_acc": 0.515, "val_loss": 0.558866024017334, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5983278155326843, "train_acc": 0.705, "val_loss": 0.4557141959667206, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.531993955373764, "train_acc": 0.735, "val_loss": 0.3820437490940094, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.46085213124752045, "train_acc": 0.78, "val_loss": 0.35007452964782715, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3725697249174118, "train_acc": 0.85, "val_loss": 0.3042234480381012, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3063964694738388, "train_acc": 0.93, "val_loss": 0.23475059866905212, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22855738550424576, "train_acc": 0.945, "val_loss": 0.19105108082294464, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18963181972503662, "train_acc": 0.95, "val_loss": 0.16774949431419373, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.15748809278011322, "train_acc": 0.95, "val_loss": 0.1621870994567871, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.13314613699913025, "train_acc": 0.96, "val_loss": 0.18304292857646942, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6677452921867371, "final_val_loss": 0.6251869797706604, "initial_val_acc": 0.66, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.558866024017334, "final_val_loss": 0.18304292857646942, "initial_val_acc": 0.8, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
9,936
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.74, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6734, "learning_rate": 0.08491908493739747, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-4.380028, -3.198138, 0.727719, -2.349722, -3.446766, -0.078116, -2.222159]
std: [2.552599, 2.364728, 3.212005, 1.702194, 2.135516, 1.198810, 1.513843]
pca: [[0.596569, -0.052441, -0.147153, -0.016589, -0.360477, 0.652354, -0.252815, 0.000000, 0.000000, 0.000000], [0.447401, 0.260138, 0.670596, -0.448806, 0.013654, -0.272411, -0.081488, 0.000000, 0.000000, 0.000000], [0.012421, 0.902431, -0.220597, 0.294801, -0.127386, -0.108744, -0.147787, 0.000000, 0.000000, 0.000000], [0.317918, -0.129815, -0.603144, -0.309951, 0.269438, -0.446461, -0.387685, 0.000000, 0.000000, 0.000000], [0.475185, -0.072695, 0.126380, 0.620040, 0.588845, -0.013826, 0.146845, 0.000000, 0.000000, 0.000000], [0.103190, 0.267073, -0.278528, -0.447417, 0.319415, 0.290483, 0.673690, 0.000000, 0.000000, 0.000000], [0.325979, -0.147419, -0.150502, 0.175182, -0.576438, -0.452220, 0.530926, 0.000000, 0.000000, 0.000000]]
fourier: [[37.745885, 44.118697, 45.899759, 50.367745, 394.202499], [36.830419, 39.122605, 43.202815, 52.814971, 287.832419], [47.600394, 51.669385, 62.751398, 65.494708, 66.449711], [25.176360, 27.555770, 31.783206, 35.145269, 211.475001], [34.242089, 35.620000, 36.718556, 40.431063, 310.208910], [17.347675, 18.648201, 20.683367, 21.323529, 26.056646], [23.699316, 25.614982, 27.618583, 27.789198, 199.994324]]
### 2
mean: [-0.294267, 1.239145, -0.458809, 0.971992, 1.115375, 0.852667, -0.167292]
std: [0.285803, 1.654615, 0.151289, 1.234691, 1.235436, 1.314250, 0.208841]
pca: [[-0.103304, 0.090241, -0.432291, 0.357107, 0.564095, -0.589490, -0.032906, 0.000000, 0.000000, 0.000000], [0.599497, -0.266161, 0.026084, -0.560799, 0.488594, -0.030286, -0.122250, 0.000000, 0.000000, 0.000000], [-0.051666, -0.211039, -0.307682, 0.341768, 0.338396, 0.747759, -0.260124, 0.000000, 0.000000, 0.000000], [0.447630, -0.076950, -0.433483, 0.161298, -0.194203, 0.098813, 0.729591, 0.000000, 0.000000, 0.000000], [0.447056, 0.325745, -0.390728, 0.065076, -0.427973, -0.079143, -0.589664, 0.000000, 0.000000, 0.000000], [0.476455, 0.089811, 0.613743, 0.609432, 0.125315, -0.029853, -0.015532, 0.000000, 0.000000, 0.000000], [0.004610, 0.869701, 0.022789, -0.198783, 0.303284, 0.274814, 0.189895, 0.000000, 0.000000, 0.000000]]
fourier: [[3.915587, 4.748393, 5.650949, 5.657788, 26.484069], [22.757205, 27.474368, 32.799410, 32.840102, 111.523037], [2.433078, 2.434099, 2.763039, 2.881309, 41.292813], [17.044453, 20.529788, 24.469036, 24.518577, 87.479313], [17.208010, 20.590068, 24.388987, 24.450614, 100.383716], [18.167851, 22.004576, 25.953222, 26.082374, 76.740068], [3.101646, 4.040034, 4.075550, 4.791692, 15.056322]]
### 4
mean: [-1.227148, 2.411205, -1.616837, -0.401901, 1.247392, -2.204559, -1.838536]
std: [1.167736, 2.989050, 2.049404, 0.288469, 1.808275, 2.301001, 2.190193]
pca: [[-0.220849, -0.443638, -0.087607, 0.284961, -0.232613, 0.719209, 0.306861, 0.000000, 0.000000, 0.000000], [0.565491, -0.341191, 0.226427, 0.135147, 0.357682, -0.192000, 0.573998, 0.000000, 0.000000, 0.000000], [-0.387647, 0.621954, 0.177912, -0.058997, 0.262371, 0.146678, 0.580877, 0.000000, 0.000000, 0.000000], [-0.054467, -0.234926, -0.172051, -0.595145, 0.646329, 0.334321, -0.168913, 0.000000, 0.000000, 0.000000], [0.342095, 0.223645, 0.706821, 0.042491, 0.008673, 0.461779, -0.343857, 0.000000, 0.000000, 0.000000], [-0.435297, -0.408900, 0.591552, -0.397653, -0.228081, -0.271584, 0.097348, 0.000000, 0.000000, 0.000000], [-0.414363, -0.165956, 0.173986, 0.618806, 0.528469, -0.159974, -0.287575, 0.000000, 0.000000, 0.000000]]
fourier: [[16.059215, 19.588721, 22.750586, 23.008466, 110.443296], [41.198888, 49.985895, 58.259372, 59.031430, 217.008410], [28.282898, 34.188297, 39.988899, 40.512009, 145.515341], [3.975592, 4.906922, 5.627600, 5.658284, 36.171092], [24.871552, 30.337713, 35.156474, 35.653091, 112.265246], [31.661945, 38.554666, 45.010237, 45.419500, 198.410280], [30.194867, 36.631976, 42.714687, 43.235585, 165.468197]]
### 6
mean: [2.160875, -1.728549, -1.129310, -0.978942, -0.721600, 2.486444, -0.625910]
std: [2.898862, 1.580139, 1.425556, 1.377066, 0.824971, 3.211793, 0.162416]
pca: [[0.570169, 0.097158, 0.007057, 0.379290, -0.022603, -0.232953, 0.683213, 0.000000, 0.000000, 0.000000], [-0.310784, -0.257567, 0.634154, -0.226633, -0.205898, 0.289661, 0.507209, 0.000000, 0.000000, 0.000000], [-0.280388, 0.028768, -0.069799, -0.414807, 0.604698, -0.538028, 0.297463, 0.000000, 0.000000, 0.000000], [-0.270817, -0.483029, 0.141027, 0.700851, 0.416373, -0.025550, -0.090778, 0.000000, 0.000000, 0.000000], [-0.162177, 0.580009, 0.580985, 0.245639, -0.119254, -0.412728, -0.234180, 0.000000, 0.000000, 0.000000], [0.631715, -0.232459, 0.485026, -0.269861, 0.361501, 0.028668, -0.327595, 0.000000, 0.000000, 0.000000], [-0.031564, 0.547382, 0.015623, 0.091409, 0.522652, 0.632879, 0.130674, 0.000000, 0.000000, 0.000000]]
fourier: [[39.943687, 48.529088, 56.084778, 57.143435, 194.478729], [21.784808, 26.443841, 30.654999, 31.169934, 155.569437], [19.639106, 23.868350, 27.547286, 28.092305, 101.637878], [18.981747, 23.028536, 26.845224, 27.196110, 88.104819], [11.706863, 13.844190, 15.654177, 16.176372, 64.943957], [44.246492, 53.785408, 61.981895, 63.270541, 223.779919], [2.624855, 2.738091, 2.852178, 3.099461, 56.331922]]
### 8
mean: [-2.380668, -0.403189, 2.677269, -2.208166, -1.851473, -0.774190, -0.694623]
std: [3.353942, 0.380127, 3.534190, 3.347468, 2.328402, 0.482164, 0.514800]
pca: [[-0.523750, 0.121476, 0.696337, -0.245970, -0.114340, -0.138099, -0.365237, 0.000000, 0.000000, 0.000000], [-0.059330, 0.383942, 0.055753, 0.294078, 0.585034, -0.622277, 0.173163, 0.000000, 0.000000, 0.000000], [0.551895, -0.337530, 0.593080, 0.466063, 0.035949, 0.017211, -0.104585, 0.000000, 0.000000, 0.000000], [-0.522731, -0.589621, 0.103710, 0.164690, 0.183816, 0.097853, 0.545763, 0.000000, 0.000000, 0.000000], [-0.363602, -0.052011, -0.310356, 0.700964, -0.229012, -0.040770, -0.472554, 0.000000, 0.000000, 0.000000], [-0.075237, 0.600170, 0.230502, 0.341692, -0.301571, 0.403703, 0.458617, 0.000000, 0.000000, 0.000000], [-0.080389, 0.115512, 0.007404, 0.023985, 0.682781, 0.647449, -0.306896, 0.000000, 0.000000, 0.000000]]
fourier: [[46.620908, 56.226028, 64.203796, 65.994477, 214.260124], [5.480009, 6.387681, 7.132078, 7.452001, 36.286988], [49.235817, 59.255971, 67.580062, 69.524198, 240.954206], [46.153848, 56.085883, 64.364715, 65.899625, 198.734948], [32.296191, 39.027293, 44.631253, 45.816384, 166.632535], [7.007083, 8.107335, 8.997872, 9.447289, 69.677122], [7.207933, 8.634226, 9.817923, 10.122428, 62.516073]]
### 10
mean: [-0.501315, -0.992433, -0.947669, -1.011964, -1.430353, 0.456539, -0.928914]
std: [0.399060, 0.937671, 2.030297, 1.101113, 0.974559, 0.830504, 1.127135]
pca: [[0.129536, 0.501460, 0.350782, 0.578406, -0.353588, 0.348733, -0.165888, 0.000000, 0.000000, 0.000000], [0.307464, 0.454917, 0.054335, 0.152186, 0.501911, -0.290829, 0.579575, 0.000000, 0.000000, 0.000000], [0.666608, -0.496592, -0.274720, 0.433116, 0.140590, 0.110879, -0.117939, 0.000000, 0.000000, 0.000000], [0.361678, -0.070880, 0.255311, -0.505718, -0.094445, 0.630066, 0.370577, 0.000000, 0.000000, 0.000000], [0.319411, 0.531818, -0.488984, -0.367542, 0.081632, 0.073258, -0.478460, 0.000000, 0.000000, 0.000000], [-0.272797, -0.036958, 0.225941, 0.077113, 0.765595, 0.424416, -0.317736, 0.000000, 0.000000, 0.000000], [0.370225, -0.075928, 0.665726, -0.240650, 0.039707, -0.446129, -0.394281, 0.000000, 0.000000, 0.000000]]
fourier: [[6.547909, 6.552194, 7.026781, 7.572285, 45.118329], [13.835056, 15.635957, 17.487077, 18.280678, 89.318962], [28.093747, 34.347572, 39.590914, 40.306031, 85.290204], [15.217277, 18.556484, 21.260814, 21.772127, 91.076723], [14.510615, 16.237883, 18.093624, 18.969549, 128.731786], [11.469403, 13.970613, 15.928054, 16.383236, 41.088511], [15.575940, 18.992920, 21.770600, 22.285948, 83.602283]]
### 12
mean: [0.224999]
std: [0.314605]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.415128, 5.784059, 6.430986, 6.522586, 20.249873]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.321971
],
[
-0.057904,
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0.005751,
-0.099325,
0.220533,
-0.110577,
-0.252856
]
],
"network.8.bias": [
0.243273,
-0.080728,
-0.109102,
0.393441,
-0.021507,
-0.368527,
-0.284061
],
"network.10.weight": [
[
-0.037927,
-0.193227,
-0.128673,
-0.371136,
-0.232359,
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0.306866
],
[
-0.212879,
-0.149897,
-0.277422,
-0.147896,
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-0.219077,
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],
[
0.334533,
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],
[
0.261596,
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],
[
-0.477688,
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],
[
0.037356,
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],
[
0.393511,
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]
],
"network.10.bias": [
-0.07978,
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-0.584514,
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-0.135273
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"network.12.weight": [
[
-0.055565,
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-0.216734,
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],
"network.12.bias": [
0.298595
]
}
## Activation Signature
### 0
mean: [-4.380028, -3.198138, 0.727719, -2.349722, -3.446766, -0.078116, -2.222159]
std: [2.552599, 2.364728, 3.212005, 1.702194, 2.135516, 1.198810, 1.513843]
pca: [[0.596569, -0.052441, -0.147153, -0.016589, -0.360477, 0.652354, -0.252815, 0.000000, 0.000000, 0.000000], [0.447401, 0.260138, 0.670596, -0.448806, 0.013654, -0.272411, -0.081488, 0.000000, 0.000000, 0.000000], [0.012421, 0.902431, -0.220597, 0.294801, -0.127386, -0.108744, -0.147787, 0.000000, 0.000000, 0.000000], [0.317918, -0.129815, -0.603144, -0.309951, 0.269438, -0.446461, -0.387685, 0.000000, 0.000000, 0.000000], [0.475185, -0.072695, 0.126380, 0.620040, 0.588845, -0.013826, 0.146845, 0.000000, 0.000000, 0.000000], [0.103190, 0.267073, -0.278528, -0.447417, 0.319415, 0.290483, 0.673690, 0.000000, 0.000000, 0.000000], [0.325979, -0.147419, -0.150502, 0.175182, -0.576438, -0.452220, 0.530926, 0.000000, 0.000000, 0.000000]]
fourier: [[37.745885, 44.118697, 45.899759, 50.367745, 394.202499], [36.830419, 39.122605, 43.202815, 52.814971, 287.832419], [47.600394, 51.669385, 62.751398, 65.494708, 66.449711], [25.176360, 27.555770, 31.783206, 35.145269, 211.475001], [34.242089, 35.620000, 36.718556, 40.431063, 310.208910], [17.347675, 18.648201, 20.683367, 21.323529, 26.056646], [23.699316, 25.614982, 27.618583, 27.789198, 199.994324]]
### 2
mean: [-0.294267, 1.239145, -0.458809, 0.971992, 1.115375, 0.852667, -0.167292]
std: [0.285803, 1.654615, 0.151289, 1.234691, 1.235436, 1.314250, 0.208841]
pca: [[-0.103304, 0.090241, -0.432291, 0.357107, 0.564095, -0.589490, -0.032906, 0.000000, 0.000000, 0.000000], [0.599497, -0.266161, 0.026084, -0.560799, 0.488594, -0.030286, -0.122250, 0.000000, 0.000000, 0.000000], [-0.051666, -0.211039, -0.307682, 0.341768, 0.338396, 0.747759, -0.260124, 0.000000, 0.000000, 0.000000], [0.447630, -0.076950, -0.433483, 0.161298, -0.194203, 0.098813, 0.729591, 0.000000, 0.000000, 0.000000], [0.447056, 0.325745, -0.390728, 0.065076, -0.427973, -0.079143, -0.589664, 0.000000, 0.000000, 0.000000], [0.476455, 0.089811, 0.613743, 0.609432, 0.125315, -0.029853, -0.015532, 0.000000, 0.000000, 0.000000], [0.004610, 0.869701, 0.022789, -0.198783, 0.303284, 0.274814, 0.189895, 0.000000, 0.000000, 0.000000]]
fourier: [[3.915587, 4.748393, 5.650949, 5.657788, 26.484069], [22.757205, 27.474368, 32.799410, 32.840102, 111.523037], [2.433078, 2.434099, 2.763039, 2.881309, 41.292813], [17.044453, 20.529788, 24.469036, 24.518577, 87.479313], [17.208010, 20.590068, 24.388987, 24.450614, 100.383716], [18.167851, 22.004576, 25.953222, 26.082374, 76.740068], [3.101646, 4.040034, 4.075550, 4.791692, 15.056322]]
### 4
mean: [-1.227148, 2.411205, -1.616837, -0.401901, 1.247392, -2.204559, -1.838536]
std: [1.167736, 2.989050, 2.049404, 0.288469, 1.808275, 2.301001, 2.190193]
pca: [[-0.220849, -0.443638, -0.087607, 0.284961, -0.232613, 0.719209, 0.306861, 0.000000, 0.000000, 0.000000], [0.565491, -0.341191, 0.226427, 0.135147, 0.357682, -0.192000, 0.573998, 0.000000, 0.000000, 0.000000], [-0.387647, 0.621954, 0.177912, -0.058997, 0.262371, 0.146678, 0.580877, 0.000000, 0.000000, 0.000000], [-0.054467, -0.234926, -0.172051, -0.595145, 0.646329, 0.334321, -0.168913, 0.000000, 0.000000, 0.000000], [0.342095, 0.223645, 0.706821, 0.042491, 0.008673, 0.461779, -0.343857, 0.000000, 0.000000, 0.000000], [-0.435297, -0.408900, 0.591552, -0.397653, -0.228081, -0.271584, 0.097348, 0.000000, 0.000000, 0.000000], [-0.414363, -0.165956, 0.173986, 0.618806, 0.528469, -0.159974, -0.287575, 0.000000, 0.000000, 0.000000]]
fourier: [[16.059215, 19.588721, 22.750586, 23.008466, 110.443296], [41.198888, 49.985895, 58.259372, 59.031430, 217.008410], [28.282898, 34.188297, 39.988899, 40.512009, 145.515341], [3.975592, 4.906922, 5.627600, 5.658284, 36.171092], [24.871552, 30.337713, 35.156474, 35.653091, 112.265246], [31.661945, 38.554666, 45.010237, 45.419500, 198.410280], [30.194867, 36.631976, 42.714687, 43.235585, 165.468197]]
### 6
mean: [2.160875, -1.728549, -1.129310, -0.978942, -0.721600, 2.486444, -0.625910]
std: [2.898862, 1.580139, 1.425556, 1.377066, 0.824971, 3.211793, 0.162416]
pca: [[0.570169, 0.097158, 0.007057, 0.379290, -0.022603, -0.232953, 0.683213, 0.000000, 0.000000, 0.000000], [-0.310784, -0.257567, 0.634154, -0.226633, -0.205898, 0.289661, 0.507209, 0.000000, 0.000000, 0.000000], [-0.280388, 0.028768, -0.069799, -0.414807, 0.604698, -0.538028, 0.297463, 0.000000, 0.000000, 0.000000], [-0.270817, -0.483029, 0.141027, 0.700851, 0.416373, -0.025550, -0.090778, 0.000000, 0.000000, 0.000000], [-0.162177, 0.580009, 0.580985, 0.245639, -0.119254, -0.412728, -0.234180, 0.000000, 0.000000, 0.000000], [0.631715, -0.232459, 0.485026, -0.269861, 0.361501, 0.028668, -0.327595, 0.000000, 0.000000, 0.000000], [-0.031564, 0.547382, 0.015623, 0.091409, 0.522652, 0.632879, 0.130674, 0.000000, 0.000000, 0.000000]]
fourier: [[39.943687, 48.529088, 56.084778, 57.143435, 194.478729], [21.784808, 26.443841, 30.654999, 31.169934, 155.569437], [19.639106, 23.868350, 27.547286, 28.092305, 101.637878], [18.981747, 23.028536, 26.845224, 27.196110, 88.104819], [11.706863, 13.844190, 15.654177, 16.176372, 64.943957], [44.246492, 53.785408, 61.981895, 63.270541, 223.779919], [2.624855, 2.738091, 2.852178, 3.099461, 56.331922]]
### 8
mean: [-2.380668, -0.403189, 2.677269, -2.208166, -1.851473, -0.774190, -0.694623]
std: [3.353942, 0.380127, 3.534190, 3.347468, 2.328402, 0.482164, 0.514800]
pca: [[-0.523750, 0.121476, 0.696337, -0.245970, -0.114340, -0.138099, -0.365237, 0.000000, 0.000000, 0.000000], [-0.059330, 0.383942, 0.055753, 0.294078, 0.585034, -0.622277, 0.173163, 0.000000, 0.000000, 0.000000], [0.551895, -0.337530, 0.593080, 0.466063, 0.035949, 0.017211, -0.104585, 0.000000, 0.000000, 0.000000], [-0.522731, -0.589621, 0.103710, 0.164690, 0.183816, 0.097853, 0.545763, 0.000000, 0.000000, 0.000000], [-0.363602, -0.052011, -0.310356, 0.700964, -0.229012, -0.040770, -0.472554, 0.000000, 0.000000, 0.000000], [-0.075237, 0.600170, 0.230502, 0.341692, -0.301571, 0.403703, 0.458617, 0.000000, 0.000000, 0.000000], [-0.080389, 0.115512, 0.007404, 0.023985, 0.682781, 0.647449, -0.306896, 0.000000, 0.000000, 0.000000]]
fourier: [[46.620908, 56.226028, 64.203796, 65.994477, 214.260124], [5.480009, 6.387681, 7.132078, 7.452001, 36.286988], [49.235817, 59.255971, 67.580062, 69.524198, 240.954206], [46.153848, 56.085883, 64.364715, 65.899625, 198.734948], [32.296191, 39.027293, 44.631253, 45.816384, 166.632535], [7.007083, 8.107335, 8.997872, 9.447289, 69.677122], [7.207933, 8.634226, 9.817923, 10.122428, 62.516073]]
### 10
mean: [-0.501315, -0.992433, -0.947669, -1.011964, -1.430353, 0.456539, -0.928914]
std: [0.399060, 0.937671, 2.030297, 1.101113, 0.974559, 0.830504, 1.127135]
pca: [[0.129536, 0.501460, 0.350782, 0.578406, -0.353588, 0.348733, -0.165888, 0.000000, 0.000000, 0.000000], [0.307464, 0.454917, 0.054335, 0.152186, 0.501911, -0.290829, 0.579575, 0.000000, 0.000000, 0.000000], [0.666608, -0.496592, -0.274720, 0.433116, 0.140590, 0.110879, -0.117939, 0.000000, 0.000000, 0.000000], [0.361678, -0.070880, 0.255311, -0.505718, -0.094445, 0.630066, 0.370577, 0.000000, 0.000000, 0.000000], [0.319411, 0.531818, -0.488984, -0.367542, 0.081632, 0.073258, -0.478460, 0.000000, 0.000000, 0.000000], [-0.272797, -0.036958, 0.225941, 0.077113, 0.765595, 0.424416, -0.317736, 0.000000, 0.000000, 0.000000], [0.370225, -0.075928, 0.665726, -0.240650, 0.039707, -0.446129, -0.394281, 0.000000, 0.000000, 0.000000]]
fourier: [[6.547909, 6.552194, 7.026781, 7.572285, 45.118329], [13.835056, 15.635957, 17.487077, 18.280678, 89.318962], [28.093747, 34.347572, 39.590914, 40.306031, 85.290204], [15.217277, 18.556484, 21.260814, 21.772127, 91.076723], [14.510615, 16.237883, 18.093624, 18.969549, 128.731786], [11.469403, 13.970613, 15.928054, 16.383236, 41.088511], [15.575940, 18.992920, 21.770600, 22.285948, 83.602283]]
### 12
mean: [0.224999]
std: [0.314605]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.415128, 5.784059, 6.430986, 6.522586, 20.249873]]
## 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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"fourier": [17.3476748829017, 18.648200588095037, 20.683367419305487, 21.32352910065146, 26.056646092927217]}, "6": {"mean": -2.2221591472625732, "std": 1.513843297958374, "pca": [0.32597875595092773, -0.14741916954517365, -0.15050216019153595, 0.1751822531223297, -0.5764381289482117, -0.45221951603889465, 0.5309258699417114, 0.0, 0.0, 0.0], "fourier": [23.69931622404521, 25.614982333975075, 27.618582788853125, 27.78919810166414, 199.99432431906462]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.2942674458026886, "std": 0.28580325841903687, "pca": [-0.1033036932349205, 0.09024056792259216, -0.432291179895401, 0.3571072220802307, 0.5640949010848999, -0.5894895195960999, -0.03290565311908722, 0.0, 0.0, 0.0], "fourier": [3.915586721107937, 4.748392612811722, 5.650948926566481, 5.657787859834851, 26.48406945168972]}, "1": {"mean": 1.2391449213027954, "std": 1.6546151638031006, "pca": 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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": [[-0.221499, -0.463992, -0.518393, -0.651991, -0.346209], [-0.269293, -0.380372, -0.687453, 0.156271, -0.591821], [-1.038363, 0.556731, 0.593214, 0.447283, -1.117247], [-0.013044, -0.529247, 0.059835, -0.497527, -0.190094], [-0.400372, -0.09817, -0.609566, -0.620446, 0.050389], [-0.236568, -0.22765, 0.283503, 0.145668, -0.539592], [-0.034448, -0.194795, -0.334682, -0.538504, -0.034745]], "network.0.bias": [-0.350873, -0.339085, 0.185022, -0.192701, -0.227955, 0.392023, 0.072426], "network.2.weight": [[-0.230844, -0.40028, -0.115586, 0.273183, -0.065199, -0.117628, 0.170206], [-0.093152, 0.264818, 0.705586, -0.089068, 0.200169, 0.514283, 0.005837], [0.080792, -0.010257, -0.085553, 0.190298, 0.198923, 0.070409, 0.045512], [0.148437, 0.582238, 0.54125, 0.295982, 0.338137, 0.313813, 0.132627], [-0.338164, 0.304863, 0.584377, 0.297053, 0.018226, 0.108443, 0.206042], [-0.184064, 0.185079, 0.59155, 0.033324, -0.092891, 0.25688, -0.500998], [-0.11169, -0.241535, 0.100541, 0.039139, -0.117392, -0.440874, 0.198321]], "network.2.bias": [-0.053352, -0.155826, -0.349034, -0.064951, 0.09665, -0.236762, -0.141819], "network.4.weight": [[0.212352, -0.072046, -0.25971, -0.226302, -0.30168, -0.317577, -0.292168], [-0.091971, 0.669405, 0.687109, 0.765936, 0.349846, 0.43732, 0.321414], [-0.222457, -0.655785, -0.142506, -0.399256, -0.264757, -0.150201, -0.011578], [-0.220776, -0.268574, -0.011917, 0.239305, -0.134202, 0.02454, -0.289765], [0.032143, 0.373303, 0.464601, 0.305163, 0.241476, 0.422382, 0.449396], [-0.363668, -0.425756, -0.69024, -0.436324, -0.608776, -0.256824, -0.468823], [-0.356475, -0.406334, 0.150236, -0.311433, -0.519933, -0.412554, -0.219565]], "network.4.bias": [-0.261749, -0.035998, 0.070998, -0.157239, -0.224592, -0.280883, -0.022493], "network.6.weight": [[0.242814, 0.697333, 0.040299, 0.287935, 0.467993, -0.487358, -0.10753], [0.163752, -0.485128, -0.381489, 0.028653, -0.07788, -0.403227, -0.545669], [0.341634, -0.308145, 0.073044, -0.061876, -0.289028, 0.505035, 0.26398], [0.279453, -0.465598, 0.006318, -0.196043, 0.008277, 0.048886, -0.149056], [-0.284335, -0.06386, -0.511699, 0.011434, -0.367604, -0.582253, 0.09182], [-0.001909, 0.65854, -0.019768, 0.203613, 0.713539, -0.235442, -0.214311], [-0.135852, 0.116056, -0.170584, -0.132835, -0.292359, -0.208579, 0.079678]], "network.6.bias": [-0.144122, -0.448239, -0.002985, 0.132966, -0.069863, -0.050466, -0.514106], "network.8.weight": [[-0.67459, 0.072557, 0.253818, -0.117624, 0.27339, -0.448115, 0.188031], [0.02154, 0.351231, 0.095543, -0.289517, 0.252404, -0.141753, -0.162432], [0.531649, -0.23982, 0.098712, 0.330879, -0.218931, 0.634906, 0.190077], [-0.350836, 0.291427, -0.129903, 0.180325, -0.401643, -0.731588, -0.271711], [-0.217006, 0.24011, -0.45158, -0.11073, 0.01594, -0.536009, -0.212949], [-0.120404, 0.009957, -0.370353, -0.367973, 0.013289, -0.047807, -0.321971], [-0.057904, 0.169976, 0.005751, -0.099325, 0.220533, -0.110577, -0.252856]], "network.8.bias": [0.243273, -0.080728, -0.109102, 0.393441, -0.021507, -0.368527, -0.284061], "network.10.weight": [[-0.037927, -0.193227, -0.128673, -0.371136, -0.232359, 0.235628, 0.306866], [-0.212879, -0.149897, -0.277422, -0.147896, -0.005717, -0.219077, 0.248022], [0.334533, 0.371511, -0.545392, 0.585099, -0.023394, -0.145215, 0.376762], [0.261596, 0.262467, -0.303481, 0.093894, 0.108836, 0.3327, -0.048205], [-0.477688, -0.113171, -0.290359, -0.066493, 0.063944, 0.00568, -0.336521], [0.037356, 0.296747, 0.232257, -0.117632, -0.274874, -0.003892, 0.064252], [0.393511, 0.196064, -0.310571, 0.030162, 0.532698, -0.321795, -0.180281]], "network.10.bias": [-0.07978, -0.193156, 0.382043, -0.236072, -0.584514, -0.152796, -0.135273], "network.12.weight": [[-0.055565, 0.08509, -0.552979, -0.216734, 0.148456, 0.201329, 0.07963]], "network.12.bias": [0.298595]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.67665234208107, "train_acc": 0.57, "val_loss": 0.6858517527580261, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6574226915836334, "train_acc": 0.57, "val_loss": 0.6193553805351257, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.8967472910881042, "train_acc": 0.485, "val_loss": 0.6665023565292358, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6344993114471436, "train_acc": 0.585, "val_loss": 0.6561789512634277, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6597881317138672, "train_acc": 0.74, "val_loss": 0.6799820065498352, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6631914973258972, "train_acc": 0.74, "val_loss": 0.6695941686630249, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6271071434020996, "train_acc": 0.775, "val_loss": 0.6842477917671204, "val_acc": 0.74}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6858517527580261, "final_val_loss": 0.6193553805351257, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.6665023565292358, "final_val_loss": 0.6842477917671204, "initial_val_acc": 0.56, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 6}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
9,937
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.42, "improved_accuracy": 0.92, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1050, "learning_rate": 0.040526170972636055, "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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[
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-0.297113,
-0.038581
],
[
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0.09386
],
[
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0.008142
]
],
"network.0.bias": [
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0.33954,
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0.000692
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"network.2.weight": [
[
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0.317996,
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],
[
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0.099404,
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[
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0.772858,
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[
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[
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0.464607,
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0.410159,
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[
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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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[
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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": [
0.032032
]
}
## Activation Signature
### 0
mean: [0.493143, 0.854037, 0.205878, 1.513808, 0.953110, -1.166304, 3.147762, 1.124911]
std: [1.573927, 2.180785, 1.370827, 1.875964, 1.418936, 0.939341, 2.339442, 1.802959]
pca: [[-0.284759, -0.116586, -0.427678, 0.693554, 0.406905, 0.139530, -0.077667, 0.224324, 0.000000, 0.000000], [0.472707, 0.258998, -0.559146, -0.248381, 0.261059, -0.457974, -0.122584, 0.205455, 0.000000, 0.000000], [-0.042639, 0.347991, 0.573047, 0.012887, 0.709328, -0.141913, -0.143332, -0.068600, 0.000000, 0.000000], [-0.435534, -0.164865, -0.357704, -0.412579, 0.333360, -0.004262, 0.193615, -0.579933, 0.000000, 0.000000], [0.280679, 0.404325, -0.117997, -0.082624, 0.156106, 0.690110, 0.483403, 0.051877, 0.000000, 0.000000], [0.119670, -0.331755, 0.160937, 0.137812, 0.130708, -0.405634, 0.791667, 0.149549, 0.000000, 0.000000], [-0.451370, 0.702143, -0.085887, 0.170156, -0.322360, -0.319040, 0.245662, -0.029644, 0.000000, 0.000000], [-0.455101, -0.067119, 0.030185, -0.481798, 0.081435, 0.089759, 0.012067, 0.735190, 0.000000, 0.000000]]
fourier: [[26.678751, 26.784272, 27.579713, 37.118788, 44.382833], [34.160112, 34.552330, 38.254532, 44.627286, 76.863329], [20.279855, 20.313472, 25.101019, 27.669835, 32.963482], [31.431846, 31.613029, 32.402609, 37.896583, 136.242752], [20.979490, 21.355780, 21.795699, 22.707342, 85.779847], [14.459498, 16.036861, 17.953858, 18.318642, 104.967400], [34.588378, 35.310653, 44.944647, 46.520127, 283.298558], [26.835059, 27.663796, 28.999154, 31.511138, 101.242001]]
### 2
mean: [0.592231, 2.250837, 3.552496, -2.518577, 0.199068, 0.682455, -1.788310, 1.124683]
std: [0.963550, 2.540709, 3.377163, 1.469766, 2.025196, 1.356171, 1.093630, 1.369259]
pca: [[0.174475, -0.022516, -0.370289, 0.729732, 0.306279, -0.048478, 0.039331, -0.449138, 0.000000, 0.000000], [0.499195, 0.008787, 0.440025, 0.095438, 0.281134, -0.395189, -0.531655, 0.173577, 0.000000, 0.000000], [0.666615, 0.154544, -0.182051, 0.079076, -0.327835, 0.570481, -0.026295, 0.242342, 0.000000, 0.000000], [-0.189141, -0.569899, 0.176945, 0.029311, 0.368575, 0.619427, -0.295800, 0.015416, 0.000000, 0.000000], [-0.314524, 0.639729, -0.248012, 0.054773, 0.423950, 0.174873, -0.259739, 0.386694, 0.000000, 0.000000], [-0.195230, 0.380790, 0.703189, 0.396990, -0.220462, 0.256820, 0.103918, -0.198622, 0.000000, 0.000000], [-0.177776, -0.308634, 0.000356, 0.523667, -0.187809, -0.179778, 0.186642, 0.704617, 0.000000, 0.000000], [0.267523, 0.035188, 0.220970, -0.128229, 0.565883, 0.058996, 0.717292, 0.153981, 0.000000, 0.000000]]
fourier: [[15.279857, 15.622109, 15.875544, 16.186546, 53.300805], [44.261395, 44.613637, 44.636438, 44.738749, 202.575295], [56.740276, 56.886797, 57.605385, 60.259141, 319.724618], [22.141380, 23.134936, 27.528322, 29.532243, 226.671920], [26.937850, 28.736627, 33.653226, 34.090640, 35.948557], [21.044076, 23.016301, 23.950602, 30.308643, 61.420986], [17.815174, 18.266968, 19.383849, 22.384061, 160.947922], [23.438686, 24.128729, 24.578777, 24.610465, 101.221428]]
### 4
mean: [3.786080, -2.163328, -1.774495, -1.460705, -1.897333, -1.378606, -1.269615, -0.362076]
std: [3.675613, 1.411567, 2.658924, 0.692866, 2.031245, 0.670305, 0.712021, 2.160928]
pca: [[0.666012, 0.160050, -0.133193, 0.493553, -0.005459, 0.330586, -0.300005, -0.264870, 0.000000, 0.000000], [-0.223659, -0.427545, 0.690096, 0.209649, -0.239486, 0.139140, -0.220408, -0.348860, 0.000000, 0.000000], [-0.478685, 0.224064, -0.131873, 0.396076, 0.497806, -0.307603, -0.405530, -0.198759, 0.000000, 0.000000], [-0.001200, -0.445960, -0.056781, 0.438142, 0.047683, 0.029831, -0.137218, 0.764155, 0.000000, 0.000000], [-0.367257, -0.098885, -0.386776, 0.442536, -0.214597, 0.292830, 0.567436, -0.236909, 0.000000, 0.000000], [-0.028986, -0.407735, -0.550949, -0.190892, -0.437326, -0.255139, -0.438271, -0.210937, 0.000000, 0.000000], [-0.061755, -0.400776, -0.177226, -0.342313, 0.572825, 0.577253, -0.097819, -0.126731, 0.000000, 0.000000], [-0.371122, 0.453714, -0.029368, -0.118963, -0.356508, 0.540164, -0.393065, 0.260808, 0.000000, 0.000000]]
fourier: [[62.664086, 64.006464, 64.196393, 64.541503, 340.747143], [23.437323, 26.405275, 26.584604, 27.612858, 194.699474], [41.798463, 41.856974, 47.191493, 48.970177, 159.704554], [11.472147, 11.650403, 12.345724, 12.996416, 131.463453], [34.172070, 34.992666, 35.463305, 35.824746, 170.760012], [9.983469, 10.035476, 10.509350, 10.786305, 124.074511], [11.038754, 11.235660, 11.644237, 11.973285, 114.265358], [31.483503, 32.586797, 37.709070, 38.416485, 40.481473]]
### 6
mean: [2.520852, 0.718690, 1.137083, 0.789145, -0.974510, 1.917394, 0.828319, -1.896137]
std: [2.377686, 0.624046, 0.919783, 0.845979, 0.403008, 1.783222, 1.121152, 2.205945]
pca: [[0.587173, -0.165208, -0.249670, 0.192061, -0.431247, 0.322649, -0.151616, -0.464379, 0.000000, 0.000000], [0.145977, -0.237551, 0.231181, 0.562085, -0.264698, 0.130749, 0.278691, 0.622934, 0.000000, 0.000000], [0.225275, 0.125063, 0.722053, -0.044687, -0.079920, -0.249481, 0.422848, -0.403514, 0.000000, 0.000000], [-0.119840, 0.816162, -0.295628, 0.226869, -0.217670, 0.106920, 0.348062, -0.026328, 0.000000, 0.000000], [-0.061648, -0.370897, -0.329554, -0.358043, 0.038322, 0.216410, 0.755741, -0.048867, 0.000000, 0.000000], [0.437118, 0.282551, 0.217124, -0.285985, 0.420620, 0.596965, -0.042258, 0.255124, 0.000000, 0.000000], [0.277141, -0.044035, -0.247232, 0.505919, 0.695842, -0.256696, 0.160193, -0.168596, 0.000000, 0.000000], [-0.545095, -0.123187, 0.242055, 0.357450, 0.166153, 0.579686, -0.028367, -0.369983, 0.000000, 0.000000]]
fourier: [[37.910733, 39.601458, 40.811736, 41.397097, 226.876637], [9.724846, 9.879233, 9.987180, 10.270985, 64.682089], [14.838473, 15.474975, 16.233198, 17.085828, 102.337499], [12.833310, 13.122408, 14.867759, 15.565836, 71.023082], [6.254569, 6.456969, 6.943892, 7.367998, 87.705877], [30.522852, 30.967927, 31.200572, 31.398535, 172.565436], [18.179304, 18.530860, 19.312144, 19.716430, 74.548702], [37.208535, 37.438536, 38.463458, 38.650480, 170.652286]]
### 8
mean: [-3.168774]
std: [3.395913]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.460287, 55.752963, 58.883257, 60.058437, 285.189698]]
## 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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"network.0.bias": [
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"network.6.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
mean: [0.493143, 0.854037, 0.205878, 1.513808, 0.953110, -1.166304, 3.147762, 1.124911]
std: [1.573927, 2.180785, 1.370827, 1.875964, 1.418936, 0.939341, 2.339442, 1.802959]
pca: [[-0.284759, -0.116586, -0.427678, 0.693554, 0.406905, 0.139530, -0.077667, 0.224324, 0.000000, 0.000000], [0.472707, 0.258998, -0.559146, -0.248381, 0.261059, -0.457974, -0.122584, 0.205455, 0.000000, 0.000000], [-0.042639, 0.347991, 0.573047, 0.012887, 0.709328, -0.141913, -0.143332, -0.068600, 0.000000, 0.000000], [-0.435534, -0.164865, -0.357704, -0.412579, 0.333360, -0.004262, 0.193615, -0.579933, 0.000000, 0.000000], [0.280679, 0.404325, -0.117997, -0.082624, 0.156106, 0.690110, 0.483403, 0.051877, 0.000000, 0.000000], [0.119670, -0.331755, 0.160937, 0.137812, 0.130708, -0.405634, 0.791667, 0.149549, 0.000000, 0.000000], [-0.451370, 0.702143, -0.085887, 0.170156, -0.322360, -0.319040, 0.245662, -0.029644, 0.000000, 0.000000], [-0.455101, -0.067119, 0.030185, -0.481798, 0.081435, 0.089759, 0.012067, 0.735190, 0.000000, 0.000000]]
fourier: [[26.678751, 26.784272, 27.579713, 37.118788, 44.382833], [34.160112, 34.552330, 38.254532, 44.627286, 76.863329], [20.279855, 20.313472, 25.101019, 27.669835, 32.963482], [31.431846, 31.613029, 32.402609, 37.896583, 136.242752], [20.979490, 21.355780, 21.795699, 22.707342, 85.779847], [14.459498, 16.036861, 17.953858, 18.318642, 104.967400], [34.588378, 35.310653, 44.944647, 46.520127, 283.298558], [26.835059, 27.663796, 28.999154, 31.511138, 101.242001]]
### 2
mean: [0.592231, 2.250837, 3.552496, -2.518577, 0.199068, 0.682455, -1.788310, 1.124683]
std: [0.963550, 2.540709, 3.377163, 1.469766, 2.025196, 1.356171, 1.093630, 1.369259]
pca: [[0.174475, -0.022516, -0.370289, 0.729732, 0.306279, -0.048478, 0.039331, -0.449138, 0.000000, 0.000000], [0.499195, 0.008787, 0.440025, 0.095438, 0.281134, -0.395189, -0.531655, 0.173577, 0.000000, 0.000000], [0.666615, 0.154544, -0.182051, 0.079076, -0.327835, 0.570481, -0.026295, 0.242342, 0.000000, 0.000000], [-0.189141, -0.569899, 0.176945, 0.029311, 0.368575, 0.619427, -0.295800, 0.015416, 0.000000, 0.000000], [-0.314524, 0.639729, -0.248012, 0.054773, 0.423950, 0.174873, -0.259739, 0.386694, 0.000000, 0.000000], [-0.195230, 0.380790, 0.703189, 0.396990, -0.220462, 0.256820, 0.103918, -0.198622, 0.000000, 0.000000], [-0.177776, -0.308634, 0.000356, 0.523667, -0.187809, -0.179778, 0.186642, 0.704617, 0.000000, 0.000000], [0.267523, 0.035188, 0.220970, -0.128229, 0.565883, 0.058996, 0.717292, 0.153981, 0.000000, 0.000000]]
fourier: [[15.279857, 15.622109, 15.875544, 16.186546, 53.300805], [44.261395, 44.613637, 44.636438, 44.738749, 202.575295], [56.740276, 56.886797, 57.605385, 60.259141, 319.724618], [22.141380, 23.134936, 27.528322, 29.532243, 226.671920], [26.937850, 28.736627, 33.653226, 34.090640, 35.948557], [21.044076, 23.016301, 23.950602, 30.308643, 61.420986], [17.815174, 18.266968, 19.383849, 22.384061, 160.947922], [23.438686, 24.128729, 24.578777, 24.610465, 101.221428]]
### 4
mean: [3.786080, -2.163328, -1.774495, -1.460705, -1.897333, -1.378606, -1.269615, -0.362076]
std: [3.675613, 1.411567, 2.658924, 0.692866, 2.031245, 0.670305, 0.712021, 2.160928]
pca: [[0.666012, 0.160050, -0.133193, 0.493553, -0.005459, 0.330586, -0.300005, -0.264870, 0.000000, 0.000000], [-0.223659, -0.427545, 0.690096, 0.209649, -0.239486, 0.139140, -0.220408, -0.348860, 0.000000, 0.000000], [-0.478685, 0.224064, -0.131873, 0.396076, 0.497806, -0.307603, -0.405530, -0.198759, 0.000000, 0.000000], [-0.001200, -0.445960, -0.056781, 0.438142, 0.047683, 0.029831, -0.137218, 0.764155, 0.000000, 0.000000], [-0.367257, -0.098885, -0.386776, 0.442536, -0.214597, 0.292830, 0.567436, -0.236909, 0.000000, 0.000000], [-0.028986, -0.407735, -0.550949, -0.190892, -0.437326, -0.255139, -0.438271, -0.210937, 0.000000, 0.000000], [-0.061755, -0.400776, -0.177226, -0.342313, 0.572825, 0.577253, -0.097819, -0.126731, 0.000000, 0.000000], [-0.371122, 0.453714, -0.029368, -0.118963, -0.356508, 0.540164, -0.393065, 0.260808, 0.000000, 0.000000]]
fourier: [[62.664086, 64.006464, 64.196393, 64.541503, 340.747143], [23.437323, 26.405275, 26.584604, 27.612858, 194.699474], [41.798463, 41.856974, 47.191493, 48.970177, 159.704554], [11.472147, 11.650403, 12.345724, 12.996416, 131.463453], [34.172070, 34.992666, 35.463305, 35.824746, 170.760012], [9.983469, 10.035476, 10.509350, 10.786305, 124.074511], [11.038754, 11.235660, 11.644237, 11.973285, 114.265358], [31.483503, 32.586797, 37.709070, 38.416485, 40.481473]]
### 6
mean: [2.520852, 0.718690, 1.137083, 0.789145, -0.974510, 1.917394, 0.828319, -1.896137]
std: [2.377686, 0.624046, 0.919783, 0.845979, 0.403008, 1.783222, 1.121152, 2.205945]
pca: [[0.587173, -0.165208, -0.249670, 0.192061, -0.431247, 0.322649, -0.151616, -0.464379, 0.000000, 0.000000], [0.145977, -0.237551, 0.231181, 0.562085, -0.264698, 0.130749, 0.278691, 0.622934, 0.000000, 0.000000], [0.225275, 0.125063, 0.722053, -0.044687, -0.079920, -0.249481, 0.422848, -0.403514, 0.000000, 0.000000], [-0.119840, 0.816162, -0.295628, 0.226869, -0.217670, 0.106920, 0.348062, -0.026328, 0.000000, 0.000000], [-0.061648, -0.370897, -0.329554, -0.358043, 0.038322, 0.216410, 0.755741, -0.048867, 0.000000, 0.000000], [0.437118, 0.282551, 0.217124, -0.285985, 0.420620, 0.596965, -0.042258, 0.255124, 0.000000, 0.000000], [0.277141, -0.044035, -0.247232, 0.505919, 0.695842, -0.256696, 0.160193, -0.168596, 0.000000, 0.000000], [-0.545095, -0.123187, 0.242055, 0.357450, 0.166153, 0.579686, -0.028367, -0.369983, 0.000000, 0.000000]]
fourier: [[37.910733, 39.601458, 40.811736, 41.397097, 226.876637], [9.724846, 9.879233, 9.987180, 10.270985, 64.682089], [14.838473, 15.474975, 16.233198, 17.085828, 102.337499], [12.833310, 13.122408, 14.867759, 15.565836, 71.023082], [6.254569, 6.456969, 6.943892, 7.367998, 87.705877], [30.522852, 30.967927, 31.200572, 31.398535, 172.565436], [18.179304, 18.530860, 19.312144, 19.716430, 74.548702], [37.208535, 37.438536, 38.463458, 38.650480, 170.652286]]
### 8
mean: [-3.168774]
std: [3.395913]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.460287, 55.752963, 58.883257, 60.058437, 285.189698]]
## 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": 0.6808180510997772, "train_acc": 0.575, "val_loss": 0.7350003123283386, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6806250810623169, "train_acc": 0.575, "val_loss": 0.7017315030097961, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6426303386688232, "train_acc": 0.575, "val_loss": 0.6482076048851013, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6005463004112244, "train_acc": 0.64, "val_loss": 0.4730115532875061, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4928210377693176, "train_acc": 0.79, "val_loss": 0.3419262766838074, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.36877457797527313, "train_acc": 0.87, "val_loss": 0.3331320881843567, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3791108578443527, "train_acc": 0.85, "val_loss": 0.4811747074127197, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3926364928483963, "train_acc": 0.865, "val_loss": 0.3063454031944275, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3324691951274872, "train_acc": 0.88, "val_loss": 0.29851311445236206, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.31919893622398376, "train_acc": 0.88, "val_loss": 0.27559468150138855, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.31467801332473755, "train_acc": 0.885, "val_loss": 0.2666609287261963, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3050488233566284, "train_acc": 0.89, "val_loss": 0.26607877016067505, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3104175478219986, "train_acc": 0.89, "val_loss": 0.26887497305870056, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7350003123283386, "final_val_loss": 0.6482076048851013, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.4730115532875061, "final_val_loss": 0.26887497305870056, "initial_val_acc": 0.88, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.5, "first_improvement_epoch": 2}}
|
9,938
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.74, "improved_accuracy": 0.96, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1122, "learning_rate": 0.09127874586336131, "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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],
[
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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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"network.8.weight": [
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[
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[
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"network.8.bias": [
1.121158,
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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": [
[
1.100011,
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]
],
"network.12.bias": [
-0.3985
]
}
## Activation Signature
### 0
mean: [1.223418, -3.449947, -1.140255, -3.753334, 4.816131]
std: [3.936592, 1.994680, 1.818797, 2.475399, 4.949337]
pca: [[0.506872, 0.687820, -0.350492, -0.303755, -0.234248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186595, 0.468999, -0.147157, 0.309368, 0.792376, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.037076, 0.244659, 0.815456, -0.482038, 0.203566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277406, 0.464018, 0.342344, 0.580825, -0.503166, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.793684, -0.178249, 0.270801, 0.492245, 0.150511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.011908, 71.128074, 73.913545, 95.486807, 110.107666], [32.869074, 33.324792, 38.173980, 39.823493, 310.495276], [29.488962, 30.007932, 31.463545, 34.177413, 102.622942], [37.467564, 41.764085, 45.903284, 49.381391, 337.800037], [80.436311, 82.598725, 84.365919, 89.229515, 433.451779]]
### 2
mean: [-3.991771, -2.910919, -0.857053, -0.590925, 6.223910]
std: [3.537841, 2.559973, 0.589868, 1.717886, 7.080210]
pca: [[-0.415663, 0.316575, -0.001810, -0.188958, 0.831442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299677, 0.685528, 0.133257, 0.588059, -0.276900, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068067, -0.212606, 0.973161, 0.017611, 0.053043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200661, -0.567196, -0.166456, 0.728960, 0.280951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.832178, 0.250836, 0.086544, 0.294597, 0.387665, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.082632, 64.305228, 66.262651, 70.075306, 359.259411], [44.500264, 44.935592, 47.888538, 49.405123, 261.982756], [9.950352, 11.076653, 11.602631, 13.144772, 77.134782], [28.848721, 32.571549, 32.979738, 35.515606, 53.183211], [121.390522, 131.214310, 133.055761, 142.533244, 560.151975]]
### 4
mean: [-1.534086, -1.091868, -1.716347, -2.479246, 4.880518]
std: [1.387796, 2.276316, 1.637559, 2.527472, 6.472836]
pca: [[-0.181129, 0.892795, -0.001830, -0.402973, 0.087855, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298730, -0.231604, 0.476936, -0.214458, 0.763976, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214809, 0.338590, 0.307977, 0.860095, 0.067827, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331729, -0.105439, 0.653655, -0.225477, -0.633036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.849568, 0.153348, 0.500414, -0.031894, 0.057334, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.586937, 25.184204, 26.463414, 27.402781, 138.067734], [38.702752, 42.131226, 42.660736, 46.353993, 98.268117], [27.876574, 30.113484, 30.968001, 32.983646, 154.471246], [42.989834, 46.729603, 47.460854, 51.368994, 223.132106], [110.107985, 119.633597, 121.616121, 131.476934, 439.246627]]
### 6
mean: [-1.124890, -2.054870, -0.939548, -2.060091, 4.342117]
std: [1.248989, 1.915689, 1.398443, 2.194779, 5.817192]
pca: [[-0.184525, 0.063129, 0.177497, -0.263420, 0.927938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282335, 0.763716, 0.095390, -0.505137, -0.269743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206163, 0.523639, -0.291076, 0.749517, 0.191828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324265, -0.060316, 0.875149, 0.327326, -0.134858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.859411, 0.367309, 0.329825, 0.080797, 0.105756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.792159, 22.552082, 24.111371, 25.426732, 101.240140], [32.352915, 34.201368, 37.598688, 38.307031, 184.938314], [23.552195, 24.989364, 27.418831, 28.002180, 84.559280], [36.751634, 39.710580, 42.189279, 44.837880, 185.408182], [97.665031, 105.343435, 111.596551, 119.024075, 390.790476]]
### 8
mean: [-1.739266, -0.853315, -1.096766, -1.825969, -2.563499]
std: [3.588694, 0.863768, 0.904333, 3.556540, 3.198420]
pca: [[0.587434, 0.079934, 0.490263, -0.289354, -0.569605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.141373, 0.742002, -0.317075, -0.520270, 0.241308, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.148025, 0.418867, 0.585061, 0.495845, 0.463120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582170, 0.090659, -0.562844, 0.558582, -0.155083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523547, -0.509288, -0.004018, -0.296171, 0.615459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.414620, 64.286732, 70.296316, 72.624307, 156.533902], [14.220639, 15.433992, 16.957029, 17.595367, 76.798386], [14.914557, 16.178789, 17.735382, 18.364954, 98.708941], [58.880755, 63.710188, 69.667053, 71.975330, 164.337200], [53.037105, 57.325636, 62.619322, 64.630881, 230.714917]]
### 10
mean: [0.980967, -0.627441, 0.556165, -0.850711, 0.632165]
std: [1.365702, 0.008540, 1.013089, 0.333859, 0.869399]
pca: [[0.704416, 0.307427, -0.041642, 0.148946, 0.620780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004326, 0.204968, 0.116677, 0.921085, -0.309770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.522543, 0.021653, 0.599584, 0.116693, 0.594442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172185, -0.618453, -0.572401, 0.337860, 0.382198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448420, 0.693198, -0.545443, -0.040622, 0.138703, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.832932, 22.713627, 25.021368, 29.820023, 88.287066], [0.144756, 0.152045, 0.153591, 0.182175, 56.469684], [16.208343, 16.866496, 18.559005, 22.119596, 50.054836], [5.311265, 5.516492, 6.120376, 7.291467, 76.563965], [13.940966, 14.518004, 15.921169, 18.978983, 56.894811]]
### 12
mean: [-2.115359]
std: [3.743686]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.733014, 64.006224, 67.363177, 83.252611, 190.382332]]
## 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:
{
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[
1.859177,
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0.000563,
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],
[
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-0.312744,
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],
[
0.117852,
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0.593976,
-0.287951,
-0.7553
],
[
-0.220617,
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-0.356606,
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],
[
1.818214,
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-0.001188
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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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0.425388,
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],
[
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0.423678,
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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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0.079392,
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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": [
1.121158,
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1.008544,
0.001423
],
"network.10.weight": [
[
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1.335383,
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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": [
-0.3985
]
}
## Activation Signature
### 0
mean: [1.223418, -3.449947, -1.140255, -3.753334, 4.816131]
std: [3.936592, 1.994680, 1.818797, 2.475399, 4.949337]
pca: [[0.506872, 0.687820, -0.350492, -0.303755, -0.234248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.186595, 0.468999, -0.147157, 0.309368, 0.792376, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.037076, 0.244659, 0.815456, -0.482038, 0.203566, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277406, 0.464018, 0.342344, 0.580825, -0.503166, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.793684, -0.178249, 0.270801, 0.492245, 0.150511, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.011908, 71.128074, 73.913545, 95.486807, 110.107666], [32.869074, 33.324792, 38.173980, 39.823493, 310.495276], [29.488962, 30.007932, 31.463545, 34.177413, 102.622942], [37.467564, 41.764085, 45.903284, 49.381391, 337.800037], [80.436311, 82.598725, 84.365919, 89.229515, 433.451779]]
### 2
mean: [-3.991771, -2.910919, -0.857053, -0.590925, 6.223910]
std: [3.537841, 2.559973, 0.589868, 1.717886, 7.080210]
pca: [[-0.415663, 0.316575, -0.001810, -0.188958, 0.831442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299677, 0.685528, 0.133257, 0.588059, -0.276900, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.068067, -0.212606, 0.973161, 0.017611, 0.053043, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200661, -0.567196, -0.166456, 0.728960, 0.280951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.832178, 0.250836, 0.086544, 0.294597, 0.387665, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.082632, 64.305228, 66.262651, 70.075306, 359.259411], [44.500264, 44.935592, 47.888538, 49.405123, 261.982756], [9.950352, 11.076653, 11.602631, 13.144772, 77.134782], [28.848721, 32.571549, 32.979738, 35.515606, 53.183211], [121.390522, 131.214310, 133.055761, 142.533244, 560.151975]]
### 4
mean: [-1.534086, -1.091868, -1.716347, -2.479246, 4.880518]
std: [1.387796, 2.276316, 1.637559, 2.527472, 6.472836]
pca: [[-0.181129, 0.892795, -0.001830, -0.402973, 0.087855, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.298730, -0.231604, 0.476936, -0.214458, 0.763976, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.214809, 0.338590, 0.307977, 0.860095, 0.067827, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331729, -0.105439, 0.653655, -0.225477, -0.633036, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.849568, 0.153348, 0.500414, -0.031894, 0.057334, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.586937, 25.184204, 26.463414, 27.402781, 138.067734], [38.702752, 42.131226, 42.660736, 46.353993, 98.268117], [27.876574, 30.113484, 30.968001, 32.983646, 154.471246], [42.989834, 46.729603, 47.460854, 51.368994, 223.132106], [110.107985, 119.633597, 121.616121, 131.476934, 439.246627]]
### 6
mean: [-1.124890, -2.054870, -0.939548, -2.060091, 4.342117]
std: [1.248989, 1.915689, 1.398443, 2.194779, 5.817192]
pca: [[-0.184525, 0.063129, 0.177497, -0.263420, 0.927938, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282335, 0.763716, 0.095390, -0.505137, -0.269743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206163, 0.523639, -0.291076, 0.749517, 0.191828, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324265, -0.060316, 0.875149, 0.327326, -0.134858, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.859411, 0.367309, 0.329825, 0.080797, 0.105756, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.792159, 22.552082, 24.111371, 25.426732, 101.240140], [32.352915, 34.201368, 37.598688, 38.307031, 184.938314], [23.552195, 24.989364, 27.418831, 28.002180, 84.559280], [36.751634, 39.710580, 42.189279, 44.837880, 185.408182], [97.665031, 105.343435, 111.596551, 119.024075, 390.790476]]
### 8
mean: [-1.739266, -0.853315, -1.096766, -1.825969, -2.563499]
std: [3.588694, 0.863768, 0.904333, 3.556540, 3.198420]
pca: [[0.587434, 0.079934, 0.490263, -0.289354, -0.569605, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.141373, 0.742002, -0.317075, -0.520270, 0.241308, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.148025, 0.418867, 0.585061, 0.495845, 0.463120, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.582170, 0.090659, -0.562844, 0.558582, -0.155083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.523547, -0.509288, -0.004018, -0.296171, 0.615459, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[59.414620, 64.286732, 70.296316, 72.624307, 156.533902], [14.220639, 15.433992, 16.957029, 17.595367, 76.798386], [14.914557, 16.178789, 17.735382, 18.364954, 98.708941], [58.880755, 63.710188, 69.667053, 71.975330, 164.337200], [53.037105, 57.325636, 62.619322, 64.630881, 230.714917]]
### 10
mean: [0.980967, -0.627441, 0.556165, -0.850711, 0.632165]
std: [1.365702, 0.008540, 1.013089, 0.333859, 0.869399]
pca: [[0.704416, 0.307427, -0.041642, 0.148946, 0.620780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.004326, 0.204968, 0.116677, 0.921085, -0.309770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.522543, 0.021653, 0.599584, 0.116693, 0.594442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.172185, -0.618453, -0.572401, 0.337860, 0.382198, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448420, 0.693198, -0.545443, -0.040622, 0.138703, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.832932, 22.713627, 25.021368, 29.820023, 88.287066], [0.144756, 0.152045, 0.153591, 0.182175, 56.469684], [16.208343, 16.866496, 18.559005, 22.119596, 50.054836], [5.311265, 5.516492, 6.120376, 7.291467, 76.563965], [13.940966, 14.518004, 15.921169, 18.978983, 56.894811]]
### 12
mean: [-2.115359]
std: [3.743686]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.733014, 64.006224, 67.363177, 83.252611, 190.382332]]
## 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": [58.880755178271464, 63.71018805777911, 69.66705299884582, 71.97532983944518, 164.33719992637634]}, "4": {"mean": -2.5634992122650146, "std": 3.198420286178589, "pca": [0.5235474705696106, -0.5092883706092834, -0.0040176971815526485, -0.2961709499359131, 0.6154592037200928, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [53.03710519880678, 57.32563637290076, 62.619322324447765, 64.63088103452095, 230.71491687418893]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": 0.9809674620628357, "std": 1.3657022714614868, "pca": [0.7044162154197693, 0.30742740631103516, -0.04164156690239906, 0.14894598722457886, 0.6207795739173889, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.832932499632633, 22.713627444798995, 25.02136813897249, 29.82002332911158, 88.28706576675177]}, "1": {"mean": -0.6274409294128418, "std": 0.00854005478322506, "pca": [-0.00432575773447752, 0.20496782660484314, 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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": [[1.859177, -0.976604, 0.436455, 0.000563, 0.127652], [0.019994, -0.751581, -0.312744, -0.375591, -0.015078], [0.117852, -0.155544, 0.593976, -0.287951, -0.7553], [-0.220617, -0.524948, -0.356606, -0.618856, -0.422307], [1.818214, 0.971494, 0.377346, 0.175738, -0.001188]], "network.0.bias": [-0.380983, -0.627961, -0.695197, 0.070642, -0.380441], "network.2.weight": [[-0.433242, -0.009829, -0.290453, 0.116714, -0.468791], [-0.294367, -0.286822, 0.028246, -0.562344, -0.354092], [-0.125428, -0.141963, -0.120813, -0.424038, -0.04172], [-0.23586, 0.1766, -0.521154, -0.670621, -0.204215], [0.906987, 0.371672, 1.037496, -0.08551, 0.906282]], "network.2.bias": [-0.775514, -0.596451, -0.371556, 0.99497, -0.237112], "network.4.weight": [[-0.375418, -0.141081, 0.241345, -0.368834, -0.2095], [0.739361, 0.298842, 0.197649, 0.425388, -0.307011], [0.441262, 0.251173, 0.423678, -0.000535, -0.232179], [-0.230057, 0.011536, 0.263594, 0.380302, -0.344354], [0.195282, 0.074436, 0.262997, -0.903276, 0.884536]], "network.4.bias": [-0.101556, 0.686826, -0.264239, -0.452058, -0.351109], "network.6.weight": [[-0.128196, 0.114041, -0.064328, 0.238695, -0.193827], [0.439787, -0.183783, 0.021489, 0.079392, -0.310964], [0.379301, -0.115953, -0.365056, 0.038401, -0.226335], [0.152796, 0.292456, -0.411879, 0.072378, -0.336913], [-0.161188, -0.886295, -0.040728, -0.231559, 0.888465]], "network.6.bias": [-0.174895, -0.418558, 0.245992, -0.437627, 0.098762], "network.8.weight": [[-0.13839, -0.077124, 0.178272, 0.444387, -0.633052], [-0.156293, 0.421392, 0.304163, -0.287038, -0.150692], [-0.087835, -0.156946, 0.188639, -0.017945, -0.158607], [-0.027098, -0.06639, 0.180507, -0.211899, -0.627355], [0.382565, -0.321963, -0.052784, 0.10101, -0.565549]], "network.8.bias": [1.121158, -0.184156, -0.386559, 1.008544, 0.001423], "network.10.weight": [[1.37426, -0.206236, -0.180601, 1.335383, 0.054284], [-0.082197, -0.16203, -0.046345, 0.073424, -0.398019], [-1.110015, 0.294356, 0.407167, -0.890362, -0.113908], [-0.15016, -0.366982, -0.402915, -0.531987, 0.027919], [-1.182665, 0.434194, -0.005224, -0.509416, 0.079212]], "network.10.bias": [-0.171052, -0.61972, 1.411537, -0.570744, 1.368219], "network.12.weight": [[1.100011, 0.229504, -1.794442, -0.333283, -1.756117]], "network.12.bias": [-0.3985]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6941156089305878, "train_acc": 0.55, "val_loss": 0.7045073509216309, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6865163147449493, "train_acc": 0.55, "val_loss": 0.6881648302078247, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6794891059398651, "train_acc": 0.61, "val_loss": 0.6692936420440674, "val_acc": 0.74}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6603100895881653, "train_acc": 0.775, "val_loss": 0.6306105852127075, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6627929508686066, "train_acc": 0.68, "val_loss": 0.6587979197502136, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.568585991859436, "train_acc": 0.795, "val_loss": 0.5823531746864319, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.524296760559082, "train_acc": 0.735, "val_loss": 0.537814736366272, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.41744381189346313, "train_acc": 0.88, "val_loss": 0.5605270862579346, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.35781192779541016, "train_acc": 0.865, "val_loss": 0.4617440700531006, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.24661435931921005, "train_acc": 0.915, "val_loss": 0.3761337399482727, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.21452662348747253, "train_acc": 0.925, "val_loss": 0.4422950744628906, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.23920457065105438, "train_acc": 0.93, "val_loss": 0.2682187855243683, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.18632221966981888, "train_acc": 0.94, "val_loss": 0.1107410416007042, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.19542893022298813, "train_acc": 0.925, "val_loss": 0.3248744308948517, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7045073509216309, "final_val_loss": 0.6306105852127075, "initial_val_acc": 0.5, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.6587979197502136, "final_val_loss": 0.3248744308948517, "initial_val_acc": 0.62, "final_val_acc": 0.88, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
9,939
|
{"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": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4484, "learning_rate": 0.06076060688304782, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.552498, 0.870999, -3.339462, 0.555045, 0.858169, 0.088661, -2.557590]
std: [1.379614, 2.284582, 2.073318, 2.433332, 1.378089, 3.169739, 1.761160]
pca: [[-0.160143, -0.400028, -0.133403, 0.683402, -0.124015, 0.531077, 0.179093, 0.000000, 0.000000, 0.000000], [-0.473082, 0.227733, 0.161974, -0.325809, 0.401082, 0.636631, -0.160557, 0.000000, 0.000000, 0.000000], [0.312489, -0.305424, 0.594239, 0.128296, 0.022721, 0.075621, -0.658219, 0.000000, 0.000000, 0.000000], [-0.385727, 0.434353, 0.585737, 0.253392, -0.460214, -0.130397, 0.162655, 0.000000, 0.000000, 0.000000], [-0.282843, -0.006774, 0.090605, 0.432555, 0.716728, -0.459232, 0.006954, 0.000000, 0.000000, 0.000000], [0.603720, 0.634738, -0.002231, 0.320246, 0.222580, 0.268767, 0.091054, 0.000000, 0.000000, 0.000000], [0.244203, -0.321295, 0.501543, -0.237659, 0.219544, 0.082505, 0.688549, 0.000000, 0.000000, 0.000000]]
fourier: [[19.580142, 27.487871, 28.794872, 30.492807, 49.724855], [34.017370, 35.271541, 38.467851, 43.905127, 78.389947], [30.847991, 32.442782, 39.222945, 39.674539, 300.551544], [33.326433, 33.484971, 34.851067, 49.954057, 51.957317], [24.286620, 24.401732, 25.888630, 27.631316, 77.235210], [47.706106, 50.846194, 55.832642, 58.510097, 75.339692], [26.334865, 29.674879, 30.749371, 34.647444, 230.183110]]
### 2
mean: [2.617261, -1.391718, -0.802684, -2.381068, 0.449918, 2.603567, 2.060716]
std: [3.340438, 0.760121, 0.383972, 1.606135, 1.399223, 3.056954, 2.709937]
pca: [[0.604763, 0.058891, 0.084441, 0.503984, -0.243180, -0.245580, -0.500217, 0.000000, 0.000000, 0.000000], [0.030195, 0.445657, 0.621533, 0.115646, -0.244899, -0.223646, 0.539266, 0.000000, 0.000000, 0.000000], [-0.026970, 0.216840, -0.036956, 0.650253, 0.575583, 0.414240, 0.158644, 0.000000, 0.000000, 0.000000], [-0.182290, 0.798415, -0.030448, -0.279195, 0.101842, 0.050857, -0.487307, 0.000000, 0.000000, 0.000000], [0.239479, -0.233793, 0.683083, -0.295495, 0.202870, 0.478055, -0.253729, 0.000000, 0.000000, 0.000000], [0.553024, 0.087593, -0.127781, -0.339562, 0.591458, -0.394900, 0.221568, 0.000000, 0.000000, 0.000000], [0.486011, 0.226059, -0.348345, -0.170961, -0.385020, 0.575334, 0.287870, 0.000000, 0.000000, 0.000000]]
fourier: [[55.968954, 60.382140, 60.928557, 62.464263, 235.553482], [11.603975, 12.412508, 12.884329, 12.972006, 125.254624], [6.139172, 6.535358, 6.920583, 10.285508, 72.241590], [27.714895, 29.346239, 31.304926, 41.254604, 214.296071], [21.944151, 22.454412, 25.635100, 26.338093, 40.492595], [50.479041, 55.570463, 55.802652, 58.429046, 234.321050], [43.922014, 50.658658, 51.830658, 53.334436, 185.464459]]
### 4
mean: [-1.464846, -2.089302, 7.648408, -1.446625, 5.605812, -1.207426, 3.436113]
std: [1.501387, 1.930264, 9.264702, 1.151772, 7.020456, 1.001267, 4.391221]
pca: [[-0.117413, -0.338192, 0.338933, 0.395832, -0.091468, 0.686417, 0.347487, 0.000000, 0.000000, 0.000000], [-0.150769, 0.514113, 0.645089, 0.058910, -0.494913, -0.089098, -0.201172, 0.000000, 0.000000, 0.000000], [0.726479, -0.394669, 0.380358, -0.202904, -0.020639, 0.037914, -0.358831, 0.000000, 0.000000, 0.000000], [-0.089834, 0.371721, 0.029789, -0.033658, 0.567266, 0.510693, -0.518782, 0.000000, 0.000000, 0.000000], [0.550471, 0.371060, -0.269256, 0.694287, -0.060400, -0.013859, 0.030358, 0.000000, 0.000000, 0.000000], [-0.078442, -0.081905, 0.480028, 0.329361, 0.622625, -0.482342, 0.167083, 0.000000, 0.000000, 0.000000], [0.344194, 0.427762, 0.143177, -0.455005, 0.182122, 0.160630, 0.641911, 0.000000, 0.000000, 0.000000]]
fourier: [[25.464359, 26.106338, 27.979531, 28.131202, 131.836142], [33.128411, 37.056137, 37.403407, 37.657909, 188.037169], [158.396245, 168.439405, 174.423624, 176.986076, 688.356742], [19.448705, 22.103850, 22.390107, 22.432866, 130.196275], [120.936371, 124.861447, 131.836363, 132.824419, 504.523048], [17.525263, 17.814011, 18.705459, 19.300233, 108.668368], [75.432456, 76.842597, 81.851680, 83.090102, 309.250151]]
### 6
mean: [-5.067575, 11.385151, -3.373037, -2.346736, -2.046023, -1.472774, -8.376760]
std: [6.112914, 14.184695, 3.871136, 2.586866, 2.015207, 1.260498, 10.380945]
pca: [[-0.316226, -0.444161, -0.125642, 0.490249, 0.529669, -0.361969, 0.187140, 0.000000, 0.000000, 0.000000], [0.733817, 0.196864, -0.174168, 0.178727, 0.191312, -0.005966, 0.569073, 0.000000, 0.000000, 0.000000], [-0.200265, -0.066593, -0.250416, -0.422524, 0.532179, 0.635418, 0.165090, 0.000000, 0.000000, 0.000000], [-0.133820, -0.206529, 0.614227, -0.421607, -0.061289, -0.202217, 0.582891, 0.000000, 0.000000, 0.000000], [-0.104156, 0.686517, 0.152443, -0.194014, 0.508518, -0.411317, -0.170861, 0.000000, 0.000000, 0.000000], [-0.065194, 0.211885, 0.618740, 0.545773, 0.127773, 0.503727, -0.008947, 0.000000, 0.000000, 0.000000], [-0.537030, 0.447969, -0.328358, 0.189535, -0.347798, 0.037048, 0.494817, 0.000000, 0.000000, 0.000000]]
fourier: [[105.191924, 108.614535, 114.655555, 115.782886, 456.081698], [243.732847, 253.461085, 266.314758, 269.220412, 1024.663456], [66.496637, 69.112433, 72.638384, 73.493022, 303.573395], [44.551524, 45.978279, 48.557272, 48.953260, 211.206265], [34.284122, 37.209201, 38.026693, 38.720791, 184.142092], [21.591956, 22.972874, 23.789372, 24.033902, 132.549656], [178.076958, 186.460706, 195.033707, 197.456175, 753.908324]]
### 8
mean: [-3.630174, 5.146986, 6.267552, 4.312889, -4.004208, 7.842255, -3.305593]
std: [3.644039, 6.502999, 7.831072, 5.575287, 4.708920, 9.887820, 3.570306]
pca: [[-0.217514, -0.091887, 0.474301, 0.253984, -0.030572, 0.593196, 0.549508, 0.000000, 0.000000, 0.000000], [0.388166, -0.220872, -0.069662, -0.428017, 0.030553, -0.314576, 0.715960, 0.000000, 0.000000, 0.000000], [0.467439, -0.533503, 0.443007, -0.253571, -0.069988, 0.230605, -0.422190, 0.000000, 0.000000, 0.000000], [0.332791, -0.089259, 0.274296, 0.724030, 0.283798, -0.446558, 0.043250, 0.000000, 0.000000, 0.000000], [-0.281077, 0.235089, 0.623567, -0.196310, -0.453177, -0.482077, -0.024247, 0.000000, 0.000000, 0.000000], [0.590207, 0.754328, 0.123166, -0.052195, -0.048599, 0.249721, 0.005297, 0.000000, 0.000000, 0.000000], [-0.213113, 0.160940, 0.307712, -0.350019, 0.839620, -0.042533, -0.068636, 0.000000, 0.000000, 0.000000]]
fourier: [[62.614802, 65.113981, 68.416079, 69.162542, 326.715652], [111.739760, 116.199684, 122.092477, 123.424582, 463.228735], [134.559781, 139.930537, 147.026777, 148.630928, 564.079579], [95.799063, 99.622743, 104.674872, 105.816936, 388.160007], [80.912445, 84.141947, 88.409003, 89.373601, 360.378707], [169.900483, 176.681806, 185.641805, 187.667272, 705.803010], [61.347871, 63.796480, 67.031768, 67.763125, 297.503367]]
### 10
mean: [-1.240076, 6.823662, 9.199091, 12.296082, 6.958533, -6.334308, 4.970486]
std: [1.502279, 8.733311, 11.525828, 15.709224, 8.764222, 8.833991, 6.420020]
pca: [[-0.058734, 0.023378, -0.048149, -0.201044, 0.975535, 0.004534, -0.039714, 0.000000, 0.000000, 0.000000], [0.341442, -0.331283, 0.685336, 0.479527, 0.158788, -0.205431, -0.081371, 0.000000, 0.000000, 0.000000], [0.450620, 0.695558, 0.207897, -0.058723, 0.029589, 0.002520, 0.515353, 0.000000, 0.000000, 0.000000], [0.614176, -0.378960, -0.562499, -0.018987, 0.024129, -0.349317, 0.199517, 0.000000, 0.000000, 0.000000], [0.342651, 0.284720, -0.302173, 0.472491, 0.073152, 0.465590, -0.514629, 0.000000, 0.000000, 0.000000], [-0.345378, -0.113567, -0.221392, 0.629057, 0.124496, 0.194226, 0.608166, 0.000000, 0.000000, 0.000000], [0.251000, -0.410280, 0.167474, -0.326902, -0.028448, 0.762398, 0.227368, 0.000000, 0.000000, 0.000000]]
fourier: [[25.838365, 26.846454, 28.220385, 28.506927, 111.606843], [150.266485, 156.075769, 164.083905, 165.707017, 614.129628], [198.099591, 205.965665, 216.450437, 218.730958, 827.918185], [270.194929, 280.733777, 295.094080, 298.091678, 1106.647442], [150.689532, 156.616320, 164.605959, 166.318398, 626.268023], [151.928875, 157.865856, 165.930904, 167.635757, 570.087676], [110.477400, 114.735014, 120.626072, 121.812184, 447.343740]]
### 12
mean: [-12.421845]
std: [16.633648]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[285.019902, 297.016514, 311.678939, 315.630197, 1117.966059]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.325003,
0.058973,
-0.127454
],
[
0.162852,
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0.531738,
0.239939,
-0.28793,
-0.15831,
0.327689
],
[
-0.379262,
0.393049,
0.053067,
0.358604,
-0.257532,
0.49871,
0.298915
],
[
0.184194,
-0.331972,
-0.086311,
-0.036847,
-0.146905,
0.325683,
-0.250733
],
[
0.075621,
0.697077,
-0.105024,
0.161819,
0.085106,
-0.079492,
-0.153303
],
[
0.003512,
-0.251701,
0.129452,
0.106693,
0.329321,
-0.093521,
0.382823
]
],
"network.8.bias": [
-0.705337,
-0.072556,
-0.017951,
-0.162038,
-0.224659,
-0.094066,
-0.439936
],
"network.10.weight": [
[
0.165826,
0.125663,
-0.006234,
-0.036202,
-0.00657,
-0.209292,
-0.082028
],
[
0.139098,
0.417047,
0.098337,
0.311781,
0.088124,
0.355793,
-0.101408
],
[
0.07965,
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-0.075671,
-0.25903,
0.60522,
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[
0.241295,
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],
[
0.00994,
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],
[
0.203413,
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0.064676
],
[
0.204364,
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0.121096,
0.402166
]
],
"network.10.bias": [
-0.049529,
-0.080559,
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-0.162441,
-0.011031,
0.683118,
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],
"network.12.weight": [
[
-0.36345,
-0.042999,
-0.577583,
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],
"network.12.bias": [
0.613483
]
}
## Activation Signature
### 0
mean: [0.552498, 0.870999, -3.339462, 0.555045, 0.858169, 0.088661, -2.557590]
std: [1.379614, 2.284582, 2.073318, 2.433332, 1.378089, 3.169739, 1.761160]
pca: [[-0.160143, -0.400028, -0.133403, 0.683402, -0.124015, 0.531077, 0.179093, 0.000000, 0.000000, 0.000000], [-0.473082, 0.227733, 0.161974, -0.325809, 0.401082, 0.636631, -0.160557, 0.000000, 0.000000, 0.000000], [0.312489, -0.305424, 0.594239, 0.128296, 0.022721, 0.075621, -0.658219, 0.000000, 0.000000, 0.000000], [-0.385727, 0.434353, 0.585737, 0.253392, -0.460214, -0.130397, 0.162655, 0.000000, 0.000000, 0.000000], [-0.282843, -0.006774, 0.090605, 0.432555, 0.716728, -0.459232, 0.006954, 0.000000, 0.000000, 0.000000], [0.603720, 0.634738, -0.002231, 0.320246, 0.222580, 0.268767, 0.091054, 0.000000, 0.000000, 0.000000], [0.244203, -0.321295, 0.501543, -0.237659, 0.219544, 0.082505, 0.688549, 0.000000, 0.000000, 0.000000]]
fourier: [[19.580142, 27.487871, 28.794872, 30.492807, 49.724855], [34.017370, 35.271541, 38.467851, 43.905127, 78.389947], [30.847991, 32.442782, 39.222945, 39.674539, 300.551544], [33.326433, 33.484971, 34.851067, 49.954057, 51.957317], [24.286620, 24.401732, 25.888630, 27.631316, 77.235210], [47.706106, 50.846194, 55.832642, 58.510097, 75.339692], [26.334865, 29.674879, 30.749371, 34.647444, 230.183110]]
### 2
mean: [2.617261, -1.391718, -0.802684, -2.381068, 0.449918, 2.603567, 2.060716]
std: [3.340438, 0.760121, 0.383972, 1.606135, 1.399223, 3.056954, 2.709937]
pca: [[0.604763, 0.058891, 0.084441, 0.503984, -0.243180, -0.245580, -0.500217, 0.000000, 0.000000, 0.000000], [0.030195, 0.445657, 0.621533, 0.115646, -0.244899, -0.223646, 0.539266, 0.000000, 0.000000, 0.000000], [-0.026970, 0.216840, -0.036956, 0.650253, 0.575583, 0.414240, 0.158644, 0.000000, 0.000000, 0.000000], [-0.182290, 0.798415, -0.030448, -0.279195, 0.101842, 0.050857, -0.487307, 0.000000, 0.000000, 0.000000], [0.239479, -0.233793, 0.683083, -0.295495, 0.202870, 0.478055, -0.253729, 0.000000, 0.000000, 0.000000], [0.553024, 0.087593, -0.127781, -0.339562, 0.591458, -0.394900, 0.221568, 0.000000, 0.000000, 0.000000], [0.486011, 0.226059, -0.348345, -0.170961, -0.385020, 0.575334, 0.287870, 0.000000, 0.000000, 0.000000]]
fourier: [[55.968954, 60.382140, 60.928557, 62.464263, 235.553482], [11.603975, 12.412508, 12.884329, 12.972006, 125.254624], [6.139172, 6.535358, 6.920583, 10.285508, 72.241590], [27.714895, 29.346239, 31.304926, 41.254604, 214.296071], [21.944151, 22.454412, 25.635100, 26.338093, 40.492595], [50.479041, 55.570463, 55.802652, 58.429046, 234.321050], [43.922014, 50.658658, 51.830658, 53.334436, 185.464459]]
### 4
mean: [-1.464846, -2.089302, 7.648408, -1.446625, 5.605812, -1.207426, 3.436113]
std: [1.501387, 1.930264, 9.264702, 1.151772, 7.020456, 1.001267, 4.391221]
pca: [[-0.117413, -0.338192, 0.338933, 0.395832, -0.091468, 0.686417, 0.347487, 0.000000, 0.000000, 0.000000], [-0.150769, 0.514113, 0.645089, 0.058910, -0.494913, -0.089098, -0.201172, 0.000000, 0.000000, 0.000000], [0.726479, -0.394669, 0.380358, -0.202904, -0.020639, 0.037914, -0.358831, 0.000000, 0.000000, 0.000000], [-0.089834, 0.371721, 0.029789, -0.033658, 0.567266, 0.510693, -0.518782, 0.000000, 0.000000, 0.000000], [0.550471, 0.371060, -0.269256, 0.694287, -0.060400, -0.013859, 0.030358, 0.000000, 0.000000, 0.000000], [-0.078442, -0.081905, 0.480028, 0.329361, 0.622625, -0.482342, 0.167083, 0.000000, 0.000000, 0.000000], [0.344194, 0.427762, 0.143177, -0.455005, 0.182122, 0.160630, 0.641911, 0.000000, 0.000000, 0.000000]]
fourier: [[25.464359, 26.106338, 27.979531, 28.131202, 131.836142], [33.128411, 37.056137, 37.403407, 37.657909, 188.037169], [158.396245, 168.439405, 174.423624, 176.986076, 688.356742], [19.448705, 22.103850, 22.390107, 22.432866, 130.196275], [120.936371, 124.861447, 131.836363, 132.824419, 504.523048], [17.525263, 17.814011, 18.705459, 19.300233, 108.668368], [75.432456, 76.842597, 81.851680, 83.090102, 309.250151]]
### 6
mean: [-5.067575, 11.385151, -3.373037, -2.346736, -2.046023, -1.472774, -8.376760]
std: [6.112914, 14.184695, 3.871136, 2.586866, 2.015207, 1.260498, 10.380945]
pca: [[-0.316226, -0.444161, -0.125642, 0.490249, 0.529669, -0.361969, 0.187140, 0.000000, 0.000000, 0.000000], [0.733817, 0.196864, -0.174168, 0.178727, 0.191312, -0.005966, 0.569073, 0.000000, 0.000000, 0.000000], [-0.200265, -0.066593, -0.250416, -0.422524, 0.532179, 0.635418, 0.165090, 0.000000, 0.000000, 0.000000], [-0.133820, -0.206529, 0.614227, -0.421607, -0.061289, -0.202217, 0.582891, 0.000000, 0.000000, 0.000000], [-0.104156, 0.686517, 0.152443, -0.194014, 0.508518, -0.411317, -0.170861, 0.000000, 0.000000, 0.000000], [-0.065194, 0.211885, 0.618740, 0.545773, 0.127773, 0.503727, -0.008947, 0.000000, 0.000000, 0.000000], [-0.537030, 0.447969, -0.328358, 0.189535, -0.347798, 0.037048, 0.494817, 0.000000, 0.000000, 0.000000]]
fourier: [[105.191924, 108.614535, 114.655555, 115.782886, 456.081698], [243.732847, 253.461085, 266.314758, 269.220412, 1024.663456], [66.496637, 69.112433, 72.638384, 73.493022, 303.573395], [44.551524, 45.978279, 48.557272, 48.953260, 211.206265], [34.284122, 37.209201, 38.026693, 38.720791, 184.142092], [21.591956, 22.972874, 23.789372, 24.033902, 132.549656], [178.076958, 186.460706, 195.033707, 197.456175, 753.908324]]
### 8
mean: [-3.630174, 5.146986, 6.267552, 4.312889, -4.004208, 7.842255, -3.305593]
std: [3.644039, 6.502999, 7.831072, 5.575287, 4.708920, 9.887820, 3.570306]
pca: [[-0.217514, -0.091887, 0.474301, 0.253984, -0.030572, 0.593196, 0.549508, 0.000000, 0.000000, 0.000000], [0.388166, -0.220872, -0.069662, -0.428017, 0.030553, -0.314576, 0.715960, 0.000000, 0.000000, 0.000000], [0.467439, -0.533503, 0.443007, -0.253571, -0.069988, 0.230605, -0.422190, 0.000000, 0.000000, 0.000000], [0.332791, -0.089259, 0.274296, 0.724030, 0.283798, -0.446558, 0.043250, 0.000000, 0.000000, 0.000000], [-0.281077, 0.235089, 0.623567, -0.196310, -0.453177, -0.482077, -0.024247, 0.000000, 0.000000, 0.000000], [0.590207, 0.754328, 0.123166, -0.052195, -0.048599, 0.249721, 0.005297, 0.000000, 0.000000, 0.000000], [-0.213113, 0.160940, 0.307712, -0.350019, 0.839620, -0.042533, -0.068636, 0.000000, 0.000000, 0.000000]]
fourier: [[62.614802, 65.113981, 68.416079, 69.162542, 326.715652], [111.739760, 116.199684, 122.092477, 123.424582, 463.228735], [134.559781, 139.930537, 147.026777, 148.630928, 564.079579], [95.799063, 99.622743, 104.674872, 105.816936, 388.160007], [80.912445, 84.141947, 88.409003, 89.373601, 360.378707], [169.900483, 176.681806, 185.641805, 187.667272, 705.803010], [61.347871, 63.796480, 67.031768, 67.763125, 297.503367]]
### 10
mean: [-1.240076, 6.823662, 9.199091, 12.296082, 6.958533, -6.334308, 4.970486]
std: [1.502279, 8.733311, 11.525828, 15.709224, 8.764222, 8.833991, 6.420020]
pca: [[-0.058734, 0.023378, -0.048149, -0.201044, 0.975535, 0.004534, -0.039714, 0.000000, 0.000000, 0.000000], [0.341442, -0.331283, 0.685336, 0.479527, 0.158788, -0.205431, -0.081371, 0.000000, 0.000000, 0.000000], [0.450620, 0.695558, 0.207897, -0.058723, 0.029589, 0.002520, 0.515353, 0.000000, 0.000000, 0.000000], [0.614176, -0.378960, -0.562499, -0.018987, 0.024129, -0.349317, 0.199517, 0.000000, 0.000000, 0.000000], [0.342651, 0.284720, -0.302173, 0.472491, 0.073152, 0.465590, -0.514629, 0.000000, 0.000000, 0.000000], [-0.345378, -0.113567, -0.221392, 0.629057, 0.124496, 0.194226, 0.608166, 0.000000, 0.000000, 0.000000], [0.251000, -0.410280, 0.167474, -0.326902, -0.028448, 0.762398, 0.227368, 0.000000, 0.000000, 0.000000]]
fourier: [[25.838365, 26.846454, 28.220385, 28.506927, 111.606843], [150.266485, 156.075769, 164.083905, 165.707017, 614.129628], [198.099591, 205.965665, 216.450437, 218.730958, 827.918185], [270.194929, 280.733777, 295.094080, 298.091678, 1106.647442], [150.689532, 156.616320, 164.605959, 166.318398, 626.268023], [151.928875, 157.865856, 165.930904, 167.635757, 570.087676], [110.477400, 114.735014, 120.626072, 121.812184, 447.343740]]
### 12
mean: [-12.421845]
std: [16.633648]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[285.019902, 297.016514, 311.678939, 315.630197, 1117.966059]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.5524984002113342, "std": 1.379613995552063, "pca": [-0.1601431518793106, -0.4000280797481537, -0.13340306282043457, 0.6834018230438232, -0.12401469051837921, 0.5310774445533752, 0.1790931522846222, 0.0, 0.0, 0.0], "fourier": [19.580142139037502, 27.487871408062595, 28.794872395470925, 30.492807164363295, 49.7248552441597]}, "1": {"mean": 0.8709993958473206, "std": 2.2845821380615234, "pca": [-0.47308167815208435, 0.22773319482803345, 0.16197384893894196, -0.32580941915512085, 0.40108227729797363, 0.6366305947303772, -0.1605568379163742, 0.0, 0.0, 0.0], "fourier": [34.01737048893912, 35.271541057038746, 38.46785083560997, 43.905127085503594, 78.38994742929935]}, "2": {"mean": -3.3394615650177, "std": 2.0733180046081543, "pca": [0.3124888837337494, -0.30542421340942383, 0.594239354133606, 0.12829595804214478, 0.02272050455212593, 0.07562076300382614, -0.6582186222076416, 0.0, 0.0, 0.0], "fourier": [30.847990825836444, 32.44278224843057, 39.222944529232464, 39.67453873368586, 300.5515437722206]}, "3": {"mean": 0.5550451278686523, "std": 2.4333324432373047, "pca": [-0.3857274353504181, 0.43435320258140564, 0.5857368111610413, 0.2533918023109436, -0.4602136015892029, -0.13039734959602356, 0.16265486180782318, 0.0, 0.0, 0.0], "fourier": [33.32643287310181, 33.484970585501635, 34.85106693692374, 49.95405724644661, 51.95731676541206]}, "4": {"mean": 0.8581690192222595, "std": 1.3780893087387085, "pca": [-0.2828429937362671, -0.006774459965527058, 0.090605229139328, 0.4325546622276306, 0.7167280912399292, -0.45923152565956116, 0.006953598465770483, 0.0, 0.0, 0.0], "fourier": [24.2866195528941, 24.40173175947823, 25.888630029992868, 27.6313158150475, 77.23520983755589]}, "5": {"mean": 0.08866061270236969, "std": 3.1697394847869873, "pca": [0.6037197113037109, 0.6347375512123108, -0.0022307049948722124, 0.320246160030365, 0.22257956862449646, 0.26876673102378845, 0.09105435013771057, 0.0, 0.0, 0.0], "fourier": [47.7061057712348, 50.846193561117865, 55.832642363346295, 58.51009744977517, 75.3396916459124]}, "6": {"mean": -2.5575900077819824, "std": 1.7611600160598755, "pca": [0.2442033886909485, -0.32129549980163574, 0.501543402671814, -0.23765888810157776, 0.2195444107055664, 0.08250503987073898, 0.6885488629341125, 0.0, 0.0, 0.0], "fourier": [26.33486493067743, 29.67487930071161, 30.74937144767866, 34.64744407608027, 230.1831100108102]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 2.617260694503784, "std": 3.3404383659362793, "pca": [0.6047632694244385, 0.05889131873846054, 0.08444090932607651, 0.5039839744567871, -0.24318049848079681, -0.24557985365390778, -0.5002168416976929, 0.0, 0.0, 0.0], "fourier": [55.96895358005321, 60.382140242136934, 60.92855713270661, 62.46426324497511, 235.55348187685013]}, "1": {"mean": -1.3917180299758911, "std": 0.7601209282875061, "pca": 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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": [[0.618258, -0.641119, 0.072869, 0.273993, 0.028696], [0.89589, 0.393618, 0.024733, -0.176171, -0.534105], [-0.427048, -0.507319, -0.475996, -0.026859, -0.180732], [0.740234, 0.438696, -0.244768, 0.088186, -0.969065], [0.65974, -0.145257, 0.106715, 0.142241, -0.415797], [-1.637395, 0.565691, 0.126386, 0.227731, 0.104927], [-0.325139, -0.403402, -0.428188, -0.190406, -0.085531]], "network.0.bias": [0.176203, 0.023707, -0.608774, 0.351826, 0.286722, 0.21372, -0.009645], "network.2.weight": [[0.482194, 0.817284, -0.040074, 0.577224, 0.44609, -0.323157, -0.101028], [-0.062909, 0.178586, 0.290835, -0.182756, -0.202959, -0.593206, -0.278979], [0.050702, 0.080769, 0.255604, -0.257523, -0.043302, -0.15554, 0.282132], [-0.021211, -0.326449, 0.188354, -0.559547, -0.017432, -0.726864, -0.137941], [-0.159426, 0.445755, 0.033398, 0.329281, 0.1008, 0.002024, 0.215375], [0.324292, 0.592521, -0.317931, 0.476452, 0.809058, -0.2742, -0.227229], [0.501725, 0.425282, -0.431682, 0.463605, 0.61592, -0.382168, -0.227671]], "network.2.bias": [0.458636, -0.36575, -0.389914, -0.332165, -0.467454, 0.541906, 0.406979], "network.4.weight": [[-0.197252, 0.039174, -0.26075, -0.058558, -0.317812, -0.056316, -0.113215], [0.0622, -0.105327, -0.044181, 0.104224, -0.130251, 0.031039, -0.784752], [0.813868, 0.041997, 0.089975, 0.201974, 0.442351, 1.188805, 0.92424], [0.017591, -0.518926, -0.257038, -0.227166, 0.034979, -0.117549, -0.336731], [0.934607, -0.165906, 0.279263, -0.181785, 0.65193, 0.562658, 0.54948], [-0.043855, -0.368987, -0.103178, -0.29547, -0.231398, 0.052085, -0.280831], [0.570373, 0.554341, -0.057622, -0.155602, 0.43408, 0.562702, 0.106171]], "network.4.bias": [-0.337778, -0.580351, 0.111041, -0.493812, 0.042325, -0.473971, -0.071569], "network.6.weight": [[0.070442, 0.267527, -0.089075, 0.273591, -0.528147, -0.374421, -0.360242], [0.385301, 0.174585, 0.525483, -0.037794, 0.930031, -0.134177, 0.635792], [-0.017304, -0.507719, -0.159023, -0.111304, -0.172661, -0.160684, -0.270435], [0.261352, -0.164453, -0.008102, 0.219508, -0.326793, -0.070742, -0.049607], [-0.241176, -0.235757, -0.343651, -0.37212, 0.100699, -0.270744, 0.105527], [-0.269177, -0.195605, -0.103134, 0.007774, -0.135516, -0.203542, 0.14739], [0.060425, -0.359477, -0.636504, -0.108435, -0.368828, 0.097902, -0.432289]], "network.6.bias": [-0.185886, -0.035507, -0.258204, -0.282114, -0.345296, -0.431501, 0.046716], "network.8.weight": [[-0.131433, -0.256899, -0.368728, -0.033122, -0.204303, -0.067776, -0.049799], [0.232817, 0.458452, -0.132035, 0.08228, -0.325003, 0.058973, -0.127454], [0.162852, 0.552079, 0.531738, 0.239939, -0.28793, -0.15831, 0.327689], [-0.379262, 0.393049, 0.053067, 0.358604, -0.257532, 0.49871, 0.298915], [0.184194, -0.331972, -0.086311, -0.036847, -0.146905, 0.325683, -0.250733], [0.075621, 0.697077, -0.105024, 0.161819, 0.085106, -0.079492, -0.153303], [0.003512, -0.251701, 0.129452, 0.106693, 0.329321, -0.093521, 0.382823]], "network.8.bias": [-0.705337, -0.072556, -0.017951, -0.162038, -0.224659, -0.094066, -0.439936], "network.10.weight": [[0.165826, 0.125663, -0.006234, -0.036202, -0.00657, -0.209292, -0.082028], [0.139098, 0.417047, 0.098337, 0.311781, 0.088124, 0.355793, -0.101408], [0.07965, 0.288087, 0.522472, -0.075671, -0.25903, 0.60522, -0.102819], [0.241295, 0.467791, 0.588643, 0.393562, 0.208043, 0.593657, 0.378532], [0.00994, -0.15154, 0.455733, 0.127819, -0.021849, 0.553268, 0.090727], [0.203413, -0.361148, -0.588874, -0.233174, -0.056419, -0.058386, 0.064676], [0.204364, 0.44125, 0.111203, 0.266613, 0.155931, 0.121096, 0.402166]], "network.10.bias": [-0.049529, -0.080559, 0.019835, -0.162441, -0.011031, 0.683118, -0.102279], "network.12.weight": [[-0.36345, -0.042999, -0.577583, -0.345964, -0.321021, 0.718296, -0.202559]], "network.12.bias": [0.613483]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7030581831932068, "train_acc": 0.425, "val_loss": 0.6958580017089844, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805241405963898, "train_acc": 0.575, "val_loss": 0.7133142352104187, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6800999641418457, "train_acc": 0.575, "val_loss": 0.6840872168540955, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6686421036720276, "train_acc": 0.575, "val_loss": 0.6353708505630493, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6671594977378845, "train_acc": 0.54, "val_loss": 0.6018251776695251, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6035689115524292, "train_acc": 0.73, "val_loss": 0.5113704204559326, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5349070429801941, "train_acc": 0.78, "val_loss": 0.47439002990722656, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.481025293469429, "train_acc": 0.77, "val_loss": 0.45154300332069397, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4907364249229431, "train_acc": 0.8, "val_loss": 0.423872709274292, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4503237307071686, "train_acc": 0.825, "val_loss": 0.41201674938201904, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4209354668855667, "train_acc": 0.83, "val_loss": 0.3500918447971344, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.38100478053092957, "train_acc": 0.85, "val_loss": 0.35594695806503296, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.29150380194187164, "train_acc": 0.89, "val_loss": 0.3784126937389374, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.28165915608406067, "train_acc": 0.895, "val_loss": 0.4523780345916748, "val_acc": 0.76}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6958580017089844, "final_val_loss": 0.6353708505630493, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6018251776695251, "final_val_loss": 0.4523780345916748, "initial_val_acc": 0.76, "final_val_acc": 0.76, "best_val_acc": 0.86, "best_epoch": 10}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
9,940
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9592, "learning_rate": 0.02055861455292718, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [1.390270, -0.216592, 1.299846, 2.959586, 0.324012, 1.486008, -1.452981, 1.270655]
std: [1.460579, 0.720610, 1.279904, 2.079278, 1.517363, 1.600959, 1.371315, 1.511854]
pca: [[-0.015019, 0.615526, -0.022422, 0.107337, 0.456513, 0.106835, 0.068612, 0.619962, 0.000000, 0.000000], [-0.178634, 0.073751, 0.301896, -0.216062, 0.133075, -0.116980, 0.867299, -0.203040, 0.000000, 0.000000], [0.337466, -0.239189, -0.431369, -0.032970, -0.270714, -0.481992, 0.321294, 0.482604, 0.000000, 0.000000], [0.607783, 0.329934, -0.409249, -0.224764, -0.009205, 0.384157, 0.151387, -0.364911, 0.000000, 0.000000], [0.324549, -0.244524, 0.120782, 0.838903, 0.182348, 0.156773, 0.229737, -0.076951, 0.000000, 0.000000], [0.480010, -0.171680, 0.319432, -0.275196, 0.576876, -0.410821, -0.230619, -0.087190, 0.000000, 0.000000], [0.043992, -0.553848, 0.080125, -0.330441, 0.142901, 0.629384, 0.099364, 0.386378, 0.000000, 0.000000], [0.383280, 0.231532, 0.657075, -0.038828, -0.560410, 0.074383, -0.033158, 0.213409, 0.000000, 0.000000]]
fourier: [[23.581305, 24.665004, 24.755821, 24.883234, 125.124334], [11.908218, 12.795140, 13.261908, 13.812927, 19.493293], [20.227494, 20.782213, 21.793783, 23.520289, 116.986144], [30.624254, 32.776513, 33.252373, 38.003478, 266.362752], [23.039229, 25.280720, 29.161073, 29.840474, 31.147735], [23.077194, 23.325636, 23.945276, 24.426820, 133.740719], [22.890811, 22.969595, 23.509538, 24.951159, 130.768320], [21.384358, 21.671659, 22.096526, 29.213943, 114.358935]]
### 2
mean: [2.095344, 0.675905, -0.832186, 0.480416, -0.645254, 1.325196, 2.850771, 1.917766]
std: [1.915390, 1.091389, 0.374464, 0.977859, 0.634672, 1.686839, 2.495718, 1.655097]
pca: [[0.473868, -0.053531, -0.072082, 0.684051, -0.331860, -0.045515, 0.239316, -0.360538, 0.000000, 0.000000], [-0.147133, 0.683162, -0.215800, 0.356385, -0.118570, -0.079066, 0.029110, 0.562942, 0.000000, 0.000000], [-0.085334, -0.022884, 0.063643, 0.228339, 0.565867, 0.586976, 0.517337, 0.060184, 0.000000, 0.000000], [-0.095327, 0.655908, 0.458073, -0.173546, 0.001365, -0.038138, 0.139029, -0.547688, 0.000000, 0.000000], [-0.143899, -0.064133, 0.433556, 0.158314, -0.453701, 0.629646, -0.381749, 0.118808, 0.000000, 0.000000], [0.411133, -0.078610, 0.697887, 0.085698, 0.225492, -0.324289, 0.013401, 0.417384, 0.000000, 0.000000], [0.616453, 0.288983, -0.232568, -0.105108, 0.335700, 0.302056, -0.511995, -0.072585, 0.000000, 0.000000], [0.409489, 0.076685, -0.072446, -0.528538, -0.431531, 0.229838, 0.496853, 0.236496, 0.000000, 0.000000]]
fourier: [[30.111034, 30.620157, 30.639635, 34.899025, 188.580949], [17.050125, 17.158597, 18.427608, 20.226515, 60.831451], [6.299148, 6.606252, 6.914756, 7.220536, 74.896716], [14.710136, 14.800242, 16.462885, 16.616154, 43.237440], [9.687121, 10.010759, 10.532693, 12.436631, 58.072874], [25.417530, 26.270404, 26.368277, 29.133975, 119.267632], [38.575541, 39.149357, 39.228916, 46.083626, 256.569443], [26.329900, 26.385604, 26.715123, 30.264786, 172.598940]]
### 4
mean: [3.537344, 0.943383, 3.198746, -0.368993, -1.831183, 1.728276, 0.272485, -2.274420]
std: [3.554630, 1.256380, 3.386435, 0.339261, 1.016614, 2.226165, 0.689017, 1.420550]
pca: [[0.609897, 0.347483, -0.154143, -0.136609, 0.139484, -0.408012, -0.059567, -0.524768, 0.000000, 0.000000], [0.214155, 0.235885, -0.274136, -0.298812, 0.364036, 0.079316, -0.421327, 0.646318, 0.000000, 0.000000], [0.581879, -0.014687, 0.123857, 0.386463, -0.580484, 0.269346, -0.224478, 0.191330, 0.000000, 0.000000], [0.012370, 0.552344, -0.317054, 0.170818, 0.074269, 0.522959, 0.534516, -0.018756, 0.000000, 0.000000], [-0.170549, 0.339716, 0.156565, 0.730123, 0.234743, -0.440571, -0.081942, 0.204921, 0.000000, 0.000000], [0.380703, -0.295493, 0.504063, 0.110524, 0.619219, 0.277391, 0.202632, -0.004123, 0.000000, 0.000000], [0.113621, 0.253750, 0.447805, -0.365394, -0.257020, -0.337554, 0.497598, 0.401314, 0.000000, 0.000000], [-0.237688, 0.501200, 0.553267, -0.186306, -0.030804, 0.310178, -0.432967, -0.258591, 0.000000, 0.000000]]
fourier: [[53.634840, 56.921778, 60.337361, 64.442467, 318.360964], [19.114649, 20.675189, 21.402559, 23.234971, 84.904493], [52.526986, 53.388437, 56.042832, 61.017814, 287.887145], [5.159609, 5.492608, 6.422852, 7.873685, 33.209414], [15.647915, 16.232082, 16.518907, 18.721660, 164.806479], [34.311073, 34.746915, 36.744364, 39.038042, 155.544835], [10.686691, 10.898617, 10.916632, 13.177620, 24.523653], [22.270738, 22.925680, 22.948396, 26.289209, 204.697746]]
### 6
mean: [-0.548700, -3.016887, -1.108719, 4.768459, -0.546877, -0.585395, -0.585220, -1.773910]
std: [0.098820, 3.534737, 1.327054, 4.551039, 0.777902, 0.080277, 1.017200, 2.173944]
pca: [[0.012967, -0.291542, 0.046224, -0.492923, 0.621507, 0.232696, -0.401719, 0.260633, 0.000000, 0.000000], [-0.549913, 0.054863, -0.307730, -0.130620, 0.414490, -0.157322, 0.621479, 0.006235, 0.000000, 0.000000], [-0.206405, 0.023963, -0.084671, 0.609032, 0.283199, -0.476412, -0.411360, 0.319916, 0.000000, 0.000000], [0.707987, 0.308212, -0.417037, -0.165210, 0.228945, -0.370114, 0.111372, 0.027206, 0.000000, 0.000000], [-0.119583, 0.782707, -0.045316, 0.137265, 0.232998, 0.486116, -0.199355, -0.147769, 0.000000, 0.000000], [-0.001734, 0.191294, 0.714252, -0.151171, 0.264771, -0.441642, 0.019163, -0.406049, 0.000000, 0.000000], [-0.157901, 0.403877, 0.212216, -0.380139, -0.333101, -0.184957, 0.018224, 0.690588, 0.000000, 0.000000], [-0.338145, 0.063911, -0.405994, -0.394400, -0.271960, -0.302628, -0.479920, -0.406597, 0.000000, 0.000000]]
fourier: [[1.561177, 1.590663, 1.647153, 1.795608, 49.382977], [54.018786, 56.653675, 58.043866, 63.245429, 271.519760], [20.352503, 21.157306, 21.923801, 23.761646, 99.784744], [69.649830, 72.795304, 73.864115, 82.543046, 429.161344], [12.322944, 12.373259, 12.436417, 12.470161, 49.218889], [1.084814, 1.183593, 1.260988, 1.377213, 52.685565], [15.827896, 15.828214, 16.074815, 17.635473, 52.669756], [33.284181, 34.948205, 35.822989, 38.602309, 159.651876]]
### 8
mean: [1.920401, -0.374057, -0.124380, 0.450832, -0.311393, -0.082776, -0.121863, 1.687806]
std: [1.715135, 1.036186, 0.491137, 0.818463, 0.585982, 0.399897, 0.397291, 1.560473]
pca: [[0.607645, 0.409258, -0.118533, 0.006481, 0.033813, -0.306009, 0.592591, 0.056879, 0.000000, 0.000000], [-0.365791, 0.343959, 0.670062, -0.229011, -0.073391, -0.389251, 0.048916, 0.295238, 0.000000, 0.000000], [-0.167952, 0.437054, 0.088823, 0.129591, -0.531218, 0.614269, 0.251733, -0.182222, 0.000000, 0.000000], [0.290585, 0.045323, 0.280028, 0.804804, -0.110541, -0.048573, -0.325634, 0.258387, 0.000000, 0.000000], [-0.207733, 0.102331, 0.272465, 0.333859, 0.650980, 0.069206, 0.241980, -0.523027, 0.000000, 0.000000], [-0.134394, 0.420967, -0.285426, -0.019228, 0.493339, 0.354532, -0.110968, 0.584378, 0.000000, 0.000000], [-0.127390, 0.556162, -0.365964, 0.037643, -0.089410, -0.381775, -0.481525, -0.391785, 0.000000, 0.000000], [0.553962, 0.155336, 0.401282, -0.412020, 0.154617, 0.314519, -0.417494, -0.202681, 0.000000, 0.000000]]
fourier: [[26.660138, 27.141761, 27.311072, 31.865646, 172.836059], [16.012712, 16.154447, 17.063277, 20.525691, 33.665140], [7.304618, 8.510313, 8.714334, 9.928471, 11.194212], [12.659095, 12.931009, 13.041664, 15.357025, 40.574841], [8.945878, 9.098032, 9.614476, 11.438076, 28.025328], [5.766307, 7.111311, 7.303082, 7.449799, 7.945536], [6.634506, 7.125157, 7.694793, 7.850042, 10.967628], [24.289958, 24.446396, 24.928465, 29.318579, 151.902573]]
### 10
mean: [0.715546, -0.491088, -0.153497, 0.532524, -0.575588, 0.128473, 1.856449, 0.127144]
std: [0.966346, 0.561110, 0.749395, 0.941979, 0.927498, 0.289779, 1.960865, 0.548653]
pca: [[0.346622, -0.315738, 0.164552, -0.291763, 0.489150, 0.302486, -0.455598, -0.360035, 0.000000, 0.000000], [-0.200084, 0.271404, 0.423792, 0.534424, 0.002692, 0.513038, -0.343632, 0.199497, 0.000000, 0.000000], [-0.265948, 0.442588, -0.318907, -0.349229, 0.579414, 0.124922, -0.009985, 0.397868, 0.000000, 0.000000], [0.338485, -0.234009, -0.504695, 0.517177, 0.253602, 0.341094, 0.350919, 0.068376, 0.000000, 0.000000], [-0.334208, -0.004426, -0.268276, -0.322463, -0.397836, 0.650245, 0.130158, -0.338080, 0.000000, 0.000000], [0.103137, 0.139049, 0.577435, -0.137763, 0.231616, 0.161466, 0.724560, -0.113636, 0.000000, 0.000000], [0.703690, 0.608186, -0.091875, -0.131809, -0.299705, 0.101571, -0.094506, 0.006682, 0.000000, 0.000000], [0.192372, -0.432157, 0.151852, -0.315432, -0.242794, 0.232675, 0.015607, 0.735082, 0.000000, 0.000000]]
fourier: [[14.915634, 16.367348, 16.682081, 19.005345, 64.399147], [8.499646, 9.711513, 9.882607, 10.960051, 44.197879], [11.357153, 13.073405, 13.481786, 13.814723, 14.775775], [14.408652, 15.657076, 16.305851, 18.507808, 47.927121], [14.492643, 14.636935, 15.600271, 18.088385, 51.802901], [4.535802, 4.546859, 4.662251, 5.492576, 11.562535], [29.580676, 30.681474, 32.276130, 37.420823, 167.080409], [8.221432, 9.675830, 10.130863, 10.749328, 11.442973]]
### 12
mean: [-1.288060]
std: [1.644331]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.643405, 25.476831, 27.693280, 31.675533, 115.925388]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.334124
]
],
"network.8.bias": [
0.084972,
0.422209,
0.14511,
-0.260529,
0.030069,
-0.019671,
-0.051936,
0.21484
],
"network.10.weight": [
[
0.305509,
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-0.487626,
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-0.355708,
-0.272351,
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],
[
0.136425,
-0.0535,
0.393095,
-0.057805,
0.441659,
0.447659,
0.286186,
-0.310878
],
[
-0.035798,
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0.602219,
-0.278264,
0.009799,
-0.039229,
0.464386,
-0.079338
],
[
0.301542,
-0.492094,
-0.003739,
-0.151774,
-0.422216,
-0.058032,
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0.136852
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[
-0.224376,
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-0.296236,
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-0.117681,
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],
[
0.219713,
-0.101359,
0.010658,
0.270963,
-0.108267,
0.02479,
-0.103639,
-0.209727
],
[
0.420926,
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0.007612,
0.068424,
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-0.581608,
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[
0.045119,
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0.238336,
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"network.12.weight": [
[
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],
"network.12.bias": [
0.078054
]
}
## Activation Signature
### 0
mean: [1.390270, -0.216592, 1.299846, 2.959586, 0.324012, 1.486008, -1.452981, 1.270655]
std: [1.460579, 0.720610, 1.279904, 2.079278, 1.517363, 1.600959, 1.371315, 1.511854]
pca: [[-0.015019, 0.615526, -0.022422, 0.107337, 0.456513, 0.106835, 0.068612, 0.619962, 0.000000, 0.000000], [-0.178634, 0.073751, 0.301896, -0.216062, 0.133075, -0.116980, 0.867299, -0.203040, 0.000000, 0.000000], [0.337466, -0.239189, -0.431369, -0.032970, -0.270714, -0.481992, 0.321294, 0.482604, 0.000000, 0.000000], [0.607783, 0.329934, -0.409249, -0.224764, -0.009205, 0.384157, 0.151387, -0.364911, 0.000000, 0.000000], [0.324549, -0.244524, 0.120782, 0.838903, 0.182348, 0.156773, 0.229737, -0.076951, 0.000000, 0.000000], [0.480010, -0.171680, 0.319432, -0.275196, 0.576876, -0.410821, -0.230619, -0.087190, 0.000000, 0.000000], [0.043992, -0.553848, 0.080125, -0.330441, 0.142901, 0.629384, 0.099364, 0.386378, 0.000000, 0.000000], [0.383280, 0.231532, 0.657075, -0.038828, -0.560410, 0.074383, -0.033158, 0.213409, 0.000000, 0.000000]]
fourier: [[23.581305, 24.665004, 24.755821, 24.883234, 125.124334], [11.908218, 12.795140, 13.261908, 13.812927, 19.493293], [20.227494, 20.782213, 21.793783, 23.520289, 116.986144], [30.624254, 32.776513, 33.252373, 38.003478, 266.362752], [23.039229, 25.280720, 29.161073, 29.840474, 31.147735], [23.077194, 23.325636, 23.945276, 24.426820, 133.740719], [22.890811, 22.969595, 23.509538, 24.951159, 130.768320], [21.384358, 21.671659, 22.096526, 29.213943, 114.358935]]
### 2
mean: [2.095344, 0.675905, -0.832186, 0.480416, -0.645254, 1.325196, 2.850771, 1.917766]
std: [1.915390, 1.091389, 0.374464, 0.977859, 0.634672, 1.686839, 2.495718, 1.655097]
pca: [[0.473868, -0.053531, -0.072082, 0.684051, -0.331860, -0.045515, 0.239316, -0.360538, 0.000000, 0.000000], [-0.147133, 0.683162, -0.215800, 0.356385, -0.118570, -0.079066, 0.029110, 0.562942, 0.000000, 0.000000], [-0.085334, -0.022884, 0.063643, 0.228339, 0.565867, 0.586976, 0.517337, 0.060184, 0.000000, 0.000000], [-0.095327, 0.655908, 0.458073, -0.173546, 0.001365, -0.038138, 0.139029, -0.547688, 0.000000, 0.000000], [-0.143899, -0.064133, 0.433556, 0.158314, -0.453701, 0.629646, -0.381749, 0.118808, 0.000000, 0.000000], [0.411133, -0.078610, 0.697887, 0.085698, 0.225492, -0.324289, 0.013401, 0.417384, 0.000000, 0.000000], [0.616453, 0.288983, -0.232568, -0.105108, 0.335700, 0.302056, -0.511995, -0.072585, 0.000000, 0.000000], [0.409489, 0.076685, -0.072446, -0.528538, -0.431531, 0.229838, 0.496853, 0.236496, 0.000000, 0.000000]]
fourier: [[30.111034, 30.620157, 30.639635, 34.899025, 188.580949], [17.050125, 17.158597, 18.427608, 20.226515, 60.831451], [6.299148, 6.606252, 6.914756, 7.220536, 74.896716], [14.710136, 14.800242, 16.462885, 16.616154, 43.237440], [9.687121, 10.010759, 10.532693, 12.436631, 58.072874], [25.417530, 26.270404, 26.368277, 29.133975, 119.267632], [38.575541, 39.149357, 39.228916, 46.083626, 256.569443], [26.329900, 26.385604, 26.715123, 30.264786, 172.598940]]
### 4
mean: [3.537344, 0.943383, 3.198746, -0.368993, -1.831183, 1.728276, 0.272485, -2.274420]
std: [3.554630, 1.256380, 3.386435, 0.339261, 1.016614, 2.226165, 0.689017, 1.420550]
pca: [[0.609897, 0.347483, -0.154143, -0.136609, 0.139484, -0.408012, -0.059567, -0.524768, 0.000000, 0.000000], [0.214155, 0.235885, -0.274136, -0.298812, 0.364036, 0.079316, -0.421327, 0.646318, 0.000000, 0.000000], [0.581879, -0.014687, 0.123857, 0.386463, -0.580484, 0.269346, -0.224478, 0.191330, 0.000000, 0.000000], [0.012370, 0.552344, -0.317054, 0.170818, 0.074269, 0.522959, 0.534516, -0.018756, 0.000000, 0.000000], [-0.170549, 0.339716, 0.156565, 0.730123, 0.234743, -0.440571, -0.081942, 0.204921, 0.000000, 0.000000], [0.380703, -0.295493, 0.504063, 0.110524, 0.619219, 0.277391, 0.202632, -0.004123, 0.000000, 0.000000], [0.113621, 0.253750, 0.447805, -0.365394, -0.257020, -0.337554, 0.497598, 0.401314, 0.000000, 0.000000], [-0.237688, 0.501200, 0.553267, -0.186306, -0.030804, 0.310178, -0.432967, -0.258591, 0.000000, 0.000000]]
fourier: [[53.634840, 56.921778, 60.337361, 64.442467, 318.360964], [19.114649, 20.675189, 21.402559, 23.234971, 84.904493], [52.526986, 53.388437, 56.042832, 61.017814, 287.887145], [5.159609, 5.492608, 6.422852, 7.873685, 33.209414], [15.647915, 16.232082, 16.518907, 18.721660, 164.806479], [34.311073, 34.746915, 36.744364, 39.038042, 155.544835], [10.686691, 10.898617, 10.916632, 13.177620, 24.523653], [22.270738, 22.925680, 22.948396, 26.289209, 204.697746]]
### 6
mean: [-0.548700, -3.016887, -1.108719, 4.768459, -0.546877, -0.585395, -0.585220, -1.773910]
std: [0.098820, 3.534737, 1.327054, 4.551039, 0.777902, 0.080277, 1.017200, 2.173944]
pca: [[0.012967, -0.291542, 0.046224, -0.492923, 0.621507, 0.232696, -0.401719, 0.260633, 0.000000, 0.000000], [-0.549913, 0.054863, -0.307730, -0.130620, 0.414490, -0.157322, 0.621479, 0.006235, 0.000000, 0.000000], [-0.206405, 0.023963, -0.084671, 0.609032, 0.283199, -0.476412, -0.411360, 0.319916, 0.000000, 0.000000], [0.707987, 0.308212, -0.417037, -0.165210, 0.228945, -0.370114, 0.111372, 0.027206, 0.000000, 0.000000], [-0.119583, 0.782707, -0.045316, 0.137265, 0.232998, 0.486116, -0.199355, -0.147769, 0.000000, 0.000000], [-0.001734, 0.191294, 0.714252, -0.151171, 0.264771, -0.441642, 0.019163, -0.406049, 0.000000, 0.000000], [-0.157901, 0.403877, 0.212216, -0.380139, -0.333101, -0.184957, 0.018224, 0.690588, 0.000000, 0.000000], [-0.338145, 0.063911, -0.405994, -0.394400, -0.271960, -0.302628, -0.479920, -0.406597, 0.000000, 0.000000]]
fourier: [[1.561177, 1.590663, 1.647153, 1.795608, 49.382977], [54.018786, 56.653675, 58.043866, 63.245429, 271.519760], [20.352503, 21.157306, 21.923801, 23.761646, 99.784744], [69.649830, 72.795304, 73.864115, 82.543046, 429.161344], [12.322944, 12.373259, 12.436417, 12.470161, 49.218889], [1.084814, 1.183593, 1.260988, 1.377213, 52.685565], [15.827896, 15.828214, 16.074815, 17.635473, 52.669756], [33.284181, 34.948205, 35.822989, 38.602309, 159.651876]]
### 8
mean: [1.920401, -0.374057, -0.124380, 0.450832, -0.311393, -0.082776, -0.121863, 1.687806]
std: [1.715135, 1.036186, 0.491137, 0.818463, 0.585982, 0.399897, 0.397291, 1.560473]
pca: [[0.607645, 0.409258, -0.118533, 0.006481, 0.033813, -0.306009, 0.592591, 0.056879, 0.000000, 0.000000], [-0.365791, 0.343959, 0.670062, -0.229011, -0.073391, -0.389251, 0.048916, 0.295238, 0.000000, 0.000000], [-0.167952, 0.437054, 0.088823, 0.129591, -0.531218, 0.614269, 0.251733, -0.182222, 0.000000, 0.000000], [0.290585, 0.045323, 0.280028, 0.804804, -0.110541, -0.048573, -0.325634, 0.258387, 0.000000, 0.000000], [-0.207733, 0.102331, 0.272465, 0.333859, 0.650980, 0.069206, 0.241980, -0.523027, 0.000000, 0.000000], [-0.134394, 0.420967, -0.285426, -0.019228, 0.493339, 0.354532, -0.110968, 0.584378, 0.000000, 0.000000], [-0.127390, 0.556162, -0.365964, 0.037643, -0.089410, -0.381775, -0.481525, -0.391785, 0.000000, 0.000000], [0.553962, 0.155336, 0.401282, -0.412020, 0.154617, 0.314519, -0.417494, -0.202681, 0.000000, 0.000000]]
fourier: [[26.660138, 27.141761, 27.311072, 31.865646, 172.836059], [16.012712, 16.154447, 17.063277, 20.525691, 33.665140], [7.304618, 8.510313, 8.714334, 9.928471, 11.194212], [12.659095, 12.931009, 13.041664, 15.357025, 40.574841], [8.945878, 9.098032, 9.614476, 11.438076, 28.025328], [5.766307, 7.111311, 7.303082, 7.449799, 7.945536], [6.634506, 7.125157, 7.694793, 7.850042, 10.967628], [24.289958, 24.446396, 24.928465, 29.318579, 151.902573]]
### 10
mean: [0.715546, -0.491088, -0.153497, 0.532524, -0.575588, 0.128473, 1.856449, 0.127144]
std: [0.966346, 0.561110, 0.749395, 0.941979, 0.927498, 0.289779, 1.960865, 0.548653]
pca: [[0.346622, -0.315738, 0.164552, -0.291763, 0.489150, 0.302486, -0.455598, -0.360035, 0.000000, 0.000000], [-0.200084, 0.271404, 0.423792, 0.534424, 0.002692, 0.513038, -0.343632, 0.199497, 0.000000, 0.000000], [-0.265948, 0.442588, -0.318907, -0.349229, 0.579414, 0.124922, -0.009985, 0.397868, 0.000000, 0.000000], [0.338485, -0.234009, -0.504695, 0.517177, 0.253602, 0.341094, 0.350919, 0.068376, 0.000000, 0.000000], [-0.334208, -0.004426, -0.268276, -0.322463, -0.397836, 0.650245, 0.130158, -0.338080, 0.000000, 0.000000], [0.103137, 0.139049, 0.577435, -0.137763, 0.231616, 0.161466, 0.724560, -0.113636, 0.000000, 0.000000], [0.703690, 0.608186, -0.091875, -0.131809, -0.299705, 0.101571, -0.094506, 0.006682, 0.000000, 0.000000], [0.192372, -0.432157, 0.151852, -0.315432, -0.242794, 0.232675, 0.015607, 0.735082, 0.000000, 0.000000]]
fourier: [[14.915634, 16.367348, 16.682081, 19.005345, 64.399147], [8.499646, 9.711513, 9.882607, 10.960051, 44.197879], [11.357153, 13.073405, 13.481786, 13.814723, 14.775775], [14.408652, 15.657076, 16.305851, 18.507808, 47.927121], [14.492643, 14.636935, 15.600271, 18.088385, 51.802901], [4.535802, 4.546859, 4.662251, 5.492576, 11.562535], [29.580676, 30.681474, 32.276130, 37.420823, 167.080409], [8.221432, 9.675830, 10.130863, 10.749328, 11.442973]]
### 12
mean: [-1.288060]
std: [1.644331]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.643405, 25.476831, 27.693280, 31.675533, 115.925388]]
## 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": 1.3902703523635864, "std": 1.4605793952941895, "pca": [-0.015019001439213753, 0.6155260801315308, -0.022421609610319138, 0.10733681172132492, 0.4565126895904541, 0.10683484375476837, 0.06861160695552826, 0.619962215423584, 0.0, 0.0], "fourier": [23.581304880937232, 24.665003743910184, 24.755820948433236, 24.883234058410043, 125.12433369457722]}, "1": {"mean": -0.21659214794635773, "std": 0.7206101417541504, "pca": [-0.17863447964191437, 0.0737505853176117, 0.30189645290374756, -0.2160622626543045, 0.13307452201843262, -0.11697974801063538, 0.8672990798950195, -0.20304037630558014, 0.0, 0.0], "fourier": [11.908217812766637, 12.795140327768502, 13.261907567929452, 13.812926665213416, 19.493293344974518]}, "2": {"mean": 1.2998459339141846, "std": 1.2799038887023926, "pca": [0.3374657928943634, -0.23918941617012024, -0.4313686490058899, -0.032970063388347626, -0.27071413397789, -0.48199236392974854, 0.321294367313385, 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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": [[0.590309, 0.285394, -0.030952, 0.108311, -0.074868], [0.146029, 0.099926, -0.310224, -0.089137, -0.1547], [-0.483587, -0.059855, 0.467674, 0.200321, 0.19183], [-0.175739, 0.323649, 0.55679, 0.623925, 0.228095], [-0.051767, -0.625429, 0.272738, 0.344693, 0.419852], [-0.382276, -0.131794, 0.143692, 0.64284, 0.16651], [-0.584685, -0.21008, 0.012622, 0.000391, -0.04239], [0.100875, 0.055739, -0.176571, 0.600625, 0.322692]], "network.0.bias": [0.060337, 0.449564, 0.367624, -0.193839, -0.29861, 0.317834, -0.317486, -0.273605], "network.2.weight": [[-0.514791, 0.300368, 0.341432, 0.406992, 0.064649, 0.54898, -0.210208, -0.097868], [0.520448, -0.278539, -0.11016, 0.156824, -0.123252, -0.314281, 0.018053, 0.109146], [-0.081996, -0.309386, -0.393108, 0.143029, -0.04911, -0.100158, -0.178749, -0.096956], [0.464974, -0.4138, -0.173067, -0.067275, -0.101068, -0.149561, 0.059052, 0.428583], [0.156499, -0.127515, -0.116221, -0.200122, -0.309547, 0.082185, 0.024347, 0.01112], [-0.587476, 0.077954, 0.0251, 0.203902, 0.065851, 0.493227, -0.244327, 0.284071], [-0.43511, 0.26378, 0.298999, 0.490401, 0.595323, 0.542199, -0.610283, 0.065333], [-0.093045, 0.249997, 0.587986, -0.054745, 0.395259, 0.515565, -0.184602, 0.121854]], "network.2.bias": [0.319494, 0.116966, -0.313242, 0.074755, -0.027377, 0.265068, 0.186199, 0.180355], "network.4.weight": [[0.375848, -0.18829, 0.002823, -0.558718, 0.087887, 0.303933, 0.458222, 0.642272], [0.209509, -0.004833, -0.184396, -0.32452, 0.07112, -0.034612, 0.099917, 0.346991], [0.322885, -0.425926, -0.035944, -0.044006, 0.232157, 0.369432, 0.598507, 0.373699], [-0.077849, -0.243478, 0.337738, -0.125216, 0.044523, -0.283318, 0.022396, 0.234106], [-0.331321, -0.033864, 0.146125, -0.042262, 0.133001, -0.031681, -0.273544, 0.169565], [0.467752, -0.106788, 0.574763, 0.049522, 0.517841, 0.439121, 0.038116, 0.392286], [0.042763, -0.16811, 0.258662, -0.094372, -0.338874, 0.326875, 0.097443, -0.15212], [-0.205227, -0.230425, 0.184858, 0.124442, -0.190381, 0.067576, -0.261845, -0.345485]], "network.4.bias": [0.201052, -0.242284, -0.116172, -0.017509, -0.538153, -0.577897, -0.112372, -0.435098], "network.6.weight": [[-0.00771, -0.168166, -0.018039, -0.155554, 0.269636, 0.09697, 0.264122, 0.126796], [-0.237758, -0.356443, -0.376619, -0.478984, 0.038551, -0.475826, -0.297576, -0.384596], [0.091625, -0.145617, -0.431766, -0.1863, -0.167651, 0.053684, -0.403188, -0.052154], [0.500895, 0.249851, 0.600572, 0.072187, 0.372277, 0.285294, 0.104211, 0.477261], [0.315385, -0.012804, -0.278848, -0.188637, -0.177407, -0.356434, -0.278674, -0.479072], [0.086352, 0.286968, -0.212003, -0.360686, 0.074711, -0.040839, 0.318159, -0.193435], [-0.074216, 0.144207, 0.002834, -0.377407, -0.343413, -0.441768, 0.056995, -0.428147], [-0.240474, -0.242056, 0.022664, -0.468198, -0.287075, -0.485382, -0.259834, -0.510599]], "network.6.bias": [-0.538218, 0.373186, 0.13218, 0.175434, -0.091202, -0.547121, 0.236683, 0.148547], "network.8.weight": [[-0.298227, -0.020572, -0.225834, 0.364464, -0.078758, -0.449297, -0.100227, -0.322483], [-0.123666, 0.579668, 0.381856, -0.193621, -0.229448, -0.067585, 0.149952, 0.549477], [-0.231036, 0.400613, 0.565835, -0.07457, 0.233806, -0.040457, -0.002874, 0.326211], [0.088619, -0.252643, -0.071003, 0.161139, -0.366471, 0.147367, -0.184132, 0.032999], [-0.374363, 0.102456, 0.006944, -0.112141, -0.170861, -0.517019, 0.181556, 0.524334], [-0.486809, 0.285893, 0.1145, -0.049086, 0.209636, -0.236335, 0.385283, 0.407062], [-0.094518, 0.369254, 0.347462, -0.039767, 0.224945, -0.275841, 0.434605, 0.344363], [-0.154869, 0.000806, -0.445134, 0.317075, -0.234091, 0.243397, -0.387376, -0.334124]], "network.8.bias": [0.084972, 0.422209, 0.14511, -0.260529, 0.030069, -0.019671, -0.051936, 0.21484], "network.10.weight": [[0.305509, -0.333039, -0.487626, 0.244384, -0.55683, -0.355708, -0.272351, -0.087344], [0.136425, -0.0535, 0.393095, -0.057805, 0.441659, 0.447659, 0.286186, -0.310878], [-0.035798, 0.509328, 0.602219, -0.278264, 0.009799, -0.039229, 0.464386, -0.079338], [0.301542, -0.492094, -0.003739, -0.151774, -0.422216, -0.058032, -0.392197, 0.136852], [-0.224376, 0.548368, 0.342619, -0.296236, 0.224225, -0.117681, -0.037817, -0.062625], [0.219713, -0.101359, 0.010658, 0.270963, -0.108267, 0.02479, -0.103639, -0.209727], [0.420926, -0.339568, 0.007612, 0.068424, -0.053456, -0.581608, -0.5209, 0.570892], [0.045119, -0.133068, -0.378091, 0.222279, -0.339264, -0.395558, -0.503899, -0.020306]], "network.10.bias": [0.238336, -0.214325, 0.082496, -0.117979, 0.00491, -0.051413, 0.147572, 0.009766], "network.12.weight": [[-0.322164, 0.27915, 0.357381, -0.172711, 0.387892, -0.086549, -0.523755, -0.243797]], "network.12.bias": [0.078054]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6947938203811646, "train_acc": 0.545, "val_loss": 0.6930861473083496, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6879870891571045, "train_acc": 0.545, "val_loss": 0.6909313201904297, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6862551867961884, "train_acc": 0.545, "val_loss": 0.6843673586845398, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6720102429389954, "train_acc": 0.545, "val_loss": 0.6645576357841492, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6525080502033234, "train_acc": 0.545, "val_loss": 0.6170902252197266, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5973908007144928, "train_acc": 0.625, "val_loss": 0.5073795914649963, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4809625893831253, "train_acc": 0.895, "val_loss": 0.3784221410751343, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3602399080991745, "train_acc": 0.895, "val_loss": 0.2756030559539795, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.2599015533924103, "train_acc": 0.93, "val_loss": 0.2274674028158188, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.20028246939182281, "train_acc": 0.93, "val_loss": 0.20742584764957428, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.17899716645479202, "train_acc": 0.93, "val_loss": 0.2328951507806778, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.19733286648988724, "train_acc": 0.94, "val_loss": 0.22882433235645294, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.16175275295972824, "train_acc": 0.945, "val_loss": 0.18647022545337677, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.16405533254146576, "train_acc": 0.945, "val_loss": 0.1699095368385315, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.16242336481809616, "train_acc": 0.95, "val_loss": 0.16554680466651917, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6930861473083496, "final_val_loss": 0.6170902252197266, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5073795914649963, "final_val_loss": 0.16554680466651917, "initial_val_acc": 0.9, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.43999999999999995, "first_improvement_epoch": 4}}
|
9,941
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.54, "improved_accuracy": 0.72, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8951, "learning_rate": 0.06162065829168988, "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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"network.10.weight": [
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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: [-0.259792, 1.695920, 1.356769, 0.964680, -1.214890, -4.644022, 1.619228]
std: [0.979720, 1.602419, 1.614586, 1.163197, 1.027475, 2.718161, 1.713510]
pca: [[-0.073938, -0.109940, 0.620966, -0.060491, 0.569450, 0.509407, -0.097052, 0.000000, 0.000000, 0.000000], [-0.351126, 0.462869, -0.172613, 0.014264, 0.578105, -0.445412, -0.316017, 0.000000, 0.000000, 0.000000], [-0.267527, -0.516117, -0.468087, -0.136053, 0.415300, 0.035367, 0.500710, 0.000000, 0.000000, 0.000000], [-0.233208, 0.074599, 0.509371, -0.508648, -0.144416, -0.453411, 0.442074, 0.000000, 0.000000, 0.000000], [0.140882, -0.117463, 0.287771, 0.783291, 0.149438, -0.365352, 0.337911, 0.000000, 0.000000, 0.000000], [0.807387, 0.277591, -0.111349, -0.265089, 0.343204, -0.052684, 0.260452, 0.000000, 0.000000, 0.000000], [-0.271231, 0.640991, -0.104071, 0.187315, -0.089832, 0.446119, 0.512401, 0.000000, 0.000000, 0.000000]]
fourier: [[16.005941, 16.013707, 16.015583, 18.364112, 23.381302], [25.514093, 26.676068, 28.187898, 31.331197, 152.632805], [28.574401, 30.924462, 32.046361, 37.627391, 122.109196], [16.664209, 17.117156, 18.265997, 27.238391, 86.821249], [15.674860, 16.085745, 17.118644, 17.843419, 109.340136], [41.602244, 46.866352, 48.550245, 56.718356, 417.962029], [25.229671, 25.763108, 26.705330, 28.631691, 145.730542]]
### 2
mean: [-1.569210, 0.452421, -0.062138, 0.442913, 0.803818, -2.235288, -0.285219]
std: [1.008177, 1.111155, 0.247311, 1.463507, 1.276798, 1.523580, 0.274371]
pca: [[-0.242146, 0.494343, 0.214090, 0.770838, -0.095107, -0.154747, 0.154834, 0.000000, 0.000000, 0.000000], [-0.380479, -0.268387, 0.790886, -0.088046, 0.202266, 0.325411, 0.056094, 0.000000, 0.000000, 0.000000], [0.021767, -0.055836, -0.293177, 0.369189, 0.664450, 0.442585, -0.369838, 0.000000, 0.000000, 0.000000], [0.542346, 0.431563, 0.426826, -0.109026, -0.094790, 0.078163, -0.557183, 0.000000, 0.000000, 0.000000], [0.534598, 0.186346, 0.100053, -0.043808, 0.341300, 0.187790, 0.718193, 0.000000, 0.000000, 0.000000], [-0.460763, 0.667035, -0.136816, -0.497366, 0.273901, 0.035820, 0.019096, 0.000000, 0.000000, 0.000000], [-0.062375, 0.120701, -0.178330, 0.024035, -0.555029, 0.794747, 0.097375, 0.000000, 0.000000, 0.000000]]
fourier: [[15.711445, 16.048025, 16.702565, 17.015384, 141.228921], [17.483114, 17.941695, 17.978304, 21.964273, 40.717872], [3.526828, 3.609908, 3.863950, 5.064979, 5.592394], [20.620114, 22.290426, 24.944444, 33.682153, 39.862213], [17.902131, 19.963820, 22.415872, 25.435374, 72.343654], [23.671358, 25.587151, 25.824715, 29.053984, 201.175884], [3.785172, 3.825414, 5.509371, 6.183084, 25.669736]]
### 4
mean: [0.575952, 0.866053, -0.345729, -0.434107, 0.396482, 0.868700, -0.460952]
std: [0.495304, 1.246048, 0.232874, 0.305320, 0.839595, 1.014520, 0.183966]
pca: [[-0.233234, 0.566729, 0.446266, 0.091707, 0.447230, -0.018806, -0.465282, 0.000000, 0.000000, 0.000000], [0.661442, 0.141831, 0.175953, -0.353728, 0.294080, 0.508794, 0.202339, 0.000000, 0.000000, 0.000000], [-0.099690, -0.239123, 0.792393, -0.300402, -0.462421, -0.025735, 0.016072, 0.000000, 0.000000, 0.000000], [-0.127169, -0.475189, 0.212981, -0.027604, 0.687079, -0.334448, 0.357725, 0.000000, 0.000000, 0.000000], [-0.439891, 0.356681, 0.092781, 0.210334, -0.061332, 0.338579, 0.712762, 0.000000, 0.000000, 0.000000], [0.537069, 0.201367, 0.252423, 0.592627, -0.140600, -0.434804, 0.217395, 0.000000, 0.000000, 0.000000], [-0.006255, -0.456013, 0.155927, 0.616454, 0.063733, 0.569708, -0.243014, 0.000000, 0.000000, 0.000000]]
fourier: [[6.907239, 7.234445, 9.198299, 10.343218, 51.835669], [18.876108, 20.055587, 22.338729, 25.206838, 77.944747], [3.642319, 3.702118, 4.282657, 4.625794, 31.115577], [4.634320, 5.519973, 5.537339, 6.567930, 39.069601], [12.793328, 13.169370, 16.517886, 16.619441, 35.683381], [15.715419, 17.335471, 17.962145, 20.137302, 78.183029], [2.920134, 3.238421, 3.497572, 3.692320, 41.485692]]
### 6
mean: [0.679042, 0.132993, 0.610481, -0.464291, -0.875484, 0.730742, 0.604534]
std: [0.710407, 1.044571, 1.078908, 0.151711, 0.211766, 0.220457, 0.924823]
pca: [[0.370933, -0.278519, -0.149870, 0.103835, 0.477419, 0.681872, 0.242312, 0.000000, 0.000000, 0.000000], [0.547461, 0.326868, -0.226467, 0.547052, 0.077421, -0.192770, -0.446918, 0.000000, 0.000000, 0.000000], [0.563632, -0.392599, 0.640195, -0.009288, -0.307823, -0.135071, 0.072454, 0.000000, 0.000000, 0.000000], [0.037724, 0.350701, 0.475661, -0.448391, 0.445569, 0.152685, -0.475851, 0.000000, 0.000000, 0.000000], [0.004327, 0.574277, 0.347029, 0.272461, 0.186063, -0.096720, 0.656924, 0.000000, 0.000000, 0.000000], [0.099237, -0.312741, -0.146279, -0.172105, 0.610115, -0.668226, 0.150207, 0.000000, 0.000000, 0.000000], [-0.483450, -0.332954, 0.385127, 0.620449, 0.256770, 0.021290, -0.236123, 0.000000, 0.000000, 0.000000]]
fourier: [[11.354199, 11.793393, 12.374810, 14.284929, 61.113807], [14.260968, 15.134880, 16.176970, 19.738488, 20.269085], [17.688788, 17.830516, 19.251437, 21.908583, 54.943308], [2.163954, 2.604341, 2.710144, 2.875507, 41.786158], [3.724326, 3.808945, 3.943749, 4.209835, 78.793595], [3.618613, 3.665149, 4.115330, 4.165996, 65.766784], [13.289832, 14.537344, 17.552512, 17.829699, 54.408096]]
### 8
mean: [-0.016852, 0.350774, -0.275407, 0.072575, 0.161695, 0.319399, 0.095613]
std: [0.834765, 0.668523, 0.523583, 0.935159, 0.783632, 1.230183, 1.128000]
pca: [[0.347905, -0.439720, -0.459903, -0.566762, 0.063675, 0.274346, 0.271215, 0.000000, 0.000000, 0.000000], [0.260186, 0.811631, 0.096744, -0.255343, -0.030901, 0.246468, 0.370537, 0.000000, 0.000000, 0.000000], [0.220361, -0.155891, -0.064432, 0.724079, -0.047752, 0.522865, 0.350755, 0.000000, 0.000000, 0.000000], [0.393652, -0.281174, 0.639209, -0.124356, -0.552415, -0.138298, 0.132808, 0.000000, 0.000000, 0.000000], [-0.330570, -0.183504, 0.344268, -0.058898, 0.483291, -0.202491, 0.678593, 0.000000, 0.000000, 0.000000], [0.520466, -0.038491, 0.347937, 0.013781, 0.671910, 0.108198, -0.378436, 0.000000, 0.000000, 0.000000], [-0.477058, -0.096875, 0.356102, -0.264891, -0.050149, 0.720253, -0.211603, 0.000000, 0.000000, 0.000000]]
fourier: [[11.386438, 11.981314, 12.768277, 15.068484, 15.827761], [10.806225, 11.698508, 13.185730, 13.211743, 31.569645], [7.742285, 8.316082, 9.704196, 10.210371, 24.786602], [12.826246, 13.841649, 14.904861, 16.926929, 18.228274], [12.644355, 12.758039, 13.974360, 14.552564, 15.764250], [19.208083, 19.830570, 22.112211, 24.442295, 28.745875], [17.085165, 17.988251, 18.141882, 20.320950, 22.544168]]
### 10
mean: [0.134525, -0.030905, -0.183266, -0.149213, 0.121215, -0.200375, 0.002773]
std: [1.323841, 0.455914, 0.906603, 1.375895, 0.841607, 1.201336, 0.416667]
pca: [[-0.500544, 0.115475, 0.259781, 0.470152, 0.244770, 0.393446, 0.482576, 0.000000, 0.000000, 0.000000], [0.171686, 0.476720, 0.626784, 0.015286, 0.281779, -0.520309, -0.007013, 0.000000, 0.000000, 0.000000], [0.342741, -0.133746, 0.344691, 0.629633, -0.462312, 0.178254, -0.322311, 0.000000, 0.000000, 0.000000], [0.520219, -0.030169, -0.376573, 0.347046, 0.045067, -0.283368, 0.619585, 0.000000, 0.000000, 0.000000], [-0.317701, 0.663082, -0.448682, 0.281460, -0.316269, -0.198128, -0.198926, 0.000000, 0.000000, 0.000000], [0.454032, 0.548538, 0.003383, -0.276480, -0.016631, 0.638061, 0.095440, 0.000000, 0.000000, 0.000000], [0.157484, -0.005735, -0.278764, 0.325859, 0.737985, 0.126612, -0.480230, 0.000000, 0.000000, 0.000000]]
fourier: [[21.273051, 21.319205, 22.272776, 22.518054, 26.678042], [7.453440, 7.705200, 7.839053, 8.011963, 9.229327], [14.708345, 15.068421, 15.664534, 16.493967, 18.338456], [22.125028, 22.175923, 23.250254, 23.316472, 27.717006], [13.142068, 13.573420, 13.610083, 14.787833, 17.071151], [19.409873, 20.013429, 20.275782, 20.502114, 24.203412], [6.651798, 6.699296, 6.980905, 7.092003, 8.387351]]
### 12
mean: [-0.067120]
std: [0.689180]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.802347, 10.330567, 10.680387, 11.688080, 13.850058]]
## 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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0.436229,
-0.078273,
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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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0.459181,
-0.265864
]
],
"network.0.bias": [
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0.398454,
-0.108946,
-0.558897,
-0.702997,
-0.165807
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"network.2.weight": [
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0.088097,
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[
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0.23858,
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],
[
0.130735,
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[
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],
[
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0.099578,
0.301943,
0.353774
],
[
-0.374707,
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],
[
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0.000375,
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0.026465,
-0.075657
]
],
"network.2.bias": [
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0.624457,
-0.150089,
0.04211,
0.014298,
-0.183092,
0.079321
],
"network.4.weight": [
[
0.068107,
0.438101,
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0.018181
],
[
0.064036,
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0.096218,
0.514372,
0.60161,
0.120778,
-0.093574
],
[
-0.109898,
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-0.353172,
0.123536,
0.486948,
-0.25176
],
[
0.17175,
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0.016589,
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],
[
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],
[
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0.506108,
0.698176,
0.212104
],
[
0.214753,
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0.009331,
0.208407,
0.323085
]
],
"network.4.bias": [
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[
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0.12734,
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[
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0.214017,
0.518433,
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[
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0.118786,
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[
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0.194088,
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0.001214
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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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0.117459,
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],
[
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0.351376,
0.015401,
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[
0.039303,
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0.132335,
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],
[
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0.130091,
0.020024,
0.312928,
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[
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0.252224
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[
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[
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0.460924
]
],
"network.8.bias": [
0.188437,
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0.039106,
0.097639
],
"network.10.weight": [
[
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],
[
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0.031905,
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0.422905,
-0.015549,
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],
[
0.172766,
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0.328415,
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0.259409
],
[
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0.56171,
-0.613437,
0.178435
],
[
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0.631531,
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-0.044724,
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],
[
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0.245247,
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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: [-0.259792, 1.695920, 1.356769, 0.964680, -1.214890, -4.644022, 1.619228]
std: [0.979720, 1.602419, 1.614586, 1.163197, 1.027475, 2.718161, 1.713510]
pca: [[-0.073938, -0.109940, 0.620966, -0.060491, 0.569450, 0.509407, -0.097052, 0.000000, 0.000000, 0.000000], [-0.351126, 0.462869, -0.172613, 0.014264, 0.578105, -0.445412, -0.316017, 0.000000, 0.000000, 0.000000], [-0.267527, -0.516117, -0.468087, -0.136053, 0.415300, 0.035367, 0.500710, 0.000000, 0.000000, 0.000000], [-0.233208, 0.074599, 0.509371, -0.508648, -0.144416, -0.453411, 0.442074, 0.000000, 0.000000, 0.000000], [0.140882, -0.117463, 0.287771, 0.783291, 0.149438, -0.365352, 0.337911, 0.000000, 0.000000, 0.000000], [0.807387, 0.277591, -0.111349, -0.265089, 0.343204, -0.052684, 0.260452, 0.000000, 0.000000, 0.000000], [-0.271231, 0.640991, -0.104071, 0.187315, -0.089832, 0.446119, 0.512401, 0.000000, 0.000000, 0.000000]]
fourier: [[16.005941, 16.013707, 16.015583, 18.364112, 23.381302], [25.514093, 26.676068, 28.187898, 31.331197, 152.632805], [28.574401, 30.924462, 32.046361, 37.627391, 122.109196], [16.664209, 17.117156, 18.265997, 27.238391, 86.821249], [15.674860, 16.085745, 17.118644, 17.843419, 109.340136], [41.602244, 46.866352, 48.550245, 56.718356, 417.962029], [25.229671, 25.763108, 26.705330, 28.631691, 145.730542]]
### 2
mean: [-1.569210, 0.452421, -0.062138, 0.442913, 0.803818, -2.235288, -0.285219]
std: [1.008177, 1.111155, 0.247311, 1.463507, 1.276798, 1.523580, 0.274371]
pca: [[-0.242146, 0.494343, 0.214090, 0.770838, -0.095107, -0.154747, 0.154834, 0.000000, 0.000000, 0.000000], [-0.380479, -0.268387, 0.790886, -0.088046, 0.202266, 0.325411, 0.056094, 0.000000, 0.000000, 0.000000], [0.021767, -0.055836, -0.293177, 0.369189, 0.664450, 0.442585, -0.369838, 0.000000, 0.000000, 0.000000], [0.542346, 0.431563, 0.426826, -0.109026, -0.094790, 0.078163, -0.557183, 0.000000, 0.000000, 0.000000], [0.534598, 0.186346, 0.100053, -0.043808, 0.341300, 0.187790, 0.718193, 0.000000, 0.000000, 0.000000], [-0.460763, 0.667035, -0.136816, -0.497366, 0.273901, 0.035820, 0.019096, 0.000000, 0.000000, 0.000000], [-0.062375, 0.120701, -0.178330, 0.024035, -0.555029, 0.794747, 0.097375, 0.000000, 0.000000, 0.000000]]
fourier: [[15.711445, 16.048025, 16.702565, 17.015384, 141.228921], [17.483114, 17.941695, 17.978304, 21.964273, 40.717872], [3.526828, 3.609908, 3.863950, 5.064979, 5.592394], [20.620114, 22.290426, 24.944444, 33.682153, 39.862213], [17.902131, 19.963820, 22.415872, 25.435374, 72.343654], [23.671358, 25.587151, 25.824715, 29.053984, 201.175884], [3.785172, 3.825414, 5.509371, 6.183084, 25.669736]]
### 4
mean: [0.575952, 0.866053, -0.345729, -0.434107, 0.396482, 0.868700, -0.460952]
std: [0.495304, 1.246048, 0.232874, 0.305320, 0.839595, 1.014520, 0.183966]
pca: [[-0.233234, 0.566729, 0.446266, 0.091707, 0.447230, -0.018806, -0.465282, 0.000000, 0.000000, 0.000000], [0.661442, 0.141831, 0.175953, -0.353728, 0.294080, 0.508794, 0.202339, 0.000000, 0.000000, 0.000000], [-0.099690, -0.239123, 0.792393, -0.300402, -0.462421, -0.025735, 0.016072, 0.000000, 0.000000, 0.000000], [-0.127169, -0.475189, 0.212981, -0.027604, 0.687079, -0.334448, 0.357725, 0.000000, 0.000000, 0.000000], [-0.439891, 0.356681, 0.092781, 0.210334, -0.061332, 0.338579, 0.712762, 0.000000, 0.000000, 0.000000], [0.537069, 0.201367, 0.252423, 0.592627, -0.140600, -0.434804, 0.217395, 0.000000, 0.000000, 0.000000], [-0.006255, -0.456013, 0.155927, 0.616454, 0.063733, 0.569708, -0.243014, 0.000000, 0.000000, 0.000000]]
fourier: [[6.907239, 7.234445, 9.198299, 10.343218, 51.835669], [18.876108, 20.055587, 22.338729, 25.206838, 77.944747], [3.642319, 3.702118, 4.282657, 4.625794, 31.115577], [4.634320, 5.519973, 5.537339, 6.567930, 39.069601], [12.793328, 13.169370, 16.517886, 16.619441, 35.683381], [15.715419, 17.335471, 17.962145, 20.137302, 78.183029], [2.920134, 3.238421, 3.497572, 3.692320, 41.485692]]
### 6
mean: [0.679042, 0.132993, 0.610481, -0.464291, -0.875484, 0.730742, 0.604534]
std: [0.710407, 1.044571, 1.078908, 0.151711, 0.211766, 0.220457, 0.924823]
pca: [[0.370933, -0.278519, -0.149870, 0.103835, 0.477419, 0.681872, 0.242312, 0.000000, 0.000000, 0.000000], [0.547461, 0.326868, -0.226467, 0.547052, 0.077421, -0.192770, -0.446918, 0.000000, 0.000000, 0.000000], [0.563632, -0.392599, 0.640195, -0.009288, -0.307823, -0.135071, 0.072454, 0.000000, 0.000000, 0.000000], [0.037724, 0.350701, 0.475661, -0.448391, 0.445569, 0.152685, -0.475851, 0.000000, 0.000000, 0.000000], [0.004327, 0.574277, 0.347029, 0.272461, 0.186063, -0.096720, 0.656924, 0.000000, 0.000000, 0.000000], [0.099237, -0.312741, -0.146279, -0.172105, 0.610115, -0.668226, 0.150207, 0.000000, 0.000000, 0.000000], [-0.483450, -0.332954, 0.385127, 0.620449, 0.256770, 0.021290, -0.236123, 0.000000, 0.000000, 0.000000]]
fourier: [[11.354199, 11.793393, 12.374810, 14.284929, 61.113807], [14.260968, 15.134880, 16.176970, 19.738488, 20.269085], [17.688788, 17.830516, 19.251437, 21.908583, 54.943308], [2.163954, 2.604341, 2.710144, 2.875507, 41.786158], [3.724326, 3.808945, 3.943749, 4.209835, 78.793595], [3.618613, 3.665149, 4.115330, 4.165996, 65.766784], [13.289832, 14.537344, 17.552512, 17.829699, 54.408096]]
### 8
mean: [-0.016852, 0.350774, -0.275407, 0.072575, 0.161695, 0.319399, 0.095613]
std: [0.834765, 0.668523, 0.523583, 0.935159, 0.783632, 1.230183, 1.128000]
pca: [[0.347905, -0.439720, -0.459903, -0.566762, 0.063675, 0.274346, 0.271215, 0.000000, 0.000000, 0.000000], [0.260186, 0.811631, 0.096744, -0.255343, -0.030901, 0.246468, 0.370537, 0.000000, 0.000000, 0.000000], [0.220361, -0.155891, -0.064432, 0.724079, -0.047752, 0.522865, 0.350755, 0.000000, 0.000000, 0.000000], [0.393652, -0.281174, 0.639209, -0.124356, -0.552415, -0.138298, 0.132808, 0.000000, 0.000000, 0.000000], [-0.330570, -0.183504, 0.344268, -0.058898, 0.483291, -0.202491, 0.678593, 0.000000, 0.000000, 0.000000], [0.520466, -0.038491, 0.347937, 0.013781, 0.671910, 0.108198, -0.378436, 0.000000, 0.000000, 0.000000], [-0.477058, -0.096875, 0.356102, -0.264891, -0.050149, 0.720253, -0.211603, 0.000000, 0.000000, 0.000000]]
fourier: [[11.386438, 11.981314, 12.768277, 15.068484, 15.827761], [10.806225, 11.698508, 13.185730, 13.211743, 31.569645], [7.742285, 8.316082, 9.704196, 10.210371, 24.786602], [12.826246, 13.841649, 14.904861, 16.926929, 18.228274], [12.644355, 12.758039, 13.974360, 14.552564, 15.764250], [19.208083, 19.830570, 22.112211, 24.442295, 28.745875], [17.085165, 17.988251, 18.141882, 20.320950, 22.544168]]
### 10
mean: [0.134525, -0.030905, -0.183266, -0.149213, 0.121215, -0.200375, 0.002773]
std: [1.323841, 0.455914, 0.906603, 1.375895, 0.841607, 1.201336, 0.416667]
pca: [[-0.500544, 0.115475, 0.259781, 0.470152, 0.244770, 0.393446, 0.482576, 0.000000, 0.000000, 0.000000], [0.171686, 0.476720, 0.626784, 0.015286, 0.281779, -0.520309, -0.007013, 0.000000, 0.000000, 0.000000], [0.342741, -0.133746, 0.344691, 0.629633, -0.462312, 0.178254, -0.322311, 0.000000, 0.000000, 0.000000], [0.520219, -0.030169, -0.376573, 0.347046, 0.045067, -0.283368, 0.619585, 0.000000, 0.000000, 0.000000], [-0.317701, 0.663082, -0.448682, 0.281460, -0.316269, -0.198128, -0.198926, 0.000000, 0.000000, 0.000000], [0.454032, 0.548538, 0.003383, -0.276480, -0.016631, 0.638061, 0.095440, 0.000000, 0.000000, 0.000000], [0.157484, -0.005735, -0.278764, 0.325859, 0.737985, 0.126612, -0.480230, 0.000000, 0.000000, 0.000000]]
fourier: [[21.273051, 21.319205, 22.272776, 22.518054, 26.678042], [7.453440, 7.705200, 7.839053, 8.011963, 9.229327], [14.708345, 15.068421, 15.664534, 16.493967, 18.338456], [22.125028, 22.175923, 23.250254, 23.316472, 27.717006], [13.142068, 13.573420, 13.610083, 14.787833, 17.071151], [19.409873, 20.013429, 20.275782, 20.502114, 24.203412], [6.651798, 6.699296, 6.980905, 7.092003, 8.387351]]
### 12
mean: [-0.067120]
std: [0.689180]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.802347, 10.330567, 10.680387, 11.688080, 13.850058]]
## 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": 0.6869746446609497, "train_acc": 0.57, "val_loss": 0.7016794681549072, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6862015426158905, "train_acc": 0.56, "val_loss": 0.6906673908233643, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6705975532531738, "train_acc": 0.57, "val_loss": 0.6923340559005737, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6493342518806458, "train_acc": 0.57, "val_loss": 0.6142370700836182, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6267828047275543, "train_acc": 0.61, "val_loss": 0.6625227332115173, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5839849710464478, "train_acc": 0.735, "val_loss": 0.6466302275657654, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5906818509101868, "train_acc": 0.715, "val_loss": 0.5603447556495667, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.639447420835495, "train_acc": 0.59, "val_loss": 0.5528458952903748, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.6228943765163422, "train_acc": 0.59, "val_loss": 0.5386624336242676, "val_acc": 0.66}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5753929018974304, "train_acc": 0.675, "val_loss": 0.5033769011497498, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5275004208087921, "train_acc": 0.77, "val_loss": 0.5565100908279419, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5555324852466583, "train_acc": 0.78, "val_loss": 0.5791420936584473, "val_acc": 0.7}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.6011986434459686, "train_acc": 0.765, "val_loss": 0.5805563926696777, "val_acc": 0.72}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7016794681549072, "final_val_loss": 0.6142370700836182, "initial_val_acc": 0.5, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6625227332115173, "final_val_loss": 0.5805563926696777, "initial_val_acc": 0.72, "final_val_acc": 0.72, "best_val_acc": 0.72, "best_epoch": 4}, "improvement": 0.17999999999999994, "first_improvement_epoch": 3}}
|
9,942
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.78, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6812, "learning_rate": 0.09318649116033154, "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: 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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"network.2.weight": [
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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: [-2.055670, 0.557701, 0.898913, 2.613046, -4.031009, -2.069812, -3.210076]
std: [1.417746, 1.371369, 1.334950, 2.862195, 2.492045, 1.549379, 1.881553]
pca: [[-0.296582, 0.201209, 0.412408, -0.275494, 0.105716, -0.148814, 0.769581, 0.000000, 0.000000, 0.000000], [0.064400, 0.425689, 0.505581, 0.144944, 0.132162, 0.696289, -0.189039, 0.000000, 0.000000, 0.000000], [0.054830, -0.426395, 0.297918, 0.472683, 0.684376, -0.185678, 0.012257, 0.000000, 0.000000, 0.000000], [0.555206, 0.636663, -0.061942, -0.015871, 0.267134, -0.456575, -0.049963, 0.000000, 0.000000, 0.000000], [-0.538481, 0.401645, -0.163630, 0.679922, -0.156027, -0.187864, 0.003659, 0.000000, 0.000000, 0.000000], [-0.353692, 0.024639, 0.495559, -0.305284, -0.066309, -0.426486, -0.590958, 0.000000, 0.000000, 0.000000], [-0.426112, 0.170955, -0.457562, -0.352025, 0.634732, 0.181427, -0.141839, 0.000000, 0.000000, 0.000000]]
fourier: [[22.149385, 25.192132, 25.761903, 28.599717, 185.010258], [19.680032, 21.446517, 22.476562, 24.574984, 50.193051], [20.957790, 23.172822, 23.866333, 25.891924, 80.902136], [43.648103, 50.762540, 51.172437, 51.265865, 235.174181], [39.783622, 40.311668, 47.217951, 47.902349, 362.790822], [22.747322, 26.641620, 26.806723, 32.141112, 186.283051], [29.169107, 30.253186, 36.403777, 36.560163, 288.906778]]
### 2
mean: [-1.786528, 1.132037, -0.027596, -1.197856, -2.163126, -0.805132, 0.078042]
std: [1.415330, 2.138387, 1.083597, 0.565172, 1.767489, 0.561008, 1.172447]
pca: [[-0.390282, -0.421655, 0.550303, 0.056541, -0.012983, 0.274461, -0.536991, 0.000000, 0.000000, 0.000000], [0.615162, -0.302116, 0.201185, -0.128694, 0.639225, 0.238177, 0.089032, 0.000000, 0.000000, 0.000000], [-0.291135, 0.377442, 0.580516, -0.052941, 0.397540, -0.453538, 0.263135, 0.000000, 0.000000, 0.000000], [-0.112057, -0.428503, -0.140920, 0.793843, 0.182313, -0.274776, 0.212234, 0.000000, 0.000000, 0.000000], [-0.500817, -0.402104, -0.177235, -0.415801, 0.100738, 0.226031, 0.567411, 0.000000, 0.000000, 0.000000], [-0.149428, -0.176974, -0.428807, -0.325701, 0.388446, -0.509455, -0.495943, 0.000000, 0.000000, 0.000000], [-0.314313, 0.460270, -0.290767, 0.261305, 0.488782, 0.525461, -0.146683, 0.000000, 0.000000, 0.000000]]
fourier: [[23.203923, 24.290484, 25.588150, 26.625333, 160.787573], [31.903514, 33.681391, 38.310720, 38.671643, 101.883297], [16.080726, 16.200658, 16.383220, 19.633189, 23.706762], [8.484519, 8.551035, 10.502041, 11.517908, 107.807009], [26.866877, 28.912281, 30.216391, 32.836550, 194.681363], [9.171261, 9.774889, 10.263278, 10.314022, 72.461912], [16.254366, 16.562177, 18.085903, 18.627498, 21.236357]]
### 4
mean: [-0.327086, 1.127203, 0.280918, 0.161769, 0.049885, -0.477331, 0.014967]
std: [0.739982, 1.379630, 0.998936, 1.024184, 0.659923, 0.303549, 0.526763]
pca: [[-0.322612, 0.277830, -0.419147, -0.208789, 0.170512, 0.494757, 0.570610, 0.000000, 0.000000, 0.000000], [0.605170, -0.376544, 0.170308, 0.129683, -0.079556, 0.072143, 0.659263, 0.000000, 0.000000, 0.000000], [-0.440760, -0.073903, 0.038913, 0.872552, -0.089395, -0.011287, 0.171141, 0.000000, 0.000000, 0.000000], [-0.442967, -0.499029, 0.121772, -0.281697, 0.433135, -0.459776, 0.248132, 0.000000, 0.000000, 0.000000], [0.290387, 0.128021, 0.030248, 0.280788, 0.876478, 0.152597, -0.167418, 0.000000, 0.000000, 0.000000], [-0.062513, 0.649105, 0.646016, -0.065612, 0.025359, -0.245035, 0.304020, 0.000000, 0.000000, 0.000000], [-0.225766, -0.298005, 0.600597, -0.125471, -0.011889, 0.674657, -0.168701, 0.000000, 0.000000, 0.000000]]
fourier: [[11.414876, 11.677103, 12.005308, 14.049978, 29.437700], [20.873378, 22.300446, 22.804868, 26.057704, 101.448279], [14.819435, 16.191185, 18.143238, 18.779263, 25.282591], [14.603721, 15.163808, 16.259077, 17.336174, 21.538108], [9.022539, 9.687386, 10.688815, 11.756642, 12.868206], [4.691864, 4.759582, 5.283225, 7.046186, 42.959810], [7.632427, 8.110163, 8.159373, 8.939805, 11.258204]]
### 6
mean: [-0.538728, 0.573233, 0.748931, 0.898391, 0.495718, -0.068095, 0.864759]
std: [0.286511, 0.823296, 1.067397, 0.934471, 1.067593, 0.670778, 1.386153]
pca: [[-0.096503, -0.398232, 0.566838, -0.048056, 0.017644, 0.536354, 0.469571, 0.000000, 0.000000, 0.000000], [0.331995, 0.055841, 0.454784, 0.597908, 0.501835, -0.236212, -0.121261, 0.000000, 0.000000, 0.000000], [0.430376, 0.158457, 0.084503, 0.172927, -0.437381, 0.565714, -0.491213, 0.000000, 0.000000, 0.000000], [0.369756, 0.486823, 0.281810, -0.129380, -0.423705, -0.309456, 0.504815, 0.000000, 0.000000, 0.000000], [-0.417840, 0.686843, 0.304408, -0.267257, 0.311309, 0.241314, -0.185524, 0.000000, 0.000000, 0.000000], [-0.266434, 0.303174, -0.385427, 0.658989, -0.059650, 0.285167, 0.411582, 0.000000, 0.000000, 0.000000], [0.559416, 0.111893, -0.379591, -0.296414, 0.525881, 0.318089, 0.254660, 0.000000, 0.000000, 0.000000]]
fourier: [[4.807585, 4.854461, 5.329920, 5.383090, 48.485572], [12.245377, 13.329808, 15.810920, 15.910541, 51.591011], [15.910020, 17.226441, 20.148135, 20.426824, 67.403765], [14.198204, 15.132487, 15.323840, 18.420445, 80.855187], [16.016446, 17.226560, 18.082207, 24.351063, 44.614604], [9.657923, 10.146338, 10.154430, 12.129130, 14.859465], [20.591543, 22.312769, 25.965176, 26.783939, 77.828291]]
### 8
mean: [1.755472, -0.596034, -0.674341, 0.783489, -0.421283, 1.391073, -0.424247]
std: [1.842304, 2.050276, 0.412706, 0.883737, 0.476610, 1.886703, 0.970042]
pca: [[-0.503368, 0.791578, 0.095328, -0.101588, -0.233862, 0.060833, -0.205488, 0.000000, 0.000000, 0.000000], [0.563202, 0.479945, 0.208806, -0.245072, 0.590404, -0.002326, 0.014619, 0.000000, 0.000000, 0.000000], [0.112530, -0.161018, 0.755024, -0.416715, -0.420256, 0.108979, 0.170895, 0.000000, 0.000000, 0.000000], [-0.243086, -0.121164, 0.301298, 0.326975, 0.364573, 0.767519, -0.080847, 0.000000, 0.000000, 0.000000], [0.129221, 0.285761, 0.095094, 0.564936, -0.173060, -0.032178, 0.736520, 0.000000, 0.000000, 0.000000], [-0.519306, -0.142482, 0.372009, 0.024945, 0.483630, -0.555595, 0.168593, 0.000000, 0.000000, 0.000000], [0.267009, 0.022083, 0.372877, 0.573829, -0.152826, -0.292594, -0.592397, 0.000000, 0.000000, 0.000000]]
fourier: [[28.592097, 28.899483, 29.191822, 37.350449, 157.992477], [31.086531, 31.949040, 38.597416, 40.545968, 53.643044], [6.387896, 6.422868, 6.542886, 8.160070, 60.690727], [13.398084, 14.134331, 16.168257, 17.574004, 70.514058], [7.079392, 7.359993, 9.226523, 9.807330, 37.915451], [28.591686, 29.982995, 34.020059, 37.679672, 125.196601], [14.621989, 15.207702, 17.365081, 19.434775, 38.182264]]
### 10
mean: [-1.572428]
std: [2.276968]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.706083, 34.803874, 39.708319, 46.428913, 141.518541]]
## 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: 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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0.141342,
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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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0.016315
]
],
"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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0.02
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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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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.055670, 0.557701, 0.898913, 2.613046, -4.031009, -2.069812, -3.210076]
std: [1.417746, 1.371369, 1.334950, 2.862195, 2.492045, 1.549379, 1.881553]
pca: [[-0.296582, 0.201209, 0.412408, -0.275494, 0.105716, -0.148814, 0.769581, 0.000000, 0.000000, 0.000000], [0.064400, 0.425689, 0.505581, 0.144944, 0.132162, 0.696289, -0.189039, 0.000000, 0.000000, 0.000000], [0.054830, -0.426395, 0.297918, 0.472683, 0.684376, -0.185678, 0.012257, 0.000000, 0.000000, 0.000000], [0.555206, 0.636663, -0.061942, -0.015871, 0.267134, -0.456575, -0.049963, 0.000000, 0.000000, 0.000000], [-0.538481, 0.401645, -0.163630, 0.679922, -0.156027, -0.187864, 0.003659, 0.000000, 0.000000, 0.000000], [-0.353692, 0.024639, 0.495559, -0.305284, -0.066309, -0.426486, -0.590958, 0.000000, 0.000000, 0.000000], [-0.426112, 0.170955, -0.457562, -0.352025, 0.634732, 0.181427, -0.141839, 0.000000, 0.000000, 0.000000]]
fourier: [[22.149385, 25.192132, 25.761903, 28.599717, 185.010258], [19.680032, 21.446517, 22.476562, 24.574984, 50.193051], [20.957790, 23.172822, 23.866333, 25.891924, 80.902136], [43.648103, 50.762540, 51.172437, 51.265865, 235.174181], [39.783622, 40.311668, 47.217951, 47.902349, 362.790822], [22.747322, 26.641620, 26.806723, 32.141112, 186.283051], [29.169107, 30.253186, 36.403777, 36.560163, 288.906778]]
### 2
mean: [-1.786528, 1.132037, -0.027596, -1.197856, -2.163126, -0.805132, 0.078042]
std: [1.415330, 2.138387, 1.083597, 0.565172, 1.767489, 0.561008, 1.172447]
pca: [[-0.390282, -0.421655, 0.550303, 0.056541, -0.012983, 0.274461, -0.536991, 0.000000, 0.000000, 0.000000], [0.615162, -0.302116, 0.201185, -0.128694, 0.639225, 0.238177, 0.089032, 0.000000, 0.000000, 0.000000], [-0.291135, 0.377442, 0.580516, -0.052941, 0.397540, -0.453538, 0.263135, 0.000000, 0.000000, 0.000000], [-0.112057, -0.428503, -0.140920, 0.793843, 0.182313, -0.274776, 0.212234, 0.000000, 0.000000, 0.000000], [-0.500817, -0.402104, -0.177235, -0.415801, 0.100738, 0.226031, 0.567411, 0.000000, 0.000000, 0.000000], [-0.149428, -0.176974, -0.428807, -0.325701, 0.388446, -0.509455, -0.495943, 0.000000, 0.000000, 0.000000], [-0.314313, 0.460270, -0.290767, 0.261305, 0.488782, 0.525461, -0.146683, 0.000000, 0.000000, 0.000000]]
fourier: [[23.203923, 24.290484, 25.588150, 26.625333, 160.787573], [31.903514, 33.681391, 38.310720, 38.671643, 101.883297], [16.080726, 16.200658, 16.383220, 19.633189, 23.706762], [8.484519, 8.551035, 10.502041, 11.517908, 107.807009], [26.866877, 28.912281, 30.216391, 32.836550, 194.681363], [9.171261, 9.774889, 10.263278, 10.314022, 72.461912], [16.254366, 16.562177, 18.085903, 18.627498, 21.236357]]
### 4
mean: [-0.327086, 1.127203, 0.280918, 0.161769, 0.049885, -0.477331, 0.014967]
std: [0.739982, 1.379630, 0.998936, 1.024184, 0.659923, 0.303549, 0.526763]
pca: [[-0.322612, 0.277830, -0.419147, -0.208789, 0.170512, 0.494757, 0.570610, 0.000000, 0.000000, 0.000000], [0.605170, -0.376544, 0.170308, 0.129683, -0.079556, 0.072143, 0.659263, 0.000000, 0.000000, 0.000000], [-0.440760, -0.073903, 0.038913, 0.872552, -0.089395, -0.011287, 0.171141, 0.000000, 0.000000, 0.000000], [-0.442967, -0.499029, 0.121772, -0.281697, 0.433135, -0.459776, 0.248132, 0.000000, 0.000000, 0.000000], [0.290387, 0.128021, 0.030248, 0.280788, 0.876478, 0.152597, -0.167418, 0.000000, 0.000000, 0.000000], [-0.062513, 0.649105, 0.646016, -0.065612, 0.025359, -0.245035, 0.304020, 0.000000, 0.000000, 0.000000], [-0.225766, -0.298005, 0.600597, -0.125471, -0.011889, 0.674657, -0.168701, 0.000000, 0.000000, 0.000000]]
fourier: [[11.414876, 11.677103, 12.005308, 14.049978, 29.437700], [20.873378, 22.300446, 22.804868, 26.057704, 101.448279], [14.819435, 16.191185, 18.143238, 18.779263, 25.282591], [14.603721, 15.163808, 16.259077, 17.336174, 21.538108], [9.022539, 9.687386, 10.688815, 11.756642, 12.868206], [4.691864, 4.759582, 5.283225, 7.046186, 42.959810], [7.632427, 8.110163, 8.159373, 8.939805, 11.258204]]
### 6
mean: [-0.538728, 0.573233, 0.748931, 0.898391, 0.495718, -0.068095, 0.864759]
std: [0.286511, 0.823296, 1.067397, 0.934471, 1.067593, 0.670778, 1.386153]
pca: [[-0.096503, -0.398232, 0.566838, -0.048056, 0.017644, 0.536354, 0.469571, 0.000000, 0.000000, 0.000000], [0.331995, 0.055841, 0.454784, 0.597908, 0.501835, -0.236212, -0.121261, 0.000000, 0.000000, 0.000000], [0.430376, 0.158457, 0.084503, 0.172927, -0.437381, 0.565714, -0.491213, 0.000000, 0.000000, 0.000000], [0.369756, 0.486823, 0.281810, -0.129380, -0.423705, -0.309456, 0.504815, 0.000000, 0.000000, 0.000000], [-0.417840, 0.686843, 0.304408, -0.267257, 0.311309, 0.241314, -0.185524, 0.000000, 0.000000, 0.000000], [-0.266434, 0.303174, -0.385427, 0.658989, -0.059650, 0.285167, 0.411582, 0.000000, 0.000000, 0.000000], [0.559416, 0.111893, -0.379591, -0.296414, 0.525881, 0.318089, 0.254660, 0.000000, 0.000000, 0.000000]]
fourier: [[4.807585, 4.854461, 5.329920, 5.383090, 48.485572], [12.245377, 13.329808, 15.810920, 15.910541, 51.591011], [15.910020, 17.226441, 20.148135, 20.426824, 67.403765], [14.198204, 15.132487, 15.323840, 18.420445, 80.855187], [16.016446, 17.226560, 18.082207, 24.351063, 44.614604], [9.657923, 10.146338, 10.154430, 12.129130, 14.859465], [20.591543, 22.312769, 25.965176, 26.783939, 77.828291]]
### 8
mean: [1.755472, -0.596034, -0.674341, 0.783489, -0.421283, 1.391073, -0.424247]
std: [1.842304, 2.050276, 0.412706, 0.883737, 0.476610, 1.886703, 0.970042]
pca: [[-0.503368, 0.791578, 0.095328, -0.101588, -0.233862, 0.060833, -0.205488, 0.000000, 0.000000, 0.000000], [0.563202, 0.479945, 0.208806, -0.245072, 0.590404, -0.002326, 0.014619, 0.000000, 0.000000, 0.000000], [0.112530, -0.161018, 0.755024, -0.416715, -0.420256, 0.108979, 0.170895, 0.000000, 0.000000, 0.000000], [-0.243086, -0.121164, 0.301298, 0.326975, 0.364573, 0.767519, -0.080847, 0.000000, 0.000000, 0.000000], [0.129221, 0.285761, 0.095094, 0.564936, -0.173060, -0.032178, 0.736520, 0.000000, 0.000000, 0.000000], [-0.519306, -0.142482, 0.372009, 0.024945, 0.483630, -0.555595, 0.168593, 0.000000, 0.000000, 0.000000], [0.267009, 0.022083, 0.372877, 0.573829, -0.152826, -0.292594, -0.592397, 0.000000, 0.000000, 0.000000]]
fourier: [[28.592097, 28.899483, 29.191822, 37.350449, 157.992477], [31.086531, 31.949040, 38.597416, 40.545968, 53.643044], [6.387896, 6.422868, 6.542886, 8.160070, 60.690727], [13.398084, 14.134331, 16.168257, 17.574004, 70.514058], [7.079392, 7.359993, 9.226523, 9.807330, 37.915451], [28.591686, 29.982995, 34.020059, 37.679672, 125.196601], [14.621989, 15.207702, 17.365081, 19.434775, 38.182264]]
### 10
mean: [-1.572428]
std: [2.276968]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.706083, 34.803874, 39.708319, 46.428913, 141.518541]]
## 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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141.51854111254215]}}, "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": [[-0.140058, -0.150041, -0.307509, -0.236772, -0.40471], [0.166896, 0.377285, -0.004899, -0.180269, -0.581881], [-0.508149, 0.312994, 0.020099, 0.064835, 0.55082], [0.926288, 0.679225, 0.310207, 0.014735, -0.557574], [-0.201287, -0.641175, 0.060028, -0.573119, -0.668161], [-0.338327, -0.205667, -0.367937, -0.163632, -0.239898], [0.051869, -0.688778, -0.234954, -0.377035, -0.19405]], "network.0.bias": [0.041274, 0.776974, 0.100566, 0.230724, -0.684461, 0.141342, -0.480865], "network.2.weight": [[0.310431, 0.293733, -0.062159, -0.594157, -0.179108, 0.076882, -0.000715], [0.284995, 0.375373, -0.546526, 0.60444, -0.297173, 0.074408, 0.079426], [0.332961, 0.145505, 0.538102, -0.322506, -0.221023, -0.142446, -0.07104], [-0.269537, -0.005104, -0.310068, -0.198681, 0.253115, -0.077994, -0.088014], [-0.040844, -0.157647, -0.080618, -0.621358, 0.367683, 0.272339, -0.076009], [0.319711, -0.246114, -0.118734, -0.149177, -0.132013, 0.037675, -0.219555], [0.372782, -0.371421, 0.502031, -0.223266, -0.092586, -0.37609, 0.016315]], "network.2.bias": [-0.351191, -0.2708, 0.162372, -0.320755, -0.246191, -0.061574, 0.483244], "network.4.weight": [[-0.331249, -0.370531, -0.11135, 0.227269, 0.164772, -0.375341, 0.264141], [-0.056353, 0.673316, -0.08396, -0.164367, -0.002816, 0.082, -0.325476], [0.123205, -0.430878, 0.262207, -0.279228, 0.413255, -0.276143, 0.281878], [-0.099456, -0.359795, 0.46454, -0.159813, 0.333546, 0.227176, 0.377878], [-0.425272, 0.26981, -0.183089, -0.334414, 0.104479, -0.247868, -0.227894], [-0.262647, -0.179018, 0.018556, 0.374812, -0.332348, 0.185478, -0.371421], [-0.117929, -0.178725, 0.459735, -0.286296, 0.321018, -0.196911, 0.02]], "network.4.bias": [0.121277, 0.349917, 0.667936, 0.329973, -0.162484, -0.064748, 0.088269], "network.6.weight": [[-0.161378, -0.232337, -0.441625, 0.139872, -0.16822, -0.106311, 0.215262], [-0.183449, 0.233932, -0.651619, -0.017316, 0.491317, 0.242221, 0.146435], [-0.079181, 0.565414, -0.371683, 0.001226, 0.162983, -0.268742, -0.368584], [-0.002949, 0.677267, -0.184999, 0.012529, -0.080953, 0.229703, -0.031115], [0.07366, -0.258677, 0.405293, 0.53821, -0.278488, 0.093716, 0.416301], [0.349254, -0.383747, 0.324326, 0.260289, 0.331183, -0.202823, -0.143285], [-0.44626, 0.719934, -0.074406, -0.318479, 0.28016, 0.264517, -0.440548]], "network.6.bias": [-0.060305, 0.524567, 0.322712, 0.21865, 0.303693, -0.017078, 0.26209], "network.8.weight": [[0.010319, 0.422606, 0.379761, 0.487441, -0.004365, -0.016636, 0.618544], [0.1619, -0.145564, -0.725525, -0.121222, 0.48644, 0.364928, -0.642562], [0.376551, -0.046068, 0.158826, -0.304288, -0.172533, 0.372729, -0.226004], [0.017019, -0.085859, 0.326379, 0.354476, -0.363207, 0.261704, 0.126688], [0.039282, -0.322759, -0.339368, -0.066829, 0.077674, 0.27582, 0.221459], [0.031146, 0.427846, 0.221385, 0.641528, -0.515174, 0.145496, 0.423418], [-0.052045, -0.467214, -0.426659, -0.216092, -0.037693, 0.473423, 0.04612]], "network.8.bias": [0.062082, 0.478855, -0.236019, 0.294322, -0.207053, 0.212975, 0.313741], "network.10.weight": [[-0.55484, 0.404936, -0.198848, -0.207446, 0.008625, -0.505159, 0.047781]], "network.10.bias": [0.129036]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6952172815799713, "train_acc": 0.575, "val_loss": 0.7153524160385132, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.674685150384903, "train_acc": 0.575, "val_loss": 0.6709807515144348, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6074997782707214, "train_acc": 0.63, "val_loss": 0.5798146724700928, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5326918959617615, "train_acc": 0.75, "val_loss": 0.489726185798645, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4717359244823456, "train_acc": 0.775, "val_loss": 0.5012338161468506, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.46875332295894623, "train_acc": 0.755, "val_loss": 0.49285924434661865, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.46705958247184753, "train_acc": 0.765, "val_loss": 0.5819037556648254, "val_acc": 0.7}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7153524160385132, "final_val_loss": 0.6709807515144348, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5798146724700928, "final_val_loss": 0.5819037556648254, "initial_val_acc": 0.7, "final_val_acc": 0.7, "best_val_acc": 0.78, "best_epoch": 3}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,943
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.6, "improved_accuracy": 0.96, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9054, "learning_rate": 0.03180924856147307, "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:
{
"network.0.weight": [
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0.377784,
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],
[
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0.507415
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[
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0.296234,
-0.31445,
-0.190456
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[
0.641077,
-0.243143,
0.142803,
0.304218,
0.114006
],
[
0.389993,
0.337322,
0.460825,
0.440916,
-0.136049
],
[
-0.718838,
0.380927,
-0.133184,
-0.109721,
-0.182451
]
],
"network.0.bias": [
0.035281,
-0.043763,
0.27189,
0.084327,
-0.138405,
-0.028415
],
"network.2.weight": [
[
0.530514,
0.243567,
0.83963,
0.042086,
0.124638,
0.578965
],
[
-0.355472,
-0.365337,
-0.880051,
0.153495,
0.022917,
-0.001128
],
[
-0.228439,
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0.265981,
0.196236,
-0.102733,
-0.149453
],
[
0.297529,
0.137559,
0.48381,
0.292601,
0.586078,
0.505698
],
[
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0.411387,
-0.453944,
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-0.553052,
-0.164105
],
[
0.096541,
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0.082413
]
],
"network.2.bias": [
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0.022604,
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0.031962,
0.170492
],
"network.4.weight": [
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[
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0.208719,
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0.513724,
-0.231976,
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],
[
0.267898,
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0.21747,
0.069106,
0.524263
],
[
0.023876,
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0.31517,
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],
[
0.037109,
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0.179866,
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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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0.283571
],
"network.8.weight": [
[
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[
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],
[
0.070699,
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[
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[
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],
[
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]
],
"network.8.bias": [
0.466961,
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0.043964,
0.314997
],
"network.10.weight": [
[
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0.027907
],
[
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0.23626,
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],
[
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0.132511,
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],
[
0.664403,
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],
[
0.545234,
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],
[
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]
],
"network.10.bias": [
0.230451,
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0.165275
],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.072766
]
}
## Activation Signature
### 0
mean: [2.477379, 1.949486, 0.228299, 1.530337, 2.701936, -0.967354]
std: [1.862851, 1.746344, 1.966541, 1.451148, 1.958915, 1.560173]
pca: [[0.454247, -0.407941, -0.311038, 0.037057, 0.727372, 0.007419, 0.000000, 0.000000, 0.000000, 0.000000], [0.416918, 0.063540, 0.766784, -0.455863, 0.125331, 0.103279, 0.000000, 0.000000, 0.000000, 0.000000], [0.351298, 0.680566, -0.492425, -0.389903, -0.029772, 0.134265, 0.000000, 0.000000, 0.000000, 0.000000], [0.380293, 0.066145, 0.085082, 0.596387, -0.201223, 0.669026, 0.000000, 0.000000, 0.000000, 0.000000], [0.459227, -0.501405, -0.206279, -0.215925, -0.643307, -0.186238, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375389, -0.332557, -0.151744, -0.486304, 0.000674, 0.699265, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.001291, 31.752286, 35.367381, 36.834982, 222.964138], [30.224217, 34.412672, 34.487738, 34.954026, 175.453716], [28.214349, 28.255899, 28.437274, 38.864953, 42.872589], [21.456934, 28.748197, 29.841018, 31.873308, 137.730364], [30.275901, 31.609615, 36.580169, 37.895754, 243.174232], [24.511225, 28.583631, 31.526938, 38.168566, 87.061894]]
### 2
mean: [2.567294, -2.177495, -0.977416, 2.838336, -1.589972, -1.446570]
std: [2.450798, 1.931567, 0.783133, 2.644588, 1.454401, 1.617129]
pca: [[0.540064, -0.086444, 0.040107, 0.403921, 0.675087, -0.283471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409271, 0.512572, 0.042764, -0.435914, 0.604590, -0.111300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109669, -0.367832, 0.737502, -0.053787, 0.238521, 0.498977, 0.000000, 0.000000, 0.000000, 0.000000], [0.576501, 0.416269, -0.162597, -0.223307, 0.006861, 0.646541, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290553, -0.453139, -0.650496, 0.056556, 0.348474, 0.403071, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334703, 0.464632, 0.055406, 0.768680, -0.018836, 0.278922, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.472720, 44.647425, 44.958716, 47.387099, 231.056490], [33.574213, 34.724330, 36.951082, 41.062739, 195.974519], [13.056007, 13.218680, 13.515817, 14.115065, 87.967462], [42.654135, 44.782401, 48.351393, 50.303328, 255.450279], [22.576058, 23.355340, 24.767821, 28.759907, 143.097479], [26.875121, 29.632722, 33.059697, 37.513521, 130.191282]]
### 4
mean: [0.251688, 2.421620, 0.965676, -0.013455, 0.051871, 2.127289]
std: [0.491531, 2.469430, 1.241131, 0.587913, 0.585196, 2.147409]
pca: [[-0.130653, 0.838717, 0.318806, -0.411362, 0.054903, -0.074925, 0.000000, 0.000000, 0.000000, 0.000000], [0.681056, 0.312642, 0.237875, 0.579108, 0.077099, 0.201302, 0.000000, 0.000000, 0.000000, 0.000000], [0.342167, -0.211955, 0.013412, -0.517270, 0.641754, 0.397995, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160174, -0.245241, 0.666918, -0.085738, -0.413321, 0.539662, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159640, -0.244526, 0.615250, 0.188039, 0.470762, -0.528407, 0.000000, 0.000000, 0.000000, 0.000000], [0.592345, -0.184250, 0.135224, -0.430276, -0.432136, -0.474357, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.529044, 8.811940, 9.837905, 10.464848, 22.651957], [43.967232, 44.566532, 44.766354, 45.052178, 217.945841], [21.688350, 21.998901, 22.709077, 22.814761, 86.910799], [9.755766, 9.817537, 10.004065, 10.149566, 10.519061], [9.641210, 9.777160, 9.881531, 9.932730, 10.512729], [37.975279, 38.420726, 39.120393, 39.303772, 191.456029]]
### 6
mean: [-0.053518, 0.012468, -0.081399, 3.526676, -0.156712, -0.182452]
std: [0.670306, 0.621223, 1.072288, 3.639575, 1.209019, 1.269568]
pca: [[-0.154212, 0.518092, -0.412549, 0.676601, 0.100322, -0.264099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142469, 0.529264, -0.098574, -0.535581, -0.555328, -0.307620, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250773, 0.188734, 0.340938, -0.277497, 0.705491, -0.458837, 0.000000, 0.000000, 0.000000, 0.000000], [0.851655, 0.456747, 0.156424, -0.039786, 0.163890, 0.114694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282446, 0.322553, -0.342992, -0.291239, 0.327395, 0.711711, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296551, 0.321219, 0.749490, 0.303243, -0.223118, 0.324658, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.283835, 10.428964, 12.179047, 12.237111, 12.732595], [9.448034, 9.869948, 11.405046, 11.525589, 12.053074], [16.340923, 17.327044, 19.217640, 19.998403, 20.021605], [62.640105, 63.670039, 66.141594, 67.351604, 317.400875], [18.447616, 19.549194, 21.764995, 22.342097, 22.616544], [19.467988, 20.021631, 22.770676, 23.820603, 23.830299]]
### 8
mean: [1.730700, -0.712986, 1.250682, -0.247268, 0.321395, 0.922541]
std: [2.947389, 0.685875, 1.884867, 1.259705, 1.251744, 0.789665]
pca: [[0.734023, 0.064261, 0.016547, -0.021969, 0.342628, -0.582178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162297, -0.353274, 0.108647, 0.880878, 0.056134, -0.240738, 0.000000, 0.000000, 0.000000, 0.000000], [0.467436, 0.288216, -0.033140, 0.389345, 0.185940, 0.714964, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312966, -0.145628, -0.385085, -0.100581, 0.846173, 0.080178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299291, 0.578541, 0.680399, 0.042632, 0.314092, -0.110912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169856, 0.657330, -0.612854, 0.245046, -0.173834, -0.270574, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.054827, 52.192600, 53.204427, 55.274124, 155.763034], [11.513428, 11.879660, 12.161831, 12.864361, 64.168766], [29.850228, 33.764826, 34.204346, 35.179334, 112.561387], [19.582093, 22.254140, 22.577668, 22.791089, 23.491010], [20.594558, 22.075340, 22.618015, 23.579554, 28.925586], [12.859141, 12.955161, 13.796486, 15.772402, 83.028717]]
### 10
mean: [1.138434, -1.169117, -0.238398, 1.973635, 1.469156, -0.374605]
std: [2.353536, 0.163802, 1.361568, 2.959384, 2.407489, 1.450410]
pca: [[0.478834, -0.583984, 0.290458, -0.092890, 0.569945, -0.108852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010251, -0.371211, -0.376192, 0.664166, 0.029032, 0.527842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277288, 0.291809, 0.614142, 0.598747, 0.291374, -0.131879, 0.000000, 0.000000, 0.000000, 0.000000], [0.603080, 0.611801, -0.354290, 0.177527, 0.319851, -0.051503, 0.000000, 0.000000, 0.000000, 0.000000], [0.492307, 0.109322, 0.518723, -0.016580, -0.472583, 0.502991, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296063, 0.223072, 0.048465, -0.399957, 0.513597, 0.660673, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.079554, 40.263783, 41.713326, 43.755995, 102.459051], [2.529415, 2.531079, 2.836366, 2.991389, 105.220502], [21.455854, 23.528630, 23.568047, 23.823437, 25.002671], [46.821360, 50.800657, 53.448193, 54.465271, 177.627128], [38.196766, 42.125359, 43.280975, 44.310742, 132.224000], [24.361387, 25.355997, 25.582347, 26.854976, 33.714480]]
### 12
mean: [-2.459810]
std: [3.571860]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.879177, 60.668064, 64.351219, 65.117545, 221.382936]]
## 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:
{
"network.0.weight": [
[
0.547958,
0.343876,
0.223479,
0.377784,
-0.116258
],
[
0.339519,
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0.406484,
-0.051069,
0.507415
],
[
0.798885,
-0.410128,
0.296234,
-0.31445,
-0.190456
],
[
0.641077,
-0.243143,
0.142803,
0.304218,
0.114006
],
[
0.389993,
0.337322,
0.460825,
0.440916,
-0.136049
],
[
-0.718838,
0.380927,
-0.133184,
-0.109721,
-0.182451
]
],
"network.0.bias": [
0.035281,
-0.043763,
0.27189,
0.084327,
-0.138405,
-0.028415
],
"network.2.weight": [
[
0.530514,
0.243567,
0.83963,
0.042086,
0.124638,
0.578965
],
[
-0.355472,
-0.365337,
-0.880051,
0.153495,
0.022917,
-0.001128
],
[
-0.228439,
-0.344703,
0.265981,
0.196236,
-0.102733,
-0.149453
],
[
0.297529,
0.137559,
0.48381,
0.292601,
0.586078,
0.505698
],
[
-0.088442,
0.411387,
-0.453944,
-0.235674,
-0.553052,
-0.164105
],
[
0.096541,
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-0.426114,
-0.530368,
-0.131284,
0.082413
]
],
"network.2.bias": [
-0.27099,
-0.217434,
0.022604,
-0.551608,
0.031962,
0.170492
],
"network.4.weight": [
[
-0.245008,
-0.470341,
-0.130718,
0.063641,
0.519064,
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],
[
0.455962,
0.208719,
-0.162401,
0.513724,
-0.231976,
-0.228724
],
[
0.267898,
0.132339,
0.268559,
0.21747,
0.069106,
0.524263
],
[
0.023876,
-0.282282,
-0.327688,
-0.23599,
0.31517,
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],
[
0.037109,
-0.548411,
-0.337185,
-0.242286,
0.179866,
-0.537252
],
[
0.444476,
0.558093,
0.21173,
0.390515,
0.033528,
0.47012
]
],
"network.4.bias": [
0.619206,
-0.206268,
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0.521851,
0.540734,
-0.008264
],
"network.6.weight": [
[
0.291432,
0.256713,
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0.407093,
0.584799,
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],
[
0.611885,
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0.538063,
0.216632,
-0.008478
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[
0.371422,
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0.456695,
0.237152,
0.103517
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[
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0.536498
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[
0.390412,
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0.451241,
0.345271,
-0.18621
],
[
0.55141,
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-0.72507,
0.392566,
0.611397,
0.05629
]
],
"network.6.bias": [
0.094147,
0.032978,
0.457433,
0.349329,
0.542696,
0.283571
],
"network.8.weight": [
[
-0.5977,
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-0.610057,
0.546303,
-0.59651,
-0.381154
],
[
0.294461,
-0.180367,
-0.444979,
-0.200707,
0.02082,
0.185589
],
[
0.070699,
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0.404545,
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],
[
0.396018,
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0.466644,
-0.257047,
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0.208991
],
[
0.375159,
0.229321,
0.433854,
-0.091958,
0.736588,
0.565714
],
[
0.31386,
0.601685,
0.44714,
0.027499,
0.252795,
0.589787
]
],
"network.8.bias": [
0.466961,
0.039543,
0.130551,
0.438604,
0.043964,
0.314997
],
"network.10.weight": [
[
0.549308,
-0.52336,
0.145921,
-0.419828,
-0.785323,
0.027907
],
[
-0.035334,
0.290807,
-0.087765,
-0.250957,
0.23626,
-0.387013
],
[
-0.475994,
0.542803,
0.108532,
0.135408,
0.132511,
0.344454
],
[
0.664403,
-0.131343,
0.635544,
-0.10781,
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],
[
0.545234,
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0.383202,
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0.238533
],
[
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0.215448,
0.171103
]
],
"network.10.bias": [
0.230451,
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0.313109,
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-0.011414,
0.165275
],
"network.12.weight": [
[
-0.693352,
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0.32669,
-0.480076,
-0.343969,
0.536773
]
],
"network.12.bias": [
0.072766
]
}
## Activation Signature
### 0
mean: [2.477379, 1.949486, 0.228299, 1.530337, 2.701936, -0.967354]
std: [1.862851, 1.746344, 1.966541, 1.451148, 1.958915, 1.560173]
pca: [[0.454247, -0.407941, -0.311038, 0.037057, 0.727372, 0.007419, 0.000000, 0.000000, 0.000000, 0.000000], [0.416918, 0.063540, 0.766784, -0.455863, 0.125331, 0.103279, 0.000000, 0.000000, 0.000000, 0.000000], [0.351298, 0.680566, -0.492425, -0.389903, -0.029772, 0.134265, 0.000000, 0.000000, 0.000000, 0.000000], [0.380293, 0.066145, 0.085082, 0.596387, -0.201223, 0.669026, 0.000000, 0.000000, 0.000000, 0.000000], [0.459227, -0.501405, -0.206279, -0.215925, -0.643307, -0.186238, 0.000000, 0.000000, 0.000000, 0.000000], [-0.375389, -0.332557, -0.151744, -0.486304, 0.000674, 0.699265, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.001291, 31.752286, 35.367381, 36.834982, 222.964138], [30.224217, 34.412672, 34.487738, 34.954026, 175.453716], [28.214349, 28.255899, 28.437274, 38.864953, 42.872589], [21.456934, 28.748197, 29.841018, 31.873308, 137.730364], [30.275901, 31.609615, 36.580169, 37.895754, 243.174232], [24.511225, 28.583631, 31.526938, 38.168566, 87.061894]]
### 2
mean: [2.567294, -2.177495, -0.977416, 2.838336, -1.589972, -1.446570]
std: [2.450798, 1.931567, 0.783133, 2.644588, 1.454401, 1.617129]
pca: [[0.540064, -0.086444, 0.040107, 0.403921, 0.675087, -0.283471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.409271, 0.512572, 0.042764, -0.435914, 0.604590, -0.111300, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109669, -0.367832, 0.737502, -0.053787, 0.238521, 0.498977, 0.000000, 0.000000, 0.000000, 0.000000], [0.576501, 0.416269, -0.162597, -0.223307, 0.006861, 0.646541, 0.000000, 0.000000, 0.000000, 0.000000], [-0.290553, -0.453139, -0.650496, 0.056556, 0.348474, 0.403071, 0.000000, 0.000000, 0.000000, 0.000000], [-0.334703, 0.464632, 0.055406, 0.768680, -0.018836, 0.278922, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[44.472720, 44.647425, 44.958716, 47.387099, 231.056490], [33.574213, 34.724330, 36.951082, 41.062739, 195.974519], [13.056007, 13.218680, 13.515817, 14.115065, 87.967462], [42.654135, 44.782401, 48.351393, 50.303328, 255.450279], [22.576058, 23.355340, 24.767821, 28.759907, 143.097479], [26.875121, 29.632722, 33.059697, 37.513521, 130.191282]]
### 4
mean: [0.251688, 2.421620, 0.965676, -0.013455, 0.051871, 2.127289]
std: [0.491531, 2.469430, 1.241131, 0.587913, 0.585196, 2.147409]
pca: [[-0.130653, 0.838717, 0.318806, -0.411362, 0.054903, -0.074925, 0.000000, 0.000000, 0.000000, 0.000000], [0.681056, 0.312642, 0.237875, 0.579108, 0.077099, 0.201302, 0.000000, 0.000000, 0.000000, 0.000000], [0.342167, -0.211955, 0.013412, -0.517270, 0.641754, 0.397995, 0.000000, 0.000000, 0.000000, 0.000000], [-0.160174, -0.245241, 0.666918, -0.085738, -0.413321, 0.539662, 0.000000, 0.000000, 0.000000, 0.000000], [-0.159640, -0.244526, 0.615250, 0.188039, 0.470762, -0.528407, 0.000000, 0.000000, 0.000000, 0.000000], [0.592345, -0.184250, 0.135224, -0.430276, -0.432136, -0.474357, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.529044, 8.811940, 9.837905, 10.464848, 22.651957], [43.967232, 44.566532, 44.766354, 45.052178, 217.945841], [21.688350, 21.998901, 22.709077, 22.814761, 86.910799], [9.755766, 9.817537, 10.004065, 10.149566, 10.519061], [9.641210, 9.777160, 9.881531, 9.932730, 10.512729], [37.975279, 38.420726, 39.120393, 39.303772, 191.456029]]
### 6
mean: [-0.053518, 0.012468, -0.081399, 3.526676, -0.156712, -0.182452]
std: [0.670306, 0.621223, 1.072288, 3.639575, 1.209019, 1.269568]
pca: [[-0.154212, 0.518092, -0.412549, 0.676601, 0.100322, -0.264099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.142469, 0.529264, -0.098574, -0.535581, -0.555328, -0.307620, 0.000000, 0.000000, 0.000000, 0.000000], [-0.250773, 0.188734, 0.340938, -0.277497, 0.705491, -0.458837, 0.000000, 0.000000, 0.000000, 0.000000], [0.851655, 0.456747, 0.156424, -0.039786, 0.163890, 0.114694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282446, 0.322553, -0.342992, -0.291239, 0.327395, 0.711711, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296551, 0.321219, 0.749490, 0.303243, -0.223118, 0.324658, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.283835, 10.428964, 12.179047, 12.237111, 12.732595], [9.448034, 9.869948, 11.405046, 11.525589, 12.053074], [16.340923, 17.327044, 19.217640, 19.998403, 20.021605], [62.640105, 63.670039, 66.141594, 67.351604, 317.400875], [18.447616, 19.549194, 21.764995, 22.342097, 22.616544], [19.467988, 20.021631, 22.770676, 23.820603, 23.830299]]
### 8
mean: [1.730700, -0.712986, 1.250682, -0.247268, 0.321395, 0.922541]
std: [2.947389, 0.685875, 1.884867, 1.259705, 1.251744, 0.789665]
pca: [[0.734023, 0.064261, 0.016547, -0.021969, 0.342628, -0.582178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.162297, -0.353274, 0.108647, 0.880878, 0.056134, -0.240738, 0.000000, 0.000000, 0.000000, 0.000000], [0.467436, 0.288216, -0.033140, 0.389345, 0.185940, 0.714964, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312966, -0.145628, -0.385085, -0.100581, 0.846173, 0.080178, 0.000000, 0.000000, 0.000000, 0.000000], [-0.299291, 0.578541, 0.680399, 0.042632, 0.314092, -0.110912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.169856, 0.657330, -0.612854, 0.245046, -0.173834, -0.270574, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[47.054827, 52.192600, 53.204427, 55.274124, 155.763034], [11.513428, 11.879660, 12.161831, 12.864361, 64.168766], [29.850228, 33.764826, 34.204346, 35.179334, 112.561387], [19.582093, 22.254140, 22.577668, 22.791089, 23.491010], [20.594558, 22.075340, 22.618015, 23.579554, 28.925586], [12.859141, 12.955161, 13.796486, 15.772402, 83.028717]]
### 10
mean: [1.138434, -1.169117, -0.238398, 1.973635, 1.469156, -0.374605]
std: [2.353536, 0.163802, 1.361568, 2.959384, 2.407489, 1.450410]
pca: [[0.478834, -0.583984, 0.290458, -0.092890, 0.569945, -0.108852, 0.000000, 0.000000, 0.000000, 0.000000], [-0.010251, -0.371211, -0.376192, 0.664166, 0.029032, 0.527842, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277288, 0.291809, 0.614142, 0.598747, 0.291374, -0.131879, 0.000000, 0.000000, 0.000000, 0.000000], [0.603080, 0.611801, -0.354290, 0.177527, 0.319851, -0.051503, 0.000000, 0.000000, 0.000000, 0.000000], [0.492307, 0.109322, 0.518723, -0.016580, -0.472583, 0.502991, 0.000000, 0.000000, 0.000000, 0.000000], [-0.296063, 0.223072, 0.048465, -0.399957, 0.513597, 0.660673, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.079554, 40.263783, 41.713326, 43.755995, 102.459051], [2.529415, 2.531079, 2.836366, 2.991389, 105.220502], [21.455854, 23.528630, 23.568047, 23.823437, 25.002671], [46.821360, 50.800657, 53.448193, 54.465271, 177.627128], [38.196766, 42.125359, 43.280975, 44.310742, 132.224000], [24.361387, 25.355997, 25.582347, 26.854976, 33.714480]]
### 12
mean: [-2.459810]
std: [3.571860]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.879177, 60.668064, 64.351219, 65.117545, 221.382936]]
## 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": [[0.547958, 0.343876, 0.223479, 0.377784, -0.116258], [0.339519, 0.112685, 0.406484, -0.051069, 0.507415], [0.798885, -0.410128, 0.296234, -0.31445, -0.190456], [0.641077, -0.243143, 0.142803, 0.304218, 0.114006], [0.389993, 0.337322, 0.460825, 0.440916, -0.136049], [-0.718838, 0.380927, -0.133184, -0.109721, -0.182451]], "network.0.bias": [0.035281, -0.043763, 0.27189, 0.084327, -0.138405, -0.028415], "network.2.weight": [[0.530514, 0.243567, 0.83963, 0.042086, 0.124638, 0.578965], [-0.355472, -0.365337, -0.880051, 0.153495, 0.022917, -0.001128], [-0.228439, -0.344703, 0.265981, 0.196236, -0.102733, -0.149453], [0.297529, 0.137559, 0.48381, 0.292601, 0.586078, 0.505698], [-0.088442, 0.411387, -0.453944, -0.235674, -0.553052, -0.164105], [0.096541, -0.20848, -0.426114, -0.530368, -0.131284, 0.082413]], "network.2.bias": [-0.27099, -0.217434, 0.022604, -0.551608, 0.031962, 0.170492], "network.4.weight": [[-0.245008, -0.470341, -0.130718, 0.063641, 0.519064, -0.504501], [0.455962, 0.208719, -0.162401, 0.513724, -0.231976, -0.228724], [0.267898, 0.132339, 0.268559, 0.21747, 0.069106, 0.524263], [0.023876, -0.282282, -0.327688, -0.23599, 0.31517, -0.462456], [0.037109, -0.548411, -0.337185, -0.242286, 0.179866, -0.537252], [0.444476, 0.558093, 0.21173, 0.390515, 0.033528, 0.47012]], "network.4.bias": [0.619206, -0.206268, -0.258742, 0.521851, 0.540734, -0.008264], "network.6.weight": [[0.291432, 0.256713, -0.019659, 0.407093, 0.584799, -0.453733], [0.611885, -0.038428, -0.156024, 0.538063, 0.216632, -0.008478], [0.371422, -0.201733, -0.469247, 0.456695, 0.237152, 0.103517], [-0.072022, 0.764043, 0.351149, -0.243315, -0.513658, 0.536498], [0.390412, -0.165366, -0.110814, 0.451241, 0.345271, -0.18621], [0.55141, -0.068179, -0.72507, 0.392566, 0.611397, 0.05629]], "network.6.bias": [0.094147, 0.032978, 0.457433, 0.349329, 0.542696, 0.283571], "network.8.weight": [[-0.5977, -0.789957, -0.610057, 0.546303, -0.59651, -0.381154], [0.294461, -0.180367, -0.444979, -0.200707, 0.02082, 0.185589], [0.070699, -0.546919, -0.479479, 0.404545, -0.154135, -0.177106], [0.396018, 0.210601, 0.466644, -0.257047, -0.188287, 0.208991], [0.375159, 0.229321, 0.433854, -0.091958, 0.736588, 0.565714], [0.31386, 0.601685, 0.44714, 0.027499, 0.252795, 0.589787]], "network.8.bias": [0.466961, 0.039543, 0.130551, 0.438604, 0.043964, 0.314997], "network.10.weight": [[0.549308, -0.52336, 0.145921, -0.419828, -0.785323, 0.027907], [-0.035334, 0.290807, -0.087765, -0.250957, 0.23626, -0.387013], [-0.475994, 0.542803, 0.108532, 0.135408, 0.132511, 0.344454], [0.664403, -0.131343, 0.635544, -0.10781, -0.085145, -0.33564], [0.545234, -0.032024, 0.383202, -0.298708, -0.654601, 0.238533], [-0.347765, -0.199001, -0.1143, 0.355377, 0.215448, 0.171103]], "network.10.bias": [0.230451, -0.680986, 0.313109, -0.066138, -0.011414, 0.165275], "network.12.weight": [[-0.693352, -0.131098, 0.32669, -0.480076, -0.343969, 0.536773]], "network.12.bias": [0.072766]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6931196451187134, "train_acc": 0.4, "val_loss": 0.6812875866889954, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.689152717590332, "train_acc": 0.55, "val_loss": 0.6747424602508545, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.683910071849823, "train_acc": 0.55, "val_loss": 0.6641333103179932, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6768220067024231, "train_acc": 0.55, "val_loss": 0.6308544278144836, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6618448793888092, "train_acc": 0.51, "val_loss": 0.566921591758728, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5610120892524719, "train_acc": 0.765, "val_loss": 0.38767996430397034, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.46788474917411804, "train_acc": 0.785, "val_loss": 0.33080101013183594, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4384843707084656, "train_acc": 0.83, "val_loss": 0.238838329911232, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.32536478340625763, "train_acc": 0.875, "val_loss": 0.1712525486946106, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3108137398958206, "train_acc": 0.87, "val_loss": 0.23780876398086548, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2851586788892746, "train_acc": 0.885, "val_loss": 0.24109970033168793, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.28967033326625824, "train_acc": 0.895, "val_loss": 0.16949903964996338, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.23065292835235596, "train_acc": 0.925, "val_loss": 0.13642296195030212, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.203854039311409, "train_acc": 0.95, "val_loss": 0.14185304939746857, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6812875866889954, "final_val_loss": 0.6308544278144836, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.566921591758728, "final_val_loss": 0.14185304939746857, "initial_val_acc": 0.82, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
9,944
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.38, "improved_accuracy": 0.88, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5642, "learning_rate": 0.06601683398921675, "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: 5
Activation Function: relu
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: [1.877762, -3.369504, 2.694985, 2.345390, 0.250375]
std: [3.107347, 2.437509, 3.442420, 3.615277, 2.538613]
pca: [[0.480462, 0.113820, -0.086127, 0.795556, -0.340401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271589, 0.736851, -0.605989, 0.043878, 0.118917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537871, -0.098957, -0.200816, 0.015279, 0.812614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.558899, -0.005516, -0.388171, -0.573776, -0.455747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.306139, 0.658993, 0.659056, -0.188977, 0.044037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.413289, 49.764225, 51.643025, 55.916908, 168.998592], [41.191133, 42.440649, 43.704976, 49.354462, 303.255404], [57.204558, 58.811215, 59.527546, 62.511547, 242.548642], [60.559854, 60.873300, 62.382708, 64.643206, 211.085099], [37.787044, 38.374527, 43.908147, 44.043618, 49.303856]]
### 2
mean: [7.035945, -1.744459, -2.602621, -2.492099, -0.911655]
std: [9.432649, 3.327381, 3.857279, 2.952244, 2.156411]
pca: [[0.833697, 0.436389, 0.313430, 0.030874, 0.123780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293465, 0.393528, 0.235554, 0.812096, -0.209831, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340847, 0.213455, 0.273920, -0.081310, 0.869837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257914, 0.770840, -0.239561, -0.463954, -0.258155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190083, -0.122241, 0.844899, -0.343049, -0.342620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[160.399370, 162.853659, 163.763413, 166.875128, 633.235015], [55.658974, 58.053332, 58.303289, 59.078127, 157.001301], [64.668349, 67.131845, 67.534342, 68.575195, 234.235860], [49.682936, 50.259054, 52.036693, 52.190437, 224.288922], [36.511284, 37.167091, 38.336177, 39.214493, 82.048976]]
### 4
mean: [-2.275394, 7.538481, -2.658804, 5.160925, -0.404287]
std: [2.254119, 10.559608, 5.513709, 7.593847, 1.484840]
pca: [[-0.155453, -0.490838, 0.471622, 0.563274, 0.441823, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.734857, 0.091090, 0.242438, -0.335917, 0.529217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383141, 0.489041, -0.373712, 0.098636, 0.681654, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528395, 0.211664, -0.341880, 0.732878, -0.148339, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099103, 0.683241, 0.679893, 0.151797, -0.195101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.874671, 39.285999, 39.515130, 40.962725, 204.785485], [176.629815, 181.700660, 183.695935, 184.037812, 678.463281], [89.871239, 93.466057, 93.680338, 97.102568, 239.292361], [127.768284, 131.017460, 132.102332, 132.724885, 464.483268], [22.019863, 23.410190, 24.097915, 26.651292, 36.385845]]
### 6
mean: [-1.579799, 10.945635, -1.942631, -4.697709, -4.451163]
std: [0.956160, 15.704384, 1.947597, 5.707191, 5.373798]
pca: [[-0.046292, 0.569587, -0.205128, 0.694961, -0.385201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.888835, 0.394343, 0.055188, -0.221948, 0.046469, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109932, 0.167867, 0.969227, 0.073416, -0.122248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321804, 0.585222, -0.037139, -0.104077, 0.736034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303622, 0.386523, -0.118728, -0.671972, -0.541083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.977303, 17.080433, 17.346566, 18.098229, 142.181897], [259.065749, 267.923200, 270.703485, 274.569954, 985.107041], [33.012817, 33.306855, 33.736353, 34.842970, 174.836772], [96.767725, 98.357942, 99.237073, 102.999950, 422.793808], [91.734396, 91.855382, 93.023263, 96.146606, 400.604664]]
### 8
mean: [-1.044316, -4.535595, 9.497609, -1.583875, 4.408020]
std: [0.956175, 6.006387, 13.035019, 2.045669, 6.232871]
pca: [[-0.060482, 0.222580, -0.389833, 0.853797, 0.256632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.379926, 0.704124, -0.026144, -0.365236, 0.475168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.824512, 0.534701, -0.043741, -0.048926, -0.173109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129396, 0.255470, 0.871685, 0.367743, -0.151402, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394252, -0.321709, 0.292573, 0.002031, 0.809609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.038018, 16.489234, 16.495583, 16.768650, 93.988457], [100.745698, 103.580096, 103.619980, 105.335295, 408.203528], [218.637607, 224.788779, 224.875346, 228.597910, 854.784826], [34.312205, 35.277549, 35.291133, 35.875340, 142.548752], [104.544521, 107.485788, 107.527176, 109.307176, 396.721893]]
### 10
mean: [-10.189757]
std: [14.884901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[250.403900, 255.901521, 257.774804, 262.305273, 917.078160]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.010271,
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[
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0.298654
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[
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[
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"network.0.bias": [
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}
## Activation Signature
### 0
mean: [1.877762, -3.369504, 2.694985, 2.345390, 0.250375]
std: [3.107347, 2.437509, 3.442420, 3.615277, 2.538613]
pca: [[0.480462, 0.113820, -0.086127, 0.795556, -0.340401, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.271589, 0.736851, -0.605989, 0.043878, 0.118917, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.537871, -0.098957, -0.200816, 0.015279, 0.812614, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.558899, -0.005516, -0.388171, -0.573776, -0.455747, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.306139, 0.658993, 0.659056, -0.188977, 0.044037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.413289, 49.764225, 51.643025, 55.916908, 168.998592], [41.191133, 42.440649, 43.704976, 49.354462, 303.255404], [57.204558, 58.811215, 59.527546, 62.511547, 242.548642], [60.559854, 60.873300, 62.382708, 64.643206, 211.085099], [37.787044, 38.374527, 43.908147, 44.043618, 49.303856]]
### 2
mean: [7.035945, -1.744459, -2.602621, -2.492099, -0.911655]
std: [9.432649, 3.327381, 3.857279, 2.952244, 2.156411]
pca: [[0.833697, 0.436389, 0.313430, 0.030874, 0.123780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.293465, 0.393528, 0.235554, 0.812096, -0.209831, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.340847, 0.213455, 0.273920, -0.081310, 0.869837, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257914, 0.770840, -0.239561, -0.463954, -0.258155, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.190083, -0.122241, 0.844899, -0.343049, -0.342620, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[160.399370, 162.853659, 163.763413, 166.875128, 633.235015], [55.658974, 58.053332, 58.303289, 59.078127, 157.001301], [64.668349, 67.131845, 67.534342, 68.575195, 234.235860], [49.682936, 50.259054, 52.036693, 52.190437, 224.288922], [36.511284, 37.167091, 38.336177, 39.214493, 82.048976]]
### 4
mean: [-2.275394, 7.538481, -2.658804, 5.160925, -0.404287]
std: [2.254119, 10.559608, 5.513709, 7.593847, 1.484840]
pca: [[-0.155453, -0.490838, 0.471622, 0.563274, 0.441823, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.734857, 0.091090, 0.242438, -0.335917, 0.529217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383141, 0.489041, -0.373712, 0.098636, 0.681654, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.528395, 0.211664, -0.341880, 0.732878, -0.148339, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099103, 0.683241, 0.679893, 0.151797, -0.195101, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[38.874671, 39.285999, 39.515130, 40.962725, 204.785485], [176.629815, 181.700660, 183.695935, 184.037812, 678.463281], [89.871239, 93.466057, 93.680338, 97.102568, 239.292361], [127.768284, 131.017460, 132.102332, 132.724885, 464.483268], [22.019863, 23.410190, 24.097915, 26.651292, 36.385845]]
### 6
mean: [-1.579799, 10.945635, -1.942631, -4.697709, -4.451163]
std: [0.956160, 15.704384, 1.947597, 5.707191, 5.373798]
pca: [[-0.046292, 0.569587, -0.205128, 0.694961, -0.385201, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.888835, 0.394343, 0.055188, -0.221948, 0.046469, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109932, 0.167867, 0.969227, 0.073416, -0.122248, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.321804, 0.585222, -0.037139, -0.104077, 0.736034, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303622, 0.386523, -0.118728, -0.671972, -0.541083, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.977303, 17.080433, 17.346566, 18.098229, 142.181897], [259.065749, 267.923200, 270.703485, 274.569954, 985.107041], [33.012817, 33.306855, 33.736353, 34.842970, 174.836772], [96.767725, 98.357942, 99.237073, 102.999950, 422.793808], [91.734396, 91.855382, 93.023263, 96.146606, 400.604664]]
### 8
mean: [-1.044316, -4.535595, 9.497609, -1.583875, 4.408020]
std: [0.956175, 6.006387, 13.035019, 2.045669, 6.232871]
pca: [[-0.060482, 0.222580, -0.389833, 0.853797, 0.256632, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.379926, 0.704124, -0.026144, -0.365236, 0.475168, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.824512, 0.534701, -0.043741, -0.048926, -0.173109, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.129396, 0.255470, 0.871685, 0.367743, -0.151402, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.394252, -0.321709, 0.292573, 0.002031, 0.809609, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.038018, 16.489234, 16.495583, 16.768650, 93.988457], [100.745698, 103.580096, 103.619980, 105.335295, 408.203528], [218.637607, 224.788779, 224.875346, 228.597910, 854.784826], [34.312205, 35.277549, 35.291133, 35.875340, 142.548752], [104.544521, 107.485788, 107.527176, 109.307176, 396.721893]]
### 10
mean: [-10.189757]
std: [14.884901]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[250.403900, 255.901521, 257.774804, 262.305273, 917.078160]]
## 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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35.277549081599844, 35.29113346327057, 35.875339602657526, 142.54875220358372]}, "4": {"mean": 4.408020496368408, "std": 6.232870578765869, "pca": [0.3942517936229706, -0.32170912623405457, 0.292572557926178, 0.0020307134836912155, 0.809608519077301, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [104.544521094536, 107.48578800208536, 107.52717648036047, 109.30717610149617, 396.7218932211399]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -10.189757347106934, "std": 14.88490104675293, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [250.4038998843054, 255.90152066646428, 257.7748035588668, 262.3052726827082, 917.0781602859497]}}, "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": "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.273971, 0.652204, -0.104585, -0.190255, -0.085704], [-0.525903, -0.465967, 0.010271, -0.435278, -0.651552], [1.359655, 0.668875, -0.074028, -0.293983, 0.298654], [1.383803, 0.761864, -0.236859, -0.536248, 0.412637], [1.301192, -0.085054, -0.684031, 0.136398, -0.348317]], "network.0.bias": [-0.163926, -0.150396, 0.200858, 0.370844, 0.352059], "network.2.weight": [[0.739656, -0.357527, 0.822202, 1.073403, 0.592639], [0.209271, 0.170253, -0.78137, -0.326232, -0.136365], [0.077101, -0.056387, -0.689944, -0.426411, -0.216251], [0.31332, -0.03215, -0.856394, -0.316595, 0.072673], [0.098785, -0.02973, -0.331117, -0.256127, -0.306178]], "network.2.bias": [-0.183054, 0.97936, 0.486399, -0.021766, 0.793225], "network.4.weight": [[-0.252306, -0.222781, -0.170897, 0.035621, -0.384634], [1.0818, -0.897436, -0.111136, -0.443844, -0.888571], [-0.538333, 1.014774, 0.380251, 0.167928, 0.941828], [0.785586, -0.294499, -0.40841, 0.156932, -0.538153], [-0.115092, 0.898842, 0.852098, 0.06117, 0.378382]], "network.4.bias": [-0.311788, 0.414178, 0.557955, -0.112806, -0.034073], "network.6.weight": [[-0.340745, 0.199038, -0.36878, -0.4239, -0.233922], [0.014191, 1.095539, -0.728305, 0.505554, -0.579158], [-0.254996, -0.389306, -2.5e-05, 0.272095, -0.261565], [0.044017, -0.317739, -0.395393, -0.346698, 0.044475], [0.146021, -0.399545, -0.348168, -0.177331, 0.250091]], "network.6.bias": [-0.507106, 0.467407, -0.280938, -0.125502, -0.266137], "network.8.weight": [[0.210705, -0.062545, 0.214464, -0.006618, -0.25463], [-0.411972, -0.39289, 0.439105, -0.171701, -0.340403], [-0.14527, 0.852647, -0.088221, -0.389722, -0.159794], [-0.432013, -0.133811, -0.119478, 0.000764, -0.055007], [0.067872, 0.407705, -0.319136, 0.183722, -0.285326]], "network.8.bias": [-0.326394, -0.02584, -0.289429, -0.047932, -0.271783], "network.10.weight": [[0.031289, 0.289308, -0.823785, -0.301993, -0.682184]], "network.10.bias": [0.782587]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6744544804096222, "train_acc": 0.595, "val_loss": 0.7444995045661926, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.665257453918457, "train_acc": 0.595, "val_loss": 0.760039210319519, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6413309574127197, "train_acc": 0.595, "val_loss": 0.7396150827407837, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6020732820034027, "train_acc": 0.595, "val_loss": 0.6659343242645264, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6541775465011597, "train_acc": 0.53, "val_loss": 0.6061241626739502, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5176566243171692, "train_acc": 0.53, "val_loss": 0.5651555061340332, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5189601480960846, "train_acc": 0.825, "val_loss": 0.5240132808685303, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5001577883958817, "train_acc": 0.77, "val_loss": 0.5003538727760315, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4345920532941818, "train_acc": 0.84, "val_loss": 0.4702357053756714, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4143332540988922, "train_acc": 0.84, "val_loss": 0.42924728989601135, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.394511342048645, "train_acc": 0.84, "val_loss": 0.4282328486442566, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3789135366678238, "train_acc": 0.85, "val_loss": 0.42796558141708374, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3749219924211502, "train_acc": 0.855, "val_loss": 0.38837388157844543, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3641330152750015, "train_acc": 0.855, "val_loss": 0.3820345401763916, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7444995045661926, "final_val_loss": 0.6659343242645264, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6061241626739502, "final_val_loss": 0.3820345401763916, "initial_val_acc": 0.38, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.5, "first_improvement_epoch": 3}}
|
9,945
|
{"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4163, "learning_rate": 0.01756174343546907, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.514913
],
[
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[
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0.10759,
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],
[
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0.101,
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],
[
0.541891,
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],
[
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0.191796
]
],
"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": [
0.056226,
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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.6.bias": [
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],
"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [1.470506, -0.719929, 0.887375, -2.184496, -0.278823, 0.320924]
std: [1.306188, 1.618863, 1.305214, 1.600847, 1.645500, 1.180486]
pca: [[-0.413867, 0.239659, -0.374429, 0.563421, 0.339224, -0.445604, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455038, 0.093838, 0.871812, 0.114746, 0.014327, -0.103471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028792, 0.631496, -0.014151, 0.077324, 0.304763, 0.708042, 0.000000, 0.000000, 0.000000, 0.000000], [0.530703, -0.372420, 0.258826, 0.433252, 0.565984, 0.067980, 0.000000, 0.000000, 0.000000, 0.000000], [-0.511187, -0.473049, -0.144207, -0.413995, 0.524774, 0.217572, 0.000000, 0.000000, 0.000000, 0.000000], [0.279047, 0.415329, 0.108439, -0.551645, 0.442850, -0.487286, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.015606, 22.501020, 26.353462, 27.115556, 132.345508], [22.965361, 24.600248, 27.698415, 34.459139, 64.793630], [20.703643, 20.938642, 24.957699, 26.342876, 79.863705], [28.406165, 30.378527, 30.636861, 32.304876, 196.604611], [24.881812, 25.086473, 25.094104, 28.027867, 28.538001], [18.966633, 20.171653, 20.718822, 21.030063, 28.883125]]
### 2
mean: [1.241347, -0.279676, 1.195706, 1.292410, -0.153083, -0.650975]
std: [0.901827, 0.512851, 1.014686, 1.184232, 1.069200, 0.628694]
pca: [[0.391826, -0.468645, -0.341446, 0.215083, 0.062459, 0.678305, 0.000000, 0.000000, 0.000000, 0.000000], [0.090507, 0.267605, 0.356905, 0.249687, 0.840372, 0.155712, 0.000000, 0.000000, 0.000000, 0.000000], [0.593146, -0.164960, -0.317184, 0.132123, 0.209627, -0.677467, 0.000000, 0.000000, 0.000000, 0.000000], [0.619664, 0.241000, 0.577796, 0.126438, -0.445019, 0.100294, 0.000000, 0.000000, 0.000000, 0.000000], [0.241385, 0.723176, -0.506164, -0.342281, 0.021099, 0.212008, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210260, 0.316991, -0.255693, 0.860695, -0.217814, -0.041103, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.946340, 15.125681, 15.730992, 19.179511, 111.721254], [6.680942, 8.206006, 8.380661, 8.946660, 25.170824], [15.064589, 15.827876, 19.067348, 24.568942, 107.613510], [15.899300, 19.912771, 23.570901, 23.710202, 116.316848], [15.313656, 15.558476, 15.978390, 19.782072, 21.512471], [10.063598, 11.208616, 11.592442, 14.339984, 58.587764]]
### 4
mean: [0.355783, 1.002043, 0.095456, 1.255440, 0.232040, 1.275503]
std: [0.959611, 0.889075, 0.670696, 1.093630, 0.647150, 1.072026]
pca: [[-0.395371, 0.535572, 0.053575, -0.120989, -0.417772, 0.603989, 0.000000, 0.000000, 0.000000, 0.000000], [0.449841, 0.129991, 0.776251, 0.378705, 0.000346, 0.186445, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328186, 0.212439, -0.031768, 0.645309, -0.380143, -0.534062, 0.000000, 0.000000, 0.000000, 0.000000], [0.565132, 0.088084, -0.617470, 0.405440, -0.152074, 0.322628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234823, 0.421528, -0.105015, 0.298490, 0.810323, 0.102105, 0.000000, 0.000000, 0.000000, 0.000000], [0.398876, 0.682415, -0.035454, -0.414781, -0.034758, -0.447994, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.689501, 14.110221, 17.650761, 18.017577, 32.020498], [13.498825, 13.767248, 15.290553, 20.897110, 90.183866], [9.716178, 10.392139, 11.311013, 12.529980, 12.929464], [16.524612, 16.908413, 20.130062, 25.608042, 112.989635], [8.876406, 9.160190, 11.610463, 11.885594, 20.883625], [17.190383, 18.005321, 22.732377, 23.703309, 114.795266]]
### 6
mean: [0.189640, -0.533327, 0.398369, 0.298357, 1.149583, -0.721075]
std: [0.867811, 0.265307, 1.059199, 1.340827, 1.064423, 0.340013]
pca: [[0.400281, 0.119122, 0.115642, 0.754226, -0.381494, 0.312757, 0.000000, 0.000000, 0.000000, 0.000000], [0.091427, -0.312156, 0.235534, 0.017274, 0.640480, 0.654378, 0.000000, 0.000000, 0.000000, 0.000000], [0.478907, 0.388636, 0.518768, -0.545330, -0.189294, 0.131424, 0.000000, 0.000000, 0.000000, 0.000000], [0.618878, 0.196691, -0.262702, 0.138607, 0.546893, -0.437020, 0.000000, 0.000000, 0.000000, 0.000000], [-0.464413, 0.636303, 0.412276, 0.296200, 0.330638, -0.111407, 0.000000, 0.000000, 0.000000, 0.000000], [0.058088, -0.541997, 0.650420, 0.162830, -0.001818, -0.503291, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.808970, 15.446318, 15.734018, 17.067636, 17.737856], [3.898497, 4.131712, 4.867875, 6.294327, 47.999399], [16.277082, 16.396084, 19.705988, 21.121156, 35.853198], [21.589788, 23.320377, 24.422648, 26.852143, 28.083108], [16.080837, 16.488511, 20.987955, 24.296528, 103.462488], [5.994654, 6.109761, 6.882265, 7.247877, 64.896771]]
### 8
mean: [0.091759]
std: [1.533753]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.809880, 22.338259, 22.398024, 29.155886, 32.712365]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.362993,
0.183349,
-0.185372,
-0.046179,
0.514913
],
[
0.533039,
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0.133352,
-0.33772,
0.129677
],
[
-0.157391,
-0.145793,
0.270873,
0.10759,
0.582233
],
[
-0.399961,
-0.189154,
-0.238481,
0.101,
-0.454107
],
[
0.541891,
0.421522,
-0.209393,
-0.419818,
-0.207059
],
[
-0.487668,
-0.111596,
0.408021,
0.096914,
0.191796
]
],
"network.0.bias": [
0.535869,
-0.187103,
-0.165723,
-0.500448,
-0.128235,
-0.165533
],
"network.2.weight": [
[
0.168774,
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0.344673,
-0.137675,
0.676317,
0.623332
],
[
0.434672,
0.3155,
-0.324906,
0.164576,
-0.509075,
-0.233514
],
[
0.372261,
-0.242646,
0.210053,
-0.210302,
0.746052,
0.424915
],
[
0.584811,
0.474383,
0.2686,
-0.140753,
-0.147871,
-0.63471
],
[
0.074046,
0.257648,
-0.412665,
-0.011382,
0.643491,
-0.183349
],
[
0.105105,
-0.316323,
-0.47807,
-0.268257,
-0.105836,
-0.096069
]
],
"network.2.bias": [
0.056226,
-0.294244,
-0.139035,
0.485539,
-0.131728,
-0.122912
],
"network.4.weight": [
[
-0.508643,
0.220874,
-0.325673,
0.633021,
-0.345615,
-0.191907
],
[
0.350561,
-0.165472,
0.618666,
-0.052061,
-0.008002,
0.076042
],
[
-0.289163,
-0.206838,
-0.413691,
0.408117,
-0.217519,
-0.306927
],
[
0.401667,
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0.458819,
-0.086692,
0.618491,
-0.281673
],
[
-0.165698,
0.015629,
-0.45289,
0.571634,
-0.064246,
0.179544
],
[
0.055776,
0.329714,
0.539524,
0.41292,
0.220442,
-0.006829
]
],
"network.4.bias": [
0.635427,
-0.087169,
0.500166,
0.139341,
0.245197,
-0.083835
],
"network.6.weight": [
[
0.229311,
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],
[
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],
[
0.470499,
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0.22963,
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0.296501
],
[
0.568334,
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0.246414,
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0.658675,
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],
[
-0.359636,
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0.53878,
0.017446,
0.340044
],
[
-0.144699,
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-0.172326,
0.103878
]
],
"network.6.bias": [
0.55404,
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0.551066,
0.547197,
0.382044,
0.042448
],
"network.8.weight": [
[
0.493751,
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0.64845,
0.462175,
-0.365718,
0.044074
]
],
"network.8.bias": [
-0.423697
]
}
## Activation Signature
### 0
mean: [1.470506, -0.719929, 0.887375, -2.184496, -0.278823, 0.320924]
std: [1.306188, 1.618863, 1.305214, 1.600847, 1.645500, 1.180486]
pca: [[-0.413867, 0.239659, -0.374429, 0.563421, 0.339224, -0.445604, 0.000000, 0.000000, 0.000000, 0.000000], [-0.455038, 0.093838, 0.871812, 0.114746, 0.014327, -0.103471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.028792, 0.631496, -0.014151, 0.077324, 0.304763, 0.708042, 0.000000, 0.000000, 0.000000, 0.000000], [0.530703, -0.372420, 0.258826, 0.433252, 0.565984, 0.067980, 0.000000, 0.000000, 0.000000, 0.000000], [-0.511187, -0.473049, -0.144207, -0.413995, 0.524774, 0.217572, 0.000000, 0.000000, 0.000000, 0.000000], [0.279047, 0.415329, 0.108439, -0.551645, 0.442850, -0.487286, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.015606, 22.501020, 26.353462, 27.115556, 132.345508], [22.965361, 24.600248, 27.698415, 34.459139, 64.793630], [20.703643, 20.938642, 24.957699, 26.342876, 79.863705], [28.406165, 30.378527, 30.636861, 32.304876, 196.604611], [24.881812, 25.086473, 25.094104, 28.027867, 28.538001], [18.966633, 20.171653, 20.718822, 21.030063, 28.883125]]
### 2
mean: [1.241347, -0.279676, 1.195706, 1.292410, -0.153083, -0.650975]
std: [0.901827, 0.512851, 1.014686, 1.184232, 1.069200, 0.628694]
pca: [[0.391826, -0.468645, -0.341446, 0.215083, 0.062459, 0.678305, 0.000000, 0.000000, 0.000000, 0.000000], [0.090507, 0.267605, 0.356905, 0.249687, 0.840372, 0.155712, 0.000000, 0.000000, 0.000000, 0.000000], [0.593146, -0.164960, -0.317184, 0.132123, 0.209627, -0.677467, 0.000000, 0.000000, 0.000000, 0.000000], [0.619664, 0.241000, 0.577796, 0.126438, -0.445019, 0.100294, 0.000000, 0.000000, 0.000000, 0.000000], [0.241385, 0.723176, -0.506164, -0.342281, 0.021099, 0.212008, 0.000000, 0.000000, 0.000000, 0.000000], [-0.210260, 0.316991, -0.255693, 0.860695, -0.217814, -0.041103, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.946340, 15.125681, 15.730992, 19.179511, 111.721254], [6.680942, 8.206006, 8.380661, 8.946660, 25.170824], [15.064589, 15.827876, 19.067348, 24.568942, 107.613510], [15.899300, 19.912771, 23.570901, 23.710202, 116.316848], [15.313656, 15.558476, 15.978390, 19.782072, 21.512471], [10.063598, 11.208616, 11.592442, 14.339984, 58.587764]]
### 4
mean: [0.355783, 1.002043, 0.095456, 1.255440, 0.232040, 1.275503]
std: [0.959611, 0.889075, 0.670696, 1.093630, 0.647150, 1.072026]
pca: [[-0.395371, 0.535572, 0.053575, -0.120989, -0.417772, 0.603989, 0.000000, 0.000000, 0.000000, 0.000000], [0.449841, 0.129991, 0.776251, 0.378705, 0.000346, 0.186445, 0.000000, 0.000000, 0.000000, 0.000000], [-0.328186, 0.212439, -0.031768, 0.645309, -0.380143, -0.534062, 0.000000, 0.000000, 0.000000, 0.000000], [0.565132, 0.088084, -0.617470, 0.405440, -0.152074, 0.322628, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234823, 0.421528, -0.105015, 0.298490, 0.810323, 0.102105, 0.000000, 0.000000, 0.000000, 0.000000], [0.398876, 0.682415, -0.035454, -0.414781, -0.034758, -0.447994, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.689501, 14.110221, 17.650761, 18.017577, 32.020498], [13.498825, 13.767248, 15.290553, 20.897110, 90.183866], [9.716178, 10.392139, 11.311013, 12.529980, 12.929464], [16.524612, 16.908413, 20.130062, 25.608042, 112.989635], [8.876406, 9.160190, 11.610463, 11.885594, 20.883625], [17.190383, 18.005321, 22.732377, 23.703309, 114.795266]]
### 6
mean: [0.189640, -0.533327, 0.398369, 0.298357, 1.149583, -0.721075]
std: [0.867811, 0.265307, 1.059199, 1.340827, 1.064423, 0.340013]
pca: [[0.400281, 0.119122, 0.115642, 0.754226, -0.381494, 0.312757, 0.000000, 0.000000, 0.000000, 0.000000], [0.091427, -0.312156, 0.235534, 0.017274, 0.640480, 0.654378, 0.000000, 0.000000, 0.000000, 0.000000], [0.478907, 0.388636, 0.518768, -0.545330, -0.189294, 0.131424, 0.000000, 0.000000, 0.000000, 0.000000], [0.618878, 0.196691, -0.262702, 0.138607, 0.546893, -0.437020, 0.000000, 0.000000, 0.000000, 0.000000], [-0.464413, 0.636303, 0.412276, 0.296200, 0.330638, -0.111407, 0.000000, 0.000000, 0.000000, 0.000000], [0.058088, -0.541997, 0.650420, 0.162830, -0.001818, -0.503291, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.808970, 15.446318, 15.734018, 17.067636, 17.737856], [3.898497, 4.131712, 4.867875, 6.294327, 47.999399], [16.277082, 16.396084, 19.705988, 21.121156, 35.853198], [21.589788, 23.320377, 24.422648, 26.852143, 28.083108], [16.080837, 16.488511, 20.987955, 24.296528, 103.462488], [5.994654, 6.109761, 6.882265, 7.247877, 64.896771]]
### 8
mean: [0.091759]
std: [1.533753]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.809880, 22.338259, 22.398024, 29.155886, 32.712365]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.4705055952072144, "std": 1.306187629699707, "pca": [-0.41386744379997253, 0.23965899646282196, -0.3744291365146637, 0.5634214282035828, 0.33922427892684937, -0.44560444355010986, 0.0, 0.0, 0.0, 0.0], "fourier": [21.015605830592364, 22.501019636769733, 26.353461834762175, 27.115556038003305, 132.34550786018372]}, "1": {"mean": -0.7199292778968811, "std": 1.6188627481460571, "pca": [-0.4550377428531647, 0.0938376933336258, 0.8718124628067017, 0.11474640667438507, 0.014326753094792366, -0.1034708023071289, 0.0, 0.0, 0.0, 0.0], "fourier": [22.96536143019674, 24.60024790396082, 27.698414687867473, 34.45913894682178, 64.79362989962101]}, "2": {"mean": 0.8873745203018188, "std": 1.3052140474319458, "pca": [-0.02879161201417446, 0.6314964890480042, -0.014150536619126797, 0.07732370495796204, 0.30476251244544983, 0.7080422639846802, 0.0, 0.0, 0.0, 0.0], "fourier": [20.703642641159952, 20.938642018326565, 24.95769862479812, 26.342876112383042, 79.863705329597]}, "3": {"mean": -2.184495687484741, "std": 1.6008468866348267, "pca": [0.5307028889656067, -0.37242016196250916, 0.2588264048099518, 0.4332517385482788, 0.565984308719635, 0.06798026710748672, 0.0, 0.0, 0.0, 0.0], "fourier": [28.406165415247763, 30.3785266681919, 30.636860812888848, 32.30487600112078, 196.6046106815338]}, "4": {"mean": -0.2788233757019043, "std": 1.6455000638961792, "pca": [-0.5111873745918274, -0.4730485677719116, -0.14420680701732635, -0.4139949083328247, 0.5247737765312195, 0.21757206320762634, 0.0, 0.0, 0.0, 0.0], "fourier": [24.881812388886367, 25.086473032802058, 25.094103664159775, 28.027867416118145, 28.53800133097588]}, "5": {"mean": 0.3209236264228821, "std": 1.1804858446121216, "pca": [0.27904725074768066, 0.4153294563293457, 0.10843873023986816, -0.5516445636749268, 0.4428495168685913, -0.4872860610485077, 0.0, 0.0, 0.0, 0.0], "fourier": [18.966632527520343, 20.171653221140197, 20.718821662545512, 21.030062719982304, 28.883125141263008]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 1.241347312927246, "std": 0.9018267393112183, "pca": [0.3918256461620331, -0.46864521503448486, -0.3414458930492401, 0.21508310735225677, 0.06245920807123184, 0.6783046126365662, 0.0, 0.0, 0.0, 0.0], "fourier": [14.946339706418508, 15.125680960586697, 15.730991952169076, 19.17951052720859, 111.72125400602818]}, "1": {"mean": -0.27967581152915955, "std": 0.5128509998321533, "pca": [0.09050718694925308, 0.267604798078537, 0.35690489411354065, 0.24968700110912323, 0.8403721451759338, 0.15571168065071106, 0.0, 0.0, 0.0, 0.0], "fourier": [6.680941799535223, 8.206006317818781, 8.38066103137909, 8.946660276409613, 25.170823976397514]}, "2": {"mean": 1.195705533027649, "std": 1.014685869216919, "pca": [0.5931457877159119, -0.16495954990386963, -0.3171835243701935, 0.1321229785680771, 0.2096267193555832, -0.6774667501449585, 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-0.03545374795794487, -0.414781391620636, -0.03475785255432129, -0.4479942321777344, 0.0, 0.0, 0.0, 0.0], "fourier": [17.190383145415858, 18.005321287975974, 22.732376821552503, 23.70330906068974, 114.79526609182358]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 0.18964040279388428, "std": 0.8678112030029297, "pca": [0.4002813398838043, 0.1191217452287674, 0.1156420111656189, 0.7542261481285095, -0.3814941644668579, 0.3127570152282715, 0.0, 0.0, 0.0, 0.0], "fourier": [13.80897032957399, 15.44631819665998, 15.734017974835707, 17.06763646006584, 17.737856129621143]}, "1": {"mean": -0.5333266854286194, "std": 0.2653067111968994, "pca": [0.09142705053091049, -0.31215614080429077, 0.235534206032753, 0.017273584380745888, 0.6404795050621033, 0.6543782949447632, 0.0, 0.0, 0.0, 0.0], "fourier": [3.8984969846180744, 4.131711950001432, 4.867875369674754, 6.294326586048622, 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"5": {"mean": -0.721075177192688, "std": 0.34001296758651733, "pca": [0.058088380843400955, -0.5419972538948059, 0.6504195332527161, 0.16282989084720612, -0.001817871700040996, -0.5032914876937866, 0.0, 0.0, 0.0, 0.0], "fourier": [5.994653506006782, 6.109760977688596, 6.882265053447264, 7.247877360280598, 64.8967707157135]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": 0.0917588472366333, "std": 1.5337527990341187, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [21.809880474266908, 22.33825928130875, 22.398024154111265, 29.15588553955446, 32.71236479934914]}}, "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": "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": [[0.362993, 0.183349, -0.185372, -0.046179, 0.514913], [0.533039, -0.499629, 0.133352, -0.33772, 0.129677], [-0.157391, -0.145793, 0.270873, 0.10759, 0.582233], [-0.399961, -0.189154, -0.238481, 0.101, -0.454107], [0.541891, 0.421522, -0.209393, -0.419818, -0.207059], [-0.487668, -0.111596, 0.408021, 0.096914, 0.191796]], "network.0.bias": [0.535869, -0.187103, -0.165723, -0.500448, -0.128235, -0.165533], "network.2.weight": [[0.168774, -0.48461, 0.344673, -0.137675, 0.676317, 0.623332], [0.434672, 0.3155, -0.324906, 0.164576, -0.509075, -0.233514], [0.372261, -0.242646, 0.210053, -0.210302, 0.746052, 0.424915], [0.584811, 0.474383, 0.2686, -0.140753, -0.147871, -0.63471], [0.074046, 0.257648, -0.412665, -0.011382, 0.643491, -0.183349], [0.105105, -0.316323, -0.47807, -0.268257, -0.105836, -0.096069]], "network.2.bias": [0.056226, -0.294244, -0.139035, 0.485539, -0.131728, -0.122912], "network.4.weight": [[-0.508643, 0.220874, -0.325673, 0.633021, -0.345615, -0.191907], [0.350561, -0.165472, 0.618666, -0.052061, -0.008002, 0.076042], [-0.289163, -0.206838, -0.413691, 0.408117, -0.217519, -0.306927], [0.401667, -0.207154, 0.458819, -0.086692, 0.618491, -0.281673], [-0.165698, 0.015629, -0.45289, 0.571634, -0.064246, 0.179544], [0.055776, 0.329714, 0.539524, 0.41292, 0.220442, -0.006829]], "network.4.bias": [0.635427, -0.087169, 0.500166, 0.139341, 0.245197, -0.083835], "network.6.weight": [[0.229311, -0.266176, 0.220189, -0.534551, 0.124634, 0.255738], [-0.109784, -0.230912, -0.314535, -0.0238, 0.316484, -0.092786], [0.470499, -0.645341, 0.22963, -0.2476, 0.230344, 0.296501], [0.568334, -0.153687, 0.246414, -0.510556, 0.658675, -0.083331], [-0.359636, -0.03503, -0.337475, 0.53878, 0.017446, 0.340044], [-0.144699, -0.492802, -0.421395, -0.093643, -0.172326, 0.103878]], "network.6.bias": [0.55404, -0.108795, 0.551066, 0.547197, 0.382044, 0.042448], "network.8.weight": [[0.493751, -0.158856, 0.64845, 0.462175, -0.365718, 0.044074]], "network.8.bias": [-0.423697]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6820318102836609, "train_acc": 0.56, "val_loss": 0.6814285516738892, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6752313375473022, "train_acc": 0.56, "val_loss": 0.6691636443138123, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.658316433429718, "train_acc": 0.56, "val_loss": 0.6446940898895264, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6376400589942932, "train_acc": 0.59, "val_loss": 0.5954763293266296, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5831888020038605, "train_acc": 0.925, "val_loss": 0.534554660320282, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5072273164987564, "train_acc": 0.945, "val_loss": 0.47024232149124146, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4444662779569626, "train_acc": 0.945, "val_loss": 0.40064865350723267, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.37550219893455505, "train_acc": 0.95, "val_loss": 0.33480751514434814, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.30988065898418427, "train_acc": 0.95, "val_loss": 0.2678976058959961, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.22760017961263657, "train_acc": 0.96, "val_loss": 0.19772204756736755, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.16941014677286148, "train_acc": 0.985, "val_loss": 0.12901578843593597, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.11542823538184166, "train_acc": 0.985, "val_loss": 0.07463610917329788, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.06405274011194706, "train_acc": 0.99, "val_loss": 0.04076506197452545, "val_acc": 1.0}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6814285516738892, "final_val_loss": 0.6446940898895264, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5954763293266296, "final_val_loss": 0.04076506197452545, "initial_val_acc": 0.96, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 9}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
9,946
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9911, "learning_rate": 0.02925781519341889, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.604278,
0.1513,
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],
[
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0.024373,
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0.16337
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[
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0.209256,
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-0.308706
],
[
0.395316,
0.584357,
0.195327,
-0.213564,
0.197724
],
[
0.162023,
0.485595,
-0.395048,
0.08616,
0.247874
],
[
0.553888,
0.339994,
-0.315396,
0.078206,
0.170501
]
],
"network.0.bias": [
0.434363,
0.181705,
-0.317748,
0.235803,
0.169875,
0.220606
],
"network.2.weight": [
[
0.597904,
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0.342933,
0.487282
],
[
0.311359,
-0.275341,
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0.42089,
0.540009,
0.157969
],
[
0.193439,
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-0.032246,
0.130643
],
[
0.105813,
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0.181718,
0.143744,
0.129621
],
[
0.256873,
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0.443993,
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0.047466
],
[
0.547631,
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-0.02791
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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0.325268,
0.355529,
0.083376,
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[
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0.391394
],
[
0.417446,
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0.32257,
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0.371963
],
[
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0.147248,
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0.05389,
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[
0.57899,
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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": [
0.260547,
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"network.8.weight": [
[
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[
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[
0.112999,
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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: [1.204656, 0.835161, -1.571904, 1.986481, 0.921630, 1.248600]
std: [1.616871, 1.028356, 1.276533, 1.749856, 1.224740, 1.459373]
pca: [[0.514297, 0.324762, 0.407612, -0.553826, -0.396378, 0.006531, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104271, -0.483557, 0.582663, 0.046827, 0.012863, 0.642998, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184243, 0.649785, -0.254404, -0.014589, 0.063456, 0.689110, 0.000000, 0.000000, 0.000000, 0.000000], [0.587985, 0.216447, 0.188696, 0.750654, 0.085971, 0.030748, 0.000000, 0.000000, 0.000000, 0.000000], [0.318273, -0.385640, -0.575736, 0.060567, -0.574901, 0.290400, 0.000000, 0.000000, 0.000000, 0.000000], [0.493616, -0.207156, -0.250114, -0.351741, 0.707665, 0.162362, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.927778, 26.460621, 29.272323, 33.556125, 108.419021], [14.599742, 14.781019, 16.892139, 17.894364, 75.164512], [17.949245, 17.961669, 18.104770, 24.993209, 141.471326], [26.556185, 27.544567, 29.898386, 32.507628, 178.783263], [20.603077, 20.786227, 21.795059, 23.062756, 82.946735], [21.841543, 21.869446, 22.732683, 23.770277, 112.374029]]
### 2
mean: [2.365987, 1.792759, -1.022752, 0.648502, -0.706709, 0.375286]
std: [2.657141, 1.847569, 0.577808, 0.724672, 0.436822, 1.002592]
pca: [[0.779175, -0.004914, -0.023198, 0.241649, -0.453983, -0.357532, 0.000000, 0.000000, 0.000000, 0.000000], [0.537972, -0.086153, -0.338045, -0.528473, 0.532105, 0.162693, 0.000000, 0.000000, 0.000000, 0.000000], [0.006624, 0.726378, -0.255675, -0.261341, -0.430725, 0.391329, 0.000000, 0.000000, 0.000000, 0.000000], [0.198849, -0.302751, -0.010955, 0.461206, -0.046193, 0.808601, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034668, 0.384408, -0.518456, 0.607934, 0.425818, -0.176996, 0.000000, 0.000000, 0.000000, 0.000000], [0.250371, 0.474869, 0.742227, 0.108295, 0.376542, 0.086024, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.858011, 43.574546, 44.579836, 45.834964, 212.938793], [28.574591, 29.445358, 29.878527, 30.715759, 161.348283], [8.888290, 9.111279, 9.461721, 9.915489, 92.047664], [11.410794, 11.903281, 12.262733, 13.779003, 58.365157], [6.993036, 7.006145, 7.364393, 7.599201, 63.603789], [16.544989, 16.701356, 18.599860, 19.415807, 33.775767]]
### 4
mean: [-0.315956, -0.346965, -2.380175, 1.684126, -0.365346, 2.598989]
std: [0.907443, 0.336872, 2.101153, 2.135682, 0.703719, 2.830604]
pca: [[-0.211865, -0.110045, 0.075859, 0.609323, 0.549337, -0.514007, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074078, -0.252063, 0.724064, 0.262379, 0.069854, 0.577049, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487226, 0.852560, 0.122245, 0.044693, 0.039360, 0.131387, 0.000000, 0.000000, 0.000000, 0.000000], [0.498420, 0.273253, 0.579285, -0.373000, 0.207342, -0.399024, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164104, -0.121703, -0.190338, -0.495827, 0.766704, 0.297237, 0.000000, 0.000000, 0.000000, 0.000000], [0.660972, 0.328660, -0.288503, 0.415827, 0.246930, 0.371455, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.320801, 15.334706, 15.558367, 15.602600, 28.436075], [4.963135, 5.065488, 5.657825, 6.493850, 31.226896], [32.125045, 33.129637, 35.267487, 36.862346, 214.215718], [36.117152, 36.247889, 36.401646, 37.310765, 151.571355], [11.860486, 11.992171, 11.994976, 12.308892, 32.881093], [47.552271, 47.865047, 48.319850, 48.611357, 233.909022]]
### 6
mean: [1.634949, -0.577453, 0.961762, 1.833786, -0.526799, 2.315361]
std: [1.688383, 0.708215, 1.301531, 2.301606, 0.523619, 2.691745]
pca: [[0.399503, 0.180129, -0.071446, 0.432678, -0.383933, 0.684274, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167455, 0.310396, 0.880179, 0.193332, -0.213434, -0.134043, 0.000000, 0.000000, 0.000000, 0.000000], [0.307856, 0.735687, -0.282383, 0.224672, 0.154993, -0.457984, 0.000000, 0.000000, 0.000000, 0.000000], [0.544606, 0.114243, 0.336951, -0.480602, 0.516645, 0.280920, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123869, -0.204595, 0.083930, 0.670051, 0.690671, 0.098779, 0.000000, 0.000000, 0.000000, 0.000000], [0.636900, -0.524464, 0.140928, 0.212104, -0.197659, -0.464089, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.821628, 28.795660, 28.814606, 28.961923, 147.145454], [11.397761, 11.612898, 12.232462, 12.372007, 51.970726], [21.388953, 21.993116, 22.132785, 22.342252, 86.558572], [38.101179, 39.203228, 39.321190, 39.541131, 165.040738], [8.637663, 8.897930, 8.903193, 8.910328, 47.411955], [44.434261, 45.683990, 46.015504, 46.595912, 208.382482]]
### 8
mean: [-0.506040, -0.818061, 2.078156, 1.601305, -0.666649, -0.398999]
std: [0.729163, 1.651693, 2.509113, 1.639125, 1.194447, 0.503479]
pca: [[-0.195376, 0.339098, 0.098488, 0.679491, -0.566467, -0.233556, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442674, 0.399952, -0.172599, 0.332829, 0.685039, 0.185026, 0.000000, 0.000000, 0.000000, 0.000000], [0.672527, -0.216116, -0.014777, 0.577540, 0.176853, 0.368719, 0.000000, 0.000000, 0.000000, 0.000000], [0.439197, 0.765426, 0.388535, -0.257134, 0.048195, 0.042777, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320153, -0.036753, 0.327609, -0.076805, -0.291239, 0.835526, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134848, -0.301857, 0.837857, 0.148147, 0.302352, -0.274462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.165913, 12.428070, 12.699571, 12.899755, 45.543570], [27.716566, 27.902010, 28.592218, 29.124494, 73.625490], [42.164987, 42.235743, 43.255414, 44.128580, 187.034095], [26.941546, 27.818674, 27.986080, 28.540225, 144.117436], [20.007941, 20.119449, 20.528357, 20.987181, 59.998400], [8.303268, 8.494193, 8.502710, 8.814895, 35.909916]]
### 10
mean: [1.119864, 1.151666, -0.072776, 1.966494, 1.000491, -0.139398]
std: [1.593006, 1.457664, 0.163943, 2.142809, 1.014473, 0.340157]
pca: [[0.493920, 0.079724, -0.258722, 0.597567, -0.479320, -0.309703, 0.000000, 0.000000, 0.000000, 0.000000], [0.451825, 0.227394, 0.678267, -0.024670, 0.360010, -0.392280, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032470, 0.811509, -0.246225, 0.251158, 0.347176, 0.310099, 0.000000, 0.000000, 0.000000, 0.000000], [0.664408, 0.054631, -0.069530, -0.493576, -0.214299, 0.511079, 0.000000, 0.000000, 0.000000, 0.000000], [0.313554, -0.519475, -0.250841, 0.326767, 0.649228, 0.201581, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105300, -0.102717, 0.587055, 0.478364, -0.229548, 0.593467, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.643278, 27.053084, 27.131762, 27.539369, 100.787735], [23.699464, 24.531082, 24.846976, 25.621032, 103.649957], [2.375273, 2.671252, 2.687002, 3.095766, 6.549854], [34.387115, 36.400595, 36.519989, 36.975502, 176.984438], [15.430167, 16.602351, 16.888755, 17.598905, 90.044177], [5.648114, 5.743660, 5.843324, 5.954655, 12.545803]]
### 12
mean: [-1.818279]
std: [2.239203]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.075334, 37.458568, 38.193537, 39.518264, 163.645059]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.604278,
0.1513,
0.007904,
-0.298558,
0.297025
],
[
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0.024373,
0.446439,
0.16337
],
[
-0.130322,
-0.090099,
0.209256,
-0.45894,
-0.308706
],
[
0.395316,
0.584357,
0.195327,
-0.213564,
0.197724
],
[
0.162023,
0.485595,
-0.395048,
0.08616,
0.247874
],
[
0.553888,
0.339994,
-0.315396,
0.078206,
0.170501
]
],
"network.0.bias": [
0.434363,
0.181705,
-0.317748,
0.235803,
0.169875,
0.220606
],
"network.2.weight": [
[
0.597904,
-0.194476,
-0.684982,
0.511241,
0.342933,
0.487282
],
[
0.311359,
-0.275341,
-0.650133,
0.42089,
0.540009,
0.157969
],
[
0.193439,
-0.596205,
0.512416,
-0.337147,
-0.032246,
0.130643
],
[
0.105813,
0.188354,
-0.495734,
0.181718,
0.143744,
0.129621
],
[
0.256873,
-0.361232,
0.443993,
-0.499241,
0.277024,
0.047466
],
[
0.547631,
-0.076012,
0.162493,
0.146923,
-0.233873,
-0.02791
]
],
"network.2.bias": [
-0.154031,
0.081769,
-0.224696,
-0.307716,
-0.060879,
-0.241354
],
"network.4.weight": [
[
-0.138135,
-0.218286,
0.370598,
-0.03228,
-0.312898,
-0.145667
],
[
0.035837,
-0.283529,
0.325268,
0.355529,
0.083376,
-0.156687
],
[
-0.533001,
-0.387959,
-0.146864,
-0.366946,
0.481947,
0.391394
],
[
0.417446,
0.280529,
-0.410767,
0.32257,
0.319533,
0.371963
],
[
-0.248561,
0.018807,
0.147248,
-0.024625,
0.05389,
-0.073975
],
[
0.57899,
0.563595,
-0.667668,
-0.069975,
-0.392042,
0.365198
]
],
"network.4.bias": [
0.477569,
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-0.387669,
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0.254746,
0.006176
],
"network.6.weight": [
[
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0.186593,
-0.340476,
0.420372
],
[
0.345052,
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0.082724,
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0.293902,
-0.070263
],
[
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0.19106,
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0.433895
],
[
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0.186613,
0.312531,
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0.535606
],
[
0.140439,
0.05952,
0.202821,
0.011472,
0.027978,
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],
[
-0.456278,
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0.517699,
0.529789,
-0.413432,
0.500943
]
],
"network.6.bias": [
0.260547,
-0.092945,
-0.160377,
-0.035299,
-0.058349,
0.239819
],
"network.8.weight": [
[
-0.102404,
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-0.158168,
-0.165275,
-0.125299,
0.008622
],
[
0.120306,
0.077455,
-0.396476,
-0.380852,
-0.22414,
-0.177473
],
[
0.112999,
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0.683989,
0.144753,
0.147148,
0.408801
],
[
0.354453,
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0.347876,
-0.39656,
0.099537
],
[
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0.049496,
-0.421862,
0.059603,
0.035407,
-0.173737
],
[
-0.212339,
0.203882,
-0.491376,
0.297156,
0.166979,
-0.06682
]
],
"network.8.bias": [
0.063997,
0.448802,
0.07151,
0.183213,
0.313166,
0.036948
],
"network.10.weight": [
[
0.286009,
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0.280221,
0.486585,
-0.3205,
-0.320753
],
[
-0.378236,
0.019747,
0.443018,
0.16968,
-0.176204,
-0.460798
],
[
0.437529,
0.26377,
0.104068,
-0.166769,
0.554457,
-0.177311
],
[
-0.55503,
-0.470907,
0.515711,
0.444267,
-0.236897,
0.209957
],
[
0.044502,
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0.15493,
0.302763,
-0.444576,
-0.22741
],
[
0.009843,
0.12853,
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0.228956,
0.119288,
-0.245439
]
],
"network.10.bias": [
-0.155893,
-0.052073,
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0.293955,
0.285656,
0.049672
],
"network.12.weight": [
[
-0.224357,
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0.193075,
-0.362024,
-0.488729,
0.117761
]
],
"network.12.bias": [
0.037693
]
}
## Activation Signature
### 0
mean: [1.204656, 0.835161, -1.571904, 1.986481, 0.921630, 1.248600]
std: [1.616871, 1.028356, 1.276533, 1.749856, 1.224740, 1.459373]
pca: [[0.514297, 0.324762, 0.407612, -0.553826, -0.396378, 0.006531, 0.000000, 0.000000, 0.000000, 0.000000], [-0.104271, -0.483557, 0.582663, 0.046827, 0.012863, 0.642998, 0.000000, 0.000000, 0.000000, 0.000000], [-0.184243, 0.649785, -0.254404, -0.014589, 0.063456, 0.689110, 0.000000, 0.000000, 0.000000, 0.000000], [0.587985, 0.216447, 0.188696, 0.750654, 0.085971, 0.030748, 0.000000, 0.000000, 0.000000, 0.000000], [0.318273, -0.385640, -0.575736, 0.060567, -0.574901, 0.290400, 0.000000, 0.000000, 0.000000, 0.000000], [0.493616, -0.207156, -0.250114, -0.351741, 0.707665, 0.162362, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.927778, 26.460621, 29.272323, 33.556125, 108.419021], [14.599742, 14.781019, 16.892139, 17.894364, 75.164512], [17.949245, 17.961669, 18.104770, 24.993209, 141.471326], [26.556185, 27.544567, 29.898386, 32.507628, 178.783263], [20.603077, 20.786227, 21.795059, 23.062756, 82.946735], [21.841543, 21.869446, 22.732683, 23.770277, 112.374029]]
### 2
mean: [2.365987, 1.792759, -1.022752, 0.648502, -0.706709, 0.375286]
std: [2.657141, 1.847569, 0.577808, 0.724672, 0.436822, 1.002592]
pca: [[0.779175, -0.004914, -0.023198, 0.241649, -0.453983, -0.357532, 0.000000, 0.000000, 0.000000, 0.000000], [0.537972, -0.086153, -0.338045, -0.528473, 0.532105, 0.162693, 0.000000, 0.000000, 0.000000, 0.000000], [0.006624, 0.726378, -0.255675, -0.261341, -0.430725, 0.391329, 0.000000, 0.000000, 0.000000, 0.000000], [0.198849, -0.302751, -0.010955, 0.461206, -0.046193, 0.808601, 0.000000, 0.000000, 0.000000, 0.000000], [-0.034668, 0.384408, -0.518456, 0.607934, 0.425818, -0.176996, 0.000000, 0.000000, 0.000000, 0.000000], [0.250371, 0.474869, 0.742227, 0.108295, 0.376542, 0.086024, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.858011, 43.574546, 44.579836, 45.834964, 212.938793], [28.574591, 29.445358, 29.878527, 30.715759, 161.348283], [8.888290, 9.111279, 9.461721, 9.915489, 92.047664], [11.410794, 11.903281, 12.262733, 13.779003, 58.365157], [6.993036, 7.006145, 7.364393, 7.599201, 63.603789], [16.544989, 16.701356, 18.599860, 19.415807, 33.775767]]
### 4
mean: [-0.315956, -0.346965, -2.380175, 1.684126, -0.365346, 2.598989]
std: [0.907443, 0.336872, 2.101153, 2.135682, 0.703719, 2.830604]
pca: [[-0.211865, -0.110045, 0.075859, 0.609323, 0.549337, -0.514007, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074078, -0.252063, 0.724064, 0.262379, 0.069854, 0.577049, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487226, 0.852560, 0.122245, 0.044693, 0.039360, 0.131387, 0.000000, 0.000000, 0.000000, 0.000000], [0.498420, 0.273253, 0.579285, -0.373000, 0.207342, -0.399024, 0.000000, 0.000000, 0.000000, 0.000000], [-0.164104, -0.121703, -0.190338, -0.495827, 0.766704, 0.297237, 0.000000, 0.000000, 0.000000, 0.000000], [0.660972, 0.328660, -0.288503, 0.415827, 0.246930, 0.371455, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.320801, 15.334706, 15.558367, 15.602600, 28.436075], [4.963135, 5.065488, 5.657825, 6.493850, 31.226896], [32.125045, 33.129637, 35.267487, 36.862346, 214.215718], [36.117152, 36.247889, 36.401646, 37.310765, 151.571355], [11.860486, 11.992171, 11.994976, 12.308892, 32.881093], [47.552271, 47.865047, 48.319850, 48.611357, 233.909022]]
### 6
mean: [1.634949, -0.577453, 0.961762, 1.833786, -0.526799, 2.315361]
std: [1.688383, 0.708215, 1.301531, 2.301606, 0.523619, 2.691745]
pca: [[0.399503, 0.180129, -0.071446, 0.432678, -0.383933, 0.684274, 0.000000, 0.000000, 0.000000, 0.000000], [-0.167455, 0.310396, 0.880179, 0.193332, -0.213434, -0.134043, 0.000000, 0.000000, 0.000000, 0.000000], [0.307856, 0.735687, -0.282383, 0.224672, 0.154993, -0.457984, 0.000000, 0.000000, 0.000000, 0.000000], [0.544606, 0.114243, 0.336951, -0.480602, 0.516645, 0.280920, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123869, -0.204595, 0.083930, 0.670051, 0.690671, 0.098779, 0.000000, 0.000000, 0.000000, 0.000000], [0.636900, -0.524464, 0.140928, 0.212104, -0.197659, -0.464089, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.821628, 28.795660, 28.814606, 28.961923, 147.145454], [11.397761, 11.612898, 12.232462, 12.372007, 51.970726], [21.388953, 21.993116, 22.132785, 22.342252, 86.558572], [38.101179, 39.203228, 39.321190, 39.541131, 165.040738], [8.637663, 8.897930, 8.903193, 8.910328, 47.411955], [44.434261, 45.683990, 46.015504, 46.595912, 208.382482]]
### 8
mean: [-0.506040, -0.818061, 2.078156, 1.601305, -0.666649, -0.398999]
std: [0.729163, 1.651693, 2.509113, 1.639125, 1.194447, 0.503479]
pca: [[-0.195376, 0.339098, 0.098488, 0.679491, -0.566467, -0.233556, 0.000000, 0.000000, 0.000000, 0.000000], [-0.442674, 0.399952, -0.172599, 0.332829, 0.685039, 0.185026, 0.000000, 0.000000, 0.000000, 0.000000], [0.672527, -0.216116, -0.014777, 0.577540, 0.176853, 0.368719, 0.000000, 0.000000, 0.000000, 0.000000], [0.439197, 0.765426, 0.388535, -0.257134, 0.048195, 0.042777, 0.000000, 0.000000, 0.000000, 0.000000], [-0.320153, -0.036753, 0.327609, -0.076805, -0.291239, 0.835526, 0.000000, 0.000000, 0.000000, 0.000000], [-0.134848, -0.301857, 0.837857, 0.148147, 0.302352, -0.274462, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.165913, 12.428070, 12.699571, 12.899755, 45.543570], [27.716566, 27.902010, 28.592218, 29.124494, 73.625490], [42.164987, 42.235743, 43.255414, 44.128580, 187.034095], [26.941546, 27.818674, 27.986080, 28.540225, 144.117436], [20.007941, 20.119449, 20.528357, 20.987181, 59.998400], [8.303268, 8.494193, 8.502710, 8.814895, 35.909916]]
### 10
mean: [1.119864, 1.151666, -0.072776, 1.966494, 1.000491, -0.139398]
std: [1.593006, 1.457664, 0.163943, 2.142809, 1.014473, 0.340157]
pca: [[0.493920, 0.079724, -0.258722, 0.597567, -0.479320, -0.309703, 0.000000, 0.000000, 0.000000, 0.000000], [0.451825, 0.227394, 0.678267, -0.024670, 0.360010, -0.392280, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032470, 0.811509, -0.246225, 0.251158, 0.347176, 0.310099, 0.000000, 0.000000, 0.000000, 0.000000], [0.664408, 0.054631, -0.069530, -0.493576, -0.214299, 0.511079, 0.000000, 0.000000, 0.000000, 0.000000], [0.313554, -0.519475, -0.250841, 0.326767, 0.649228, 0.201581, 0.000000, 0.000000, 0.000000, 0.000000], [-0.105300, -0.102717, 0.587055, 0.478364, -0.229548, 0.593467, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.643278, 27.053084, 27.131762, 27.539369, 100.787735], [23.699464, 24.531082, 24.846976, 25.621032, 103.649957], [2.375273, 2.671252, 2.687002, 3.095766, 6.549854], [34.387115, 36.400595, 36.519989, 36.975502, 176.984438], [15.430167, 16.602351, 16.888755, 17.598905, 90.044177], [5.648114, 5.743660, 5.843324, 5.954655, 12.545803]]
### 12
mean: [-1.818279]
std: [2.239203]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.075334, 37.458568, 38.193537, 39.518264, 163.645059]]
## 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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{"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": 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": [[0.604278, 0.1513, 0.007904, -0.298558, 0.297025], [-0.09841, -0.238084, 0.024373, 0.446439, 0.16337], [-0.130322, -0.090099, 0.209256, -0.45894, -0.308706], [0.395316, 0.584357, 0.195327, -0.213564, 0.197724], [0.162023, 0.485595, -0.395048, 0.08616, 0.247874], [0.553888, 0.339994, -0.315396, 0.078206, 0.170501]], "network.0.bias": [0.434363, 0.181705, -0.317748, 0.235803, 0.169875, 0.220606], "network.2.weight": [[0.597904, -0.194476, -0.684982, 0.511241, 0.342933, 0.487282], [0.311359, -0.275341, -0.650133, 0.42089, 0.540009, 0.157969], [0.193439, -0.596205, 0.512416, -0.337147, -0.032246, 0.130643], [0.105813, 0.188354, -0.495734, 0.181718, 0.143744, 0.129621], [0.256873, -0.361232, 0.443993, -0.499241, 0.277024, 0.047466], [0.547631, -0.076012, 0.162493, 0.146923, -0.233873, -0.02791]], "network.2.bias": [-0.154031, 0.081769, -0.224696, -0.307716, -0.060879, -0.241354], "network.4.weight": [[-0.138135, -0.218286, 0.370598, -0.03228, -0.312898, -0.145667], [0.035837, -0.283529, 0.325268, 0.355529, 0.083376, -0.156687], [-0.533001, -0.387959, -0.146864, -0.366946, 0.481947, 0.391394], [0.417446, 0.280529, -0.410767, 0.32257, 0.319533, 0.371963], [-0.248561, 0.018807, 0.147248, -0.024625, 0.05389, -0.073975], [0.57899, 0.563595, -0.667668, -0.069975, -0.392042, 0.365198]], "network.4.bias": [0.477569, -0.017658, -0.387669, -0.143867, 0.254746, 0.006176], "network.6.weight": [[-0.125729, -0.40036, 0.360895, 0.186593, -0.340476, 0.420372], [0.345052, -0.407954, 0.082724, -0.217703, 0.293902, -0.070263], [-0.155258, -0.656354, 0.19106, -0.006776, -0.079339, 0.433895], [-0.428376, -0.449224, 0.186613, 0.312531, -0.113828, 0.535606], [0.140439, 0.05952, 0.202821, 0.011472, 0.027978, -0.187216], [-0.456278, -0.039368, 0.517699, 0.529789, -0.413432, 0.500943]], "network.6.bias": [0.260547, -0.092945, -0.160377, -0.035299, -0.058349, 0.239819], "network.8.weight": [[-0.102404, -0.131829, -0.158168, -0.165275, -0.125299, 0.008622], [0.120306, 0.077455, -0.396476, -0.380852, -0.22414, -0.177473], [0.112999, -0.074357, 0.683989, 0.144753, 0.147148, 0.408801], [0.354453, -0.169148, -0.044985, 0.347876, -0.39656, 0.099537], [-0.184462, 0.049496, -0.421862, 0.059603, 0.035407, -0.173737], [-0.212339, 0.203882, -0.491376, 0.297156, 0.166979, -0.06682]], "network.8.bias": [0.063997, 0.448802, 0.07151, 0.183213, 0.313166, 0.036948], "network.10.weight": [[0.286009, -0.282078, 0.280221, 0.486585, -0.3205, -0.320753], [-0.378236, 0.019747, 0.443018, 0.16968, -0.176204, -0.460798], [0.437529, 0.26377, 0.104068, -0.166769, 0.554457, -0.177311], [-0.55503, -0.470907, 0.515711, 0.444267, -0.236897, 0.209957], [0.044502, -0.506048, 0.15493, 0.302763, -0.444576, -0.22741], [0.009843, 0.12853, -0.281872, 0.228956, 0.119288, -0.245439]], "network.10.bias": [-0.155893, -0.052073, -0.073345, 0.293955, 0.285656, 0.049672], "network.12.weight": [[-0.224357, -0.39903, 0.193075, -0.362024, -0.488729, 0.117761]], "network.12.bias": [0.037693]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881561577320099, "train_acc": 0.57, "val_loss": 0.6952541470527649, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6822073757648468, "train_acc": 0.57, "val_loss": 0.6947019696235657, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6726091504096985, "train_acc": 0.57, "val_loss": 0.6844087243080139, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6531040072441101, "train_acc": 0.57, "val_loss": 0.6499813795089722, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6276040077209473, "train_acc": 0.495, "val_loss": 0.5616693496704102, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5588943660259247, "train_acc": 0.545, "val_loss": 0.513170599937439, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4763422906398773, "train_acc": 0.82, "val_loss": 0.4805023968219757, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.43161559104919434, "train_acc": 0.83, "val_loss": 0.4658292829990387, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.42245396971702576, "train_acc": 0.85, "val_loss": 0.5152003765106201, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.37331336736679077, "train_acc": 0.855, "val_loss": 0.5069078803062439, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.35016411542892456, "train_acc": 0.85, "val_loss": 0.5089429616928101, "val_acc": 0.76}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6952541470527649, "final_val_loss": 0.6499813795089722, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5616693496704102, "final_val_loss": 0.5089429616928101, "initial_val_acc": 0.52, "final_val_acc": 0.76, "best_val_acc": 0.82, "best_epoch": 5}, "improvement": 0.29999999999999993, "first_improvement_epoch": 3}}
|
9,947
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.64, "improved_accuracy": 0.92, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5358, "learning_rate": 0.0319023463055459, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.056223,
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0.77651
],
[
-0.033162,
0.154209,
-0.106856,
0.055198,
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],
[
0.49081,
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-0.177745,
0.105875,
0.699555
],
[
-0.593529,
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-0.244202,
-0.828736
]
],
"network.0.bias": [
0.148763,
0.143514,
0.190532,
0.236882,
0.25455,
-0.057091
],
"network.2.weight": [
[
0.1987,
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0.443397
],
[
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0.107982
],
[
-0.001922,
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0.024543,
-0.118332,
-0.274895
],
[
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0.398783,
0.059331,
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0.552225
],
[
0.283088,
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],
[
0.463513,
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0.294963
]
],
"network.2.bias": [
0.387307,
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],
"network.4.weight": [
[
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[
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0.408613,
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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": [
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],
"network.10.weight": [
[
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],
[
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0.233285
],
[
0.595996,
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],
[
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],
[
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],
[
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]
],
"network.10.bias": [
0.234841,
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"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.122509, 0.858657, 1.620046, 0.062158, 1.849483, -2.529301]
std: [2.209000, 1.920063, 1.559759, 0.620400, 1.786479, 2.299265]
pca: [[-0.208166, 0.756381, 0.595092, -0.171276, 0.032412, 0.005804, 0.000000, 0.000000, 0.000000, 0.000000], [0.316932, -0.490972, 0.769898, 0.100490, -0.071189, -0.224924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446811, -0.009642, 0.094851, 0.867667, 0.191187, 0.043270, 0.000000, 0.000000, 0.000000, 0.000000], [0.140303, -0.130170, 0.130573, -0.133895, 0.719048, 0.641377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.498686, -0.222076, -0.012365, -0.341060, 0.507030, -0.573097, 0.000000, 0.000000, 0.000000, 0.000000], [0.623064, 0.347101, -0.164080, 0.271056, 0.428042, -0.455740, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.998917, 32.004051, 32.835832, 33.477720, 44.417671], [29.170304, 31.816915, 32.775765, 41.185661, 77.279124], [23.522543, 24.943447, 30.542590, 36.641565, 145.804151], [10.216373, 10.827765, 11.058498, 11.322812, 13.773483], [29.524729, 31.616122, 37.124558, 37.532464, 166.453460], [36.745852, 43.588261, 45.985499, 47.114334, 227.637100]]
### 2
mean: [1.810488, 0.327497, -0.980732, 0.977781, 1.662547, 0.783154]
std: [1.995913, 0.838180, 0.855962, 1.322368, 2.505289, 1.011696]
pca: [[0.534285, -0.134863, -0.233825, 0.387007, 0.169098, 0.680668, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202260, 0.647508, -0.002794, 0.465558, -0.546253, 0.157099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199802, -0.590615, 0.490511, 0.582353, -0.156435, -0.083931, 0.000000, 0.000000, 0.000000, 0.000000], [0.339928, 0.103884, 0.726154, -0.418742, -0.274328, 0.309444, 0.000000, 0.000000, 0.000000, 0.000000], [0.672064, -0.094995, -0.182130, 0.089559, -0.442348, -0.549947, 0.000000, 0.000000, 0.000000, 0.000000], [0.257852, 0.440344, 0.379797, 0.333137, 0.614503, -0.326756, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.804743, 34.385774, 42.751383, 43.494457, 162.943946], [14.820059, 15.138786, 15.861952, 16.800265, 29.474690], [13.161455, 15.555670, 16.360372, 19.030271, 88.265908], [19.460475, 21.427344, 26.249737, 28.527150, 88.000301], [40.386302, 43.187490, 52.960421, 55.054094, 149.629207], [14.280384, 17.071921, 21.765657, 22.408052, 70.483894]]
### 4
mean: [-1.095012, 2.473675, 1.770779, 1.775619, 2.458539, -0.725726]
std: [0.415306, 3.014764, 2.752474, 2.093839, 3.214173, 0.230773]
pca: [[-0.058557, 0.656886, 0.476682, 0.099015, 0.180868, -0.543442, 0.000000, 0.000000, 0.000000, 0.000000], [0.537122, -0.247711, 0.599053, -0.501573, -0.198965, 0.010558, 0.000000, 0.000000, 0.000000, 0.000000], [0.490176, 0.311703, -0.556413, -0.444848, 0.374961, -0.120362, 0.000000, 0.000000, 0.000000, 0.000000], [0.372741, -0.321991, 0.184839, 0.511201, 0.677678, 0.051445, 0.000000, 0.000000, 0.000000, 0.000000], [0.572992, 0.221525, -0.165491, 0.528551, -0.561227, -0.029619, 0.000000, 0.000000, 0.000000, 0.000000], [0.023294, 0.507178, 0.206789, -0.006134, 0.113491, 0.828582, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.922853, 6.665887, 8.240064, 8.503387, 98.551110], [48.165566, 49.627115, 63.065618, 69.120110, 222.630735], [43.923251, 46.656198, 57.407766, 61.413952, 159.370125], [32.966829, 34.923181, 43.819144, 48.291598, 159.805737], [50.512124, 54.299845, 67.879337, 72.088497, 221.268506], [3.947241, 4.139142, 4.152236, 4.211370, 65.315299]]
### 6
mean: [-0.350868, -1.032042, -2.982389, 4.419145, -2.258247, -1.371444]
std: [0.154084, 1.464174, 3.022857, 6.184337, 2.120791, 1.532512]
pca: [[-0.019489, -0.555644, -0.418677, 0.206750, 0.675714, 0.127496, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194891, -0.162964, 0.680536, -0.373667, 0.303861, 0.490278, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402491, 0.640674, -0.418899, -0.339486, 0.326885, 0.173082, 0.000000, 0.000000, 0.000000, 0.000000], [0.823560, 0.352782, 0.000597, 0.088993, 0.215672, 0.377966, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282388, 0.343952, 0.345096, 0.785091, 0.255233, -0.036767, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204069, -0.107153, -0.258870, 0.279444, -0.482252, 0.754456, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.321215, 2.500018, 2.790666, 3.776561, 31.578093], [23.031294, 24.114183, 31.081306, 33.499257, 92.883767], [48.113392, 49.417947, 63.210185, 69.976657, 268.415012], [96.907550, 100.999523, 129.699759, 143.127390, 397.723039], [33.776007, 35.074789, 44.761917, 48.733056, 203.242243], [23.923522, 24.957929, 31.936315, 35.634085, 123.429943]]
### 8
mean: [2.991739, -0.766646, 0.886403, 3.050395, 0.489715, -0.928125]
std: [3.980956, 2.004873, 1.759937, 4.300233, 1.408645, 1.430091]
pca: [[0.590278, 0.570980, -0.188543, -0.402409, 0.097716, 0.344272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297228, 0.576262, 0.466873, 0.406716, 0.409539, 0.168722, 0.000000, 0.000000, 0.000000, 0.000000], [0.260952, -0.070327, -0.375560, 0.211818, 0.707914, -0.489801, 0.000000, 0.000000, 0.000000, 0.000000], [0.637620, -0.297606, 0.695677, 0.115146, 0.009894, -0.086885, 0.000000, 0.000000, 0.000000, 0.000000], [0.208853, -0.240397, -0.322041, 0.639088, -0.033452, 0.620747, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212021, -0.436575, 0.133263, -0.453971, 0.566013, 0.469286, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.959084, 64.868374, 84.397233, 92.185971, 269.256507], [31.430498, 32.421866, 42.000221, 46.910401, 68.998163], [27.678354, 28.598621, 37.137022, 40.944468, 79.776234], [67.619289, 69.546372, 90.220842, 100.224216, 274.535530], [22.041361, 22.810571, 29.572045, 32.896120, 44.074360], [22.627664, 23.377185, 30.452552, 32.987505, 83.531252]]
### 10
mean: [2.677787, 4.204182, 4.373906, 3.308084, 0.100567, 2.734921]
std: [3.878855, 6.140926, 6.712241, 5.025963, 0.638591, 4.281792]
pca: [[0.325698, -0.414365, -0.077767, 0.020499, 0.608077, 0.588215, 0.000000, 0.000000, 0.000000, 0.000000], [0.515632, 0.680274, -0.344748, 0.345706, -0.039790, 0.177214, 0.000000, 0.000000, 0.000000, 0.000000], [0.563715, 0.087866, 0.264648, -0.427084, 0.341060, -0.552941, 0.000000, 0.000000, 0.000000, 0.000000], [0.422061, -0.363641, 0.485717, 0.556062, -0.375930, -0.056400, 0.000000, 0.000000, 0.000000, 0.000000], [0.053417, 0.312608, 0.561657, -0.450680, -0.266847, 0.556458, 0.000000, 0.000000, 0.000000, 0.000000], [0.359558, -0.357562, -0.503670, -0.430522, -0.547545, 0.063476, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.349890, 63.151473, 82.574163, 89.977827, 241.000797], [96.225332, 98.170521, 126.871044, 144.888180, 378.376329], [105.130773, 108.256057, 140.542925, 157.178432, 393.651571], [79.186187, 81.630617, 106.412593, 116.931989, 297.727554], [9.604458, 9.890383, 10.222222, 12.387593, 15.433155], [67.548485, 69.517075, 90.838683, 99.498089, 246.142863]]
### 12
mean: [-7.699240]
std: [11.611625]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[182.840381, 184.291343, 238.600465, 275.515582, 692.931556]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.113648,
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],
[
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[
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0.77651
],
[
-0.033162,
0.154209,
-0.106856,
0.055198,
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],
[
0.49081,
0.145762,
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0.105875,
0.699555
],
[
-0.593529,
-0.254201,
0.131841,
-0.244202,
-0.828736
]
],
"network.0.bias": [
0.148763,
0.143514,
0.190532,
0.236882,
0.25455,
-0.057091
],
"network.2.weight": [
[
0.1987,
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0.409852,
0.06263,
0.592827,
0.443397
],
[
0.117125,
0.412593,
-0.363876,
-0.293191,
-0.04531,
0.107982
],
[
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-0.17297,
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0.024543,
-0.118332,
-0.274895
],
[
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],
[
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0.604409,
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],
[
0.463513,
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0.294963
]
],
"network.2.bias": [
0.387307,
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0.067342,
0.115068,
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-0.156727
],
"network.4.weight": [
[
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[
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[
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],
[
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0.238412,
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0.420307,
0.38652
],
[
0.636358,
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0.328269,
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0.223094
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[
-0.189234,
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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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-0.154967
],
"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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0.005401
]
],
"network.8.bias": [
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-0.462849,
0.122838
],
"network.10.weight": [
[
0.128515,
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-0.304083
],
[
0.556751,
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0.358692,
0.666718,
0.387911,
0.233285
],
[
0.595996,
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0.577307,
-0.343394
],
[
0.766611,
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],
[
0.171691,
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],
[
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]
],
"network.10.bias": [
0.234841,
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],
"network.12.weight": [
[
-0.272272,
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-0.393329,
-0.236407,
-0.31934
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],
"network.12.bias": [
0.47197
]
}
## Activation Signature
### 0
mean: [-0.122509, 0.858657, 1.620046, 0.062158, 1.849483, -2.529301]
std: [2.209000, 1.920063, 1.559759, 0.620400, 1.786479, 2.299265]
pca: [[-0.208166, 0.756381, 0.595092, -0.171276, 0.032412, 0.005804, 0.000000, 0.000000, 0.000000, 0.000000], [0.316932, -0.490972, 0.769898, 0.100490, -0.071189, -0.224924, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446811, -0.009642, 0.094851, 0.867667, 0.191187, 0.043270, 0.000000, 0.000000, 0.000000, 0.000000], [0.140303, -0.130170, 0.130573, -0.133895, 0.719048, 0.641377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.498686, -0.222076, -0.012365, -0.341060, 0.507030, -0.573097, 0.000000, 0.000000, 0.000000, 0.000000], [0.623064, 0.347101, -0.164080, 0.271056, 0.428042, -0.455740, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.998917, 32.004051, 32.835832, 33.477720, 44.417671], [29.170304, 31.816915, 32.775765, 41.185661, 77.279124], [23.522543, 24.943447, 30.542590, 36.641565, 145.804151], [10.216373, 10.827765, 11.058498, 11.322812, 13.773483], [29.524729, 31.616122, 37.124558, 37.532464, 166.453460], [36.745852, 43.588261, 45.985499, 47.114334, 227.637100]]
### 2
mean: [1.810488, 0.327497, -0.980732, 0.977781, 1.662547, 0.783154]
std: [1.995913, 0.838180, 0.855962, 1.322368, 2.505289, 1.011696]
pca: [[0.534285, -0.134863, -0.233825, 0.387007, 0.169098, 0.680668, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202260, 0.647508, -0.002794, 0.465558, -0.546253, 0.157099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199802, -0.590615, 0.490511, 0.582353, -0.156435, -0.083931, 0.000000, 0.000000, 0.000000, 0.000000], [0.339928, 0.103884, 0.726154, -0.418742, -0.274328, 0.309444, 0.000000, 0.000000, 0.000000, 0.000000], [0.672064, -0.094995, -0.182130, 0.089559, -0.442348, -0.549947, 0.000000, 0.000000, 0.000000, 0.000000], [0.257852, 0.440344, 0.379797, 0.333137, 0.614503, -0.326756, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.804743, 34.385774, 42.751383, 43.494457, 162.943946], [14.820059, 15.138786, 15.861952, 16.800265, 29.474690], [13.161455, 15.555670, 16.360372, 19.030271, 88.265908], [19.460475, 21.427344, 26.249737, 28.527150, 88.000301], [40.386302, 43.187490, 52.960421, 55.054094, 149.629207], [14.280384, 17.071921, 21.765657, 22.408052, 70.483894]]
### 4
mean: [-1.095012, 2.473675, 1.770779, 1.775619, 2.458539, -0.725726]
std: [0.415306, 3.014764, 2.752474, 2.093839, 3.214173, 0.230773]
pca: [[-0.058557, 0.656886, 0.476682, 0.099015, 0.180868, -0.543442, 0.000000, 0.000000, 0.000000, 0.000000], [0.537122, -0.247711, 0.599053, -0.501573, -0.198965, 0.010558, 0.000000, 0.000000, 0.000000, 0.000000], [0.490176, 0.311703, -0.556413, -0.444848, 0.374961, -0.120362, 0.000000, 0.000000, 0.000000, 0.000000], [0.372741, -0.321991, 0.184839, 0.511201, 0.677678, 0.051445, 0.000000, 0.000000, 0.000000, 0.000000], [0.572992, 0.221525, -0.165491, 0.528551, -0.561227, -0.029619, 0.000000, 0.000000, 0.000000, 0.000000], [0.023294, 0.507178, 0.206789, -0.006134, 0.113491, 0.828582, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.922853, 6.665887, 8.240064, 8.503387, 98.551110], [48.165566, 49.627115, 63.065618, 69.120110, 222.630735], [43.923251, 46.656198, 57.407766, 61.413952, 159.370125], [32.966829, 34.923181, 43.819144, 48.291598, 159.805737], [50.512124, 54.299845, 67.879337, 72.088497, 221.268506], [3.947241, 4.139142, 4.152236, 4.211370, 65.315299]]
### 6
mean: [-0.350868, -1.032042, -2.982389, 4.419145, -2.258247, -1.371444]
std: [0.154084, 1.464174, 3.022857, 6.184337, 2.120791, 1.532512]
pca: [[-0.019489, -0.555644, -0.418677, 0.206750, 0.675714, 0.127496, 0.000000, 0.000000, 0.000000, 0.000000], [-0.194891, -0.162964, 0.680536, -0.373667, 0.303861, 0.490278, 0.000000, 0.000000, 0.000000, 0.000000], [-0.402491, 0.640674, -0.418899, -0.339486, 0.326885, 0.173082, 0.000000, 0.000000, 0.000000, 0.000000], [0.823560, 0.352782, 0.000597, 0.088993, 0.215672, 0.377966, 0.000000, 0.000000, 0.000000, 0.000000], [-0.282388, 0.343952, 0.345096, 0.785091, 0.255233, -0.036767, 0.000000, 0.000000, 0.000000, 0.000000], [-0.204069, -0.107153, -0.258870, 0.279444, -0.482252, 0.754456, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.321215, 2.500018, 2.790666, 3.776561, 31.578093], [23.031294, 24.114183, 31.081306, 33.499257, 92.883767], [48.113392, 49.417947, 63.210185, 69.976657, 268.415012], [96.907550, 100.999523, 129.699759, 143.127390, 397.723039], [33.776007, 35.074789, 44.761917, 48.733056, 203.242243], [23.923522, 24.957929, 31.936315, 35.634085, 123.429943]]
### 8
mean: [2.991739, -0.766646, 0.886403, 3.050395, 0.489715, -0.928125]
std: [3.980956, 2.004873, 1.759937, 4.300233, 1.408645, 1.430091]
pca: [[0.590278, 0.570980, -0.188543, -0.402409, 0.097716, 0.344272, 0.000000, 0.000000, 0.000000, 0.000000], [-0.297228, 0.576262, 0.466873, 0.406716, 0.409539, 0.168722, 0.000000, 0.000000, 0.000000, 0.000000], [0.260952, -0.070327, -0.375560, 0.211818, 0.707914, -0.489801, 0.000000, 0.000000, 0.000000, 0.000000], [0.637620, -0.297606, 0.695677, 0.115146, 0.009894, -0.086885, 0.000000, 0.000000, 0.000000, 0.000000], [0.208853, -0.240397, -0.322041, 0.639088, -0.033452, 0.620747, 0.000000, 0.000000, 0.000000, 0.000000], [-0.212021, -0.436575, 0.133263, -0.453971, 0.566013, 0.469286, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.959084, 64.868374, 84.397233, 92.185971, 269.256507], [31.430498, 32.421866, 42.000221, 46.910401, 68.998163], [27.678354, 28.598621, 37.137022, 40.944468, 79.776234], [67.619289, 69.546372, 90.220842, 100.224216, 274.535530], [22.041361, 22.810571, 29.572045, 32.896120, 44.074360], [22.627664, 23.377185, 30.452552, 32.987505, 83.531252]]
### 10
mean: [2.677787, 4.204182, 4.373906, 3.308084, 0.100567, 2.734921]
std: [3.878855, 6.140926, 6.712241, 5.025963, 0.638591, 4.281792]
pca: [[0.325698, -0.414365, -0.077767, 0.020499, 0.608077, 0.588215, 0.000000, 0.000000, 0.000000, 0.000000], [0.515632, 0.680274, -0.344748, 0.345706, -0.039790, 0.177214, 0.000000, 0.000000, 0.000000, 0.000000], [0.563715, 0.087866, 0.264648, -0.427084, 0.341060, -0.552941, 0.000000, 0.000000, 0.000000, 0.000000], [0.422061, -0.363641, 0.485717, 0.556062, -0.375930, -0.056400, 0.000000, 0.000000, 0.000000, 0.000000], [0.053417, 0.312608, 0.561657, -0.450680, -0.266847, 0.556458, 0.000000, 0.000000, 0.000000, 0.000000], [0.359558, -0.357562, -0.503670, -0.430522, -0.547545, 0.063476, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[61.349890, 63.151473, 82.574163, 89.977827, 241.000797], [96.225332, 98.170521, 126.871044, 144.888180, 378.376329], [105.130773, 108.256057, 140.542925, 157.178432, 393.651571], [79.186187, 81.630617, 106.412593, 116.931989, 297.727554], [9.604458, 9.890383, 10.222222, 12.387593, 15.433155], [67.548485, 69.517075, 90.838683, 99.498089, 246.142863]]
### 12
mean: [-7.699240]
std: [11.611625]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[182.840381, 184.291343, 238.600465, 275.515582, 692.931556]]
## 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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"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"}}
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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": [[-0.635697, -0.563035, 0.172224, 0.113648, 0.764047], [-0.138321, 0.605862, -0.10368, 0.373766, -0.650015], [0.107093, 0.192338, 0.056223, -0.060332, 0.77651], [-0.033162, 0.154209, -0.106856, 0.055198, -0.251042], [0.49081, 0.145762, -0.177745, 0.105875, 0.699555], [-0.593529, -0.254201, 0.131841, -0.244202, -0.828736]], "network.0.bias": [0.148763, 0.143514, 0.190532, 0.236882, 0.25455, -0.057091], "network.2.weight": [[0.1987, -0.34391, 0.409852, 0.06263, 0.592827, 0.443397], [0.117125, 0.412593, -0.363876, -0.293191, -0.04531, 0.107982], [-0.001922, -0.17297, -0.423157, 0.024543, -0.118332, -0.274895], [0.487765, -0.173265, 0.398783, 0.059331, 0.078362, 0.552225], [0.283088, -0.330689, 0.604409, -0.320435, 0.642918, 0.503384], [0.463513, -0.06325, 0.1393, 0.46301, 0.241647, 0.294963]], "network.2.bias": [0.387307, 0.469578, 0.067342, 0.115068, -0.157261, -0.156727], "network.4.weight": [[-0.172651, -0.323101, 0.316184, -0.122294, 0.206031, -0.472561], [0.496073, 0.05266, 0.158208, 0.408613, 0.653052, -0.046863], [0.621865, -0.554436, 0.275271, 0.439861, 0.254257, 0.125784], [0.29185, -0.023135, 0.238412, 0.088692, 0.420307, 0.38652], [0.636358, -0.526842, -0.438264, 0.328269, 0.46697, 0.223094], [-0.189234, -0.370862, 0.106039, -0.06798, 0.292003, -0.259735]], "network.4.bias": [-0.537125, 0.09484, -0.022389, 0.194396, 0.221124, -0.493359], "network.6.weight": [[-0.479386, 0.183614, -0.36802, 0.038793, 0.060602, 0.276999], [0.348799, -0.042018, 0.01182, 0.056672, -0.47357, 0.258477], [0.003991, -0.749616, -0.134162, -0.272659, 0.058693, 0.064736], [0.104958, 0.435861, 0.611134, 0.410147, 0.752682, -0.090183], [0.406828, -0.295625, 0.125909, -0.261731, -0.319363, 0.473357], [0.202132, -0.073039, -0.260167, -0.219848, -0.053052, 0.037822]], "network.6.bias": [-0.340025, 0.223671, -0.573188, -0.383598, -0.399841, -0.154967], "network.8.weight": [[0.160351, -0.446174, 0.509235, 0.641809, 0.514985, -0.170823], [-0.502685, -0.245083, -0.671941, -0.317011, -0.374155, -0.590217], [-0.088644, -0.066438, 0.447525, 0.278148, 0.288893, 0.342724], [0.166912, -0.281771, -0.059022, 0.705537, -0.012666, -0.076942], [-0.283807, -0.026944, 0.355265, 0.221325, 0.179622, 0.460722], [0.316269, 0.390032, 0.033511, -0.228847, -0.307945, 0.005401]], "network.8.bias": [0.183789, 0.466934, -0.291018, -0.133695, -0.462849, 0.122838], "network.10.weight": [[0.128515, -0.653332, 0.238454, 0.589726, 0.249541, -0.304083], [0.556751, -0.109806, 0.358692, 0.666718, 0.387911, 0.233285], [0.595996, -0.601335, 0.5994, 0.586364, 0.577307, -0.343394], [0.766611, -0.562372, 0.462237, 0.204771, 0.178109, -0.130598], [0.171691, 0.043699, 0.375951, -0.212595, 0.196341, -0.173366], [0.445448, -0.220507, 0.162996, 0.536565, -0.083457, -0.379137]], "network.10.bias": [0.234841, -0.118648, -0.052469, -0.058499, -0.273284, -0.309252], "network.12.weight": [[-0.272272, -0.772216, -0.384384, -0.393329, -0.236407, -0.31934]], "network.12.bias": [0.47197]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6999771296977997, "train_acc": 0.475, "val_loss": 0.6863909959793091, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6803413033485413, "train_acc": 0.61, "val_loss": 0.6003733277320862, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6411152780056, "train_acc": 0.465, "val_loss": 0.5119309425354004, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5528570413589478, "train_acc": 0.735, "val_loss": 0.46182116866111755, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4900583028793335, "train_acc": 0.79, "val_loss": 0.35157665610313416, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.42940835654735565, "train_acc": 0.84, "val_loss": 0.2831372022628784, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3842678368091583, "train_acc": 0.865, "val_loss": 0.2310064285993576, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.32079190015792847, "train_acc": 0.88, "val_loss": 0.22225803136825562, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3185887932777405, "train_acc": 0.89, "val_loss": 0.21697144210338593, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.35306689143180847, "train_acc": 0.88, "val_loss": 0.21278953552246094, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3031984269618988, "train_acc": 0.89, "val_loss": 0.21214550733566284, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3202395737171173, "train_acc": 0.865, "val_loss": 0.21248748898506165, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6863909959793091, "final_val_loss": 0.6003733277320862, "initial_val_acc": 0.6, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5119309425354004, "final_val_loss": 0.21248748898506165, "initial_val_acc": 0.74, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
9,948
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9125, "learning_rate": 0.06256533951182637, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
mean: [-2.817189, -0.834787, -0.011669, -0.369813, -1.100717, -3.093162, -0.495687, 0.502103]
std: [2.445936, 1.779058, 2.690267, 1.862255, 1.349761, 2.551799, 1.866257, 2.339125]
pca: [[-0.092611, 0.595024, 0.451028, 0.050381, 0.583098, 0.146150, -0.157414, -0.212748, 0.000000, 0.000000], [0.108239, -0.148978, 0.659112, -0.011786, -0.545082, 0.081412, -0.441885, -0.180325, 0.000000, 0.000000], [0.590345, 0.204671, -0.291693, -0.551229, -0.053290, 0.111013, -0.076238, -0.446865, 0.000000, 0.000000], [0.261299, 0.211950, -0.232147, 0.777259, -0.164593, -0.216193, -0.052027, -0.390180, 0.000000, 0.000000], [-0.251815, 0.154720, 0.260489, -0.197191, -0.237072, -0.433583, 0.646934, -0.378406, 0.000000, 0.000000], [0.000336, 0.710079, -0.092821, -0.060161, -0.462932, 0.000387, -0.016685, 0.518621, 0.000000, 0.000000], [-0.446569, 0.059252, -0.206391, 0.073590, -0.247899, 0.749573, 0.138010, -0.326638, 0.000000, 0.000000], [-0.547804, 0.072646, -0.322644, -0.203517, -0.031437, -0.403851, -0.577573, -0.226805, 0.000000, 0.000000]]
fourier: [[37.819122, 39.902188, 45.139507, 54.696539, 253.547068], [29.446143, 30.119106, 30.565916, 31.615036, 75.130833], [36.827871, 36.877087, 42.370737, 48.891168, 63.534352], [27.043394, 29.138993, 29.314793, 33.283165, 36.969090], [20.771819, 21.015119, 21.993283, 22.152436, 99.064536], [40.041562, 43.587575, 45.712996, 47.544036, 278.384528], [28.554798, 31.085667, 31.541204, 31.857625, 44.611797], [34.373834, 34.717631, 42.459281, 43.483427, 45.189250]]
### 2
mean: [0.652029, 0.294520, -0.488426, 0.226520, -0.882069, -0.339211, 0.844409, 0.540218]
std: [2.623274, 1.885460, 0.793157, 1.548532, 1.276508, 0.624771, 0.674575, 0.741609]
pca: [[0.697923, 0.034313, 0.061262, -0.465913, -0.173502, 0.003575, -0.091633, -0.502380, 0.000000, 0.000000], [0.482659, 0.351428, 0.243907, 0.604832, 0.288135, -0.042876, -0.342751, 0.126044, 0.000000, 0.000000], [0.195122, -0.053952, -0.302137, 0.454293, -0.010845, 0.409116, 0.635481, -0.300030, 0.000000, 0.000000], [0.409373, 0.107839, -0.142683, -0.261077, 0.061060, -0.193301, 0.455961, 0.695177, 0.000000, 0.000000], [-0.228206, 0.728880, -0.292111, -0.195557, 0.399484, -0.190524, 0.128161, -0.284205, 0.000000, 0.000000], [0.097359, -0.177836, -0.524452, -0.189871, 0.410636, 0.529549, -0.411216, 0.172198, 0.000000, 0.000000], [0.034977, -0.486583, 0.257242, -0.057322, 0.731169, -0.276373, 0.210518, -0.192993, 0.000000, 0.000000], [-0.107261, 0.247238, 0.631315, -0.254911, 0.142167, 0.632696, 0.180407, 0.103766, 0.000000, 0.000000]]
fourier: [[36.007275, 43.860414, 44.273733, 56.008840, 58.682646], [26.506805, 26.769006, 27.401169, 34.730857, 38.712428], [12.699244, 13.849249, 14.686521, 15.075701, 43.958357], [20.386766, 21.639037, 24.906382, 26.023203, 32.734587], [18.522467, 21.161555, 24.384673, 25.771264, 79.386246], [9.172790, 10.095837, 10.158268, 10.958266, 30.528953], [10.248578, 10.319465, 11.061830, 12.764083, 75.996776], [10.586957, 10.811155, 12.100894, 13.535417, 48.619628]]
### 4
mean: [-1.022311, 0.252592, -2.198738, 0.917739, 0.566437, 2.126361, -1.857015, -1.119901]
std: [1.510325, 0.124199, 1.473774, 2.539264, 2.290397, 3.486296, 3.060150, 0.608879]
pca: [[-0.243444, -0.256418, 0.346617, 0.012007, -0.058675, 0.716858, 0.432221, -0.224842, 0.000000, 0.000000], [0.001674, 0.047067, -0.082825, 0.420336, 0.350408, -0.105533, 0.600402, 0.565538, 0.000000, 0.000000], [-0.230617, 0.368060, 0.481009, -0.074139, 0.576276, 0.180463, -0.408942, 0.206367, 0.000000, 0.000000], [0.413803, 0.340359, -0.383036, -0.344283, 0.458869, 0.227239, 0.257592, -0.345142, 0.000000, 0.000000], [0.371012, 0.246249, 0.634893, -0.337902, -0.252322, -0.306264, 0.353274, 0.046671, 0.000000, 0.000000], [0.575853, 0.092927, -0.043546, 0.137784, -0.292848, 0.527558, -0.270612, 0.448965, 0.000000, 0.000000], [-0.495607, 0.572045, -0.281628, -0.297540, -0.396179, 0.136065, 0.145189, 0.250484, 0.000000, 0.000000], [0.037840, 0.533116, 0.103009, 0.690980, -0.157268, -0.012049, 0.000959, -0.448789, 0.000000, 0.000000]]
fourier: [[22.474678, 27.113186, 28.360830, 32.779542, 92.007958], [1.831001, 2.204137, 2.226461, 2.424160, 22.733270], [22.547004, 24.462528, 28.772570, 30.650767, 197.886472], [36.809569, 46.268174, 48.286481, 54.909828, 82.596502], [32.277294, 42.299490, 45.061563, 47.338530, 50.979361], [50.055181, 61.563237, 68.183845, 74.704032, 191.372479], [45.250636, 51.238672, 60.875367, 62.959194, 167.131390], [9.205759, 10.591919, 10.793098, 13.771609, 100.791066]]
### 6
mean: [1.583607, -0.645864, -1.147741, 1.856496, 0.823479, -3.131094, 1.737043, 1.475016]
std: [2.526058, 1.830532, 1.934772, 3.745703, 3.004204, 2.859845, 3.441005, 2.457627]
pca: [[0.320342, 0.205032, -0.135534, 0.121888, -0.339196, -0.294572, 0.639688, 0.459445, 0.000000, 0.000000], [-0.227291, 0.541858, -0.216166, 0.027998, 0.169163, 0.341559, -0.301500, 0.609128, 0.000000, 0.000000], [-0.241337, -0.504656, 0.242853, 0.375843, 0.514212, -0.018108, 0.232239, 0.410080, 0.000000, 0.000000], [0.475746, -0.035729, -0.236671, 0.066574, 0.283426, 0.701539, 0.320900, -0.190997, 0.000000, 0.000000], [0.379911, 0.236810, 0.629714, -0.495699, 0.359082, -0.097903, 0.008741, 0.136861, 0.000000, 0.000000], [-0.360147, 0.471920, 0.492546, 0.378648, -0.102503, 0.202484, 0.329244, -0.318907, 0.000000, 0.000000], [0.436559, -0.156034, 0.377128, 0.451050, -0.407646, 0.200400, -0.440462, 0.197626, 0.000000, 0.000000], [0.310676, 0.324444, -0.196331, 0.496116, 0.453832, -0.461882, -0.201248, -0.231818, 0.000000, 0.000000]]
fourier: [[36.195013, 44.399918, 47.548224, 54.796197, 142.524583], [28.173189, 28.484926, 33.649457, 39.639908, 58.127793], [29.281493, 32.854851, 38.470347, 41.059212, 103.296701], [54.238966, 67.729770, 67.879871, 81.777158, 167.084660], [41.590625, 54.911911, 55.161667, 63.671966, 74.113087], [42.169679, 48.848601, 51.959801, 62.865965, 281.798443], [49.101089, 60.717496, 62.640724, 74.681930, 156.333892], [34.754536, 43.002512, 46.955734, 53.310263, 132.751429]]
### 8
mean: [-5.013372, 0.091004, 0.573695, -5.321146, -2.211460, 3.457676, -4.892438, 0.122606]
std: [8.521180, 0.525281, 1.066460, 8.959698, 3.109311, 6.899010, 8.890672, 0.600111]
pca: [[0.499857, 0.286225, -0.236855, -0.434843, -0.103399, -0.444073, 0.462778, 0.031197, 0.000000, 0.000000], [0.024732, -0.456651, -0.087308, 0.195651, -0.467868, 0.305905, 0.560718, 0.343619, 0.000000, 0.000000], [-0.060347, 0.399396, 0.216172, 0.728869, 0.178710, -0.274501, 0.388223, 0.029236, 0.000000, 0.000000], [0.525601, 0.264364, -0.370179, 0.263959, 0.063243, 0.601537, -0.062549, -0.278190, 0.000000, 0.000000], [0.182411, 0.086527, 0.024935, -0.078673, 0.490277, 0.170888, -0.093530, 0.821039, 0.000000, 0.000000], [-0.404151, 0.562989, -0.384250, 0.000735, -0.488817, 0.039797, -0.199107, 0.303127, 0.000000, 0.000000], [0.521655, -0.044336, 0.362174, 0.234755, -0.480828, -0.230850, -0.471284, 0.181755, 0.000000, 0.000000], [-0.029963, 0.392085, 0.687804, -0.332275, -0.154797, 0.433527, 0.215178, -0.060676, 0.000000, 0.000000]]
fourier: [[120.276268, 151.821175, 153.511072, 184.627508, 451.203527], [8.149340, 8.190318, 8.885781, 9.108254, 10.965132], [16.483651, 16.782350, 20.363566, 23.384519, 51.632579], [126.413005, 159.307643, 161.339274, 194.385356, 478.903166], [43.868359, 55.549742, 55.585497, 67.269341, 199.031410], [98.983945, 118.261916, 125.356890, 150.359514, 311.190853], [125.531553, 156.991576, 159.324270, 192.950433, 440.319438], [9.578679, 9.658160, 9.727451, 11.034532, 12.894534]]
### 10
mean: [-0.246915, -2.441199, 0.939976, -1.530259, 3.688840, -0.969159, -1.678619, 1.202976]
std: [1.014348, 4.695447, 1.483634, 2.430912, 5.617000, 2.182449, 3.894730, 1.787243]
pca: [[-0.039972, -0.427994, 0.433809, -0.174657, 0.187392, 0.723263, 0.185537, 0.062285, 0.000000, 0.000000], [-0.512187, 0.406437, 0.487523, -0.024024, 0.406185, -0.084447, -0.399465, -0.050278, 0.000000, 0.000000], [0.148608, 0.289725, 0.018231, 0.611785, -0.327819, 0.503873, -0.320573, -0.235035, 0.000000, 0.000000], [-0.256417, -0.345350, -0.281023, 0.542716, 0.523828, -0.074209, 0.194394, -0.351819, 0.000000, 0.000000], [0.622774, 0.177162, 0.394321, -0.064794, 0.235765, -0.182391, 0.212606, -0.535748, 0.000000, 0.000000], [-0.224204, -0.375425, 0.543700, 0.292376, -0.512697, -0.381999, 0.119468, -0.068119, 0.000000, 0.000000], [-0.418736, 0.446141, -0.077297, -0.125586, -0.230837, 0.168968, 0.668194, -0.274869, 0.000000, 0.000000], [0.186490, 0.277580, 0.194295, 0.441182, 0.215192, -0.051234, 0.399363, 0.668846, 0.000000, 0.000000]]
fourier: [[15.813938, 15.926849, 16.696124, 17.319603, 22.222315], [66.068779, 83.664020, 85.555204, 100.170702, 219.707885], [21.909595, 23.322652, 25.993465, 31.385096, 84.597828], [36.802345, 41.756866, 42.321349, 52.120678, 137.723250], [86.598040, 87.575882, 101.920905, 122.164203, 331.995629], [32.672319, 36.712318, 38.044366, 46.762521, 87.224295], [57.196979, 68.608526, 72.325038, 81.943445, 151.075682], [26.495489, 29.885248, 30.912509, 38.285937, 108.267838]]
### 12
mean: [-2.626250]
std: [4.205951]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.857621, 72.682571, 72.851084, 90.378499, 236.362541]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.465029,
-0.298912
]
],
"network.12.bias": [
0.005648
]
}
## Activation Signature
### 0
mean: [-2.817189, -0.834787, -0.011669, -0.369813, -1.100717, -3.093162, -0.495687, 0.502103]
std: [2.445936, 1.779058, 2.690267, 1.862255, 1.349761, 2.551799, 1.866257, 2.339125]
pca: [[-0.092611, 0.595024, 0.451028, 0.050381, 0.583098, 0.146150, -0.157414, -0.212748, 0.000000, 0.000000], [0.108239, -0.148978, 0.659112, -0.011786, -0.545082, 0.081412, -0.441885, -0.180325, 0.000000, 0.000000], [0.590345, 0.204671, -0.291693, -0.551229, -0.053290, 0.111013, -0.076238, -0.446865, 0.000000, 0.000000], [0.261299, 0.211950, -0.232147, 0.777259, -0.164593, -0.216193, -0.052027, -0.390180, 0.000000, 0.000000], [-0.251815, 0.154720, 0.260489, -0.197191, -0.237072, -0.433583, 0.646934, -0.378406, 0.000000, 0.000000], [0.000336, 0.710079, -0.092821, -0.060161, -0.462932, 0.000387, -0.016685, 0.518621, 0.000000, 0.000000], [-0.446569, 0.059252, -0.206391, 0.073590, -0.247899, 0.749573, 0.138010, -0.326638, 0.000000, 0.000000], [-0.547804, 0.072646, -0.322644, -0.203517, -0.031437, -0.403851, -0.577573, -0.226805, 0.000000, 0.000000]]
fourier: [[37.819122, 39.902188, 45.139507, 54.696539, 253.547068], [29.446143, 30.119106, 30.565916, 31.615036, 75.130833], [36.827871, 36.877087, 42.370737, 48.891168, 63.534352], [27.043394, 29.138993, 29.314793, 33.283165, 36.969090], [20.771819, 21.015119, 21.993283, 22.152436, 99.064536], [40.041562, 43.587575, 45.712996, 47.544036, 278.384528], [28.554798, 31.085667, 31.541204, 31.857625, 44.611797], [34.373834, 34.717631, 42.459281, 43.483427, 45.189250]]
### 2
mean: [0.652029, 0.294520, -0.488426, 0.226520, -0.882069, -0.339211, 0.844409, 0.540218]
std: [2.623274, 1.885460, 0.793157, 1.548532, 1.276508, 0.624771, 0.674575, 0.741609]
pca: [[0.697923, 0.034313, 0.061262, -0.465913, -0.173502, 0.003575, -0.091633, -0.502380, 0.000000, 0.000000], [0.482659, 0.351428, 0.243907, 0.604832, 0.288135, -0.042876, -0.342751, 0.126044, 0.000000, 0.000000], [0.195122, -0.053952, -0.302137, 0.454293, -0.010845, 0.409116, 0.635481, -0.300030, 0.000000, 0.000000], [0.409373, 0.107839, -0.142683, -0.261077, 0.061060, -0.193301, 0.455961, 0.695177, 0.000000, 0.000000], [-0.228206, 0.728880, -0.292111, -0.195557, 0.399484, -0.190524, 0.128161, -0.284205, 0.000000, 0.000000], [0.097359, -0.177836, -0.524452, -0.189871, 0.410636, 0.529549, -0.411216, 0.172198, 0.000000, 0.000000], [0.034977, -0.486583, 0.257242, -0.057322, 0.731169, -0.276373, 0.210518, -0.192993, 0.000000, 0.000000], [-0.107261, 0.247238, 0.631315, -0.254911, 0.142167, 0.632696, 0.180407, 0.103766, 0.000000, 0.000000]]
fourier: [[36.007275, 43.860414, 44.273733, 56.008840, 58.682646], [26.506805, 26.769006, 27.401169, 34.730857, 38.712428], [12.699244, 13.849249, 14.686521, 15.075701, 43.958357], [20.386766, 21.639037, 24.906382, 26.023203, 32.734587], [18.522467, 21.161555, 24.384673, 25.771264, 79.386246], [9.172790, 10.095837, 10.158268, 10.958266, 30.528953], [10.248578, 10.319465, 11.061830, 12.764083, 75.996776], [10.586957, 10.811155, 12.100894, 13.535417, 48.619628]]
### 4
mean: [-1.022311, 0.252592, -2.198738, 0.917739, 0.566437, 2.126361, -1.857015, -1.119901]
std: [1.510325, 0.124199, 1.473774, 2.539264, 2.290397, 3.486296, 3.060150, 0.608879]
pca: [[-0.243444, -0.256418, 0.346617, 0.012007, -0.058675, 0.716858, 0.432221, -0.224842, 0.000000, 0.000000], [0.001674, 0.047067, -0.082825, 0.420336, 0.350408, -0.105533, 0.600402, 0.565538, 0.000000, 0.000000], [-0.230617, 0.368060, 0.481009, -0.074139, 0.576276, 0.180463, -0.408942, 0.206367, 0.000000, 0.000000], [0.413803, 0.340359, -0.383036, -0.344283, 0.458869, 0.227239, 0.257592, -0.345142, 0.000000, 0.000000], [0.371012, 0.246249, 0.634893, -0.337902, -0.252322, -0.306264, 0.353274, 0.046671, 0.000000, 0.000000], [0.575853, 0.092927, -0.043546, 0.137784, -0.292848, 0.527558, -0.270612, 0.448965, 0.000000, 0.000000], [-0.495607, 0.572045, -0.281628, -0.297540, -0.396179, 0.136065, 0.145189, 0.250484, 0.000000, 0.000000], [0.037840, 0.533116, 0.103009, 0.690980, -0.157268, -0.012049, 0.000959, -0.448789, 0.000000, 0.000000]]
fourier: [[22.474678, 27.113186, 28.360830, 32.779542, 92.007958], [1.831001, 2.204137, 2.226461, 2.424160, 22.733270], [22.547004, 24.462528, 28.772570, 30.650767, 197.886472], [36.809569, 46.268174, 48.286481, 54.909828, 82.596502], [32.277294, 42.299490, 45.061563, 47.338530, 50.979361], [50.055181, 61.563237, 68.183845, 74.704032, 191.372479], [45.250636, 51.238672, 60.875367, 62.959194, 167.131390], [9.205759, 10.591919, 10.793098, 13.771609, 100.791066]]
### 6
mean: [1.583607, -0.645864, -1.147741, 1.856496, 0.823479, -3.131094, 1.737043, 1.475016]
std: [2.526058, 1.830532, 1.934772, 3.745703, 3.004204, 2.859845, 3.441005, 2.457627]
pca: [[0.320342, 0.205032, -0.135534, 0.121888, -0.339196, -0.294572, 0.639688, 0.459445, 0.000000, 0.000000], [-0.227291, 0.541858, -0.216166, 0.027998, 0.169163, 0.341559, -0.301500, 0.609128, 0.000000, 0.000000], [-0.241337, -0.504656, 0.242853, 0.375843, 0.514212, -0.018108, 0.232239, 0.410080, 0.000000, 0.000000], [0.475746, -0.035729, -0.236671, 0.066574, 0.283426, 0.701539, 0.320900, -0.190997, 0.000000, 0.000000], [0.379911, 0.236810, 0.629714, -0.495699, 0.359082, -0.097903, 0.008741, 0.136861, 0.000000, 0.000000], [-0.360147, 0.471920, 0.492546, 0.378648, -0.102503, 0.202484, 0.329244, -0.318907, 0.000000, 0.000000], [0.436559, -0.156034, 0.377128, 0.451050, -0.407646, 0.200400, -0.440462, 0.197626, 0.000000, 0.000000], [0.310676, 0.324444, -0.196331, 0.496116, 0.453832, -0.461882, -0.201248, -0.231818, 0.000000, 0.000000]]
fourier: [[36.195013, 44.399918, 47.548224, 54.796197, 142.524583], [28.173189, 28.484926, 33.649457, 39.639908, 58.127793], [29.281493, 32.854851, 38.470347, 41.059212, 103.296701], [54.238966, 67.729770, 67.879871, 81.777158, 167.084660], [41.590625, 54.911911, 55.161667, 63.671966, 74.113087], [42.169679, 48.848601, 51.959801, 62.865965, 281.798443], [49.101089, 60.717496, 62.640724, 74.681930, 156.333892], [34.754536, 43.002512, 46.955734, 53.310263, 132.751429]]
### 8
mean: [-5.013372, 0.091004, 0.573695, -5.321146, -2.211460, 3.457676, -4.892438, 0.122606]
std: [8.521180, 0.525281, 1.066460, 8.959698, 3.109311, 6.899010, 8.890672, 0.600111]
pca: [[0.499857, 0.286225, -0.236855, -0.434843, -0.103399, -0.444073, 0.462778, 0.031197, 0.000000, 0.000000], [0.024732, -0.456651, -0.087308, 0.195651, -0.467868, 0.305905, 0.560718, 0.343619, 0.000000, 0.000000], [-0.060347, 0.399396, 0.216172, 0.728869, 0.178710, -0.274501, 0.388223, 0.029236, 0.000000, 0.000000], [0.525601, 0.264364, -0.370179, 0.263959, 0.063243, 0.601537, -0.062549, -0.278190, 0.000000, 0.000000], [0.182411, 0.086527, 0.024935, -0.078673, 0.490277, 0.170888, -0.093530, 0.821039, 0.000000, 0.000000], [-0.404151, 0.562989, -0.384250, 0.000735, -0.488817, 0.039797, -0.199107, 0.303127, 0.000000, 0.000000], [0.521655, -0.044336, 0.362174, 0.234755, -0.480828, -0.230850, -0.471284, 0.181755, 0.000000, 0.000000], [-0.029963, 0.392085, 0.687804, -0.332275, -0.154797, 0.433527, 0.215178, -0.060676, 0.000000, 0.000000]]
fourier: [[120.276268, 151.821175, 153.511072, 184.627508, 451.203527], [8.149340, 8.190318, 8.885781, 9.108254, 10.965132], [16.483651, 16.782350, 20.363566, 23.384519, 51.632579], [126.413005, 159.307643, 161.339274, 194.385356, 478.903166], [43.868359, 55.549742, 55.585497, 67.269341, 199.031410], [98.983945, 118.261916, 125.356890, 150.359514, 311.190853], [125.531553, 156.991576, 159.324270, 192.950433, 440.319438], [9.578679, 9.658160, 9.727451, 11.034532, 12.894534]]
### 10
mean: [-0.246915, -2.441199, 0.939976, -1.530259, 3.688840, -0.969159, -1.678619, 1.202976]
std: [1.014348, 4.695447, 1.483634, 2.430912, 5.617000, 2.182449, 3.894730, 1.787243]
pca: [[-0.039972, -0.427994, 0.433809, -0.174657, 0.187392, 0.723263, 0.185537, 0.062285, 0.000000, 0.000000], [-0.512187, 0.406437, 0.487523, -0.024024, 0.406185, -0.084447, -0.399465, -0.050278, 0.000000, 0.000000], [0.148608, 0.289725, 0.018231, 0.611785, -0.327819, 0.503873, -0.320573, -0.235035, 0.000000, 0.000000], [-0.256417, -0.345350, -0.281023, 0.542716, 0.523828, -0.074209, 0.194394, -0.351819, 0.000000, 0.000000], [0.622774, 0.177162, 0.394321, -0.064794, 0.235765, -0.182391, 0.212606, -0.535748, 0.000000, 0.000000], [-0.224204, -0.375425, 0.543700, 0.292376, -0.512697, -0.381999, 0.119468, -0.068119, 0.000000, 0.000000], [-0.418736, 0.446141, -0.077297, -0.125586, -0.230837, 0.168968, 0.668194, -0.274869, 0.000000, 0.000000], [0.186490, 0.277580, 0.194295, 0.441182, 0.215192, -0.051234, 0.399363, 0.668846, 0.000000, 0.000000]]
fourier: [[15.813938, 15.926849, 16.696124, 17.319603, 22.222315], [66.068779, 83.664020, 85.555204, 100.170702, 219.707885], [21.909595, 23.322652, 25.993465, 31.385096, 84.597828], [36.802345, 41.756866, 42.321349, 52.120678, 137.723250], [86.598040, 87.575882, 101.920905, 122.164203, 331.995629], [32.672319, 36.712318, 38.044366, 46.762521, 87.224295], [57.196979, 68.608526, 72.325038, 81.943445, 151.075682], [26.495489, 29.885248, 30.912509, 38.285937, 108.267838]]
### 12
mean: [-2.626250]
std: [4.205951]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.857621, 72.682571, 72.851084, 90.378499, 236.362541]]
## 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.037521, -0.638882, -0.016864, -0.070733, -1.141078], [0.242203, 0.194974, -0.966041, 0.111247, 0.059915], [-1.318225, 0.558279, 0.248056, 0.338351, -0.037845], [-0.464055, -0.74183, 0.226349, 0.415284, 0.16421], [0.266798, -0.016169, -0.182225, -0.462056, -0.330557], [-0.733549, -0.442355, 0.358909, -0.469499, -0.618224], [0.419874, -0.22439, 0.330173, -0.627681, 0.029583], [0.440633, -0.040863, 0.554974, -0.801869, -0.089968]], "network.0.bias": [-0.105458, 0.214012, -0.585581, -0.00644, 0.375917, -0.35466, 0.01054, 0.699466], "network.2.weight": [[0.705017, -0.547003, -0.794794, -0.327297, -0.004607, -0.27525, 0.508456, 0.975045], [-0.237924, -1.131933, -0.565123, 0.05028, -0.547306, -0.886841, 0.391241, 0.659115], [0.443189, -0.35377, -0.181954, -0.467341, -0.038568, -0.450192, 0.198964, 0.176939], [0.608794, -0.331363, -0.572653, -0.244309, -0.11873, -0.427418, 0.216773, 0.551207], [0.204274, -0.257582, -0.367739, 0.470711, -0.444683, -0.38273, -0.413118, -0.515985], [0.282488, 0.309632, -0.169174, -0.544717, -0.011993, -0.393757, 0.208567, -0.020078], [-0.777442, 0.59209, 0.354802, -0.054858, -0.037939, -0.277501, 0.279586, 0.23698], [-0.216673, -0.19007, 0.07698, 0.727531, 0.02121, 0.425532, 0.163582, -0.20985]], "network.2.bias": [0.35389, 0.128037, -0.305499, 0.253247, 0.125549, -0.058755, -0.022237, 0.356462], "network.4.weight": [[-0.405789, -0.484636, -0.150523, -0.140603, -0.382288, -0.107305, 0.355509, 0.132656], [-0.033048, -0.22397, 0.271903, 0.338627, -0.390328, 0.240406, -0.137592, 0.206463], [-0.23201, -0.115879, -0.023609, -0.617201, -0.694036, 0.029368, -0.707564, -0.045667], [0.330628, 1.1202, -0.240367, 0.561559, -0.00578, 0.338264, -0.380126, -0.127703], [0.448849, 0.728298, -0.079654, 0.25249, -0.313329, -0.194748, -0.21369, -0.889607], [0.965088, 0.828053, 0.260093, 0.321013, -0.264148, 0.067507, 0.020986, -0.495173], [-0.720361, -0.589604, -0.937336, 0.040271, 0.605272, -1.081219, -1.012911, 0.466139], [0.433422, -0.423068, 0.491628, 0.13334, -0.59016, -0.608162, -0.955529, -0.064401]], "network.4.bias": [-0.346887, 0.266868, -0.852347, -0.376203, -0.146908, 0.256488, -0.00083, -0.716655], "network.6.weight": [[0.059072, -0.016599, 0.412969, 0.01623, 0.388258, 0.513766, -0.32728, 0.677141], [0.098582, -0.019658, 0.481185, -0.81356, -0.250781, 0.137169, -0.502584, 0.201244], [-0.26372, 0.668107, -0.091328, 0.314756, -0.112455, -0.702218, 0.567973, -0.035575], [-0.281235, -0.054416, 0.109876, 0.261939, 0.668152, 0.563784, -0.100585, -0.271169], [0.469947, -0.559236, 0.351666, 0.835009, 0.421179, 0.062171, -0.71909, -0.222401], [0.450548, 0.072218, 1.040418, -0.454341, -0.046605, -0.542489, -0.668143, 0.994303], [0.506303, -0.060885, -0.260348, 0.52209, 0.959998, 0.139777, -0.136775, -0.05402], [0.217533, 0.654796, 0.302091, -0.202933, 0.49066, 0.57743, -0.503631, 0.580736]], "network.6.bias": [0.167536, 0.456149, -0.03484, -0.44746, -0.587207, -0.98214, -0.212067, -0.017556], "network.8.weight": [[-1.268079, -0.989793, 0.47311, -0.605832, -0.046036, 0.043384, -0.532692, -0.550082], [0.365532, 0.687164, -0.606928, -0.056842, -0.040319, -0.713789, -0.214447, -0.10372], [0.424734, -1.210987, 0.273218, 0.131391, 0.188032, -0.696461, -0.023897, -0.41538], [-0.437148, -1.18348, 0.335064, -1.059227, 0.145615, -0.090459, -0.532774, -1.139736], [-0.229136, -0.419207, 0.22259, -0.51589, -0.083897, -0.158573, -0.038713, -0.141593], [0.332071, -0.509896, 0.436411, 0.516072, 0.655607, 0.190087, 0.452146, 0.374205], [-0.565302, -0.799616, 0.045553, -0.347012, -0.262341, -0.353402, -0.998037, -0.929675], [0.027056, -0.499024, 0.808041, 0.502953, -0.31644, 0.542086, -0.085943, -0.104211]], "network.8.bias": [0.235961, 0.133743, 0.156525, 0.211572, -0.360299, -0.334804, 0.396393, -0.182861], "network.10.weight": [[-1.404254, 0.095846, -0.33727, -0.896432, -0.528537, -0.003369, -0.34418, -0.289856], [1.041115, -0.249586, 0.153223, 0.301153, 0.096671, -0.671825, 0.65227, -0.332176], [0.926257, 0.268214, 0.299999, 0.699431, 0.240724, 0.151263, 0.456242, 0.426459], [-0.533193, 0.151835, -0.733697, -1.211614, -0.129108, -0.265053, -0.853708, 0.198457], [0.634318, -0.117819, 0.095271, 0.523293, -0.053728, 0.818423, 0.944384, 0.283807], [-0.770241, 0.380431, -0.582442, -0.805428, -0.51546, -0.187143, -0.752693, -0.582762], [0.965698, -0.186056, 0.607349, 0.767624, 0.207382, -0.626876, 0.423999, -0.130552], [0.809217, 0.034171, 0.029092, 0.658653, 0.132131, 0.242885, 0.652297, 0.362549]], "network.10.bias": [0.324854, -0.24126, -0.187718, 0.179344, 0.24961, 0.412183, 0.04968, -0.083433], "network.12.weight": [[0.517889, -0.376284, -0.430084, 0.353033, -0.505452, 0.509639, -0.465029, -0.298912]], "network.12.bias": [0.005648]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972632706165314, "train_acc": 0.465, "val_loss": 0.6899253129959106, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6874616146087646, "train_acc": 0.555, "val_loss": 0.6923606395721436, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.692947268486023, "train_acc": 0.555, "val_loss": 0.6923595666885376, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6906434595584869, "train_acc": 0.555, "val_loss": 0.6840782761573792, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6774148046970367, "train_acc": 0.555, "val_loss": 0.6545207500457764, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6495895981788635, "train_acc": 0.54, "val_loss": 0.6669101119041443, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6091202199459076, "train_acc": 0.635, "val_loss": 0.6929503083229065, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6035189628601074, "train_acc": 0.645, "val_loss": 0.6677701473236084, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5816220045089722, "train_acc": 0.665, "val_loss": 0.6149283051490784, "val_acc": 0.58}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5242358446121216, "train_acc": 0.69, "val_loss": 0.5537462830543518, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5298125147819519, "train_acc": 0.72, "val_loss": 0.5115510821342468, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.46651965379714966, "train_acc": 0.795, "val_loss": 0.47186601161956787, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.4214968681335449, "train_acc": 0.805, "val_loss": 0.6036519408226013, "val_acc": 0.7}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.42051704227924347, "train_acc": 0.79, "val_loss": 0.4338802993297577, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.40621787309646606, "train_acc": 0.84, "val_loss": 0.5142011046409607, "val_acc": 0.8}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.6899253129959106, "final_val_loss": 0.6545207500457764, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6669101119041443, "final_val_loss": 0.5142011046409607, "initial_val_acc": 0.58, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 13}, "improvement": 0.2799999999999999, "first_improvement_epoch": 4}}
|
9,949
|
{"target_pattern": "no_repeats", "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": 4608, "learning_rate": 0.06245434215317042, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.454268,
0.415662,
0.076236,
0.458279,
0.31239
],
[
-0.238762,
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-0.099403,
-0.44091,
0.025418
],
[
0.296867,
-0.067065,
-0.280724,
0.24008,
0.375688
],
[
-0.386671,
0.354978,
-0.207201,
-0.08371,
0.456779
],
[
-0.100475,
0.023578,
-0.38909,
-0.188611,
0.173219
],
[
-0.498842,
0.695914,
0.146561,
-0.019993,
-0.013474
]
],
"network.0.bias": [
-0.322363,
0.244204,
0.587856,
-0.098299,
-0.152775,
-0.12958
],
"network.2.weight": [
[
0.541364,
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0.540058,
-0.072396,
-0.254547
],
[
0.325081,
-0.084709,
-0.420908,
-0.216202,
0.136671,
-0.726216
],
[
0.371002,
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-0.253976,
0.266671,
-0.252754,
0.263934
],
[
-0.008016,
0.004557,
-0.372733,
-0.159665,
-0.499159,
-0.034753
],
[
-0.166601,
0.027536,
-0.099117,
-0.318297,
-0.1621,
-0.486793
],
[
-0.483856,
-0.182901,
-0.166717,
0.229173,
-0.011116,
0.22931
]
],
"network.2.bias": [
0.222698,
-0.285486,
-0.426518,
-0.164993,
-0.182272,
-0.313444
],
"network.4.weight": [
[
0.428389,
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0.163766,
-0.137223,
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0.464114
],
[
0.168135,
0.062109,
-0.147558,
-0.193461,
0.100491,
0.146174
],
[
-0.072978,
0.190949,
-0.500719,
-0.088607,
0.140942,
-0.105025
],
[
0.428141,
0.192883,
0.574604,
0.350807,
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0.07018
],
[
0.022626,
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0.044954,
0.231359,
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0.041038
],
[
0.208721,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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0.558428,
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0.048672
],
[
-0.050412,
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],
[
0.147096,
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0.280041,
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],
[
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],
[
0.098475,
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]
],
"network.6.bias": [
0.263129,
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-0.229473,
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0.488134,
0.516157
],
"network.8.weight": [
[
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-0.272581,
-0.76513,
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]
],
"network.8.bias": [
0.036089
]
}
## Activation Signature
### 0
mean: [1.397038, -1.766237, 1.226867, 0.018389, -1.238442, 0.764406]
std: [1.668917, 1.444244, 1.094403, 1.082932, 0.878067, 1.358019]
pca: [[0.687423, 0.138166, 0.136813, 0.622002, 0.319736, 0.022882, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466563, 0.614076, 0.054810, 0.426933, -0.148098, 0.444994, 0.000000, 0.000000, 0.000000, 0.000000], [0.138095, -0.305831, 0.701143, -0.165809, -0.183594, 0.578442, 0.000000, 0.000000, 0.000000, 0.000000], [0.262698, 0.489836, 0.358826, -0.172308, -0.561433, -0.466259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122773, 0.395173, 0.368113, -0.401493, 0.723417, -0.093432, 0.000000, 0.000000, 0.000000, 0.000000], [0.454549, 0.337914, -0.471608, -0.460936, -0.059916, 0.490646, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.960960, 23.987113, 25.348565, 31.489027, 125.733421], [22.395113, 24.447224, 27.448977, 30.903508, 158.961324], [17.432051, 18.794795, 18.945025, 19.122227, 110.418021], [18.195903, 18.337879, 18.651390, 19.021686, 19.716200], [12.923864, 13.560646, 13.770587, 14.609526, 111.459746], [20.483413, 20.753742, 24.037388, 26.564135, 68.796527]]
### 2
mean: [0.380218, -1.121050, 0.177779, -0.762237, -1.174697, -0.957619]
std: [0.779777, 0.574869, 0.884065, 0.455645, 0.882581, 0.609853]
pca: [[-0.465157, -0.095502, 0.518114, 0.589483, -0.398100, 0.009636, 0.000000, 0.000000, 0.000000, 0.000000], [0.262725, -0.361863, 0.623672, -0.004618, 0.577965, -0.277487, 0.000000, 0.000000, 0.000000, 0.000000], [-0.565004, 0.203636, 0.226605, -0.349671, 0.401822, 0.551563, 0.000000, 0.000000, 0.000000, 0.000000], [0.128668, 0.455979, 0.485418, -0.535865, -0.427840, -0.264005, 0.000000, 0.000000, 0.000000, 0.000000], [0.570081, -0.126081, 0.230940, 0.058266, -0.231089, 0.740933, 0.000000, 0.000000, 0.000000, 0.000000], [0.232007, 0.771138, 0.047717, 0.489563, 0.331004, 0.002578, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.650400, 13.971878, 14.479582, 16.107124, 34.219606], [8.807408, 10.047172, 10.346402, 12.234767, 100.894512], [12.475172, 13.008464, 14.773580, 16.000108, 17.169891], [6.575004, 7.534538, 7.822094, 8.208430, 68.601345], [12.484844, 13.601696, 15.195865, 16.585940, 105.722694], [9.330647, 10.013416, 10.892663, 11.187885, 86.185665]]
### 4
mean: [-0.060767, -0.528392, 0.175298, 0.432056, 0.333157, 0.030822]
std: [0.355191, 0.048268, 0.368593, 0.616124, 0.042015, 0.353956]
pca: [[0.401697, 0.617373, -0.050063, 0.651827, -0.093304, 0.146289, 0.000000, 0.000000, 0.000000, 0.000000], [0.001024, 0.540844, -0.430834, -0.504963, 0.498586, 0.135251, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418048, 0.561165, 0.463398, -0.274996, -0.452105, -0.124780, 0.000000, 0.000000, 0.000000, 0.000000], [0.705319, 0.037898, 0.290841, -0.316553, 0.040326, -0.560952, 0.000000, 0.000000, 0.000000, 0.000000], [0.048061, -0.018564, 0.713231, 0.015450, 0.527706, 0.458186, 0.000000, 0.000000, 0.000000, 0.000000], [0.405079, -0.098240, -0.062063, -0.379561, -0.508141, 0.648178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.998998, 5.095129, 5.250320, 5.468986, 6.204986], [0.676871, 0.693395, 0.694314, 1.007993, 47.555243], [5.553276, 5.707250, 5.830665, 6.433791, 15.776813], [8.656002, 9.030838, 9.906228, 10.336218, 38.885077], [0.610716, 0.622578, 0.693400, 0.695101, 29.984136], [4.863498, 5.089896, 5.227472, 5.803094, 5.874159]]
### 6
mean: [0.295292, 0.266881, -0.505001, 0.349100, 0.602116, 0.407178]
std: [0.398887, 0.323478, 0.108031, 0.287131, 0.313479, 0.388756]
pca: [[0.512923, 0.056905, -0.458292, 0.283453, 0.563411, -0.354773, 0.000000, 0.000000, 0.000000, 0.000000], [0.414377, 0.540976, 0.582213, 0.363885, -0.220309, -0.125367, 0.000000, 0.000000, 0.000000, 0.000000], [0.136047, -0.423981, -0.284673, 0.627960, -0.561178, 0.106948, 0.000000, 0.000000, 0.000000, 0.000000], [0.368134, -0.461911, 0.211234, -0.435126, -0.267840, -0.587727, 0.000000, 0.000000, 0.000000, 0.000000], [0.402176, 0.408154, -0.485072, -0.442762, -0.408643, 0.270820, 0.000000, 0.000000, 0.000000, 0.000000], [0.499425, -0.379994, 0.300071, -0.086807, 0.283522, 0.654382, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.508941, 5.755408, 6.204228, 6.306407, 26.576302], [4.379103, 5.029295, 5.260495, 5.323184, 24.019315], [1.674900, 1.686178, 1.823280, 1.856925, 45.450088], [4.274579, 4.428473, 4.517958, 4.780959, 31.419033], [4.276393, 4.802576, 4.822826, 4.928781, 54.190474], [5.679331, 5.759839, 6.187725, 6.387660, 36.646037]]
### 8
mean: [-1.069112]
std: [0.598585]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.388865, 9.084044, 9.351391, 12.338879, 96.220087]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.454268,
0.415662,
0.076236,
0.458279,
0.31239
],
[
-0.238762,
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-0.099403,
-0.44091,
0.025418
],
[
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-0.067065,
-0.280724,
0.24008,
0.375688
],
[
-0.386671,
0.354978,
-0.207201,
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0.456779
],
[
-0.100475,
0.023578,
-0.38909,
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0.173219
],
[
-0.498842,
0.695914,
0.146561,
-0.019993,
-0.013474
]
],
"network.0.bias": [
-0.322363,
0.244204,
0.587856,
-0.098299,
-0.152775,
-0.12958
],
"network.2.weight": [
[
0.541364,
0.267199,
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-0.072396,
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],
[
0.325081,
-0.084709,
-0.420908,
-0.216202,
0.136671,
-0.726216
],
[
0.371002,
-0.293984,
-0.253976,
0.266671,
-0.252754,
0.263934
],
[
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0.004557,
-0.372733,
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-0.499159,
-0.034753
],
[
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0.027536,
-0.099117,
-0.318297,
-0.1621,
-0.486793
],
[
-0.483856,
-0.182901,
-0.166717,
0.229173,
-0.011116,
0.22931
]
],
"network.2.bias": [
0.222698,
-0.285486,
-0.426518,
-0.164993,
-0.182272,
-0.313444
],
"network.4.weight": [
[
0.428389,
0.105309,
0.163766,
-0.137223,
-0.176564,
0.464114
],
[
0.168135,
0.062109,
-0.147558,
-0.193461,
0.100491,
0.146174
],
[
-0.072978,
0.190949,
-0.500719,
-0.088607,
0.140942,
-0.105025
],
[
0.428141,
0.192883,
0.574604,
0.350807,
-0.328749,
0.07018
],
[
0.022626,
-0.310469,
0.044954,
0.231359,
-0.130999,
0.041038
],
[
0.208721,
-0.248239,
0.362932,
-0.358668,
-0.056365,
0.241089
]
],
"network.4.bias": [
-0.358451,
-0.553171,
0.431486,
-0.044037,
0.301657,
-0.237263
],
"network.6.weight": [
[
-0.413069,
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],
[
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],
[
-0.050412,
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],
[
0.147096,
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0.280041,
-0.469679
],
[
-0.50167,
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0.761876,
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0.072614,
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],
[
0.098475,
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0.252207,
-0.427121,
0.207784,
-0.445978
]
],
"network.6.bias": [
0.263129,
0.275037,
-0.229473,
0.409688,
0.488134,
0.516157
],
"network.8.weight": [
[
-0.596768,
-0.136335,
-0.35317,
-0.272581,
-0.76513,
-0.567185
]
],
"network.8.bias": [
0.036089
]
}
## Activation Signature
### 0
mean: [1.397038, -1.766237, 1.226867, 0.018389, -1.238442, 0.764406]
std: [1.668917, 1.444244, 1.094403, 1.082932, 0.878067, 1.358019]
pca: [[0.687423, 0.138166, 0.136813, 0.622002, 0.319736, 0.022882, 0.000000, 0.000000, 0.000000, 0.000000], [-0.466563, 0.614076, 0.054810, 0.426933, -0.148098, 0.444994, 0.000000, 0.000000, 0.000000, 0.000000], [0.138095, -0.305831, 0.701143, -0.165809, -0.183594, 0.578442, 0.000000, 0.000000, 0.000000, 0.000000], [0.262698, 0.489836, 0.358826, -0.172308, -0.561433, -0.466259, 0.000000, 0.000000, 0.000000, 0.000000], [-0.122773, 0.395173, 0.368113, -0.401493, 0.723417, -0.093432, 0.000000, 0.000000, 0.000000, 0.000000], [0.454549, 0.337914, -0.471608, -0.460936, -0.059916, 0.490646, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.960960, 23.987113, 25.348565, 31.489027, 125.733421], [22.395113, 24.447224, 27.448977, 30.903508, 158.961324], [17.432051, 18.794795, 18.945025, 19.122227, 110.418021], [18.195903, 18.337879, 18.651390, 19.021686, 19.716200], [12.923864, 13.560646, 13.770587, 14.609526, 111.459746], [20.483413, 20.753742, 24.037388, 26.564135, 68.796527]]
### 2
mean: [0.380218, -1.121050, 0.177779, -0.762237, -1.174697, -0.957619]
std: [0.779777, 0.574869, 0.884065, 0.455645, 0.882581, 0.609853]
pca: [[-0.465157, -0.095502, 0.518114, 0.589483, -0.398100, 0.009636, 0.000000, 0.000000, 0.000000, 0.000000], [0.262725, -0.361863, 0.623672, -0.004618, 0.577965, -0.277487, 0.000000, 0.000000, 0.000000, 0.000000], [-0.565004, 0.203636, 0.226605, -0.349671, 0.401822, 0.551563, 0.000000, 0.000000, 0.000000, 0.000000], [0.128668, 0.455979, 0.485418, -0.535865, -0.427840, -0.264005, 0.000000, 0.000000, 0.000000, 0.000000], [0.570081, -0.126081, 0.230940, 0.058266, -0.231089, 0.740933, 0.000000, 0.000000, 0.000000, 0.000000], [0.232007, 0.771138, 0.047717, 0.489563, 0.331004, 0.002578, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.650400, 13.971878, 14.479582, 16.107124, 34.219606], [8.807408, 10.047172, 10.346402, 12.234767, 100.894512], [12.475172, 13.008464, 14.773580, 16.000108, 17.169891], [6.575004, 7.534538, 7.822094, 8.208430, 68.601345], [12.484844, 13.601696, 15.195865, 16.585940, 105.722694], [9.330647, 10.013416, 10.892663, 11.187885, 86.185665]]
### 4
mean: [-0.060767, -0.528392, 0.175298, 0.432056, 0.333157, 0.030822]
std: [0.355191, 0.048268, 0.368593, 0.616124, 0.042015, 0.353956]
pca: [[0.401697, 0.617373, -0.050063, 0.651827, -0.093304, 0.146289, 0.000000, 0.000000, 0.000000, 0.000000], [0.001024, 0.540844, -0.430834, -0.504963, 0.498586, 0.135251, 0.000000, 0.000000, 0.000000, 0.000000], [-0.418048, 0.561165, 0.463398, -0.274996, -0.452105, -0.124780, 0.000000, 0.000000, 0.000000, 0.000000], [0.705319, 0.037898, 0.290841, -0.316553, 0.040326, -0.560952, 0.000000, 0.000000, 0.000000, 0.000000], [0.048061, -0.018564, 0.713231, 0.015450, 0.527706, 0.458186, 0.000000, 0.000000, 0.000000, 0.000000], [0.405079, -0.098240, -0.062063, -0.379561, -0.508141, 0.648178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[4.998998, 5.095129, 5.250320, 5.468986, 6.204986], [0.676871, 0.693395, 0.694314, 1.007993, 47.555243], [5.553276, 5.707250, 5.830665, 6.433791, 15.776813], [8.656002, 9.030838, 9.906228, 10.336218, 38.885077], [0.610716, 0.622578, 0.693400, 0.695101, 29.984136], [4.863498, 5.089896, 5.227472, 5.803094, 5.874159]]
### 6
mean: [0.295292, 0.266881, -0.505001, 0.349100, 0.602116, 0.407178]
std: [0.398887, 0.323478, 0.108031, 0.287131, 0.313479, 0.388756]
pca: [[0.512923, 0.056905, -0.458292, 0.283453, 0.563411, -0.354773, 0.000000, 0.000000, 0.000000, 0.000000], [0.414377, 0.540976, 0.582213, 0.363885, -0.220309, -0.125367, 0.000000, 0.000000, 0.000000, 0.000000], [0.136047, -0.423981, -0.284673, 0.627960, -0.561178, 0.106948, 0.000000, 0.000000, 0.000000, 0.000000], [0.368134, -0.461911, 0.211234, -0.435126, -0.267840, -0.587727, 0.000000, 0.000000, 0.000000, 0.000000], [0.402176, 0.408154, -0.485072, -0.442762, -0.408643, 0.270820, 0.000000, 0.000000, 0.000000, 0.000000], [0.499425, -0.379994, 0.300071, -0.086807, 0.283522, 0.654382, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.508941, 5.755408, 6.204228, 6.306407, 26.576302], [4.379103, 5.029295, 5.260495, 5.323184, 24.019315], [1.674900, 1.686178, 1.823280, 1.856925, 45.450088], [4.274579, 4.428473, 4.517958, 4.780959, 31.419033], [4.276393, 4.802576, 4.822826, 4.928781, 54.190474], [5.679331, 5.759839, 6.187725, 6.387660, 36.646037]]
### 8
mean: [-1.069112]
std: [0.598585]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.388865, 9.084044, 9.351391, 12.338879, 96.220087]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.3970379829406738, "std": 1.6689172983169556, "pca": [0.6874233484268188, 0.138165682554245, 0.13681276142597198, 0.6220023036003113, 0.3197360932826996, 0.022881945595145226, 0.0, 0.0, 0.0, 0.0], "fourier": [23.960960454404525, 23.98711313289578, 25.348565092370585, 31.489027271821985, 125.73342111706734]}, "1": {"mean": -1.7662369012832642, "std": 1.4442436695098877, "pca": [-0.4665631055831909, 0.6140764951705933, 0.054810356348752975, 0.4269331097602844, -0.14809836447238922, 0.44499415159225464, 0.0, 0.0, 0.0, 0.0], "fourier": [22.395112937962644, 24.44722357584115, 27.448976752504304, 30.90350761479722, 158.96132422983646]}, "2": {"mean": 1.2268669605255127, "std": 1.0944032669067383, "pca": [0.1380949467420578, -0.3058314919471741, 0.7011431455612183, -0.1658092737197876, -0.18359434604644775, 0.578442394733429, 0.0, 0.0, 0.0, 0.0], "fourier": [17.432051039038168, 18.794795151461887, 18.94502496978052, 19.122226735764546, 110.4180206656456]}, "3": {"mean": 0.018389154225587845, "std": 1.0829321146011353, "pca": [0.2626977264881134, 0.4898362159729004, 0.3588256537914276, -0.17230762541294098, -0.5614328980445862, -0.46625930070877075, 0.0, 0.0, 0.0, 0.0], "fourier": [18.195903020074596, 18.337879355398364, 18.651389979592963, 19.021685562051353, 19.71619966387556]}, "4": {"mean": -1.2384415864944458, "std": 0.8780665993690491, "pca": [-0.12277277559041977, 0.3951731324195862, 0.36811262369155884, -0.40149301290512085, 0.7234168648719788, -0.09343189746141434, 0.0, 0.0, 0.0, 0.0], "fourier": [12.923864423487595, 13.560645836224769, 13.770587473322264, 14.609525816423446, 111.45974554121494]}, "5": {"mean": 0.7644059062004089, "std": 1.3580193519592285, "pca": [0.454548716545105, 0.3379143476486206, -0.471607506275177, -0.4609359800815582, -0.05991612374782562, 0.4906463027000427, 0.0, 0.0, 0.0, 0.0], "fourier": [20.483413217753217, 20.753742346089144, 24.037387595733648, 26.564135466736975, 68.79652717709541]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.3802178204059601, "std": 0.7797771096229553, "pca": [-0.46515676379203796, -0.09550156444311142, 0.5181142687797546, 0.5894827842712402, -0.39809972047805786, 0.0096364114433527, 0.0, 0.0, 0.0, 0.0], "fourier": [11.650399659078463, 13.971877688962008, 14.479582081103482, 16.10712378362974, 34.219606429338455]}, "1": {"mean": -1.1210501194000244, "std": 0.5748686194419861, "pca": [0.26272520422935486, -0.3618631958961487, 0.6236721873283386, -0.004617622122168541, 0.577964723110199, -0.2774868309497833, 0.0, 0.0, 0.0, 0.0], "fourier": [8.807407961953459, 10.04717195842454, 10.346401713325474, 12.23476707349276, 100.89451232552528]}, "2": {"mean": 0.177778959274292, "std": 0.8840653300285339, "pca": [-0.5650041103363037, 0.20363616943359375, 0.2266051471233368, -0.34967130422592163, 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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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.454268, 0.415662, 0.076236, 0.458279, 0.31239], [-0.238762, -0.324612, -0.099403, -0.44091, 0.025418], [0.296867, -0.067065, -0.280724, 0.24008, 0.375688], [-0.386671, 0.354978, -0.207201, -0.08371, 0.456779], [-0.100475, 0.023578, -0.38909, -0.188611, 0.173219], [-0.498842, 0.695914, 0.146561, -0.019993, -0.013474]], "network.0.bias": [-0.322363, 0.244204, 0.587856, -0.098299, -0.152775, -0.12958], "network.2.weight": [[0.541364, 0.267199, -0.51927, 0.540058, -0.072396, -0.254547], [0.325081, -0.084709, -0.420908, -0.216202, 0.136671, -0.726216], [0.371002, -0.293984, -0.253976, 0.266671, -0.252754, 0.263934], [-0.008016, 0.004557, -0.372733, -0.159665, -0.499159, -0.034753], [-0.166601, 0.027536, -0.099117, -0.318297, -0.1621, -0.486793], [-0.483856, -0.182901, -0.166717, 0.229173, -0.011116, 0.22931]], "network.2.bias": [0.222698, -0.285486, -0.426518, -0.164993, -0.182272, -0.313444], "network.4.weight": [[0.428389, 0.105309, 0.163766, -0.137223, -0.176564, 0.464114], [0.168135, 0.062109, -0.147558, -0.193461, 0.100491, 0.146174], [-0.072978, 0.190949, -0.500719, -0.088607, 0.140942, -0.105025], [0.428141, 0.192883, 0.574604, 0.350807, -0.328749, 0.07018], [0.022626, -0.310469, 0.044954, 0.231359, -0.130999, 0.041038], [0.208721, -0.248239, 0.362932, -0.358668, -0.056365, 0.241089]], "network.4.bias": [-0.358451, -0.553171, 0.431486, -0.044037, 0.301657, -0.237263], "network.6.weight": [[-0.413069, -0.136845, 0.605393, -0.296053, 0.214084, -0.136829], [-0.098295, -0.035177, 0.558428, -0.370394, 0.034057, 0.048672], [-0.050412, -0.012833, -0.099623, -0.095151, -0.549532, -0.112018], [0.147096, -0.186895, 0.129189, -0.303755, 0.280041, -0.469679], [-0.50167, -0.046103, 0.761876, -0.112042, 0.072614, -0.037982], [0.098475, -0.480958, 0.252207, -0.427121, 0.207784, -0.445978]], "network.6.bias": [0.263129, 0.275037, -0.229473, 0.409688, 0.488134, 0.516157], "network.8.weight": [[-0.596768, -0.136335, -0.35317, -0.272581, -0.76513, -0.567185]], "network.8.bias": [0.036089]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.683748871088028, "train_acc": 0.545, "val_loss": 0.6796939969062805, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6833547949790955, "train_acc": 0.545, "val_loss": 0.6688889861106873, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6750808358192444, "train_acc": 0.545, "val_loss": 0.6156015992164612, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7443273365497589, "train_acc": 0.485, "val_loss": 0.5714138746261597, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6123863458633423, "train_acc": 0.735, "val_loss": 0.6530297994613647, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6464807391166687, "train_acc": 0.63, "val_loss": 0.6712614297866821, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.654386579990387, "train_acc": 0.615, "val_loss": 0.6799856424331665, "val_acc": 0.52}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6796939969062805, "final_val_loss": 0.6156015992164612, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5714138746261597, "final_val_loss": 0.6799856424331665, "initial_val_acc": 0.84, "final_val_acc": 0.52, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
9,950
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7443, "learning_rate": 0.027919864199896102, "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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"network.8.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.140219, 2.380211, 2.133575, 1.457533, 1.514102, -0.572515, -0.491926]
std: [1.566536, 1.764020, 1.422286, 1.480842, 1.521888, 1.007774, 0.953481]
pca: [[-0.001229, 0.812681, 0.326628, 0.359148, 0.271763, 0.114242, 0.130264, 0.000000, 0.000000, 0.000000], [0.605182, 0.118158, 0.015678, 0.156541, -0.091617, -0.571196, -0.510278, 0.000000, 0.000000, 0.000000], [0.364320, -0.008340, 0.679183, -0.560351, -0.189827, 0.081578, 0.221877, 0.000000, 0.000000, 0.000000], [0.500560, -0.105713, -0.158069, 0.008512, 0.337579, 0.715749, -0.294874, 0.000000, 0.000000, 0.000000], [0.499191, -0.016278, -0.356926, 0.227019, -0.149827, -0.058012, 0.738780, 0.000000, 0.000000, 0.000000], [-0.018440, -0.361022, 0.440890, 0.675941, -0.408782, 0.218662, -0.055930, 0.000000, 0.000000, 0.000000], [0.030527, -0.428651, 0.291570, 0.154947, 0.760399, -0.300922, 0.193763, 0.000000, 0.000000, 0.000000]]
fourier: [[22.287878, 23.450130, 25.495347, 28.039474, 192.619678], [27.963769, 32.483786, 36.830997, 37.119486, 214.219013], [22.999573, 23.444954, 24.969106, 26.715996, 192.021773], [25.892401, 26.617219, 29.339917, 33.653295, 131.177934], [24.891565, 28.828069, 32.366129, 33.688877, 136.269152], [14.484758, 14.625072, 17.063995, 17.514167, 51.526397], [14.947545, 15.101526, 16.956131, 20.004931, 44.273336]]
### 2
mean: [2.409775, 0.942565, 1.760897, -0.669722, 0.395197, 0.234082, -1.961959]
std: [1.690133, 0.770513, 1.198245, 0.276105, 1.216367, 1.018293, 1.030819]
pca: [[0.623267, 0.269338, 0.409437, 0.223701, 0.377764, 0.241245, -0.347002, 0.000000, 0.000000, 0.000000], [-0.171828, 0.526710, -0.062103, 0.724435, -0.225805, 0.103872, 0.320331, 0.000000, 0.000000, 0.000000], [0.432761, 0.284368, 0.128607, -0.475733, -0.275876, 0.125705, 0.630144, 0.000000, 0.000000, 0.000000], [0.008988, -0.194711, -0.412910, 0.068036, 0.662877, 0.407088, 0.426329, 0.000000, 0.000000, 0.000000], [-0.394573, 0.529931, -0.136339, -0.406862, 0.021724, 0.512910, -0.340311, 0.000000, 0.000000, 0.000000], [-0.350557, 0.333173, 0.397258, -0.153784, 0.529781, -0.503105, 0.225521, 0.000000, 0.000000, 0.000000], [-0.340693, -0.373398, 0.681959, 0.070816, -0.098251, 0.483009, 0.177394, 0.000000, 0.000000, 0.000000]]
fourier: [[28.672466, 31.708906, 34.709986, 36.408376, 216.879727], [11.386735, 12.049558, 13.736086, 14.639958, 84.830852], [19.282540, 23.098046, 24.746446, 25.787638, 158.480730], [4.068076, 4.316728, 4.586226, 5.344364, 60.275016], [20.548955, 21.631539, 24.194127, 25.182550, 35.567709], [16.699569, 19.783380, 20.822647, 20.928607, 21.067382], [15.004939, 19.428902, 20.390805, 21.149764, 176.576327]]
### 4
mean: [-0.937943, -1.787432, 0.053272, 2.772310, 0.273118, -0.985649, -0.148776]
std: [0.335041, 0.843135, 1.404053, 1.434994, 0.998336, 0.540767, 0.259877]
pca: [[-0.000517, -0.379331, 0.336020, 0.571127, -0.267655, 0.469281, 0.353764, 0.000000, 0.000000, 0.000000], [-0.335364, -0.358007, -0.455369, -0.054522, 0.143589, -0.310812, 0.657120, 0.000000, 0.000000, 0.000000], [-0.574160, 0.483155, 0.404147, -0.213981, -0.378255, -0.068094, 0.282959, 0.000000, 0.000000, 0.000000], [0.581724, 0.536355, -0.083694, -0.014552, 0.123160, 0.149572, 0.573728, 0.000000, 0.000000, 0.000000], [-0.395480, 0.435046, -0.269964, 0.634282, 0.388048, 0.097795, -0.137805, 0.000000, 0.000000, 0.000000], [-0.231358, -0.018943, -0.333383, -0.434306, 0.051577, 0.801831, -0.027468, 0.000000, 0.000000, 0.000000], [-0.097659, -0.131146, 0.570408, -0.184136, 0.772176, 0.060545, 0.118618, 0.000000, 0.000000, 0.000000]]
fourier: [[4.517636, 4.575560, 4.672629, 6.154460, 84.414827], [12.558188, 15.193290, 16.925526, 17.793672, 160.868859], [21.944316, 24.835791, 25.219594, 26.461456, 32.067728], [22.362047, 26.194572, 29.456062, 30.322014, 249.507926], [17.474001, 18.101121, 18.381384, 22.250328, 24.580601], [9.321719, 10.378661, 10.641218, 12.248001, 88.708434], [4.041824, 4.596913, 4.979832, 5.427782, 13.389853]]
### 6
mean: [0.890919, 1.043404, 0.586755, 0.554476, -0.561459, 1.692964, -0.242755]
std: [0.632661, 0.857513, 0.595056, 0.654363, 0.216003, 0.550892, 0.160688]
pca: [[0.434462, 0.322423, 0.014209, 0.744316, 0.099029, 0.242448, 0.290671, 0.000000, 0.000000, 0.000000], [0.602838, 0.329693, 0.238041, -0.596278, -0.128592, -0.025797, 0.313809, 0.000000, 0.000000, 0.000000], [-0.426169, 0.140086, 0.085178, -0.149964, 0.644860, 0.060626, 0.591179, 0.000000, 0.000000, 0.000000], [-0.450739, 0.324425, -0.007745, -0.040459, -0.635672, 0.481112, 0.233104, 0.000000, 0.000000, 0.000000], [-0.130181, -0.190359, 0.917045, 0.201867, -0.154450, -0.194392, 0.058751, 0.000000, 0.000000, 0.000000], [-0.186715, 0.784181, 0.141732, 0.015625, 0.166926, -0.240057, -0.494341, 0.000000, 0.000000, 0.000000], [0.105991, -0.106271, 0.273423, -0.159139, 0.319398, 0.781020, -0.406669, 0.000000, 0.000000, 0.000000]]
fourier: [[10.713880, 11.851548, 12.139225, 14.560265, 80.182670], [14.484241, 15.621245, 16.020974, 20.017308, 93.906353], [9.492296, 9.913639, 10.050399, 13.617631, 52.807975], [10.241158, 10.671843, 11.415896, 14.255541, 49.902828], [3.412090, 3.849099, 4.498813, 4.869372, 50.531324], [8.226728, 8.387775, 8.704333, 9.358451, 152.366757], [2.526567, 2.694711, 2.848163, 3.305660, 21.847955]]
### 8
mean: [0.532634, -0.533892, -0.817237, 0.481826, -0.484710, -0.262481, 1.125384]
std: [1.120239, 0.091104, 0.140276, 0.605088, 0.165830, 0.018887, 0.915966]
pca: [[0.720753, 0.259078, -0.061767, -0.057840, 0.016902, 0.041114, 0.635812, 0.000000, 0.000000, 0.000000], [-0.027791, -0.230337, 0.678596, -0.265918, 0.167045, -0.588872, 0.200732, 0.000000, 0.000000, 0.000000], [0.067106, -0.275550, -0.054473, 0.813824, 0.467748, -0.157956, 0.102731, 0.000000, 0.000000, 0.000000], [0.377153, 0.465188, 0.010300, -0.092050, 0.438819, -0.233535, -0.621028, 0.000000, 0.000000, 0.000000], [-0.061161, -0.400207, -0.515693, -0.499951, 0.552273, -0.010543, 0.122828, 0.000000, 0.000000, 0.000000], [-0.002157, -0.032443, 0.513254, -0.066324, 0.409778, 0.750464, 0.000071, 0.000000, 0.000000, 0.000000], [-0.573803, 0.652899, -0.057016, 0.028439, 0.295866, -0.093506, 0.379649, 0.000000, 0.000000, 0.000000]]
fourier: [[18.084287, 18.622523, 18.652117, 26.001345, 47.937038], [1.270686, 1.282450, 1.414432, 1.513549, 48.050286], [2.000935, 2.656953, 2.812125, 2.922236, 73.551301], [9.347353, 9.671907, 10.589539, 13.310834, 43.364304], [2.563966, 2.587280, 2.686723, 2.736207, 43.623932], [0.286402, 0.295095, 0.320027, 0.351497, 23.623306], [15.827025, 16.324989, 16.595819, 21.710145, 101.284552]]
### 10
mean: [-0.210101]
std: [0.958780]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.180551, 15.293125, 16.307791, 18.909116, 22.609075]]
## 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": [
[
-0.379427,
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0.470441,
0.573897,
-0.132048
],
[
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0.198067,
0.536235
],
[
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0.355164,
-0.022925,
-0.001813
],
[
0.519616,
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0.00909,
0.110632,
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],
[
0.372314,
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],
[
0.130658,
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0.277632,
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-0.189764
],
[
0.412696,
-0.187296,
-0.003372,
-0.129177,
-0.26156
]
],
"network.0.bias": [
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0.126394,
0.400708,
0.028898,
0.101138,
-0.107513,
-0.057561
],
"network.2.weight": [
[
0.143378,
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0.189714,
0.634764,
0.549474,
-0.258499,
0.171801
],
[
0.406499,
-0.003871,
0.10544,
-0.083732,
-0.200975,
-0.073388,
-0.023501
],
[
0.103767,
0.12523,
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0.177536,
0.424751,
-0.007215,
0.046065
],
[
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-0.096525,
-0.192345,
0.234585,
-0.031729,
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0.104435
],
[
0.381296,
0.066558,
0.078116,
-0.314141,
-0.41168,
0.502347,
-0.276378
],
[
0.297027,
-0.424565,
0.341027,
-0.166738,
-0.097113,
0.381393,
-0.209591
],
[
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0.167367,
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-0.428214,
-0.033537,
-0.366603
]
],
"network.2.bias": [
0.288588,
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0.147673,
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0.294393,
0.240044,
-0.443423
],
"network.4.weight": [
[
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],
[
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0.240511,
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],
[
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],
[
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0.269818,
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],
[
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0.093764,
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0.511107,
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],
[
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0.077707,
0.20379,
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],
[
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0.02924,
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0.19012
]
],
"network.4.bias": [
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"network.6.weight": [
[
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[
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0.398158,
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],
[
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0.39087,
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0.370874,
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],
[
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0.500717,
-0.027449,
0.452863,
0.115198,
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],
[
0.262003,
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0.171064,
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0.362309
],
[
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[
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-0.056127,
0.017305
]
],
"network.6.bias": [
0.252096,
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0.386848,
0.028195,
-0.234476,
0.28177,
-0.080737
],
"network.8.weight": [
[
-0.414989,
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0.437511,
0.183301
],
[
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0.306981,
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-0.225417,
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0.071834
],
[
-0.366237,
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-0.087783,
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],
[
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],
[
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],
[
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0.0072,
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],
[
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0.262775,
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
-0.325266
]
}
## Activation Signature
### 0
mean: [2.140219, 2.380211, 2.133575, 1.457533, 1.514102, -0.572515, -0.491926]
std: [1.566536, 1.764020, 1.422286, 1.480842, 1.521888, 1.007774, 0.953481]
pca: [[-0.001229, 0.812681, 0.326628, 0.359148, 0.271763, 0.114242, 0.130264, 0.000000, 0.000000, 0.000000], [0.605182, 0.118158, 0.015678, 0.156541, -0.091617, -0.571196, -0.510278, 0.000000, 0.000000, 0.000000], [0.364320, -0.008340, 0.679183, -0.560351, -0.189827, 0.081578, 0.221877, 0.000000, 0.000000, 0.000000], [0.500560, -0.105713, -0.158069, 0.008512, 0.337579, 0.715749, -0.294874, 0.000000, 0.000000, 0.000000], [0.499191, -0.016278, -0.356926, 0.227019, -0.149827, -0.058012, 0.738780, 0.000000, 0.000000, 0.000000], [-0.018440, -0.361022, 0.440890, 0.675941, -0.408782, 0.218662, -0.055930, 0.000000, 0.000000, 0.000000], [0.030527, -0.428651, 0.291570, 0.154947, 0.760399, -0.300922, 0.193763, 0.000000, 0.000000, 0.000000]]
fourier: [[22.287878, 23.450130, 25.495347, 28.039474, 192.619678], [27.963769, 32.483786, 36.830997, 37.119486, 214.219013], [22.999573, 23.444954, 24.969106, 26.715996, 192.021773], [25.892401, 26.617219, 29.339917, 33.653295, 131.177934], [24.891565, 28.828069, 32.366129, 33.688877, 136.269152], [14.484758, 14.625072, 17.063995, 17.514167, 51.526397], [14.947545, 15.101526, 16.956131, 20.004931, 44.273336]]
### 2
mean: [2.409775, 0.942565, 1.760897, -0.669722, 0.395197, 0.234082, -1.961959]
std: [1.690133, 0.770513, 1.198245, 0.276105, 1.216367, 1.018293, 1.030819]
pca: [[0.623267, 0.269338, 0.409437, 0.223701, 0.377764, 0.241245, -0.347002, 0.000000, 0.000000, 0.000000], [-0.171828, 0.526710, -0.062103, 0.724435, -0.225805, 0.103872, 0.320331, 0.000000, 0.000000, 0.000000], [0.432761, 0.284368, 0.128607, -0.475733, -0.275876, 0.125705, 0.630144, 0.000000, 0.000000, 0.000000], [0.008988, -0.194711, -0.412910, 0.068036, 0.662877, 0.407088, 0.426329, 0.000000, 0.000000, 0.000000], [-0.394573, 0.529931, -0.136339, -0.406862, 0.021724, 0.512910, -0.340311, 0.000000, 0.000000, 0.000000], [-0.350557, 0.333173, 0.397258, -0.153784, 0.529781, -0.503105, 0.225521, 0.000000, 0.000000, 0.000000], [-0.340693, -0.373398, 0.681959, 0.070816, -0.098251, 0.483009, 0.177394, 0.000000, 0.000000, 0.000000]]
fourier: [[28.672466, 31.708906, 34.709986, 36.408376, 216.879727], [11.386735, 12.049558, 13.736086, 14.639958, 84.830852], [19.282540, 23.098046, 24.746446, 25.787638, 158.480730], [4.068076, 4.316728, 4.586226, 5.344364, 60.275016], [20.548955, 21.631539, 24.194127, 25.182550, 35.567709], [16.699569, 19.783380, 20.822647, 20.928607, 21.067382], [15.004939, 19.428902, 20.390805, 21.149764, 176.576327]]
### 4
mean: [-0.937943, -1.787432, 0.053272, 2.772310, 0.273118, -0.985649, -0.148776]
std: [0.335041, 0.843135, 1.404053, 1.434994, 0.998336, 0.540767, 0.259877]
pca: [[-0.000517, -0.379331, 0.336020, 0.571127, -0.267655, 0.469281, 0.353764, 0.000000, 0.000000, 0.000000], [-0.335364, -0.358007, -0.455369, -0.054522, 0.143589, -0.310812, 0.657120, 0.000000, 0.000000, 0.000000], [-0.574160, 0.483155, 0.404147, -0.213981, -0.378255, -0.068094, 0.282959, 0.000000, 0.000000, 0.000000], [0.581724, 0.536355, -0.083694, -0.014552, 0.123160, 0.149572, 0.573728, 0.000000, 0.000000, 0.000000], [-0.395480, 0.435046, -0.269964, 0.634282, 0.388048, 0.097795, -0.137805, 0.000000, 0.000000, 0.000000], [-0.231358, -0.018943, -0.333383, -0.434306, 0.051577, 0.801831, -0.027468, 0.000000, 0.000000, 0.000000], [-0.097659, -0.131146, 0.570408, -0.184136, 0.772176, 0.060545, 0.118618, 0.000000, 0.000000, 0.000000]]
fourier: [[4.517636, 4.575560, 4.672629, 6.154460, 84.414827], [12.558188, 15.193290, 16.925526, 17.793672, 160.868859], [21.944316, 24.835791, 25.219594, 26.461456, 32.067728], [22.362047, 26.194572, 29.456062, 30.322014, 249.507926], [17.474001, 18.101121, 18.381384, 22.250328, 24.580601], [9.321719, 10.378661, 10.641218, 12.248001, 88.708434], [4.041824, 4.596913, 4.979832, 5.427782, 13.389853]]
### 6
mean: [0.890919, 1.043404, 0.586755, 0.554476, -0.561459, 1.692964, -0.242755]
std: [0.632661, 0.857513, 0.595056, 0.654363, 0.216003, 0.550892, 0.160688]
pca: [[0.434462, 0.322423, 0.014209, 0.744316, 0.099029, 0.242448, 0.290671, 0.000000, 0.000000, 0.000000], [0.602838, 0.329693, 0.238041, -0.596278, -0.128592, -0.025797, 0.313809, 0.000000, 0.000000, 0.000000], [-0.426169, 0.140086, 0.085178, -0.149964, 0.644860, 0.060626, 0.591179, 0.000000, 0.000000, 0.000000], [-0.450739, 0.324425, -0.007745, -0.040459, -0.635672, 0.481112, 0.233104, 0.000000, 0.000000, 0.000000], [-0.130181, -0.190359, 0.917045, 0.201867, -0.154450, -0.194392, 0.058751, 0.000000, 0.000000, 0.000000], [-0.186715, 0.784181, 0.141732, 0.015625, 0.166926, -0.240057, -0.494341, 0.000000, 0.000000, 0.000000], [0.105991, -0.106271, 0.273423, -0.159139, 0.319398, 0.781020, -0.406669, 0.000000, 0.000000, 0.000000]]
fourier: [[10.713880, 11.851548, 12.139225, 14.560265, 80.182670], [14.484241, 15.621245, 16.020974, 20.017308, 93.906353], [9.492296, 9.913639, 10.050399, 13.617631, 52.807975], [10.241158, 10.671843, 11.415896, 14.255541, 49.902828], [3.412090, 3.849099, 4.498813, 4.869372, 50.531324], [8.226728, 8.387775, 8.704333, 9.358451, 152.366757], [2.526567, 2.694711, 2.848163, 3.305660, 21.847955]]
### 8
mean: [0.532634, -0.533892, -0.817237, 0.481826, -0.484710, -0.262481, 1.125384]
std: [1.120239, 0.091104, 0.140276, 0.605088, 0.165830, 0.018887, 0.915966]
pca: [[0.720753, 0.259078, -0.061767, -0.057840, 0.016902, 0.041114, 0.635812, 0.000000, 0.000000, 0.000000], [-0.027791, -0.230337, 0.678596, -0.265918, 0.167045, -0.588872, 0.200732, 0.000000, 0.000000, 0.000000], [0.067106, -0.275550, -0.054473, 0.813824, 0.467748, -0.157956, 0.102731, 0.000000, 0.000000, 0.000000], [0.377153, 0.465188, 0.010300, -0.092050, 0.438819, -0.233535, -0.621028, 0.000000, 0.000000, 0.000000], [-0.061161, -0.400207, -0.515693, -0.499951, 0.552273, -0.010543, 0.122828, 0.000000, 0.000000, 0.000000], [-0.002157, -0.032443, 0.513254, -0.066324, 0.409778, 0.750464, 0.000071, 0.000000, 0.000000, 0.000000], [-0.573803, 0.652899, -0.057016, 0.028439, 0.295866, -0.093506, 0.379649, 0.000000, 0.000000, 0.000000]]
fourier: [[18.084287, 18.622523, 18.652117, 26.001345, 47.937038], [1.270686, 1.282450, 1.414432, 1.513549, 48.050286], [2.000935, 2.656953, 2.812125, 2.922236, 73.551301], [9.347353, 9.671907, 10.589539, 13.310834, 43.364304], [2.563966, 2.587280, 2.686723, 2.736207, 43.623932], [0.286402, 0.295095, 0.320027, 0.351497, 23.623306], [15.827025, 16.324989, 16.595819, 21.710145, 101.284552]]
### 10
mean: [-0.210101]
std: [0.958780]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.180551, 15.293125, 16.307791, 18.909116, 22.609075]]
## 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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{"mean": -0.2624811828136444, "std": 0.018887313082814217, "pca": [-0.002157414797693491, -0.03244279325008392, 0.5132535099983215, -0.06632416695356369, 0.40977826714515686, 0.7504642009735107, 7.145127892727032e-05, 0.0, 0.0, 0.0], "fourier": [0.2864024307972905, 0.29509490814359235, 0.32002664754428456, 0.35149728679664044, 23.62330614030361]}, "6": {"mean": 1.125383973121643, "std": 0.9159656763076782, "pca": [-0.5738034248352051, 0.6528987884521484, -0.05701560154557228, 0.02843870408833027, 0.2958655059337616, -0.09350588172674179, 0.37964919209480286, 0.0, 0.0, 0.0], "fourier": [15.827025005866139, 16.32498881704955, 16.595819149315233, 21.710144623092066, 101.2845524251461]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": -0.21010129153728485, "std": 0.9587797522544861, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [15.180551153420653, 15.293125237883611, 16.307791274263028, 18.90911614894867, 22.609075392084396]}}, "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": [[-0.379427, -0.018785, 0.470441, 0.573897, -0.132048], [0.41194, 0.058566, 0.262513, 0.198067, 0.536235], [0.293562, 0.371549, 0.355164, -0.022925, -0.001813], [0.519616, -0.014734, 0.00909, 0.110632, 0.448067], [0.372314, -0.039403, 0.017234, 0.098764, 0.627281], [0.130658, -0.195792, 0.277632, -0.287591, -0.189764], [0.412696, -0.187296, -0.003372, -0.129177, -0.26156]], "network.0.bias": [0.596095, 0.126394, 0.400708, 0.028898, 0.101138, -0.107513, -0.057561], "network.2.weight": [[0.143378, -0.144936, 0.189714, 0.634764, 0.549474, -0.258499, 0.171801], [0.406499, -0.003871, 0.10544, -0.083732, -0.200975, -0.073388, -0.023501], [0.103767, 0.12523, 0.084281, 0.177536, 0.424751, -0.007215, 0.046065], [-0.044256, -0.096525, -0.192345, 0.234585, -0.031729, 0.091771, 0.104435], [0.381296, 0.066558, 0.078116, -0.314141, -0.41168, 0.502347, -0.276378], [0.297027, -0.424565, 0.341027, -0.166738, -0.097113, 0.381393, -0.209591], [-0.29894, -0.147617, 0.167367, -0.1041, -0.428214, -0.033537, -0.366603]], "network.2.bias": [0.288588, 0.283332, 0.147673, -0.260531, 0.294393, 0.240044, -0.443423], "network.4.weight": [[-0.309176, -0.066674, 0.204831, 0.256181, -0.357946, -0.156956, 0.182276], [-0.273847, -0.186523, -0.346336, -0.373524, -0.200922, 0.240511, 0.016259], [-0.314172, 0.249234, -0.250537, 0.274911, 0.554808, 0.354314, 0.203421], [0.599366, 0.129734, 0.414926, -0.106182, 0.269818, -0.167829, -0.067383], [-0.356433, 0.051238, 0.093764, 0.135422, 0.395239, 0.511107, -0.42153], [-0.010648, -0.046907, -0.358507, 0.049859, 0.077707, 0.20379, 0.159344], [-0.126941, 0.058736, -0.07561, 0.356118, 0.02924, -0.256694, 0.19012]], "network.4.bias": [-0.137683, -0.322087, 0.401971, 0.366098, 0.340646, -0.453841, 0.354893], "network.6.weight": [[0.066637, -0.022675, -0.074236, 0.319767, -0.319484, -0.206868, -0.347459], [0.309975, -0.11389, -0.403461, 0.398158, -0.207501, -0.188138, -0.219119], [-0.094039, 0.299231, 0.39087, -0.102132, 0.370874, -0.072759, 0.399021], [-0.152156, 0.103981, 0.500717, -0.027449, 0.452863, 0.115198, 0.408923], [0.262003, 0.341337, 0.171064, -0.130658, -0.145884, -0.336714, 0.362309], [0.069511, -0.35391, 0.526618, 0.29319, 0.420855, 0.166117, 0.355517], [-0.199069, -0.020008, -0.124734, -0.003677, -0.122264, -0.056127, 0.017305]], "network.6.bias": [0.252096, 0.328381, 0.386848, 0.028195, -0.234476, 0.28177, -0.080737], "network.8.weight": [[-0.414989, -0.446259, 0.341229, 0.350013, 0.290844, 0.437511, 0.183301], [-0.323893, 0.305538, 0.306981, -0.191278, -0.225417, -0.166338, 0.071834], [-0.366237, 0.070894, -0.318321, 0.247981, -0.218578, -0.087783, -0.325499], [-0.232013, -0.197529, 0.202776, 0.068155, 0.209395, 0.491638, -0.335445], [0.351674, -0.313595, 0.052147, -0.173698, 0.169166, -0.222769, -0.226058], [-0.315054, 0.255818, 0.177603, -0.144215, -0.146126, 0.0072, -0.102221], [0.463316, 0.34648, -0.332963, -0.394521, 0.276549, 0.262775, -0.25364]], "network.8.bias": [0.219337, -0.361781, -0.3676, -0.098872, -0.01972, -0.287937, 0.336573], "network.10.weight": [[0.568564, 0.316985, 0.300254, 0.256459, 0.14083, 0.178794, -0.412457]], "network.10.bias": [-0.325266]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6773981750011444, "train_acc": 0.58, "val_loss": 0.7106881737709045, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6583161056041718, "train_acc": 0.58, "val_loss": 0.6694561839103699, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6452189981937408, "train_acc": 0.58, "val_loss": 0.5852423310279846, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.560092568397522, "train_acc": 0.805, "val_loss": 0.5008126497268677, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.462369903922081, "train_acc": 0.84, "val_loss": 0.43042483925819397, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37062303721904755, "train_acc": 0.855, "val_loss": 0.4105989336967468, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36865413188934326, "train_acc": 0.85, "val_loss": 0.5361257195472717, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.36173978447914124, "train_acc": 0.845, "val_loss": 0.5155928134918213, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.33881714940071106, "train_acc": 0.88, "val_loss": 0.42450034618377686, "val_acc": 0.84}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7106881737709045, "final_val_loss": 0.6694561839103699, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5852423310279846, "final_val_loss": 0.42450034618377686, "initial_val_acc": 0.78, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 4}, "improvement": 0.39999999999999997, "first_improvement_epoch": 1}}
|
9,951
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8123, "learning_rate": 0.01851225800025911, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.611525,
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0.049206,
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0.162613
],
[
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0.008235,
0.253394
],
[
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0.260986,
0.192698,
0.355095,
0.28102
],
[
-0.326133,
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-0.185436,
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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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0.262522,
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0.05379,
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],
[
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0.27226,
0.062215,
0.615427,
0.682454
],
[
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]
],
"network.2.bias": [
0.19462,
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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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"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: [1.740800, -0.195605, 1.799503, -1.911338, 0.802196, 1.970336]
std: [1.648629, 1.002019, 1.273275, 1.254428, 1.633773, 2.150209]
pca: [[-0.308065, 0.667753, -0.278506, 0.527097, -0.254215, -0.197940, 0.000000, 0.000000, 0.000000, 0.000000], [0.250339, -0.125924, -0.487224, 0.195954, -0.280400, 0.753037, 0.000000, 0.000000, 0.000000, 0.000000], [0.323630, 0.381556, -0.281921, -0.019620, 0.814291, 0.082124, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073734, -0.593512, -0.139291, 0.691937, 0.299398, -0.233429, 0.000000, 0.000000, 0.000000, 0.000000], [0.508319, -0.099131, -0.524653, -0.208095, -0.284076, -0.576647, 0.000000, 0.000000, 0.000000, 0.000000], [0.688379, 0.174875, 0.557589, 0.401629, -0.152782, -0.000235, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.220672, 28.551164, 28.819643, 29.668364, 156.672026], [16.087521, 17.604485, 17.655935, 18.928492, 21.204109], [18.841493, 21.009068, 21.378412, 22.008928, 161.955243], [19.701789, 20.698820, 22.739497, 25.491242, 172.020385], [22.717281, 24.124047, 31.683669, 33.977651, 72.197649], [33.341734, 35.162023, 37.183974, 38.441260, 177.330272]]
### 2
mean: [1.095337, 1.170296, -1.000862, -1.808019, 1.965181, 2.073681]
std: [0.905390, 1.759855, 0.551909, 0.954119, 2.450924, 2.168667]
pca: [[-0.121551, -0.579016, 0.729185, 0.015795, -0.046691, 0.340332, 0.000000, 0.000000, 0.000000, 0.000000], [0.460683, 0.256779, 0.224712, -0.408149, 0.671840, 0.231053, 0.000000, 0.000000, 0.000000, 0.000000], [0.010019, 0.405190, 0.359368, 0.803098, 0.234215, -0.082172, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126211, 0.616661, 0.201534, -0.197944, -0.512590, 0.511130, 0.000000, 0.000000, 0.000000, 0.000000], [0.654542, 0.027218, 0.334069, -0.089166, -0.455238, -0.494004, 0.000000, 0.000000, 0.000000, 0.000000], [0.573185, -0.231546, -0.369366, 0.375588, -0.146985, 0.564573, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.083054, 14.917447, 15.576468, 16.207423, 98.580346], [27.918865, 28.882690, 30.802966, 37.240781, 105.326643], [8.790392, 9.334493, 9.793189, 11.291885, 90.077619], [16.272943, 16.416028, 16.922075, 17.863149, 162.721710], [38.607252, 39.340801, 43.875127, 48.492165, 176.866305], [34.979044, 35.475798, 38.916684, 39.985075, 186.631287]]
### 4
mean: [0.594054, 0.860370, -0.351161, 3.552581, -1.773178, 2.695753]
std: [0.791882, 1.157936, 0.263611, 3.619235, 0.996781, 2.812722]
pca: [[-0.136128, -0.654529, 0.016591, 0.037774, 0.725052, -0.160183, 0.000000, 0.000000, 0.000000, 0.000000], [0.237487, 0.111562, 0.574661, -0.372066, 0.287672, 0.616223, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050196, -0.122101, -0.451362, 0.481063, 0.028950, 0.739313, 0.000000, 0.000000, 0.000000, 0.000000], [0.745117, 0.069947, -0.542566, -0.305868, 0.214056, -0.078460, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179120, 0.730641, -0.054690, 0.269405, 0.585960, -0.123126, 0.000000, 0.000000, 0.000000, 0.000000], [0.579022, -0.074211, 0.410358, 0.680135, -0.039213, -0.163435, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.106413, 12.918968, 13.718943, 17.981613, 53.464845], [16.851368, 18.223994, 19.796061, 24.122827, 77.433319], [4.130956, 4.147947, 4.183628, 5.556798, 31.604491], [52.719444, 56.590012, 62.124826, 75.495987, 319.732256], [15.010757, 15.096281, 17.723080, 17.980986, 159.586037], [42.095795, 44.443880, 48.700244, 57.066913, 242.617738]]
### 6
mean: [-1.810947, 3.663973, -1.500603, -0.987779, -1.722086, -1.887339]
std: [1.675155, 3.802116, 1.233286, 0.671686, 1.000999, 0.984367]
pca: [[-0.364553, 0.159525, 0.751176, 0.079131, 0.118111, 0.507125, 0.000000, 0.000000, 0.000000, 0.000000], [0.827647, 0.321777, 0.143633, 0.287363, 0.281314, 0.170630, 0.000000, 0.000000, 0.000000, 0.000000], [-0.267572, -0.303849, -0.215521, 0.735490, 0.498614, -0.008421, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143520, 0.373363, -0.585928, 0.058501, -0.177573, 0.679512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215199, 0.465001, -0.138142, -0.412563, 0.713386, -0.198124, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208802, 0.650431, 0.079125, 0.443379, -0.343287, -0.461139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.932494, 26.067203, 28.591015, 34.453159, 162.985204], [55.937761, 59.117285, 63.863674, 80.567787, 329.757586], [18.507946, 19.083442, 20.678063, 26.486986, 135.054314], [10.185755, 10.423243, 11.585426, 12.864396, 88.900110], [15.332232, 15.518841, 17.250180, 19.577828, 154.987720], [14.867201, 15.735107, 17.263041, 18.134797, 169.860497]]
### 8
mean: [-0.857024, 2.581049, 1.394074, -0.612640, 0.993316, 1.478938]
std: [0.615769, 2.602542, 1.379310, 0.222824, 1.066519, 1.591674]
pca: [[-0.172278, 0.173742, 0.782835, -0.427209, 0.380520, -0.000834, 0.000000, 0.000000, 0.000000, 0.000000], [0.728132, -0.018926, 0.240535, 0.076736, -0.071784, -0.632904, 0.000000, 0.000000, 0.000000, 0.000000], [0.385899, 0.837213, -0.151501, -0.050611, 0.048076, 0.349759, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062341, 0.070635, 0.274163, 0.880045, 0.363731, 0.095809, 0.000000, 0.000000, 0.000000, 0.000000], [0.298388, -0.302584, -0.359050, -0.185909, 0.803419, 0.102212, 0.000000, 0.000000, 0.000000, 0.000000], [0.445314, -0.414710, 0.319810, 0.000884, -0.264497, 0.676368, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.059140, 9.637174, 10.211467, 13.032718, 77.132144], [38.279648, 40.716110, 43.162728, 55.069049, 232.294399], [20.277840, 21.565340, 22.880877, 29.173866, 125.466653], [3.277912, 3.486640, 3.695216, 4.715425, 55.137602], [15.685459, 16.683713, 17.688930, 22.565770, 89.398419], [23.410712, 24.901413, 26.398087, 33.679485, 133.104443]]
### 10
mean: [-2.577134]
std: [2.662554]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.126002, 41.651540, 43.976430, 56.337249, 231.942012]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.611525,
0.327971,
0.049206,
-0.076601,
0.162613
],
[
-0.428842,
0.340759,
-0.169624,
0.008235,
0.253394
],
[
-0.241393,
0.260986,
0.192698,
0.355095,
0.28102
],
[
-0.326133,
0.164894,
-0.185436,
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],
[
-0.672002,
0.302967,
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0.259377,
0.39657
],
[
-0.707819,
-0.325572,
0.604789,
0.438896,
0.475712
]
],
"network.0.bias": [
0.243082,
-0.258727,
0.113731,
-0.258986,
0.32545,
0.653205
],
"network.2.weight": [
[
0.423825,
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],
[
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0.024924,
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0.129433,
0.624472,
0.473467
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[
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0.045068,
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[
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],
[
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0.062215,
0.615427,
0.682454
],
[
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0.588876,
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]
],
"network.2.bias": [
0.19462,
0.294544,
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0.049165,
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],
"network.4.weight": [
[
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],
[
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0.096407,
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0.06141,
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0.550975
],
[
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0.251242,
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],
[
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0.638198,
0.651183
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[
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0.033137,
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],
[
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0.180961,
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0.711948
]
],
"network.4.bias": [
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0.039238
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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": [
0.020525,
0.130062,
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-0.38048
],
"network.8.weight": [
[
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],
[
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[
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[
0.051207,
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[
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[
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]
],
"network.8.bias": [
-0.225794,
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],
"network.10.weight": [
[
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-0.282874,
-0.063178,
-0.387075,
-0.419581
]
],
"network.10.bias": [
0.073339
]
}
## Activation Signature
### 0
mean: [1.740800, -0.195605, 1.799503, -1.911338, 0.802196, 1.970336]
std: [1.648629, 1.002019, 1.273275, 1.254428, 1.633773, 2.150209]
pca: [[-0.308065, 0.667753, -0.278506, 0.527097, -0.254215, -0.197940, 0.000000, 0.000000, 0.000000, 0.000000], [0.250339, -0.125924, -0.487224, 0.195954, -0.280400, 0.753037, 0.000000, 0.000000, 0.000000, 0.000000], [0.323630, 0.381556, -0.281921, -0.019620, 0.814291, 0.082124, 0.000000, 0.000000, 0.000000, 0.000000], [-0.073734, -0.593512, -0.139291, 0.691937, 0.299398, -0.233429, 0.000000, 0.000000, 0.000000, 0.000000], [0.508319, -0.099131, -0.524653, -0.208095, -0.284076, -0.576647, 0.000000, 0.000000, 0.000000, 0.000000], [0.688379, 0.174875, 0.557589, 0.401629, -0.152782, -0.000235, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[27.220672, 28.551164, 28.819643, 29.668364, 156.672026], [16.087521, 17.604485, 17.655935, 18.928492, 21.204109], [18.841493, 21.009068, 21.378412, 22.008928, 161.955243], [19.701789, 20.698820, 22.739497, 25.491242, 172.020385], [22.717281, 24.124047, 31.683669, 33.977651, 72.197649], [33.341734, 35.162023, 37.183974, 38.441260, 177.330272]]
### 2
mean: [1.095337, 1.170296, -1.000862, -1.808019, 1.965181, 2.073681]
std: [0.905390, 1.759855, 0.551909, 0.954119, 2.450924, 2.168667]
pca: [[-0.121551, -0.579016, 0.729185, 0.015795, -0.046691, 0.340332, 0.000000, 0.000000, 0.000000, 0.000000], [0.460683, 0.256779, 0.224712, -0.408149, 0.671840, 0.231053, 0.000000, 0.000000, 0.000000, 0.000000], [0.010019, 0.405190, 0.359368, 0.803098, 0.234215, -0.082172, 0.000000, 0.000000, 0.000000, 0.000000], [-0.126211, 0.616661, 0.201534, -0.197944, -0.512590, 0.511130, 0.000000, 0.000000, 0.000000, 0.000000], [0.654542, 0.027218, 0.334069, -0.089166, -0.455238, -0.494004, 0.000000, 0.000000, 0.000000, 0.000000], [0.573185, -0.231546, -0.369366, 0.375588, -0.146985, 0.564573, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.083054, 14.917447, 15.576468, 16.207423, 98.580346], [27.918865, 28.882690, 30.802966, 37.240781, 105.326643], [8.790392, 9.334493, 9.793189, 11.291885, 90.077619], [16.272943, 16.416028, 16.922075, 17.863149, 162.721710], [38.607252, 39.340801, 43.875127, 48.492165, 176.866305], [34.979044, 35.475798, 38.916684, 39.985075, 186.631287]]
### 4
mean: [0.594054, 0.860370, -0.351161, 3.552581, -1.773178, 2.695753]
std: [0.791882, 1.157936, 0.263611, 3.619235, 0.996781, 2.812722]
pca: [[-0.136128, -0.654529, 0.016591, 0.037774, 0.725052, -0.160183, 0.000000, 0.000000, 0.000000, 0.000000], [0.237487, 0.111562, 0.574661, -0.372066, 0.287672, 0.616223, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050196, -0.122101, -0.451362, 0.481063, 0.028950, 0.739313, 0.000000, 0.000000, 0.000000, 0.000000], [0.745117, 0.069947, -0.542566, -0.305868, 0.214056, -0.078460, 0.000000, 0.000000, 0.000000, 0.000000], [-0.179120, 0.730641, -0.054690, 0.269405, 0.585960, -0.123126, 0.000000, 0.000000, 0.000000, 0.000000], [0.579022, -0.074211, 0.410358, 0.680135, -0.039213, -0.163435, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.106413, 12.918968, 13.718943, 17.981613, 53.464845], [16.851368, 18.223994, 19.796061, 24.122827, 77.433319], [4.130956, 4.147947, 4.183628, 5.556798, 31.604491], [52.719444, 56.590012, 62.124826, 75.495987, 319.732256], [15.010757, 15.096281, 17.723080, 17.980986, 159.586037], [42.095795, 44.443880, 48.700244, 57.066913, 242.617738]]
### 6
mean: [-1.810947, 3.663973, -1.500603, -0.987779, -1.722086, -1.887339]
std: [1.675155, 3.802116, 1.233286, 0.671686, 1.000999, 0.984367]
pca: [[-0.364553, 0.159525, 0.751176, 0.079131, 0.118111, 0.507125, 0.000000, 0.000000, 0.000000, 0.000000], [0.827647, 0.321777, 0.143633, 0.287363, 0.281314, 0.170630, 0.000000, 0.000000, 0.000000, 0.000000], [-0.267572, -0.303849, -0.215521, 0.735490, 0.498614, -0.008421, 0.000000, 0.000000, 0.000000, 0.000000], [-0.143520, 0.373363, -0.585928, 0.058501, -0.177573, 0.679512, 0.000000, 0.000000, 0.000000, 0.000000], [-0.215199, 0.465001, -0.138142, -0.412563, 0.713386, -0.198124, 0.000000, 0.000000, 0.000000, 0.000000], [-0.208802, 0.650431, 0.079125, 0.443379, -0.343287, -0.461139, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.932494, 26.067203, 28.591015, 34.453159, 162.985204], [55.937761, 59.117285, 63.863674, 80.567787, 329.757586], [18.507946, 19.083442, 20.678063, 26.486986, 135.054314], [10.185755, 10.423243, 11.585426, 12.864396, 88.900110], [15.332232, 15.518841, 17.250180, 19.577828, 154.987720], [14.867201, 15.735107, 17.263041, 18.134797, 169.860497]]
### 8
mean: [-0.857024, 2.581049, 1.394074, -0.612640, 0.993316, 1.478938]
std: [0.615769, 2.602542, 1.379310, 0.222824, 1.066519, 1.591674]
pca: [[-0.172278, 0.173742, 0.782835, -0.427209, 0.380520, -0.000834, 0.000000, 0.000000, 0.000000, 0.000000], [0.728132, -0.018926, 0.240535, 0.076736, -0.071784, -0.632904, 0.000000, 0.000000, 0.000000, 0.000000], [0.385899, 0.837213, -0.151501, -0.050611, 0.048076, 0.349759, 0.000000, 0.000000, 0.000000, 0.000000], [-0.062341, 0.070635, 0.274163, 0.880045, 0.363731, 0.095809, 0.000000, 0.000000, 0.000000, 0.000000], [0.298388, -0.302584, -0.359050, -0.185909, 0.803419, 0.102212, 0.000000, 0.000000, 0.000000, 0.000000], [0.445314, -0.414710, 0.319810, 0.000884, -0.264497, 0.676368, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.059140, 9.637174, 10.211467, 13.032718, 77.132144], [38.279648, 40.716110, 43.162728, 55.069049, 232.294399], [20.277840, 21.565340, 22.880877, 29.173866, 125.466653], [3.277912, 3.486640, 3.695216, 4.715425, 55.137602], [15.685459, 16.683713, 17.688930, 22.565770, 89.398419], [23.410712, 24.901413, 26.398087, 33.679485, 133.104443]]
### 10
mean: [-2.577134]
std: [2.662554]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.126002, 41.651540, 43.976430, 56.337249, 231.942012]]
## 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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9,952
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{"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": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8932, "learning_rate": 0.03582577053771972, "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: [-0.238923, 1.281029, 0.182184, -1.128914, -0.735242, 3.456809]
std: [1.068898, 1.282713, 1.633894, 0.915310, 1.116977, 2.346261]
pca: [[0.140075, 0.317173, -0.185462, 0.808449, -0.435445, 0.046706, 0.000000, 0.000000, 0.000000, 0.000000], [0.074822, 0.508302, 0.601219, -0.018778, 0.166517, 0.588631, 0.000000, 0.000000, 0.000000, 0.000000], [0.235876, 0.658828, -0.549114, -0.215257, 0.373827, -0.150663, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154301, -0.238202, -0.548595, -0.052384, -0.002575, 0.784693, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324539, -0.141788, 0.018951, 0.532341, 0.766641, -0.055557, 0.000000, 0.000000, 0.000000, 0.000000], [0.888824, -0.360738, 0.036023, 0.116579, 0.234879, 0.099009, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.921165, 18.947081, 20.842356, 21.503046, 24.129836], [20.345440, 20.476523, 24.644426, 29.010684, 115.292563], [22.478734, 23.626375, 24.559107, 26.339375, 33.651275], [12.644834, 17.363729, 18.881549, 19.827933, 101.602242], [17.075733, 17.137268, 17.314307, 17.465878, 66.171762], [37.364643, 39.074224, 39.109756, 48.380168, 311.112834]]
### 2
mean: [-3.095823, 0.689371, 0.065101, -1.451170, -1.936039, 1.310132]
std: [1.589775, 0.522972, 0.740794, 1.345222, 1.346949, 1.088088]
pca: [[0.471939, 0.803603, -0.322363, 0.149488, 0.066051, 0.029467, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178899, -0.091676, -0.426151, -0.257332, 0.830859, 0.146423, 0.000000, 0.000000, 0.000000, 0.000000], [0.209461, 0.173675, 0.819389, -0.066296, 0.414726, 0.279593, 0.000000, 0.000000, 0.000000, 0.000000], [0.504176, -0.395022, 0.005710, 0.503623, 0.310195, -0.489770, 0.000000, 0.000000, 0.000000, 0.000000], [0.504620, -0.391272, -0.207047, -0.003781, -0.169065, 0.721664, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438816, 0.080730, -0.013373, 0.808324, 0.092249, 0.372620, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.911745, 26.947307, 27.942536, 30.335726, 278.624084], [7.747503, 9.054682, 9.683655, 9.871009, 62.043346], [10.269277, 10.595302, 12.892844, 14.222830, 15.111838], [20.343787, 20.467289, 23.228328, 24.836356, 130.605287], [20.754671, 21.151593, 23.234836, 25.734175, 174.243505], [17.128896, 17.364619, 18.359073, 22.209184, 117.911880]]
### 4
mean: [0.419407, 1.077771, -0.148226, -0.540699, 0.153132, -0.640865]
std: [0.619611, 0.852482, 0.580895, 0.634111, 0.301578, 0.092977]
pca: [[0.442420, -0.465131, -0.551070, 0.409398, 0.205676, 0.272635, 0.000000, 0.000000, 0.000000, 0.000000], [0.621581, 0.000989, 0.712566, 0.065858, 0.299691, 0.108324, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421755, 0.259508, 0.146015, 0.353175, 0.174220, 0.760508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456743, -0.411431, 0.217525, 0.351814, 0.511474, -0.435218, 0.000000, 0.000000, 0.000000, 0.000000], [0.175776, 0.684806, -0.179006, 0.564097, 0.072300, -0.380353, 0.000000, 0.000000, 0.000000, 0.000000], [0.022641, 0.279415, -0.296464, -0.511220, 0.755445, 0.038479, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.519368, 10.140342, 10.181305, 11.998563, 37.746663], [13.603130, 13.887588, 14.308503, 15.109398, 96.999390], [9.087548, 9.510660, 9.801739, 10.462640, 13.340309], [9.642464, 10.783568, 11.370745, 11.992653, 48.662952], [4.338723, 4.426286, 6.437202, 7.233899, 13.781879], [1.425154, 1.439960, 1.542179, 1.770535, 57.677831]]
### 6
mean: [-0.566881, 0.814952, 0.551996, 0.952706, 1.290775, -0.422684]
std: [0.613200, 0.678843, 0.330033, 0.702139, 0.826970, 0.671537]
pca: [[-0.383130, 0.049577, -0.341319, 0.020602, 0.205030, 0.831741, 0.000000, 0.000000, 0.000000, 0.000000], [0.422753, 0.504427, -0.491119, 0.069266, -0.557724, 0.098897, 0.000000, 0.000000, 0.000000, 0.000000], [0.202866, -0.538521, 0.114591, 0.714111, -0.304722, 0.229999, 0.000000, 0.000000, 0.000000, 0.000000], [0.438527, 0.011419, 0.595549, -0.433511, -0.148122, 0.492965, 0.000000, 0.000000, 0.000000, 0.000000], [0.516384, 0.309131, 0.021384, 0.369796, 0.706083, 0.045000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417586, 0.597828, 0.523485, 0.400178, -0.183185, 0.022076, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.861331, 10.022059, 10.145353, 10.876433, 51.019292], [10.988835, 11.113737, 11.321155, 11.629082, 73.345684], [5.255083, 5.423588, 5.881445, 6.407881, 49.679673], [11.298459, 11.447228, 11.719454, 12.422046, 85.743551], [13.535330, 13.615304, 13.791608, 13.838690, 116.169714], [10.793576, 11.001934, 11.196371, 12.403116, 38.041594]]
### 8
mean: [-1.088014]
std: [0.809742]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.063861, 13.357107, 13.391944, 14.230888, 97.921236]]
## 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: [-0.238923, 1.281029, 0.182184, -1.128914, -0.735242, 3.456809]
std: [1.068898, 1.282713, 1.633894, 0.915310, 1.116977, 2.346261]
pca: [[0.140075, 0.317173, -0.185462, 0.808449, -0.435445, 0.046706, 0.000000, 0.000000, 0.000000, 0.000000], [0.074822, 0.508302, 0.601219, -0.018778, 0.166517, 0.588631, 0.000000, 0.000000, 0.000000, 0.000000], [0.235876, 0.658828, -0.549114, -0.215257, 0.373827, -0.150663, 0.000000, 0.000000, 0.000000, 0.000000], [-0.154301, -0.238202, -0.548595, -0.052384, -0.002575, 0.784693, 0.000000, 0.000000, 0.000000, 0.000000], [-0.324539, -0.141788, 0.018951, 0.532341, 0.766641, -0.055557, 0.000000, 0.000000, 0.000000, 0.000000], [0.888824, -0.360738, 0.036023, 0.116579, 0.234879, 0.099009, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.921165, 18.947081, 20.842356, 21.503046, 24.129836], [20.345440, 20.476523, 24.644426, 29.010684, 115.292563], [22.478734, 23.626375, 24.559107, 26.339375, 33.651275], [12.644834, 17.363729, 18.881549, 19.827933, 101.602242], [17.075733, 17.137268, 17.314307, 17.465878, 66.171762], [37.364643, 39.074224, 39.109756, 48.380168, 311.112834]]
### 2
mean: [-3.095823, 0.689371, 0.065101, -1.451170, -1.936039, 1.310132]
std: [1.589775, 0.522972, 0.740794, 1.345222, 1.346949, 1.088088]
pca: [[0.471939, 0.803603, -0.322363, 0.149488, 0.066051, 0.029467, 0.000000, 0.000000, 0.000000, 0.000000], [-0.178899, -0.091676, -0.426151, -0.257332, 0.830859, 0.146423, 0.000000, 0.000000, 0.000000, 0.000000], [0.209461, 0.173675, 0.819389, -0.066296, 0.414726, 0.279593, 0.000000, 0.000000, 0.000000, 0.000000], [0.504176, -0.395022, 0.005710, 0.503623, 0.310195, -0.489770, 0.000000, 0.000000, 0.000000, 0.000000], [0.504620, -0.391272, -0.207047, -0.003781, -0.169065, 0.721664, 0.000000, 0.000000, 0.000000, 0.000000], [-0.438816, 0.080730, -0.013373, 0.808324, 0.092249, 0.372620, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.911745, 26.947307, 27.942536, 30.335726, 278.624084], [7.747503, 9.054682, 9.683655, 9.871009, 62.043346], [10.269277, 10.595302, 12.892844, 14.222830, 15.111838], [20.343787, 20.467289, 23.228328, 24.836356, 130.605287], [20.754671, 21.151593, 23.234836, 25.734175, 174.243505], [17.128896, 17.364619, 18.359073, 22.209184, 117.911880]]
### 4
mean: [0.419407, 1.077771, -0.148226, -0.540699, 0.153132, -0.640865]
std: [0.619611, 0.852482, 0.580895, 0.634111, 0.301578, 0.092977]
pca: [[0.442420, -0.465131, -0.551070, 0.409398, 0.205676, 0.272635, 0.000000, 0.000000, 0.000000, 0.000000], [0.621581, 0.000989, 0.712566, 0.065858, 0.299691, 0.108324, 0.000000, 0.000000, 0.000000, 0.000000], [-0.421755, 0.259508, 0.146015, 0.353175, 0.174220, 0.760508, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456743, -0.411431, 0.217525, 0.351814, 0.511474, -0.435218, 0.000000, 0.000000, 0.000000, 0.000000], [0.175776, 0.684806, -0.179006, 0.564097, 0.072300, -0.380353, 0.000000, 0.000000, 0.000000, 0.000000], [0.022641, 0.279415, -0.296464, -0.511220, 0.755445, 0.038479, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.519368, 10.140342, 10.181305, 11.998563, 37.746663], [13.603130, 13.887588, 14.308503, 15.109398, 96.999390], [9.087548, 9.510660, 9.801739, 10.462640, 13.340309], [9.642464, 10.783568, 11.370745, 11.992653, 48.662952], [4.338723, 4.426286, 6.437202, 7.233899, 13.781879], [1.425154, 1.439960, 1.542179, 1.770535, 57.677831]]
### 6
mean: [-0.566881, 0.814952, 0.551996, 0.952706, 1.290775, -0.422684]
std: [0.613200, 0.678843, 0.330033, 0.702139, 0.826970, 0.671537]
pca: [[-0.383130, 0.049577, -0.341319, 0.020602, 0.205030, 0.831741, 0.000000, 0.000000, 0.000000, 0.000000], [0.422753, 0.504427, -0.491119, 0.069266, -0.557724, 0.098897, 0.000000, 0.000000, 0.000000, 0.000000], [0.202866, -0.538521, 0.114591, 0.714111, -0.304722, 0.229999, 0.000000, 0.000000, 0.000000, 0.000000], [0.438527, 0.011419, 0.595549, -0.433511, -0.148122, 0.492965, 0.000000, 0.000000, 0.000000, 0.000000], [0.516384, 0.309131, 0.021384, 0.369796, 0.706083, 0.045000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417586, 0.597828, 0.523485, 0.400178, -0.183185, 0.022076, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.861331, 10.022059, 10.145353, 10.876433, 51.019292], [10.988835, 11.113737, 11.321155, 11.629082, 73.345684], [5.255083, 5.423588, 5.881445, 6.407881, 49.679673], [11.298459, 11.447228, 11.719454, 12.422046, 85.743551], [13.535330, 13.615304, 13.791608, 13.838690, 116.169714], [10.793576, 11.001934, 11.196371, 12.403116, 38.041594]]
### 8
mean: [-1.088014]
std: [0.809742]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[13.063861, 13.357107, 13.391944, 14.230888, 97.921236]]
## 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": [[0.44139, -0.386155, 0.217768, -0.007251, -0.050248], [0.077243, -0.032622, 0.118209, -0.080703, 0.640137], [0.259741, 0.236662, 0.282699, -0.606653, 0.208712], [-0.118837, 0.005181, -0.08616, -0.119692, -0.385644], [-0.435431, -0.285555, 0.210349, 0.029718, -0.089573], [0.425312, 0.534945, 0.425572, 0.525357, -0.4583]], "network.0.bias": [-0.461921, 0.380987, -0.119305, -0.07819, -0.065679, 0.502408], "network.2.weight": [[-0.327953, -0.324089, -0.644282, 0.591361, 0.238008, -0.407569], [0.376474, -0.224963, 0.186903, -0.006035, 0.068202, 0.109903], [-0.347144, 0.389237, -0.497642, 0.149275, -0.374886, -0.082124], [-0.178873, 0.23566, 0.398767, 0.513945, -0.466394, -0.530841], [0.03877, 0.174326, 0.362848, 0.038335, -0.113343, -0.557548], [-0.155088, -0.175401, 0.159202, -0.609846, -0.225886, 0.428204]], "network.2.bias": [-0.745287, 0.379904, 0.30685, -0.097124, -0.486768, -0.091557], "network.4.weight": [[0.380923, 0.106713, -0.268077, -0.113526, -0.213872, 0.449326], [0.323122, 0.262064, -0.624846, 0.517834, 0.382309, 0.50137], [-0.061478, -0.289439, 0.196719, 0.083043, -0.269923, -0.361776], [0.153942, -0.505436, 0.542487, -0.058491, -0.566029, -0.196304], [0.130785, 0.156082, -0.595824, 0.122921, 0.451794, -0.054348], [0.562038, 0.241805, -0.057392, -0.127468, 0.10886, -0.117642]], "network.4.bias": [-0.146929, 0.452357, 0.418842, -0.132216, 0.278379, -0.597152], "network.6.weight": [[-0.132166, -0.518936, 0.199395, 0.307604, -0.356779, 0.262003], [0.135113, 0.727309, 0.13501, -0.446733, -0.095134, -0.367452], [0.275552, 0.052772, -0.171153, -0.411968, 0.508477, 0.166271], [0.027943, 0.679796, -0.280739, -0.23787, 0.331308, -0.289589], [0.420199, 0.599448, -0.202317, -0.354971, 0.401917, 0.232431], [-0.015234, -0.598821, 0.406144, 0.653273, 0.047708, -0.477966]], "network.6.bias": [0.09977, -0.050516, 0.346597, 0.170166, 0.504059, 0.114311], "network.8.weight": [[0.318883, -0.30076, -0.248675, -0.266863, -0.313261, 0.365888]], "network.8.bias": [-0.135914]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885558068752289, "train_acc": 0.575, "val_loss": 0.7062791585922241, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6816399097442627, "train_acc": 0.575, "val_loss": 0.7064010500907898, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6738300323486328, "train_acc": 0.575, "val_loss": 0.6867680549621582, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.626079648733139, "train_acc": 0.575, "val_loss": 0.6186391115188599, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5253231376409531, "train_acc": 0.64, "val_loss": 0.45489147305488586, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.3394845873117447, "train_acc": 0.915, "val_loss": 0.33589285612106323, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.20694398880004883, "train_acc": 0.93, "val_loss": 0.32844042778015137, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.19051069021224976, "train_acc": 0.935, "val_loss": 0.7831293344497681, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2459130957722664, "train_acc": 0.895, "val_loss": 0.536635160446167, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3002384305000305, "train_acc": 0.935, "val_loss": 0.5958518981933594, "val_acc": 0.84}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7062791585922241, "final_val_loss": 0.6186391115188599, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.45489147305488586, "final_val_loss": 0.5958518981933594, "initial_val_acc": 0.88, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 4}, "improvement": 0.42, "first_improvement_epoch": 3}}
|
9,953
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2970, "learning_rate": 0.052768030072870314, "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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[
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],
[
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],
[
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0.187542
],
[
0.180438,
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],
[
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],
[
-0.50633,
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],
[
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0.364989,
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]
],
"network.0.bias": [
0.165292,
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0.239951,
0.574329,
-0.265649,
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## Activation Signature
### 0
mean: [0.299481, 2.096679, 1.320732, -1.007442, -0.459319, -1.213691, 2.824012]
std: [1.750857, 2.231945, 1.641885, 1.907981, 1.913727, 2.071345, 2.415878]
pca: [[-0.324421, 0.099832, -0.344784, -0.601562, 0.424393, -0.304168, -0.362498, 0.000000, 0.000000, 0.000000], [0.514957, 0.121584, -0.188558, -0.401030, -0.343275, 0.495590, -0.400262, 0.000000, 0.000000, 0.000000], [0.295784, 0.121605, -0.279474, 0.621193, 0.473999, 0.018497, -0.456860, 0.000000, 0.000000, 0.000000], [-0.074153, 0.566893, 0.660801, -0.107005, 0.359993, 0.302821, -0.061082, 0.000000, 0.000000, 0.000000], [0.003293, 0.740877, -0.482365, 0.065545, -0.138195, -0.057791, 0.437814, 0.000000, 0.000000, 0.000000], [-0.468434, -0.205982, -0.309685, 0.063676, 0.210941, 0.752144, 0.167225, 0.000000, 0.000000, 0.000000], [0.563154, -0.218562, -0.047181, -0.267612, 0.533094, 0.027733, 0.525631, 0.000000, 0.000000, 0.000000]]
fourier: [[26.939276, 26.953320, 29.102655, 31.161095, 31.589666], [39.859032, 40.633295, 46.063883, 47.377283, 188.701137], [24.419902, 25.934791, 29.417939, 31.516423, 118.865854], [27.937281, 29.196213, 34.701385, 35.204490, 90.669804], [29.544100, 31.615546, 33.210407, 34.437759, 41.338720], [33.638243, 36.245111, 40.346768, 45.114998, 109.232192], [33.437819, 47.588905, 50.193816, 50.369770, 254.161060]]
### 2
mean: [-1.757224, 3.535473, -1.268846, -1.548593, -0.317206, 3.647687, 2.834016]
std: [1.013761, 3.801172, 2.793088, 0.758800, 0.573324, 3.526955, 3.042683]
pca: [[-0.121298, -0.112506, 0.644834, 0.294654, -0.549290, -0.143339, 0.384359, 0.000000, 0.000000, 0.000000], [0.561315, 0.691604, 0.374299, 0.074848, 0.100887, -0.103359, -0.200118, 0.000000, 0.000000, 0.000000], [-0.408918, 0.556437, -0.307758, 0.527385, 0.058195, 0.222620, 0.312038, 0.000000, 0.000000, 0.000000], [-0.094639, -0.026033, 0.434826, -0.218399, 0.263755, 0.822762, 0.084206, 0.000000, 0.000000, 0.000000], [0.035258, -0.342275, 0.239242, 0.526128, 0.704997, -0.222698, 0.030696, 0.000000, 0.000000, 0.000000], [0.533424, -0.072425, -0.231876, -0.138349, 0.096061, 0.033054, 0.791825, 0.000000, 0.000000, 0.000000], [0.456353, -0.276277, -0.222032, 0.534596, -0.330001, 0.437707, -0.282550, 0.000000, 0.000000, 0.000000]]
fourier: [[14.809496, 14.829926, 18.324657, 22.022627, 158.150201], [64.443056, 72.162136, 74.600919, 83.464339, 318.192563], [47.169415, 47.339767, 52.090759, 53.352485, 114.196169], [11.782275, 12.506016, 14.596973, 15.910439, 139.373328], [8.256451, 8.977626, 10.901931, 11.950555, 28.548582], [56.783013, 67.407466, 70.954382, 74.436500, 328.291830], [47.075677, 59.943589, 61.212764, 66.012102, 255.061438]]
### 4
mean: [2.009223, 5.972407, 7.158910, -3.209519, -2.795284, -1.432306, -2.082834]
std: [2.303658, 6.059364, 7.294658, 2.269147, 4.296700, 1.233326, 1.417328]
pca: [[0.208057, -0.204081, 0.150945, 0.926989, 0.122540, -0.133710, -0.008748, 0.000000, 0.000000, 0.000000], [0.549940, -0.010397, -0.062530, -0.115913, 0.579683, 0.543145, -0.221523, 0.000000, 0.000000, 0.000000], [0.662051, -0.004480, -0.150351, -0.064528, -0.422968, -0.006746, 0.596617, 0.000000, 0.000000, 0.000000], [-0.196485, 0.707508, -0.377951, 0.341306, -0.140626, 0.420479, 0.070074, 0.000000, 0.000000, 0.000000], [-0.386348, -0.608369, -0.337433, 0.066050, 0.070783, 0.442972, 0.401451, 0.000000, 0.000000, 0.000000], [-0.109468, 0.270185, -0.032495, -0.046555, 0.664175, -0.371214, 0.576944, 0.000000, 0.000000, 0.000000], [-0.126933, 0.120588, 0.832428, -0.008533, -0.064301, 0.419812, 0.309776, 0.000000, 0.000000, 0.000000]]
fourier: [[40.562641, 43.371292, 45.396643, 51.993894, 180.830125], [101.526584, 115.900010, 120.315407, 131.667772, 537.516579], [122.178936, 139.840921, 144.917112, 158.509469, 644.301874], [40.169866, 41.265165, 46.335788, 51.262982, 288.856745], [69.424227, 80.883088, 82.304216, 88.511801, 251.575531], [21.957555, 22.935609, 25.137027, 27.950709, 128.907558], [22.051492, 28.606982, 28.628601, 31.471010, 187.455041]]
### 6
mean: [-3.992310, 7.517536, 5.942360, -0.590998, -4.227419, -2.148347, -3.154932]
std: [3.679497, 8.121763, 6.499023, 0.237984, 3.880905, 3.491390, 2.854036]
pca: [[-0.293262, 0.327859, -0.504377, 0.405858, 0.120792, -0.508156, -0.338490, 0.000000, 0.000000, 0.000000], [0.649500, 0.039262, 0.277569, 0.257703, 0.328272, 0.037978, -0.569164, 0.000000, 0.000000, 0.000000], [0.519225, 0.317674, -0.235216, 0.358175, 0.011557, -0.016983, 0.667421, 0.000000, 0.000000, 0.000000], [-0.018214, 0.062557, -0.346452, 0.298717, -0.466080, 0.703747, -0.272035, 0.000000, 0.000000, 0.000000], [-0.306474, 0.676315, 0.199886, -0.108356, 0.476110, 0.409949, 0.047298, 0.000000, 0.000000, 0.000000], [-0.276370, -0.549056, -0.008202, 0.523555, 0.510577, 0.226747, 0.189409, 0.000000, 0.000000, 0.000000], [-0.227847, 0.165143, 0.673188, 0.515262, -0.415827, -0.159104, 0.062533, 0.000000, 0.000000, 0.000000]]
fourier: [[61.739880, 71.819245, 73.250303, 81.452093, 359.307888], [136.241874, 156.087353, 160.507051, 176.258709, 676.578236], [108.462699, 123.813451, 127.921866, 139.253811, 534.812370], [4.334959, 4.390495, 4.641786, 5.475287, 53.189804], [62.645528, 77.552031, 77.948583, 86.163409, 380.467749], [58.603104, 63.821221, 67.394863, 72.450248, 193.351275], [46.003947, 56.395893, 57.120242, 62.108256, 283.943950]]
### 8
mean: [6.331500, -3.587602, 5.478411, -6.346503, 1.584921, -3.866808, 4.576004]
std: [7.061720, 2.867029, 5.716586, 5.938601, 0.719247, 3.355803, 5.249091]
pca: [[0.550151, -0.344343, 0.069817, -0.252568, 0.439530, 0.502400, -0.253978, 0.000000, 0.000000, 0.000000], [-0.222527, -0.283710, 0.914958, 0.035757, -0.058182, 0.068440, 0.153280, 0.000000, 0.000000, 0.000000], [0.445856, 0.062398, -0.009779, 0.577586, 0.080576, 0.112773, 0.666639, 0.000000, 0.000000, 0.000000], [-0.461856, -0.453817, -0.282443, -0.170999, 0.516268, -0.078102, 0.446197, 0.000000, 0.000000, 0.000000], [-0.001260, 0.722278, 0.211148, -0.469286, 0.354443, 0.067046, 0.288748, 0.000000, 0.000000, 0.000000], [-0.261745, 0.009727, -0.181979, -0.163976, -0.470745, 0.769450, 0.240283, 0.000000, 0.000000, 0.000000], [0.408908, -0.263275, -0.020202, -0.570058, -0.427987, -0.357133, 0.356917, 0.000000, 0.000000, 0.000000]]
fourier: [[116.983557, 136.223738, 138.616252, 153.154867, 569.835016], [46.885163, 56.754549, 57.353443, 63.563682, 322.884149], [94.757614, 112.018152, 112.721682, 125.372662, 493.056992], [98.286091, 117.453467, 117.846319, 131.282695, 571.185282], [11.569540, 12.684049, 13.683066, 13.814124, 142.642858], [55.717513, 65.495003, 66.106853, 73.419105, 348.012680], [86.922737, 101.231082, 103.024408, 113.811846, 411.840346]]
### 10
mean: [-2.740631]
std: [4.686809]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.484517, 89.424036, 91.351223, 100.731758, 246.656836]]
## 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:
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],
[
-0.481302,
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0.197339,
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0.073855
],
[
0.345316,
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0.069894,
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0.871212,
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],
[
0.008675,
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0.071868,
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[
0.169715,
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0.128859,
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]
],
"network.8.bias": [
-0.090903,
-0.456931,
-0.103747,
-0.161342,
0.828761,
-0.655003,
-0.194209
],
"network.10.weight": [
[
-0.270388,
-0.030727,
-0.314033,
0.239841,
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-0.099768,
-0.206561
]
],
"network.10.bias": [
0.640732
]
}
## Activation Signature
### 0
mean: [0.299481, 2.096679, 1.320732, -1.007442, -0.459319, -1.213691, 2.824012]
std: [1.750857, 2.231945, 1.641885, 1.907981, 1.913727, 2.071345, 2.415878]
pca: [[-0.324421, 0.099832, -0.344784, -0.601562, 0.424393, -0.304168, -0.362498, 0.000000, 0.000000, 0.000000], [0.514957, 0.121584, -0.188558, -0.401030, -0.343275, 0.495590, -0.400262, 0.000000, 0.000000, 0.000000], [0.295784, 0.121605, -0.279474, 0.621193, 0.473999, 0.018497, -0.456860, 0.000000, 0.000000, 0.000000], [-0.074153, 0.566893, 0.660801, -0.107005, 0.359993, 0.302821, -0.061082, 0.000000, 0.000000, 0.000000], [0.003293, 0.740877, -0.482365, 0.065545, -0.138195, -0.057791, 0.437814, 0.000000, 0.000000, 0.000000], [-0.468434, -0.205982, -0.309685, 0.063676, 0.210941, 0.752144, 0.167225, 0.000000, 0.000000, 0.000000], [0.563154, -0.218562, -0.047181, -0.267612, 0.533094, 0.027733, 0.525631, 0.000000, 0.000000, 0.000000]]
fourier: [[26.939276, 26.953320, 29.102655, 31.161095, 31.589666], [39.859032, 40.633295, 46.063883, 47.377283, 188.701137], [24.419902, 25.934791, 29.417939, 31.516423, 118.865854], [27.937281, 29.196213, 34.701385, 35.204490, 90.669804], [29.544100, 31.615546, 33.210407, 34.437759, 41.338720], [33.638243, 36.245111, 40.346768, 45.114998, 109.232192], [33.437819, 47.588905, 50.193816, 50.369770, 254.161060]]
### 2
mean: [-1.757224, 3.535473, -1.268846, -1.548593, -0.317206, 3.647687, 2.834016]
std: [1.013761, 3.801172, 2.793088, 0.758800, 0.573324, 3.526955, 3.042683]
pca: [[-0.121298, -0.112506, 0.644834, 0.294654, -0.549290, -0.143339, 0.384359, 0.000000, 0.000000, 0.000000], [0.561315, 0.691604, 0.374299, 0.074848, 0.100887, -0.103359, -0.200118, 0.000000, 0.000000, 0.000000], [-0.408918, 0.556437, -0.307758, 0.527385, 0.058195, 0.222620, 0.312038, 0.000000, 0.000000, 0.000000], [-0.094639, -0.026033, 0.434826, -0.218399, 0.263755, 0.822762, 0.084206, 0.000000, 0.000000, 0.000000], [0.035258, -0.342275, 0.239242, 0.526128, 0.704997, -0.222698, 0.030696, 0.000000, 0.000000, 0.000000], [0.533424, -0.072425, -0.231876, -0.138349, 0.096061, 0.033054, 0.791825, 0.000000, 0.000000, 0.000000], [0.456353, -0.276277, -0.222032, 0.534596, -0.330001, 0.437707, -0.282550, 0.000000, 0.000000, 0.000000]]
fourier: [[14.809496, 14.829926, 18.324657, 22.022627, 158.150201], [64.443056, 72.162136, 74.600919, 83.464339, 318.192563], [47.169415, 47.339767, 52.090759, 53.352485, 114.196169], [11.782275, 12.506016, 14.596973, 15.910439, 139.373328], [8.256451, 8.977626, 10.901931, 11.950555, 28.548582], [56.783013, 67.407466, 70.954382, 74.436500, 328.291830], [47.075677, 59.943589, 61.212764, 66.012102, 255.061438]]
### 4
mean: [2.009223, 5.972407, 7.158910, -3.209519, -2.795284, -1.432306, -2.082834]
std: [2.303658, 6.059364, 7.294658, 2.269147, 4.296700, 1.233326, 1.417328]
pca: [[0.208057, -0.204081, 0.150945, 0.926989, 0.122540, -0.133710, -0.008748, 0.000000, 0.000000, 0.000000], [0.549940, -0.010397, -0.062530, -0.115913, 0.579683, 0.543145, -0.221523, 0.000000, 0.000000, 0.000000], [0.662051, -0.004480, -0.150351, -0.064528, -0.422968, -0.006746, 0.596617, 0.000000, 0.000000, 0.000000], [-0.196485, 0.707508, -0.377951, 0.341306, -0.140626, 0.420479, 0.070074, 0.000000, 0.000000, 0.000000], [-0.386348, -0.608369, -0.337433, 0.066050, 0.070783, 0.442972, 0.401451, 0.000000, 0.000000, 0.000000], [-0.109468, 0.270185, -0.032495, -0.046555, 0.664175, -0.371214, 0.576944, 0.000000, 0.000000, 0.000000], [-0.126933, 0.120588, 0.832428, -0.008533, -0.064301, 0.419812, 0.309776, 0.000000, 0.000000, 0.000000]]
fourier: [[40.562641, 43.371292, 45.396643, 51.993894, 180.830125], [101.526584, 115.900010, 120.315407, 131.667772, 537.516579], [122.178936, 139.840921, 144.917112, 158.509469, 644.301874], [40.169866, 41.265165, 46.335788, 51.262982, 288.856745], [69.424227, 80.883088, 82.304216, 88.511801, 251.575531], [21.957555, 22.935609, 25.137027, 27.950709, 128.907558], [22.051492, 28.606982, 28.628601, 31.471010, 187.455041]]
### 6
mean: [-3.992310, 7.517536, 5.942360, -0.590998, -4.227419, -2.148347, -3.154932]
std: [3.679497, 8.121763, 6.499023, 0.237984, 3.880905, 3.491390, 2.854036]
pca: [[-0.293262, 0.327859, -0.504377, 0.405858, 0.120792, -0.508156, -0.338490, 0.000000, 0.000000, 0.000000], [0.649500, 0.039262, 0.277569, 0.257703, 0.328272, 0.037978, -0.569164, 0.000000, 0.000000, 0.000000], [0.519225, 0.317674, -0.235216, 0.358175, 0.011557, -0.016983, 0.667421, 0.000000, 0.000000, 0.000000], [-0.018214, 0.062557, -0.346452, 0.298717, -0.466080, 0.703747, -0.272035, 0.000000, 0.000000, 0.000000], [-0.306474, 0.676315, 0.199886, -0.108356, 0.476110, 0.409949, 0.047298, 0.000000, 0.000000, 0.000000], [-0.276370, -0.549056, -0.008202, 0.523555, 0.510577, 0.226747, 0.189409, 0.000000, 0.000000, 0.000000], [-0.227847, 0.165143, 0.673188, 0.515262, -0.415827, -0.159104, 0.062533, 0.000000, 0.000000, 0.000000]]
fourier: [[61.739880, 71.819245, 73.250303, 81.452093, 359.307888], [136.241874, 156.087353, 160.507051, 176.258709, 676.578236], [108.462699, 123.813451, 127.921866, 139.253811, 534.812370], [4.334959, 4.390495, 4.641786, 5.475287, 53.189804], [62.645528, 77.552031, 77.948583, 86.163409, 380.467749], [58.603104, 63.821221, 67.394863, 72.450248, 193.351275], [46.003947, 56.395893, 57.120242, 62.108256, 283.943950]]
### 8
mean: [6.331500, -3.587602, 5.478411, -6.346503, 1.584921, -3.866808, 4.576004]
std: [7.061720, 2.867029, 5.716586, 5.938601, 0.719247, 3.355803, 5.249091]
pca: [[0.550151, -0.344343, 0.069817, -0.252568, 0.439530, 0.502400, -0.253978, 0.000000, 0.000000, 0.000000], [-0.222527, -0.283710, 0.914958, 0.035757, -0.058182, 0.068440, 0.153280, 0.000000, 0.000000, 0.000000], [0.445856, 0.062398, -0.009779, 0.577586, 0.080576, 0.112773, 0.666639, 0.000000, 0.000000, 0.000000], [-0.461856, -0.453817, -0.282443, -0.170999, 0.516268, -0.078102, 0.446197, 0.000000, 0.000000, 0.000000], [-0.001260, 0.722278, 0.211148, -0.469286, 0.354443, 0.067046, 0.288748, 0.000000, 0.000000, 0.000000], [-0.261745, 0.009727, -0.181979, -0.163976, -0.470745, 0.769450, 0.240283, 0.000000, 0.000000, 0.000000], [0.408908, -0.263275, -0.020202, -0.570058, -0.427987, -0.357133, 0.356917, 0.000000, 0.000000, 0.000000]]
fourier: [[116.983557, 136.223738, 138.616252, 153.154867, 569.835016], [46.885163, 56.754549, 57.353443, 63.563682, 322.884149], [94.757614, 112.018152, 112.721682, 125.372662, 493.056992], [98.286091, 117.453467, 117.846319, 131.282695, 571.185282], [11.569540, 12.684049, 13.683066, 13.814124, 142.642858], [55.717513, 65.495003, 66.106853, 73.419105, 348.012680], [86.922737, 101.231082, 103.024408, 113.811846, 411.840346]]
### 10
mean: [-2.740631]
std: [4.686809]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[77.484517, 89.424036, 91.351223, 100.731758, 246.656836]]
## 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": [[-0.233457, 0.445068, 0.357471, -0.078797, -0.781655], [0.56567, 0.247786, 0.004286, -0.078571, 0.860414], [0.723565, -0.345742, -0.235855, 0.499773, 0.187542], [0.180438, -0.717892, 0.364465, -0.442168, -0.252389], [0.846972, 0.124084, -0.224053, -0.176046, -0.509387], [-0.50633, 0.327318, -0.026825, 0.158652, -0.860113], [0.375231, -0.095792, 0.282303, 0.364989, 0.947731]], "network.0.bias": [0.165292, 0.039574, 0.239951, 0.574329, -0.265649, -0.403417, -0.009654], "network.2.weight": [[-0.490239, -0.08912, -0.520007, 0.092964, 0.004274, -0.264479, -0.092142], [-0.519095, 0.335449, 0.471339, -0.366489, 0.454258, -0.209186, 0.909631], [0.48059, -0.695402, -0.460179, 1.095192, -0.688674, 0.203519, 0.033209], [-0.067826, 0.084801, 0.032478, -0.054975, -0.437934, -0.530604, -0.327613], [-0.254269, -0.058108, 0.053626, 0.00896, 0.36519, -0.263418, -0.045855], [-0.005602, 0.52597, 0.672959, -0.843922, 0.776054, -0.213396, 0.478044], [-0.011291, 0.583843, 0.494721, -0.460933, 0.86434, -0.241243, 0.268353]], "network.2.bias": [-0.101121, -0.071428, 0.32948, -0.418162, -0.060552, 0.127207, -0.11305], "network.4.weight": [[-0.149618, 0.439325, 0.009563, 0.227899, 0.270547, -0.15642, 0.407869], [-0.063141, 0.54279, -0.30917, 0.210804, 0.444, 0.769402, 0.414807], [-0.038585, 0.635217, -0.381994, 0.129064, 0.37237, 0.853514, 0.613175], [-0.273815, -0.536171, -0.60602, 0.078253, -0.044075, -0.188067, 0.054094], [-0.041865, -0.147956, 0.918492, 0.246402, -0.346313, -0.764841, -0.205095], [-0.118772, -0.237128, -0.208681, -0.414912, 0.048819, -0.010635, -0.139269], [0.156638, -0.068953, -0.150039, -0.151735, -0.034145, -0.04681, -0.355794]], "network.4.bias": [-0.211114, 0.066518, 0.077753, -0.437599, 0.761437, -0.039624, -0.560171], "network.6.weight": [[-0.40502, -0.314871, -0.131755, -0.293414, -0.143953, 0.064683, 0.09193], [0.413198, 0.426072, 0.617351, -0.058681, -0.391769, -0.215775, 0.157544], [0.05971, 0.287319, 0.60412, -0.190331, -0.566843, 0.188056, -0.362479], [-0.211841, -0.121025, 0.133093, 0.335929, -0.027838, 0.076727, -0.06499], [0.016045, -0.116574, -0.479655, -0.113516, -0.54283, -0.116187, 0.087779], [-0.11052, -0.432649, -0.036427, 0.112125, 0.692856, -0.03336, 0.105701], [0.332109, -0.335564, -0.228475, -0.146628, -0.107214, -0.229187, 0.139547]], "network.6.bias": [-0.231728, -0.187004, -0.015483, -0.375465, 0.188447, 0.615474, -0.100009], "network.8.weight": [[-0.150452, 0.489303, 0.469084, -0.101847, 0.021212, -0.533576, 0.322393], [-0.071625, -0.06894, -0.394889, 0.301753, 0.342205, -0.331012, -0.245333], [0.280436, 0.50513, 0.27383, 0.373783, 0.140976, -0.015033, -0.030766], [-0.481302, -0.756996, -0.021871, 0.197339, -0.063752, -0.447746, 0.073855], [0.345316, 0.334219, -0.361127, 0.069894, -0.405668, 0.871212, -0.270563], [0.008675, -0.338269, -0.102997, 0.20294, 0.343147, 0.071868, 0.126285], [0.169715, 0.342157, 0.375474, -0.00828, 0.128859, -0.403392, -0.008289]], "network.8.bias": [-0.090903, -0.456931, -0.103747, -0.161342, 0.828761, -0.655003, -0.194209], "network.10.weight": [[-0.270388, -0.030727, -0.314033, 0.239841, 0.710113, -0.099768, -0.206561]], "network.10.bias": [0.640732]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6947393119335175, "train_acc": 0.46, "val_loss": 0.6865116953849792, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6927343904972076, "train_acc": 0.555, "val_loss": 0.6694011688232422, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6667929291725159, "train_acc": 0.555, "val_loss": 0.6057850122451782, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6351265907287598, "train_acc": 0.48, "val_loss": 0.45234930515289307, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4993101805448532, "train_acc": 0.82, "val_loss": 0.3878666162490845, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.45080193877220154, "train_acc": 0.825, "val_loss": 0.40278151631355286, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4288293570280075, "train_acc": 0.82, "val_loss": 0.35934555530548096, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.38601216673851013, "train_acc": 0.83, "val_loss": 0.33305203914642334, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.34569236636161804, "train_acc": 0.86, "val_loss": 0.2859925329685211, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32082270085811615, "train_acc": 0.875, "val_loss": 0.2667571008205414, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3053456246852875, "train_acc": 0.87, "val_loss": 0.2692156732082367, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.30704329907894135, "train_acc": 0.855, "val_loss": 0.24305683374404907, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.30267195403575897, "train_acc": 0.88, "val_loss": 0.24370773136615753, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6865116953849792, "final_val_loss": 0.6057850122451782, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.45234930515289307, "final_val_loss": 0.24370773136615753, "initial_val_acc": 0.84, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.32000000000000006, "first_improvement_epoch": 2}}
|
9,954
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.74, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5948, "learning_rate": 0.03682876310202802, "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: 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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"network.2.bias": [
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"network.4.weight": [
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[
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[
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0.196719,
0.023226
],
[
0.022909,
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0.160331,
-0.157435,
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],
[
0.357515,
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0.319634,
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-0.39177,
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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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[
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[
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[
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [2.176408, -0.646588, 1.164163, 0.628117, -1.206670, -1.093993]
std: [2.151515, 0.851102, 1.466134, 1.194855, 0.754424, 1.037992]
pca: [[0.851528, 0.255664, 0.261821, -0.327109, -0.182508, 0.026027, 0.000000, 0.000000, 0.000000, 0.000000], [0.020738, -0.214352, 0.552388, -0.103847, 0.790846, 0.110761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302417, 0.883243, 0.250343, 0.092995, 0.052011, 0.233242, 0.000000, 0.000000, 0.000000, 0.000000], [0.346201, 0.131049, -0.041659, 0.819704, 0.216070, -0.377670, 0.000000, 0.000000, 0.000000, 0.000000], [0.060747, -0.283369, 0.328976, 0.448964, -0.346854, 0.697073, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243864, -0.105358, 0.673561, 0.009171, -0.414190, -0.551459, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.715835, 34.409237, 37.649148, 41.278821, 195.876758], [16.003191, 16.914516, 17.122691, 18.912874, 58.192906], [22.214082, 24.798012, 25.599088, 27.540028, 104.774704], [19.863437, 21.166647, 21.166695, 22.104191, 56.530502], [11.664875, 12.868870, 12.996185, 13.225698, 108.600259], [15.853128, 17.424132, 20.335067, 22.975505, 98.459372]]
### 2
mean: [0.461436, 0.428671, -1.012753, 1.834259, -0.427269, 0.743632]
std: [0.617353, 1.331667, 0.600635, 1.790915, 0.139776, 0.919812]
pca: [[0.170755, -0.191145, 0.856968, 0.002047, -0.210454, -0.394484, 0.000000, 0.000000, 0.000000, 0.000000], [-0.513909, 0.665880, 0.340635, 0.168010, -0.222304, 0.314360, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177600, -0.643642, 0.081832, 0.270935, -0.342872, 0.597093, 0.000000, 0.000000, 0.000000, 0.000000], [0.731979, 0.315246, -0.123182, 0.256334, -0.505800, 0.167665, 0.000000, 0.000000, 0.000000, 0.000000], [0.047445, 0.003008, 0.047219, 0.875650, 0.462796, -0.120696, 0.000000, 0.000000, 0.000000, 0.000000], [0.370342, 0.080016, 0.354223, -0.256696, 0.564549, 0.588525, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.506791, 9.526315, 10.531659, 11.373783, 41.529227], [18.845793, 20.778100, 21.153856, 25.763606, 38.580398], [9.451230, 9.627358, 11.079546, 11.381348, 91.147733], [27.948687, 28.757366, 30.235126, 33.669867, 165.083262], [2.199455, 2.225168, 2.631678, 2.721880, 38.454167], [14.633041, 15.055161, 15.449785, 16.586492, 66.926868]]
### 4
mean: [1.606847, -0.528043, 1.618784, 0.480573, -0.934528, -0.668535]
std: [1.628344, 0.401591, 1.669460, 0.660102, 0.304920, 0.288862]
pca: [[0.675229, -0.039681, 0.165243, -0.084908, -0.043097, 0.711420, 0.000000, 0.000000, 0.000000, 0.000000], [-0.056375, 0.620657, 0.372263, 0.110402, -0.678343, -0.026257, 0.000000, 0.000000, 0.000000, 0.000000], [0.692067, -0.091313, 0.114403, 0.256421, -0.011055, -0.658592, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242150, -0.479531, 0.539236, 0.630096, -0.026018, 0.151461, 0.000000, 0.000000, 0.000000, 0.000000], [0.048769, 0.443580, -0.446764, 0.705723, 0.264424, 0.182471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030261, 0.422088, 0.575025, -0.140658, 0.683575, -0.056674, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.916013, 25.304274, 28.036674, 30.616985, 144.616225], [6.513505, 6.955580, 7.082177, 7.947025, 47.523898], [25.734794, 25.914958, 28.437422, 31.556233, 145.690617], [9.424652, 9.473468, 11.885279, 15.944786, 43.251594], [4.705113, 4.726820, 4.766350, 7.363279, 84.107523], [4.532434, 5.073630, 5.318235, 5.936813, 60.168172]]
### 6
mean: [1.902754, 0.091075, -0.885573, 0.061655, 0.277227, -0.157481]
std: [1.896884, 0.435395, 0.539994, 0.500329, 0.020151, 1.086246]
pca: [[0.811221, 0.461019, -0.047957, 0.297238, -0.058833, 0.187802, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175143, 0.599851, -0.017045, -0.076948, 0.673036, -0.387704, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231313, -0.040856, -0.577211, 0.268786, 0.360829, 0.639694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206439, 0.539414, -0.305959, -0.540440, -0.494664, 0.189833, 0.000000, 0.000000, 0.000000, 0.000000], [-0.002471, 0.074882, 0.673023, -0.330896, 0.259629, 0.603761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.463806, 0.359716, 0.343026, 0.657203, -0.318220, 0.068137, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.030119, 29.934435, 32.124064, 37.292719, 171.247887], [6.270222, 6.809495, 7.922938, 8.196753, 9.953870], [8.061063, 8.397441, 9.518863, 10.474620, 79.701590], [7.134727, 7.226521, 8.299082, 8.796860, 10.992378], [0.261351, 0.281815, 0.316245, 0.473112, 24.950436], [15.863081, 16.241823, 16.966659, 20.126727, 21.073562]]
### 8
mean: [-0.909044, 0.262965, 0.998379, 0.992541, 0.275073, 0.618216]
std: [0.653595, 0.898995, 1.015138, 1.005095, 0.521588, 0.649195]
pca: [[-0.317899, 0.511720, 0.441628, 0.458115, 0.462021, 0.136804, 0.000000, 0.000000, 0.000000, 0.000000], [0.446915, 0.543091, -0.269217, -0.357004, 0.422712, -0.355954, 0.000000, 0.000000, 0.000000, 0.000000], [0.514669, -0.366868, 0.658884, 0.111818, 0.129434, -0.370323, 0.000000, 0.000000, 0.000000, 0.000000], [0.513994, -0.161420, -0.404330, 0.570624, 0.232222, 0.408329, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247895, -0.485407, -0.036059, -0.380126, 0.716854, 0.207974, 0.000000, 0.000000, 0.000000, 0.000000], [0.329668, 0.216625, 0.365481, -0.424345, -0.152616, 0.712359, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.735975, 11.027155, 11.081498, 13.502673, 81.813930], [12.408291, 15.734150, 15.780593, 20.461468, 23.666813], [15.494079, 16.008280, 16.900745, 20.839946, 89.854117], [14.805812, 15.498626, 18.333847, 20.033201, 89.328704], [7.671583, 8.407683, 9.570858, 12.554642, 24.756615], [9.165247, 10.803281, 12.181519, 13.832843, 55.639406]]
### 10
mean: [-0.322667, -0.346428, 0.482463, -0.424674, 1.497078, -0.963139]
std: [0.040076, 0.777260, 0.219294, 0.061854, 1.255667, 0.596008]
pca: [[-0.014234, 0.137301, -0.501538, 0.581939, 0.622809, -0.053491, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487149, 0.110787, 0.592823, -0.166399, 0.604134, 0.079413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074733, 0.854144, 0.127709, 0.263039, -0.307976, 0.290698, 0.000000, 0.000000, 0.000000, 0.000000], [0.028368, -0.193893, -0.218930, -0.167716, 0.104128, 0.935253, 0.000000, 0.000000, 0.000000, 0.000000], [0.787438, -0.049993, 0.506780, 0.259376, 0.204055, 0.108176, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368829, -0.446340, 0.275599, 0.684883, -0.315912, 0.141158, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.597548, 0.631125, 0.678404, 1.028292, 29.040000], [11.671829, 12.192261, 13.563784, 16.625494, 31.178518], [2.951419, 3.380159, 3.917290, 5.630506, 43.421683], [0.948936, 0.951681, 1.097129, 1.592562, 38.220619], [18.798632, 19.709402, 21.374831, 26.694286, 134.736996], [9.129821, 9.745317, 9.756390, 12.961817, 86.682455]]
### 12
mean: [-0.668155]
std: [0.632882]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.403610, 9.534222, 12.278980, 13.461985, 60.133914]]
## 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: 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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]
],
"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.bias": [
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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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0.293768,
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]
],
"network.12.bias": [
-0.196433
]
}
## Activation Signature
### 0
mean: [2.176408, -0.646588, 1.164163, 0.628117, -1.206670, -1.093993]
std: [2.151515, 0.851102, 1.466134, 1.194855, 0.754424, 1.037992]
pca: [[0.851528, 0.255664, 0.261821, -0.327109, -0.182508, 0.026027, 0.000000, 0.000000, 0.000000, 0.000000], [0.020738, -0.214352, 0.552388, -0.103847, 0.790846, 0.110761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.302417, 0.883243, 0.250343, 0.092995, 0.052011, 0.233242, 0.000000, 0.000000, 0.000000, 0.000000], [0.346201, 0.131049, -0.041659, 0.819704, 0.216070, -0.377670, 0.000000, 0.000000, 0.000000, 0.000000], [0.060747, -0.283369, 0.328976, 0.448964, -0.346854, 0.697073, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243864, -0.105358, 0.673561, 0.009171, -0.414190, -0.551459, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.715835, 34.409237, 37.649148, 41.278821, 195.876758], [16.003191, 16.914516, 17.122691, 18.912874, 58.192906], [22.214082, 24.798012, 25.599088, 27.540028, 104.774704], [19.863437, 21.166647, 21.166695, 22.104191, 56.530502], [11.664875, 12.868870, 12.996185, 13.225698, 108.600259], [15.853128, 17.424132, 20.335067, 22.975505, 98.459372]]
### 2
mean: [0.461436, 0.428671, -1.012753, 1.834259, -0.427269, 0.743632]
std: [0.617353, 1.331667, 0.600635, 1.790915, 0.139776, 0.919812]
pca: [[0.170755, -0.191145, 0.856968, 0.002047, -0.210454, -0.394484, 0.000000, 0.000000, 0.000000, 0.000000], [-0.513909, 0.665880, 0.340635, 0.168010, -0.222304, 0.314360, 0.000000, 0.000000, 0.000000, 0.000000], [-0.177600, -0.643642, 0.081832, 0.270935, -0.342872, 0.597093, 0.000000, 0.000000, 0.000000, 0.000000], [0.731979, 0.315246, -0.123182, 0.256334, -0.505800, 0.167665, 0.000000, 0.000000, 0.000000, 0.000000], [0.047445, 0.003008, 0.047219, 0.875650, 0.462796, -0.120696, 0.000000, 0.000000, 0.000000, 0.000000], [0.370342, 0.080016, 0.354223, -0.256696, 0.564549, 0.588525, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.506791, 9.526315, 10.531659, 11.373783, 41.529227], [18.845793, 20.778100, 21.153856, 25.763606, 38.580398], [9.451230, 9.627358, 11.079546, 11.381348, 91.147733], [27.948687, 28.757366, 30.235126, 33.669867, 165.083262], [2.199455, 2.225168, 2.631678, 2.721880, 38.454167], [14.633041, 15.055161, 15.449785, 16.586492, 66.926868]]
### 4
mean: [1.606847, -0.528043, 1.618784, 0.480573, -0.934528, -0.668535]
std: [1.628344, 0.401591, 1.669460, 0.660102, 0.304920, 0.288862]
pca: [[0.675229, -0.039681, 0.165243, -0.084908, -0.043097, 0.711420, 0.000000, 0.000000, 0.000000, 0.000000], [-0.056375, 0.620657, 0.372263, 0.110402, -0.678343, -0.026257, 0.000000, 0.000000, 0.000000, 0.000000], [0.692067, -0.091313, 0.114403, 0.256421, -0.011055, -0.658592, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242150, -0.479531, 0.539236, 0.630096, -0.026018, 0.151461, 0.000000, 0.000000, 0.000000, 0.000000], [0.048769, 0.443580, -0.446764, 0.705723, 0.264424, 0.182471, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030261, 0.422088, 0.575025, -0.140658, 0.683575, -0.056674, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.916013, 25.304274, 28.036674, 30.616985, 144.616225], [6.513505, 6.955580, 7.082177, 7.947025, 47.523898], [25.734794, 25.914958, 28.437422, 31.556233, 145.690617], [9.424652, 9.473468, 11.885279, 15.944786, 43.251594], [4.705113, 4.726820, 4.766350, 7.363279, 84.107523], [4.532434, 5.073630, 5.318235, 5.936813, 60.168172]]
### 6
mean: [1.902754, 0.091075, -0.885573, 0.061655, 0.277227, -0.157481]
std: [1.896884, 0.435395, 0.539994, 0.500329, 0.020151, 1.086246]
pca: [[0.811221, 0.461019, -0.047957, 0.297238, -0.058833, 0.187802, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175143, 0.599851, -0.017045, -0.076948, 0.673036, -0.387704, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231313, -0.040856, -0.577211, 0.268786, 0.360829, 0.639694, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206439, 0.539414, -0.305959, -0.540440, -0.494664, 0.189833, 0.000000, 0.000000, 0.000000, 0.000000], [-0.002471, 0.074882, 0.673023, -0.330896, 0.259629, 0.603761, 0.000000, 0.000000, 0.000000, 0.000000], [-0.463806, 0.359716, 0.343026, 0.657203, -0.318220, 0.068137, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.030119, 29.934435, 32.124064, 37.292719, 171.247887], [6.270222, 6.809495, 7.922938, 8.196753, 9.953870], [8.061063, 8.397441, 9.518863, 10.474620, 79.701590], [7.134727, 7.226521, 8.299082, 8.796860, 10.992378], [0.261351, 0.281815, 0.316245, 0.473112, 24.950436], [15.863081, 16.241823, 16.966659, 20.126727, 21.073562]]
### 8
mean: [-0.909044, 0.262965, 0.998379, 0.992541, 0.275073, 0.618216]
std: [0.653595, 0.898995, 1.015138, 1.005095, 0.521588, 0.649195]
pca: [[-0.317899, 0.511720, 0.441628, 0.458115, 0.462021, 0.136804, 0.000000, 0.000000, 0.000000, 0.000000], [0.446915, 0.543091, -0.269217, -0.357004, 0.422712, -0.355954, 0.000000, 0.000000, 0.000000, 0.000000], [0.514669, -0.366868, 0.658884, 0.111818, 0.129434, -0.370323, 0.000000, 0.000000, 0.000000, 0.000000], [0.513994, -0.161420, -0.404330, 0.570624, 0.232222, 0.408329, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247895, -0.485407, -0.036059, -0.380126, 0.716854, 0.207974, 0.000000, 0.000000, 0.000000, 0.000000], [0.329668, 0.216625, 0.365481, -0.424345, -0.152616, 0.712359, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.735975, 11.027155, 11.081498, 13.502673, 81.813930], [12.408291, 15.734150, 15.780593, 20.461468, 23.666813], [15.494079, 16.008280, 16.900745, 20.839946, 89.854117], [14.805812, 15.498626, 18.333847, 20.033201, 89.328704], [7.671583, 8.407683, 9.570858, 12.554642, 24.756615], [9.165247, 10.803281, 12.181519, 13.832843, 55.639406]]
### 10
mean: [-0.322667, -0.346428, 0.482463, -0.424674, 1.497078, -0.963139]
std: [0.040076, 0.777260, 0.219294, 0.061854, 1.255667, 0.596008]
pca: [[-0.014234, 0.137301, -0.501538, 0.581939, 0.622809, -0.053491, 0.000000, 0.000000, 0.000000, 0.000000], [-0.487149, 0.110787, 0.592823, -0.166399, 0.604134, 0.079413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.074733, 0.854144, 0.127709, 0.263039, -0.307976, 0.290698, 0.000000, 0.000000, 0.000000, 0.000000], [0.028368, -0.193893, -0.218930, -0.167716, 0.104128, 0.935253, 0.000000, 0.000000, 0.000000, 0.000000], [0.787438, -0.049993, 0.506780, 0.259376, 0.204055, 0.108176, 0.000000, 0.000000, 0.000000, 0.000000], [-0.368829, -0.446340, 0.275599, 0.684883, -0.315912, 0.141158, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[0.597548, 0.631125, 0.678404, 1.028292, 29.040000], [11.671829, 12.192261, 13.563784, 16.625494, 31.178518], [2.951419, 3.380159, 3.917290, 5.630506, 43.421683], [0.948936, 0.951681, 1.097129, 1.592562, 38.220619], [18.798632, 19.709402, 21.374831, 26.694286, 134.736996], [9.129821, 9.745317, 9.756390, 12.961817, 86.682455]]
### 12
mean: [-0.668155]
std: [0.632882]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.403610, 9.534222, 12.278980, 13.461985, 60.133914]]
## 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": 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": [[0.520054, 0.347083, 0.404919, 0.379158, -0.686603], [-0.160031, 0.379487, -0.238339, -0.087934, -0.143044], [-0.198273, 0.090378, -0.159103, 0.308606, 0.652516], [0.561274, 0.145558, -0.121913, -0.047374, -0.012948], [0.245959, -0.048435, -0.314873, 0.007351, -0.181678], [-0.164945, -0.030083, -0.410577, 0.172495, -0.005934]], "network.0.bias": [0.084664, -0.276095, 0.112005, 0.036625, -0.558451, -0.338849], "network.2.weight": [[0.333109, 0.12402, -0.193056, -0.368858, -0.425132, -0.306876], [-0.189736, -0.447054, 0.606705, -0.525478, -0.012623, 0.109912], [-0.195055, -0.396409, -0.182843, -0.206114, -0.329423, 0.08856], [0.558993, 0.683725, -0.298352, 0.608867, 0.097865, -0.094282], [0.068501, -0.136705, -0.013105, -0.026326, 0.535388, -0.231995], [0.377702, 0.460529, -0.192984, 0.062005, 0.231262, -0.107907]], "network.2.bias": [0.206993, 0.52738, -0.145723, 0.416409, -0.536398, 0.025077], "network.4.weight": [[0.372625, -0.386575, -0.056052, 0.622967, 0.223971, 0.267133], [0.332655, -0.413604, -0.407553, -0.123355, -0.184908, -0.42783], [0.402677, -0.349036, 0.191796, 0.699484, 0.23079, 0.177813], [0.163603, 0.579996, -0.203724, -0.152159, 0.196719, 0.023226], [0.022909, -0.378194, -0.223956, 0.160331, -0.157435, -0.53959], [0.357515, -0.272077, 0.319634, -0.139606, -0.39177, -0.195296]], "network.4.bias": [0.278392, 0.185998, 0.174264, 0.233507, -0.525759, -0.234625], "network.6.weight": [[0.59008, -0.242006, 0.530946, -0.459218, -0.464343, -0.355786], [-0.279567, -0.274878, 0.162978, 0.502777, -0.369453, -0.377444], [-0.398632, -0.133837, 0.08679, 0.17447, 0.150307, -0.146398], [-0.397916, 0.014916, 0.226227, 0.491519, 0.06433, 0.170528], [0.223997, -0.3536, -0.204016, 0.055505, 0.077386, 0.405135], [-0.351919, -0.218661, -0.172369, 0.627306, 0.084413, -0.138354]], "network.6.bias": [0.226033, 0.016946, -0.447363, 0.087074, 0.215654, 0.402934], "network.8.weight": [[-0.400177, -0.199685, -0.097316, 0.338736, 0.173212, -0.274988], [0.247598, -0.433024, -0.238642, -0.290727, -0.322426, -0.555899], [0.526136, -0.088271, -0.088221, 0.206075, 0.291749, -0.27144], [0.477956, -0.248059, 0.050215, -0.236435, 0.117118, -0.089903], [-0.089847, 0.155081, -0.323029, 0.348405, 0.027308, 0.431294], [0.226461, -0.095676, -0.122509, -0.104545, -0.140055, -0.436077]], "network.8.bias": [-0.094782, 0.224346, -0.058579, 0.150312, 0.1743, 0.410919], "network.10.weight": [[-0.155723, 0.160219, 0.211939, -0.27312, 0.056886, -0.070697], [0.063381, -0.429095, -0.130556, -0.245076, 0.142738, -0.279749], [-0.1938, -0.534589, 0.319912, 0.07438, 0.579591, -0.021615], [0.210265, 0.175558, -0.131575, 0.013055, -0.119844, 0.047933], [0.158513, 0.116968, 0.567617, 0.365038, -0.166059, 0.471326], [0.113991, 0.149744, -0.067307, -0.487071, -0.330662, -0.501191]], "network.10.bias": [-0.310337, 0.419115, 0.170199, -0.386308, 0.189941, 0.000974], "network.12.weight": [[-0.266638, 0.395114, 0.197087, 0.293768, -0.423437, 0.113418]], "network.12.bias": [-0.196433]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.694360226392746, "train_acc": 0.465, "val_loss": 0.6833388805389404, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.683174729347229, "train_acc": 0.565, "val_loss": 0.6807226538658142, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6766844391822815, "train_acc": 0.565, "val_loss": 0.6611011028289795, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6502339243888855, "train_acc": 0.565, "val_loss": 0.6208251118659973, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6290934085845947, "train_acc": 0.545, "val_loss": 0.5594549775123596, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5168327838182449, "train_acc": 0.79, "val_loss": 0.5324496626853943, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.47798772156238556, "train_acc": 0.79, "val_loss": 0.5976409912109375, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.48046042025089264, "train_acc": 0.775, "val_loss": 0.5358994007110596, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.46083448827266693, "train_acc": 0.8, "val_loss": 0.541495144367218, "val_acc": 0.7}], "summary": {"total_epochs": 9, "degraded_epochs": 4, "improved_epochs": 5, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6833388805389404, "final_val_loss": 0.6208251118659973, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5594549775123596, "final_val_loss": 0.541495144367218, "initial_val_acc": 0.74, "final_val_acc": 0.7, "best_val_acc": 0.74, "best_epoch": 4}, "improvement": 0.17999999999999994, "first_improvement_epoch": 3}}
|
9,955
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.64, "improved_accuracy": 0.88, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8719, "learning_rate": 0.08633746940911544, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.476303,
-0.013564
],
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0.015789,
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0.001312,
0.669908,
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## Activation Signature
### 0
mean: [-0.284322, -5.237854, -6.855403, 3.889852, 1.154767, 0.104946, -4.517888, -4.901567]
std: [3.841452, 2.881020, 3.943334, 4.548056, 2.883025, 1.268596, 2.433394, 2.808757]
pca: [[0.298023, 0.599073, -0.367321, -0.200009, -0.134393, -0.526879, 0.231603, 0.167516, 0.000000, 0.000000], [-0.318712, 0.300624, 0.360674, -0.523260, -0.495608, 0.241529, 0.194921, -0.249406, 0.000000, 0.000000], [-0.427904, 0.445156, -0.327507, 0.620225, -0.210703, 0.282177, -0.041734, -0.032135, 0.000000, 0.000000], [0.596951, 0.241963, 0.094486, -0.013743, -0.057759, 0.651273, -0.080517, 0.376844, 0.000000, 0.000000], [0.325197, 0.297349, 0.391077, 0.241551, -0.046911, -0.224128, -0.515847, -0.525367, 0.000000, 0.000000], [0.085404, 0.181919, 0.392667, 0.301038, 0.405662, 0.026897, 0.721608, -0.169695, 0.000000, 0.000000], [-0.207699, 0.347712, -0.204669, -0.386619, 0.709637, 0.222107, -0.240795, -0.183563, 0.000000, 0.000000], [-0.337590, 0.227185, 0.519405, 0.053684, 0.135029, -0.244934, -0.235249, 0.654361, 0.000000, 0.000000]]
fourier: [[57.244068, 59.309612, 68.487708, 71.911154, 88.209080], [43.173805, 46.824760, 51.007662, 53.752160, 471.406782], [60.790328, 62.835547, 72.488113, 77.145015, 616.986254], [80.461324, 81.488483, 82.182897, 82.937087, 350.086712], [46.237369, 54.508111, 55.757907, 57.712237, 103.929007], [18.490244, 19.470242, 21.383193, 23.389178, 25.883281], [37.800889, 42.218755, 42.793040, 45.033156, 406.609878], [44.906714, 46.225993, 47.904102, 56.549900, 441.141062]]
### 2
mean: [-3.733643, 1.094759, -6.536985, -1.869736, 6.400867, 8.068588, 1.313195, -1.694368]
std: [4.649354, 2.406666, 7.785455, 1.703075, 8.262757, 11.114691, 1.416350, 2.400218]
pca: [[-0.273003, -0.196237, 0.278394, -0.621101, 0.366295, -0.399074, 0.277204, -0.231121, 0.000000, 0.000000], [0.140411, -0.280765, 0.027185, -0.127407, 0.597256, 0.336732, -0.157227, 0.624228, 0.000000, 0.000000], [-0.455713, 0.687228, 0.330222, 0.267459, 0.345390, -0.019686, -0.087830, 0.109847, 0.000000, 0.000000], [-0.100119, -0.025860, 0.007777, 0.035723, 0.179725, 0.754224, 0.425226, -0.453871, 0.000000, 0.000000], [0.485804, 0.036363, -0.127253, 0.278627, 0.557032, -0.241305, -0.238542, -0.493387, 0.000000, 0.000000], [0.653055, 0.374682, 0.365710, -0.122609, -0.079750, -0.034719, 0.487251, 0.198436, 0.000000, 0.000000], [0.079792, -0.302469, 0.803979, 0.105874, -0.180626, 0.149136, -0.398636, -0.175431, 0.000000, 0.000000], [-0.138576, -0.420136, 0.127796, 0.649087, 0.090810, -0.276470, 0.506636, 0.158977, 0.000000, 0.000000]]
fourier: [[80.647007, 81.896382, 84.790413, 93.984421, 336.027900], [42.023733, 43.224576, 44.013317, 46.211034, 98.528334], [134.034702, 139.878954, 141.839238, 150.400305, 588.328651], [29.452244, 30.384061, 30.962037, 34.082035, 168.276261], [142.487276, 147.368760, 150.788746, 165.443265, 576.078046], [191.094140, 197.211589, 202.207849, 224.613766, 726.172924], [22.894639, 25.056281, 26.056296, 27.657166, 118.187533], [41.704084, 42.716851, 43.529570, 49.991852, 152.493086]]
### 4
mean: [-1.952428, 8.440706, 14.012060, 7.879010, -10.624766, -7.956413, -11.447754, 2.049366]
std: [4.290452, 12.597973, 20.590811, 11.939387, 14.298170, 9.757120, 15.962315, 3.165917]
pca: [[-0.118576, 0.125883, -0.482723, 0.147856, 0.434120, 0.595365, -0.356407, -0.212756, 0.000000, 0.000000], [0.348321, 0.374533, 0.138182, -0.185985, 0.415075, 0.231702, 0.675356, -0.051322, 0.000000, 0.000000], [0.569417, 0.040359, 0.057864, -0.425671, -0.037516, -0.155080, -0.410200, -0.543939, 0.000000, 0.000000], [0.330159, 0.083137, 0.357594, 0.046333, 0.340609, 0.043341, -0.451011, 0.657845, 0.000000, 0.000000], [-0.395259, 0.605762, 0.050580, 0.046487, 0.331992, -0.563051, -0.151727, -0.147772, 0.000000, 0.000000], [-0.269622, -0.590040, -0.017154, -0.485202, 0.553270, -0.182460, 0.060269, 0.020261, 0.000000, 0.000000], [-0.441392, 0.130425, 0.636403, -0.317799, -0.162306, 0.462272, -0.133122, -0.156199, 0.000000, 0.000000], [0.087292, -0.321296, 0.456948, 0.649329, 0.281357, -0.043741, 0.028612, -0.420507, 0.000000, 0.000000]]
fourier: [[74.483282, 76.751813, 78.020253, 85.737203, 175.718525], [216.091294, 221.634838, 232.768619, 250.879287, 759.663597], [354.603733, 364.452962, 377.558954, 413.159202, 1261.085439], [205.723465, 211.588029, 218.960064, 238.490162, 709.110928], [247.813522, 256.089660, 258.364486, 289.786106, 956.228880], [166.575743, 170.263062, 182.105206, 193.774594, 716.077106], [275.171194, 282.702328, 291.898493, 322.577716, 1030.297799], [55.618679, 55.721810, 58.275001, 63.776278, 184.442875]]
### 6
mean: [-12.617990, -12.728580, -7.915864, -14.933109, 14.543867, -7.048981, -20.875685, -7.450795]
std: [18.078909, 18.332703, 10.335055, 21.382189, 21.949566, 9.477880, 30.030451, 9.975638]
pca: [[0.341677, -0.272823, -0.174181, 0.205747, -0.062406, 0.282221, 0.762090, -0.268008, 0.000000, 0.000000], [0.346483, -0.097030, -0.138464, 0.455406, -0.137851, 0.524832, -0.583585, -0.094582, 0.000000, 0.000000], [0.195265, 0.203503, 0.697078, -0.358302, -0.367243, 0.403426, 0.078845, 0.048208, 0.000000, 0.000000], [0.404060, 0.660477, -0.433472, -0.080922, -0.387321, -0.221925, 0.051229, 0.064545, 0.000000, 0.000000], [-0.414804, 0.597837, 0.083970, 0.267639, 0.223762, 0.240333, 0.091625, -0.524998, 0.000000, 0.000000], [0.179110, 0.275188, -0.014848, 0.071569, 0.605929, 0.309806, 0.152900, 0.632725, 0.000000, 0.000000], [0.567571, 0.009191, 0.160250, -0.274081, 0.519612, -0.236253, -0.175589, -0.469398, 0.000000, 0.000000], [0.188504, 0.072714, 0.493682, 0.680788, -0.070720, -0.472593, 0.084865, 0.128211, 0.000000, 0.000000]]
fourier: [[312.996719, 318.043949, 333.715819, 361.420924, 1135.619066], [317.009523, 322.582344, 338.044930, 366.191847, 1145.572127], [177.335091, 178.438996, 193.079930, 203.870706, 712.427768], [369.830073, 377.718394, 392.687124, 424.921777, 1343.979888], [380.457164, 384.732002, 406.357452, 438.859527, 1308.947877], [163.296348, 167.290426, 174.116704, 188.075374, 634.408271], [518.705070, 527.147476, 554.972195, 597.687238, 1878.811627], [170.963785, 173.474255, 185.120446, 198.366635, 670.571534]]
### 8
mean: [-2.987790, 8.564414, 6.214332, -1.395019, -4.182506, 16.356810, 0.114667, 0.208738]
std: [4.230498, 13.533327, 8.108003, 1.157377, 5.130908, 24.588003, 0.689897, 0.751497]
pca: [[-0.141010, 0.112948, 0.586046, 0.248527, -0.025175, -0.542384, -0.314116, 0.410683, 0.000000, 0.000000], [0.451110, 0.142314, 0.359996, 0.388072, 0.406273, 0.064264, -0.059583, -0.568605, 0.000000, 0.000000], [0.270249, -0.362961, -0.138305, 0.104106, 0.630323, 0.176314, -0.024290, 0.579893, 0.000000, 0.000000], [-0.038505, 0.257146, -0.469345, 0.739147, -0.228691, 0.156628, -0.271292, 0.123853, 0.000000, 0.000000], [-0.170994, 0.407391, 0.399693, -0.143389, 0.001493, 0.745194, -0.141585, 0.221622, 0.000000, 0.000000], [0.819602, 0.126718, 0.021371, -0.191472, -0.461975, -0.011871, -0.062739, 0.239955, 0.000000, 0.000000], [0.022599, 0.489205, -0.349888, -0.408532, 0.369713, -0.233589, -0.524474, -0.067252, 0.000000, 0.000000], [0.024531, 0.589727, -0.070043, 0.079618, 0.185986, -0.189874, 0.724249, 0.212592, 0.000000, 0.000000]]
fourier: [[73.366882, 74.264540, 78.423615, 84.044435, 268.901128], [235.155428, 237.335593, 251.499762, 269.651008, 770.797260], [140.292988, 142.319102, 149.760908, 161.428140, 559.289836], [19.572941, 20.418811, 20.668590, 23.203015, 125.551707], [88.582715, 90.091021, 94.461371, 102.026241, 376.425546], [427.173489, 431.170991, 456.717242, 489.723470, 1472.112836], [11.740982, 11.811355, 12.511968, 13.383562, 13.706703], [12.817066, 13.653560, 14.622142, 14.986354, 18.786400]]
### 10
mean: [18.213198, 5.705680, 18.269045, 35.901005, -0.862396, -4.877196, 17.431389, 14.061629]
std: [28.208818, 10.023006, 27.633211, 54.470280, 1.902719, 9.326147, 27.469177, 20.885630]
pca: [[0.366995, -0.044202, -0.122825, -0.351382, 0.520838, 0.094262, -0.086166, 0.661229, 0.000000, 0.000000], [0.130393, -0.118701, -0.571593, -0.484804, -0.421987, -0.341393, 0.334895, -0.019410, 0.000000, 0.000000], [0.359507, 0.117878, 0.013554, 0.003655, 0.580163, -0.398287, 0.222893, -0.558354, 0.000000, 0.000000], [0.708655, 0.099410, 0.336630, 0.124436, -0.443127, -0.255366, -0.299556, 0.088395, 0.000000, 0.000000], [0.024671, 0.837745, -0.336109, 0.328132, -0.036010, 0.028299, 0.183887, 0.202540, 0.000000, 0.000000], [-0.121328, 0.030427, 0.580064, -0.052858, -0.055910, -0.208745, 0.706556, 0.314903, 0.000000, 0.000000], [0.357371, -0.451103, -0.256654, 0.574334, -0.015486, 0.323417, 0.407309, 0.048198, 0.000000, 0.000000], [0.271720, 0.232255, 0.171394, -0.430898, -0.114196, 0.708341, 0.205109, -0.316730, 0.000000, 0.000000]]
fourier: [[489.529253, 493.887179, 522.422648, 560.424190, 1639.187800], [173.970606, 174.865214, 185.744852, 198.444423, 513.511131], [479.512557, 484.314255, 511.771472, 549.224768, 1644.213855], [945.167814, 954.690403, 1008.731315, 1083.007167, 3231.090457], [33.135074, 33.972119, 34.922342, 37.574718, 77.615611], [162.087580, 162.808712, 173.003231, 184.665000, 438.947650], [476.962884, 480.485189, 509.334699, 545.485140, 1568.825009], [362.297499, 366.354413, 386.590732, 415.379083, 1265.546753]]
### 12
mean: [-49.703121]
std: [76.902924]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1333.836788, 1344.924809, 1422.090094, 1526.400528, 4473.280891]]
## 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: 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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]
],
"network.0.bias": [
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-0.750814,
-1.043734,
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-0.67443
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"network.2.weight": [
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[
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[
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1.016935,
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0.016985
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## Activation Signature
### 0
mean: [-0.284322, -5.237854, -6.855403, 3.889852, 1.154767, 0.104946, -4.517888, -4.901567]
std: [3.841452, 2.881020, 3.943334, 4.548056, 2.883025, 1.268596, 2.433394, 2.808757]
pca: [[0.298023, 0.599073, -0.367321, -0.200009, -0.134393, -0.526879, 0.231603, 0.167516, 0.000000, 0.000000], [-0.318712, 0.300624, 0.360674, -0.523260, -0.495608, 0.241529, 0.194921, -0.249406, 0.000000, 0.000000], [-0.427904, 0.445156, -0.327507, 0.620225, -0.210703, 0.282177, -0.041734, -0.032135, 0.000000, 0.000000], [0.596951, 0.241963, 0.094486, -0.013743, -0.057759, 0.651273, -0.080517, 0.376844, 0.000000, 0.000000], [0.325197, 0.297349, 0.391077, 0.241551, -0.046911, -0.224128, -0.515847, -0.525367, 0.000000, 0.000000], [0.085404, 0.181919, 0.392667, 0.301038, 0.405662, 0.026897, 0.721608, -0.169695, 0.000000, 0.000000], [-0.207699, 0.347712, -0.204669, -0.386619, 0.709637, 0.222107, -0.240795, -0.183563, 0.000000, 0.000000], [-0.337590, 0.227185, 0.519405, 0.053684, 0.135029, -0.244934, -0.235249, 0.654361, 0.000000, 0.000000]]
fourier: [[57.244068, 59.309612, 68.487708, 71.911154, 88.209080], [43.173805, 46.824760, 51.007662, 53.752160, 471.406782], [60.790328, 62.835547, 72.488113, 77.145015, 616.986254], [80.461324, 81.488483, 82.182897, 82.937087, 350.086712], [46.237369, 54.508111, 55.757907, 57.712237, 103.929007], [18.490244, 19.470242, 21.383193, 23.389178, 25.883281], [37.800889, 42.218755, 42.793040, 45.033156, 406.609878], [44.906714, 46.225993, 47.904102, 56.549900, 441.141062]]
### 2
mean: [-3.733643, 1.094759, -6.536985, -1.869736, 6.400867, 8.068588, 1.313195, -1.694368]
std: [4.649354, 2.406666, 7.785455, 1.703075, 8.262757, 11.114691, 1.416350, 2.400218]
pca: [[-0.273003, -0.196237, 0.278394, -0.621101, 0.366295, -0.399074, 0.277204, -0.231121, 0.000000, 0.000000], [0.140411, -0.280765, 0.027185, -0.127407, 0.597256, 0.336732, -0.157227, 0.624228, 0.000000, 0.000000], [-0.455713, 0.687228, 0.330222, 0.267459, 0.345390, -0.019686, -0.087830, 0.109847, 0.000000, 0.000000], [-0.100119, -0.025860, 0.007777, 0.035723, 0.179725, 0.754224, 0.425226, -0.453871, 0.000000, 0.000000], [0.485804, 0.036363, -0.127253, 0.278627, 0.557032, -0.241305, -0.238542, -0.493387, 0.000000, 0.000000], [0.653055, 0.374682, 0.365710, -0.122609, -0.079750, -0.034719, 0.487251, 0.198436, 0.000000, 0.000000], [0.079792, -0.302469, 0.803979, 0.105874, -0.180626, 0.149136, -0.398636, -0.175431, 0.000000, 0.000000], [-0.138576, -0.420136, 0.127796, 0.649087, 0.090810, -0.276470, 0.506636, 0.158977, 0.000000, 0.000000]]
fourier: [[80.647007, 81.896382, 84.790413, 93.984421, 336.027900], [42.023733, 43.224576, 44.013317, 46.211034, 98.528334], [134.034702, 139.878954, 141.839238, 150.400305, 588.328651], [29.452244, 30.384061, 30.962037, 34.082035, 168.276261], [142.487276, 147.368760, 150.788746, 165.443265, 576.078046], [191.094140, 197.211589, 202.207849, 224.613766, 726.172924], [22.894639, 25.056281, 26.056296, 27.657166, 118.187533], [41.704084, 42.716851, 43.529570, 49.991852, 152.493086]]
### 4
mean: [-1.952428, 8.440706, 14.012060, 7.879010, -10.624766, -7.956413, -11.447754, 2.049366]
std: [4.290452, 12.597973, 20.590811, 11.939387, 14.298170, 9.757120, 15.962315, 3.165917]
pca: [[-0.118576, 0.125883, -0.482723, 0.147856, 0.434120, 0.595365, -0.356407, -0.212756, 0.000000, 0.000000], [0.348321, 0.374533, 0.138182, -0.185985, 0.415075, 0.231702, 0.675356, -0.051322, 0.000000, 0.000000], [0.569417, 0.040359, 0.057864, -0.425671, -0.037516, -0.155080, -0.410200, -0.543939, 0.000000, 0.000000], [0.330159, 0.083137, 0.357594, 0.046333, 0.340609, 0.043341, -0.451011, 0.657845, 0.000000, 0.000000], [-0.395259, 0.605762, 0.050580, 0.046487, 0.331992, -0.563051, -0.151727, -0.147772, 0.000000, 0.000000], [-0.269622, -0.590040, -0.017154, -0.485202, 0.553270, -0.182460, 0.060269, 0.020261, 0.000000, 0.000000], [-0.441392, 0.130425, 0.636403, -0.317799, -0.162306, 0.462272, -0.133122, -0.156199, 0.000000, 0.000000], [0.087292, -0.321296, 0.456948, 0.649329, 0.281357, -0.043741, 0.028612, -0.420507, 0.000000, 0.000000]]
fourier: [[74.483282, 76.751813, 78.020253, 85.737203, 175.718525], [216.091294, 221.634838, 232.768619, 250.879287, 759.663597], [354.603733, 364.452962, 377.558954, 413.159202, 1261.085439], [205.723465, 211.588029, 218.960064, 238.490162, 709.110928], [247.813522, 256.089660, 258.364486, 289.786106, 956.228880], [166.575743, 170.263062, 182.105206, 193.774594, 716.077106], [275.171194, 282.702328, 291.898493, 322.577716, 1030.297799], [55.618679, 55.721810, 58.275001, 63.776278, 184.442875]]
### 6
mean: [-12.617990, -12.728580, -7.915864, -14.933109, 14.543867, -7.048981, -20.875685, -7.450795]
std: [18.078909, 18.332703, 10.335055, 21.382189, 21.949566, 9.477880, 30.030451, 9.975638]
pca: [[0.341677, -0.272823, -0.174181, 0.205747, -0.062406, 0.282221, 0.762090, -0.268008, 0.000000, 0.000000], [0.346483, -0.097030, -0.138464, 0.455406, -0.137851, 0.524832, -0.583585, -0.094582, 0.000000, 0.000000], [0.195265, 0.203503, 0.697078, -0.358302, -0.367243, 0.403426, 0.078845, 0.048208, 0.000000, 0.000000], [0.404060, 0.660477, -0.433472, -0.080922, -0.387321, -0.221925, 0.051229, 0.064545, 0.000000, 0.000000], [-0.414804, 0.597837, 0.083970, 0.267639, 0.223762, 0.240333, 0.091625, -0.524998, 0.000000, 0.000000], [0.179110, 0.275188, -0.014848, 0.071569, 0.605929, 0.309806, 0.152900, 0.632725, 0.000000, 0.000000], [0.567571, 0.009191, 0.160250, -0.274081, 0.519612, -0.236253, -0.175589, -0.469398, 0.000000, 0.000000], [0.188504, 0.072714, 0.493682, 0.680788, -0.070720, -0.472593, 0.084865, 0.128211, 0.000000, 0.000000]]
fourier: [[312.996719, 318.043949, 333.715819, 361.420924, 1135.619066], [317.009523, 322.582344, 338.044930, 366.191847, 1145.572127], [177.335091, 178.438996, 193.079930, 203.870706, 712.427768], [369.830073, 377.718394, 392.687124, 424.921777, 1343.979888], [380.457164, 384.732002, 406.357452, 438.859527, 1308.947877], [163.296348, 167.290426, 174.116704, 188.075374, 634.408271], [518.705070, 527.147476, 554.972195, 597.687238, 1878.811627], [170.963785, 173.474255, 185.120446, 198.366635, 670.571534]]
### 8
mean: [-2.987790, 8.564414, 6.214332, -1.395019, -4.182506, 16.356810, 0.114667, 0.208738]
std: [4.230498, 13.533327, 8.108003, 1.157377, 5.130908, 24.588003, 0.689897, 0.751497]
pca: [[-0.141010, 0.112948, 0.586046, 0.248527, -0.025175, -0.542384, -0.314116, 0.410683, 0.000000, 0.000000], [0.451110, 0.142314, 0.359996, 0.388072, 0.406273, 0.064264, -0.059583, -0.568605, 0.000000, 0.000000], [0.270249, -0.362961, -0.138305, 0.104106, 0.630323, 0.176314, -0.024290, 0.579893, 0.000000, 0.000000], [-0.038505, 0.257146, -0.469345, 0.739147, -0.228691, 0.156628, -0.271292, 0.123853, 0.000000, 0.000000], [-0.170994, 0.407391, 0.399693, -0.143389, 0.001493, 0.745194, -0.141585, 0.221622, 0.000000, 0.000000], [0.819602, 0.126718, 0.021371, -0.191472, -0.461975, -0.011871, -0.062739, 0.239955, 0.000000, 0.000000], [0.022599, 0.489205, -0.349888, -0.408532, 0.369713, -0.233589, -0.524474, -0.067252, 0.000000, 0.000000], [0.024531, 0.589727, -0.070043, 0.079618, 0.185986, -0.189874, 0.724249, 0.212592, 0.000000, 0.000000]]
fourier: [[73.366882, 74.264540, 78.423615, 84.044435, 268.901128], [235.155428, 237.335593, 251.499762, 269.651008, 770.797260], [140.292988, 142.319102, 149.760908, 161.428140, 559.289836], [19.572941, 20.418811, 20.668590, 23.203015, 125.551707], [88.582715, 90.091021, 94.461371, 102.026241, 376.425546], [427.173489, 431.170991, 456.717242, 489.723470, 1472.112836], [11.740982, 11.811355, 12.511968, 13.383562, 13.706703], [12.817066, 13.653560, 14.622142, 14.986354, 18.786400]]
### 10
mean: [18.213198, 5.705680, 18.269045, 35.901005, -0.862396, -4.877196, 17.431389, 14.061629]
std: [28.208818, 10.023006, 27.633211, 54.470280, 1.902719, 9.326147, 27.469177, 20.885630]
pca: [[0.366995, -0.044202, -0.122825, -0.351382, 0.520838, 0.094262, -0.086166, 0.661229, 0.000000, 0.000000], [0.130393, -0.118701, -0.571593, -0.484804, -0.421987, -0.341393, 0.334895, -0.019410, 0.000000, 0.000000], [0.359507, 0.117878, 0.013554, 0.003655, 0.580163, -0.398287, 0.222893, -0.558354, 0.000000, 0.000000], [0.708655, 0.099410, 0.336630, 0.124436, -0.443127, -0.255366, -0.299556, 0.088395, 0.000000, 0.000000], [0.024671, 0.837745, -0.336109, 0.328132, -0.036010, 0.028299, 0.183887, 0.202540, 0.000000, 0.000000], [-0.121328, 0.030427, 0.580064, -0.052858, -0.055910, -0.208745, 0.706556, 0.314903, 0.000000, 0.000000], [0.357371, -0.451103, -0.256654, 0.574334, -0.015486, 0.323417, 0.407309, 0.048198, 0.000000, 0.000000], [0.271720, 0.232255, 0.171394, -0.430898, -0.114196, 0.708341, 0.205109, -0.316730, 0.000000, 0.000000]]
fourier: [[489.529253, 493.887179, 522.422648, 560.424190, 1639.187800], [173.970606, 174.865214, 185.744852, 198.444423, 513.511131], [479.512557, 484.314255, 511.771472, 549.224768, 1644.213855], [945.167814, 954.690403, 1008.731315, 1083.007167, 3231.090457], [33.135074, 33.972119, 34.922342, 37.574718, 77.615611], [162.087580, 162.808712, 173.003231, 184.665000, 438.947650], [476.962884, 480.485189, 509.334699, 545.485140, 1568.825009], [362.297499, 366.354413, 386.590732, 415.379083, 1265.546753]]
### 12
mean: [-49.703121]
std: [76.902924]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1333.836788, 1344.924809, 1422.090094, 1526.400528, 4473.280891]]
## 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.858282, -0.453249, -0.01435, -0.519595, -0.124435], [0.015481, -0.656854, -0.835839, -0.433881, -0.513213], [0.051232, -1.493049, -0.661076, -0.541285, -0.497098], [1.781935, 0.492214, 0.586115, 0.096012, 0.042473], [1.347224, 0.025254, 0.25447, -0.000758, -0.350749], [0.533162, -0.111645, 0.137872, -0.087616, -0.413725], [0.136657, -0.607408, -0.368259, -0.718821, -0.285653], [-0.235267, -0.670184, -0.548149, -0.339204, -0.681658]], "network.0.bias": [-0.473243, -0.750814, -1.043734, -0.707195, -0.665141, 0.055046, -0.918087, -0.67443], "network.2.weight": [[-0.397282, 0.483849, 0.500965, -0.384675, -0.594765, -0.561544, 0.419858, 1.055783], [0.053031, 0.369682, 0.113567, 0.346388, 0.291884, -0.052644, -0.575333, 0.753951], [-0.193583, -0.026065, -0.391223, -1.078901, -0.846972, -0.412566, -0.787371, 0.810315], [-0.155492, 0.262431, -0.534583, -0.167909, -0.16795, -0.17847, -0.378114, 0.726906], [0.650883, -0.518291, -0.149301, 0.797066, 1.016935, 0.617781, -0.538602, 0.016985], [1.226763, -0.56236, -0.517109, 1.002387, 1.085762, 0.992134, 0.10317, 0.219802], [0.215281, 0.262019, -0.307153, 0.346473, -0.151681, -0.429956, -0.31005, 0.627673], [-0.370839, 0.295854, -0.602986, -0.048098, -0.269233, -0.635445, -0.372333, -0.279994]], "network.2.bias": [-0.515943, -0.731835, -0.628367, -0.675055, 0.603369, 0.449326, 0.078913, -0.363874], "network.4.weight": [[-0.901321, -0.698685, -0.522304, 0.191153, 0.041627, -0.321948, 0.416854, -0.104694], [0.467036, 0.758336, 0.443358, 0.009588, 0.230436, 0.738892, 0.523195, -0.34856], [0.421937, 0.659655, 0.561169, 0.027157, 0.772412, 1.11521, 0.167613, 0.042999], [0.684043, 0.782508, 0.453393, -0.214006, 0.3972, 0.61895, -0.02137, -0.405744], [-0.576383, 0.188968, 0.422348, 0.332607, -1.151189, -0.549454, 0.701568, -0.384676], [0.544378, -0.384171, -0.593462, -0.667493, -0.471836, -0.329271, -0.888924, -0.921], [0.119416, 0.28265, -1.276523, 0.09413, -1.008969, -0.715533, -0.155202, -0.119482], [0.681824, 0.433511, 0.461561, -0.156105, 0.336757, 0.038125, -0.756117, -0.711235]], "network.4.bias": [0.652337, -0.529853, -0.814296, -0.557368, -0.045317, -0.877787, 0.476303, -0.013564], "network.6.weight": [[0.275677, -0.500362, -0.59595, 0.127122, -0.295793, -0.084741, -0.34231, -0.323414], [0.015789, -0.247566, -0.651247, -0.12526, 0.256347, -0.222204, -0.074414, -0.119787], [-0.509236, -0.562424, -0.174614, -0.176737, 0.288994, 0.848392, -0.017505, 0.714414], [-0.730156, -0.485034, -0.318221, -0.542988, 0.631885, 0.531218, 0.029427, -0.790499], [-0.627128, 0.337854, 0.607191, 0.444206, 0.892848, 0.429086, 1.102768, -0.058762], [-0.247627, -0.201779, -0.071646, -0.44383, 0.37332, 0.697192, 0.7583, -0.090572], [-0.130045, -0.852217, -0.48341, -0.802515, 0.667034, -0.407091, 0.001482, 0.022943], [-0.381013, 0.00867, -0.555614, -0.118296, 0.891586, 0.206374, 0.592279, 0.824356]], "network.6.bias": [-0.395911, -0.188196, -0.488559, -0.125585, -0.08595, -0.482271, -0.399878, -0.239061], "network.8.weight": [[-0.211004, -0.347993, -0.0302, -0.131986, -0.194305, -0.047748, 0.520376, 0.246052], [0.493767, 0.544366, 0.273695, 0.929895, 0.616876, -0.083063, 0.74701, 0.11796], [-0.358163, -0.383482, 0.028854, -0.372324, 0.37258, -0.003178, -0.573657, 0.429483], [0.636634, 0.611714, -0.95651, 0.69086, -0.053744, -0.06014, 0.974794, -0.147409], [0.326414, 0.639523, -0.025892, 0.798184, -0.237127, -0.1024, 0.37814, -0.133848], [1.057707, 0.845892, 0.489628, 0.432093, 1.121692, 0.359028, 0.917182, 0.627794], [1.379042, 0.938311, 0.103651, 0.481555, 0.027981, 0.001312, 0.669908, 0.028465], [1.125368, 1.249472, 0.447667, 0.587473, 0.029935, -0.150465, 1.250948, -0.238908]], "network.8.bias": [-0.112283, -0.414464, 0.694482, -0.578357, -0.625306, 0.00211, -0.198277, -0.111006], "network.10.weight": [[0.46903, 0.64119, -0.094645, 0.728002, 0.624042, 0.798692, 1.153101, 0.171938], [0.031833, 0.326004, -0.708514, 0.551742, 0.124537, 0.433948, 1.203506, 0.166824], [0.828272, 0.588361, -0.01941, -0.013487, 0.066474, 0.806476, 0.196339, 0.042487], [1.049815, 1.072707, 0.441343, 0.312534, -0.043966, 1.481228, 0.125217, 0.18281], [1.203042, 0.797154, -0.477341, 0.368318, 0.915029, -0.181764, -0.339928, -0.570404], [-0.098937, -0.378022, 0.968992, -0.783216, -0.579511, -0.466419, -0.89575, -0.269007], [-0.021799, 0.243748, -0.861129, 0.709935, 0.4649, 1.230543, 1.041893, 0.721808], [0.519613, 0.532053, 0.357542, -0.009861, -0.271699, 0.456794, 0.155609, -0.681295]], "network.10.bias": [-0.125669, -0.17887, -0.07982, -0.640781, -1.496791, 0.29299, -0.016707, -0.174013], "network.12.weight": [[-0.249767, -0.065923, -0.135325, -0.88487, -0.187864, 0.495819, -0.586941, -0.054382]], "network.12.bias": [0.865901]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7039808332920074, "train_acc": 0.485, "val_loss": 0.6530950665473938, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7625916004180908, "train_acc": 0.585, "val_loss": 0.6972590684890747, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6912448108196259, "train_acc": 0.5, "val_loss": 0.6724128723144531, "val_acc": 0.72}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6448136568069458, "train_acc": 0.645, "val_loss": 0.520541787147522, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6679391264915466, "train_acc": 0.525, "val_loss": 0.7382946610450745, "val_acc": 0.36}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6899688243865967, "train_acc": 0.535, "val_loss": 0.7498947381973267, "val_acc": 0.36}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6945123672485352, "train_acc": 0.535, "val_loss": 0.7233380675315857, "val_acc": 0.36}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.669522762298584, "train_acc": 0.605, "val_loss": 0.6466411352157593, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5979990661144257, "train_acc": 0.72, "val_loss": 0.4847993850708008, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4896429479122162, "train_acc": 0.815, "val_loss": 0.42822104692459106, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.38201551139354706, "train_acc": 0.85, "val_loss": 0.40970832109451294, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.26835355907678604, "train_acc": 0.91, "val_loss": 0.3231450319290161, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.1927407905459404, "train_acc": 0.95, "val_loss": 0.2741340696811676, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3237106427550316, "train_acc": 0.87, "val_loss": 0.6047493815422058, "val_acc": 0.76}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6530950665473938, "final_val_loss": 0.520541787147522, "initial_val_acc": 0.64, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.7382946610450745, "final_val_loss": 0.6047493815422058, "initial_val_acc": 0.36, "final_val_acc": 0.76, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.24, "first_improvement_epoch": 3}}
|
9,956
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9952, "learning_rate": 0.08357447180936035, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.153497,
0.102768,
-0.138811,
-0.322283
],
[
-0.449778,
-0.677082,
-0.708907,
0.418102,
-0.262409,
-0.274383
],
[
-0.2311,
-0.147767,
0.188083,
-0.301799,
-0.084665,
-0.103779
],
[
-0.374141,
-0.585558,
0.014067,
0.179855,
0.428016,
-0.325833
]
],
"network.8.bias": [
-0.071479,
0.040026,
-0.430795,
0.275466,
-0.187033,
0.156306
],
"network.10.weight": [
[
-0.363506,
-0.490557,
0.02536,
0.303922,
0.042468,
0.427695
]
],
"network.10.bias": [
-0.100596
]
}
## Activation Signature
### 0
mean: [-0.739716, 0.338563, -1.211825, 1.928639, 2.096071, 2.254678]
std: [2.021796, 2.915990, 1.082255, 3.308985, 3.074195, 3.108662]
pca: [[-0.292863, -0.312676, 0.466034, 0.658905, -0.281054, -0.293480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405853, 0.734894, 0.159598, 0.308828, 0.338138, 0.245012, 0.000000, 0.000000, 0.000000, 0.000000], [0.024971, -0.478345, -0.301475, 0.392453, 0.688238, 0.228000, 0.000000, 0.000000, 0.000000, 0.000000], [0.531641, 0.016579, 0.266040, 0.256360, -0.273071, 0.711349, 0.000000, 0.000000, 0.000000, 0.000000], [0.474564, 0.354921, -0.481832, 0.486311, -0.124477, -0.405788, 0.000000, 0.000000, 0.000000, 0.000000], [0.490956, 0.084295, 0.602921, -0.119298, 0.492887, -0.362178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.663991, 32.564232, 41.805324, 41.814788, 66.574469], [38.194210, 46.401626, 50.144519, 54.938947, 55.889489], [15.919686, 16.308929, 18.251158, 20.805641, 109.064258], [52.668100, 53.655743, 54.097579, 59.501174, 173.577554], [48.068013, 48.232654, 52.725600, 60.000791, 188.646411], [48.326293, 50.120288, 50.156253, 52.248364, 202.921073]]
### 2
mean: [3.290774, -2.317549, -3.772343, -1.418345, -3.416332, -1.600186]
std: [4.620348, 2.917802, 3.270541, 0.804955, 3.711193, 4.111645]
pca: [[0.553746, 0.126605, -0.104820, 0.111526, 0.508795, 0.628521, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347836, 0.060295, 0.663064, -0.357767, -0.096277, 0.546310, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373151, 0.664874, -0.557298, -0.272255, -0.037476, 0.180536, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050188, 0.450160, 0.396090, -0.050815, 0.633297, -0.484048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444506, 0.117622, 0.073905, 0.863367, 0.048041, 0.188168, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482731, -0.567274, -0.276458, -0.193540, 0.571909, 0.064838, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.289289, 74.926216, 75.642334, 77.514492, 296.169621], [46.982549, 47.643224, 49.417476, 49.948629, 208.579358], [54.615512, 58.683410, 60.815148, 62.904512, 339.510850], [13.274873, 13.679764, 14.004727, 14.561700, 127.651037], [58.275637, 61.481387, 62.117167, 62.771798, 307.469866], [62.572849, 63.997664, 68.905428, 73.084570, 144.016730]]
### 4
mean: [0.994922, -1.414256, -1.117127, 0.092320, -1.176744, -2.149297]
std: [1.268936, 1.629943, 0.708273, 0.723318, 1.410388, 2.703742]
pca: [[-0.319787, -0.505416, 0.192880, 0.105185, 0.666484, -0.387070, 0.000000, 0.000000, 0.000000, 0.000000], [0.434363, -0.252620, 0.743412, -0.426039, -0.086811, 0.076194, 0.000000, 0.000000, 0.000000, 0.000000], [0.159142, -0.443565, 0.082054, 0.629644, -0.545014, -0.278746, 0.000000, 0.000000, 0.000000, 0.000000], [0.108044, 0.685229, 0.383874, 0.255199, 0.104458, -0.543499, 0.000000, 0.000000, 0.000000, 0.000000], [0.379143, 0.056963, 0.112814, 0.563351, 0.437806, 0.575534, 0.000000, 0.000000, 0.000000, 0.000000], [0.726853, -0.105852, -0.493272, -0.168774, 0.220537, -0.374221, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.221408, 19.248615, 19.490277, 23.981550, 89.542950], [27.211403, 27.258869, 28.894303, 30.673795, 127.283049], [11.731019, 11.923481, 12.192932, 15.660237, 100.541433], [9.694779, 9.966866, 11.499140, 11.553841, 14.053546], [22.545972, 23.256335, 23.526127, 24.158358, 105.906948], [44.170565, 44.930267, 47.139524, 47.576078, 193.436698]]
### 6
mean: [0.658273, 0.556790, 0.494906, -0.768004, -0.172626, -0.611215]
std: [0.733943, 0.637805, 0.812747, 1.222674, 0.451458, 0.279965]
pca: [[-0.400910, 0.335354, 0.563081, -0.129796, 0.074892, -0.622328, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347833, 0.311583, 0.433051, 0.123389, 0.021984, 0.760715, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448412, 0.120746, -0.486511, -0.436168, 0.592979, 0.076075, 0.000000, 0.000000, 0.000000, 0.000000], [0.670723, 0.440299, 0.184574, -0.533817, 0.163096, 0.103142, 0.000000, 0.000000, 0.000000, 0.000000], [0.245615, -0.240173, 0.272389, 0.437030, 0.784449, -0.037940, 0.000000, 0.000000, 0.000000, 0.000000], [0.083746, 0.724105, -0.387880, 0.549298, 0.017991, -0.127104, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.575768, 11.774711, 11.932136, 14.505416, 59.244564], [9.170818, 10.248921, 10.369711, 12.624961, 50.111115], [11.896349, 12.763751, 13.133151, 15.731696, 44.541543], [18.112689, 19.080327, 19.127885, 22.330417, 69.120340], [6.471219, 7.269413, 7.339246, 8.953874, 15.536331], [4.656970, 4.689277, 4.730465, 5.973895, 55.009305]]
### 8
mean: [0.671630, 0.474867, -0.408666, -0.884070, -0.384366, -0.400698]
std: [0.668802, 0.702562, 0.018874, 1.135991, 0.069222, 0.627170]
pca: [[-0.411586, -0.452757, 0.469861, 0.631800, 0.062595, -0.041823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427190, 0.679134, 0.245004, -0.037557, 0.496680, -0.219447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000511, 0.081116, -0.229754, 0.245693, 0.396299, 0.850421, 0.000000, 0.000000, 0.000000, 0.000000], [0.705622, 0.345234, 0.161982, 0.573155, 0.024955, -0.165962, 0.000000, 0.000000, 0.000000, 0.000000], [0.022072, 0.258142, 0.670662, -0.221857, -0.484360, 0.446389, 0.000000, 0.000000, 0.000000, 0.000000], [0.386931, -0.376012, 0.436339, -0.401654, 0.597587, -0.008456, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.046110, 10.604181, 10.784037, 11.534185, 60.446696], [10.625166, 11.152804, 12.022597, 13.483971, 42.737989], [0.257346, 0.298196, 0.298343, 0.396532, 36.779951], [17.062306, 17.846228, 18.697330, 20.178743, 79.566277], [1.083582, 1.172982, 1.220351, 1.368114, 34.592916], [9.571016, 9.710227, 10.803045, 11.795651, 36.062850]]
### 10
mean: [-0.560055]
std: [0.596979]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.001420, 9.186965, 10.293710, 10.875722, 50.404949]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.488437,
-0.86097,
0.401445,
0.174663,
0.199002
],
[
-1.245654,
-0.15006,
0.162378,
0.634234,
0.350179
],
[
0.352981,
-0.443623,
-0.134007,
-0.111053,
-0.222252
],
[
1.39076,
0.674419,
-0.182958,
-0.105683,
-0.31591
],
[
1.078639,
0.850239,
-0.281224,
0.088477,
-0.604591
],
[
1.298371,
0.688875,
-0.34406,
-0.089086,
-0.00737
]
],
"network.0.bias": [
-0.021569,
0.030996,
-0.050528,
-0.032594,
0.347815,
0.302478
],
"network.2.weight": [
[
-0.156241,
-0.089512,
0.257144,
0.858327,
0.31075,
0.3325
],
[
0.024933,
-0.104132,
-0.586763,
-0.499701,
0.076932,
-0.530614
],
[
-0.602568,
-0.535251,
-0.131229,
-0.301575,
-0.563297,
-0.38028
],
[
-0.299736,
-0.428376,
-0.544733,
0.137253,
0.109299,
-0.490551
],
[
0.160868,
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-0.496158,
-0.616945,
-0.255566,
-0.383161
],
[
0.314332,
0.558886,
0.430575,
-0.512994,
-0.508907,
-0.210925
]
],
"network.2.bias": [
0.102004,
-0.026238,
0.03365,
-0.117497,
-0.391427,
0.323227
],
"network.4.weight": [
[
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0.549532,
0.170559,
0.162237,
0.260725,
-0.438036
],
[
-0.38295,
-0.400421,
0.309731,
0.057177,
-0.051991,
-0.327636
],
[
-0.171208,
0.076183,
-0.102464,
-0.019365,
-0.339389,
-0.464884
],
[
-0.029387,
-0.12917,
-0.074886,
0.104266,
0.178383,
0.65342
],
[
-0.309826,
-0.018545,
-0.06789,
0.203109,
0.196679,
-0.0134
],
[
-0.612913,
-0.450003,
-0.531019,
0.288376,
-0.07782,
-0.23696
]
],
"network.4.bias": [
0.534941,
0.080575,
-0.244277,
-0.228955,
-0.129109,
0.058473
],
"network.6.weight": [
[
0.440045,
0.007446,
0.146734,
-0.575547,
0.269823,
0.626386
],
[
0.377108,
-0.022859,
0.312513,
-0.512293,
0.358463,
0.228915
],
[
0.549871,
-0.199582,
-0.115988,
-0.484123,
0.407409,
0.168296
],
[
-0.963317,
-0.352543,
-0.191629,
0.334473,
0.317873,
-0.273593
],
[
-0.261715,
-0.100504,
-0.154992,
0.374394,
-0.328194,
0.083134
],
[
-0.272049,
-0.226883,
-0.057674,
-0.378165,
-0.310109,
0.045088
]
],
"network.6.bias": [
0.361638,
0.308582,
0.050228,
0.172745,
-0.006307,
-0.196739
],
"network.8.weight": [
[
0.047848,
0.570134,
0.540185,
0.162047,
-0.056416,
0.116119
],
[
0.481105,
0.125614,
0.234528,
-0.596915,
-0.494942,
-0.124518
],
[
0.205161,
-0.051549,
-0.153497,
0.102768,
-0.138811,
-0.322283
],
[
-0.449778,
-0.677082,
-0.708907,
0.418102,
-0.262409,
-0.274383
],
[
-0.2311,
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0.188083,
-0.301799,
-0.084665,
-0.103779
],
[
-0.374141,
-0.585558,
0.014067,
0.179855,
0.428016,
-0.325833
]
],
"network.8.bias": [
-0.071479,
0.040026,
-0.430795,
0.275466,
-0.187033,
0.156306
],
"network.10.weight": [
[
-0.363506,
-0.490557,
0.02536,
0.303922,
0.042468,
0.427695
]
],
"network.10.bias": [
-0.100596
]
}
## Activation Signature
### 0
mean: [-0.739716, 0.338563, -1.211825, 1.928639, 2.096071, 2.254678]
std: [2.021796, 2.915990, 1.082255, 3.308985, 3.074195, 3.108662]
pca: [[-0.292863, -0.312676, 0.466034, 0.658905, -0.281054, -0.293480, 0.000000, 0.000000, 0.000000, 0.000000], [-0.405853, 0.734894, 0.159598, 0.308828, 0.338138, 0.245012, 0.000000, 0.000000, 0.000000, 0.000000], [0.024971, -0.478345, -0.301475, 0.392453, 0.688238, 0.228000, 0.000000, 0.000000, 0.000000, 0.000000], [0.531641, 0.016579, 0.266040, 0.256360, -0.273071, 0.711349, 0.000000, 0.000000, 0.000000, 0.000000], [0.474564, 0.354921, -0.481832, 0.486311, -0.124477, -0.405788, 0.000000, 0.000000, 0.000000, 0.000000], [0.490956, 0.084295, 0.602921, -0.119298, 0.492887, -0.362178, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.663991, 32.564232, 41.805324, 41.814788, 66.574469], [38.194210, 46.401626, 50.144519, 54.938947, 55.889489], [15.919686, 16.308929, 18.251158, 20.805641, 109.064258], [52.668100, 53.655743, 54.097579, 59.501174, 173.577554], [48.068013, 48.232654, 52.725600, 60.000791, 188.646411], [48.326293, 50.120288, 50.156253, 52.248364, 202.921073]]
### 2
mean: [3.290774, -2.317549, -3.772343, -1.418345, -3.416332, -1.600186]
std: [4.620348, 2.917802, 3.270541, 0.804955, 3.711193, 4.111645]
pca: [[0.553746, 0.126605, -0.104820, 0.111526, 0.508795, 0.628521, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347836, 0.060295, 0.663064, -0.357767, -0.096277, 0.546310, 0.000000, 0.000000, 0.000000, 0.000000], [-0.373151, 0.664874, -0.557298, -0.272255, -0.037476, 0.180536, 0.000000, 0.000000, 0.000000, 0.000000], [-0.050188, 0.450160, 0.396090, -0.050815, 0.633297, -0.484048, 0.000000, 0.000000, 0.000000, 0.000000], [-0.444506, 0.117622, 0.073905, 0.863367, 0.048041, 0.188168, 0.000000, 0.000000, 0.000000, 0.000000], [-0.482731, -0.567274, -0.276458, -0.193540, 0.571909, 0.064838, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.289289, 74.926216, 75.642334, 77.514492, 296.169621], [46.982549, 47.643224, 49.417476, 49.948629, 208.579358], [54.615512, 58.683410, 60.815148, 62.904512, 339.510850], [13.274873, 13.679764, 14.004727, 14.561700, 127.651037], [58.275637, 61.481387, 62.117167, 62.771798, 307.469866], [62.572849, 63.997664, 68.905428, 73.084570, 144.016730]]
### 4
mean: [0.994922, -1.414256, -1.117127, 0.092320, -1.176744, -2.149297]
std: [1.268936, 1.629943, 0.708273, 0.723318, 1.410388, 2.703742]
pca: [[-0.319787, -0.505416, 0.192880, 0.105185, 0.666484, -0.387070, 0.000000, 0.000000, 0.000000, 0.000000], [0.434363, -0.252620, 0.743412, -0.426039, -0.086811, 0.076194, 0.000000, 0.000000, 0.000000, 0.000000], [0.159142, -0.443565, 0.082054, 0.629644, -0.545014, -0.278746, 0.000000, 0.000000, 0.000000, 0.000000], [0.108044, 0.685229, 0.383874, 0.255199, 0.104458, -0.543499, 0.000000, 0.000000, 0.000000, 0.000000], [0.379143, 0.056963, 0.112814, 0.563351, 0.437806, 0.575534, 0.000000, 0.000000, 0.000000, 0.000000], [0.726853, -0.105852, -0.493272, -0.168774, 0.220537, -0.374221, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.221408, 19.248615, 19.490277, 23.981550, 89.542950], [27.211403, 27.258869, 28.894303, 30.673795, 127.283049], [11.731019, 11.923481, 12.192932, 15.660237, 100.541433], [9.694779, 9.966866, 11.499140, 11.553841, 14.053546], [22.545972, 23.256335, 23.526127, 24.158358, 105.906948], [44.170565, 44.930267, 47.139524, 47.576078, 193.436698]]
### 6
mean: [0.658273, 0.556790, 0.494906, -0.768004, -0.172626, -0.611215]
std: [0.733943, 0.637805, 0.812747, 1.222674, 0.451458, 0.279965]
pca: [[-0.400910, 0.335354, 0.563081, -0.129796, 0.074892, -0.622328, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347833, 0.311583, 0.433051, 0.123389, 0.021984, 0.760715, 0.000000, 0.000000, 0.000000, 0.000000], [-0.448412, 0.120746, -0.486511, -0.436168, 0.592979, 0.076075, 0.000000, 0.000000, 0.000000, 0.000000], [0.670723, 0.440299, 0.184574, -0.533817, 0.163096, 0.103142, 0.000000, 0.000000, 0.000000, 0.000000], [0.245615, -0.240173, 0.272389, 0.437030, 0.784449, -0.037940, 0.000000, 0.000000, 0.000000, 0.000000], [0.083746, 0.724105, -0.387880, 0.549298, 0.017991, -0.127104, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.575768, 11.774711, 11.932136, 14.505416, 59.244564], [9.170818, 10.248921, 10.369711, 12.624961, 50.111115], [11.896349, 12.763751, 13.133151, 15.731696, 44.541543], [18.112689, 19.080327, 19.127885, 22.330417, 69.120340], [6.471219, 7.269413, 7.339246, 8.953874, 15.536331], [4.656970, 4.689277, 4.730465, 5.973895, 55.009305]]
### 8
mean: [0.671630, 0.474867, -0.408666, -0.884070, -0.384366, -0.400698]
std: [0.668802, 0.702562, 0.018874, 1.135991, 0.069222, 0.627170]
pca: [[-0.411586, -0.452757, 0.469861, 0.631800, 0.062595, -0.041823, 0.000000, 0.000000, 0.000000, 0.000000], [-0.427190, 0.679134, 0.245004, -0.037557, 0.496680, -0.219447, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000511, 0.081116, -0.229754, 0.245693, 0.396299, 0.850421, 0.000000, 0.000000, 0.000000, 0.000000], [0.705622, 0.345234, 0.161982, 0.573155, 0.024955, -0.165962, 0.000000, 0.000000, 0.000000, 0.000000], [0.022072, 0.258142, 0.670662, -0.221857, -0.484360, 0.446389, 0.000000, 0.000000, 0.000000, 0.000000], [0.386931, -0.376012, 0.436339, -0.401654, 0.597587, -0.008456, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.046110, 10.604181, 10.784037, 11.534185, 60.446696], [10.625166, 11.152804, 12.022597, 13.483971, 42.737989], [0.257346, 0.298196, 0.298343, 0.396532, 36.779951], [17.062306, 17.846228, 18.697330, 20.178743, 79.566277], [1.083582, 1.172982, 1.220351, 1.368114, 34.592916], [9.571016, 9.710227, 10.803045, 11.795651, 36.062850]]
### 10
mean: [-0.560055]
std: [0.596979]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.001420, 9.186965, 10.293710, 10.875722, 50.404949]]
## 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": 0.6824721395969391, "train_acc": 0.565, "val_loss": 0.7207880616188049, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6571838557720184, "train_acc": 0.58, "val_loss": 0.6147680878639221, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7488531470298767, "train_acc": 0.5, "val_loss": 0.5120636224746704, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.549541562795639, "train_acc": 0.76, "val_loss": 0.5957590341567993, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6314676702022552, "train_acc": 0.675, "val_loss": 0.5472112894058228, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5689279735088348, "train_acc": 0.73, "val_loss": 0.5248680114746094, "val_acc": 0.8}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7207880616188049, "final_val_loss": 0.6147680878639221, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5120636224746704, "final_val_loss": 0.5248680114746094, "initial_val_acc": 0.78, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 5}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,957
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6232, "learning_rate": 0.03250808396575191, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [0.825184, -1.900109, -0.392220, 0.156923, -0.026578, 0.445101]
std: [1.443142, 1.217122, 1.703359, 1.320615, 1.868311, 1.591722]
pca: [[0.454365, 0.005471, -0.193453, -0.442755, 0.601767, -0.444908, 0.000000, 0.000000, 0.000000, 0.000000], [0.146829, 0.282799, 0.052828, 0.845567, 0.313191, -0.287408, 0.000000, 0.000000, 0.000000, 0.000000], [0.468339, 0.580332, -0.336297, -0.034420, -0.071150, 0.569675, 0.000000, 0.000000, 0.000000, 0.000000], [0.270426, -0.548579, 0.294520, 0.153016, 0.432151, 0.573603, 0.000000, 0.000000, 0.000000, 0.000000], [0.572341, -0.466162, -0.285035, 0.198277, -0.535428, -0.218807, 0.000000, 0.000000, 0.000000, 0.000000], [0.389804, 0.254878, 0.823834, -0.158342, -0.247564, -0.134263, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.479856, 23.964558, 26.827635, 28.280449, 74.266530], [18.696641, 19.393055, 20.320493, 24.452778, 171.009801], [28.221864, 31.044529, 32.276776, 35.299805, 42.014920], [18.516418, 18.532526, 21.426200, 25.755771, 28.308375], [26.301613, 27.734797, 28.971448, 29.047367, 30.940015], [23.564133, 23.934097, 25.994507, 29.479857, 40.059119]]
### 2
mean: [1.829783, 0.785147, 1.004159, -0.323004, 0.997265, -1.279789]
std: [2.231330, 0.658685, 0.679305, 0.419440, 0.788966, 0.826119]
pca: [[0.867852, 0.067188, -0.230363, -0.408051, -0.040973, 0.145143, 0.000000, 0.000000, 0.000000, 0.000000], [0.163425, -0.530116, 0.749547, -0.030023, -0.116103, 0.340686, 0.000000, 0.000000, 0.000000, 0.000000], [0.233745, 0.043484, -0.208717, 0.796155, 0.074710, 0.510359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118672, -0.367054, -0.203805, -0.210076, 0.850466, 0.205495, 0.000000, 0.000000, 0.000000, 0.000000], [0.257579, 0.524450, 0.534018, 0.177177, 0.505213, -0.294615, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291648, 0.550269, 0.121807, -0.351008, -0.026962, 0.688022, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.275408, 37.084418, 41.313288, 46.020127, 164.680490], [8.663979, 10.837516, 10.991697, 12.960343, 70.663244], [10.604567, 10.714308, 11.412591, 13.533490, 90.374343], [6.378793, 6.384699, 8.207004, 8.565140, 29.070393], [13.637506, 13.858614, 14.100193, 16.262444, 89.753865], [12.882448, 13.756739, 14.058474, 15.344435, 115.180987]]
### 4
mean: [-0.618148, -0.739247, -0.966352, 2.043397, -0.610581, -0.951847]
std: [0.835537, 0.725586, 0.691979, 1.920944, 0.929490, 0.443763]
pca: [[-0.310264, 0.695563, 0.158636, 0.273215, 0.179888, -0.536430, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277513, -0.346530, 0.843044, -0.166665, 0.250546, -0.040377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274840, -0.081171, 0.159272, 0.783545, -0.370876, 0.375519, 0.000000, 0.000000, 0.000000, 0.000000], [0.768178, 0.344937, 0.389901, 0.181352, 0.180319, 0.271099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360861, 0.511225, 0.063929, -0.436725, -0.095759, 0.635958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175692, -0.095852, -0.287462, 0.244982, 0.851841, 0.302755, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.704700, 13.022807, 15.684142, 16.530968, 55.633343], [11.113253, 12.086293, 12.476685, 15.002655, 66.532223], [11.444931, 11.729114, 13.552686, 14.266868, 86.971649], [31.480889, 32.396001, 36.471479, 36.993380, 183.905692], [13.591044, 15.427118, 17.349163, 18.063244, 54.952324], [7.404602, 7.510601, 8.640774, 8.795242, 85.666244]]
### 6
mean: [0.008605, 0.886456, 1.036177, 1.434094, 1.167314, 0.031789]
std: [0.514419, 0.810237, 0.972685, 1.216408, 0.915404, 0.296995]
pca: [[-0.247253, 0.399936, 0.167626, 0.503652, 0.668845, -0.223157, 0.000000, 0.000000, 0.000000, 0.000000], [0.393427, -0.132303, -0.091879, 0.587179, 0.034950, 0.687945, 0.000000, 0.000000, 0.000000, 0.000000], [0.472509, -0.014338, -0.263970, 0.429657, -0.294344, -0.660004, 0.000000, 0.000000, 0.000000, 0.000000], [0.589888, 0.369088, 0.685928, -0.212389, -0.012223, 0.007143, 0.000000, 0.000000, 0.000000, 0.000000], [0.444539, 0.093519, -0.551087, -0.414537, 0.563796, 0.015333, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123425, 0.823024, -0.345811, -0.000516, -0.383107, 0.202585, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.407054, 8.059530, 9.181067, 9.474128, 10.207981], [12.934603, 14.584879, 14.967281, 16.009008, 79.781016], [15.606890, 17.415991, 18.183332, 19.085002, 93.255896], [19.401186, 21.286643, 22.679778, 23.977340, 129.068492], [14.773683, 16.341360, 17.344878, 17.780448, 105.058248], [4.122448, 4.209264, 4.778778, 5.428454, 5.648975]]
### 8
mean: [2.252590, 1.252956, 1.674502, 1.927561, -1.333673, 2.402997]
std: [2.171585, 1.280802, 1.626985, 1.666481, 0.956237, 2.324949]
pca: [[0.510708, -0.296194, -0.478203, 0.027453, -0.183355, -0.623214, 0.000000, 0.000000, 0.000000, 0.000000], [0.301295, 0.016512, 0.279879, -0.065739, 0.877622, -0.236801, 0.000000, 0.000000, 0.000000, 0.000000], [0.382580, -0.263722, 0.497408, 0.691386, -0.194158, 0.144763, 0.000000, 0.000000, 0.000000, 0.000000], [0.391272, 0.600033, 0.430379, -0.357053, -0.364461, -0.203278, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223471, 0.634692, -0.227702, 0.622945, 0.099871, -0.312000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546808, 0.282087, -0.456618, 0.036923, 0.125128, 0.629212, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.615171, 38.368346, 39.829113, 42.991744, 202.733089], [20.283154, 22.644245, 23.101652, 25.661403, 112.766019], [25.927094, 28.587461, 29.772736, 32.268988, 150.705149], [26.184243, 29.114618, 29.303772, 33.797020, 173.480498], [15.218213, 16.932955, 18.105638, 18.446272, 120.030570], [36.869521, 41.026461, 41.734102, 46.592204, 216.269746]]
### 10
mean: [-5.966908]
std: [5.733886]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.310768, 98.324345, 104.039697, 114.372662, 537.021736]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [0.825184, -1.900109, -0.392220, 0.156923, -0.026578, 0.445101]
std: [1.443142, 1.217122, 1.703359, 1.320615, 1.868311, 1.591722]
pca: [[0.454365, 0.005471, -0.193453, -0.442755, 0.601767, -0.444908, 0.000000, 0.000000, 0.000000, 0.000000], [0.146829, 0.282799, 0.052828, 0.845567, 0.313191, -0.287408, 0.000000, 0.000000, 0.000000, 0.000000], [0.468339, 0.580332, -0.336297, -0.034420, -0.071150, 0.569675, 0.000000, 0.000000, 0.000000, 0.000000], [0.270426, -0.548579, 0.294520, 0.153016, 0.432151, 0.573603, 0.000000, 0.000000, 0.000000, 0.000000], [0.572341, -0.466162, -0.285035, 0.198277, -0.535428, -0.218807, 0.000000, 0.000000, 0.000000, 0.000000], [0.389804, 0.254878, 0.823834, -0.158342, -0.247564, -0.134263, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.479856, 23.964558, 26.827635, 28.280449, 74.266530], [18.696641, 19.393055, 20.320493, 24.452778, 171.009801], [28.221864, 31.044529, 32.276776, 35.299805, 42.014920], [18.516418, 18.532526, 21.426200, 25.755771, 28.308375], [26.301613, 27.734797, 28.971448, 29.047367, 30.940015], [23.564133, 23.934097, 25.994507, 29.479857, 40.059119]]
### 2
mean: [1.829783, 0.785147, 1.004159, -0.323004, 0.997265, -1.279789]
std: [2.231330, 0.658685, 0.679305, 0.419440, 0.788966, 0.826119]
pca: [[0.867852, 0.067188, -0.230363, -0.408051, -0.040973, 0.145143, 0.000000, 0.000000, 0.000000, 0.000000], [0.163425, -0.530116, 0.749547, -0.030023, -0.116103, 0.340686, 0.000000, 0.000000, 0.000000, 0.000000], [0.233745, 0.043484, -0.208717, 0.796155, 0.074710, 0.510359, 0.000000, 0.000000, 0.000000, 0.000000], [-0.118672, -0.367054, -0.203805, -0.210076, 0.850466, 0.205495, 0.000000, 0.000000, 0.000000, 0.000000], [0.257579, 0.524450, 0.534018, 0.177177, 0.505213, -0.294615, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291648, 0.550269, 0.121807, -0.351008, -0.026962, 0.688022, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.275408, 37.084418, 41.313288, 46.020127, 164.680490], [8.663979, 10.837516, 10.991697, 12.960343, 70.663244], [10.604567, 10.714308, 11.412591, 13.533490, 90.374343], [6.378793, 6.384699, 8.207004, 8.565140, 29.070393], [13.637506, 13.858614, 14.100193, 16.262444, 89.753865], [12.882448, 13.756739, 14.058474, 15.344435, 115.180987]]
### 4
mean: [-0.618148, -0.739247, -0.966352, 2.043397, -0.610581, -0.951847]
std: [0.835537, 0.725586, 0.691979, 1.920944, 0.929490, 0.443763]
pca: [[-0.310264, 0.695563, 0.158636, 0.273215, 0.179888, -0.536430, 0.000000, 0.000000, 0.000000, 0.000000], [-0.277513, -0.346530, 0.843044, -0.166665, 0.250546, -0.040377, 0.000000, 0.000000, 0.000000, 0.000000], [-0.274840, -0.081171, 0.159272, 0.783545, -0.370876, 0.375519, 0.000000, 0.000000, 0.000000, 0.000000], [0.768178, 0.344937, 0.389901, 0.181352, 0.180319, 0.271099, 0.000000, 0.000000, 0.000000, 0.000000], [-0.360861, 0.511225, 0.063929, -0.436725, -0.095759, 0.635958, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175692, -0.095852, -0.287462, 0.244982, 0.851841, 0.302755, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[12.704700, 13.022807, 15.684142, 16.530968, 55.633343], [11.113253, 12.086293, 12.476685, 15.002655, 66.532223], [11.444931, 11.729114, 13.552686, 14.266868, 86.971649], [31.480889, 32.396001, 36.471479, 36.993380, 183.905692], [13.591044, 15.427118, 17.349163, 18.063244, 54.952324], [7.404602, 7.510601, 8.640774, 8.795242, 85.666244]]
### 6
mean: [0.008605, 0.886456, 1.036177, 1.434094, 1.167314, 0.031789]
std: [0.514419, 0.810237, 0.972685, 1.216408, 0.915404, 0.296995]
pca: [[-0.247253, 0.399936, 0.167626, 0.503652, 0.668845, -0.223157, 0.000000, 0.000000, 0.000000, 0.000000], [0.393427, -0.132303, -0.091879, 0.587179, 0.034950, 0.687945, 0.000000, 0.000000, 0.000000, 0.000000], [0.472509, -0.014338, -0.263970, 0.429657, -0.294344, -0.660004, 0.000000, 0.000000, 0.000000, 0.000000], [0.589888, 0.369088, 0.685928, -0.212389, -0.012223, 0.007143, 0.000000, 0.000000, 0.000000, 0.000000], [0.444539, 0.093519, -0.551087, -0.414537, 0.563796, 0.015333, 0.000000, 0.000000, 0.000000, 0.000000], [-0.123425, 0.823024, -0.345811, -0.000516, -0.383107, 0.202585, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.407054, 8.059530, 9.181067, 9.474128, 10.207981], [12.934603, 14.584879, 14.967281, 16.009008, 79.781016], [15.606890, 17.415991, 18.183332, 19.085002, 93.255896], [19.401186, 21.286643, 22.679778, 23.977340, 129.068492], [14.773683, 16.341360, 17.344878, 17.780448, 105.058248], [4.122448, 4.209264, 4.778778, 5.428454, 5.648975]]
### 8
mean: [2.252590, 1.252956, 1.674502, 1.927561, -1.333673, 2.402997]
std: [2.171585, 1.280802, 1.626985, 1.666481, 0.956237, 2.324949]
pca: [[0.510708, -0.296194, -0.478203, 0.027453, -0.183355, -0.623214, 0.000000, 0.000000, 0.000000, 0.000000], [0.301295, 0.016512, 0.279879, -0.065739, 0.877622, -0.236801, 0.000000, 0.000000, 0.000000, 0.000000], [0.382580, -0.263722, 0.497408, 0.691386, -0.194158, 0.144763, 0.000000, 0.000000, 0.000000, 0.000000], [0.391272, 0.600033, 0.430379, -0.357053, -0.364461, -0.203278, 0.000000, 0.000000, 0.000000, 0.000000], [-0.223471, 0.634692, -0.227702, 0.622945, 0.099871, -0.312000, 0.000000, 0.000000, 0.000000, 0.000000], [0.546808, 0.282087, -0.456618, 0.036923, 0.125128, 0.629212, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[34.615171, 38.368346, 39.829113, 42.991744, 202.733089], [20.283154, 22.644245, 23.101652, 25.661403, 112.766019], [25.927094, 28.587461, 29.772736, 32.268988, 150.705149], [26.184243, 29.114618, 29.303772, 33.797020, 173.480498], [15.218213, 16.932955, 18.105638, 18.446272, 120.030570], [36.869521, 41.026461, 41.734102, 46.592204, 216.269746]]
### 10
mean: [-5.966908]
std: [5.733886]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.310768, 98.324345, 104.039697, 114.372662, 537.021736]]
## 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_layers": 5, "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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.292712, -0.162762, 0.328264, 0.129765, 0.604576], [-0.185866, -0.205163, -0.270276, -0.34741, 0.197375], [-0.038045, -0.676824, 0.335732, -0.117423, 0.489724], [-0.580506, 0.188531, -0.058505, 0.230622, 0.221204], [-0.391278, -0.553133, 0.023234, 0.594193, 0.361882], [-0.63599, -0.186344, 0.627483, -0.167624, 0.00728]], "network.0.bias": [-0.223588, -0.228807, -0.165045, -0.109379, -0.30079, 0.615855], "network.2.weight": [[0.376059, 0.212671, 0.892784, 0.417706, 0.773602, 0.799125], [-0.195422, 0.167666, 0.216605, 0.721315, 0.232315, 0.031709], [0.574239, 0.023339, -0.250119, 0.14871, -0.06592, 0.210412], [0.032982, -0.116578, -0.201801, -0.446058, 0.171385, -0.251158], [-0.159632, 0.37118, 0.181709, 0.597333, 0.124665, 0.614993], [-0.486987, 0.09874, 0.028058, -0.166854, -0.226934, -0.001855]], "network.2.bias": [-0.397405, 0.281486, 0.302017, 0.100813, 0.119477, -0.542144], "network.4.weight": [[-0.175827, -0.581171, 0.485095, -0.193794, -0.605888, -0.146787], [-0.402871, -0.082807, 0.055076, 0.057502, 0.256359, 0.27683], [-0.294538, -0.033213, 0.183035, -0.041024, -0.218599, 0.135772], [0.605681, 0.374844, 0.364147, -0.006594, 0.359836, 0.03457], [-0.199477, -0.627776, 0.197302, -0.205422, -0.443906, -0.707458], [-0.123266, -0.016553, -0.100737, 0.153035, -0.157921, -0.258864]], "network.4.bias": [0.304665, -0.226284, -0.344737, -0.128398, 0.520079, -0.449715], "network.6.weight": [[0.63078, -0.18367, 0.044811, -0.219186, 0.285131, -0.337677], [-0.646233, -0.154819, 0.042074, 0.377411, -0.286066, 0.209104], [-0.747194, 0.258376, -0.027632, 0.464094, -0.19651, -0.219341], [-0.3397, -0.136917, 0.316979, 0.590087, -0.545277, 0.189279], [-0.750041, -0.312922, -0.093336, 0.447057, 0.0161, 0.241763], [0.52338, 0.074657, -0.324935, -0.065721, 0.66381, -0.159239]], "network.6.bias": [0.37562, 0.197433, 0.167948, 0.315385, 0.3105, 0.051517], "network.8.weight": [[-0.111604, 0.689318, 0.584783, 0.3315, 0.65053, -0.376691], [-0.12064, 0.416582, 0.129919, 0.606146, 0.014707, -0.386794], [-0.172084, 0.538792, 0.408828, 0.427524, 0.257217, -0.167288], [-0.650522, 0.570559, 0.677449, 0.324074, -0.0456, -0.53959], [-0.489678, -0.512851, -0.301125, -0.271979, 6.9e-05, 0.251389], [-0.570109, 0.553383, 0.690089, 0.436944, 0.551994, -0.538481]], "network.8.bias": [-0.150058, -0.072635, -0.098662, 0.494689, -0.091946, 0.093714], "network.10.weight": [[-0.622699, -0.404019, -0.666613, -0.601649, -0.033809, -0.844969]], "network.10.bias": [0.402281]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6783151030540466, "train_acc": 0.585, "val_loss": 0.7227720022201538, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6662602722644806, "train_acc": 0.585, "val_loss": 0.7033461928367615, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6430654227733612, "train_acc": 0.585, "val_loss": 0.6516833305358887, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5855116248130798, "train_acc": 0.51, "val_loss": 0.5440090298652649, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5294253528118134, "train_acc": 0.51, "val_loss": 0.48689377307891846, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.45970022678375244, "train_acc": 0.51, "val_loss": 0.4890463352203369, "val_acc": 0.46}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4266511797904968, "train_acc": 0.51, "val_loss": 0.42506447434425354, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4063490927219391, "train_acc": 0.925, "val_loss": 0.41349396109580994, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3716897666454315, "train_acc": 0.905, "val_loss": 0.38477981090545654, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3384348452091217, "train_acc": 0.945, "val_loss": 0.370178759098053, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.34126001596450806, "train_acc": 0.955, "val_loss": 0.3566667139530182, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3160617798566818, "train_acc": 0.955, "val_loss": 0.34358730912208557, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.31276172399520874, "train_acc": 0.955, "val_loss": 0.32617640495300293, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7227720022201538, "final_val_loss": 0.6516833305358887, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5440090298652649, "final_val_loss": 0.32617640495300293, "initial_val_acc": 0.46, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.49999999999999994, "first_improvement_epoch": 2}}
|
9,958
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.68, "improved_accuracy": 0.98, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7761, "learning_rate": 0.01868330778588361, "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.6.weight": [
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0.145712,
0.175661,
0.562328,
-0.190619
],
[
-0.190312,
-0.176757,
0.019539,
-0.542224,
0.486307,
-0.178967,
-0.423305,
0.257222
],
[
0.211758,
0.159759,
-0.281124,
-0.047375,
-0.310662,
0.488788,
0.219437,
-0.205066
],
[
0.314844,
-0.106598,
-0.511934,
0.290125,
-0.337986,
0.133307,
0.08642,
-0.021666
],
[
-0.46813,
-0.129775,
-0.214292,
-0.182086,
0.450969,
0.002827,
-0.301474,
0.34819
],
[
-0.261371,
-0.389988,
0.256516,
-0.506905,
-0.04594,
0.009793,
-0.198924,
0.299124
],
[
0.561766,
-0.03255,
0.393435,
0.079481,
0.104988,
0.095653,
-0.110581,
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0.270605,
0.129008,
0.130097,
-0.220911,
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0.115021,
-0.075385,
-0.20902
]
],
"network.6.bias": [
-0.036121,
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-0.020532,
-0.029313,
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0.179584
],
"network.8.weight": [
[
-0.579313,
0.221666,
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[
0.272868,
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[
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[
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0.402045,
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[
0.076533,
0.344155,
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0.013769,
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]
],
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0.380571,
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[
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[
0.509421,
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[
0.464555,
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[
0.410148,
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0.1205,
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[
0.105981,
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0.242047,
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[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [0.957503, 2.466106, -0.996164, -0.877423, 0.153516, -2.421149, 0.479860, 1.952429]
std: [1.355180, 2.165655, 1.450177, 1.369185, 1.199685, 1.622746, 1.650041, 1.838515]
pca: [[0.278470, 0.439973, 0.173061, 0.030075, 0.337639, 0.066092, -0.252461, 0.718275, 0.000000, 0.000000], [0.585136, -0.529171, -0.033753, 0.036502, 0.414720, 0.353215, -0.201465, -0.194370, 0.000000, 0.000000], [-0.186037, -0.277692, 0.461983, 0.513484, -0.376554, 0.458320, -0.001906, 0.243577, 0.000000, 0.000000], [-0.085137, 0.560918, 0.234083, -0.151114, 0.116486, 0.591775, -0.042241, -0.484707, 0.000000, 0.000000], [0.330259, 0.041063, 0.293806, -0.039708, 0.096911, -0.034619, 0.887978, 0.047420, 0.000000, 0.000000], [-0.316377, -0.114574, 0.590047, 0.152864, 0.529126, -0.417484, -0.128178, -0.211091, 0.000000, 0.000000], [-0.316693, 0.085423, -0.515898, 0.560318, 0.458508, 0.175956, 0.264666, 0.032597, 0.000000, 0.000000], [0.478280, 0.335483, 0.007729, 0.610214, -0.243000, -0.322745, -0.137495, -0.322738, 0.000000, 0.000000]]
fourier: [[19.539913, 22.164765, 26.535040, 28.471128, 86.175245], [35.080542, 38.996714, 42.519672, 45.637751, 221.949524], [23.846816, 25.878030, 30.811822, 32.259955, 89.654782], [19.981576, 22.893489, 23.319026, 25.260823, 78.968089], [16.777586, 18.014463, 18.723928, 20.135773, 22.876079], [23.797562, 28.678191, 31.262684, 36.055871, 217.903424], [25.210620, 27.255357, 27.397066, 27.467153, 43.187367], [27.468306, 27.668591, 27.808666, 41.589237, 175.718590]]
### 2
mean: [1.486118, -0.838090, 0.173861, 2.451384, -1.005123, 1.147680, -1.398402, 0.289480]
std: [0.881160, 1.497483, 0.610367, 1.643773, 1.728284, 0.886590, 1.437141, 0.565338]
pca: [[-0.157920, 0.677772, -0.574366, -0.026687, -0.027510, -0.384676, 0.060513, -0.180785, 0.000000, 0.000000], [0.439437, 0.351385, 0.076359, -0.266353, -0.152226, 0.567349, -0.125485, -0.495828, 0.000000, 0.000000], [0.128561, 0.278994, 0.672284, 0.352168, -0.217145, -0.473476, -0.060203, -0.233860, 0.000000, 0.000000], [-0.475738, 0.456357, 0.250317, 0.324717, 0.168482, 0.511200, 0.219823, 0.243474, 0.000000, 0.000000], [0.515686, 0.249907, -0.096314, 0.251493, 0.280700, 0.008497, -0.487877, 0.531226, 0.000000, 0.000000], [-0.253033, -0.194113, -0.278739, 0.542879, -0.426988, 0.192344, -0.509733, -0.216191, 0.000000, 0.000000], [0.427182, -0.142620, -0.246456, 0.575471, 0.110347, 0.069798, 0.598014, -0.174925, 0.000000, 0.000000], [-0.163279, -0.102862, 0.043997, 0.098726, 0.791988, -0.051915, -0.270507, -0.497959, 0.000000, 0.000000]]
fourier: [[13.527245, 14.492712, 15.977999, 20.475024, 133.750608], [23.209201, 23.925415, 25.019965, 31.438280, 75.428125], [9.479047, 9.870060, 11.050820, 11.909466, 15.647484], [26.340295, 26.804176, 30.590716, 33.083120, 220.624568], [27.281840, 27.560808, 27.978554, 32.195874, 90.461070], [14.013655, 14.823191, 15.527138, 19.103321, 103.291211], [22.905799, 24.245283, 25.179537, 26.415582, 125.856191], [8.839869, 9.152958, 9.834760, 11.912947, 26.053184]]
### 4
mean: [-0.184811, 0.664544, -1.071750, 0.789479, -0.075773, 1.709248, 1.799577, -1.488939]
std: [0.189379, 0.495929, 0.579600, 0.368188, 0.562092, 0.781769, 1.103124, 1.726600]
pca: [[-0.013204, -0.096728, 0.825989, -0.092907, -0.040945, -0.220185, 0.473798, 0.157917, 0.000000, 0.000000], [-0.177210, 0.472692, 0.280853, 0.228210, 0.459674, -0.363055, -0.355519, -0.380392, 0.000000, 0.000000], [0.242912, -0.044069, 0.041004, 0.552567, 0.513745, 0.519899, 0.311555, 0.027286, 0.000000, 0.000000], [-0.138392, 0.222809, -0.217587, 0.662145, -0.354245, -0.404089, 0.223533, 0.326617, 0.000000, 0.000000], [0.214970, 0.426891, -0.326258, -0.309567, 0.085079, -0.163204, 0.646773, -0.342181, 0.000000, 0.000000], [-0.315930, 0.440851, 0.220821, 0.071624, -0.493708, 0.577612, 0.026620, -0.271764, 0.000000, 0.000000], [-0.462371, 0.355452, -0.096075, -0.298961, 0.356092, 0.151925, 0.056997, 0.638848, 0.000000, 0.000000], [0.728322, 0.461181, 0.159382, -0.071988, -0.140763, 0.052666, -0.282518, 0.351952, 0.000000, 0.000000]]
fourier: [[2.680967, 2.693792, 2.923266, 4.898018, 16.633006], [8.267961, 8.451952, 8.627228, 12.097761, 59.808981], [8.705733, 9.846186, 10.533262, 11.674826, 96.457511], [5.589778, 6.059716, 6.680570, 9.296877, 71.053147], [8.579630, 9.130565, 9.938290, 10.647508, 11.521101], [12.511971, 13.250466, 14.326390, 18.847129, 153.832302], [17.948893, 18.299526, 20.171910, 24.599401, 161.961944], [27.615048, 28.761125, 31.343414, 33.124619, 134.004534]]
### 6
mean: [1.864072, -1.361650, 1.578614, 0.343005, -0.610864, -0.898867, -0.275480, 0.099131]
std: [1.221612, 1.038388, 0.797665, 0.333834, 0.644108, 0.597329, 0.081451, 0.145941]
pca: [[0.602858, 0.609897, -0.031657, 0.152773, -0.212969, 0.089775, -0.431890, 0.017353, 0.000000, 0.000000], [-0.516368, 0.220850, -0.231320, 0.455902, -0.127316, -0.137999, -0.172538, 0.598507, 0.000000, 0.000000], [0.396665, -0.093189, 0.194491, 0.669744, 0.215064, -0.063312, 0.530585, 0.125727, 0.000000, 0.000000], [0.162294, -0.231809, 0.152341, -0.057727, 0.691235, -0.276507, -0.520213, 0.261729, 0.000000, 0.000000], [-0.311568, 0.543300, -0.130909, 0.147510, 0.510186, -0.140314, 0.092075, -0.529527, 0.000000, 0.000000], [-0.295685, -0.025819, 0.779177, 0.284236, -0.119865, 0.280365, -0.296711, -0.207331, 0.000000, 0.000000], [0.002795, -0.243374, -0.429850, 0.245450, 0.237993, 0.774066, -0.181281, -0.084040, 0.000000, 0.000000], [0.041609, -0.402193, -0.274643, 0.392593, -0.288233, -0.441544, -0.319658, -0.476163, 0.000000, 0.000000]]
fourier: [[19.910921, 20.552491, 21.541971, 29.317448, 167.766478], [17.284435, 17.371386, 17.790677, 23.973525, 122.548539], [13.370466, 13.385844, 13.707460, 18.449093, 142.075303], [5.374642, 5.639945, 5.902840, 7.447641, 30.870464], [10.574469, 10.630613, 11.662497, 13.900807, 54.977721], [10.002233, 10.166173, 10.284249, 14.529419, 80.897996], [1.241202, 1.271166, 1.397549, 1.578374, 24.793213], [2.114957, 2.284354, 2.536810, 2.919118, 8.921777]]
### 8
mean: [-1.557301, 0.389887, 1.575577, -1.177988, -1.181351, -1.264553, -0.491977, -0.647675]
std: [1.280518, 0.435956, 0.898301, 0.892411, 0.877774, 0.744961, 0.432391, 0.439499]
pca: [[0.566630, -0.004803, -0.165280, 0.324450, 0.591573, 0.375472, 0.057614, 0.228176, 0.000000, 0.000000], [-0.191990, -0.113832, 0.620153, -0.197430, 0.284055, -0.126102, 0.194410, 0.626283, 0.000000, 0.000000], [-0.396831, 0.303497, 0.257192, 0.224251, 0.213531, 0.369692, 0.514396, -0.432559, 0.000000, 0.000000], [0.394695, 0.151492, 0.195750, -0.411162, 0.384751, -0.483850, 0.086237, -0.473617, 0.000000, 0.000000], [0.388145, -0.196073, -0.072960, -0.272683, -0.442132, 0.153868, 0.711053, 0.080423, 0.000000, 0.000000], [0.328605, -0.270405, 0.604932, 0.542166, -0.298386, -0.079629, -0.127649, -0.217585, 0.000000, 0.000000], [0.189890, 0.286086, 0.334667, -0.458808, -0.166099, 0.610438, -0.396730, -0.044416, 0.000000, 0.000000], [0.184703, 0.823742, 0.018957, 0.240014, -0.252232, -0.263981, 0.086950, 0.297491, 0.000000, 0.000000]]
fourier: [[21.739997, 21.822103, 21.870571, 29.993093, 140.157120], [7.194540, 7.425595, 7.426174, 10.409070, 35.089806], [15.067264, 15.153714, 15.168042, 21.349078, 141.801927], [15.262401, 15.270067, 15.490999, 20.668422, 106.018917], [14.746480, 14.765779, 14.784189, 20.785054, 106.321573], [12.474317, 12.616155, 12.706011, 17.320780, 113.809765], [7.293647, 7.426365, 7.640180, 9.737582, 44.277928], [7.449181, 7.612077, 8.035523, 9.381368, 58.290786]]
### 10
mean: [0.011237, -0.491463, -0.392651, -0.428617, -0.571138, -0.429280, -0.421939, -0.226760]
std: [0.223871, 0.508964, 0.512041, 0.461781, 0.489716, 0.435380, 0.325215, 0.165349]
pca: [[0.160380, -0.431511, 0.555170, 0.458288, 0.266204, 0.275376, -0.076228, -0.342532, 0.000000, 0.000000], [0.439409, 0.428993, 0.081929, -0.307148, 0.249472, 0.614868, 0.285296, 0.011860, 0.000000, 0.000000], [0.445670, 0.378100, -0.291983, 0.405508, -0.334323, -0.102917, -0.199753, -0.496450, 0.000000, 0.000000], [0.392627, -0.463156, -0.236449, 0.194314, -0.328981, 0.023532, 0.594340, 0.275032, 0.000000, 0.000000], [0.434125, -0.203635, 0.012655, -0.445782, 0.377326, -0.575534, 0.077033, -0.302718, 0.000000, 0.000000], [0.388948, -0.007175, 0.505889, -0.230204, -0.478511, -0.075171, -0.416049, 0.363361, 0.000000, 0.000000], [0.290123, 0.059373, -0.249792, 0.375139, 0.522456, -0.095785, -0.334275, 0.561519, 0.000000, 0.000000], [-0.067107, 0.476704, 0.474798, 0.317795, 0.050911, -0.434620, 0.478419, 0.146466, 0.000000, 0.000000]]
fourier: [[2.753905, 3.101433, 3.580334, 3.707250, 3.750044], [8.357343, 8.725874, 8.794307, 11.986839, 44.231635], [8.179484, 8.650166, 8.838209, 12.070684, 35.338559], [7.647948, 7.846547, 7.959663, 8.471235, 38.575513], [8.011380, 8.118099, 8.571092, 10.126175, 51.402415], [7.022147, 7.408904, 7.646113, 9.474173, 38.635243], [5.336889, 5.338342, 5.687141, 7.338635, 37.974539], [2.199083, 2.367613, 2.438621, 2.552343, 20.408363]]
### 12
mean: [-0.597433]
std: [0.630639]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.852881, 8.964489, 9.368106, 9.701023, 53.768952]]
## 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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0.137029,
0.367746,
-0.357975,
0.013306
],
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[
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],
[
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],
[
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[
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[
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0.422881
],
[
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]
],
"network.0.bias": [
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0.264669,
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-0.401504,
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0.064261,
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],
"network.2.weight": [
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[
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0.499925,
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[
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0.335803,
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-0.270631,
0.095883,
0.430721,
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[
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0.228977,
-0.195089,
0.401232,
0.005896,
-0.229073,
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[
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0.021504,
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0.219738,
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## Activation Signature
### 0
mean: [0.957503, 2.466106, -0.996164, -0.877423, 0.153516, -2.421149, 0.479860, 1.952429]
std: [1.355180, 2.165655, 1.450177, 1.369185, 1.199685, 1.622746, 1.650041, 1.838515]
pca: [[0.278470, 0.439973, 0.173061, 0.030075, 0.337639, 0.066092, -0.252461, 0.718275, 0.000000, 0.000000], [0.585136, -0.529171, -0.033753, 0.036502, 0.414720, 0.353215, -0.201465, -0.194370, 0.000000, 0.000000], [-0.186037, -0.277692, 0.461983, 0.513484, -0.376554, 0.458320, -0.001906, 0.243577, 0.000000, 0.000000], [-0.085137, 0.560918, 0.234083, -0.151114, 0.116486, 0.591775, -0.042241, -0.484707, 0.000000, 0.000000], [0.330259, 0.041063, 0.293806, -0.039708, 0.096911, -0.034619, 0.887978, 0.047420, 0.000000, 0.000000], [-0.316377, -0.114574, 0.590047, 0.152864, 0.529126, -0.417484, -0.128178, -0.211091, 0.000000, 0.000000], [-0.316693, 0.085423, -0.515898, 0.560318, 0.458508, 0.175956, 0.264666, 0.032597, 0.000000, 0.000000], [0.478280, 0.335483, 0.007729, 0.610214, -0.243000, -0.322745, -0.137495, -0.322738, 0.000000, 0.000000]]
fourier: [[19.539913, 22.164765, 26.535040, 28.471128, 86.175245], [35.080542, 38.996714, 42.519672, 45.637751, 221.949524], [23.846816, 25.878030, 30.811822, 32.259955, 89.654782], [19.981576, 22.893489, 23.319026, 25.260823, 78.968089], [16.777586, 18.014463, 18.723928, 20.135773, 22.876079], [23.797562, 28.678191, 31.262684, 36.055871, 217.903424], [25.210620, 27.255357, 27.397066, 27.467153, 43.187367], [27.468306, 27.668591, 27.808666, 41.589237, 175.718590]]
### 2
mean: [1.486118, -0.838090, 0.173861, 2.451384, -1.005123, 1.147680, -1.398402, 0.289480]
std: [0.881160, 1.497483, 0.610367, 1.643773, 1.728284, 0.886590, 1.437141, 0.565338]
pca: [[-0.157920, 0.677772, -0.574366, -0.026687, -0.027510, -0.384676, 0.060513, -0.180785, 0.000000, 0.000000], [0.439437, 0.351385, 0.076359, -0.266353, -0.152226, 0.567349, -0.125485, -0.495828, 0.000000, 0.000000], [0.128561, 0.278994, 0.672284, 0.352168, -0.217145, -0.473476, -0.060203, -0.233860, 0.000000, 0.000000], [-0.475738, 0.456357, 0.250317, 0.324717, 0.168482, 0.511200, 0.219823, 0.243474, 0.000000, 0.000000], [0.515686, 0.249907, -0.096314, 0.251493, 0.280700, 0.008497, -0.487877, 0.531226, 0.000000, 0.000000], [-0.253033, -0.194113, -0.278739, 0.542879, -0.426988, 0.192344, -0.509733, -0.216191, 0.000000, 0.000000], [0.427182, -0.142620, -0.246456, 0.575471, 0.110347, 0.069798, 0.598014, -0.174925, 0.000000, 0.000000], [-0.163279, -0.102862, 0.043997, 0.098726, 0.791988, -0.051915, -0.270507, -0.497959, 0.000000, 0.000000]]
fourier: [[13.527245, 14.492712, 15.977999, 20.475024, 133.750608], [23.209201, 23.925415, 25.019965, 31.438280, 75.428125], [9.479047, 9.870060, 11.050820, 11.909466, 15.647484], [26.340295, 26.804176, 30.590716, 33.083120, 220.624568], [27.281840, 27.560808, 27.978554, 32.195874, 90.461070], [14.013655, 14.823191, 15.527138, 19.103321, 103.291211], [22.905799, 24.245283, 25.179537, 26.415582, 125.856191], [8.839869, 9.152958, 9.834760, 11.912947, 26.053184]]
### 4
mean: [-0.184811, 0.664544, -1.071750, 0.789479, -0.075773, 1.709248, 1.799577, -1.488939]
std: [0.189379, 0.495929, 0.579600, 0.368188, 0.562092, 0.781769, 1.103124, 1.726600]
pca: [[-0.013204, -0.096728, 0.825989, -0.092907, -0.040945, -0.220185, 0.473798, 0.157917, 0.000000, 0.000000], [-0.177210, 0.472692, 0.280853, 0.228210, 0.459674, -0.363055, -0.355519, -0.380392, 0.000000, 0.000000], [0.242912, -0.044069, 0.041004, 0.552567, 0.513745, 0.519899, 0.311555, 0.027286, 0.000000, 0.000000], [-0.138392, 0.222809, -0.217587, 0.662145, -0.354245, -0.404089, 0.223533, 0.326617, 0.000000, 0.000000], [0.214970, 0.426891, -0.326258, -0.309567, 0.085079, -0.163204, 0.646773, -0.342181, 0.000000, 0.000000], [-0.315930, 0.440851, 0.220821, 0.071624, -0.493708, 0.577612, 0.026620, -0.271764, 0.000000, 0.000000], [-0.462371, 0.355452, -0.096075, -0.298961, 0.356092, 0.151925, 0.056997, 0.638848, 0.000000, 0.000000], [0.728322, 0.461181, 0.159382, -0.071988, -0.140763, 0.052666, -0.282518, 0.351952, 0.000000, 0.000000]]
fourier: [[2.680967, 2.693792, 2.923266, 4.898018, 16.633006], [8.267961, 8.451952, 8.627228, 12.097761, 59.808981], [8.705733, 9.846186, 10.533262, 11.674826, 96.457511], [5.589778, 6.059716, 6.680570, 9.296877, 71.053147], [8.579630, 9.130565, 9.938290, 10.647508, 11.521101], [12.511971, 13.250466, 14.326390, 18.847129, 153.832302], [17.948893, 18.299526, 20.171910, 24.599401, 161.961944], [27.615048, 28.761125, 31.343414, 33.124619, 134.004534]]
### 6
mean: [1.864072, -1.361650, 1.578614, 0.343005, -0.610864, -0.898867, -0.275480, 0.099131]
std: [1.221612, 1.038388, 0.797665, 0.333834, 0.644108, 0.597329, 0.081451, 0.145941]
pca: [[0.602858, 0.609897, -0.031657, 0.152773, -0.212969, 0.089775, -0.431890, 0.017353, 0.000000, 0.000000], [-0.516368, 0.220850, -0.231320, 0.455902, -0.127316, -0.137999, -0.172538, 0.598507, 0.000000, 0.000000], [0.396665, -0.093189, 0.194491, 0.669744, 0.215064, -0.063312, 0.530585, 0.125727, 0.000000, 0.000000], [0.162294, -0.231809, 0.152341, -0.057727, 0.691235, -0.276507, -0.520213, 0.261729, 0.000000, 0.000000], [-0.311568, 0.543300, -0.130909, 0.147510, 0.510186, -0.140314, 0.092075, -0.529527, 0.000000, 0.000000], [-0.295685, -0.025819, 0.779177, 0.284236, -0.119865, 0.280365, -0.296711, -0.207331, 0.000000, 0.000000], [0.002795, -0.243374, -0.429850, 0.245450, 0.237993, 0.774066, -0.181281, -0.084040, 0.000000, 0.000000], [0.041609, -0.402193, -0.274643, 0.392593, -0.288233, -0.441544, -0.319658, -0.476163, 0.000000, 0.000000]]
fourier: [[19.910921, 20.552491, 21.541971, 29.317448, 167.766478], [17.284435, 17.371386, 17.790677, 23.973525, 122.548539], [13.370466, 13.385844, 13.707460, 18.449093, 142.075303], [5.374642, 5.639945, 5.902840, 7.447641, 30.870464], [10.574469, 10.630613, 11.662497, 13.900807, 54.977721], [10.002233, 10.166173, 10.284249, 14.529419, 80.897996], [1.241202, 1.271166, 1.397549, 1.578374, 24.793213], [2.114957, 2.284354, 2.536810, 2.919118, 8.921777]]
### 8
mean: [-1.557301, 0.389887, 1.575577, -1.177988, -1.181351, -1.264553, -0.491977, -0.647675]
std: [1.280518, 0.435956, 0.898301, 0.892411, 0.877774, 0.744961, 0.432391, 0.439499]
pca: [[0.566630, -0.004803, -0.165280, 0.324450, 0.591573, 0.375472, 0.057614, 0.228176, 0.000000, 0.000000], [-0.191990, -0.113832, 0.620153, -0.197430, 0.284055, -0.126102, 0.194410, 0.626283, 0.000000, 0.000000], [-0.396831, 0.303497, 0.257192, 0.224251, 0.213531, 0.369692, 0.514396, -0.432559, 0.000000, 0.000000], [0.394695, 0.151492, 0.195750, -0.411162, 0.384751, -0.483850, 0.086237, -0.473617, 0.000000, 0.000000], [0.388145, -0.196073, -0.072960, -0.272683, -0.442132, 0.153868, 0.711053, 0.080423, 0.000000, 0.000000], [0.328605, -0.270405, 0.604932, 0.542166, -0.298386, -0.079629, -0.127649, -0.217585, 0.000000, 0.000000], [0.189890, 0.286086, 0.334667, -0.458808, -0.166099, 0.610438, -0.396730, -0.044416, 0.000000, 0.000000], [0.184703, 0.823742, 0.018957, 0.240014, -0.252232, -0.263981, 0.086950, 0.297491, 0.000000, 0.000000]]
fourier: [[21.739997, 21.822103, 21.870571, 29.993093, 140.157120], [7.194540, 7.425595, 7.426174, 10.409070, 35.089806], [15.067264, 15.153714, 15.168042, 21.349078, 141.801927], [15.262401, 15.270067, 15.490999, 20.668422, 106.018917], [14.746480, 14.765779, 14.784189, 20.785054, 106.321573], [12.474317, 12.616155, 12.706011, 17.320780, 113.809765], [7.293647, 7.426365, 7.640180, 9.737582, 44.277928], [7.449181, 7.612077, 8.035523, 9.381368, 58.290786]]
### 10
mean: [0.011237, -0.491463, -0.392651, -0.428617, -0.571138, -0.429280, -0.421939, -0.226760]
std: [0.223871, 0.508964, 0.512041, 0.461781, 0.489716, 0.435380, 0.325215, 0.165349]
pca: [[0.160380, -0.431511, 0.555170, 0.458288, 0.266204, 0.275376, -0.076228, -0.342532, 0.000000, 0.000000], [0.439409, 0.428993, 0.081929, -0.307148, 0.249472, 0.614868, 0.285296, 0.011860, 0.000000, 0.000000], [0.445670, 0.378100, -0.291983, 0.405508, -0.334323, -0.102917, -0.199753, -0.496450, 0.000000, 0.000000], [0.392627, -0.463156, -0.236449, 0.194314, -0.328981, 0.023532, 0.594340, 0.275032, 0.000000, 0.000000], [0.434125, -0.203635, 0.012655, -0.445782, 0.377326, -0.575534, 0.077033, -0.302718, 0.000000, 0.000000], [0.388948, -0.007175, 0.505889, -0.230204, -0.478511, -0.075171, -0.416049, 0.363361, 0.000000, 0.000000], [0.290123, 0.059373, -0.249792, 0.375139, 0.522456, -0.095785, -0.334275, 0.561519, 0.000000, 0.000000], [-0.067107, 0.476704, 0.474798, 0.317795, 0.050911, -0.434620, 0.478419, 0.146466, 0.000000, 0.000000]]
fourier: [[2.753905, 3.101433, 3.580334, 3.707250, 3.750044], [8.357343, 8.725874, 8.794307, 11.986839, 44.231635], [8.179484, 8.650166, 8.838209, 12.070684, 35.338559], [7.647948, 7.846547, 7.959663, 8.471235, 38.575513], [8.011380, 8.118099, 8.571092, 10.126175, 51.402415], [7.022147, 7.408904, 7.646113, 9.474173, 38.635243], [5.336889, 5.338342, 5.687141, 7.338635, 37.974539], [2.199083, 2.367613, 2.438621, 2.552343, 20.408363]]
### 12
mean: [-0.597433]
std: [0.630639]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.852881, 8.964489, 9.368106, 9.701023, 53.768952]]
## 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": [[0.289548, 0.137029, 0.367746, -0.357975, 0.013306], [0.555143, 0.619867, -0.153394, 0.467862, -0.244723], [-0.364619, 0.119564, 0.027035, -0.017483, -0.628065], [0.046231, -0.268926, 0.271166, -0.504692, 0.044469], [0.388575, 0.289002, 0.081587, -0.140181, -0.263498], [-0.185854, -0.339063, 0.05352, -0.068059, -0.714391], [-0.649399, -0.226779, 0.305989, 0.222086, 0.422881], [0.078518, 0.667101, 0.531863, -0.287337, 0.107448]], "network.0.bias": [0.330546, 0.264669, -0.004656, 0.016091, -0.401504, -0.656783, 0.064261, 0.011768], "network.2.weight": [[-0.138499, 0.518692, -0.364925, 0.480572, -0.086761, -0.437196, 0.19996, -0.056641], [-0.386222, -0.235214, 0.222163, -0.395802, -0.069351, 0.212787, 0.49516, -0.276449], [0.026274, 0.000866, -0.251933, -0.252982, -0.472961, -0.132171, 0.379186, 0.064308], [0.176996, 0.592003, -0.342935, 0.499925, -0.313476, 0.101324, -0.005144, 0.399277], [-0.269158, -0.233452, 0.335803, -0.175728, -0.270631, 0.095883, 0.430721, -0.432539], [0.436123, 0.228977, -0.195089, 0.401232, 0.005896, -0.229073, -0.220525, -0.037833], [-0.026365, -0.285243, 0.237168, 0.021504, -0.14744, 0.219738, 0.159081, -0.472267], [0.053051, 0.087715, 0.232726, 0.20037, -0.080038, 0.241375, -0.247559, 0.177661]], "network.2.bias": [0.271777, 0.343963, -0.076453, 0.145037, 0.459495, 0.339966, 0.180509, -0.09429], "network.4.weight": [[-0.287557, 0.3243, 0.054502, 0.208238, -0.284733, -0.193924, -0.526036, 0.125357], [0.155707, 0.263494, 0.045387, 0.368149, -0.365892, -0.191568, -0.606012, -0.433324], [-0.083153, -0.12917, 0.012614, -0.218664, 0.104228, -0.147146, 0.243788, -0.088682], [0.299048, -0.105216, 0.271796, -0.018841, -0.310979, 0.282111, -0.337162, -0.289353], [0.241256, 0.12148, 0.205915, -0.31244, 0.242448, -0.112712, 0.237985, 0.128958], [0.25223, -0.180521, 0.424943, 0.35583, -0.104819, 0.168416, -0.533754, -0.37789], [0.324177, -0.173262, 0.049511, 0.489415, -0.155064, 0.0257, -0.295287, -0.076503], [-0.134559, 0.50301, 0.210192, -0.576147, 0.499557, -0.397462, 0.191604, -0.276354]], "network.4.bias": [-0.161545, -0.144849, -0.239945, 0.168122, 0.348076, 0.340596, 0.179588, 0.427466], "network.6.weight": [[0.141042, 0.602684, 0.045578, 0.506395, 0.145712, 0.175661, 0.562328, -0.190619], [-0.190312, -0.176757, 0.019539, -0.542224, 0.486307, -0.178967, -0.423305, 0.257222], [0.211758, 0.159759, -0.281124, -0.047375, -0.310662, 0.488788, 0.219437, -0.205066], [0.314844, -0.106598, -0.511934, 0.290125, -0.337986, 0.133307, 0.08642, -0.021666], [-0.46813, -0.129775, -0.214292, -0.182086, 0.450969, 0.002827, -0.301474, 0.34819], [-0.261371, -0.389988, 0.256516, -0.506905, -0.04594, 0.009793, -0.198924, 0.299124], [0.561766, -0.03255, 0.393435, 0.079481, 0.104988, 0.095653, -0.110581, -0.244903], [0.270605, 0.129008, 0.130097, -0.220911, -0.244061, 0.115021, -0.075385, -0.20902]], "network.6.bias": [-0.036121, 0.045076, 0.361673, -0.16953, -0.020532, -0.029313, -0.178171, 0.179584], "network.8.weight": [[-0.579313, 0.221666, -0.472281, -0.410296, 0.409298, 0.3466, 0.026651, -0.116764], [0.272868, -0.479988, 0.000738, 0.332206, 0.055874, -0.247805, 0.001136, -0.003], [0.489319, -0.406635, 0.247939, 0.315984, 0.145317, -0.298187, 0.080503, 0.176098], [-0.302907, 0.075612, -0.570982, 0.080031, 0.294663, 0.230452, -0.434412, -0.354351], [-0.426366, 0.295717, -0.291248, -0.40579, -0.143368, 0.479275, -0.488675, -0.216255], [-0.189674, 0.071855, -0.44525, -0.558778, 0.057903, -0.117564, -0.094969, -0.022977], [-0.062612, -0.039557, -0.368275, -0.000389, 0.113497, 0.402045, -0.035079, -0.577238], [0.076533, 0.344155, -0.511705, -0.079105, 0.348637, 0.013769, -0.54652, -0.214706]], "network.8.bias": [0.380571, -0.23354, 0.196116, 0.223883, 0.146453, -0.126984, 0.252437, -0.00634], "network.10.weight": [[-0.061598, 0.115716, -0.079135, 0.478867, 0.531524, 0.117949, 0.176137, 0.490453], [0.242363, -0.273018, -0.382178, 0.050708, 0.330184, -0.168496, 0.155505, 0.20685], [0.389378, -0.285869, -0.412189, 0.277551, 0.225779, 0.273292, -0.063246, -0.042135], [0.509421, -0.311534, -0.13305, 0.581664, 0.450967, 0.310509, 0.221683, 0.553926], [0.464555, -0.396154, -0.160242, 0.426411, 0.26519, -0.07808, 0.540895, 0.519722], [0.410148, 0.158506, -0.388213, 0.170372, 0.119012, 0.1205, 0.227356, 0.448088], [0.105981, -0.404892, -0.14073, 0.387504, 0.399106, 0.168485, 0.078733, 0.117767], [-0.229603, 0.314571, -0.171803, -0.305088, -0.180535, -0.025612, -0.084814, -0.398285]], "network.10.bias": [0.242047, 0.217883, 0.367468, 0.05535, -0.053676, 0.209852, 0.005899, -0.157946], "network.12.weight": [[0.128178, 0.202324, 0.305771, 0.555379, 0.488372, 0.586073, 0.406651, 0.048387]], "network.12.bias": [-0.380024]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6841281652450562, "train_acc": 0.57, "val_loss": 0.6998827457427979, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6798122227191925, "train_acc": 0.57, "val_loss": 0.6954192519187927, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6793588101863861, "train_acc": 0.57, "val_loss": 0.6905496716499329, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6725855469703674, "train_acc": 0.57, "val_loss": 0.6743864417076111, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6503490209579468, "train_acc": 0.57, "val_loss": 0.6309550404548645, "val_acc": 0.68}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5985175371170044, "train_acc": 0.76, "val_loss": 0.5108234882354736, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5231990218162537, "train_acc": 0.84, "val_loss": 0.40138816833496094, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4177694171667099, "train_acc": 0.895, "val_loss": 0.3645852208137512, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3600012809038162, "train_acc": 0.92, "val_loss": 0.27682799100875854, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.35277825593948364, "train_acc": 0.94, "val_loss": 0.25433549284935, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.2961530536413193, "train_acc": 0.94, "val_loss": 0.26472651958465576, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.28128157556056976, "train_acc": 0.94, "val_loss": 0.2093580961227417, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.2517240270972252, "train_acc": 0.93, "val_loss": 0.19838985800743103, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2292223647236824, "train_acc": 0.945, "val_loss": 0.20229503512382507, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.2144012227654457, "train_acc": 0.95, "val_loss": 0.1840609312057495, "val_acc": 0.98}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6998827457427979, "final_val_loss": 0.6309550404548645, "initial_val_acc": 0.5, "final_val_acc": 0.68, "best_val_acc": 0.68}, "improved_stage": {"initial_val_loss": 0.5108234882354736, "final_val_loss": 0.1840609312057495, "initial_val_acc": 0.82, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 9}, "improvement": 0.29999999999999993, "first_improvement_epoch": 4}}
|
9,959
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5037, "learning_rate": 0.02347369689467098, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.21734,
0.204319,
0.301074,
-0.10912,
0.252171,
0.244349,
0.063349
],
[
0.285684,
-0.464775,
0.125884,
0.042463,
0.118397,
0.473233,
0.403047
],
[
-0.237637,
0.202221,
0.148341,
0.038328,
0.178663,
0.017021,
-0.191934
],
[
0.01578,
0.164097,
0.332519,
0.192485,
0.018729,
0.339619,
0.316854
],
[
0.113503,
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0.222455,
-0.226103,
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0.177465,
0.297069
]
],
"network.6.bias": [
-0.339609,
0.387055,
-0.314985,
0.034321,
-0.416876,
-0.110938,
-0.07775
],
"network.8.weight": [
[
-0.196656,
0.400455,
-0.156679,
-0.44209,
-0.369576,
-0.237209,
-0.423782
]
],
"network.8.bias": [
0.368123
]
}
## Activation Signature
### 0
mean: [-1.085209, 0.387619, 2.163992, 2.671095, 0.754928, 0.847816, -1.935414]
std: [1.539997, 0.777582, 1.666946, 2.205583, 1.584952, 1.426069, 1.547738]
pca: [[-0.133966, 0.352860, 0.768043, 0.436839, -0.111651, 0.065270, -0.245148, 0.000000, 0.000000, 0.000000], [0.111918, 0.149860, 0.284234, -0.160673, 0.814195, 0.130147, 0.422565, 0.000000, 0.000000, 0.000000], [0.450350, 0.053685, -0.378606, 0.734817, 0.286342, 0.034893, -0.166718, 0.000000, 0.000000, 0.000000], [0.743780, 0.038150, 0.238971, -0.066210, -0.420356, -0.099457, 0.444132, 0.000000, 0.000000, 0.000000], [0.283376, -0.562753, 0.228266, -0.152209, 0.054806, 0.615445, -0.382044, 0.000000, 0.000000, 0.000000], [-0.033986, 0.586914, -0.275638, -0.094885, -0.199394, 0.718946, 0.112944, 0.000000, 0.000000, 0.000000], [-0.363382, -0.433054, 0.028092, 0.454802, -0.152212, 0.268395, 0.614474, 0.000000, 0.000000, 0.000000]]
fourier: [[23.587309, 24.708853, 24.721741, 27.535028, 97.668826], [11.926003, 12.238402, 12.616772, 14.001425, 34.885735], [28.005951, 29.774895, 32.425881, 32.826959, 194.759300], [36.510479, 39.335042, 39.748284, 40.601424, 240.398600], [24.922291, 25.436340, 26.255969, 26.835761, 67.943495], [22.968004, 24.941875, 26.518578, 27.158446, 76.303424], [23.495808, 24.961490, 28.202344, 30.451784, 174.187204]]
### 2
mean: [0.272756, 1.287601, -0.176855, 1.461337, -2.300674, 0.254297, -0.028596]
std: [0.692189, 1.802394, 0.469573, 0.991426, 1.670670, 0.727815, 0.738428]
pca: [[0.129267, 0.421037, -0.127429, 0.367651, -0.420738, 0.687628, 0.068993, 0.000000, 0.000000, 0.000000], [0.680710, 0.322138, 0.490507, -0.073628, 0.427128, 0.065116, 0.012798, 0.000000, 0.000000, 0.000000], [-0.039196, -0.158253, 0.655449, 0.168318, -0.520463, -0.226811, 0.439488, 0.000000, 0.000000, 0.000000], [0.355752, -0.252777, -0.152141, 0.765750, -0.010785, -0.325567, -0.306454, 0.000000, 0.000000, 0.000000], [-0.580762, 0.554760, 0.266839, 0.376169, 0.298043, -0.186058, -0.137129, 0.000000, 0.000000, 0.000000], [-0.159996, -0.419069, 0.019052, 0.319115, 0.529068, 0.391837, 0.512967, 0.000000, 0.000000, 0.000000], [0.170130, 0.382933, -0.467801, 0.037011, 0.028294, -0.421114, 0.652742, 0.000000, 0.000000, 0.000000]]
fourier: [[10.367141, 10.942752, 11.947854, 14.703082, 24.548047], [27.187968, 27.965579, 28.346264, 28.648983, 115.884053], [7.687546, 7.860603, 9.327317, 9.700220, 15.916927], [15.902922, 16.713951, 16.837211, 17.750294, 131.520391], [26.678325, 29.724257, 30.769116, 32.303353, 207.060658], [11.200230, 13.057508, 13.267512, 13.399552, 22.886718], [11.095776, 11.314709, 11.354568, 13.262489, 13.453936]]
### 4
mean: [0.511774, 0.083475, 0.890974, -0.745235, -0.717410, 0.751666, 1.101700]
std: [0.908264, 0.497971, 1.050623, 0.361529, 0.622055, 1.159847, 1.040107]
pca: [[0.408191, 0.232033, 0.528734, 0.280971, 0.183255, 0.559902, -0.271963, 0.000000, 0.000000, 0.000000], [-0.181812, -0.549061, 0.628606, 0.323670, -0.099062, -0.197581, 0.341639, 0.000000, 0.000000, 0.000000], [0.476913, -0.132521, -0.057574, -0.354842, -0.428703, 0.353477, 0.563056, 0.000000, 0.000000, 0.000000], [-0.061144, 0.638629, 0.448146, -0.355409, 0.145910, -0.342619, 0.350124, 0.000000, 0.000000, 0.000000], [-0.261296, 0.448896, -0.214250, 0.648117, -0.324207, 0.164250, 0.363551, 0.000000, 0.000000, 0.000000], [0.527114, -0.059474, -0.263389, 0.334354, 0.573154, -0.297883, 0.346710, 0.000000, 0.000000, 0.000000], [0.472245, 0.119331, 0.076605, 0.179488, -0.563837, -0.537983, -0.342523, 0.000000, 0.000000, 0.000000]]
fourier: [[13.864926, 14.587764, 14.877347, 15.729590, 46.059693], [7.529590, 7.545526, 7.778860, 7.877681, 8.873621], [16.074863, 16.504145, 16.817604, 18.036338, 80.187662], [5.717969, 6.185783, 6.328631, 7.221088, 67.071144], [10.009233, 10.063832, 10.499857, 10.660915, 64.566871], [17.322350, 17.838698, 18.007832, 19.466516, 67.649966], [15.466790, 16.868140, 16.961343, 17.600146, 99.152960]]
### 6
mean: [0.302016, -0.020434, 0.160568, 1.059196, -0.571998, 0.888111, 0.615282]
std: [0.579031, 0.395123, 0.430111, 1.361642, 0.267640, 1.015368, 0.857013]
pca: [[0.276527, 0.327323, 0.582995, -0.447157, -0.280670, 0.239116, 0.374976, 0.000000, 0.000000, 0.000000], [-0.189312, -0.155313, -0.043876, 0.073489, 0.585614, 0.201001, 0.741194, 0.000000, 0.000000, 0.000000], [0.201730, 0.511735, -0.481036, -0.079585, -0.083239, -0.569507, 0.358380, 0.000000, 0.000000, 0.000000], [0.652709, -0.483353, -0.226123, -0.475684, 0.236130, -0.030013, -0.079220, 0.000000, 0.000000, 0.000000], [-0.123670, 0.396914, -0.510953, -0.303383, 0.075015, 0.658533, -0.186436, 0.000000, 0.000000, 0.000000], [0.486272, 0.432972, 0.232584, 0.416783, 0.529550, 0.071604, -0.250441, 0.000000, 0.000000, 0.000000], [0.411356, -0.168018, -0.245960, 0.544326, -0.479107, 0.372009, 0.278987, 0.000000, 0.000000, 0.000000]]
fourier: [[8.845788, 9.106274, 9.372971, 10.335909, 27.181450], [5.679710, 6.180059, 6.209179, 6.233199, 6.912495], [6.491822, 6.645181, 6.853940, 7.601025, 14.451118], [20.888559, 21.209158, 22.577261, 22.690499, 95.327647], [4.101967, 4.223319, 4.325099, 4.574651, 51.479785], [15.887153, 16.123185, 16.311115, 17.716877, 79.929996], [13.253694, 13.309209, 14.198444, 14.343192, 55.375399]]
### 8
mean: [-0.661784]
std: [1.375307]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.603576, 22.053737, 22.232158, 23.712806, 59.560528]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.298561,
0.219524,
-0.406834,
-0.565596,
0.464669
],
[
0.348048,
0.074809,
-0.151823,
0.08582,
0.080762
],
[
0.101441,
-0.416489,
0.644882,
0.339891,
0.308967
],
[
0.070252,
0.252527,
0.282082,
0.556316,
0.687901
],
[
-0.203999,
-0.17805,
-0.2203,
0.625668,
0.290311
],
[
0.204248,
0.335258,
0.369635,
-0.389303,
-0.200446
],
[
-0.307867,
-0.43171,
-0.29173,
-0.133984,
-0.06619
]
],
"network.0.bias": [
-0.367146,
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0.339667,
-0.507127,
0.093662,
0.292653,
0.212728
],
"network.2.weight": [
[
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],
[
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0.63508,
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],
[
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0.336965,
-0.178346,
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],
[
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0.120624,
0.349721,
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0.22195,
0.068258
],
[
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-0.43089,
-0.442471,
-0.442667,
-0.030623,
0.071831,
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],
[
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0.09299,
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-0.353076,
0.279836,
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],
[
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0.062095,
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0.189642,
0.359015,
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0.255874
]
],
"network.2.bias": [
0.309202,
-0.203638,
-0.207838,
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0.057427,
0.178947,
-0.125047
],
"network.4.weight": [
[
0.312274,
0.317593,
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0.179766,
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0.08592
],
[
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0.283497,
0.532717,
0.245332,
0.225084
],
[
0.222312,
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0.040548,
0.185732,
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0.04289,
0.021333
],
[
-0.071684,
0.046342,
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0.367591,
-0.166759,
0.157447
],
[
0.166224,
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0.232997,
-0.249396,
-0.23674,
-0.19892,
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],
[
0.256365,
0.448467,
0.318219,
0.331018,
-0.365091,
-0.379938,
-0.057492
],
[
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0.440858,
0.147426,
0.133236,
0.198975,
-0.217566,
0.264867
]
],
"network.4.bias": [
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0.13191,
-0.224471,
-0.16574,
0.069673,
-0.336206,
0.211123
],
"network.6.weight": [
[
-0.05917,
0.240483,
-0.107527,
0.152541,
0.188236,
0.413592,
0.324801
],
[
0.068255,
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-0.061552,
-0.084643,
-0.224058,
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],
[
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0.301074,
-0.10912,
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0.063349
],
[
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0.125884,
0.042463,
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0.473233,
0.403047
],
[
-0.237637,
0.202221,
0.148341,
0.038328,
0.178663,
0.017021,
-0.191934
],
[
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0.332519,
0.192485,
0.018729,
0.339619,
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],
[
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0.222455,
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0.177465,
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]
],
"network.6.bias": [
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0.387055,
-0.314985,
0.034321,
-0.416876,
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],
"network.8.weight": [
[
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0.400455,
-0.156679,
-0.44209,
-0.369576,
-0.237209,
-0.423782
]
],
"network.8.bias": [
0.368123
]
}
## Activation Signature
### 0
mean: [-1.085209, 0.387619, 2.163992, 2.671095, 0.754928, 0.847816, -1.935414]
std: [1.539997, 0.777582, 1.666946, 2.205583, 1.584952, 1.426069, 1.547738]
pca: [[-0.133966, 0.352860, 0.768043, 0.436839, -0.111651, 0.065270, -0.245148, 0.000000, 0.000000, 0.000000], [0.111918, 0.149860, 0.284234, -0.160673, 0.814195, 0.130147, 0.422565, 0.000000, 0.000000, 0.000000], [0.450350, 0.053685, -0.378606, 0.734817, 0.286342, 0.034893, -0.166718, 0.000000, 0.000000, 0.000000], [0.743780, 0.038150, 0.238971, -0.066210, -0.420356, -0.099457, 0.444132, 0.000000, 0.000000, 0.000000], [0.283376, -0.562753, 0.228266, -0.152209, 0.054806, 0.615445, -0.382044, 0.000000, 0.000000, 0.000000], [-0.033986, 0.586914, -0.275638, -0.094885, -0.199394, 0.718946, 0.112944, 0.000000, 0.000000, 0.000000], [-0.363382, -0.433054, 0.028092, 0.454802, -0.152212, 0.268395, 0.614474, 0.000000, 0.000000, 0.000000]]
fourier: [[23.587309, 24.708853, 24.721741, 27.535028, 97.668826], [11.926003, 12.238402, 12.616772, 14.001425, 34.885735], [28.005951, 29.774895, 32.425881, 32.826959, 194.759300], [36.510479, 39.335042, 39.748284, 40.601424, 240.398600], [24.922291, 25.436340, 26.255969, 26.835761, 67.943495], [22.968004, 24.941875, 26.518578, 27.158446, 76.303424], [23.495808, 24.961490, 28.202344, 30.451784, 174.187204]]
### 2
mean: [0.272756, 1.287601, -0.176855, 1.461337, -2.300674, 0.254297, -0.028596]
std: [0.692189, 1.802394, 0.469573, 0.991426, 1.670670, 0.727815, 0.738428]
pca: [[0.129267, 0.421037, -0.127429, 0.367651, -0.420738, 0.687628, 0.068993, 0.000000, 0.000000, 0.000000], [0.680710, 0.322138, 0.490507, -0.073628, 0.427128, 0.065116, 0.012798, 0.000000, 0.000000, 0.000000], [-0.039196, -0.158253, 0.655449, 0.168318, -0.520463, -0.226811, 0.439488, 0.000000, 0.000000, 0.000000], [0.355752, -0.252777, -0.152141, 0.765750, -0.010785, -0.325567, -0.306454, 0.000000, 0.000000, 0.000000], [-0.580762, 0.554760, 0.266839, 0.376169, 0.298043, -0.186058, -0.137129, 0.000000, 0.000000, 0.000000], [-0.159996, -0.419069, 0.019052, 0.319115, 0.529068, 0.391837, 0.512967, 0.000000, 0.000000, 0.000000], [0.170130, 0.382933, -0.467801, 0.037011, 0.028294, -0.421114, 0.652742, 0.000000, 0.000000, 0.000000]]
fourier: [[10.367141, 10.942752, 11.947854, 14.703082, 24.548047], [27.187968, 27.965579, 28.346264, 28.648983, 115.884053], [7.687546, 7.860603, 9.327317, 9.700220, 15.916927], [15.902922, 16.713951, 16.837211, 17.750294, 131.520391], [26.678325, 29.724257, 30.769116, 32.303353, 207.060658], [11.200230, 13.057508, 13.267512, 13.399552, 22.886718], [11.095776, 11.314709, 11.354568, 13.262489, 13.453936]]
### 4
mean: [0.511774, 0.083475, 0.890974, -0.745235, -0.717410, 0.751666, 1.101700]
std: [0.908264, 0.497971, 1.050623, 0.361529, 0.622055, 1.159847, 1.040107]
pca: [[0.408191, 0.232033, 0.528734, 0.280971, 0.183255, 0.559902, -0.271963, 0.000000, 0.000000, 0.000000], [-0.181812, -0.549061, 0.628606, 0.323670, -0.099062, -0.197581, 0.341639, 0.000000, 0.000000, 0.000000], [0.476913, -0.132521, -0.057574, -0.354842, -0.428703, 0.353477, 0.563056, 0.000000, 0.000000, 0.000000], [-0.061144, 0.638629, 0.448146, -0.355409, 0.145910, -0.342619, 0.350124, 0.000000, 0.000000, 0.000000], [-0.261296, 0.448896, -0.214250, 0.648117, -0.324207, 0.164250, 0.363551, 0.000000, 0.000000, 0.000000], [0.527114, -0.059474, -0.263389, 0.334354, 0.573154, -0.297883, 0.346710, 0.000000, 0.000000, 0.000000], [0.472245, 0.119331, 0.076605, 0.179488, -0.563837, -0.537983, -0.342523, 0.000000, 0.000000, 0.000000]]
fourier: [[13.864926, 14.587764, 14.877347, 15.729590, 46.059693], [7.529590, 7.545526, 7.778860, 7.877681, 8.873621], [16.074863, 16.504145, 16.817604, 18.036338, 80.187662], [5.717969, 6.185783, 6.328631, 7.221088, 67.071144], [10.009233, 10.063832, 10.499857, 10.660915, 64.566871], [17.322350, 17.838698, 18.007832, 19.466516, 67.649966], [15.466790, 16.868140, 16.961343, 17.600146, 99.152960]]
### 6
mean: [0.302016, -0.020434, 0.160568, 1.059196, -0.571998, 0.888111, 0.615282]
std: [0.579031, 0.395123, 0.430111, 1.361642, 0.267640, 1.015368, 0.857013]
pca: [[0.276527, 0.327323, 0.582995, -0.447157, -0.280670, 0.239116, 0.374976, 0.000000, 0.000000, 0.000000], [-0.189312, -0.155313, -0.043876, 0.073489, 0.585614, 0.201001, 0.741194, 0.000000, 0.000000, 0.000000], [0.201730, 0.511735, -0.481036, -0.079585, -0.083239, -0.569507, 0.358380, 0.000000, 0.000000, 0.000000], [0.652709, -0.483353, -0.226123, -0.475684, 0.236130, -0.030013, -0.079220, 0.000000, 0.000000, 0.000000], [-0.123670, 0.396914, -0.510953, -0.303383, 0.075015, 0.658533, -0.186436, 0.000000, 0.000000, 0.000000], [0.486272, 0.432972, 0.232584, 0.416783, 0.529550, 0.071604, -0.250441, 0.000000, 0.000000, 0.000000], [0.411356, -0.168018, -0.245960, 0.544326, -0.479107, 0.372009, 0.278987, 0.000000, 0.000000, 0.000000]]
fourier: [[8.845788, 9.106274, 9.372971, 10.335909, 27.181450], [5.679710, 6.180059, 6.209179, 6.233199, 6.912495], [6.491822, 6.645181, 6.853940, 7.601025, 14.451118], [20.888559, 21.209158, 22.577261, 22.690499, 95.327647], [4.101967, 4.223319, 4.325099, 4.574651, 51.479785], [15.887153, 16.123185, 16.311115, 17.716877, 79.929996], [13.253694, 13.309209, 14.198444, 14.343192, 55.375399]]
### 8
mean: [-0.661784]
std: [1.375307]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.603576, 22.053737, 22.232158, 23.712806, 59.560528]]
## 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": 0.6768706440925598, "train_acc": 0.565, "val_loss": 0.6565452814102173, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6583735644817352, "train_acc": 0.57, "val_loss": 0.6187774538993835, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.627587616443634, "train_acc": 0.59, "val_loss": 0.5794928073883057, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5642091035842896, "train_acc": 0.76, "val_loss": 0.5099813938140869, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5364893078804016, "train_acc": 0.78, "val_loss": 0.4532809853553772, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4652484208345413, "train_acc": 0.82, "val_loss": 0.4058736562728882, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.41898754239082336, "train_acc": 0.845, "val_loss": 0.374531626701355, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4020717591047287, "train_acc": 0.86, "val_loss": 0.35921409726142883, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.37251701951026917, "train_acc": 0.87, "val_loss": 0.36126410961151123, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.32178735733032227, "train_acc": 0.89, "val_loss": 0.3593812584877014, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.32077115774154663, "train_acc": 0.9, "val_loss": 0.3553222715854645, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3054477870464325, "train_acc": 0.9, "val_loss": 0.33607688546180725, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6565452814102173, "final_val_loss": 0.6187774538993835, "initial_val_acc": 0.5, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5794928073883057, "final_val_loss": 0.33607688546180725, "initial_val_acc": 0.76, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 5}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
9,960
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "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": 5873, "learning_rate": 0.06451804943072116, "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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}
## Activation Signature
### 0
mean: [1.636414, -0.011957, 0.341585, 1.136605, -0.305995, -1.030406]
std: [3.395551, 2.129969, 3.101544, 2.925444, 0.942137, 1.116728]
pca: [[0.619387, 0.180374, -0.498528, 0.031390, -0.537468, 0.213159, 0.000000, 0.000000, 0.000000, 0.000000], [0.061483, 0.856596, 0.418773, -0.268764, 0.002532, 0.121871, 0.000000, 0.000000, 0.000000, 0.000000], [0.522939, -0.395640, 0.729465, 0.011795, -0.190035, 0.040402, 0.000000, 0.000000, 0.000000, 0.000000], [0.544463, -0.005733, -0.198278, -0.348365, 0.656252, -0.334945, 0.000000, 0.000000, 0.000000, 0.000000], [0.156748, 0.057930, 0.002153, 0.531276, 0.493929, 0.667719, 0.000000, 0.000000, 0.000000, 0.000000], [0.134551, 0.271641, 0.068278, 0.723207, -0.019365, -0.616475, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.968360, 62.368523, 62.844550, 78.016980, 147.277268], [29.671867, 30.299767, 30.914188, 37.013388, 46.408271], [41.781752, 44.895430, 56.277184, 58.212064, 72.388108], [49.461065, 52.045406, 52.387871, 70.813003, 102.294478], [12.952072, 15.794734, 16.502335, 20.801274, 27.539573], [16.849715, 17.487558, 19.591212, 20.709607, 92.736572]]
### 2
mean: [-1.086448, -1.810828, 2.965959, 2.666775, 4.117285, -1.316339]
std: [1.177101, 2.513234, 3.829499, 3.680757, 5.215576, 1.404079]
pca: [[-0.103470, 0.690989, 0.517725, -0.011361, 0.424248, -0.252338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305346, -0.506885, 0.357790, 0.602131, 0.387457, 0.095567, 0.000000, 0.000000, 0.000000, 0.000000], [0.476447, -0.350277, 0.690571, -0.390922, -0.128641, 0.063630, 0.000000, 0.000000, 0.000000, 0.000000], [0.460006, 0.247761, 0.119839, 0.691357, -0.475164, -0.094300, 0.000000, 0.000000, 0.000000, 0.000000], [0.654400, 0.027821, -0.297685, 0.080192, 0.637112, 0.264629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170915, 0.284164, 0.155184, 0.009183, -0.147141, 0.918816, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.563616, 18.868604, 22.028051, 25.125933, 97.780344], [41.926786, 45.644245, 45.851250, 57.827959, 162.974513], [63.525033, 69.095289, 73.332208, 82.526780, 266.936281], [60.237934, 65.348402, 69.024894, 85.172378, 240.009764], [85.495235, 94.465861, 94.876135, 118.179359, 370.555609], [23.235962, 24.130643, 25.079840, 28.721129, 118.470503]]
### 4
mean: [7.262222, 7.853778, 1.031169, 0.793755, 4.251922, 7.178201]
std: [9.520498, 10.352805, 0.950723, 1.730150, 6.195859, 10.075796]
pca: [[0.515359, 0.143498, 0.189740, -0.123100, 0.768015, -0.269837, 0.000000, 0.000000, 0.000000, 0.000000], [0.560396, 0.212721, -0.034668, 0.295960, -0.101202, 0.735982, 0.000000, 0.000000, 0.000000, 0.000000], [0.050943, -0.135078, 0.899868, 0.326372, -0.220743, -0.118957, 0.000000, 0.000000, 0.000000, 0.000000], [0.089294, 0.853950, -0.026565, 0.044385, -0.339515, -0.380593, 0.000000, 0.000000, 0.000000, 0.000000], [0.335217, -0.330606, -0.389953, 0.638082, -0.123219, -0.451591, 0.000000, 0.000000, 0.000000, 0.000000], [0.545365, -0.278177, 0.016306, -0.617751, -0.469820, -0.150273, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[156.670738, 172.735872, 177.957380, 213.285293, 653.599949], [170.923059, 187.704987, 193.153955, 232.318510, 706.840033], [15.809518, 16.797153, 19.109638, 21.264263, 92.805234], [28.837887, 31.167379, 31.694194, 34.475341, 71.437948], [101.885814, 112.195917, 114.411049, 140.871879, 382.673003], [165.416302, 182.550376, 187.386548, 227.643548, 646.038063]]
### 6
mean: [15.654733, 12.550205, 15.213857, -0.107879, 1.122724, 1.806474]
std: [22.089365, 17.724756, 21.431475, 1.026585, 3.311076, 2.247199]
pca: [[0.617837, 0.085535, 0.095226, 0.371600, -0.513495, -0.447358, 0.000000, 0.000000, 0.000000, 0.000000], [0.495733, -0.352000, -0.483053, -0.111660, -0.155529, 0.600290, 0.000000, 0.000000, 0.000000, 0.000000], [0.599432, 0.207921, 0.164361, -0.367370, 0.644399, -0.142219, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027551, 0.711440, -0.093434, -0.516312, -0.440316, 0.154622, 0.000000, 0.000000, 0.000000, 0.000000], [0.092390, -0.182334, 0.849449, -0.103962, -0.208826, 0.426893, 0.000000, 0.000000, 0.000000, 0.000000], [0.062556, 0.534935, 0.016830, 0.661134, 0.243718, 0.461682, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[365.117398, 400.756497, 410.153385, 497.070319, 1408.925893], [293.442144, 321.279319, 330.194333, 397.328704, 1129.518275], [353.831142, 388.711073, 398.379608, 482.477545, 1369.247037], [17.622778, 17.765658, 17.823379, 18.378369, 21.621482], [56.283892, 59.419035, 59.519518, 75.808960, 101.045127], [38.029495, 41.426655, 41.625026, 50.823698, 162.582669]]
### 8
mean: [-21.261578]
std: [31.288404]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[518.625179, 564.323450, 579.227079, 703.582434, 1913.541906]]
## 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:
{
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0.895903,
-0.333014,
-0.113956,
0.171301
],
[
0.338574,
-0.112816,
0.268984,
0.444466,
0.669026,
-0.067982
],
[
-0.023202,
0.265303,
0.715601,
0.620841,
0.956558,
0.107936
]
],
"network.4.bias": [
0.021979,
0.081128,
0.236844,
-0.360423,
-0.368229,
-0.365221
],
"network.6.weight": [
[
0.201041,
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],
[
0.710935,
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],
[
0.271187,
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],
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-0.079768,
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],
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-0.437698,
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],
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0.040937,
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]
],
"network.6.bias": [
-0.261209,
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-0.276673,
0.119769,
-0.571955,
-0.039193
],
"network.8.weight": [
[
-0.427346,
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"network.8.bias": [
0.789616
]
}
## Activation Signature
### 0
mean: [1.636414, -0.011957, 0.341585, 1.136605, -0.305995, -1.030406]
std: [3.395551, 2.129969, 3.101544, 2.925444, 0.942137, 1.116728]
pca: [[0.619387, 0.180374, -0.498528, 0.031390, -0.537468, 0.213159, 0.000000, 0.000000, 0.000000, 0.000000], [0.061483, 0.856596, 0.418773, -0.268764, 0.002532, 0.121871, 0.000000, 0.000000, 0.000000, 0.000000], [0.522939, -0.395640, 0.729465, 0.011795, -0.190035, 0.040402, 0.000000, 0.000000, 0.000000, 0.000000], [0.544463, -0.005733, -0.198278, -0.348365, 0.656252, -0.334945, 0.000000, 0.000000, 0.000000, 0.000000], [0.156748, 0.057930, 0.002153, 0.531276, 0.493929, 0.667719, 0.000000, 0.000000, 0.000000, 0.000000], [0.134551, 0.271641, 0.068278, 0.723207, -0.019365, -0.616475, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.968360, 62.368523, 62.844550, 78.016980, 147.277268], [29.671867, 30.299767, 30.914188, 37.013388, 46.408271], [41.781752, 44.895430, 56.277184, 58.212064, 72.388108], [49.461065, 52.045406, 52.387871, 70.813003, 102.294478], [12.952072, 15.794734, 16.502335, 20.801274, 27.539573], [16.849715, 17.487558, 19.591212, 20.709607, 92.736572]]
### 2
mean: [-1.086448, -1.810828, 2.965959, 2.666775, 4.117285, -1.316339]
std: [1.177101, 2.513234, 3.829499, 3.680757, 5.215576, 1.404079]
pca: [[-0.103470, 0.690989, 0.517725, -0.011361, 0.424248, -0.252338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.305346, -0.506885, 0.357790, 0.602131, 0.387457, 0.095567, 0.000000, 0.000000, 0.000000, 0.000000], [0.476447, -0.350277, 0.690571, -0.390922, -0.128641, 0.063630, 0.000000, 0.000000, 0.000000, 0.000000], [0.460006, 0.247761, 0.119839, 0.691357, -0.475164, -0.094300, 0.000000, 0.000000, 0.000000, 0.000000], [0.654400, 0.027821, -0.297685, 0.080192, 0.637112, 0.264629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170915, 0.284164, 0.155184, 0.009183, -0.147141, 0.918816, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.563616, 18.868604, 22.028051, 25.125933, 97.780344], [41.926786, 45.644245, 45.851250, 57.827959, 162.974513], [63.525033, 69.095289, 73.332208, 82.526780, 266.936281], [60.237934, 65.348402, 69.024894, 85.172378, 240.009764], [85.495235, 94.465861, 94.876135, 118.179359, 370.555609], [23.235962, 24.130643, 25.079840, 28.721129, 118.470503]]
### 4
mean: [7.262222, 7.853778, 1.031169, 0.793755, 4.251922, 7.178201]
std: [9.520498, 10.352805, 0.950723, 1.730150, 6.195859, 10.075796]
pca: [[0.515359, 0.143498, 0.189740, -0.123100, 0.768015, -0.269837, 0.000000, 0.000000, 0.000000, 0.000000], [0.560396, 0.212721, -0.034668, 0.295960, -0.101202, 0.735982, 0.000000, 0.000000, 0.000000, 0.000000], [0.050943, -0.135078, 0.899868, 0.326372, -0.220743, -0.118957, 0.000000, 0.000000, 0.000000, 0.000000], [0.089294, 0.853950, -0.026565, 0.044385, -0.339515, -0.380593, 0.000000, 0.000000, 0.000000, 0.000000], [0.335217, -0.330606, -0.389953, 0.638082, -0.123219, -0.451591, 0.000000, 0.000000, 0.000000, 0.000000], [0.545365, -0.278177, 0.016306, -0.617751, -0.469820, -0.150273, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[156.670738, 172.735872, 177.957380, 213.285293, 653.599949], [170.923059, 187.704987, 193.153955, 232.318510, 706.840033], [15.809518, 16.797153, 19.109638, 21.264263, 92.805234], [28.837887, 31.167379, 31.694194, 34.475341, 71.437948], [101.885814, 112.195917, 114.411049, 140.871879, 382.673003], [165.416302, 182.550376, 187.386548, 227.643548, 646.038063]]
### 6
mean: [15.654733, 12.550205, 15.213857, -0.107879, 1.122724, 1.806474]
std: [22.089365, 17.724756, 21.431475, 1.026585, 3.311076, 2.247199]
pca: [[0.617837, 0.085535, 0.095226, 0.371600, -0.513495, -0.447358, 0.000000, 0.000000, 0.000000, 0.000000], [0.495733, -0.352000, -0.483053, -0.111660, -0.155529, 0.600290, 0.000000, 0.000000, 0.000000, 0.000000], [0.599432, 0.207921, 0.164361, -0.367370, 0.644399, -0.142219, 0.000000, 0.000000, 0.000000, 0.000000], [-0.027551, 0.711440, -0.093434, -0.516312, -0.440316, 0.154622, 0.000000, 0.000000, 0.000000, 0.000000], [0.092390, -0.182334, 0.849449, -0.103962, -0.208826, 0.426893, 0.000000, 0.000000, 0.000000, 0.000000], [0.062556, 0.534935, 0.016830, 0.661134, 0.243718, 0.461682, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[365.117398, 400.756497, 410.153385, 497.070319, 1408.925893], [293.442144, 321.279319, 330.194333, 397.328704, 1129.518275], [353.831142, 388.711073, 398.379608, 482.477545, 1369.247037], [17.622778, 17.765658, 17.823379, 18.378369, 21.621482], [56.283892, 59.419035, 59.519518, 75.808960, 101.045127], [38.029495, 41.426655, 41.625026, 50.823698, 162.582669]]
### 8
mean: [-21.261578]
std: [31.288404]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[518.625179, 564.323450, 579.227079, 703.582434, 1913.541906]]
## 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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"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": [[1.747352, -0.313127, -0.11375, -0.20706, -0.075557], [0.490252, 0.106104, -0.281696, 0.396891, -1.008371], [1.424028, -1.382041, -0.052774, 0.207242, 0.141941], [1.529892, -0.533173, -0.035243, 0.017729, 0.050434], [0.422292, -0.186788, -0.025232, -0.166641, -0.138238], [0.4206, -0.090493, -0.106676, -0.169681, -0.393292]], "network.0.bias": [0.807344, 0.165582, 0.578607, 0.177695, 0.089408, -0.317154], "network.2.weight": [[-0.419118, -0.543139, 0.30236, 0.284355, -0.916676, -0.403059], [-0.38489, -0.420147, -0.758187, -0.177991, 1.094712, 1.466], [1.112743, 0.80906, 0.049017, 0.292908, -1.724232, -0.971082], [0.570857, 0.370597, 0.482525, 0.591653, -1.202823, -0.770746], [0.976165, 0.969434, 0.675601, 0.566434, -1.945718, -0.737526], [-0.180794, -0.404425, 0.096665, -0.270643, -0.12841, 0.065257]], "network.2.bias": [-0.55467, 0.307946, -0.038845, -0.032071, 0.082993, -0.359638], "network.4.weight": [[-0.025679, -0.323194, 1.00695, 0.334022, 0.8437, -0.180601], [0.656781, -0.476651, 1.158428, 0.403522, 0.839011, -0.188382], [-0.800664, -0.282874, 0.078472, 0.329677, -0.102605, -0.252273], [1.108617, -0.632009, 0.895903, -0.333014, -0.113956, 0.171301], [0.338574, -0.112816, 0.268984, 0.444466, 0.669026, -0.067982], [-0.023202, 0.265303, 0.715601, 0.620841, 0.956558, 0.107936]], "network.4.bias": [0.021979, 0.081128, 0.236844, -0.360423, -0.368229, -0.365221], "network.6.weight": [[0.201041, 0.769572, -0.122007, 0.427286, 0.638639, 0.762812], [0.710935, 0.487593, 0.254411, 0.598694, 0.472755, 0.174928], [0.271187, 0.647979, 0.184839, 0.384144, 0.692018, 0.700011], [-0.079768, 0.447644, 0.553794, -0.699945, -0.204081, -0.303213], [-0.437698, -0.329658, -0.4234, 0.556598, 0.666135, 0.627873], [0.040937, 0.292441, -0.157174, -0.505816, -0.149799, 0.068306]], "network.6.bias": [-0.261209, -0.420316, -0.276673, 0.119769, -0.571955, -0.039193], "network.8.weight": [[-0.427346, -0.511875, -0.479007, -0.311259, -0.63892, -0.29978]], "network.8.bias": [0.789616]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7123419046401978, "train_acc": 0.43, "val_loss": 0.6927636861801147, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6739633083343506, "train_acc": 0.57, "val_loss": 0.717308521270752, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6827740669250488, "train_acc": 0.57, "val_loss": 0.7223880290985107, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6527084112167358, "train_acc": 0.57, "val_loss": 0.6830775737762451, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6373825669288635, "train_acc": 0.57, "val_loss": 0.6513813734054565, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6073630750179291, "train_acc": 0.54, "val_loss": 0.5713847279548645, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5240496695041656, "train_acc": 0.665, "val_loss": 0.5090016722679138, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.47567880153656006, "train_acc": 0.825, "val_loss": 0.5110955238342285, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.463636189699173, "train_acc": 0.79, "val_loss": 0.42001426219940186, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.46960100531578064, "train_acc": 0.77, "val_loss": 0.430291086435318, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4659055173397064, "train_acc": 0.77, "val_loss": 0.3841770887374878, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.42900417745113373, "train_acc": 0.8, "val_loss": 0.32513073086738586, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.40021999180316925, "train_acc": 0.805, "val_loss": 0.30994054675102234, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.40951426327228546, "train_acc": 0.8, "val_loss": 0.30318155884742737, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3498160392045975, "train_acc": 0.83, "val_loss": 0.32507872581481934, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6927636861801147, "final_val_loss": 0.6513813734054565, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5713847279548645, "final_val_loss": 0.32507872581481934, "initial_val_acc": 0.7, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
9,961
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.62, "improved_accuracy": 0.88, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1825, "learning_rate": 0.06278976197447954, "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: 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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[
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"network.0.bias": [
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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: [-0.147135, 1.293294, 1.917308, 0.164538, -1.613787, 2.383274]
std: [1.218562, 1.553060, 1.637540, 1.235994, 2.940928, 1.999938]
pca: [[-0.217542, -0.390168, 0.315701, 0.182965, -0.391054, 0.717201, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242746, 0.544002, -0.523955, 0.283650, 0.210970, 0.495622, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283294, 0.541550, 0.140245, -0.510153, -0.587104, -0.043025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229921, 0.255285, 0.336124, 0.760476, -0.205869, -0.385073, 0.000000, 0.000000, 0.000000, 0.000000], [0.721137, 0.428064, 0.448612, 0.048175, 0.090831, 0.291373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490502, 0.100720, 0.540280, -0.212523, 0.638157, 0.070363, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.494782, 19.352946, 20.524288, 20.821637, 21.741824], [23.518164, 25.288145, 26.953360, 28.168049, 116.396487], [25.226968, 26.431382, 29.604310, 31.982819, 172.557676], [17.849251, 20.807935, 21.032287, 21.820637, 24.636960], [45.316001, 45.644033, 47.822254, 53.550263, 145.240839], [33.188960, 33.552906, 34.605515, 40.574667, 214.494617]]
### 2
mean: [-0.376878, -1.487597, -1.115203, -1.004663, 0.482893, 2.238870]
std: [0.556829, 1.801780, 0.603154, 0.681678, 0.308506, 1.827323]
pca: [[-0.061752, 0.481133, -0.512723, -0.626481, 0.329915, 0.022124, 0.000000, 0.000000, 0.000000, 0.000000], [-0.680475, -0.423331, -0.055980, -0.017455, 0.336950, 0.490684, 0.000000, 0.000000, 0.000000, 0.000000], [-0.056367, 0.570454, -0.251807, 0.629726, -0.068505, 0.454698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153866, 0.463856, 0.806435, -0.128556, 0.299295, 0.068711, 0.000000, 0.000000, 0.000000, 0.000000], [0.100969, -0.067553, -0.121269, 0.426496, 0.768656, -0.444752, 0.000000, 0.000000, 0.000000, 0.000000], [0.704339, -0.210137, 0.074366, -0.110616, 0.304169, 0.591154, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.649813, 8.848846, 9.558302, 12.356738, 33.918981], [28.774213, 28.945431, 34.941149, 34.952899, 133.883731], [8.068554, 9.381451, 10.298874, 13.355615, 100.368248], [10.372308, 10.468709, 12.226523, 15.502161, 90.419661], [5.005246, 5.063285, 5.432244, 6.340202, 43.460354], [30.832480, 33.153964, 35.283791, 36.864987, 201.498241]]
### 4
mean: [-0.192618, 0.021501, -0.653456, -0.693700, -0.095784, -0.967587]
std: [0.497467, 0.108106, 0.910138, 0.902435, 0.381349, 1.462662]
pca: [[0.237883, -0.382098, -0.057881, 0.139236, 0.876634, -0.078667, 0.000000, 0.000000, 0.000000, 0.000000], [0.000801, 0.304402, 0.123829, 0.911890, 0.017809, 0.245243, 0.000000, 0.000000, 0.000000, 0.000000], [0.451205, 0.095190, 0.004004, -0.261275, 0.036838, 0.847181, 0.000000, 0.000000, 0.000000, 0.000000], [0.446741, -0.090012, 0.850154, -0.020763, -0.121934, -0.232938, 0.000000, 0.000000, 0.000000, 0.000000], [0.118101, 0.862443, 0.007609, -0.229796, 0.358762, -0.246311, 0.000000, 0.000000, 0.000000, 0.000000], [0.725466, -0.019218, -0.508410, 0.166033, -0.293700, -0.317841, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.416767, 9.351266, 9.560419, 9.838179, 17.335645], [1.670721, 1.713374, 1.767451, 1.856882, 1.935131], [14.511797, 16.501820, 17.785152, 17.927605, 58.811072], [14.570017, 15.958509, 17.568799, 18.028844, 62.432971], [5.495198, 5.499317, 5.978790, 6.229745, 8.620603], [24.295934, 26.463518, 28.650883, 28.669265, 87.082861]]
### 6
mean: [0.072788, 0.855327, -0.564034, -0.144308, -0.056836, 0.026730]
std: [0.659722, 1.580350, 0.131888, 0.730689, 0.582774, 0.422163]
pca: [[-0.330058, -0.191658, -0.235186, -0.124056, -0.403823, 0.787752, 0.000000, 0.000000, 0.000000, 0.000000], [0.790956, 0.099884, -0.502076, -0.113496, 0.161629, 0.270788, 0.000000, 0.000000, 0.000000, 0.000000], [0.055306, 0.732186, 0.515097, -0.061177, 0.137298, 0.415843, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365688, -0.021376, -0.208673, -0.600897, 0.678339, 0.032386, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291412, 0.217823, -0.393208, 0.743000, 0.380975, 0.125811, 0.000000, 0.000000, 0.000000, 0.000000], [0.209146, -0.607692, 0.478670, 0.234221, 0.432049, 0.341053, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.621950, 9.635669, 9.824816, 10.108746, 11.145291], [23.580812, 23.818593, 24.232520, 26.806429, 76.979457], [1.796059, 1.859697, 2.083090, 2.134370, 50.763088], [10.894142, 10.895965, 11.144484, 12.427623, 12.987741], [8.794765, 8.829054, 8.837841, 8.927615, 10.020370], [6.283919, 6.347359, 6.796147, 7.127665, 7.340664]]
### 8
mean: [-0.433449, -0.578398, 1.937512, 1.755248, 0.591173, -0.576160]
std: [1.312774, 1.013478, 1.539088, 1.280034, 0.872904, 0.965471]
pca: [[-0.451770, 0.403415, 0.093750, 0.759580, 0.154127, -0.153799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349394, -0.050327, 0.870004, -0.217491, -0.104984, 0.245274, 0.000000, 0.000000, 0.000000, 0.000000], [0.530523, -0.161392, 0.161903, 0.551674, -0.355471, 0.485368, 0.000000, 0.000000, 0.000000, 0.000000], [0.439708, 0.552768, 0.181148, -0.130744, 0.624082, 0.248431, 0.000000, 0.000000, 0.000000, 0.000000], [0.298889, -0.515593, 0.349593, 0.212627, 0.410424, -0.555838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331205, -0.487122, -0.230350, 0.095327, 0.530035, 0.556714, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.656677, 20.243050, 21.652702, 22.909447, 39.010437], [14.756493, 15.817501, 17.311265, 17.735257, 52.055812], [22.696555, 23.891526, 26.009551, 26.903378, 174.376045], [18.337358, 20.096186, 22.362445, 22.747307, 157.972315], [13.146905, 13.307682, 13.940954, 15.131364, 53.205521], [13.766809, 15.160165, 16.852694, 17.282363, 51.854412]]
### 10
mean: [-4.162478]
std: [2.866044]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.041935, 42.909100, 49.987609, 54.085536, 374.623006]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
mean: [-0.147135, 1.293294, 1.917308, 0.164538, -1.613787, 2.383274]
std: [1.218562, 1.553060, 1.637540, 1.235994, 2.940928, 1.999938]
pca: [[-0.217542, -0.390168, 0.315701, 0.182965, -0.391054, 0.717201, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242746, 0.544002, -0.523955, 0.283650, 0.210970, 0.495622, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283294, 0.541550, 0.140245, -0.510153, -0.587104, -0.043025, 0.000000, 0.000000, 0.000000, 0.000000], [-0.229921, 0.255285, 0.336124, 0.760476, -0.205869, -0.385073, 0.000000, 0.000000, 0.000000, 0.000000], [0.721137, 0.428064, 0.448612, 0.048175, 0.090831, 0.291373, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490502, 0.100720, 0.540280, -0.212523, 0.638157, 0.070363, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.494782, 19.352946, 20.524288, 20.821637, 21.741824], [23.518164, 25.288145, 26.953360, 28.168049, 116.396487], [25.226968, 26.431382, 29.604310, 31.982819, 172.557676], [17.849251, 20.807935, 21.032287, 21.820637, 24.636960], [45.316001, 45.644033, 47.822254, 53.550263, 145.240839], [33.188960, 33.552906, 34.605515, 40.574667, 214.494617]]
### 2
mean: [-0.376878, -1.487597, -1.115203, -1.004663, 0.482893, 2.238870]
std: [0.556829, 1.801780, 0.603154, 0.681678, 0.308506, 1.827323]
pca: [[-0.061752, 0.481133, -0.512723, -0.626481, 0.329915, 0.022124, 0.000000, 0.000000, 0.000000, 0.000000], [-0.680475, -0.423331, -0.055980, -0.017455, 0.336950, 0.490684, 0.000000, 0.000000, 0.000000, 0.000000], [-0.056367, 0.570454, -0.251807, 0.629726, -0.068505, 0.454698, 0.000000, 0.000000, 0.000000, 0.000000], [-0.153866, 0.463856, 0.806435, -0.128556, 0.299295, 0.068711, 0.000000, 0.000000, 0.000000, 0.000000], [0.100969, -0.067553, -0.121269, 0.426496, 0.768656, -0.444752, 0.000000, 0.000000, 0.000000, 0.000000], [0.704339, -0.210137, 0.074366, -0.110616, 0.304169, 0.591154, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.649813, 8.848846, 9.558302, 12.356738, 33.918981], [28.774213, 28.945431, 34.941149, 34.952899, 133.883731], [8.068554, 9.381451, 10.298874, 13.355615, 100.368248], [10.372308, 10.468709, 12.226523, 15.502161, 90.419661], [5.005246, 5.063285, 5.432244, 6.340202, 43.460354], [30.832480, 33.153964, 35.283791, 36.864987, 201.498241]]
### 4
mean: [-0.192618, 0.021501, -0.653456, -0.693700, -0.095784, -0.967587]
std: [0.497467, 0.108106, 0.910138, 0.902435, 0.381349, 1.462662]
pca: [[0.237883, -0.382098, -0.057881, 0.139236, 0.876634, -0.078667, 0.000000, 0.000000, 0.000000, 0.000000], [0.000801, 0.304402, 0.123829, 0.911890, 0.017809, 0.245243, 0.000000, 0.000000, 0.000000, 0.000000], [0.451205, 0.095190, 0.004004, -0.261275, 0.036838, 0.847181, 0.000000, 0.000000, 0.000000, 0.000000], [0.446741, -0.090012, 0.850154, -0.020763, -0.121934, -0.232938, 0.000000, 0.000000, 0.000000, 0.000000], [0.118101, 0.862443, 0.007609, -0.229796, 0.358762, -0.246311, 0.000000, 0.000000, 0.000000, 0.000000], [0.725466, -0.019218, -0.508410, 0.166033, -0.293700, -0.317841, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[8.416767, 9.351266, 9.560419, 9.838179, 17.335645], [1.670721, 1.713374, 1.767451, 1.856882, 1.935131], [14.511797, 16.501820, 17.785152, 17.927605, 58.811072], [14.570017, 15.958509, 17.568799, 18.028844, 62.432971], [5.495198, 5.499317, 5.978790, 6.229745, 8.620603], [24.295934, 26.463518, 28.650883, 28.669265, 87.082861]]
### 6
mean: [0.072788, 0.855327, -0.564034, -0.144308, -0.056836, 0.026730]
std: [0.659722, 1.580350, 0.131888, 0.730689, 0.582774, 0.422163]
pca: [[-0.330058, -0.191658, -0.235186, -0.124056, -0.403823, 0.787752, 0.000000, 0.000000, 0.000000, 0.000000], [0.790956, 0.099884, -0.502076, -0.113496, 0.161629, 0.270788, 0.000000, 0.000000, 0.000000, 0.000000], [0.055306, 0.732186, 0.515097, -0.061177, 0.137298, 0.415843, 0.000000, 0.000000, 0.000000, 0.000000], [-0.365688, -0.021376, -0.208673, -0.600897, 0.678339, 0.032386, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291412, 0.217823, -0.393208, 0.743000, 0.380975, 0.125811, 0.000000, 0.000000, 0.000000, 0.000000], [0.209146, -0.607692, 0.478670, 0.234221, 0.432049, 0.341053, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.621950, 9.635669, 9.824816, 10.108746, 11.145291], [23.580812, 23.818593, 24.232520, 26.806429, 76.979457], [1.796059, 1.859697, 2.083090, 2.134370, 50.763088], [10.894142, 10.895965, 11.144484, 12.427623, 12.987741], [8.794765, 8.829054, 8.837841, 8.927615, 10.020370], [6.283919, 6.347359, 6.796147, 7.127665, 7.340664]]
### 8
mean: [-0.433449, -0.578398, 1.937512, 1.755248, 0.591173, -0.576160]
std: [1.312774, 1.013478, 1.539088, 1.280034, 0.872904, 0.965471]
pca: [[-0.451770, 0.403415, 0.093750, 0.759580, 0.154127, -0.153799, 0.000000, 0.000000, 0.000000, 0.000000], [-0.349394, -0.050327, 0.870004, -0.217491, -0.104984, 0.245274, 0.000000, 0.000000, 0.000000, 0.000000], [0.530523, -0.161392, 0.161903, 0.551674, -0.355471, 0.485368, 0.000000, 0.000000, 0.000000, 0.000000], [0.439708, 0.552768, 0.181148, -0.130744, 0.624082, 0.248431, 0.000000, 0.000000, 0.000000, 0.000000], [0.298889, -0.515593, 0.349593, 0.212627, 0.410424, -0.555838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.331205, -0.487122, -0.230350, 0.095327, 0.530035, 0.556714, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.656677, 20.243050, 21.652702, 22.909447, 39.010437], [14.756493, 15.817501, 17.311265, 17.735257, 52.055812], [22.696555, 23.891526, 26.009551, 26.903378, 174.376045], [18.337358, 20.096186, 22.362445, 22.747307, 157.972315], [13.146905, 13.307682, 13.940954, 15.131364, 53.205521], [13.766809, 15.160165, 16.852694, 17.282363, 51.854412]]
### 10
mean: [-4.162478]
std: [2.866044]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[40.041935, 42.909100, 49.987609, 54.085536, 374.623006]]
## 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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{"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": [[0.551117, 0.12085, -0.217183, -0.051137, -0.282796], [-0.441991, 0.757598, 0.409361, -0.131594, -0.04762], [-0.185583, 0.775387, 0.153886, 0.182433, 0.159726], [-0.092444, 0.520453, 0.043123, 0.090857, -0.387914], [-0.859757, -0.918798, -0.154941, 0.434934, 0.381884], [0.436681, 0.558979, 0.301953, 0.255873, -0.38869]], "network.0.bias": [-0.141069, -0.05137, -0.174335, -0.475291, 0.050361, 0.121196], "network.2.weight": [[-0.187958, -0.322524, -0.17873, 0.026732, -0.36911, 0.196797], [-0.367456, -0.431645, -0.002927, 0.120251, 0.771462, -0.477759], [0.345471, -0.120439, -0.130209, 0.179473, -0.509961, -0.15038], [-0.193801, 0.030221, -0.529564, 0.630727, -0.185279, -0.067566], [0.112383, 0.033497, 0.241842, -0.19253, -0.175695, -0.048914], [0.213288, 0.359194, 0.409729, -0.224474, -0.355914, 0.418819]], "network.2.bias": [0.06279, 0.061414, -0.397382, -0.066746, 0.200977, 0.140992], "network.4.weight": [[-0.185874, 0.009607, -0.035132, -0.323137, 0.068146, -0.281334], [0.256496, 0.17687, 0.349369, -0.325631, -0.027232, 0.037095], [-0.229158, 0.492478, -0.324096, -0.042536, -0.252521, -0.40241], [0.10117, 0.421147, -0.456919, -0.010661, 0.133707, -0.450951], [0.074758, 0.629702, -0.233787, -0.121767, -0.309783, 0.01295], [-0.592943, 0.633841, 0.289897, -0.165734, -0.483453, -0.670729]], "network.4.bias": [0.34959, -0.052336, 0.216239, 0.15375, -0.116588, 0.60395], "network.6.weight": [[0.180408, 0.324027, 0.182795, 0.478638, 0.430204, 0.584935], [-0.862266, -1.170434, -0.956244, -1.085421, -1.021333, -0.98289], [0.58928, 0.524301, 0.125545, -0.097913, -0.323185, -0.204178], [0.347128, 0.305244, 0.191065, 0.408195, 0.460686, 0.710747], [0.25664, 0.005616, 0.676968, 0.416273, 0.124335, 0.352843], [-0.579556, -0.50048, -0.160625, -0.255505, 0.136077, -0.509265]], "network.6.bias": [0.013381, 0.965078, -0.554766, -0.21713, -0.090989, 0.085096], "network.8.weight": [[0.305893, -0.794485, 0.07298, 0.639437, 0.724661, -0.646927], [0.707851, -0.829821, -0.297279, 0.283637, 0.124869, -0.125518], [-0.344626, 1.268948, -0.617565, -0.897696, -0.530827, -0.226188], [-0.515821, 1.274187, -0.166369, -0.513549, -0.212847, 0.095038], [-0.297246, 0.490563, -0.714698, -0.23133, -0.68819, 0.019769], [0.289267, -0.987304, -0.19284, 0.413449, 0.220558, -0.094184]], "network.8.bias": [0.330416, 0.128428, 0.665968, 0.515795, 0.055656, 0.344261], "network.10.weight": [[0.493832, 0.473968, -1.107318, -0.872276, -0.237715, 0.596292]], "network.10.bias": [-0.265457]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6901706755161285, "train_acc": 0.545, "val_loss": 0.6552113890647888, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6664888858795166, "train_acc": 0.545, "val_loss": 0.6223834753036499, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5930381417274475, "train_acc": 0.63, "val_loss": 0.676743745803833, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4850033223628998, "train_acc": 0.785, "val_loss": 0.427226185798645, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3232293725013733, "train_acc": 0.92, "val_loss": 0.29940265417099, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.14831268787384033, "train_acc": 0.95, "val_loss": 0.5346488952636719, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.19259223714470863, "train_acc": 0.93, "val_loss": 0.32924771308898926, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.17461032047867775, "train_acc": 0.95, "val_loss": 0.3947586715221405, "val_acc": 0.88}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6552113890647888, "final_val_loss": 0.6223834753036499, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.676743745803833, "final_val_loss": 0.3947586715221405, "initial_val_acc": 0.7, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
9,962
|
{"target_pattern": "palindrome", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4567, "learning_rate": 0.08803624725830014, "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:
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[
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],
[
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0.599546,
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[
0.526838,
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0.359954,
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0.121594,
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],
[
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0.354699,
0.007991
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[
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[
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [0.949297, -0.803979, 3.290924, -2.866350, -1.481660, -0.454303, 0.351941]
std: [1.749297, 2.740972, 3.125289, 2.790607, 1.883736, 3.232826, 3.445923]
pca: [[0.035180, -0.058084, 0.649410, 0.447741, 0.608404, 0.030018, -0.046128, 0.000000, 0.000000, 0.000000], [0.451245, -0.007858, -0.069017, -0.319553, 0.233579, 0.786663, -0.126652, 0.000000, 0.000000, 0.000000], [-0.504457, -0.181379, 0.197167, -0.341798, 0.093405, 0.250453, 0.696759, 0.000000, 0.000000, 0.000000], [0.442296, 0.073247, -0.044814, 0.542816, -0.332201, 0.159694, 0.605386, 0.000000, 0.000000, 0.000000], [0.153719, -0.174475, -0.614824, 0.026722, 0.645234, -0.281499, 0.267652, 0.000000, 0.000000, 0.000000], [-0.162350, 0.956082, -0.079729, -0.011450, 0.199692, 0.048496, 0.104086, 0.000000, 0.000000, 0.000000], [0.543185, 0.117335, 0.385039, -0.533942, 0.000885, -0.458735, 0.217705, 0.000000, 0.000000, 0.000000]]
fourier: [[29.790276, 30.349137, 31.772361, 33.696659, 85.436753], [40.880524, 50.764722, 55.811453, 56.175774, 72.358139], [53.603021, 59.745561, 62.392874, 68.395795, 296.183174], [47.474188, 53.239184, 59.219475, 60.134026, 257.971484], [26.596107, 27.653426, 27.887159, 36.094932, 133.349367], [47.407108, 47.410076, 48.972238, 51.882926, 53.339677], [47.083995, 56.011119, 64.338461, 66.890681, 74.295438]]
### 2
mean: [-3.407398, -0.543185, -2.494860, 3.032602, -2.778892, -2.533527, 1.548092]
std: [2.096395, 3.192636, 1.625172, 2.843206, 2.171059, 1.685158, 2.202214]
pca: [[0.301466, 0.384098, -0.512695, -0.454567, -0.078873, -0.528695, -0.079756, 0.000000, 0.000000, 0.000000], [0.561354, -0.440278, 0.340289, -0.199702, 0.484428, -0.192250, -0.252446, 0.000000, 0.000000, 0.000000], [0.084394, 0.498858, 0.150107, 0.667448, 0.209979, -0.281241, -0.390911, 0.000000, 0.000000, 0.000000], [-0.510495, 0.177639, 0.598951, -0.437344, -0.088379, -0.320941, -0.216826, 0.000000, 0.000000, 0.000000], [0.357576, 0.385889, 0.165617, -0.258649, -0.239781, 0.641993, -0.399061, 0.000000, 0.000000, 0.000000], [0.172014, 0.469450, 0.288659, -0.107143, 0.383700, 0.087387, 0.707363, 0.000000, 0.000000, 0.000000], [-0.410880, 0.094417, -0.359611, -0.195838, 0.708863, 0.285710, -0.265468, 0.000000, 0.000000, 0.000000]]
fourier: [[32.454228, 33.384178, 33.668563, 34.968145, 306.665816], [48.886645, 53.758262, 55.174279, 55.231258, 57.469237], [24.975840, 27.435800, 30.228496, 34.229788, 224.537372], [41.391092, 43.207863, 50.889503, 51.471746, 272.934148], [32.777058, 36.042850, 40.321207, 43.223389, 250.100262], [26.786041, 27.928814, 30.278305, 34.061507, 228.017383], [36.437023, 36.574345, 39.299984, 47.306588, 139.328245]]
### 4
mean: [0.747975, 0.609825, 1.182757, 0.143920, 1.089090, -0.472782, -1.460806]
std: [1.345994, 1.373514, 3.307900, 1.649580, 3.362921, 1.665269, 1.008695]
pca: [[-0.233576, -0.120674, 0.543879, 0.408973, -0.643596, 0.175339, -0.151187, 0.000000, 0.000000, 0.000000], [-0.239886, -0.205463, 0.385565, 0.393339, 0.699875, -0.216751, -0.245066, 0.000000, 0.000000, 0.000000], [0.584357, 0.429483, -0.168064, 0.632945, -0.034795, -0.141894, -0.154473, 0.000000, 0.000000, 0.000000], [-0.291965, 0.146376, -0.057219, 0.375430, 0.073519, 0.026702, 0.861969, 0.000000, 0.000000, 0.000000], [0.595612, -0.152582, 0.487526, -0.125807, 0.212960, 0.493910, 0.281349, 0.000000, 0.000000, 0.000000], [-0.292951, 0.273226, -0.264352, 0.140149, 0.201008, 0.799237, -0.266119, 0.000000, 0.000000, 0.000000], [-0.143550, 0.799629, 0.465244, -0.317789, 0.059889, -0.136755, -0.015988, 0.000000, 0.000000, 0.000000]]
fourier: [[20.683348, 21.027223, 23.920044, 24.684081, 67.317716], [21.611929, 22.167838, 24.880728, 25.317240, 54.884245], [51.489480, 56.470903, 59.572204, 59.605951, 106.448171], [24.649219, 26.869804, 27.012326, 27.767058, 28.088081], [54.594222, 55.709621, 57.086154, 57.510616, 98.018079], [25.685300, 27.435097, 29.074005, 29.257718, 42.550427], [14.788600, 15.030056, 18.376203, 18.657368, 131.472498]]
### 6
mean: [-0.559533, 0.148077, -1.986080, -0.225318, -0.052770, 1.508835, 2.075185]
std: [1.597721, 2.459438, 1.321589, 5.028968, 4.262980, 1.974511, 1.083220]
pca: [[0.207698, 0.228210, -0.253316, 0.098398, -0.007963, 0.581218, 0.702177, 0.000000, 0.000000, 0.000000], [0.323918, -0.103265, -0.122342, -0.490877, 0.714352, 0.249760, -0.236233, 0.000000, 0.000000, 0.000000], [0.142955, 0.641988, 0.700510, -0.230427, 0.057633, -0.090697, 0.109799, 0.000000, 0.000000, 0.000000], [0.662144, -0.244261, 0.065317, 0.321235, 0.177878, -0.523691, 0.297573, 0.000000, 0.000000, 0.000000], [0.561884, -0.118310, 0.198219, 0.115182, -0.463971, 0.448387, -0.448790, 0.000000, 0.000000, 0.000000], [-0.257981, -0.218905, 0.462666, 0.599610, 0.447855, 0.331430, -0.038919, 0.000000, 0.000000, 0.000000], [-0.103921, -0.635238, 0.415370, -0.469329, -0.197058, 0.080189, 0.384199, 0.000000, 0.000000, 0.000000]]
fourier: [[25.255822, 27.224739, 28.473066, 28.789063, 50.357927], [38.193410, 38.321633, 38.884712, 43.126914, 43.256145], [19.893218, 22.367295, 22.957180, 25.569403, 178.747155], [78.020770, 78.180134, 79.746042, 87.849014, 88.817013], [66.068384, 66.598658, 67.546547, 74.909278, 76.110066], [32.330603, 32.685506, 35.190867, 35.318129, 135.795124], [16.201752, 16.511806, 18.541587, 18.908069, 186.766606]]
### 8
mean: [-1.912422, -0.474136, 0.349463, -3.666633, 3.744550, 2.556337, -3.128889]
std: [1.079439, 4.379686, 2.642952, 1.921631, 3.821275, 3.126731, 2.191134]
pca: [[0.095011, 0.389668, -0.451216, 0.554335, -0.298810, -0.113862, -0.475390, 0.000000, 0.000000, 0.000000], [0.573918, -0.424740, -0.350740, 0.187783, 0.473626, -0.313722, 0.095863, 0.000000, 0.000000, 0.000000], [0.338651, -0.364673, 0.483129, 0.501760, -0.291487, 0.426183, -0.023569, 0.000000, 0.000000, 0.000000], [0.188028, 0.629069, 0.454311, 0.236928, 0.549772, -0.025818, 0.058898, 0.000000, 0.000000, 0.000000], [-0.508436, -0.193084, 0.204971, 0.489394, -0.043210, -0.583637, 0.283183, 0.000000, 0.000000, 0.000000], [-0.417964, -0.062784, -0.381434, 0.329177, 0.393025, 0.604173, 0.219136, 0.000000, 0.000000, 0.000000], [0.279914, 0.312758, -0.214636, 0.041080, -0.377942, 0.025637, 0.795347, 0.000000, 0.000000, 0.000000]]
fourier: [[15.408917, 15.721310, 19.138046, 19.196386, 172.117985], [69.070758, 69.905265, 70.026332, 71.945821, 80.723597], [41.038945, 42.890351, 43.247243, 44.500778, 46.764748], [29.243241, 29.243582, 33.299337, 37.037030, 329.996972], [62.685394, 63.378908, 64.678041, 78.803777, 337.009523], [51.108828, 51.450194, 52.382775, 64.068553, 230.070332], [36.350087, 37.152752, 37.575509, 46.047726, 281.599997]]
### 10
mean: [2.006536, -2.633502, 2.268546, 0.063850, 2.443877, -0.830831, 0.946322]
std: [1.226665, 3.250312, 7.955408, 4.429487, 3.854257, 0.778032, 3.468574]
pca: [[0.094571, -0.463503, 0.082988, -0.050740, 0.467649, 0.009974, 0.740246, 0.000000, 0.000000, 0.000000], [-0.284541, 0.638357, 0.186960, 0.158681, -0.017535, -0.504081, 0.443844, 0.000000, 0.000000, 0.000000], [0.724644, 0.114092, -0.110454, 0.478674, -0.379118, 0.089351, 0.262357, 0.000000, 0.000000, 0.000000], [-0.400248, -0.400603, 0.454550, 0.640991, -0.237399, 0.046721, -0.057378, 0.000000, 0.000000, 0.000000], [0.350021, -0.216424, 0.600731, -0.420127, -0.275597, -0.456146, -0.096120, 0.000000, 0.000000, 0.000000], [0.051578, 0.377156, 0.577069, -0.154246, 0.078838, 0.695002, 0.095128, 0.000000, 0.000000, 0.000000], [0.315612, 0.122798, 0.213205, 0.363247, 0.706214, -0.211045, -0.405741, 0.000000, 0.000000, 0.000000]]
fourier: [[20.408937, 20.762945, 20.880263, 25.895665, 180.588294], [53.339081, 54.159476, 54.807027, 66.962912, 237.015206], [127.563347, 128.908724, 132.727772, 145.032226, 204.169155], [65.314194, 70.011385, 73.444074, 75.579894, 77.433880], [60.679445, 61.291912, 63.634026, 73.529315, 219.948973], [10.820439, 13.344180, 13.588885, 15.021476, 74.774777], [55.984085, 56.379927, 58.338480, 62.027977, 85.168933]]
### 12
mean: [-5.396230]
std: [6.581916]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[107.288913, 109.839522, 109.903639, 134.114096, 485.660658]]
## 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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0.590946
],
[
-0.54036,
0.030896,
0.306058,
-0.687019,
-0.467541,
-0.602949,
-0.216324
],
[
0.303552,
0.480429,
-0.589942,
0.507647,
0.999717,
-0.163097,
0.069134
],
[
0.658008,
0.412154,
-0.131675,
0.146957,
1.044179,
-0.117649,
-0.138074
],
[
0.065013,
-0.387728,
-0.074758,
-0.423286,
-0.569203,
-0.161411,
-0.079305
]
],
"network.8.bias": [
0.063757,
0.32318,
0.307146,
-0.025568,
0.43638,
0.268176,
-0.483594
],
"network.10.weight": [
[
-0.019678,
-0.04961,
0.30543,
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0.29346,
0.129504,
-0.208474
],
[
0.206387,
0.051177,
0.007662,
0.158549,
-0.706993,
-0.155848,
-0.090366
],
[
0.287233,
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-0.500058,
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0.65103,
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[
-0.08439,
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[
-0.291028,
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0.170759,
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[
0.031381,
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0.166282,
0.493873,
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]
],
"network.10.bias": [
0.241818,
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],
"network.12.weight": [
[
-0.314004,
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-0.603291,
0.429297,
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"network.12.bias": [
-0.466306
]
}
## Activation Signature
### 0
mean: [0.949297, -0.803979, 3.290924, -2.866350, -1.481660, -0.454303, 0.351941]
std: [1.749297, 2.740972, 3.125289, 2.790607, 1.883736, 3.232826, 3.445923]
pca: [[0.035180, -0.058084, 0.649410, 0.447741, 0.608404, 0.030018, -0.046128, 0.000000, 0.000000, 0.000000], [0.451245, -0.007858, -0.069017, -0.319553, 0.233579, 0.786663, -0.126652, 0.000000, 0.000000, 0.000000], [-0.504457, -0.181379, 0.197167, -0.341798, 0.093405, 0.250453, 0.696759, 0.000000, 0.000000, 0.000000], [0.442296, 0.073247, -0.044814, 0.542816, -0.332201, 0.159694, 0.605386, 0.000000, 0.000000, 0.000000], [0.153719, -0.174475, -0.614824, 0.026722, 0.645234, -0.281499, 0.267652, 0.000000, 0.000000, 0.000000], [-0.162350, 0.956082, -0.079729, -0.011450, 0.199692, 0.048496, 0.104086, 0.000000, 0.000000, 0.000000], [0.543185, 0.117335, 0.385039, -0.533942, 0.000885, -0.458735, 0.217705, 0.000000, 0.000000, 0.000000]]
fourier: [[29.790276, 30.349137, 31.772361, 33.696659, 85.436753], [40.880524, 50.764722, 55.811453, 56.175774, 72.358139], [53.603021, 59.745561, 62.392874, 68.395795, 296.183174], [47.474188, 53.239184, 59.219475, 60.134026, 257.971484], [26.596107, 27.653426, 27.887159, 36.094932, 133.349367], [47.407108, 47.410076, 48.972238, 51.882926, 53.339677], [47.083995, 56.011119, 64.338461, 66.890681, 74.295438]]
### 2
mean: [-3.407398, -0.543185, -2.494860, 3.032602, -2.778892, -2.533527, 1.548092]
std: [2.096395, 3.192636, 1.625172, 2.843206, 2.171059, 1.685158, 2.202214]
pca: [[0.301466, 0.384098, -0.512695, -0.454567, -0.078873, -0.528695, -0.079756, 0.000000, 0.000000, 0.000000], [0.561354, -0.440278, 0.340289, -0.199702, 0.484428, -0.192250, -0.252446, 0.000000, 0.000000, 0.000000], [0.084394, 0.498858, 0.150107, 0.667448, 0.209979, -0.281241, -0.390911, 0.000000, 0.000000, 0.000000], [-0.510495, 0.177639, 0.598951, -0.437344, -0.088379, -0.320941, -0.216826, 0.000000, 0.000000, 0.000000], [0.357576, 0.385889, 0.165617, -0.258649, -0.239781, 0.641993, -0.399061, 0.000000, 0.000000, 0.000000], [0.172014, 0.469450, 0.288659, -0.107143, 0.383700, 0.087387, 0.707363, 0.000000, 0.000000, 0.000000], [-0.410880, 0.094417, -0.359611, -0.195838, 0.708863, 0.285710, -0.265468, 0.000000, 0.000000, 0.000000]]
fourier: [[32.454228, 33.384178, 33.668563, 34.968145, 306.665816], [48.886645, 53.758262, 55.174279, 55.231258, 57.469237], [24.975840, 27.435800, 30.228496, 34.229788, 224.537372], [41.391092, 43.207863, 50.889503, 51.471746, 272.934148], [32.777058, 36.042850, 40.321207, 43.223389, 250.100262], [26.786041, 27.928814, 30.278305, 34.061507, 228.017383], [36.437023, 36.574345, 39.299984, 47.306588, 139.328245]]
### 4
mean: [0.747975, 0.609825, 1.182757, 0.143920, 1.089090, -0.472782, -1.460806]
std: [1.345994, 1.373514, 3.307900, 1.649580, 3.362921, 1.665269, 1.008695]
pca: [[-0.233576, -0.120674, 0.543879, 0.408973, -0.643596, 0.175339, -0.151187, 0.000000, 0.000000, 0.000000], [-0.239886, -0.205463, 0.385565, 0.393339, 0.699875, -0.216751, -0.245066, 0.000000, 0.000000, 0.000000], [0.584357, 0.429483, -0.168064, 0.632945, -0.034795, -0.141894, -0.154473, 0.000000, 0.000000, 0.000000], [-0.291965, 0.146376, -0.057219, 0.375430, 0.073519, 0.026702, 0.861969, 0.000000, 0.000000, 0.000000], [0.595612, -0.152582, 0.487526, -0.125807, 0.212960, 0.493910, 0.281349, 0.000000, 0.000000, 0.000000], [-0.292951, 0.273226, -0.264352, 0.140149, 0.201008, 0.799237, -0.266119, 0.000000, 0.000000, 0.000000], [-0.143550, 0.799629, 0.465244, -0.317789, 0.059889, -0.136755, -0.015988, 0.000000, 0.000000, 0.000000]]
fourier: [[20.683348, 21.027223, 23.920044, 24.684081, 67.317716], [21.611929, 22.167838, 24.880728, 25.317240, 54.884245], [51.489480, 56.470903, 59.572204, 59.605951, 106.448171], [24.649219, 26.869804, 27.012326, 27.767058, 28.088081], [54.594222, 55.709621, 57.086154, 57.510616, 98.018079], [25.685300, 27.435097, 29.074005, 29.257718, 42.550427], [14.788600, 15.030056, 18.376203, 18.657368, 131.472498]]
### 6
mean: [-0.559533, 0.148077, -1.986080, -0.225318, -0.052770, 1.508835, 2.075185]
std: [1.597721, 2.459438, 1.321589, 5.028968, 4.262980, 1.974511, 1.083220]
pca: [[0.207698, 0.228210, -0.253316, 0.098398, -0.007963, 0.581218, 0.702177, 0.000000, 0.000000, 0.000000], [0.323918, -0.103265, -0.122342, -0.490877, 0.714352, 0.249760, -0.236233, 0.000000, 0.000000, 0.000000], [0.142955, 0.641988, 0.700510, -0.230427, 0.057633, -0.090697, 0.109799, 0.000000, 0.000000, 0.000000], [0.662144, -0.244261, 0.065317, 0.321235, 0.177878, -0.523691, 0.297573, 0.000000, 0.000000, 0.000000], [0.561884, -0.118310, 0.198219, 0.115182, -0.463971, 0.448387, -0.448790, 0.000000, 0.000000, 0.000000], [-0.257981, -0.218905, 0.462666, 0.599610, 0.447855, 0.331430, -0.038919, 0.000000, 0.000000, 0.000000], [-0.103921, -0.635238, 0.415370, -0.469329, -0.197058, 0.080189, 0.384199, 0.000000, 0.000000, 0.000000]]
fourier: [[25.255822, 27.224739, 28.473066, 28.789063, 50.357927], [38.193410, 38.321633, 38.884712, 43.126914, 43.256145], [19.893218, 22.367295, 22.957180, 25.569403, 178.747155], [78.020770, 78.180134, 79.746042, 87.849014, 88.817013], [66.068384, 66.598658, 67.546547, 74.909278, 76.110066], [32.330603, 32.685506, 35.190867, 35.318129, 135.795124], [16.201752, 16.511806, 18.541587, 18.908069, 186.766606]]
### 8
mean: [-1.912422, -0.474136, 0.349463, -3.666633, 3.744550, 2.556337, -3.128889]
std: [1.079439, 4.379686, 2.642952, 1.921631, 3.821275, 3.126731, 2.191134]
pca: [[0.095011, 0.389668, -0.451216, 0.554335, -0.298810, -0.113862, -0.475390, 0.000000, 0.000000, 0.000000], [0.573918, -0.424740, -0.350740, 0.187783, 0.473626, -0.313722, 0.095863, 0.000000, 0.000000, 0.000000], [0.338651, -0.364673, 0.483129, 0.501760, -0.291487, 0.426183, -0.023569, 0.000000, 0.000000, 0.000000], [0.188028, 0.629069, 0.454311, 0.236928, 0.549772, -0.025818, 0.058898, 0.000000, 0.000000, 0.000000], [-0.508436, -0.193084, 0.204971, 0.489394, -0.043210, -0.583637, 0.283183, 0.000000, 0.000000, 0.000000], [-0.417964, -0.062784, -0.381434, 0.329177, 0.393025, 0.604173, 0.219136, 0.000000, 0.000000, 0.000000], [0.279914, 0.312758, -0.214636, 0.041080, -0.377942, 0.025637, 0.795347, 0.000000, 0.000000, 0.000000]]
fourier: [[15.408917, 15.721310, 19.138046, 19.196386, 172.117985], [69.070758, 69.905265, 70.026332, 71.945821, 80.723597], [41.038945, 42.890351, 43.247243, 44.500778, 46.764748], [29.243241, 29.243582, 33.299337, 37.037030, 329.996972], [62.685394, 63.378908, 64.678041, 78.803777, 337.009523], [51.108828, 51.450194, 52.382775, 64.068553, 230.070332], [36.350087, 37.152752, 37.575509, 46.047726, 281.599997]]
### 10
mean: [2.006536, -2.633502, 2.268546, 0.063850, 2.443877, -0.830831, 0.946322]
std: [1.226665, 3.250312, 7.955408, 4.429487, 3.854257, 0.778032, 3.468574]
pca: [[0.094571, -0.463503, 0.082988, -0.050740, 0.467649, 0.009974, 0.740246, 0.000000, 0.000000, 0.000000], [-0.284541, 0.638357, 0.186960, 0.158681, -0.017535, -0.504081, 0.443844, 0.000000, 0.000000, 0.000000], [0.724644, 0.114092, -0.110454, 0.478674, -0.379118, 0.089351, 0.262357, 0.000000, 0.000000, 0.000000], [-0.400248, -0.400603, 0.454550, 0.640991, -0.237399, 0.046721, -0.057378, 0.000000, 0.000000, 0.000000], [0.350021, -0.216424, 0.600731, -0.420127, -0.275597, -0.456146, -0.096120, 0.000000, 0.000000, 0.000000], [0.051578, 0.377156, 0.577069, -0.154246, 0.078838, 0.695002, 0.095128, 0.000000, 0.000000, 0.000000], [0.315612, 0.122798, 0.213205, 0.363247, 0.706214, -0.211045, -0.405741, 0.000000, 0.000000, 0.000000]]
fourier: [[20.408937, 20.762945, 20.880263, 25.895665, 180.588294], [53.339081, 54.159476, 54.807027, 66.962912, 237.015206], [127.563347, 128.908724, 132.727772, 145.032226, 204.169155], [65.314194, 70.011385, 73.444074, 75.579894, 77.433880], [60.679445, 61.291912, 63.634026, 73.529315, 219.948973], [10.820439, 13.344180, 13.588885, 15.021476, 74.774777], [55.984085, 56.379927, 58.338480, 62.027977, 85.168933]]
### 12
mean: [-5.396230]
std: [6.581916]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[107.288913, 109.839522, 109.903639, 134.114096, 485.660658]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.9492972493171692, "std": 1.749297022819519, "pca": [0.03517972677946091, -0.0580839142203331, 0.6494097709655762, 0.44774073362350464, 0.6084036231040955, 0.03001808375120163, -0.04612772539258003, 0.0, 0.0, 0.0], "fourier": [29.790275881111075, 30.349136734219467, 31.772360722698025, 33.696658686935486, 85.43675294518471]}, "1": {"mean": -0.8039793372154236, "std": 2.740971565246582, "pca": [0.4512453079223633, -0.007857807911932468, -0.06901747733354568, -0.3195529282093048, 0.23357868194580078, 0.7866630554199219, -0.12665177881717682, 0.0, 0.0, 0.0], "fourier": [40.88052382174255, 50.76472164528828, 55.81145331394016, 56.17577384682437, 72.35813850164413]}, "2": {"mean": 3.290924310684204, "std": 3.12528920173645, "pca": [-0.5044572353363037, -0.18137916922569275, 0.19716660678386688, -0.341797798871994, 0.09340523183345795, 0.2504533529281616, 0.6967586874961853, 0.0, 0.0, 0.0], "fourier": [53.603020970905945, 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"fourier": [47.40710762827231, 47.410076410284034, 48.97223754912628, 51.88292580200492, 53.339676890059266]}, "6": {"mean": 0.35194146633148193, "std": 3.445923328399658, "pca": [0.5431848168373108, 0.11733503639698029, 0.3850387632846832, -0.5339418649673462, 0.0008848602301441133, -0.45873498916625977, 0.2177048772573471, 0.0, 0.0, 0.0], "fourier": [47.08399520779709, 56.0111193940347, 64.33846129662598, 66.8906810494692, 74.2954384040266]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -3.407398223876953, "std": 2.0963950157165527, "pca": [0.3014662563800812, 0.38409778475761414, -0.5126951932907104, -0.4545665979385376, -0.07887309044599533, -0.5286945104598999, -0.07975570857524872, 0.0, 0.0, 0.0], "fourier": [32.45422802608938, 33.384177895261615, 33.668562540146425, 34.96814544785617, 306.66581600904465]}, "1": {"mean": -0.5431849360466003, "std": 3.192636251449585, "pca": 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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": [[0.323533, -0.683626, 0.188846, 0.849952, -0.451848], [-0.798769, 0.119178, 0.566281, -0.157575, -1.141652], [0.919834, 0.151083, -0.073949, 0.196929, 1.127702], [-0.603614, -0.147537, -0.169096, -0.030511, -1.128118], [-0.02083, -0.258389, 0.408524, -0.616067, -0.477874], [-1.014312, -0.309068, -0.101799, 0.068633, 1.415802], [-1.15098, 0.316648, 0.62276, 0.267594, -1.321447]], "network.0.bias": [0.132524, 0.535926, 0.212271, -0.036344, 0.072242, -0.309547, 0.962336], "network.2.weight": [[-0.456449, -0.134023, -0.247086, -0.574652, 0.30334, -0.876115, -0.694226], [-1.190839, 0.6758, -0.305457, 0.327559, 0.614544, -0.355046, 0.657228], [0.404787, -0.51376, -0.458874, -0.921279, -0.644384, -0.240783, -0.565811], [1.647272, 0.0617, 0.317799, -0.267333, 0.147966, 0.467575, -0.277409], [-0.074129, -0.083211, -0.443774, -0.591504, 0.198852, -0.789189, -0.47358], [0.436466, -0.225476, -0.404201, -0.528249, 0.184436, -0.527859, -0.605748], [0.596819, -0.357796, 0.377514, -0.087003, 0.334437, 0.354651, -0.280171]], "network.2.bias": [-0.275585, 0.634621, -0.089105, 0.123985, 0.12086, -0.259332, -0.025986], "network.4.weight": [[-0.617667, 0.462726, -0.011225, -0.313307, -0.965359, -1.648718, 0.11012], [-0.619934, 0.500078, 0.446007, -0.258007, -1.613148, -1.49648, 0.047969], [-0.317282, -1.061058, -0.511463, 0.470128, -0.439712, 0.035426, 0.345315], [-0.875849, 0.438591, 0.000535, -0.239818, -1.12129, -1.733472, -0.208508], [1.146518, -0.902226, 0.673218, 0.375968, 0.808053, 1.188397, 0.618854], [-0.354007, 0.367243, -0.11931, -0.213946, -0.718988, -1.319683, -0.32467], [0.419986, -0.119229, -0.341565, -0.370318, -0.275491, 0.131152, -0.039779]], "network.4.bias": [0.898514, 0.66666, 0.115036, 0.618952, -0.056971, 0.249139, -0.158435], "network.6.weight": [[-0.298408, -0.376108, -0.253286, -0.432906, 0.288895, -0.378967, 0.180436], [-0.67227, -0.324936, -0.043256, -0.160081, 0.458709, -0.569355, -0.031665], [-0.222802, -0.612458, -0.017664, -0.36321, -0.27104, -0.360682, 0.219325], [-0.981609, -0.498034, 0.116198, -1.021168, 0.822746, -0.884357, -1.014138], [-0.537093, -0.715159, 0.131996, -1.001839, 0.599546, -0.687888, -0.122256], [0.526838, 0.744714, 0.359954, 0.300447, -0.40645, 0.121594, -0.218117], [0.400504, 0.222419, 0.549383, 0.48901, -0.149426, 0.354699, 0.007991]], "network.6.bias": [0.382504, 0.470837, -0.336137, 0.034752, 0.405427, 0.291068, 0.262631], "network.8.weight": [[0.193037, -0.018764, -0.503895, -0.580978, 0.000908, -0.245926, -0.261213], [-0.209931, -0.443613, 0.386471, -0.478636, -0.74055, 0.715554, 0.474727], [-0.536501, -0.601125, 0.409377, -0.30428, -0.136102, 0.340397, 0.590946], [-0.54036, 0.030896, 0.306058, -0.687019, -0.467541, -0.602949, -0.216324], [0.303552, 0.480429, -0.589942, 0.507647, 0.999717, -0.163097, 0.069134], [0.658008, 0.412154, -0.131675, 0.146957, 1.044179, -0.117649, -0.138074], [0.065013, -0.387728, -0.074758, -0.423286, -0.569203, -0.161411, -0.079305]], "network.8.bias": [0.063757, 0.32318, 0.307146, -0.025568, 0.43638, 0.268176, -0.483594], "network.10.weight": [[-0.019678, -0.04961, 0.30543, -0.040478, 0.29346, 0.129504, -0.208474], [0.206387, 0.051177, 0.007662, 0.158549, -0.706993, -0.155848, -0.090366], [0.287233, -0.85253, -0.915734, -0.500058, 0.809267, 0.65103, -0.514357], [-0.08439, 0.628669, 0.665271, -0.626889, -0.285848, -0.351266, -0.221361], [-0.291028, -0.573285, 0.083744, -0.383988, 0.600961, 0.232555, -0.755414], [0.170759, -0.438835, 0.058484, -0.369462, -0.090641, 0.03471, -0.345956], [0.031381, -0.59438, -0.17049, -0.412485, 0.166282, 0.493873, -0.377529]], "network.10.bias": [0.241818, 0.354377, -0.003459, 0.187201, 0.322336, 0.042988, 0.139696], "network.12.weight": [[-0.314004, -0.028299, -0.603291, 0.429297, -0.523739, -0.036118, -0.312203]], "network.12.bias": [-0.466306]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892762184143066, "train_acc": 0.585, "val_loss": 0.7184982895851135, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6826221644878387, "train_acc": 0.585, "val_loss": 0.7015466094017029, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6781721413135529, "train_acc": 0.585, "val_loss": 0.6754012107849121, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5922721326351166, "train_acc": 0.665, "val_loss": 0.5899243354797363, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5368834733963013, "train_acc": 0.835, "val_loss": 0.4375563859939575, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.40331360697746277, "train_acc": 0.85, "val_loss": 0.4947780966758728, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.39217355847358704, "train_acc": 0.825, "val_loss": 0.43779006600379944, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3910527676343918, "train_acc": 0.845, "val_loss": 0.38030800223350525, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3176688104867935, "train_acc": 0.835, "val_loss": 0.33032286167144775, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2719806134700775, "train_acc": 0.865, "val_loss": 0.3878494203090668, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.29441794753074646, "train_acc": 0.9, "val_loss": 0.3226921558380127, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2701728492975235, "train_acc": 0.905, "val_loss": 0.3194887042045593, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.24809517711400986, "train_acc": 0.895, "val_loss": 0.38664206862449646, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7184982895851135, "final_val_loss": 0.6754012107849121, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5899243354797363, "final_val_loss": 0.38664206862449646, "initial_val_acc": 0.76, "final_val_acc": 0.8, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
9,963
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3185, "learning_rate": 0.07228346089539205, "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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.46382,
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[
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[
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],
[
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],
[
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],
[
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-0.097721
]
],
"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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1.014096,
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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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[
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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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[
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],
"network.8.bias": [
0.8027
]
}
## Activation Signature
### 0
mean: [0.441551, 0.022404, 0.628648, 0.970896, 0.421329, -2.701861]
std: [1.618028, 1.766709, 1.807010, 1.533566, 1.393106, 1.439150]
pca: [[0.511171, -0.153905, 0.092675, -0.366052, -0.271097, 0.706358, 0.000000, 0.000000, 0.000000, 0.000000], [0.380857, 0.614377, -0.456142, 0.490585, -0.107620, 0.131025, 0.000000, 0.000000, 0.000000, 0.000000], [0.461630, -0.495425, 0.335081, 0.631895, 0.136430, -0.106153, 0.000000, 0.000000, 0.000000, 0.000000], [0.464772, 0.063527, -0.182023, -0.389418, 0.740560, -0.216201, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394432, -0.240757, -0.318455, 0.260933, 0.503206, 0.603112, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094666, 0.539822, 0.732476, 0.079424, 0.307678, 0.249269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.525597, 25.786613, 26.382805, 27.693678, 39.739570], [26.928623, 27.624599, 27.720026, 27.849564, 28.400226], [25.468992, 25.516985, 29.128213, 36.516181, 56.578351], [23.788996, 24.710883, 25.502293, 28.077197, 87.380593], [21.127664, 22.087972, 22.801371, 25.288523, 37.919569], [21.108595, 21.833490, 25.731624, 26.277600, 243.167469]]
### 2
mean: [-0.669963, -1.516096, -0.918676, 1.945240, -1.040507, 3.593426]
std: [0.415663, 1.481804, 0.705044, 1.939771, 0.482196, 3.315854]
pca: [[-0.068429, 0.461321, 0.010783, 0.206414, 0.833072, -0.213936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350314, -0.391274, 0.038196, 0.811232, -0.075907, -0.242625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120042, 0.708737, -0.440280, 0.248963, -0.473326, -0.058441, 0.000000, 0.000000, 0.000000, 0.000000], [0.463791, -0.162693, -0.492253, 0.342781, 0.203143, 0.597787, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080056, 0.308740, 0.684453, 0.251950, -0.095342, 0.597684, 0.000000, 0.000000, 0.000000, 0.000000], [0.797920, 0.099947, 0.306251, 0.237352, -0.160733, -0.421157, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.599544, 7.038814, 7.396386, 7.466629, 60.296643], [22.839457, 23.446549, 26.399070, 28.596832, 136.448632], [10.216748, 11.042747, 11.462301, 13.983554, 82.680863], [28.833381, 31.093733, 33.236815, 38.930459, 175.071647], [7.227894, 7.386580, 7.519723, 9.237611, 93.645627], [49.860729, 53.152332, 53.568358, 69.405936, 323.408385]]
### 4
mean: [4.660370, 3.915674, 3.844307, 3.847268, -0.829961, 4.031787]
std: [4.072409, 3.604466, 3.343371, 3.481312, 0.363581, 3.421446]
pca: [[0.506267, -0.347514, -0.301148, -0.116641, 0.020294, 0.719875, 0.000000, 0.000000, 0.000000, 0.000000], [0.448113, 0.040260, 0.004150, 0.839522, 0.255892, -0.165161, 0.000000, 0.000000, 0.000000, 0.000000], [0.415601, 0.230204, 0.788902, -0.291490, 0.240728, 0.094857, 0.000000, 0.000000, 0.000000, 0.000000], [0.432713, 0.690945, -0.456840, -0.257322, -0.143622, -0.199522, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045120, -0.142387, -0.279079, -0.279483, 0.878412, -0.223801, 0.000000, 0.000000, 0.000000, 0.000000], [0.425308, -0.571786, 0.018390, -0.228704, -0.289694, -0.596329, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.452406, 65.445716, 66.123143, 84.104104, 419.433276], [51.407169, 57.876282, 58.620474, 74.313726, 352.410648], [47.567971, 53.570298, 54.202143, 68.940715, 345.987605], [49.613203, 55.911928, 57.120009, 71.382565, 346.254084], [5.068255, 5.786847, 5.884938, 7.455348, 74.696490], [49.422036, 54.960268, 55.309472, 70.827574, 362.860817]]
### 6
mean: [-0.306893, -4.694686, -8.042588, -5.391908, -5.679408, 12.502497]
std: [0.100242, 4.618464, 6.837699, 4.661128, 4.804783, 11.060271]
pca: [[-0.006357, 0.440543, -0.226691, -0.022284, 0.865553, 0.069386, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301125, -0.183190, 0.267310, 0.741154, 0.141253, 0.484818, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445820, -0.053437, 0.739813, -0.445096, 0.213172, -0.086677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303903, 0.526074, -0.138598, -0.286265, -0.364176, 0.630165, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313268, 0.593982, 0.093893, 0.402870, -0.223757, -0.572592, 0.000000, 0.000000, 0.000000, 0.000000], [0.721134, 0.374085, 0.549370, 0.088493, -0.052274, 0.166299, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.513064, 1.554241, 1.727284, 1.907571, 27.620368], [65.957995, 74.068533, 74.866821, 95.395644, 422.521729], [97.500925, 109.673682, 110.999551, 141.076562, 723.832863], [66.146368, 74.724624, 75.781646, 96.068306, 485.271778], [68.154825, 77.045716, 78.150759, 98.987997, 511.146645], [157.882605, 177.290171, 179.277685, 228.470835, 1125.224732]]
### 8
mean: [-6.543406]
std: [6.588587]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.632809, 105.812919, 106.766466, 135.903785, 588.906480]]
## 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: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.582824,
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0.46382,
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[
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[
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0.551475,
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[
-0.687382,
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0.352858,
0.156009,
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],
[
0.479839,
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0.043205,
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],
[
-0.154785,
0.086999,
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-0.097721
]
],
"network.0.bias": [
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0.39108,
-0.02425,
0.595006,
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],
"network.2.weight": [
[
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],
[
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0.147215,
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],
[
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0.077373,
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0.003645,
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[
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[
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],
[
0.878517,
0.85284,
0.807494,
1.014096,
-0.470481,
-0.147388
]
],
"network.2.bias": [
-0.246535,
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-0.259777,
-0.229913,
0.465674
],
"network.4.weight": [
[
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0.446376,
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1.018312
],
[
-0.159802,
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0.132969,
0.466252,
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0.863097
],
[
0.027132,
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0.389302,
-0.120327,
0.835166
],
[
0.517022,
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0.122735,
0.70816,
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0.677274
],
[
0.083714,
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0.228244,
-0.086655
],
[
-0.196534,
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0.254891,
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0.928861
]
],
"network.4.bias": [
0.007385,
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0.084024
],
"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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1.094008
]
],
"network.6.bias": [
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"network.8.weight": [
[
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-0.036637,
0.035858,
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],
"network.8.bias": [
0.8027
]
}
## Activation Signature
### 0
mean: [0.441551, 0.022404, 0.628648, 0.970896, 0.421329, -2.701861]
std: [1.618028, 1.766709, 1.807010, 1.533566, 1.393106, 1.439150]
pca: [[0.511171, -0.153905, 0.092675, -0.366052, -0.271097, 0.706358, 0.000000, 0.000000, 0.000000, 0.000000], [0.380857, 0.614377, -0.456142, 0.490585, -0.107620, 0.131025, 0.000000, 0.000000, 0.000000, 0.000000], [0.461630, -0.495425, 0.335081, 0.631895, 0.136430, -0.106153, 0.000000, 0.000000, 0.000000, 0.000000], [0.464772, 0.063527, -0.182023, -0.389418, 0.740560, -0.216201, 0.000000, 0.000000, 0.000000, 0.000000], [-0.394432, -0.240757, -0.318455, 0.260933, 0.503206, 0.603112, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094666, 0.539822, 0.732476, 0.079424, 0.307678, 0.249269, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.525597, 25.786613, 26.382805, 27.693678, 39.739570], [26.928623, 27.624599, 27.720026, 27.849564, 28.400226], [25.468992, 25.516985, 29.128213, 36.516181, 56.578351], [23.788996, 24.710883, 25.502293, 28.077197, 87.380593], [21.127664, 22.087972, 22.801371, 25.288523, 37.919569], [21.108595, 21.833490, 25.731624, 26.277600, 243.167469]]
### 2
mean: [-0.669963, -1.516096, -0.918676, 1.945240, -1.040507, 3.593426]
std: [0.415663, 1.481804, 0.705044, 1.939771, 0.482196, 3.315854]
pca: [[-0.068429, 0.461321, 0.010783, 0.206414, 0.833072, -0.213936, 0.000000, 0.000000, 0.000000, 0.000000], [-0.350314, -0.391274, 0.038196, 0.811232, -0.075907, -0.242625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120042, 0.708737, -0.440280, 0.248963, -0.473326, -0.058441, 0.000000, 0.000000, 0.000000, 0.000000], [0.463791, -0.162693, -0.492253, 0.342781, 0.203143, 0.597787, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080056, 0.308740, 0.684453, 0.251950, -0.095342, 0.597684, 0.000000, 0.000000, 0.000000, 0.000000], [0.797920, 0.099947, 0.306251, 0.237352, -0.160733, -0.421157, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[6.599544, 7.038814, 7.396386, 7.466629, 60.296643], [22.839457, 23.446549, 26.399070, 28.596832, 136.448632], [10.216748, 11.042747, 11.462301, 13.983554, 82.680863], [28.833381, 31.093733, 33.236815, 38.930459, 175.071647], [7.227894, 7.386580, 7.519723, 9.237611, 93.645627], [49.860729, 53.152332, 53.568358, 69.405936, 323.408385]]
### 4
mean: [4.660370, 3.915674, 3.844307, 3.847268, -0.829961, 4.031787]
std: [4.072409, 3.604466, 3.343371, 3.481312, 0.363581, 3.421446]
pca: [[0.506267, -0.347514, -0.301148, -0.116641, 0.020294, 0.719875, 0.000000, 0.000000, 0.000000, 0.000000], [0.448113, 0.040260, 0.004150, 0.839522, 0.255892, -0.165161, 0.000000, 0.000000, 0.000000, 0.000000], [0.415601, 0.230204, 0.788902, -0.291490, 0.240728, 0.094857, 0.000000, 0.000000, 0.000000, 0.000000], [0.432713, 0.690945, -0.456840, -0.257322, -0.143622, -0.199522, 0.000000, 0.000000, 0.000000, 0.000000], [-0.045120, -0.142387, -0.279079, -0.279483, 0.878412, -0.223801, 0.000000, 0.000000, 0.000000, 0.000000], [0.425308, -0.571786, 0.018390, -0.228704, -0.289694, -0.596329, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.452406, 65.445716, 66.123143, 84.104104, 419.433276], [51.407169, 57.876282, 58.620474, 74.313726, 352.410648], [47.567971, 53.570298, 54.202143, 68.940715, 345.987605], [49.613203, 55.911928, 57.120009, 71.382565, 346.254084], [5.068255, 5.786847, 5.884938, 7.455348, 74.696490], [49.422036, 54.960268, 55.309472, 70.827574, 362.860817]]
### 6
mean: [-0.306893, -4.694686, -8.042588, -5.391908, -5.679408, 12.502497]
std: [0.100242, 4.618464, 6.837699, 4.661128, 4.804783, 11.060271]
pca: [[-0.006357, 0.440543, -0.226691, -0.022284, 0.865553, 0.069386, 0.000000, 0.000000, 0.000000, 0.000000], [-0.301125, -0.183190, 0.267310, 0.741154, 0.141253, 0.484818, 0.000000, 0.000000, 0.000000, 0.000000], [-0.445820, -0.053437, 0.739813, -0.445096, 0.213172, -0.086677, 0.000000, 0.000000, 0.000000, 0.000000], [-0.303903, 0.526074, -0.138598, -0.286265, -0.364176, 0.630165, 0.000000, 0.000000, 0.000000, 0.000000], [-0.313268, 0.593982, 0.093893, 0.402870, -0.223757, -0.572592, 0.000000, 0.000000, 0.000000, 0.000000], [0.721134, 0.374085, 0.549370, 0.088493, -0.052274, 0.166299, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.513064, 1.554241, 1.727284, 1.907571, 27.620368], [65.957995, 74.068533, 74.866821, 95.395644, 422.521729], [97.500925, 109.673682, 110.999551, 141.076562, 723.832863], [66.146368, 74.724624, 75.781646, 96.068306, 485.271778], [68.154825, 77.045716, 78.150759, 98.987997, 511.146645], [157.882605, 177.290171, 179.277685, 228.470835, 1125.224732]]
### 8
mean: [-6.543406]
std: [6.588587]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[94.632809, 105.812919, 106.766466, 135.903785, 588.906480]]
## 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": 0.4415507912635803, "std": 1.6180275678634644, "pca": [0.5111706256866455, -0.1539049595594406, 0.09267536550760269, -0.36605173349380493, -0.27109667658805847, 0.7063581347465515, 0.0, 0.0, 0.0, 0.0], "fourier": [25.525596557580123, 25.78661317844434, 26.382805186209517, 27.693677790179766, 39.73957046866417]}, "1": {"mean": 0.022404108196496964, "std": 1.7667086124420166, "pca": [0.38085663318634033, 0.6143774390220642, -0.4561416208744049, 0.49058523774147034, -0.10762004554271698, 0.13102450966835022, 0.0, 0.0, 0.0, 0.0], "fourier": [26.928622548365972, 27.624599014202094, 27.720025686467043, 27.84956419026187, 28.400225614752152]}, "2": {"mean": 0.6286483407020569, "std": 1.8070095777511597, "pca": [0.46162980794906616, -0.49542495608329773, 0.3350805640220642, 0.6318952441215515, 0.13642971217632294, -0.10615251213312149, 0.0, 0.0, 0.0, 0.0], "fourier": [25.46899214866136, 25.51698466691897, 29.128213261472883, 36.51618138227038, 56.578350918367505]}, "3": {"mean": 0.970895528793335, "std": 1.5335657596588135, "pca": [0.4647716283798218, 0.06352745741605759, -0.182023286819458, -0.3894183039665222, 0.7405604124069214, -0.21620067954063416, 0.0, 0.0, 0.0, 0.0], "fourier": [23.788995957645238, 24.710883254755164, 25.502293358676663, 28.077197215244173, 87.38059303164482]}, "4": {"mean": 0.42132851481437683, "std": 1.3931058645248413, "pca": [-0.39443162083625793, -0.2407570630311966, -0.3184548020362854, 0.2609325349330902, 0.5032057762145996, 0.6031122803688049, 0.0, 0.0, 0.0, 0.0], "fourier": [21.12766427203141, 22.08797245570132, 22.801370926447053, 25.288523362619756, 37.91956862807274]}, "5": {"mean": -2.7018609046936035, "std": 1.4391498565673828, "pca": [-0.09466645866632462, 0.5398222208023071, 0.7324760556221008, 0.07942447066307068, 0.3076778054237366, 0.24926935136318207, 0.0, 0.0, 0.0, 0.0], "fourier": [21.108595340105495, 21.833489722443954, 25.731623863132402, 26.277599694371748, 243.16746872663498]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": -0.6699627637863159, "std": 0.4156632125377655, "pca": [-0.06842909753322601, 0.4613214433193207, 0.010783464647829533, 0.20641355216503143, 0.8330717086791992, -0.21393625438213348, 0.0, 0.0, 0.0, 0.0], "fourier": [6.599544119597667, 7.038813615496528, 7.39638604959665, 7.466628922985565, 60.296643406152725]}, "1": {"mean": -1.5160959959030151, "std": 1.4818040132522583, "pca": [-0.35031405091285706, -0.39127352833747864, 0.038195762783288956, 0.8112319111824036, -0.0759073868393898, -0.24262534081935883, 0.0, 0.0, 0.0, 0.0], "fourier": [22.83945727509555, 23.4465489961093, 26.399069762838693, 28.596831698305472, 136.44863159954548]}, "2": {"mean": -0.9186763167381287, "std": 0.705043613910675, "pca": [-0.12004163861274719, 0.7087373733520508, -0.44027969241142273, 0.24896275997161865, -0.47332578897476196, 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0.01839016005396843, -0.2287040501832962, -0.2896939516067505, -0.5963287353515625, 0.0, 0.0, 0.0, 0.0], "fourier": [49.422035595421846, 54.96026763247206, 55.3094720913923, 70.82757363443129, 362.8608168847859]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": -0.306892991065979, "std": 0.10024216026067734, "pca": [-0.006357272155582905, 0.44054311513900757, -0.22669070959091187, -0.022284485399723053, 0.8655528426170349, 0.06938574463129044, 0.0, 0.0, 0.0, 0.0], "fourier": [1.5130642699627965, 1.5542405217502806, 1.727283872308166, 1.9075707982646743, 27.620368137955666]}, "1": {"mean": -4.694686412811279, "std": 4.61846399307251, "pca": [-0.30112525820732117, -0.18319010734558105, 0.26730990409851074, 0.7411543130874634, 0.14125339686870575, 0.4848176836967468, 0.0, 0.0, 0.0, 0.0], "fourier": [65.95799464099004, 74.0685327534414, 74.86682056581358, 95.3956435179863, 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"5": {"mean": 12.502496719360352, "std": 11.060271263122559, "pca": [0.7211338877677917, 0.3740847408771515, 0.5493701696395874, 0.0884934514760971, -0.052273690700531006, 0.1662989854812622, 0.0, 0.0, 0.0, 0.0], "fourier": [157.8826053599087, 177.2901710876484, 179.27768536604628, 228.47083518155108, 1125.224732413888]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -6.543405532836914, "std": 6.588586807250977, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [94.63280885921402, 105.81291941087683, 106.76646584566805, 135.9037848506665, 588.906479716301]}}, "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": "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": [[-0.582824, -0.308492, 0.232906, 0.46382, 0.001231], [-0.394055, -0.23401, -0.205298, -0.021523, 0.829557], [-0.601839, 0.246376, -0.06999, 0.551475, -0.067705], [-0.687382, -0.117723, 0.352858, 0.156009, 0.303392], [0.479839, 0.377346, 0.043205, -0.159551, -0.04443], [-0.154785, 0.086999, -0.38037, -0.546825, -0.097721]], "network.0.bias": [0.246314, 0.39108, -0.02425, 0.595006, -0.556718, -0.580063], "network.2.weight": [[-0.105644, -0.332768, -0.014619, -0.020489, -0.095032, 0.426111], [-0.572343, -0.151155, -0.312198, -0.531156, 0.147215, 0.110709], [-0.157016, -0.532827, 0.077373, -0.071093, 0.003645, -0.01308], [0.349518, 0.579005, 0.679196, 0.65522, -0.030107, -0.387233], [-0.016146, -0.210758, -0.234698, -0.170535, -0.275296, -0.015089], [0.878517, 0.85284, 0.807494, 1.014096, -0.470481, -0.147388]], "network.2.bias": [-0.246535, -0.016068, -0.420258, -0.259777, -0.229913, 0.465674], "network.4.weight": [[-0.134949, -0.433277, 0.332127, 0.446376, 0.357045, 1.018312], [-0.159802, -0.196496, 0.132969, 0.466252, -0.096949, 0.863097], [0.027132, 0.224332, -0.13803, 0.389302, -0.120327, 0.835166], [0.517022, -0.30316, 0.122735, 0.70816, -0.057043, 0.677274], [0.083714, -0.135617, -0.015021, -0.053139, 0.228244, -0.086655], [-0.196534, -0.280525, -0.046927, 0.254891, -0.346132, 0.928861]], "network.4.bias": [0.007385, -0.213363, -0.052553, -0.065746, -0.393554, 0.084024], "network.6.weight": [[-0.030178, 0.038897, -0.028294, -0.174327, 0.017108, 0.170467], [-0.612156, -0.350516, 0.196769, -0.092738, 0.169194, -0.361882], [-0.548366, -0.202035, 0.025875, -0.439224, 0.16257, -0.724647], [-0.221771, -0.137391, -0.222405, -0.457256, 0.285155, -0.279976], [-0.416311, -0.098831, -0.06423, -0.520946, 0.291154, -0.222284], [0.374053, 0.695967, 0.792759, 0.200054, -0.355662, 1.094008]], "network.6.bias": [-0.223441, 0.625091, -0.145409, -0.051437, -0.174591, -0.246378], "network.8.weight": [[0.171377, 0.59344, 0.320977, -0.036637, 0.035858, -0.591096]], "network.8.bias": [0.8027]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6931041777133942, "train_acc": 0.48, "val_loss": 0.7128022909164429, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6559754014015198, "train_acc": 0.58, "val_loss": 0.6885749101638794, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6157287061214447, "train_acc": 0.58, "val_loss": 0.5761457681655884, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5967485904693604, "train_acc": 0.505, "val_loss": 0.4856298863887787, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4960035979747772, "train_acc": 0.63, "val_loss": 0.4688853323459625, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4615469425916672, "train_acc": 0.905, "val_loss": 0.38803794980049133, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.38546527922153473, "train_acc": 0.91, "val_loss": 0.31667178869247437, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.36969849467277527, "train_acc": 0.91, "val_loss": 0.26960891485214233, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.30527283251285553, "train_acc": 0.925, "val_loss": 0.25020667910575867, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2559884935617447, "train_acc": 0.93, "val_loss": 0.16065198183059692, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.22714688628911972, "train_acc": 0.935, "val_loss": 0.1239919364452362, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.19257216900587082, "train_acc": 0.935, "val_loss": 0.10889387130737305, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.20000268518924713, "train_acc": 0.945, "val_loss": 0.05841462314128876, "val_acc": 1.0}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7128022909164429, "final_val_loss": 0.5761457681655884, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4856298863887787, "final_val_loss": 0.05841462314128876, "initial_val_acc": 0.48, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 9}, "improvement": 0.52, "first_improvement_epoch": 2}}
|
9,964
|
{"target_pattern": "palindrome", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3758, "learning_rate": 0.08696535424016912, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.635469,
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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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],
[
0.21011,
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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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0.354176
],
[
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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.bias": [
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]
}
## Activation Signature
### 0
mean: [1.297526, -0.081519, 1.319119, -0.681744, 2.513320]
std: [1.991986, 1.715517, 2.158148, 2.115489, 2.481845]
pca: [[0.477394, 0.010330, 0.448232, 0.749413, 0.097247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098296, -0.558162, 0.698125, -0.306767, -0.311944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288351, 0.784889, 0.414367, -0.028491, -0.358178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.536793, 0.003027, 0.303383, 0.058576, 0.785093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625411, 0.268866, 0.219018, -0.583122, 0.385449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.007987, 36.371905, 36.422001, 37.281160, 116.777329], [25.835375, 27.130613, 28.592026, 28.648340, 31.058269], [32.564193, 35.897489, 36.791313, 39.519679, 118.720721], [35.124414, 37.133826, 42.687212, 46.456772, 61.356979], [35.634501, 45.717675, 49.066735, 51.276745, 226.198810]]
### 2
mean: [2.582558, 1.200803, 0.808753, -0.044117, -2.631672]
std: [2.556298, 1.974134, 1.703967, 1.395004, 4.486554]
pca: [[-0.420543, 0.545983, 0.705045, -0.076740, 0.148555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335321, 0.240657, -0.538796, 0.020735, 0.734107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.229947, 0.762580, -0.385675, -0.195839, -0.422490, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.232507, 0.226349, 0.056224, 0.943065, 0.046629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.777025, 0.105950, 0.246382, -0.256821, 0.508277, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.084737, 39.983319, 51.033966, 53.027676, 232.430254], [31.358175, 33.309642, 34.107107, 38.525809, 108.072240], [25.233745, 27.518543, 32.902748, 34.350485, 72.787753], [21.307537, 23.723927, 24.008220, 24.304586, 27.078493], [69.613043, 70.475669, 81.229718, 88.238400, 236.850472]]
### 4
mean: [1.312572, 1.342047, -1.502130, -5.076955, 1.613147]
std: [2.577355, 1.302721, 1.315493, 2.425435, 2.357419]
pca: [[0.615072, 0.332411, -0.459829, -0.236217, 0.493911, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231265, -0.387410, -0.368421, 0.633836, 0.508869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318830, 0.117427, 0.558061, -0.283686, 0.701889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347598, 0.849304, -0.109607, 0.377085, -0.060429, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587985, 0.065655, 0.573914, 0.565493, 0.028353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.210860, 43.032011, 43.697219, 49.580911, 118.131494], [20.526014, 21.331512, 22.903280, 25.291328, 120.784252], [20.484627, 22.728911, 24.344361, 25.366208, 135.191738], [37.686854, 38.768880, 39.720846, 39.857538, 456.925962], [38.456808, 39.915587, 45.568815, 45.902283, 145.183213]]
### 6
mean: [0.858415, 1.485102, -0.887249, -2.651792, -0.118739]
std: [2.803508, 2.720368, 3.239414, 3.966670, 1.403983]
pca: [[-0.422641, 0.588068, 0.024724, -0.344088, 0.597112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412503, -0.442581, 0.280853, 0.580624, 0.466862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494964, -0.031119, -0.651620, 0.215318, 0.532046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605100, 0.329818, 0.668358, 0.202999, 0.192778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200201, 0.590381, -0.221811, 0.675950, -0.324439, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.517153, 45.600573, 48.139176, 54.930891, 77.257359], [44.098399, 44.664415, 51.028754, 54.229321, 133.659157], [51.686211, 52.717614, 58.588186, 64.454557, 79.852372], [62.257189, 69.143064, 69.164998, 80.443499, 238.661257], [23.199634, 23.829554, 24.349489, 24.387098, 25.668096]]
### 8
mean: [-1.760681]
std: [4.224857]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.574078, 73.585100, 74.953547, 86.975017, 158.461303]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.635469,
-0.683452,
0.00391,
0.710475,
0.347933
],
[
-0.657663,
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0.37041,
0.282087,
0.015157
],
[
0.184078,
0.324423,
0.687131,
-0.074449,
-0.887203
],
[
-0.604238,
0.308766,
0.210354,
-0.076567,
-0.889604
],
[
0.64826,
-0.088741,
0.031542,
0.570732,
0.786258
]
],
"network.0.bias": [
-0.208737,
0.148092,
0.317401,
0.329522,
-0.391207
],
"network.2.weight": [
[
0.556905,
0.392072,
0.174648,
-0.334314,
0.631721
],
[
0.664694,
0.329677,
-0.140023,
-0.032824,
0.315539
],
[
0.21011,
0.415735,
0.636142,
0.268558,
-0.537311
],
[
-0.245119,
0.011688,
0.239963,
0.571321,
-0.259039
],
[
-0.923766,
-0.248828,
0.658446,
0.316445,
-1.064278
]
],
"network.2.bias": [
-0.177518,
-0.506094,
0.522124,
0.360557,
0.365181
],
"network.4.weight": [
[
0.384976,
0.547513,
-0.434759,
-0.777545,
0.116814
],
[
-0.141766,
-0.022357,
0.541429,
0.107119,
0.354176
],
[
-0.212178,
-0.479488,
-0.162343,
-0.119438,
0.035623
],
[
-0.98144,
0.081863,
-1.245204,
-0.65008,
-0.005835
],
[
0.548778,
0.380636,
0.253825,
-0.449309,
-0.424741
]
],
"network.4.bias": [
0.324141,
0.938313,
-0.120195,
-1.059297,
-0.173896
],
"network.6.weight": [
[
0.823422,
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0.744952,
-0.261795,
0.144536
],
[
0.431167,
0.030868,
0.55223,
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0.865275
],
[
-0.417836,
0.456117,
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0.111136,
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],
[
-1.421652,
0.035433,
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],
[
0.606795,
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1.065303,
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]
],
"network.6.bias": [
0.233326,
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0.86443,
0.398418,
0.144941
],
"network.8.weight": [
[
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0.512847,
0.332515,
-0.369449
]
],
"network.8.bias": [
0.355845
]
}
## Activation Signature
### 0
mean: [1.297526, -0.081519, 1.319119, -0.681744, 2.513320]
std: [1.991986, 1.715517, 2.158148, 2.115489, 2.481845]
pca: [[0.477394, 0.010330, 0.448232, 0.749413, 0.097247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.098296, -0.558162, 0.698125, -0.306767, -0.311944, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.288351, 0.784889, 0.414367, -0.028491, -0.358178, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.536793, 0.003027, 0.303383, 0.058576, 0.785093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.625411, 0.268866, 0.219018, -0.583122, 0.385449, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.007987, 36.371905, 36.422001, 37.281160, 116.777329], [25.835375, 27.130613, 28.592026, 28.648340, 31.058269], [32.564193, 35.897489, 36.791313, 39.519679, 118.720721], [35.124414, 37.133826, 42.687212, 46.456772, 61.356979], [35.634501, 45.717675, 49.066735, 51.276745, 226.198810]]
### 2
mean: [2.582558, 1.200803, 0.808753, -0.044117, -2.631672]
std: [2.556298, 1.974134, 1.703967, 1.395004, 4.486554]
pca: [[-0.420543, 0.545983, 0.705045, -0.076740, 0.148555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.335321, 0.240657, -0.538796, 0.020735, 0.734107, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.229947, 0.762580, -0.385675, -0.195839, -0.422490, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.232507, 0.226349, 0.056224, 0.943065, 0.046629, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.777025, 0.105950, 0.246382, -0.256821, 0.508277, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[39.084737, 39.983319, 51.033966, 53.027676, 232.430254], [31.358175, 33.309642, 34.107107, 38.525809, 108.072240], [25.233745, 27.518543, 32.902748, 34.350485, 72.787753], [21.307537, 23.723927, 24.008220, 24.304586, 27.078493], [69.613043, 70.475669, 81.229718, 88.238400, 236.850472]]
### 4
mean: [1.312572, 1.342047, -1.502130, -5.076955, 1.613147]
std: [2.577355, 1.302721, 1.315493, 2.425435, 2.357419]
pca: [[0.615072, 0.332411, -0.459829, -0.236217, 0.493911, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231265, -0.387410, -0.368421, 0.633836, 0.508869, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.318830, 0.117427, 0.558061, -0.283686, 0.701889, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.347598, 0.849304, -0.109607, 0.377085, -0.060429, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.587985, 0.065655, 0.573914, 0.565493, 0.028353, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.210860, 43.032011, 43.697219, 49.580911, 118.131494], [20.526014, 21.331512, 22.903280, 25.291328, 120.784252], [20.484627, 22.728911, 24.344361, 25.366208, 135.191738], [37.686854, 38.768880, 39.720846, 39.857538, 456.925962], [38.456808, 39.915587, 45.568815, 45.902283, 145.183213]]
### 6
mean: [0.858415, 1.485102, -0.887249, -2.651792, -0.118739]
std: [2.803508, 2.720368, 3.239414, 3.966670, 1.403983]
pca: [[-0.422641, 0.588068, 0.024724, -0.344088, 0.597112, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.412503, -0.442581, 0.280853, 0.580624, 0.466862, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.494964, -0.031119, -0.651620, 0.215318, 0.532046, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.605100, 0.329818, 0.668358, 0.202999, 0.192778, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200201, 0.590381, -0.221811, 0.675950, -0.324439, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.517153, 45.600573, 48.139176, 54.930891, 77.257359], [44.098399, 44.664415, 51.028754, 54.229321, 133.659157], [51.686211, 52.717614, 58.588186, 64.454557, 79.852372], [62.257189, 69.143064, 69.164998, 80.443499, 238.661257], [23.199634, 23.829554, 24.349489, 24.387098, 25.668096]]
### 8
mean: [-1.760681]
std: [4.224857]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[64.574078, 73.585100, 74.953547, 86.975017, 158.461303]]
## 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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.635469, -0.683452, 0.00391, 0.710475, 0.347933], [-0.657663, -0.443714, 0.37041, 0.282087, 0.015157], [0.184078, 0.324423, 0.687131, -0.074449, -0.887203], [-0.604238, 0.308766, 0.210354, -0.076567, -0.889604], [0.64826, -0.088741, 0.031542, 0.570732, 0.786258]], "network.0.bias": [-0.208737, 0.148092, 0.317401, 0.329522, -0.391207], "network.2.weight": [[0.556905, 0.392072, 0.174648, -0.334314, 0.631721], [0.664694, 0.329677, -0.140023, -0.032824, 0.315539], [0.21011, 0.415735, 0.636142, 0.268558, -0.537311], [-0.245119, 0.011688, 0.239963, 0.571321, -0.259039], [-0.923766, -0.248828, 0.658446, 0.316445, -1.064278]], "network.2.bias": [-0.177518, -0.506094, 0.522124, 0.360557, 0.365181], "network.4.weight": [[0.384976, 0.547513, -0.434759, -0.777545, 0.116814], [-0.141766, -0.022357, 0.541429, 0.107119, 0.354176], [-0.212178, -0.479488, -0.162343, -0.119438, 0.035623], [-0.98144, 0.081863, -1.245204, -0.65008, -0.005835], [0.548778, 0.380636, 0.253825, -0.449309, -0.424741]], "network.4.bias": [0.324141, 0.938313, -0.120195, -1.059297, -0.173896], "network.6.weight": [[0.823422, -0.742727, 0.744952, -0.261795, 0.144536], [0.431167, 0.030868, 0.55223, -0.0511, 0.865275], [-0.417836, 0.456117, -0.473689, 0.111136, -0.923258], [-1.421652, 0.035433, -0.658249, -0.192954, -0.427074], [0.606795, -0.555096, 1.065303, -0.265525, -0.260521]], "network.6.bias": [0.233326, -0.799244, 0.86443, 0.398418, 0.144941], "network.8.weight": [[-0.753255, -0.762542, 0.512847, 0.332515, -0.369449]], "network.8.bias": [0.355845]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6957958340644836, "train_acc": 0.565, "val_loss": 0.6945840716362, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687051951885223, "train_acc": 0.565, "val_loss": 0.6270918846130371, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5505288690328598, "train_acc": 0.61, "val_loss": 0.4889330267906189, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41452352702617645, "train_acc": 0.835, "val_loss": 0.5601585507392883, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3546638935804367, "train_acc": 0.85, "val_loss": 0.4439699053764343, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3253784477710724, "train_acc": 0.85, "val_loss": 0.4677880108356476, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.28967373073101044, "train_acc": 0.89, "val_loss": 0.3973451554775238, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2844659090042114, "train_acc": 0.895, "val_loss": 0.3458383083343506, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2749851569533348, "train_acc": 0.89, "val_loss": 0.3671046793460846, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2933308333158493, "train_acc": 0.91, "val_loss": 0.37976646423339844, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.25971952080726624, "train_acc": 0.91, "val_loss": 0.35961806774139404, "val_acc": 0.84}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6945840716362, "final_val_loss": 0.6270918846130371, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4889330267906189, "final_val_loss": 0.35961806774139404, "initial_val_acc": 0.76, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 8}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
9,965
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.42, "improved_accuracy": 0.74, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2031, "learning_rate": 0.09614447287864233, "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:
{
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}
## Activation Signature
### 0
mean: [1.997508, -2.683517, -1.415525, 1.655846, -0.607882, -3.130990, 0.903101]
std: [3.049278, 1.647073, 1.386640, 1.955131, 1.956723, 1.570737, 2.009274]
pca: [[0.718526, 0.216544, 0.019913, 0.398634, -0.286728, 0.423594, 0.126011, 0.000000, 0.000000, 0.000000], [-0.115542, 0.534067, -0.306906, 0.232454, -0.312713, -0.315585, -0.596501, 0.000000, 0.000000, 0.000000], [-0.051892, 0.455467, -0.287523, 0.257218, 0.369839, -0.312680, 0.637556, 0.000000, 0.000000, 0.000000], [0.469115, -0.056407, 0.064957, 0.055137, 0.735799, -0.193962, -0.436426, 0.000000, 0.000000, 0.000000], [-0.328878, 0.241177, 0.785651, 0.441485, 0.114496, 0.075251, -0.052380, 0.000000, 0.000000, 0.000000], [-0.257162, 0.387316, -0.227688, -0.228841, 0.339994, 0.737159, -0.143683, 0.000000, 0.000000, 0.000000], [-0.270768, -0.499069, -0.386567, 0.685986, 0.114504, 0.191099, -0.089297, 0.000000, 0.000000, 0.000000]]
fourier: [[47.090187, 48.358510, 49.135473, 58.443476, 179.775715], [28.129732, 29.138012, 30.549295, 33.742896, 241.516544], [23.744895, 24.583206, 27.015030, 27.675800, 127.397203], [29.532087, 31.208410, 35.224146, 35.246512, 149.026159], [29.958486, 30.250257, 35.048845, 42.053202, 54.709367], [26.243394, 26.960636, 27.000261, 29.457591, 281.789141], [32.960352, 35.095565, 41.968621, 45.766612, 81.279057]]
### 2
mean: [0.077585, -1.985213, -1.390935, 1.712246, 1.751449, -2.841930, 0.633774]
std: [0.395749, 1.254854, 2.307448, 1.980962, 2.991723, 1.308615, 2.633924]
pca: [[0.039742, 0.006865, 0.506358, -0.492753, -0.459604, -0.300619, 0.444480, 0.000000, 0.000000, 0.000000], [-0.208322, 0.380294, -0.008057, -0.236391, 0.033625, 0.801071, 0.336434, 0.000000, 0.000000, 0.000000], [-0.444255, 0.297166, 0.582822, 0.540439, 0.224929, -0.144787, 0.104965, 0.000000, 0.000000, 0.000000], [-0.334114, -0.570376, -0.293006, 0.151186, 0.147891, -0.055841, 0.655240, 0.000000, 0.000000, 0.000000], [0.602522, -0.026816, 0.077561, 0.591023, -0.375374, 0.239680, 0.287353, 0.000000, 0.000000, 0.000000], [-0.070374, 0.645599, -0.549145, 0.094280, -0.180638, -0.406175, 0.264937, 0.000000, 0.000000, 0.000000], [0.527296, 0.155489, 0.102114, -0.167886, 0.735957, -0.146310, 0.310047, 0.000000, 0.000000, 0.000000]]
fourier: [[6.451760, 6.761627, 6.982652, 7.565940, 9.265386], [19.709785, 20.238521, 21.516044, 21.851529, 178.669177], [35.019389, 35.816480, 40.556755, 41.096224, 125.184174], [34.134481, 36.454578, 38.485000, 44.033119, 154.102142], [50.381009, 52.141459, 52.717988, 61.631295, 157.630374], [20.169848, 20.587428, 20.827664, 22.602969, 255.773718], [43.735039, 46.190639, 47.524863, 55.819489, 57.039641]]
### 4
mean: [1.405018, 0.971022, 1.530792, -1.580568, -1.212101, -1.627931, -2.265419]
std: [2.633258, 2.127469, 3.606703, 0.812554, 0.423945, 2.997321, 1.006625]
pca: [[-0.445749, -0.426487, -0.096632, 0.225951, 0.740298, 0.048126, -0.093097, 0.000000, 0.000000, 0.000000], [-0.358681, -0.359665, -0.159316, -0.220621, -0.347670, 0.537455, 0.508136, 0.000000, 0.000000, 0.000000], [0.631538, -0.194050, 0.444483, -0.011500, 0.313314, 0.501605, 0.126626, 0.000000, 0.000000, 0.000000], [-0.071641, 0.409400, -0.257854, 0.508680, -0.078271, 0.621298, -0.331478, 0.000000, 0.000000, 0.000000], [-0.016518, 0.238294, 0.125900, 0.601346, 0.064230, -0.206709, 0.720154, 0.000000, 0.000000, 0.000000], [-0.517601, 0.290212, 0.779640, -0.123115, -0.025890, 0.113340, -0.106555, 0.000000, 0.000000, 0.000000], [-0.022353, 0.585217, -0.278456, -0.514403, 0.471165, 0.125031, 0.277928, 0.000000, 0.000000, 0.000000]]
fourier: [[44.142234, 47.065966, 49.619814, 57.868911, 126.451614], [36.713544, 38.525631, 39.434046, 46.590178, 87.392009], [57.530394, 59.257716, 66.062087, 72.542996, 137.771287], [11.563242, 12.046863, 13.124582, 13.710655, 142.251120], [6.726410, 6.801849, 7.244303, 7.345015, 109.089084], [47.799480, 50.318575, 51.130839, 58.213253, 146.513807], [16.427969, 16.530792, 17.223767, 18.995760, 203.887766]]
### 6
mean: [-2.216332, -2.233437, 0.376787, 2.244782, -2.896621, -1.843703, 2.273103]
std: [1.017252, 1.103554, 1.267492, 3.674103, 1.459910, 1.041968, 3.826461]
pca: [[0.046985, 0.484886, -0.222931, 0.692490, -0.335522, -0.001553, -0.347650, 0.000000, 0.000000, 0.000000], [-0.143235, 0.374921, -0.422902, -0.246946, 0.552492, 0.479669, -0.252507, 0.000000, 0.000000, 0.000000], [0.226635, 0.026770, 0.652951, 0.223156, 0.061256, 0.683392, 0.031597, 0.000000, 0.000000, 0.000000], [0.657912, 0.097263, -0.158749, -0.498230, -0.464554, 0.144111, -0.218355, 0.000000, 0.000000, 0.000000], [-0.101792, 0.663011, 0.526732, -0.309409, 0.078804, -0.396084, -0.117392, 0.000000, 0.000000, 0.000000], [-0.115906, 0.403172, -0.185466, -0.056946, -0.275780, 0.205372, 0.817402, 0.000000, 0.000000, 0.000000], [0.685032, 0.109601, -0.089804, 0.249934, 0.529480, -0.288204, 0.291163, 0.000000, 0.000000, 0.000000]]
fourier: [[14.193031, 14.734566, 14.815862, 15.316530, 199.469860], [17.443534, 19.641092, 21.431434, 22.329383, 201.009309], [18.313632, 21.619921, 24.665372, 28.516597, 33.910829], [55.712489, 64.468158, 69.537906, 83.896410, 202.030390], [23.483386, 25.034330, 25.275183, 28.101725, 260.695922], [16.950388, 19.330186, 19.891453, 20.015060, 165.933229], [57.995416, 67.218790, 72.476499, 87.254261, 204.579245]]
### 8
mean: [-2.749200]
std: [3.589004]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.895344, 60.156469, 66.818796, 84.027612, 247.428036]]
## 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: [1.997508, -2.683517, -1.415525, 1.655846, -0.607882, -3.130990, 0.903101]
std: [3.049278, 1.647073, 1.386640, 1.955131, 1.956723, 1.570737, 2.009274]
pca: [[0.718526, 0.216544, 0.019913, 0.398634, -0.286728, 0.423594, 0.126011, 0.000000, 0.000000, 0.000000], [-0.115542, 0.534067, -0.306906, 0.232454, -0.312713, -0.315585, -0.596501, 0.000000, 0.000000, 0.000000], [-0.051892, 0.455467, -0.287523, 0.257218, 0.369839, -0.312680, 0.637556, 0.000000, 0.000000, 0.000000], [0.469115, -0.056407, 0.064957, 0.055137, 0.735799, -0.193962, -0.436426, 0.000000, 0.000000, 0.000000], [-0.328878, 0.241177, 0.785651, 0.441485, 0.114496, 0.075251, -0.052380, 0.000000, 0.000000, 0.000000], [-0.257162, 0.387316, -0.227688, -0.228841, 0.339994, 0.737159, -0.143683, 0.000000, 0.000000, 0.000000], [-0.270768, -0.499069, -0.386567, 0.685986, 0.114504, 0.191099, -0.089297, 0.000000, 0.000000, 0.000000]]
fourier: [[47.090187, 48.358510, 49.135473, 58.443476, 179.775715], [28.129732, 29.138012, 30.549295, 33.742896, 241.516544], [23.744895, 24.583206, 27.015030, 27.675800, 127.397203], [29.532087, 31.208410, 35.224146, 35.246512, 149.026159], [29.958486, 30.250257, 35.048845, 42.053202, 54.709367], [26.243394, 26.960636, 27.000261, 29.457591, 281.789141], [32.960352, 35.095565, 41.968621, 45.766612, 81.279057]]
### 2
mean: [0.077585, -1.985213, -1.390935, 1.712246, 1.751449, -2.841930, 0.633774]
std: [0.395749, 1.254854, 2.307448, 1.980962, 2.991723, 1.308615, 2.633924]
pca: [[0.039742, 0.006865, 0.506358, -0.492753, -0.459604, -0.300619, 0.444480, 0.000000, 0.000000, 0.000000], [-0.208322, 0.380294, -0.008057, -0.236391, 0.033625, 0.801071, 0.336434, 0.000000, 0.000000, 0.000000], [-0.444255, 0.297166, 0.582822, 0.540439, 0.224929, -0.144787, 0.104965, 0.000000, 0.000000, 0.000000], [-0.334114, -0.570376, -0.293006, 0.151186, 0.147891, -0.055841, 0.655240, 0.000000, 0.000000, 0.000000], [0.602522, -0.026816, 0.077561, 0.591023, -0.375374, 0.239680, 0.287353, 0.000000, 0.000000, 0.000000], [-0.070374, 0.645599, -0.549145, 0.094280, -0.180638, -0.406175, 0.264937, 0.000000, 0.000000, 0.000000], [0.527296, 0.155489, 0.102114, -0.167886, 0.735957, -0.146310, 0.310047, 0.000000, 0.000000, 0.000000]]
fourier: [[6.451760, 6.761627, 6.982652, 7.565940, 9.265386], [19.709785, 20.238521, 21.516044, 21.851529, 178.669177], [35.019389, 35.816480, 40.556755, 41.096224, 125.184174], [34.134481, 36.454578, 38.485000, 44.033119, 154.102142], [50.381009, 52.141459, 52.717988, 61.631295, 157.630374], [20.169848, 20.587428, 20.827664, 22.602969, 255.773718], [43.735039, 46.190639, 47.524863, 55.819489, 57.039641]]
### 4
mean: [1.405018, 0.971022, 1.530792, -1.580568, -1.212101, -1.627931, -2.265419]
std: [2.633258, 2.127469, 3.606703, 0.812554, 0.423945, 2.997321, 1.006625]
pca: [[-0.445749, -0.426487, -0.096632, 0.225951, 0.740298, 0.048126, -0.093097, 0.000000, 0.000000, 0.000000], [-0.358681, -0.359665, -0.159316, -0.220621, -0.347670, 0.537455, 0.508136, 0.000000, 0.000000, 0.000000], [0.631538, -0.194050, 0.444483, -0.011500, 0.313314, 0.501605, 0.126626, 0.000000, 0.000000, 0.000000], [-0.071641, 0.409400, -0.257854, 0.508680, -0.078271, 0.621298, -0.331478, 0.000000, 0.000000, 0.000000], [-0.016518, 0.238294, 0.125900, 0.601346, 0.064230, -0.206709, 0.720154, 0.000000, 0.000000, 0.000000], [-0.517601, 0.290212, 0.779640, -0.123115, -0.025890, 0.113340, -0.106555, 0.000000, 0.000000, 0.000000], [-0.022353, 0.585217, -0.278456, -0.514403, 0.471165, 0.125031, 0.277928, 0.000000, 0.000000, 0.000000]]
fourier: [[44.142234, 47.065966, 49.619814, 57.868911, 126.451614], [36.713544, 38.525631, 39.434046, 46.590178, 87.392009], [57.530394, 59.257716, 66.062087, 72.542996, 137.771287], [11.563242, 12.046863, 13.124582, 13.710655, 142.251120], [6.726410, 6.801849, 7.244303, 7.345015, 109.089084], [47.799480, 50.318575, 51.130839, 58.213253, 146.513807], [16.427969, 16.530792, 17.223767, 18.995760, 203.887766]]
### 6
mean: [-2.216332, -2.233437, 0.376787, 2.244782, -2.896621, -1.843703, 2.273103]
std: [1.017252, 1.103554, 1.267492, 3.674103, 1.459910, 1.041968, 3.826461]
pca: [[0.046985, 0.484886, -0.222931, 0.692490, -0.335522, -0.001553, -0.347650, 0.000000, 0.000000, 0.000000], [-0.143235, 0.374921, -0.422902, -0.246946, 0.552492, 0.479669, -0.252507, 0.000000, 0.000000, 0.000000], [0.226635, 0.026770, 0.652951, 0.223156, 0.061256, 0.683392, 0.031597, 0.000000, 0.000000, 0.000000], [0.657912, 0.097263, -0.158749, -0.498230, -0.464554, 0.144111, -0.218355, 0.000000, 0.000000, 0.000000], [-0.101792, 0.663011, 0.526732, -0.309409, 0.078804, -0.396084, -0.117392, 0.000000, 0.000000, 0.000000], [-0.115906, 0.403172, -0.185466, -0.056946, -0.275780, 0.205372, 0.817402, 0.000000, 0.000000, 0.000000], [0.685032, 0.109601, -0.089804, 0.249934, 0.529480, -0.288204, 0.291163, 0.000000, 0.000000, 0.000000]]
fourier: [[14.193031, 14.734566, 14.815862, 15.316530, 199.469860], [17.443534, 19.641092, 21.431434, 22.329383, 201.009309], [18.313632, 21.619921, 24.665372, 28.516597, 33.910829], [55.712489, 64.468158, 69.537906, 83.896410, 202.030390], [23.483386, 25.034330, 25.275183, 28.101725, 260.695922], [16.950388, 19.330186, 19.891453, 20.015060, 165.933229], [57.995416, 67.218790, 72.476499, 87.254261, 204.579245]]
### 8
mean: [-2.749200]
std: [3.589004]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.895344, 60.156469, 66.818796, 84.027612, 247.428036]]
## 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": [[-1.160651, 0.207905, 0.342475, 0.783398, 0.603264], [-0.304584, -0.288423, -0.283378, -0.094596, -0.440869], [-0.344398, -0.260643, -0.099927, -0.027687, -0.397746], [-0.642959, 0.215374, 0.441897, 0.429258, 0.48825], [0.274002, 0.432878, -0.423597, -0.175991, -0.792476], [-0.077286, -0.163704, -0.234327, -0.434982, -0.419635], [1.043857, -0.684, 0.128619, 0.244905, -0.289713]], "network.0.bias": [-0.076346, -0.440369, 0.246674, -0.382255, 0.501976, -0.796681, 0.413935], "network.2.weight": [[0.233861, 0.012959, -0.341201, -0.198387, 0.413197, -0.020002, -0.095693], [-0.263826, -0.531445, -0.008742, -0.447312, -0.071928, -0.3344, -0.163227], [-0.416398, -0.057272, 0.32697, -0.5943, 0.619767, 0.362542, 0.16014], [-0.248196, 0.501878, 0.071101, 0.113789, 0.006042, 0.408172, 1.093372], [0.493602, 0.342638, -0.025261, 0.671789, -0.058068, 0.244539, -0.752839], [-0.399946, -0.00335, -0.000857, -0.262473, -0.6612, -0.484507, -0.600152], [0.500764, -0.430504, 0.26142, 0.332212, -0.118062, 0.032684, -0.840045]], "network.2.bias": [-0.198816, -0.265043, 0.221693, 0.709514, 0.286056, -0.285944, -0.089297], "network.4.weight": [[-0.119365, 0.023417, 0.57694, 0.851295, -0.166262, 0.501323, -0.338644], [0.11628, 0.060903, 0.364525, 0.727677, -0.069832, -0.353409, -0.36839], [0.517389, -0.430932, -0.143073, -0.540491, 0.658306, 0.038549, 0.758809], [-0.595809, 0.176564, -0.311647, -0.260687, -0.379904, -0.233813, -0.046466], [-0.327384, 0.180311, -0.033133, -0.226696, -0.33072, 0.00419, 0.187924], [0.186334, -0.035449, 0.754078, 0.120827, -0.861869, -0.195329, -0.357195], [-0.27899, 0.243544, -0.404878, -0.476169, -0.154633, 0.037671, -0.464818]], "network.4.bias": [0.560337, 0.203763, -0.139364, 0.051144, -0.243291, 0.310668, -0.205591], "network.6.weight": [[-0.206198, -0.107738, -0.452523, -0.008021, 0.136067, 0.02315, -0.221738], [-0.273161, -0.28883, -0.295536, -0.077416, -0.161649, -0.354278, -0.241961], [0.183401, 0.131629, -0.092983, 0.09197, 0.31666, 0.574156, -0.198101], [0.666531, 0.538935, -0.27207, 0.014655, -0.133803, 0.964757, 0.272133], [-0.362978, -0.537818, -0.573384, -0.052583, 0.096364, 0.035951, -0.114697], [-0.278333, -0.291784, -0.33078, -0.02323, 0.129152, -0.229017, -0.307504], [0.626547, 0.619332, -0.293292, 0.490458, -0.27161, 1.039821, -0.161715]], "network.6.bias": [-0.665759, -0.472543, -0.230453, 0.403525, -0.202019, -0.055306, 0.403568], "network.8.weight": [[0.277703, 0.006862, -0.058724, -0.321394, -0.162268, 0.099735, -0.714197]], "network.8.bias": [0.060753]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7052014768123627, "train_acc": 0.41, "val_loss": 0.7024533152580261, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6655761003494263, "train_acc": 0.58, "val_loss": 0.7060316205024719, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6202700436115265, "train_acc": 0.58, "val_loss": 0.6607708930969238, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6392292976379395, "train_acc": 0.52, "val_loss": 0.6073737740516663, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5941281020641327, "train_acc": 0.52, "val_loss": 0.5861630439758301, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5617567002773285, "train_acc": 0.67, "val_loss": 0.7118450999259949, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5987370014190674, "train_acc": 0.68, "val_loss": 0.5525900721549988, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5976487100124359, "train_acc": 0.64, "val_loss": 0.5699062943458557, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.6140954196453094, "train_acc": 0.61, "val_loss": 0.5678116679191589, "val_acc": 0.7}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.6138940751552582, "train_acc": 0.6, "val_loss": 0.5673425793647766, "val_acc": 0.7}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7024533152580261, "final_val_loss": 0.6607708930969238, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6073737740516663, "final_val_loss": 0.5673425793647766, "initial_val_acc": 0.42, "final_val_acc": 0.7, "best_val_acc": 0.74, "best_epoch": 4}, "improvement": 0.32, "first_improvement_epoch": 2}}
|
9,966
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "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": 9736, "learning_rate": 0.05278424327134218, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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}
## Activation Signature
### 0
mean: [0.048917, -0.243500, 1.119931, 1.799522, -0.596065, 1.706970, -2.083552, 0.276153]
std: [2.043826, 0.990554, 1.167254, 1.432909, 1.525001, 2.227189, 1.095793, 1.614400]
pca: [[0.701082, 0.031915, 0.240077, 0.462401, -0.054721, -0.151133, 0.070208, -0.453044, 0.000000, 0.000000], [-0.163033, -0.029323, -0.202492, 0.609508, 0.042895, 0.719315, 0.196741, 0.045782, 0.000000, 0.000000], [-0.024240, 0.342316, 0.184386, 0.417739, -0.359812, -0.178350, -0.468820, 0.540983, 0.000000, 0.000000], [-0.119075, 0.242152, 0.787759, -0.057878, 0.239047, 0.105685, 0.443437, 0.195756, 0.000000, 0.000000], [-0.382032, -0.359991, -0.017757, 0.320348, -0.374252, -0.489045, 0.492019, -0.014402, 0.000000, 0.000000], [-0.027765, 0.810190, -0.397923, -0.036616, -0.071643, -0.145797, 0.377831, -0.118290, 0.000000, 0.000000], [0.206844, -0.107946, -0.270007, 0.231906, 0.695126, -0.335734, 0.129223, 0.454162, 0.000000, 0.000000], [-0.526909, 0.157006, 0.123432, 0.281222, 0.424453, -0.208870, -0.372019, -0.491131, 0.000000, 0.000000]]
fourier: [[31.230237, 31.282585, 36.021323, 37.467042, 40.107100], [14.970678, 16.388059, 17.562998, 17.805384, 21.915030], [15.705293, 17.490747, 21.716980, 24.246709, 100.793797], [22.907744, 23.533652, 25.771958, 26.698372, 161.956933], [22.314166, 26.807149, 28.901415, 29.346509, 53.645883], [35.740154, 40.728774, 42.789984, 45.121224, 153.627319], [16.485512, 16.571981, 18.562691, 22.584338, 187.519731], [25.005174, 25.056489, 26.999423, 27.855234, 28.277065]]
### 2
mean: [-1.522254, -1.693978, 0.758798, -0.730169, -1.666663, 0.387994, 0.694752, 2.034288]
std: [1.589287, 0.725832, 1.995223, 1.048418, 0.753865, 1.483014, 1.565073, 2.338070]
pca: [[-0.087773, 0.682592, 0.429447, -0.020587, -0.267739, 0.327511, -0.402880, 0.015963, 0.000000, 0.000000], [-0.094816, 0.077674, 0.421613, 0.029234, -0.155355, -0.543762, 0.235370, -0.656622, 0.000000, 0.000000], [0.521713, -0.346819, 0.225240, 0.542158, -0.455179, -0.029747, -0.206178, 0.110824, 0.000000, 0.000000], [-0.176901, -0.168092, 0.461166, 0.431107, 0.709074, 0.152690, -0.124514, -0.017878, 0.000000, 0.000000], [-0.003734, 0.025683, 0.492688, -0.206147, -0.043623, -0.241627, 0.439496, 0.678708, 0.000000, 0.000000], [0.348080, -0.309141, 0.319182, -0.488304, 0.010272, 0.559977, 0.202189, -0.297311, 0.000000, 0.000000], [0.337471, 0.468879, -0.172017, 0.411112, 0.114960, 0.233845, 0.626993, -0.081515, 0.000000, 0.000000], [0.666908, 0.251836, -0.014202, -0.262647, 0.423064, -0.382385, -0.311639, 0.017534, 0.000000, 0.000000]]
fourier: [[23.476057, 25.117133, 25.327683, 26.150016, 137.002847], [12.094303, 12.878817, 14.007935, 15.120040, 152.458054], [31.705897, 33.250453, 40.976963, 43.001906, 68.291792], [15.153306, 15.563962, 16.740164, 20.542987, 65.715182], [12.424185, 13.825655, 15.061821, 15.301745, 149.999624], [23.355477, 25.188231, 25.483084, 28.917880, 34.919462], [24.644021, 25.629968, 30.239660, 33.566904, 62.527711], [38.056612, 45.231172, 46.462644, 50.851851, 183.085945]]
### 4
mean: [2.547705, -2.041213, 2.155931, 1.840207, 2.799874, 1.328123, -1.908800, 1.486939]
std: [3.229278, 1.788216, 2.887329, 2.607349, 3.335844, 1.793159, 1.591176, 2.137146]
pca: [[0.460093, -0.028721, -0.263247, -0.367182, -0.509023, -0.025755, -0.548322, -0.151471, 0.000000, 0.000000], [-0.248491, -0.320784, 0.553623, -0.471964, -0.335669, -0.397785, 0.187541, 0.004729, 0.000000, 0.000000], [0.411671, -0.061149, 0.025411, 0.274514, -0.423457, 0.156709, 0.640484, -0.369717, 0.000000, 0.000000], [0.358848, 0.740747, 0.455682, -0.280427, 0.144709, 0.057940, 0.071419, 0.082697, 0.000000, 0.000000], [0.473730, -0.343521, 0.218351, 0.110233, 0.544934, -0.380864, -0.150345, -0.364871, 0.000000, 0.000000], [0.254889, 0.068275, -0.009071, 0.438925, -0.233463, -0.547074, -0.007976, 0.619495, 0.000000, 0.000000], [-0.222871, 0.114588, 0.511400, 0.532157, -0.272742, 0.132424, -0.469910, -0.282377, 0.000000, 0.000000], [0.298767, -0.456103, 0.326528, -0.020803, 0.046032, 0.592710, -0.073267, 0.486685, 0.000000, 0.000000]]
fourier: [[50.651059, 58.093236, 63.154274, 71.105688, 229.293474], [28.033279, 28.434435, 34.620594, 39.342454, 183.709174], [46.683212, 52.098621, 54.487585, 64.090376, 194.033747], [38.425761, 45.867103, 50.837546, 53.745218, 165.618649], [54.236049, 62.188941, 62.869250, 74.183346, 251.988644], [28.922537, 31.294702, 33.748816, 39.872402, 119.531096], [25.701728, 29.414248, 31.615603, 35.184731, 171.792015], [35.421689, 37.776318, 41.884966, 47.158412, 133.824531]]
### 6
mean: [-4.109884, -1.058731, -1.822217, 2.634332, 3.531921, 3.424205, 3.982101, 4.959413]
std: [4.480152, 1.005720, 1.773294, 3.575794, 4.615023, 4.644811, 5.244148, 6.461342]
pca: [[-0.366977, -0.243274, 0.041908, 0.731687, -0.384198, -0.201427, 0.065059, 0.276784, 0.000000, 0.000000], [-0.081896, -0.248522, -0.095660, 0.394136, 0.538777, 0.671521, 0.083205, -0.137444, 0.000000, 0.000000], [-0.144954, 0.244470, -0.418063, 0.204985, 0.558857, -0.598154, 0.110856, -0.141523, 0.000000, 0.000000], [0.292818, -0.132779, 0.772131, 0.211781, 0.219858, -0.286705, 0.112707, -0.335186, 0.000000, 0.000000], [0.377513, 0.657210, 0.098110, 0.264890, 0.020451, 0.178510, 0.346267, 0.439979, 0.000000, 0.000000], [0.380377, -0.363338, -0.343621, -0.034840, -0.239014, -0.055232, 0.707187, -0.209087, 0.000000, 0.000000], [0.429408, -0.474801, -0.071981, -0.051652, 0.297332, -0.182239, -0.238261, 0.635561, 0.000000, 0.000000], [0.529408, 0.110825, -0.291971, 0.385191, -0.235584, 0.019260, -0.535789, -0.361780, 0.000000, 0.000000]]
fourier: [[71.540047, 81.169959, 85.991259, 98.223073, 369.889551], [16.631858, 18.519172, 18.913176, 22.711479, 95.285773], [27.646310, 30.357098, 34.760834, 38.397425, 163.999511], [56.570929, 63.020143, 69.097377, 78.084270, 237.089847], [75.031487, 85.056397, 86.434973, 102.404942, 317.872861], [72.907773, 81.241808, 90.521075, 100.064409, 308.178422], [82.030352, 91.467269, 102.534842, 112.839596, 358.389109], [103.139447, 115.692675, 123.762715, 141.103056, 446.347200]]
### 8
mean: [-5.614069]
std: [8.387735]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[132.378514, 147.430090, 161.718114, 181.220663, 505.266151]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.107346,
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0.604193,
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],
[
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0.415797
],
[
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0.178691
],
[
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0.210906,
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],
[
-0.483092,
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],
[
0.957159,
-0.533671,
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0.759582,
0.104722
],
[
0.155101,
-0.231054,
-0.396169,
-0.046066,
-0.276185
],
[
0.369192,
0.371904,
-0.123804,
-0.452577,
0.524101
]
],
"network.0.bias": [
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0.133877,
-0.24819,
0.440854,
-0.159437,
-0.297544,
-0.588568,
-0.27823
],
"network.2.weight": [
[
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-0.318608,
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],
[
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-0.453706,
-0.203272,
-0.356643,
-0.179162,
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0.11468,
0.152459
],
[
-0.001736,
-0.537658,
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],
[
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-0.728148,
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0.09079,
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],
[
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-0.519092,
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0.023715,
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0.1229,
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],
[
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-0.330745,
0.110413,
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0.759909,
0.005779,
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],
[
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[
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-0.238591,
0.888504,
0.865989,
0.095867,
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]
],
"network.2.bias": [
-0.15913,
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],
"network.4.weight": [
[
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[
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[
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0.0007,
-0.234173,
-0.089728,
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],
[
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0.085403,
0.373557,
-0.319219,
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0.794688,
0.212553
]
],
"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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],
[
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],
[
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]
],
"network.6.bias": [
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],
"network.8.weight": [
[
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-0.04857,
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-0.530158,
-0.539786
]
],
"network.8.bias": [
1.112305
]
}
## Activation Signature
### 0
mean: [0.048917, -0.243500, 1.119931, 1.799522, -0.596065, 1.706970, -2.083552, 0.276153]
std: [2.043826, 0.990554, 1.167254, 1.432909, 1.525001, 2.227189, 1.095793, 1.614400]
pca: [[0.701082, 0.031915, 0.240077, 0.462401, -0.054721, -0.151133, 0.070208, -0.453044, 0.000000, 0.000000], [-0.163033, -0.029323, -0.202492, 0.609508, 0.042895, 0.719315, 0.196741, 0.045782, 0.000000, 0.000000], [-0.024240, 0.342316, 0.184386, 0.417739, -0.359812, -0.178350, -0.468820, 0.540983, 0.000000, 0.000000], [-0.119075, 0.242152, 0.787759, -0.057878, 0.239047, 0.105685, 0.443437, 0.195756, 0.000000, 0.000000], [-0.382032, -0.359991, -0.017757, 0.320348, -0.374252, -0.489045, 0.492019, -0.014402, 0.000000, 0.000000], [-0.027765, 0.810190, -0.397923, -0.036616, -0.071643, -0.145797, 0.377831, -0.118290, 0.000000, 0.000000], [0.206844, -0.107946, -0.270007, 0.231906, 0.695126, -0.335734, 0.129223, 0.454162, 0.000000, 0.000000], [-0.526909, 0.157006, 0.123432, 0.281222, 0.424453, -0.208870, -0.372019, -0.491131, 0.000000, 0.000000]]
fourier: [[31.230237, 31.282585, 36.021323, 37.467042, 40.107100], [14.970678, 16.388059, 17.562998, 17.805384, 21.915030], [15.705293, 17.490747, 21.716980, 24.246709, 100.793797], [22.907744, 23.533652, 25.771958, 26.698372, 161.956933], [22.314166, 26.807149, 28.901415, 29.346509, 53.645883], [35.740154, 40.728774, 42.789984, 45.121224, 153.627319], [16.485512, 16.571981, 18.562691, 22.584338, 187.519731], [25.005174, 25.056489, 26.999423, 27.855234, 28.277065]]
### 2
mean: [-1.522254, -1.693978, 0.758798, -0.730169, -1.666663, 0.387994, 0.694752, 2.034288]
std: [1.589287, 0.725832, 1.995223, 1.048418, 0.753865, 1.483014, 1.565073, 2.338070]
pca: [[-0.087773, 0.682592, 0.429447, -0.020587, -0.267739, 0.327511, -0.402880, 0.015963, 0.000000, 0.000000], [-0.094816, 0.077674, 0.421613, 0.029234, -0.155355, -0.543762, 0.235370, -0.656622, 0.000000, 0.000000], [0.521713, -0.346819, 0.225240, 0.542158, -0.455179, -0.029747, -0.206178, 0.110824, 0.000000, 0.000000], [-0.176901, -0.168092, 0.461166, 0.431107, 0.709074, 0.152690, -0.124514, -0.017878, 0.000000, 0.000000], [-0.003734, 0.025683, 0.492688, -0.206147, -0.043623, -0.241627, 0.439496, 0.678708, 0.000000, 0.000000], [0.348080, -0.309141, 0.319182, -0.488304, 0.010272, 0.559977, 0.202189, -0.297311, 0.000000, 0.000000], [0.337471, 0.468879, -0.172017, 0.411112, 0.114960, 0.233845, 0.626993, -0.081515, 0.000000, 0.000000], [0.666908, 0.251836, -0.014202, -0.262647, 0.423064, -0.382385, -0.311639, 0.017534, 0.000000, 0.000000]]
fourier: [[23.476057, 25.117133, 25.327683, 26.150016, 137.002847], [12.094303, 12.878817, 14.007935, 15.120040, 152.458054], [31.705897, 33.250453, 40.976963, 43.001906, 68.291792], [15.153306, 15.563962, 16.740164, 20.542987, 65.715182], [12.424185, 13.825655, 15.061821, 15.301745, 149.999624], [23.355477, 25.188231, 25.483084, 28.917880, 34.919462], [24.644021, 25.629968, 30.239660, 33.566904, 62.527711], [38.056612, 45.231172, 46.462644, 50.851851, 183.085945]]
### 4
mean: [2.547705, -2.041213, 2.155931, 1.840207, 2.799874, 1.328123, -1.908800, 1.486939]
std: [3.229278, 1.788216, 2.887329, 2.607349, 3.335844, 1.793159, 1.591176, 2.137146]
pca: [[0.460093, -0.028721, -0.263247, -0.367182, -0.509023, -0.025755, -0.548322, -0.151471, 0.000000, 0.000000], [-0.248491, -0.320784, 0.553623, -0.471964, -0.335669, -0.397785, 0.187541, 0.004729, 0.000000, 0.000000], [0.411671, -0.061149, 0.025411, 0.274514, -0.423457, 0.156709, 0.640484, -0.369717, 0.000000, 0.000000], [0.358848, 0.740747, 0.455682, -0.280427, 0.144709, 0.057940, 0.071419, 0.082697, 0.000000, 0.000000], [0.473730, -0.343521, 0.218351, 0.110233, 0.544934, -0.380864, -0.150345, -0.364871, 0.000000, 0.000000], [0.254889, 0.068275, -0.009071, 0.438925, -0.233463, -0.547074, -0.007976, 0.619495, 0.000000, 0.000000], [-0.222871, 0.114588, 0.511400, 0.532157, -0.272742, 0.132424, -0.469910, -0.282377, 0.000000, 0.000000], [0.298767, -0.456103, 0.326528, -0.020803, 0.046032, 0.592710, -0.073267, 0.486685, 0.000000, 0.000000]]
fourier: [[50.651059, 58.093236, 63.154274, 71.105688, 229.293474], [28.033279, 28.434435, 34.620594, 39.342454, 183.709174], [46.683212, 52.098621, 54.487585, 64.090376, 194.033747], [38.425761, 45.867103, 50.837546, 53.745218, 165.618649], [54.236049, 62.188941, 62.869250, 74.183346, 251.988644], [28.922537, 31.294702, 33.748816, 39.872402, 119.531096], [25.701728, 29.414248, 31.615603, 35.184731, 171.792015], [35.421689, 37.776318, 41.884966, 47.158412, 133.824531]]
### 6
mean: [-4.109884, -1.058731, -1.822217, 2.634332, 3.531921, 3.424205, 3.982101, 4.959413]
std: [4.480152, 1.005720, 1.773294, 3.575794, 4.615023, 4.644811, 5.244148, 6.461342]
pca: [[-0.366977, -0.243274, 0.041908, 0.731687, -0.384198, -0.201427, 0.065059, 0.276784, 0.000000, 0.000000], [-0.081896, -0.248522, -0.095660, 0.394136, 0.538777, 0.671521, 0.083205, -0.137444, 0.000000, 0.000000], [-0.144954, 0.244470, -0.418063, 0.204985, 0.558857, -0.598154, 0.110856, -0.141523, 0.000000, 0.000000], [0.292818, -0.132779, 0.772131, 0.211781, 0.219858, -0.286705, 0.112707, -0.335186, 0.000000, 0.000000], [0.377513, 0.657210, 0.098110, 0.264890, 0.020451, 0.178510, 0.346267, 0.439979, 0.000000, 0.000000], [0.380377, -0.363338, -0.343621, -0.034840, -0.239014, -0.055232, 0.707187, -0.209087, 0.000000, 0.000000], [0.429408, -0.474801, -0.071981, -0.051652, 0.297332, -0.182239, -0.238261, 0.635561, 0.000000, 0.000000], [0.529408, 0.110825, -0.291971, 0.385191, -0.235584, 0.019260, -0.535789, -0.361780, 0.000000, 0.000000]]
fourier: [[71.540047, 81.169959, 85.991259, 98.223073, 369.889551], [16.631858, 18.519172, 18.913176, 22.711479, 95.285773], [27.646310, 30.357098, 34.760834, 38.397425, 163.999511], [56.570929, 63.020143, 69.097377, 78.084270, 237.089847], [75.031487, 85.056397, 86.434973, 102.404942, 317.872861], [72.907773, 81.241808, 90.521075, 100.064409, 308.178422], [82.030352, 91.467269, 102.534842, 112.839596, 358.389109], [103.139447, 115.692675, 123.762715, 141.103056, 446.347200]]
### 8
mean: [-5.614069]
std: [8.387735]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[132.378514, 147.430090, 161.718114, 181.220663, 505.266151]]
## 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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"fourier": [103.13944730165976, 115.69267528540715, 123.76271519778822, 141.10305616626079, 446.34720009565353]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -5.614068508148193, "std": 8.387735366821289, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [132.3785141117024, 147.4300901029284, 161.71811403505905, 181.2206628428611, 505.26615077257156]}}, "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": [[-0.107346, 0.063494, -0.391673, 0.604193, -0.718507], [0.046387, 0.161607, -0.435743, -0.154905, 0.415797], [0.227326, 0.257764, -0.146999, 0.327451, 0.178691], [0.221757, 0.573377, 0.210906, -0.080677, -0.186217], [-0.483092, 0.406866, -0.099806, -0.552945, 0.662754], [0.957159, -0.533671, 0.013315, 0.759582, 0.104722], [0.155101, -0.231054, -0.396169, -0.046066, -0.276185], [0.369192, 0.371904, -0.123804, -0.452577, 0.524101]], "network.0.bias": [0.475465, 0.133877, -0.24819, 0.440854, -0.159437, -0.297544, -0.588568, -0.27823], "network.2.weight": [[-0.567505, -0.129873, -0.370329, -0.318608, 0.420762, -0.311648, 0.317322, 0.784021], [-0.284051, -0.453706, -0.203272, -0.356643, -0.179162, -0.079844, 0.11468, 0.152459], [-0.001736, -0.537658, -0.146298, -0.22239, -0.348051, 0.933829, 0.501659, 0.340497], [-0.208421, -0.728148, -0.600738, -0.039672, -0.303207, 0.09079, -0.319997, -0.340556], [-0.301459, -0.519092, -0.131604, -0.517235, 0.023715, 0.114865, 0.1229, 0.08324], [-0.013003, -0.330745, 0.110413, -0.552249, 0.258365, 0.759909, 0.005779, -0.140451], [-0.332209, -0.006294, 0.075042, 0.17321, 0.565129, 0.202918, 0.291978, 0.768854], [-0.41863, 0.237715, 0.353367, -0.238591, 0.888504, 0.865989, 0.095867, 0.467095]], "network.2.bias": [-0.15913, -0.365144, -0.458619, 0.60406, -0.484337, -0.069672, -0.609114, 0.024533], "network.4.weight": [[0.389932, 0.171754, 0.590045, -0.643074, -0.042954, 0.475315, 0.585035, 0.577198], [-0.774492, 0.045739, -0.55828, -0.400769, -0.194029, -0.512646, -0.149456, -0.151347], [0.823453, 0.031751, 0.805269, -0.356806, 0.398894, 0.411878, 0.712448, 0.233956], [-0.481817, 0.02463, 0.961947, -0.354564, 0.393855, 0.496044, 0.594819, 0.030505], [0.807583, 0.278749, 0.809333, -0.133232, 0.399935, 0.247903, 0.872932, 0.419027], [0.732422, 0.08305, 0.685564, -0.08124, -0.230504, 0.191747, 0.338864, 0.09369], [-0.059827, -0.52063, 0.003609, 0.144154, 0.0007, -0.234173, -0.089728, -0.579216], [0.474688, 0.085403, 0.373557, -0.319219, -0.092073, 0.18736, 0.794688, 0.212553]], "network.4.bias": [-0.318738, -0.365957, -0.386907, -0.260822, -0.186258, -0.254689, -0.411741, -0.351653], "network.6.weight": [[-0.51629, -0.273879, 0.069154, -0.225227, -0.540024, -0.256971, -0.0063, -0.16197], [0.065096, 0.093859, -0.330833, 0.08655, -0.455712, 0.174404, -0.283315, 0.348865], [-0.167648, 0.031767, -0.1357, -0.149662, -0.195443, -0.179605, -0.150827, 0.218951], [0.601644, 0.143666, 0.560785, 0.159544, -0.266882, 0.203484, 0.515368, 0.151414], [0.506847, 0.081916, 0.339681, -0.031891, 0.169133, 0.49473, -0.087074, 0.393277], [0.169821, -0.124441, 0.269125, 0.568977, 0.437846, 0.133025, 0.581783, 0.168784], [0.443209, -0.064482, 0.314499, 0.627142, 0.190508, 0.143511, -0.083507, 0.307949], [0.38497, -0.252719, 0.521645, 0.439381, 0.371215, 0.397602, -0.045522, 0.439048]], "network.6.bias": [-0.27247, -0.149273, -0.308966, -0.353187, -0.368276, -0.474057, -0.401535, -0.465556], "network.8.weight": [[-0.062061, -0.153517, -0.294183, -0.036601, -0.04857, -0.420893, -0.530158, -0.539786]], "network.8.bias": [1.112305]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7225683927536011, "train_acc": 0.57, "val_loss": 0.6748025417327881, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6584593057632446, "train_acc": 0.57, "val_loss": 0.6633357405662537, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6402449607849121, "train_acc": 0.57, "val_loss": 0.5902155041694641, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5094531029462814, "train_acc": 0.59, "val_loss": 0.43848296999931335, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.39997173845767975, "train_acc": 0.89, "val_loss": 0.4139808714389801, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.37990766763687134, "train_acc": 0.89, "val_loss": 0.38818109035491943, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3803851157426834, "train_acc": 0.905, "val_loss": 0.39577430486679077, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.37632955610752106, "train_acc": 0.88, "val_loss": 0.41466572880744934, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3469501882791519, "train_acc": 0.88, "val_loss": 0.368962824344635, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32188354432582855, "train_acc": 0.905, "val_loss": 0.3425593972206116, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.29543331265449524, "train_acc": 0.905, "val_loss": 0.32851505279541016, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.29770390689373016, "train_acc": 0.915, "val_loss": 0.32756680250167847, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2886115312576294, "train_acc": 0.915, "val_loss": 0.293023943901062, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6748025417327881, "final_val_loss": 0.5902155041694641, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.43848296999931335, "final_val_loss": 0.293023943901062, "initial_val_acc": 0.88, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
9,967
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9528, "learning_rate": 0.08682219033941084, "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: 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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"network.0.bias": [
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"network.2.weight": [
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"network.4.weight": [
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"network.6.weight": [
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"network.8.weight": [
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]
}
## Activation Signature
### 0
mean: [-0.104137, 0.631113, -3.305983, 1.859667, 3.431642, 1.756198, -2.401585, -2.182112]
std: [1.732211, 1.368141, 3.451219, 2.429393, 2.511212, 2.473491, 2.413761, 1.802276]
pca: [[-0.185925, 0.087994, 0.853727, -0.118106, -0.278518, 0.255022, 0.242157, -0.116797, 0.000000, 0.000000], [-0.174912, 0.302025, 0.249529, 0.016159, 0.813582, -0.032091, 0.041102, 0.388620, 0.000000, 0.000000], [0.569397, 0.252582, -0.121238, -0.260334, -0.139713, 0.067840, 0.598647, 0.383427, 0.000000, 0.000000], [-0.347641, -0.498321, -0.051160, -0.582059, -0.106019, 0.021621, -0.083071, 0.520389, 0.000000, 0.000000], [-0.409289, -0.102394, -0.364350, 0.078408, 0.166455, 0.584381, 0.511641, -0.228285, 0.000000, 0.000000], [-0.346247, 0.558370, -0.172328, 0.255868, -0.423930, 0.211629, -0.234634, 0.440016, 0.000000, 0.000000], [0.404378, 0.013108, 0.028887, -0.213917, 0.147264, 0.717132, -0.502600, -0.033761, 0.000000, 0.000000], [0.197092, -0.516221, 0.168187, 0.679593, -0.025312, 0.168221, 0.070388, 0.413090, 0.000000, 0.000000]]
fourier: [[27.424619, 29.302785, 29.364016, 29.424624, 29.687841], [21.385684, 21.668811, 24.225271, 29.784715, 56.800181], [56.669066, 57.112811, 61.389512, 65.357019, 297.538512], [41.423370, 41.645067, 46.719154, 49.337135, 167.370056], [41.562254, 42.233172, 42.690905, 47.534451, 308.847742], [35.682405, 41.129185, 44.896427, 48.067638, 158.057812], [40.112860, 41.966506, 41.988746, 42.321536, 216.142662], [30.032079, 30.864803, 32.741826, 38.727870, 196.390091]]
### 2
mean: [-1.277324, -3.396081, -2.518340, -1.461177, 4.208871, -4.256558, 2.866824, -1.618997]
std: [1.410028, 3.325135, 2.370648, 2.873931, 4.307873, 3.655147, 3.429977, 2.637552]
pca: [[-0.143996, -0.529737, -0.363299, -0.212499, -0.507051, 0.215589, 0.450745, 0.121455, 0.000000, 0.000000], [-0.378451, -0.346409, -0.207194, 0.601447, 0.300627, 0.283323, -0.285098, 0.283159, 0.000000, 0.000000], [-0.268749, -0.295607, -0.255329, -0.243062, 0.546941, -0.255289, 0.139081, -0.576592, 0.000000, 0.000000], [-0.319053, 0.605771, -0.405170, 0.132310, -0.205257, 0.386954, 0.036398, -0.395460, 0.000000, 0.000000], [0.493395, 0.098073, -0.437653, 0.510647, 0.090339, -0.336806, 0.414664, 0.033126, 0.000000, 0.000000], [-0.417769, 0.047760, 0.577476, 0.358303, -0.047139, -0.110723, 0.581723, -0.091899, 0.000000, 0.000000], [0.393571, -0.034362, 0.174367, -0.081553, 0.417365, 0.723680, 0.325534, -0.054650, 0.000000, 0.000000], [-0.298581, 0.363260, -0.200765, -0.347460, 0.355910, -0.094514, 0.280284, 0.635368, 0.000000, 0.000000]]
fourier: [[22.236842, 23.983562, 27.536847, 28.779579, 114.959151], [57.979717, 58.813181, 58.924398, 62.134007, 305.647319], [39.772129, 41.957288, 43.082660, 43.223772, 226.650586], [47.651144, 48.616253, 50.082310, 58.175716, 131.505972], [71.966255, 73.190490, 76.487936, 79.462391, 378.798342], [63.193553, 63.329869, 65.423898, 68.638365, 383.090267], [57.495435, 58.453325, 62.130580, 64.360779, 258.014121], [43.926509, 44.729948, 46.371259, 52.152895, 145.709758]]
### 4
mean: [-0.245178, -1.636240, 0.315594, 4.766290, -0.589500, 3.359898, 1.639977, -5.291400]
std: [0.322003, 1.175314, 0.711451, 6.014849, 1.811839, 4.190911, 2.771122, 5.152179]
pca: [[0.031641, 0.126879, -0.235946, 0.582977, 0.580713, 0.014750, -0.146095, 0.478099, 0.000000, 0.000000], [-0.120826, 0.242893, -0.237950, 0.517123, -0.439585, 0.478898, 0.390138, -0.166081, 0.000000, 0.000000], [-0.066413, -0.506194, -0.106940, -0.183400, 0.519398, 0.506736, 0.335924, -0.234274, 0.000000, 0.000000], [0.624181, 0.143684, 0.225963, -0.099278, -0.060197, 0.601089, -0.395423, 0.086872, 0.000000, 0.000000], [-0.184964, -0.518804, 0.556900, 0.227774, -0.267347, 0.102977, 0.086557, 0.495017, 0.000000, 0.000000], [0.434799, 0.137391, 0.526065, 0.297597, 0.238789, -0.271518, 0.443979, -0.314492, 0.000000, 0.000000], [0.287332, 0.179859, -0.202656, -0.397040, -0.062877, -0.030923, 0.591798, 0.575540, 0.000000, 0.000000], [-0.533447, 0.572402, 0.444142, -0.226153, 0.252373, 0.258975, 0.049092, 0.078823, 0.000000, 0.000000]]
fourier: [[5.387761, 5.530335, 5.623014, 6.177912, 22.066052], [19.548717, 19.577300, 20.658607, 21.280231, 147.261579], [11.593696, 11.627075, 12.704824, 13.152443, 28.403484], [102.188687, 102.563114, 108.260633, 108.487099, 428.966157], [31.397146, 31.618441, 32.838846, 34.603999, 53.055002], [71.158775, 71.215573, 74.782292, 75.752336, 302.390817], [47.296576, 47.442460, 50.176595, 51.197632, 147.597970], [87.144543, 88.147340, 89.668104, 90.206467, 476.225972]]
### 6
mean: [7.226004, 8.216782, 4.389911, 7.676673, -4.829875, -4.709692, -1.821995, 0.350300]
std: [9.531305, 10.923384, 6.294460, 10.074031, 8.160955, 4.800362, 2.388366, 1.398892]
pca: [[0.450089, 0.292484, -0.150020, -0.150666, -0.352611, 0.579954, 0.093148, -0.444194, 0.000000, 0.000000], [0.515872, -0.130544, -0.313470, -0.216448, 0.674269, 0.116041, -0.269680, 0.175754, 0.000000, 0.000000], [0.297111, -0.431293, 0.136469, 0.476650, 0.228699, -0.075367, 0.542751, -0.356833, 0.000000, 0.000000], [0.475699, 0.363997, -0.016362, 0.125239, -0.222755, -0.257416, 0.378781, 0.604902, 0.000000, 0.000000], [-0.385220, 0.550702, -0.262930, -0.044634, 0.478340, 0.060295, 0.478852, -0.124357, 0.000000, 0.000000], [-0.226439, -0.490388, -0.201538, -0.275310, -0.126192, 0.474727, 0.420108, 0.417194, 0.000000, 0.000000], [-0.112745, 0.143457, 0.065912, 0.716658, 0.106324, 0.541066, -0.253331, 0.283781, 0.000000, 0.000000], [0.065959, 0.120714, 0.863855, -0.310133, 0.251129, 0.237679, 0.102838, 0.092294, 0.000000, 0.000000]]
fourier: [[159.472939, 162.982195, 167.724711, 169.327985, 650.340387], [183.639873, 187.932485, 193.429015, 193.736845, 739.510294], [106.290428, 108.951792, 111.561239, 112.548672, 395.091971], [168.636781, 172.115626, 177.158771, 179.165001, 690.900553], [137.728285, 141.097906, 144.624924, 145.838646, 434.688781], [80.892870, 81.039212, 83.494522, 85.683017, 423.872310], [40.498849, 41.251652, 42.237912, 42.715673, 163.979522], [23.118269, 24.009070, 24.536368, 25.288671, 31.526960]]
### 8
mean: [-20.838438]
std: [27.250879]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[454.689432, 458.981658, 474.965470, 489.348231, 1875.459479]]
## 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: 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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-0.566533,
0.25315
]
],
"network.0.bias": [
0.157101,
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0.564855,
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],
"network.2.weight": [
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[
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[
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],
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],
[
-0.025577,
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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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0.340414,
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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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1.028372,
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[
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[
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[
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[
0.069272,
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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: [-0.104137, 0.631113, -3.305983, 1.859667, 3.431642, 1.756198, -2.401585, -2.182112]
std: [1.732211, 1.368141, 3.451219, 2.429393, 2.511212, 2.473491, 2.413761, 1.802276]
pca: [[-0.185925, 0.087994, 0.853727, -0.118106, -0.278518, 0.255022, 0.242157, -0.116797, 0.000000, 0.000000], [-0.174912, 0.302025, 0.249529, 0.016159, 0.813582, -0.032091, 0.041102, 0.388620, 0.000000, 0.000000], [0.569397, 0.252582, -0.121238, -0.260334, -0.139713, 0.067840, 0.598647, 0.383427, 0.000000, 0.000000], [-0.347641, -0.498321, -0.051160, -0.582059, -0.106019, 0.021621, -0.083071, 0.520389, 0.000000, 0.000000], [-0.409289, -0.102394, -0.364350, 0.078408, 0.166455, 0.584381, 0.511641, -0.228285, 0.000000, 0.000000], [-0.346247, 0.558370, -0.172328, 0.255868, -0.423930, 0.211629, -0.234634, 0.440016, 0.000000, 0.000000], [0.404378, 0.013108, 0.028887, -0.213917, 0.147264, 0.717132, -0.502600, -0.033761, 0.000000, 0.000000], [0.197092, -0.516221, 0.168187, 0.679593, -0.025312, 0.168221, 0.070388, 0.413090, 0.000000, 0.000000]]
fourier: [[27.424619, 29.302785, 29.364016, 29.424624, 29.687841], [21.385684, 21.668811, 24.225271, 29.784715, 56.800181], [56.669066, 57.112811, 61.389512, 65.357019, 297.538512], [41.423370, 41.645067, 46.719154, 49.337135, 167.370056], [41.562254, 42.233172, 42.690905, 47.534451, 308.847742], [35.682405, 41.129185, 44.896427, 48.067638, 158.057812], [40.112860, 41.966506, 41.988746, 42.321536, 216.142662], [30.032079, 30.864803, 32.741826, 38.727870, 196.390091]]
### 2
mean: [-1.277324, -3.396081, -2.518340, -1.461177, 4.208871, -4.256558, 2.866824, -1.618997]
std: [1.410028, 3.325135, 2.370648, 2.873931, 4.307873, 3.655147, 3.429977, 2.637552]
pca: [[-0.143996, -0.529737, -0.363299, -0.212499, -0.507051, 0.215589, 0.450745, 0.121455, 0.000000, 0.000000], [-0.378451, -0.346409, -0.207194, 0.601447, 0.300627, 0.283323, -0.285098, 0.283159, 0.000000, 0.000000], [-0.268749, -0.295607, -0.255329, -0.243062, 0.546941, -0.255289, 0.139081, -0.576592, 0.000000, 0.000000], [-0.319053, 0.605771, -0.405170, 0.132310, -0.205257, 0.386954, 0.036398, -0.395460, 0.000000, 0.000000], [0.493395, 0.098073, -0.437653, 0.510647, 0.090339, -0.336806, 0.414664, 0.033126, 0.000000, 0.000000], [-0.417769, 0.047760, 0.577476, 0.358303, -0.047139, -0.110723, 0.581723, -0.091899, 0.000000, 0.000000], [0.393571, -0.034362, 0.174367, -0.081553, 0.417365, 0.723680, 0.325534, -0.054650, 0.000000, 0.000000], [-0.298581, 0.363260, -0.200765, -0.347460, 0.355910, -0.094514, 0.280284, 0.635368, 0.000000, 0.000000]]
fourier: [[22.236842, 23.983562, 27.536847, 28.779579, 114.959151], [57.979717, 58.813181, 58.924398, 62.134007, 305.647319], [39.772129, 41.957288, 43.082660, 43.223772, 226.650586], [47.651144, 48.616253, 50.082310, 58.175716, 131.505972], [71.966255, 73.190490, 76.487936, 79.462391, 378.798342], [63.193553, 63.329869, 65.423898, 68.638365, 383.090267], [57.495435, 58.453325, 62.130580, 64.360779, 258.014121], [43.926509, 44.729948, 46.371259, 52.152895, 145.709758]]
### 4
mean: [-0.245178, -1.636240, 0.315594, 4.766290, -0.589500, 3.359898, 1.639977, -5.291400]
std: [0.322003, 1.175314, 0.711451, 6.014849, 1.811839, 4.190911, 2.771122, 5.152179]
pca: [[0.031641, 0.126879, -0.235946, 0.582977, 0.580713, 0.014750, -0.146095, 0.478099, 0.000000, 0.000000], [-0.120826, 0.242893, -0.237950, 0.517123, -0.439585, 0.478898, 0.390138, -0.166081, 0.000000, 0.000000], [-0.066413, -0.506194, -0.106940, -0.183400, 0.519398, 0.506736, 0.335924, -0.234274, 0.000000, 0.000000], [0.624181, 0.143684, 0.225963, -0.099278, -0.060197, 0.601089, -0.395423, 0.086872, 0.000000, 0.000000], [-0.184964, -0.518804, 0.556900, 0.227774, -0.267347, 0.102977, 0.086557, 0.495017, 0.000000, 0.000000], [0.434799, 0.137391, 0.526065, 0.297597, 0.238789, -0.271518, 0.443979, -0.314492, 0.000000, 0.000000], [0.287332, 0.179859, -0.202656, -0.397040, -0.062877, -0.030923, 0.591798, 0.575540, 0.000000, 0.000000], [-0.533447, 0.572402, 0.444142, -0.226153, 0.252373, 0.258975, 0.049092, 0.078823, 0.000000, 0.000000]]
fourier: [[5.387761, 5.530335, 5.623014, 6.177912, 22.066052], [19.548717, 19.577300, 20.658607, 21.280231, 147.261579], [11.593696, 11.627075, 12.704824, 13.152443, 28.403484], [102.188687, 102.563114, 108.260633, 108.487099, 428.966157], [31.397146, 31.618441, 32.838846, 34.603999, 53.055002], [71.158775, 71.215573, 74.782292, 75.752336, 302.390817], [47.296576, 47.442460, 50.176595, 51.197632, 147.597970], [87.144543, 88.147340, 89.668104, 90.206467, 476.225972]]
### 6
mean: [7.226004, 8.216782, 4.389911, 7.676673, -4.829875, -4.709692, -1.821995, 0.350300]
std: [9.531305, 10.923384, 6.294460, 10.074031, 8.160955, 4.800362, 2.388366, 1.398892]
pca: [[0.450089, 0.292484, -0.150020, -0.150666, -0.352611, 0.579954, 0.093148, -0.444194, 0.000000, 0.000000], [0.515872, -0.130544, -0.313470, -0.216448, 0.674269, 0.116041, -0.269680, 0.175754, 0.000000, 0.000000], [0.297111, -0.431293, 0.136469, 0.476650, 0.228699, -0.075367, 0.542751, -0.356833, 0.000000, 0.000000], [0.475699, 0.363997, -0.016362, 0.125239, -0.222755, -0.257416, 0.378781, 0.604902, 0.000000, 0.000000], [-0.385220, 0.550702, -0.262930, -0.044634, 0.478340, 0.060295, 0.478852, -0.124357, 0.000000, 0.000000], [-0.226439, -0.490388, -0.201538, -0.275310, -0.126192, 0.474727, 0.420108, 0.417194, 0.000000, 0.000000], [-0.112745, 0.143457, 0.065912, 0.716658, 0.106324, 0.541066, -0.253331, 0.283781, 0.000000, 0.000000], [0.065959, 0.120714, 0.863855, -0.310133, 0.251129, 0.237679, 0.102838, 0.092294, 0.000000, 0.000000]]
fourier: [[159.472939, 162.982195, 167.724711, 169.327985, 650.340387], [183.639873, 187.932485, 193.429015, 193.736845, 739.510294], [106.290428, 108.951792, 111.561239, 112.548672, 395.091971], [168.636781, 172.115626, 177.158771, 179.165001, 690.900553], [137.728285, 141.097906, 144.624924, 145.838646, 434.688781], [80.892870, 81.039212, 83.494522, 85.683017, 423.872310], [40.498849, 41.251652, 42.237912, 42.715673, 163.979522], [23.118269, 24.009070, 24.536368, 25.288671, 31.526960]]
### 8
mean: [-20.838438]
std: [27.250879]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[454.689432, 458.981658, 474.965470, 489.348231, 1875.459479]]
## 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": 0.688543975353241, "train_acc": 0.44, "val_loss": 0.6939927935600281, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776759922504425, "train_acc": 0.56, "val_loss": 0.6114189028739929, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6207808256149292, "train_acc": 0.55, "val_loss": 0.38941800594329834, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4224386066198349, "train_acc": 0.795, "val_loss": 0.2845374047756195, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.27493496239185333, "train_acc": 0.94, "val_loss": 0.19166721403598785, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.1956232339143753, "train_acc": 0.93, "val_loss": 0.13159602880477905, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.17207659780979156, "train_acc": 0.95, "val_loss": 0.29451435804367065, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3884073495864868, "train_acc": 0.905, "val_loss": 0.08289127051830292, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2010648548603058, "train_acc": 0.965, "val_loss": 0.41133835911750793, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19558879733085632, "train_acc": 0.905, "val_loss": 0.2498161494731903, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2167099118232727, "train_acc": 0.92, "val_loss": 0.26121363043785095, "val_acc": 0.9}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6939927935600281, "final_val_loss": 0.6114189028739929, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.38941800594329834, "final_val_loss": 0.26121363043785095, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
9,968
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.72, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8691, "learning_rate": 0.09807475694927968, "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: 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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],
"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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"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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"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [-2.976234, -0.931867, 0.611164, 0.817280, -1.412856, -0.243125, -0.420684]
std: [2.337654, 1.449871, 1.958861, 1.448211, 2.057328, 1.138425, 2.269969]
pca: [[0.299750, 0.783118, -0.003034, -0.443099, 0.222627, -0.182297, 0.133173, 0.000000, 0.000000, 0.000000], [0.277054, 0.329234, 0.133328, 0.840030, -0.118585, -0.146040, 0.236705, 0.000000, 0.000000, 0.000000], [-0.484709, 0.012678, -0.381394, 0.204823, 0.685135, -0.216819, 0.247107, 0.000000, 0.000000, 0.000000], [-0.250884, -0.056449, 0.669675, -0.134009, 0.073973, 0.219760, 0.643181, 0.000000, 0.000000, 0.000000], [0.526465, -0.149820, -0.095918, 0.078292, 0.498252, 0.660421, 0.025435, 0.000000, 0.000000, 0.000000], [-0.125217, 0.148217, -0.595551, -0.059959, -0.461726, 0.383382, 0.493867, 0.000000, 0.000000, 0.000000], [0.492606, -0.480177, -0.156230, -0.168455, -0.006815, -0.516718, 0.454908, 0.000000, 0.000000, 0.000000]]
fourier: [[36.468362, 37.158635, 40.246463, 41.427670, 267.861099], [19.469590, 23.015799, 25.288274, 26.347607, 83.868023], [29.988949, 30.881484, 31.756491, 33.284452, 55.004784], [21.840715, 23.358583, 26.068253, 26.418669, 73.555181], [27.742233, 27.809409, 30.696431, 41.523192, 127.157008], [21.507958, 21.881220, 22.304903, 25.013394, 26.493134], [33.329145, 33.971263, 37.861529, 38.974842, 53.586060]]
### 2
mean: [-0.330398, -0.668611, 0.647919, -0.358266, -0.675543, 0.805749, -0.155139]
std: [0.751495, 1.753133, 0.923707, 0.490740, 1.122638, 0.687103, 0.466793]
pca: [[0.228290, 0.420268, -0.494633, -0.282365, 0.419647, 0.518615, -0.042450, 0.000000, 0.000000, 0.000000], [0.771117, 0.019474, -0.133020, -0.253850, -0.168874, -0.460124, 0.287460, 0.000000, 0.000000, 0.000000], [-0.336019, 0.494348, 0.240057, -0.100998, 0.229005, -0.207350, 0.692420, 0.000000, 0.000000, 0.000000], [-0.029354, 0.263447, -0.542411, 0.755729, -0.085951, -0.232398, 0.054785, 0.000000, 0.000000, 0.000000], [0.438600, 0.309923, 0.601891, 0.417647, 0.331649, 0.068796, -0.245259, 0.000000, 0.000000, 0.000000], [-0.205204, 0.496737, -0.027069, -0.316301, -0.092604, -0.484873, -0.605547, 0.000000, 0.000000, 0.000000], [-0.070806, -0.407936, -0.151004, -0.005211, 0.785481, -0.427185, -0.079234, 0.000000, 0.000000, 0.000000]]
fourier: [[10.617312, 11.317440, 12.438762, 14.841028, 29.735825], [24.927113, 24.940863, 28.635077, 31.040684, 60.174965], [13.398044, 14.104150, 14.501813, 15.601823, 58.312679], [7.270660, 7.452236, 7.996285, 8.759035, 32.243909], [16.489692, 16.619289, 18.617082, 20.297192, 60.798840], [10.551125, 11.084728, 11.337416, 13.208880, 72.517438], [7.250644, 7.322983, 9.502677, 10.689189, 13.962517]]
### 4
mean: [-0.106826, -0.588425, -0.392351, 0.691327, 0.095325, -0.213544, 0.175667]
std: [1.099217, 1.017823, 0.495669, 1.184483, 0.383637, 1.057997, 0.374785]
pca: [[0.478095, 0.474849, -0.348736, 0.618248, 0.142937, 0.110288, -0.097477, 0.000000, 0.000000, 0.000000], [-0.446076, 0.415550, 0.212724, 0.042607, 0.679952, 0.001915, 0.344862, 0.000000, 0.000000, 0.000000], [-0.189755, 0.352762, 0.597232, 0.373018, -0.528705, -0.249998, -0.041179, 0.000000, 0.000000, 0.000000], [0.533166, 0.298092, 0.488659, -0.450125, 0.038692, 0.428884, 0.005970, 0.000000, 0.000000, 0.000000], [0.114052, -0.402005, 0.143095, 0.374961, -0.113074, 0.368323, 0.718238, 0.000000, 0.000000, 0.000000], [-0.483899, 0.113830, -0.137626, 0.070140, -0.199649, 0.775015, -0.297517, 0.000000, 0.000000, 0.000000], [0.070733, -0.462571, 0.445243, 0.358725, 0.428443, 0.071287, -0.515224, 0.000000, 0.000000, 0.000000]]
fourier: [[16.913622, 17.559201, 17.598924, 19.307268, 20.920393], [15.021472, 15.075233, 15.747537, 15.962700, 52.958221], [7.027805, 7.336223, 8.217495, 8.868900, 35.311552], [18.296218, 19.316332, 20.846081, 21.355698, 62.219425], [6.115740, 6.695585, 6.801939, 7.384501, 8.579233], [16.364436, 16.812874, 17.444025, 17.595014, 19.218975], [5.970886, 6.130963, 6.585568, 7.348073, 15.810051]]
### 6
mean: [-0.105679, -0.447144, -0.700365, 0.185623, -0.471826, -0.203540, 0.408580]
std: [0.652473, 0.507825, 0.529555, 1.032226, 0.425431, 0.693346, 0.386318]
pca: [[-0.368950, -0.514530, 0.073329, -0.077701, 0.380131, 0.074757, 0.661538, 0.000000, 0.000000, 0.000000], [0.309476, 0.222441, 0.452501, 0.031157, 0.240986, 0.765142, 0.074171, 0.000000, 0.000000, 0.000000], [-0.320602, 0.247696, 0.562562, -0.351665, 0.421570, -0.365302, -0.290775, 0.000000, 0.000000, 0.000000], [0.649984, 0.071541, 0.283457, 0.180087, 0.067589, -0.521438, 0.427969, 0.000000, 0.000000, 0.000000], [-0.254041, -0.221921, 0.369291, 0.834141, -0.053138, -0.046895, -0.221415, 0.000000, 0.000000, 0.000000], [-0.347583, 0.749638, -0.241052, 0.309014, 0.120755, -0.022766, 0.385400, 0.000000, 0.000000, 0.000000], [0.239762, -0.090007, -0.445600, 0.213569, 0.773131, -0.030144, -0.302657, 0.000000, 0.000000, 0.000000]]
fourier: [[9.548545, 9.954912, 10.164017, 10.364428, 12.510156], [8.363714, 8.427443, 8.527424, 9.687743, 40.242927], [8.235696, 8.406828, 8.414847, 9.257614, 63.032851], [16.421254, 16.440124, 16.706075, 17.668023, 18.598375], [6.669715, 6.769292, 6.788916, 8.291448, 42.464316], [11.584116, 11.691174, 12.267782, 12.561541, 18.318572], [6.240369, 6.266377, 6.591246, 6.655774, 36.772191]]
### 8
mean: [-0.133160, 0.290115, 0.004131, 0.171172, 0.033832, 0.266432, -0.066498]
std: [0.196351, 0.266170, 0.107584, 0.346745, 0.196267, 0.392802, 0.378784]
pca: [[0.058198, 0.619090, 0.474230, 0.209686, 0.109488, 0.413656, 0.401720, 0.000000, 0.000000, 0.000000], [0.374190, -0.187478, -0.388632, 0.012989, -0.078964, -0.099649, 0.810842, 0.000000, 0.000000, 0.000000], [0.122556, -0.212012, 0.143047, 0.343427, 0.853321, -0.270954, 0.007284, 0.000000, 0.000000, 0.000000], [0.499974, -0.009626, -0.287969, -0.346179, 0.312043, 0.618633, -0.259016, 0.000000, 0.000000, 0.000000], [0.032416, 0.630310, -0.212560, -0.496602, 0.225939, -0.508726, -0.003664, 0.000000, 0.000000, 0.000000], [0.550707, 0.298598, -0.189278, 0.585385, -0.271069, -0.205259, -0.336823, 0.000000, 0.000000, 0.000000], [0.535978, -0.223802, 0.663079, -0.358877, -0.178107, -0.248800, -0.023453, 0.000000, 0.000000, 0.000000]]
fourier: [[3.174644, 3.529715, 3.540530, 3.661462, 11.984409], [4.086008, 4.158776, 4.259665, 5.065304, 26.110353], [1.410994, 1.481496, 1.862550, 1.891835, 2.105488], [5.631001, 5.646697, 5.987881, 6.538212, 15.405476], [3.044884, 3.445900, 3.470306, 3.642048, 3.782418], [6.525529, 6.585049, 6.759433, 7.019663, 23.978859], [5.984813, 6.059908, 6.144266, 6.296956, 7.340598]]
### 10
mean: [-0.045993]
std: [0.141389]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.361841, 2.430787, 2.533938, 2.539200, 4.139398]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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-0.121544,
-0.788202,
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],
[
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],
[
-0.397836,
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0.220921
],
[
-0.485752,
-0.259072,
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],
[
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],
[
0.043655,
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0.029187,
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],
[
0.927599,
-0.604979,
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-0.322247,
0.269145
]
],
"network.0.bias": [
-0.320043,
0.271513,
-0.438303,
0.180913,
-0.411502,
-0.331917,
-0.314211
],
"network.2.weight": [
[
0.420158,
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-0.446934,
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],
[
-0.277086,
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],
[
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],
[
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],
[
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-0.166671,
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],
[
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0.042818,
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],
[
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-0.220732,
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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.4.bias": [
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"network.6.weight": [
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[
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0.019071,
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[
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],
[
0.373469,
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0.072855,
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0.356655,
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-0.117584
],
[
-0.192055,
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0.038213,
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0.718507
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[
-0.586303,
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0.17864,
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],
[
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-0.179753,
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]
],
"network.6.bias": [
-0.092627,
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],
"network.8.weight": [
[
-0.203999,
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-0.073887,
0.690408,
-0.111064
],
[
0.435659,
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0.108903,
-0.130712,
0.080498,
0.057202,
0.064124
],
[
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],
[
0.451781,
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[
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],
[
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0.667314,
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[
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0.112483,
0.684675,
0.304451
]
],
"network.8.bias": [
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-0.15723
],
"network.10.weight": [
[
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0.261707,
-0.433741,
-0.300999,
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]
],
"network.10.bias": [
0.059711
]
}
## Activation Signature
### 0
mean: [-2.976234, -0.931867, 0.611164, 0.817280, -1.412856, -0.243125, -0.420684]
std: [2.337654, 1.449871, 1.958861, 1.448211, 2.057328, 1.138425, 2.269969]
pca: [[0.299750, 0.783118, -0.003034, -0.443099, 0.222627, -0.182297, 0.133173, 0.000000, 0.000000, 0.000000], [0.277054, 0.329234, 0.133328, 0.840030, -0.118585, -0.146040, 0.236705, 0.000000, 0.000000, 0.000000], [-0.484709, 0.012678, -0.381394, 0.204823, 0.685135, -0.216819, 0.247107, 0.000000, 0.000000, 0.000000], [-0.250884, -0.056449, 0.669675, -0.134009, 0.073973, 0.219760, 0.643181, 0.000000, 0.000000, 0.000000], [0.526465, -0.149820, -0.095918, 0.078292, 0.498252, 0.660421, 0.025435, 0.000000, 0.000000, 0.000000], [-0.125217, 0.148217, -0.595551, -0.059959, -0.461726, 0.383382, 0.493867, 0.000000, 0.000000, 0.000000], [0.492606, -0.480177, -0.156230, -0.168455, -0.006815, -0.516718, 0.454908, 0.000000, 0.000000, 0.000000]]
fourier: [[36.468362, 37.158635, 40.246463, 41.427670, 267.861099], [19.469590, 23.015799, 25.288274, 26.347607, 83.868023], [29.988949, 30.881484, 31.756491, 33.284452, 55.004784], [21.840715, 23.358583, 26.068253, 26.418669, 73.555181], [27.742233, 27.809409, 30.696431, 41.523192, 127.157008], [21.507958, 21.881220, 22.304903, 25.013394, 26.493134], [33.329145, 33.971263, 37.861529, 38.974842, 53.586060]]
### 2
mean: [-0.330398, -0.668611, 0.647919, -0.358266, -0.675543, 0.805749, -0.155139]
std: [0.751495, 1.753133, 0.923707, 0.490740, 1.122638, 0.687103, 0.466793]
pca: [[0.228290, 0.420268, -0.494633, -0.282365, 0.419647, 0.518615, -0.042450, 0.000000, 0.000000, 0.000000], [0.771117, 0.019474, -0.133020, -0.253850, -0.168874, -0.460124, 0.287460, 0.000000, 0.000000, 0.000000], [-0.336019, 0.494348, 0.240057, -0.100998, 0.229005, -0.207350, 0.692420, 0.000000, 0.000000, 0.000000], [-0.029354, 0.263447, -0.542411, 0.755729, -0.085951, -0.232398, 0.054785, 0.000000, 0.000000, 0.000000], [0.438600, 0.309923, 0.601891, 0.417647, 0.331649, 0.068796, -0.245259, 0.000000, 0.000000, 0.000000], [-0.205204, 0.496737, -0.027069, -0.316301, -0.092604, -0.484873, -0.605547, 0.000000, 0.000000, 0.000000], [-0.070806, -0.407936, -0.151004, -0.005211, 0.785481, -0.427185, -0.079234, 0.000000, 0.000000, 0.000000]]
fourier: [[10.617312, 11.317440, 12.438762, 14.841028, 29.735825], [24.927113, 24.940863, 28.635077, 31.040684, 60.174965], [13.398044, 14.104150, 14.501813, 15.601823, 58.312679], [7.270660, 7.452236, 7.996285, 8.759035, 32.243909], [16.489692, 16.619289, 18.617082, 20.297192, 60.798840], [10.551125, 11.084728, 11.337416, 13.208880, 72.517438], [7.250644, 7.322983, 9.502677, 10.689189, 13.962517]]
### 4
mean: [-0.106826, -0.588425, -0.392351, 0.691327, 0.095325, -0.213544, 0.175667]
std: [1.099217, 1.017823, 0.495669, 1.184483, 0.383637, 1.057997, 0.374785]
pca: [[0.478095, 0.474849, -0.348736, 0.618248, 0.142937, 0.110288, -0.097477, 0.000000, 0.000000, 0.000000], [-0.446076, 0.415550, 0.212724, 0.042607, 0.679952, 0.001915, 0.344862, 0.000000, 0.000000, 0.000000], [-0.189755, 0.352762, 0.597232, 0.373018, -0.528705, -0.249998, -0.041179, 0.000000, 0.000000, 0.000000], [0.533166, 0.298092, 0.488659, -0.450125, 0.038692, 0.428884, 0.005970, 0.000000, 0.000000, 0.000000], [0.114052, -0.402005, 0.143095, 0.374961, -0.113074, 0.368323, 0.718238, 0.000000, 0.000000, 0.000000], [-0.483899, 0.113830, -0.137626, 0.070140, -0.199649, 0.775015, -0.297517, 0.000000, 0.000000, 0.000000], [0.070733, -0.462571, 0.445243, 0.358725, 0.428443, 0.071287, -0.515224, 0.000000, 0.000000, 0.000000]]
fourier: [[16.913622, 17.559201, 17.598924, 19.307268, 20.920393], [15.021472, 15.075233, 15.747537, 15.962700, 52.958221], [7.027805, 7.336223, 8.217495, 8.868900, 35.311552], [18.296218, 19.316332, 20.846081, 21.355698, 62.219425], [6.115740, 6.695585, 6.801939, 7.384501, 8.579233], [16.364436, 16.812874, 17.444025, 17.595014, 19.218975], [5.970886, 6.130963, 6.585568, 7.348073, 15.810051]]
### 6
mean: [-0.105679, -0.447144, -0.700365, 0.185623, -0.471826, -0.203540, 0.408580]
std: [0.652473, 0.507825, 0.529555, 1.032226, 0.425431, 0.693346, 0.386318]
pca: [[-0.368950, -0.514530, 0.073329, -0.077701, 0.380131, 0.074757, 0.661538, 0.000000, 0.000000, 0.000000], [0.309476, 0.222441, 0.452501, 0.031157, 0.240986, 0.765142, 0.074171, 0.000000, 0.000000, 0.000000], [-0.320602, 0.247696, 0.562562, -0.351665, 0.421570, -0.365302, -0.290775, 0.000000, 0.000000, 0.000000], [0.649984, 0.071541, 0.283457, 0.180087, 0.067589, -0.521438, 0.427969, 0.000000, 0.000000, 0.000000], [-0.254041, -0.221921, 0.369291, 0.834141, -0.053138, -0.046895, -0.221415, 0.000000, 0.000000, 0.000000], [-0.347583, 0.749638, -0.241052, 0.309014, 0.120755, -0.022766, 0.385400, 0.000000, 0.000000, 0.000000], [0.239762, -0.090007, -0.445600, 0.213569, 0.773131, -0.030144, -0.302657, 0.000000, 0.000000, 0.000000]]
fourier: [[9.548545, 9.954912, 10.164017, 10.364428, 12.510156], [8.363714, 8.427443, 8.527424, 9.687743, 40.242927], [8.235696, 8.406828, 8.414847, 9.257614, 63.032851], [16.421254, 16.440124, 16.706075, 17.668023, 18.598375], [6.669715, 6.769292, 6.788916, 8.291448, 42.464316], [11.584116, 11.691174, 12.267782, 12.561541, 18.318572], [6.240369, 6.266377, 6.591246, 6.655774, 36.772191]]
### 8
mean: [-0.133160, 0.290115, 0.004131, 0.171172, 0.033832, 0.266432, -0.066498]
std: [0.196351, 0.266170, 0.107584, 0.346745, 0.196267, 0.392802, 0.378784]
pca: [[0.058198, 0.619090, 0.474230, 0.209686, 0.109488, 0.413656, 0.401720, 0.000000, 0.000000, 0.000000], [0.374190, -0.187478, -0.388632, 0.012989, -0.078964, -0.099649, 0.810842, 0.000000, 0.000000, 0.000000], [0.122556, -0.212012, 0.143047, 0.343427, 0.853321, -0.270954, 0.007284, 0.000000, 0.000000, 0.000000], [0.499974, -0.009626, -0.287969, -0.346179, 0.312043, 0.618633, -0.259016, 0.000000, 0.000000, 0.000000], [0.032416, 0.630310, -0.212560, -0.496602, 0.225939, -0.508726, -0.003664, 0.000000, 0.000000, 0.000000], [0.550707, 0.298598, -0.189278, 0.585385, -0.271069, -0.205259, -0.336823, 0.000000, 0.000000, 0.000000], [0.535978, -0.223802, 0.663079, -0.358877, -0.178107, -0.248800, -0.023453, 0.000000, 0.000000, 0.000000]]
fourier: [[3.174644, 3.529715, 3.540530, 3.661462, 11.984409], [4.086008, 4.158776, 4.259665, 5.065304, 26.110353], [1.410994, 1.481496, 1.862550, 1.891835, 2.105488], [5.631001, 5.646697, 5.987881, 6.538212, 15.405476], [3.044884, 3.445900, 3.470306, 3.642048, 3.782418], [6.525529, 6.585049, 6.759433, 7.019663, 23.978859], [5.984813, 6.059908, 6.144266, 6.296956, 7.340598]]
### 10
mean: [-0.045993]
std: [0.141389]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[2.361841, 2.430787, 2.533938, 2.539200, 4.139398]]
## 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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.153151, 0.233613, -0.121544, -0.788202, -0.767962], [-0.123513, 0.155301, 0.157619, -0.680807, -0.163754], [-0.397836, 0.547908, -0.406123, 0.523221, 0.220921], [-0.485752, -0.259072, 0.378073, 0.442467, -0.0208], [0.661858, -0.40084, 0.063297, -0.612646, 0.070529], [0.043655, 0.503722, -0.423699, 0.029187, -0.049425], [0.927599, -0.604979, 0.096072, -0.322247, 0.269145]], "network.0.bias": [-0.320043, 0.271513, -0.438303, 0.180913, -0.411502, -0.331917, -0.314211], "network.2.weight": [[0.420158, 0.10723, -0.446934, 0.135206, -0.198505, -0.303588, 0.091022], [-0.277086, 0.333598, -0.788887, -0.43193, 0.193739, -0.081648, 0.336854], [1.027964, -0.59874, 0.230664, 0.563553, 0.098611, -0.295032, -0.122285], [0.618422, -0.34366, -0.211462, 0.043066, 0.461071, -0.156347, -0.559729], [-0.454865, -0.236563, -0.166671, -0.203341, 0.571407, -0.795657, 0.215174], [0.266584, -0.458558, -0.034388, 0.563458, 0.042818, -0.073363, -0.106174], [-0.248798, 0.011848, 0.120828, -0.220732, -0.61674, 0.3122, 0.181154]], "network.2.bias": [0.045262, 0.298252, 0.0651, 0.128041, -0.38029, 0.403605, -0.116093], "network.4.weight": [[-0.499445, -0.88825, 0.230845, -0.071849, -0.272725, 0.430773, 0.016514], [0.04989, 0.090704, -0.758695, -0.131179, 0.055545, -0.519552, -0.385903], [-0.181817, -0.408379, -0.372692, 0.464808, 0.295553, -0.413004, -0.485674], [0.156771, -0.932309, 0.372269, 0.099312, -0.079048, 0.531383, -0.36815], [-0.286692, 0.095141, 0.363383, -0.279895, 0.150529, 0.132256, 0.009769], [0.220078, 0.338777, -0.625353, -0.239227, 0.204206, -0.475282, 0.067127], [-0.446952, 0.194857, 0.302934, -0.351675, 0.154609, 0.131286, -0.215431]], "network.4.bias": [-0.297431, 0.231689, 0.269244, 0.355736, -0.285246, 0.400583, -0.196946], "network.6.weight": [[-0.087056, 0.412861, 0.695379, -0.240994, -0.151728, 0.735822, 0.674409], [0.47211, -0.424795, 0.097662, 0.019071, -0.281922, -0.665711, 0.167455], [0.226222, 0.124369, 0.395217, -0.547095, -0.3505, 0.166963, -0.01089], [0.373469, -0.636567, 0.072855, 0.476038, 0.356655, -0.931003, -0.117584], [-0.192055, 0.146208, -0.064656, -0.363827, 0.038213, 0.263718, 0.718507], [-0.586303, -0.260058, -0.82858, -0.364534, -0.096538, 0.17864, -0.656404], [-0.436846, -0.326683, 0.158331, 0.483978, 0.083906, -0.179753, 0.252867]], "network.6.bias": [-0.092627, -0.404852, -0.283638, -0.081961, -0.31324, 0.236991, 0.126536], "network.8.weight": [[-0.203999, -0.069286, -0.101198, -0.096036, -0.073887, 0.690408, -0.111064], [0.435659, -0.087854, 0.108903, -0.130712, 0.080498, 0.057202, 0.064124], [0.246395, 0.115195, -0.072103, -0.109058, 0.084153, 0.091683, 0.326774], [0.451781, -0.188493, -0.128687, -0.098838, 0.150835, 0.3646, -0.148482], [-0.423179, 0.071933, 0.113415, -0.008658, 0.142687, 0.31649, -0.560797], [0.473511, -0.01139, 0.089017, -0.349063, -0.130654, 0.667314, 0.126567], [0.669389, 0.183531, -0.062489, -0.183978, 0.112483, 0.684675, 0.304451]], "network.8.bias": [-0.101953, 0.297527, -0.070243, 0.187706, 0.264204, 0.293264, -0.15723], "network.10.weight": [[-0.141766, -0.33789, 0.023786, 0.261707, -0.433741, -0.300999, -0.128255]], "network.10.bias": [0.059711]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6927230954170227, "train_acc": 0.545, "val_loss": 0.6983775496482849, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681783139705658, "train_acc": 0.56, "val_loss": 0.696280837059021, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.644357830286026, "train_acc": 0.56, "val_loss": 0.5768942832946777, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 1.1632167994976044, "train_acc": 0.505, "val_loss": 0.6063072085380554, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6312104761600494, "train_acc": 0.535, "val_loss": 0.650688648223877, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6670970022678375, "train_acc": 0.65, "val_loss": 0.6693252325057983, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6793014407157898, "train_acc": 0.51, "val_loss": 0.654431939125061, "val_acc": 0.54}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6983775496482849, "final_val_loss": 0.5768942832946777, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6063072085380554, "final_val_loss": 0.654431939125061, "initial_val_acc": 0.48, "final_val_acc": 0.54, "best_val_acc": 0.72, "best_epoch": 4}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
9,969
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2242, "learning_rate": 0.05756063314885291, "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: 6
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: [-0.129259, 3.529146, 1.840197, 2.313575, 0.610644, 1.363523]
std: [1.085677, 3.042819, 1.884907, 1.715657, 2.108629, 1.932693]
pca: [[-0.194730, 0.337713, 0.116585, -0.151196, 0.897204, -0.081255, 0.000000, 0.000000, 0.000000, 0.000000], [0.669511, 0.407889, -0.381456, -0.036012, -0.008949, -0.488360, 0.000000, 0.000000, 0.000000, 0.000000], [0.415747, 0.166445, -0.093375, -0.367595, 0.050955, 0.808090, 0.000000, 0.000000, 0.000000, 0.000000], [0.279376, 0.222694, 0.902961, -0.110959, -0.170539, -0.124986, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345647, 0.780462, -0.062256, 0.386558, -0.277155, 0.203200, 0.000000, 0.000000, 0.000000, 0.000000], [0.378770, -0.182099, 0.113864, 0.824001, 0.294024, 0.212088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.607907, 15.577026, 16.078276, 20.344094, 21.691995], [48.568116, 53.127189, 53.244866, 56.437759, 317.623185], [29.896154, 30.228478, 31.764065, 32.014230, 165.617750], [24.516802, 27.117611, 31.560906, 32.539677, 208.221773], [32.688814, 34.843657, 36.414961, 36.728659, 54.957960], [32.079869, 37.044214, 39.617996, 41.478947, 122.717034]]
### 2
mean: [-1.946273, 2.192906, -3.422605, 1.895379, -2.588033, 2.353987]
std: [1.274928, 3.098289, 2.949084, 1.953268, 1.553711, 1.334806]
pca: [[-0.238864, -0.271028, 0.270416, -0.106363, 0.574228, 0.674769, 0.000000, 0.000000, 0.000000, 0.000000], [0.601832, -0.507650, -0.141927, 0.273193, 0.455675, -0.278696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.579846, -0.028033, 0.362885, 0.261743, 0.325268, -0.597494, 0.000000, 0.000000, 0.000000, 0.000000], [0.348067, -0.146044, 0.863430, -0.041097, -0.332102, -0.005329, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278576, -0.512612, -0.122238, 0.611603, -0.463813, 0.235588, 0.000000, 0.000000, 0.000000, 0.000000], [0.213929, 0.619637, 0.120800, 0.685417, 0.177226, 0.233424, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.577280, 21.623922, 21.836800, 23.437464, 175.164552], [50.670678, 51.333997, 53.013549, 68.501760, 197.361531], [49.565170, 50.978668, 51.457859, 57.335804, 308.034430], [30.427192, 30.835777, 39.023440, 40.236927, 170.584165], [24.999143, 25.804071, 30.324906, 31.088792, 232.923013], [20.712864, 21.018691, 25.281907, 26.948052, 211.858765]]
### 4
mean: [0.993546, 3.352588, 1.180264, 0.103294, 2.622372, 0.055178]
std: [1.030042, 3.193583, 1.636708, 0.913457, 2.758665, 0.836601]
pca: [[0.210301, -0.254368, -0.501285, 0.636709, 0.431928, -0.218687, 0.000000, 0.000000, 0.000000, 0.000000], [0.670837, 0.275352, -0.176907, -0.299477, -0.209828, -0.556012, 0.000000, 0.000000, 0.000000, 0.000000], [0.337486, -0.115007, 0.789738, 0.475947, -0.081259, -0.126731, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168343, 0.767060, -0.139645, 0.500508, -0.328004, 0.075393, 0.000000, 0.000000, 0.000000, 0.000000], [0.579836, 0.196743, -0.036785, -0.060510, 0.256924, 0.744351, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165244, 0.468148, 0.269956, -0.155629, 0.767601, -0.259275, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.350697, 19.958476, 20.117934, 21.365768, 89.419104], [55.054374, 56.539649, 60.699587, 64.239814, 301.732935], [28.026215, 29.461906, 30.635267, 33.531985, 106.223732], [14.332442, 14.600311, 15.831918, 19.452620, 20.024533], [47.833342, 49.195481, 52.121761, 55.716506, 236.013522], [12.999062, 14.360292, 15.370402, 17.677193, 17.869953]]
### 6
mean: [-0.636738, 4.959226, 2.921276, -1.893891, -1.779699, -1.162629]
std: [0.113179, 5.308282, 3.296356, 1.608132, 1.388953, 0.391018]
pca: [[-0.012995, 0.091055, 0.610947, -0.441481, 0.636571, 0.134742, 0.000000, 0.000000, 0.000000, 0.000000], [0.803751, -0.137591, -0.240077, 0.276349, 0.440963, 0.081238, 0.000000, 0.000000, 0.000000, 0.000000], [0.498219, 0.636923, 0.055334, -0.415115, -0.400080, -0.103255, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242559, 0.440334, -0.378086, 0.046645, 0.459618, -0.625218, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209573, 0.342617, -0.496347, -0.139505, 0.170226, 0.737492, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053272, 0.505793, 0.420400, 0.731278, -0.006284, 0.172603, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.888161, 2.242460, 2.354006, 2.466022, 57.306380], [94.014474, 97.900514, 99.848567, 108.622438, 446.330286], [59.295739, 61.120088, 62.634149, 69.840328, 262.914781], [27.646170, 28.688299, 29.943877, 31.495487, 170.450194], [24.047962, 24.623718, 25.820219, 27.558056, 160.172917], [6.676577, 6.686549, 6.803857, 8.016128, 104.636578]]
### 8
mean: [4.530825, 1.153967, -1.618681, 0.435025, 2.328919, -3.635919]
std: [4.421714, 1.533731, 1.682401, 0.207751, 2.826327, 3.844098]
pca: [[0.641303, 0.259241, 0.676596, -0.070064, -0.058427, -0.235414, 0.000000, 0.000000, 0.000000, 0.000000], [0.222441, 0.160357, -0.070342, -0.057725, -0.599552, 0.746366, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243899, 0.817255, -0.241113, -0.210937, -0.240331, -0.334992, 0.000000, 0.000000, 0.000000, 0.000000], [0.030022, 0.287529, -0.017649, 0.954041, 0.059294, 0.049031, 0.000000, 0.000000, 0.000000, 0.000000], [0.409909, 0.308849, -0.353226, -0.172033, 0.692248, 0.320961, 0.000000, 0.000000, 0.000000, 0.000000], [-0.557527, 0.247211, 0.595025, -0.086456, 0.310873, 0.412163, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.733078, 82.073710, 83.941625, 89.894099, 407.774219], [27.289328, 28.444908, 29.077241, 31.170759, 103.857014], [30.203904, 31.522783, 32.429956, 34.316091, 145.681294], [3.607567, 3.756454, 3.778079, 4.169893, 39.152209], [50.284240, 52.413114, 53.575323, 57.438820, 209.602766], [68.582126, 71.508657, 73.236519, 78.216818, 327.232650]]
### 10
mean: [-2.762463]
std: [3.242931]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.463048, 60.649977, 61.940079, 65.058693, 248.621711]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-0.129259, 3.529146, 1.840197, 2.313575, 0.610644, 1.363523]
std: [1.085677, 3.042819, 1.884907, 1.715657, 2.108629, 1.932693]
pca: [[-0.194730, 0.337713, 0.116585, -0.151196, 0.897204, -0.081255, 0.000000, 0.000000, 0.000000, 0.000000], [0.669511, 0.407889, -0.381456, -0.036012, -0.008949, -0.488360, 0.000000, 0.000000, 0.000000, 0.000000], [0.415747, 0.166445, -0.093375, -0.367595, 0.050955, 0.808090, 0.000000, 0.000000, 0.000000, 0.000000], [0.279376, 0.222694, 0.902961, -0.110959, -0.170539, -0.124986, 0.000000, 0.000000, 0.000000, 0.000000], [-0.345647, 0.780462, -0.062256, 0.386558, -0.277155, 0.203200, 0.000000, 0.000000, 0.000000, 0.000000], [0.378770, -0.182099, 0.113864, 0.824001, 0.294024, 0.212088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.607907, 15.577026, 16.078276, 20.344094, 21.691995], [48.568116, 53.127189, 53.244866, 56.437759, 317.623185], [29.896154, 30.228478, 31.764065, 32.014230, 165.617750], [24.516802, 27.117611, 31.560906, 32.539677, 208.221773], [32.688814, 34.843657, 36.414961, 36.728659, 54.957960], [32.079869, 37.044214, 39.617996, 41.478947, 122.717034]]
### 2
mean: [-1.946273, 2.192906, -3.422605, 1.895379, -2.588033, 2.353987]
std: [1.274928, 3.098289, 2.949084, 1.953268, 1.553711, 1.334806]
pca: [[-0.238864, -0.271028, 0.270416, -0.106363, 0.574228, 0.674769, 0.000000, 0.000000, 0.000000, 0.000000], [0.601832, -0.507650, -0.141927, 0.273193, 0.455675, -0.278696, 0.000000, 0.000000, 0.000000, 0.000000], [-0.579846, -0.028033, 0.362885, 0.261743, 0.325268, -0.597494, 0.000000, 0.000000, 0.000000, 0.000000], [0.348067, -0.146044, 0.863430, -0.041097, -0.332102, -0.005329, 0.000000, 0.000000, 0.000000, 0.000000], [-0.278576, -0.512612, -0.122238, 0.611603, -0.463813, 0.235588, 0.000000, 0.000000, 0.000000, 0.000000], [0.213929, 0.619637, 0.120800, 0.685417, 0.177226, 0.233424, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.577280, 21.623922, 21.836800, 23.437464, 175.164552], [50.670678, 51.333997, 53.013549, 68.501760, 197.361531], [49.565170, 50.978668, 51.457859, 57.335804, 308.034430], [30.427192, 30.835777, 39.023440, 40.236927, 170.584165], [24.999143, 25.804071, 30.324906, 31.088792, 232.923013], [20.712864, 21.018691, 25.281907, 26.948052, 211.858765]]
### 4
mean: [0.993546, 3.352588, 1.180264, 0.103294, 2.622372, 0.055178]
std: [1.030042, 3.193583, 1.636708, 0.913457, 2.758665, 0.836601]
pca: [[0.210301, -0.254368, -0.501285, 0.636709, 0.431928, -0.218687, 0.000000, 0.000000, 0.000000, 0.000000], [0.670837, 0.275352, -0.176907, -0.299477, -0.209828, -0.556012, 0.000000, 0.000000, 0.000000, 0.000000], [0.337486, -0.115007, 0.789738, 0.475947, -0.081259, -0.126731, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168343, 0.767060, -0.139645, 0.500508, -0.328004, 0.075393, 0.000000, 0.000000, 0.000000, 0.000000], [0.579836, 0.196743, -0.036785, -0.060510, 0.256924, 0.744351, 0.000000, 0.000000, 0.000000, 0.000000], [-0.165244, 0.468148, 0.269956, -0.155629, 0.767601, -0.259275, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[17.350697, 19.958476, 20.117934, 21.365768, 89.419104], [55.054374, 56.539649, 60.699587, 64.239814, 301.732935], [28.026215, 29.461906, 30.635267, 33.531985, 106.223732], [14.332442, 14.600311, 15.831918, 19.452620, 20.024533], [47.833342, 49.195481, 52.121761, 55.716506, 236.013522], [12.999062, 14.360292, 15.370402, 17.677193, 17.869953]]
### 6
mean: [-0.636738, 4.959226, 2.921276, -1.893891, -1.779699, -1.162629]
std: [0.113179, 5.308282, 3.296356, 1.608132, 1.388953, 0.391018]
pca: [[-0.012995, 0.091055, 0.610947, -0.441481, 0.636571, 0.134742, 0.000000, 0.000000, 0.000000, 0.000000], [0.803751, -0.137591, -0.240077, 0.276349, 0.440963, 0.081238, 0.000000, 0.000000, 0.000000, 0.000000], [0.498219, 0.636923, 0.055334, -0.415115, -0.400080, -0.103255, 0.000000, 0.000000, 0.000000, 0.000000], [-0.242559, 0.440334, -0.378086, 0.046645, 0.459618, -0.625218, 0.000000, 0.000000, 0.000000, 0.000000], [-0.209573, 0.342617, -0.496347, -0.139505, 0.170226, 0.737492, 0.000000, 0.000000, 0.000000, 0.000000], [-0.053272, 0.505793, 0.420400, 0.731278, -0.006284, 0.172603, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.888161, 2.242460, 2.354006, 2.466022, 57.306380], [94.014474, 97.900514, 99.848567, 108.622438, 446.330286], [59.295739, 61.120088, 62.634149, 69.840328, 262.914781], [27.646170, 28.688299, 29.943877, 31.495487, 170.450194], [24.047962, 24.623718, 25.820219, 27.558056, 160.172917], [6.676577, 6.686549, 6.803857, 8.016128, 104.636578]]
### 8
mean: [4.530825, 1.153967, -1.618681, 0.435025, 2.328919, -3.635919]
std: [4.421714, 1.533731, 1.682401, 0.207751, 2.826327, 3.844098]
pca: [[0.641303, 0.259241, 0.676596, -0.070064, -0.058427, -0.235414, 0.000000, 0.000000, 0.000000, 0.000000], [0.222441, 0.160357, -0.070342, -0.057725, -0.599552, 0.746366, 0.000000, 0.000000, 0.000000, 0.000000], [-0.243899, 0.817255, -0.241113, -0.210937, -0.240331, -0.334992, 0.000000, 0.000000, 0.000000, 0.000000], [0.030022, 0.287529, -0.017649, 0.954041, 0.059294, 0.049031, 0.000000, 0.000000, 0.000000, 0.000000], [0.409909, 0.308849, -0.353226, -0.172033, 0.692248, 0.320961, 0.000000, 0.000000, 0.000000, 0.000000], [-0.557527, 0.247211, 0.595025, -0.086456, 0.310873, 0.412163, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[78.733078, 82.073710, 83.941625, 89.894099, 407.774219], [27.289328, 28.444908, 29.077241, 31.170759, 103.857014], [30.203904, 31.522783, 32.429956, 34.316091, 145.681294], [3.607567, 3.756454, 3.778079, 4.169893, 39.152209], [50.284240, 52.413114, 53.575323, 57.438820, 209.602766], [68.582126, 71.508657, 73.236519, 78.216818, 327.232650]]
### 10
mean: [-2.762463]
std: [3.242931]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[57.463048, 60.649977, 61.940079, 65.058693, 248.621711]]
## 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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"sequence_length": 5, "num_layers": 5, "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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.408457, 0.019151, -0.068564, 0.263032, 0.202384], [0.878207, 0.620787, 0.575321, -0.201984, 0.172464], [0.564363, 0.542462, 0.183836, -0.119924, 0.00919], [0.530819, 0.109005, 0.232469, 0.486898, -0.463402], [-0.871483, -0.19815, 0.348625, 0.393311, 0.425299], [0.863167, -0.376011, 0.401018, 0.002726, -0.240928]], "network.0.bias": [-0.326296, 0.32371, 0.011216, 0.496171, -0.039978, 0.428153], "network.2.weight": [[0.186809, -0.07601, -0.570351, 0.051631, -0.263978, -0.082672], [-0.458401, 0.482683, 0.263512, 0.065958, -0.571124, 0.419652], [0.115276, -0.385107, -0.590594, 0.077017, 0.050895, -0.504732], [-0.027055, -0.021095, -0.030442, 0.698039, -0.428834, 0.50129], [-0.139445, -0.25033, -0.002955, -0.28963, -0.301084, -0.328017], [-0.090863, 0.351599, 0.004712, 0.487376, 0.217024, -0.295515]], "network.2.bias": [-0.370182, 0.028069, -0.470415, 0.134475, -0.118899, 0.195197], "network.4.weight": [[0.052553, 0.102493, -0.179719, 0.541936, -0.031544, -0.226725], [0.285334, 0.636914, 0.37695, 0.794307, 0.344516, 0.019321], [0.18034, 0.597134, -0.392282, 0.026354, 0.143664, -0.140769], [-0.383526, -0.289883, -0.078135, -0.293985, -0.041216, 0.542469], [-0.213283, 0.587803, -0.208354, 0.638923, -0.031272, -0.008293], [0.159925, -0.140965, -0.271941, -0.424524, 0.329536, 0.352537]], "network.4.bias": [0.191151, 0.189836, 0.036606, 0.109027, -0.045298, 0.416445], "network.6.weight": [[-0.278227, -0.156802, -0.209018, 0.039614, 0.347777, -0.263927], [0.736624, 0.499284, 0.801273, -0.237558, 0.595543, -0.182155], [0.451512, 0.247288, 0.262643, -0.552307, 0.511827, -0.381405], [0.058367, -0.612134, -0.113073, 0.146, 0.152296, -0.354245], [0.140102, -0.395196, -0.099739, 0.095925, -0.045777, -0.184284], [-0.242765, -0.210299, 0.011686, -0.13898, 0.142515, -0.424926]], "network.6.bias": [-0.402383, 0.146286, 0.335336, -0.093605, -0.327504, -0.383683], "network.8.weight": [[0.063181, 0.606699, 0.375796, 0.391355, -0.207444, -0.19103], [0.191378, 0.225534, 0.105604, 0.219526, 0.007683, -0.044255], [0.372127, -0.033294, -0.466562, -0.400134, -0.189378, 0.065394], [0.358544, 0.087724, -0.079646, 0.056279, -0.106842, -0.485906], [0.060386, 0.418546, 0.189791, -0.102753, -0.121617, 0.211056], [-0.119948, -0.425661, -0.493541, 0.103013, -0.139268, -0.334001]], "network.8.bias": [0.38801, -0.284226, -0.059092, 0.236279, -0.321586, -0.042538], "network.10.weight": [[-0.348544, -0.291374, -0.127138, 0.231488, -0.470394, 0.075457]], "network.10.bias": [0.177394]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7103888988494873, "train_acc": 0.41, "val_loss": 0.7089633345603943, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6632348597049713, "train_acc": 0.59, "val_loss": 0.7740710973739624, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6503573358058929, "train_acc": 0.59, "val_loss": 0.6951705813407898, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5596076548099518, "train_acc": 0.59, "val_loss": 0.6020114421844482, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.48540252447128296, "train_acc": 0.515, "val_loss": 0.5017734169960022, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4781837910413742, "train_acc": 0.82, "val_loss": 0.45654523372650146, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.44327814877033234, "train_acc": 0.8, "val_loss": 0.42023807764053345, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3722408413887024, "train_acc": 0.855, "val_loss": 0.8492246866226196, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3954658657312393, "train_acc": 0.855, "val_loss": 0.390898734331131, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.35791896283626556, "train_acc": 0.84, "val_loss": 0.3797740638256073, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.41056308150291443, "train_acc": 0.81, "val_loss": 0.3613981604576111, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4256424307823181, "train_acc": 0.815, "val_loss": 0.3966462314128876, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.32611308991909027, "train_acc": 0.865, "val_loss": 1.1181519031524658, "val_acc": 0.7}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.5415407866239548, "train_acc": 0.81, "val_loss": 0.40505072474479675, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7089633345603943, "final_val_loss": 0.6020114421844482, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5017734169960022, "final_val_loss": 0.40505072474479675, "initial_val_acc": 0.86, "final_val_acc": 0.84, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.42, "first_improvement_epoch": 3}}
|
9,970
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6534, "learning_rate": 0.07822514670240155, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.301148,
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0.000265,
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0.096663,
0.015631,
0.34516
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0.496122,
0.22667,
0.657569,
0.389714,
-0.011226,
0.466892
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[
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0.036434,
0.093591,
-0.309183,
-0.347874,
-0.28597,
-0.266877,
-0.179441
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],
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0.347622,
-0.084846,
-0.616807,
0.438716,
0.151804,
0.336837,
0.021684,
-0.238908
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## Activation Signature
### 0
mean: [-0.858865, -1.281691, 1.677889, -1.802311, -1.868998, -0.437486, 0.799295, 2.370423]
std: [0.988220, 1.459398, 1.115905, 2.505647, 1.725821, 1.289009, 1.288607, 2.373118]
pca: [[-0.068454, 0.427720, -0.270348, -0.226193, -0.429625, -0.162090, -0.408513, 0.557122, 0.000000, 0.000000], [-0.217107, 0.583664, -0.177888, 0.044837, 0.645492, 0.384212, -0.117812, -0.019723, 0.000000, 0.000000], [0.112028, -0.335474, -0.143307, 0.632345, 0.340553, -0.180553, -0.219349, 0.507760, 0.000000, 0.000000], [-0.587011, -0.405664, -0.392101, -0.225419, -0.011103, 0.272445, 0.357350, 0.290256, 0.000000, 0.000000], [-0.359945, 0.031278, 0.705425, 0.264443, -0.240104, 0.420951, -0.126744, 0.225817, 0.000000, 0.000000], [-0.178772, 0.406366, -0.192001, 0.579593, -0.312133, -0.191052, 0.535845, -0.095174, 0.000000, 0.000000], [0.277977, 0.181192, 0.351092, -0.278308, 0.256582, -0.152404, 0.570387, 0.524189, 0.000000, 0.000000], [0.593511, -0.018554, -0.251463, 0.113309, -0.248500, 0.694518, 0.122016, 0.111052, 0.000000, 0.000000]]
fourier: [[15.653458, 16.337139, 19.382039, 22.556550, 77.297832], [22.568709, 25.505498, 25.599918, 25.948810, 115.352188], [18.077372, 19.456948, 20.007925, 21.993916, 151.010028], [39.340502, 41.176498, 42.336349, 48.046839, 162.207963], [27.247229, 27.883543, 31.610340, 33.035895, 168.209846], [19.737433, 19.869498, 19.879227, 19.996326, 39.373761], [21.749046, 21.889437, 22.845373, 25.059214, 71.936555], [35.362608, 40.186781, 44.075884, 44.837595, 213.338103]]
### 2
mean: [-0.778183, -1.015990, 1.631985, -1.489270, -1.741242, -1.133749, 0.706551, 2.071164]
std: [0.957433, 1.863812, 1.663505, 1.026726, 1.422458, 0.799193, 1.178112, 1.952937]
pca: [[-0.191993, 0.658608, -0.075028, -0.019395, 0.295745, -0.116848, 0.578342, 0.296262, 0.000000, 0.000000], [-0.469731, -0.430089, -0.461912, 0.136980, 0.011057, 0.499616, 0.315600, 0.113614, 0.000000, 0.000000], [0.426502, -0.259100, 0.164851, 0.158335, 0.565907, 0.195180, -0.082470, 0.577556, 0.000000, 0.000000], [-0.237681, -0.282609, 0.729218, 0.116062, -0.337495, -0.106048, 0.375324, 0.228897, 0.000000, 0.000000], [-0.357844, 0.375161, 0.172036, -0.139036, -0.205193, 0.438051, -0.538646, 0.397672, 0.000000, 0.000000], [-0.192427, -0.053611, 0.385429, -0.491031, 0.510624, 0.314318, 0.065908, -0.454483, 0.000000, 0.000000], [0.290942, 0.300951, 0.187523, 0.585209, -0.103332, 0.539232, 0.141255, -0.354606, 0.000000, 0.000000], [0.504349, 0.008190, -0.093579, -0.582588, -0.405883, 0.325475, 0.322198, 0.151370, 0.000000, 0.000000]]
fourier: [[15.393423, 15.762765, 18.596262, 19.272297, 70.036514], [29.903376, 31.417907, 31.537067, 34.247431, 91.439138], [27.155051, 28.844982, 30.797069, 32.353387, 146.878632], [16.310399, 18.277009, 18.660076, 20.053597, 134.034267], [22.042156, 25.363553, 25.815498, 26.613670, 156.711783], [12.816425, 15.056041, 15.960166, 16.379588, 102.037448], [20.765822, 20.990997, 21.207541, 22.522307, 63.589575], [32.714113, 33.028788, 34.073082, 34.089823, 186.404757]]
### 4
mean: [-0.625484, -0.417405, -1.713723, -0.370095, -0.521407, 1.224225, 1.582425, -0.527361]
std: [1.435611, 0.670811, 0.831745, 1.069848, 1.120681, 0.983372, 1.819086, 0.522635]
pca: [[-0.453844, -0.311668, -0.049636, -0.323199, -0.005727, -0.382006, 0.436120, -0.503790, 0.000000, 0.000000], [-0.204887, -0.385477, -0.030364, 0.175836, 0.152501, -0.295993, 0.270758, 0.770331, 0.000000, 0.000000], [-0.241870, 0.696381, 0.262064, 0.025319, 0.320407, 0.121158, 0.511283, 0.092109, 0.000000, 0.000000], [-0.338592, -0.141097, 0.484312, -0.314994, -0.538337, 0.444642, -0.006481, 0.210030, 0.000000, 0.000000], [-0.354788, -0.170171, -0.238000, -0.314495, 0.627263, 0.449102, -0.304936, 0.038452, 0.000000, 0.000000], [0.311315, -0.139101, -0.512380, -0.067387, -0.165168, 0.498687, 0.583026, 0.027770, 0.000000, 0.000000], [0.576142, -0.294140, 0.548258, -0.322342, 0.380383, -0.000017, 0.176243, -0.036019, 0.000000, 0.000000], [-0.155467, -0.338511, 0.271319, 0.746598, 0.137159, 0.322012, 0.105219, -0.310872, 0.000000, 0.000000]]
fourier: [[24.200089, 24.314539, 25.326749, 26.373681, 56.293566], [11.844606, 12.047383, 12.061205, 12.315735, 37.566430], [13.043055, 13.312252, 14.497753, 15.367893, 154.235061], [17.940953, 17.944229, 18.705662, 19.947594, 33.308545], [18.526532, 18.935655, 19.870219, 20.583862, 46.926649], [16.552670, 16.619848, 16.961320, 17.121447, 110.180277], [30.543638, 31.700008, 32.390894, 32.429349, 142.418264], [9.192836, 9.840073, 9.933321, 10.117627, 47.462461]]
### 6
mean: [0.709700, 1.373806, -0.735770, 1.448911, 1.652594, 1.541241, 0.070105, -0.392805]
std: [1.140227, 1.709267, 1.136275, 1.817786, 2.160927, 1.741161, 0.659915, 0.612669]
pca: [[0.273716, -0.235376, 0.745938, 0.365592, -0.149259, 0.045719, -0.036690, 0.392278, 0.000000, 0.000000], [0.411062, 0.206715, 0.083515, -0.442680, -0.220997, -0.568060, 0.447889, 0.114979, 0.000000, 0.000000], [-0.273157, 0.143204, -0.125149, 0.610649, -0.158903, -0.036608, 0.698329, -0.045485, 0.000000, 0.000000], [0.437030, 0.320958, 0.132913, -0.121860, 0.338979, 0.646644, 0.335695, -0.166518, 0.000000, 0.000000], [0.519733, 0.217422, -0.364443, 0.314566, -0.575380, 0.114787, -0.312696, -0.093901, 0.000000, 0.000000], [0.418801, -0.142981, -0.181754, 0.403620, 0.637709, -0.424530, -0.077580, -0.123695, 0.000000, 0.000000], [0.156534, -0.489180, -0.482010, -0.107345, 0.026853, 0.242322, 0.228041, 0.617170, 0.000000, 0.000000], [-0.143102, 0.686536, -0.071321, 0.096179, 0.224205, -0.060060, -0.204681, 0.630938, 0.000000, 0.000000]]
fourier: [[18.366811, 19.588240, 19.612856, 21.036301, 63.872995], [28.025145, 29.525203, 29.809770, 30.723754, 123.642550], [18.581539, 19.689987, 19.842783, 20.972667, 66.219282], [29.691711, 31.149108, 31.679303, 32.689680, 130.401991], [35.058659, 37.238892, 38.161945, 38.481121, 148.733482], [27.990725, 29.770520, 30.783363, 31.387162, 138.711740], [10.117926, 10.227121, 11.361889, 11.955897, 12.079584], [9.741427, 10.493258, 10.655011, 11.510847, 35.352449]]
### 8
mean: [-0.762915, 0.137810, -1.600263, -2.133199, 4.454919, -0.208327, -0.571295, -1.764875]
std: [1.096830, 0.207741, 2.094474, 2.694814, 5.715963, 0.232957, 0.941960, 1.327599]
pca: [[-0.157361, -0.452503, -0.261943, 0.348356, -0.435869, 0.570383, -0.239607, 0.088224, 0.000000, 0.000000], [-0.029786, 0.058633, -0.347017, 0.317378, -0.255585, -0.139037, 0.794900, -0.240843, 0.000000, 0.000000], [-0.301470, -0.293142, 0.251092, 0.008698, -0.242893, -0.425656, 0.175788, 0.699271, 0.000000, 0.000000], [-0.387956, 0.248609, 0.702878, 0.340688, 0.066117, 0.351674, 0.181831, -0.128336, 0.000000, 0.000000], [0.823079, 0.055293, 0.255088, 0.407351, -0.076314, 0.056942, 0.045181, 0.278158, 0.000000, 0.000000], [-0.032361, -0.292212, -0.195279, 0.094677, 0.781024, 0.283442, 0.289926, 0.303434, 0.000000, 0.000000], [-0.135544, -0.161387, -0.056001, 0.658341, 0.255882, -0.511819, -0.362196, -0.245789, 0.000000, 0.000000], [-0.189944, 0.727719, -0.384111, 0.231223, 0.005297, 0.070248, -0.171682, 0.445987, 0.000000, 0.000000]]
fourier: [[17.806531, 18.439090, 19.202281, 19.964713, 68.662331], [3.430872, 3.480642, 3.590389, 3.599656, 12.402905], [34.123973, 35.237001, 36.828167, 37.653125, 144.023668], [44.743406, 44.821892, 47.385332, 47.741795, 191.987951], [94.866566, 95.131252, 100.160130, 102.092525, 400.942739], [3.616586, 3.892400, 4.065835, 4.235840, 18.749463], [15.244845, 15.692532, 16.557568, 16.936320, 51.416532], [22.355991, 22.814603, 22.817037, 23.245283, 158.838801]]
### 10
mean: [-0.932804, 1.851974, -1.100095, 0.526136, 3.450991, -1.051502, -0.422261, -0.426230]
std: [1.139772, 2.630724, 1.769561, 0.664209, 4.090226, 1.093816, 0.512233, 0.571212]
pca: [[-0.206932, 0.314389, 0.043783, 0.658205, -0.068610, 0.467761, -0.249458, -0.370744, 0.000000, 0.000000], [0.477969, 0.318843, -0.456723, -0.152425, -0.076410, 0.301991, -0.447431, 0.375266, 0.000000, 0.000000], [-0.321428, -0.328760, -0.305219, -0.520785, 0.109007, 0.510401, -0.082244, -0.380880, 0.000000, 0.000000], [0.120542, 0.214516, -0.163579, -0.017896, 0.733150, -0.392069, -0.262416, -0.390237, 0.000000, 0.000000], [0.743289, -0.103964, 0.348466, -0.055821, 0.058080, 0.313229, 0.279149, -0.364360, 0.000000, 0.000000], [-0.197855, 0.677047, 0.041030, -0.240007, 0.241449, 0.238302, 0.553675, 0.146744, 0.000000, 0.000000], [-0.092427, 0.347046, 0.551322, -0.457612, -0.309490, -0.125911, -0.455355, -0.196634, 0.000000, 0.000000], [-0.103492, -0.236129, 0.492446, 0.043204, 0.531609, 0.324069, -0.264804, 0.481054, 0.000000, 0.000000]]
fourier: [[18.720080, 19.164376, 20.188923, 20.234580, 83.952385], [43.565688, 43.693347, 46.155930, 47.208713, 166.677652], [28.994398, 29.681994, 30.840967, 31.586010, 99.008571], [10.890972, 11.057485, 11.621801, 11.947378, 47.352254], [67.870711, 67.988354, 71.810177, 72.810670, 310.589224], [17.867438, 18.767119, 19.244257, 19.305322, 94.635211], [8.311184, 9.040225, 9.069198, 9.190306, 38.003475], [9.413955, 9.459797, 9.982144, 10.448841, 38.360690]]
### 12
mean: [-3.035951]
std: [3.583394]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.740865, 60.531568, 63.132608, 63.421309, 273.235618]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.028843,
0.110629,
-0.075885,
-0.494297
],
[
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0.306173,
-0.196952,
-0.47452
],
[
-0.033682,
0.027375,
0.27337,
0.180003,
0.409564
],
[
-0.774506,
-0.564001,
-0.392138,
0.302929,
0.111496
],
[
-0.507828,
-0.086361,
-0.275761,
-0.538912,
0.363696
],
[
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0.003253,
0.415873,
-0.266855,
-0.156781
],
[
0.573798,
0.161778,
-0.034686,
-0.136519,
-0.119197
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## Activation Signature
### 0
mean: [-0.858865, -1.281691, 1.677889, -1.802311, -1.868998, -0.437486, 0.799295, 2.370423]
std: [0.988220, 1.459398, 1.115905, 2.505647, 1.725821, 1.289009, 1.288607, 2.373118]
pca: [[-0.068454, 0.427720, -0.270348, -0.226193, -0.429625, -0.162090, -0.408513, 0.557122, 0.000000, 0.000000], [-0.217107, 0.583664, -0.177888, 0.044837, 0.645492, 0.384212, -0.117812, -0.019723, 0.000000, 0.000000], [0.112028, -0.335474, -0.143307, 0.632345, 0.340553, -0.180553, -0.219349, 0.507760, 0.000000, 0.000000], [-0.587011, -0.405664, -0.392101, -0.225419, -0.011103, 0.272445, 0.357350, 0.290256, 0.000000, 0.000000], [-0.359945, 0.031278, 0.705425, 0.264443, -0.240104, 0.420951, -0.126744, 0.225817, 0.000000, 0.000000], [-0.178772, 0.406366, -0.192001, 0.579593, -0.312133, -0.191052, 0.535845, -0.095174, 0.000000, 0.000000], [0.277977, 0.181192, 0.351092, -0.278308, 0.256582, -0.152404, 0.570387, 0.524189, 0.000000, 0.000000], [0.593511, -0.018554, -0.251463, 0.113309, -0.248500, 0.694518, 0.122016, 0.111052, 0.000000, 0.000000]]
fourier: [[15.653458, 16.337139, 19.382039, 22.556550, 77.297832], [22.568709, 25.505498, 25.599918, 25.948810, 115.352188], [18.077372, 19.456948, 20.007925, 21.993916, 151.010028], [39.340502, 41.176498, 42.336349, 48.046839, 162.207963], [27.247229, 27.883543, 31.610340, 33.035895, 168.209846], [19.737433, 19.869498, 19.879227, 19.996326, 39.373761], [21.749046, 21.889437, 22.845373, 25.059214, 71.936555], [35.362608, 40.186781, 44.075884, 44.837595, 213.338103]]
### 2
mean: [-0.778183, -1.015990, 1.631985, -1.489270, -1.741242, -1.133749, 0.706551, 2.071164]
std: [0.957433, 1.863812, 1.663505, 1.026726, 1.422458, 0.799193, 1.178112, 1.952937]
pca: [[-0.191993, 0.658608, -0.075028, -0.019395, 0.295745, -0.116848, 0.578342, 0.296262, 0.000000, 0.000000], [-0.469731, -0.430089, -0.461912, 0.136980, 0.011057, 0.499616, 0.315600, 0.113614, 0.000000, 0.000000], [0.426502, -0.259100, 0.164851, 0.158335, 0.565907, 0.195180, -0.082470, 0.577556, 0.000000, 0.000000], [-0.237681, -0.282609, 0.729218, 0.116062, -0.337495, -0.106048, 0.375324, 0.228897, 0.000000, 0.000000], [-0.357844, 0.375161, 0.172036, -0.139036, -0.205193, 0.438051, -0.538646, 0.397672, 0.000000, 0.000000], [-0.192427, -0.053611, 0.385429, -0.491031, 0.510624, 0.314318, 0.065908, -0.454483, 0.000000, 0.000000], [0.290942, 0.300951, 0.187523, 0.585209, -0.103332, 0.539232, 0.141255, -0.354606, 0.000000, 0.000000], [0.504349, 0.008190, -0.093579, -0.582588, -0.405883, 0.325475, 0.322198, 0.151370, 0.000000, 0.000000]]
fourier: [[15.393423, 15.762765, 18.596262, 19.272297, 70.036514], [29.903376, 31.417907, 31.537067, 34.247431, 91.439138], [27.155051, 28.844982, 30.797069, 32.353387, 146.878632], [16.310399, 18.277009, 18.660076, 20.053597, 134.034267], [22.042156, 25.363553, 25.815498, 26.613670, 156.711783], [12.816425, 15.056041, 15.960166, 16.379588, 102.037448], [20.765822, 20.990997, 21.207541, 22.522307, 63.589575], [32.714113, 33.028788, 34.073082, 34.089823, 186.404757]]
### 4
mean: [-0.625484, -0.417405, -1.713723, -0.370095, -0.521407, 1.224225, 1.582425, -0.527361]
std: [1.435611, 0.670811, 0.831745, 1.069848, 1.120681, 0.983372, 1.819086, 0.522635]
pca: [[-0.453844, -0.311668, -0.049636, -0.323199, -0.005727, -0.382006, 0.436120, -0.503790, 0.000000, 0.000000], [-0.204887, -0.385477, -0.030364, 0.175836, 0.152501, -0.295993, 0.270758, 0.770331, 0.000000, 0.000000], [-0.241870, 0.696381, 0.262064, 0.025319, 0.320407, 0.121158, 0.511283, 0.092109, 0.000000, 0.000000], [-0.338592, -0.141097, 0.484312, -0.314994, -0.538337, 0.444642, -0.006481, 0.210030, 0.000000, 0.000000], [-0.354788, -0.170171, -0.238000, -0.314495, 0.627263, 0.449102, -0.304936, 0.038452, 0.000000, 0.000000], [0.311315, -0.139101, -0.512380, -0.067387, -0.165168, 0.498687, 0.583026, 0.027770, 0.000000, 0.000000], [0.576142, -0.294140, 0.548258, -0.322342, 0.380383, -0.000017, 0.176243, -0.036019, 0.000000, 0.000000], [-0.155467, -0.338511, 0.271319, 0.746598, 0.137159, 0.322012, 0.105219, -0.310872, 0.000000, 0.000000]]
fourier: [[24.200089, 24.314539, 25.326749, 26.373681, 56.293566], [11.844606, 12.047383, 12.061205, 12.315735, 37.566430], [13.043055, 13.312252, 14.497753, 15.367893, 154.235061], [17.940953, 17.944229, 18.705662, 19.947594, 33.308545], [18.526532, 18.935655, 19.870219, 20.583862, 46.926649], [16.552670, 16.619848, 16.961320, 17.121447, 110.180277], [30.543638, 31.700008, 32.390894, 32.429349, 142.418264], [9.192836, 9.840073, 9.933321, 10.117627, 47.462461]]
### 6
mean: [0.709700, 1.373806, -0.735770, 1.448911, 1.652594, 1.541241, 0.070105, -0.392805]
std: [1.140227, 1.709267, 1.136275, 1.817786, 2.160927, 1.741161, 0.659915, 0.612669]
pca: [[0.273716, -0.235376, 0.745938, 0.365592, -0.149259, 0.045719, -0.036690, 0.392278, 0.000000, 0.000000], [0.411062, 0.206715, 0.083515, -0.442680, -0.220997, -0.568060, 0.447889, 0.114979, 0.000000, 0.000000], [-0.273157, 0.143204, -0.125149, 0.610649, -0.158903, -0.036608, 0.698329, -0.045485, 0.000000, 0.000000], [0.437030, 0.320958, 0.132913, -0.121860, 0.338979, 0.646644, 0.335695, -0.166518, 0.000000, 0.000000], [0.519733, 0.217422, -0.364443, 0.314566, -0.575380, 0.114787, -0.312696, -0.093901, 0.000000, 0.000000], [0.418801, -0.142981, -0.181754, 0.403620, 0.637709, -0.424530, -0.077580, -0.123695, 0.000000, 0.000000], [0.156534, -0.489180, -0.482010, -0.107345, 0.026853, 0.242322, 0.228041, 0.617170, 0.000000, 0.000000], [-0.143102, 0.686536, -0.071321, 0.096179, 0.224205, -0.060060, -0.204681, 0.630938, 0.000000, 0.000000]]
fourier: [[18.366811, 19.588240, 19.612856, 21.036301, 63.872995], [28.025145, 29.525203, 29.809770, 30.723754, 123.642550], [18.581539, 19.689987, 19.842783, 20.972667, 66.219282], [29.691711, 31.149108, 31.679303, 32.689680, 130.401991], [35.058659, 37.238892, 38.161945, 38.481121, 148.733482], [27.990725, 29.770520, 30.783363, 31.387162, 138.711740], [10.117926, 10.227121, 11.361889, 11.955897, 12.079584], [9.741427, 10.493258, 10.655011, 11.510847, 35.352449]]
### 8
mean: [-0.762915, 0.137810, -1.600263, -2.133199, 4.454919, -0.208327, -0.571295, -1.764875]
std: [1.096830, 0.207741, 2.094474, 2.694814, 5.715963, 0.232957, 0.941960, 1.327599]
pca: [[-0.157361, -0.452503, -0.261943, 0.348356, -0.435869, 0.570383, -0.239607, 0.088224, 0.000000, 0.000000], [-0.029786, 0.058633, -0.347017, 0.317378, -0.255585, -0.139037, 0.794900, -0.240843, 0.000000, 0.000000], [-0.301470, -0.293142, 0.251092, 0.008698, -0.242893, -0.425656, 0.175788, 0.699271, 0.000000, 0.000000], [-0.387956, 0.248609, 0.702878, 0.340688, 0.066117, 0.351674, 0.181831, -0.128336, 0.000000, 0.000000], [0.823079, 0.055293, 0.255088, 0.407351, -0.076314, 0.056942, 0.045181, 0.278158, 0.000000, 0.000000], [-0.032361, -0.292212, -0.195279, 0.094677, 0.781024, 0.283442, 0.289926, 0.303434, 0.000000, 0.000000], [-0.135544, -0.161387, -0.056001, 0.658341, 0.255882, -0.511819, -0.362196, -0.245789, 0.000000, 0.000000], [-0.189944, 0.727719, -0.384111, 0.231223, 0.005297, 0.070248, -0.171682, 0.445987, 0.000000, 0.000000]]
fourier: [[17.806531, 18.439090, 19.202281, 19.964713, 68.662331], [3.430872, 3.480642, 3.590389, 3.599656, 12.402905], [34.123973, 35.237001, 36.828167, 37.653125, 144.023668], [44.743406, 44.821892, 47.385332, 47.741795, 191.987951], [94.866566, 95.131252, 100.160130, 102.092525, 400.942739], [3.616586, 3.892400, 4.065835, 4.235840, 18.749463], [15.244845, 15.692532, 16.557568, 16.936320, 51.416532], [22.355991, 22.814603, 22.817037, 23.245283, 158.838801]]
### 10
mean: [-0.932804, 1.851974, -1.100095, 0.526136, 3.450991, -1.051502, -0.422261, -0.426230]
std: [1.139772, 2.630724, 1.769561, 0.664209, 4.090226, 1.093816, 0.512233, 0.571212]
pca: [[-0.206932, 0.314389, 0.043783, 0.658205, -0.068610, 0.467761, -0.249458, -0.370744, 0.000000, 0.000000], [0.477969, 0.318843, -0.456723, -0.152425, -0.076410, 0.301991, -0.447431, 0.375266, 0.000000, 0.000000], [-0.321428, -0.328760, -0.305219, -0.520785, 0.109007, 0.510401, -0.082244, -0.380880, 0.000000, 0.000000], [0.120542, 0.214516, -0.163579, -0.017896, 0.733150, -0.392069, -0.262416, -0.390237, 0.000000, 0.000000], [0.743289, -0.103964, 0.348466, -0.055821, 0.058080, 0.313229, 0.279149, -0.364360, 0.000000, 0.000000], [-0.197855, 0.677047, 0.041030, -0.240007, 0.241449, 0.238302, 0.553675, 0.146744, 0.000000, 0.000000], [-0.092427, 0.347046, 0.551322, -0.457612, -0.309490, -0.125911, -0.455355, -0.196634, 0.000000, 0.000000], [-0.103492, -0.236129, 0.492446, 0.043204, 0.531609, 0.324069, -0.264804, 0.481054, 0.000000, 0.000000]]
fourier: [[18.720080, 19.164376, 20.188923, 20.234580, 83.952385], [43.565688, 43.693347, 46.155930, 47.208713, 166.677652], [28.994398, 29.681994, 30.840967, 31.586010, 99.008571], [10.890972, 11.057485, 11.621801, 11.947378, 47.352254], [67.870711, 67.988354, 71.810177, 72.810670, 310.589224], [17.867438, 18.767119, 19.244257, 19.305322, 94.635211], [8.311184, 9.040225, 9.069198, 9.190306, 38.003475], [9.413955, 9.459797, 9.982144, 10.448841, 38.360690]]
### 12
mean: [-3.035951]
std: [3.583394]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[58.740865, 60.531568, 63.132608, 63.421309, 273.235618]]
## 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": 0.6791767179965973, "train_acc": 0.565, "val_loss": 0.7442772388458252, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6826232373714447, "train_acc": 0.565, "val_loss": 0.6403517127037048, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6544061303138733, "train_acc": 0.53, "val_loss": 0.43870294094085693, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4551497846841812, "train_acc": 0.775, "val_loss": 0.34220829606056213, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.35367153584957123, "train_acc": 0.925, "val_loss": 0.2652311623096466, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3006688356399536, "train_acc": 0.925, "val_loss": 0.19546794891357422, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2464839667081833, "train_acc": 0.915, "val_loss": 0.1447955071926117, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.28358351439237595, "train_acc": 0.89, "val_loss": 0.15004312992095947, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.24916481226682663, "train_acc": 0.905, "val_loss": 9.071471214294434, "val_acc": 0.52}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 4.060554385185242, "train_acc": 0.705, "val_loss": 0.31131789088249207, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7442772388458252, "final_val_loss": 0.6403517127037048, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.43870294094085693, "final_val_loss": 0.31131789088249207, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.98, "best_epoch": 3}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
9,971
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2479, "learning_rate": 0.0780621217466291, "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.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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],
[
0.157569,
-0.061792,
0.216594,
-0.074886,
-0.167273
],
[
-0.121081,
0.054803,
0.377533,
-0.555317,
0.116013
],
[
0.191829,
-0.218674,
-0.167694,
-0.581156,
0.309909
],
[
0.384385,
0.113697,
0.116739,
0.517136,
0.520657
]
],
"network.6.bias": [
-0.18681,
-0.399157,
-0.428639,
-0.011381,
-0.314999
],
"network.8.weight": [
[
-0.556401,
0.033205,
-0.105501,
-0.428125,
-0.367601
]
],
"network.8.bias": [
0.543612
]
}
## Activation Signature
### 0
mean: [1.228203, -0.013583, 1.392525, -0.395424, 0.352353]
std: [2.075950, 1.302610, 2.191966, 1.495049, 1.972053]
pca: [[0.547673, -0.158279, -0.300844, -0.416551, 0.641077, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070958, 0.791686, 0.432880, -0.361048, 0.224628, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.554511, 0.418740, -0.406718, -0.046294, -0.591279, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342607, -0.404756, 0.635320, -0.422870, -0.369247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.519766, 0.094923, 0.391225, 0.717752, 0.229364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.587258, 33.045334, 39.264468, 39.533954, 110.538297], [19.236526, 19.988371, 20.265883, 20.384225, 22.752627], [33.626005, 39.063770, 42.474687, 49.418305, 125.327233], [23.064757, 23.126077, 24.142989, 26.033996, 35.588124], [31.696041, 31.711735, 32.804117, 32.820432, 40.458684]]
### 2
mean: [2.003352, 0.382949, -1.114585, 1.355413, 2.816470]
std: [2.776103, 0.749601, 0.924382, 2.365604, 3.225286]
pca: [[0.554614, 0.546620, -0.325605, -0.071992, -0.531421, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.126494, 0.559027, 0.712772, -0.264109, 0.306089, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176606, 0.413714, -0.025151, 0.882163, 0.137137, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476388, 0.001738, -0.428808, -0.036856, 0.766693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.646737, -0.466404, 0.448808, 0.381436, -0.131442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.659974, 49.148582, 51.394251, 63.785537, 180.301712], [12.574495, 12.691909, 16.752544, 16.913540, 34.465371], [14.135266, 14.978934, 18.786179, 19.503589, 100.312647], [35.992077, 41.137158, 46.123031, 53.348384, 121.987141], [49.646212, 53.538755, 64.636405, 71.975640, 253.482279]]
### 4
mean: [2.515461, -1.064591, -2.394187, 1.814797, 3.476079]
std: [3.984094, 0.626051, 2.853842, 2.178154, 5.211596]
pca: [[0.531694, 0.012007, 0.209607, -0.413889, 0.708462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080487, 0.414028, 0.355143, 0.741815, 0.381688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380050, 0.413139, 0.645008, -0.480996, -0.193613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287594, 0.808025, -0.477743, -0.112014, -0.153625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.695467, -0.069637, 0.430888, 0.185746, -0.539731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.707978, 68.539641, 78.444069, 90.254288, 226.391525], [10.758574, 11.189967, 12.452246, 14.566698, 95.813180], [48.500109, 49.818776, 54.610469, 65.311739, 215.476807], [31.912724, 35.336864, 44.530005, 47.952848, 163.331698], [82.114222, 89.900359, 102.318534, 118.106890, 312.847086]]
### 6
mean: [4.535565, -0.718136, -1.341138, 0.572279, 3.542753]
std: [6.660336, 0.407096, 1.087269, 1.088707, 5.257432]
pca: [[0.771881, 0.223493, 0.196971, -0.144456, -0.542758, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.047135, 0.047213, 0.850625, 0.505962, 0.126443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124437, 0.583350, -0.390734, 0.654008, -0.252624, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.123798, 0.716851, 0.080997, -0.339205, 0.590913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609236, -0.306021, -0.280010, 0.424674, 0.525765, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[102.035882, 114.636549, 132.566183, 150.557942, 408.200875], [6.218170, 6.959764, 8.111592, 9.133778, 64.632278], [16.055070, 17.415113, 22.324868, 23.835335, 120.702412], [17.756829, 19.538394, 20.293109, 24.909514, 51.505146], [79.611321, 89.699251, 105.302624, 118.403034, 318.847773]]
### 8
mean: [-3.628274]
std: [6.026455]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.522328, 103.314920, 120.264450, 136.291123, 326.544677]]
## 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:
{
"network.0.weight": [
[
0.387727,
-0.383888,
-0.154208,
0.513813,
0.811761
],
[
0.46369,
0.256017,
-0.176491,
-0.298288,
-0.241227
],
[
0.762263,
-0.28576,
-0.074683,
0.370255,
0.690075
],
[
0.109474,
-0.473449,
-0.222749,
0.229875,
0.61128
],
[
0.645481,
-0.544762,
-0.248735,
0.409144,
0.625767
]
],
"network.0.bias": [
-0.335666,
0.248707,
-0.524427,
-0.450495,
-0.587819
],
"network.2.weight": [
[
0.219159,
0.464675,
0.640719,
-0.037952,
0.774538
],
[
-0.054557,
0.43007,
0.341723,
0.260997,
-0.138092
],
[
-0.274693,
0.141701,
-0.266793,
-0.248466,
0.187603
],
[
0.271302,
0.149683,
0.472717,
0.079166,
0.646003
],
[
0.7072,
0.372043,
0.413609,
0.640152,
0.492007
]
],
"network.2.bias": [
-0.291052,
-0.269387,
-0.423354,
-0.518798,
0.210493
],
"network.4.weight": [
[
0.391577,
0.1162,
0.053797,
0.523301,
0.527767
],
[
-0.268732,
-0.256415,
0.144109,
0.34869,
-0.159009
],
[
-0.637515,
-0.241868,
0.199518,
0.42068,
-0.60061
],
[
-0.263648,
-0.10357,
-0.345283,
0.493608,
0.569058
],
[
0.627613,
0.087512,
-0.230973,
0.642104,
0.633818
]
],
"network.4.bias": [
-0.636577,
-0.47502,
0.083361,
0.048844,
-0.630531
],
"network.6.weight": [
[
0.679952,
0.20169,
0.178983,
0.1088,
0.744682
],
[
0.157569,
-0.061792,
0.216594,
-0.074886,
-0.167273
],
[
-0.121081,
0.054803,
0.377533,
-0.555317,
0.116013
],
[
0.191829,
-0.218674,
-0.167694,
-0.581156,
0.309909
],
[
0.384385,
0.113697,
0.116739,
0.517136,
0.520657
]
],
"network.6.bias": [
-0.18681,
-0.399157,
-0.428639,
-0.011381,
-0.314999
],
"network.8.weight": [
[
-0.556401,
0.033205,
-0.105501,
-0.428125,
-0.367601
]
],
"network.8.bias": [
0.543612
]
}
## Activation Signature
### 0
mean: [1.228203, -0.013583, 1.392525, -0.395424, 0.352353]
std: [2.075950, 1.302610, 2.191966, 1.495049, 1.972053]
pca: [[0.547673, -0.158279, -0.300844, -0.416551, 0.641077, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070958, 0.791686, 0.432880, -0.361048, 0.224628, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.554511, 0.418740, -0.406718, -0.046294, -0.591279, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.342607, -0.404756, 0.635320, -0.422870, -0.369247, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.519766, 0.094923, 0.391225, 0.717752, 0.229364, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.587258, 33.045334, 39.264468, 39.533954, 110.538297], [19.236526, 19.988371, 20.265883, 20.384225, 22.752627], [33.626005, 39.063770, 42.474687, 49.418305, 125.327233], [23.064757, 23.126077, 24.142989, 26.033996, 35.588124], [31.696041, 31.711735, 32.804117, 32.820432, 40.458684]]
### 2
mean: [2.003352, 0.382949, -1.114585, 1.355413, 2.816470]
std: [2.776103, 0.749601, 0.924382, 2.365604, 3.225286]
pca: [[0.554614, 0.546620, -0.325605, -0.071992, -0.531421, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.126494, 0.559027, 0.712772, -0.264109, 0.306089, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.176606, 0.413714, -0.025151, 0.882163, 0.137137, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.476388, 0.001738, -0.428808, -0.036856, 0.766693, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.646737, -0.466404, 0.448808, 0.381436, -0.131442, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.659974, 49.148582, 51.394251, 63.785537, 180.301712], [12.574495, 12.691909, 16.752544, 16.913540, 34.465371], [14.135266, 14.978934, 18.786179, 19.503589, 100.312647], [35.992077, 41.137158, 46.123031, 53.348384, 121.987141], [49.646212, 53.538755, 64.636405, 71.975640, 253.482279]]
### 4
mean: [2.515461, -1.064591, -2.394187, 1.814797, 3.476079]
std: [3.984094, 0.626051, 2.853842, 2.178154, 5.211596]
pca: [[0.531694, 0.012007, 0.209607, -0.413889, 0.708462, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.080487, 0.414028, 0.355143, 0.741815, 0.381688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380050, 0.413139, 0.645008, -0.480996, -0.193613, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.287594, 0.808025, -0.477743, -0.112014, -0.153625, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.695467, -0.069637, 0.430888, 0.185746, -0.539731, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[62.707978, 68.539641, 78.444069, 90.254288, 226.391525], [10.758574, 11.189967, 12.452246, 14.566698, 95.813180], [48.500109, 49.818776, 54.610469, 65.311739, 215.476807], [31.912724, 35.336864, 44.530005, 47.952848, 163.331698], [82.114222, 89.900359, 102.318534, 118.106890, 312.847086]]
### 6
mean: [4.535565, -0.718136, -1.341138, 0.572279, 3.542753]
std: [6.660336, 0.407096, 1.087269, 1.088707, 5.257432]
pca: [[0.771881, 0.223493, 0.196971, -0.144456, -0.542758, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.047135, 0.047213, 0.850625, 0.505962, 0.126443, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.124437, 0.583350, -0.390734, 0.654008, -0.252624, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.123798, 0.716851, 0.080997, -0.339205, 0.590913, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.609236, -0.306021, -0.280010, 0.424674, 0.525765, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[102.035882, 114.636549, 132.566183, 150.557942, 408.200875], [6.218170, 6.959764, 8.111592, 9.133778, 64.632278], [16.055070, 17.415113, 22.324868, 23.835335, 120.702412], [17.756829, 19.538394, 20.293109, 24.909514, 51.505146], [79.611321, 89.699251, 105.302624, 118.403034, 318.847773]]
### 8
mean: [-3.628274]
std: [6.026455]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[91.522328, 103.314920, 120.264450, 136.291123, 326.544677]]
## 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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"4": {"mean": 2.816469669342041, "std": 3.225285530090332, "pca": [0.6467365622520447, -0.46640369296073914, 0.4488081932067871, 0.38143616914749146, -0.1314423531293869, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [49.646212229912344, 53.538755355213304, 64.63640497627364, 71.97564036378712, 253.48227858543396]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 2.5154614448547363, "std": 3.98409366607666, "pca": [0.5316941142082214, 0.012007191777229309, 0.20960691571235657, -0.4138885736465454, 0.7084619402885437, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [62.70797832315813, 68.53964065085846, 78.44406899716732, 90.25428750325955, 226.39152491092682]}, "1": {"mean": -1.0645909309387207, "std": 0.626050591468811, "pca": [-0.08048682659864426, 0.4140281081199646, 0.35514310002326965, 0.741815447807312, 0.3816881477832794, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [10.758573741390691, 11.18996687432528, 12.452246466806779, 14.566697679450414, 95.81318008899689]}, "2": {"mean": -2.3941867351531982, "std": 2.853841781616211, "pca": [-0.3800498843193054, 0.4131385385990143, 0.6450080275535583, -0.48099619150161743, -0.19361282885074615, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [48.500108964241335, 49.81877576833368, 54.61046906049819, 65.31173933499883, 215.47680719196796]}, "3": {"mean": 1.814796805381775, "std": 2.178154230117798, "pca": [0.2875940203666687, 0.8080246448516846, -0.47774285078048706, -0.11201386153697968, -0.15362462401390076, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.91272354076434, 35.33686417269357, 44.53000474569118, 47.95284844135254, 163.33169797062874]}, "4": {"mean": 3.476078510284424, "std": 5.2115960121154785, "pca": [0.695467472076416, -0.06963682174682617, 0.430888295173645, 0.18574625253677368, -0.5397307872772217, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [82.1142219223184, 89.90035909669322, 102.31853375075939, 118.1068897406319, 312.8470856845379]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 4.535565376281738, "std": 6.660335540771484, "pca": [0.771880567073822, 0.2234932780265808, 0.19697070121765137, -0.14445562660694122, -0.5427579879760742, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [102.03588224350955, 114.63654896161283, 132.56618261906482, 150.55794186551427, 408.2008746340871]}, "1": {"mean": -0.7181364297866821, "std": 0.40709608793258667, "pca": [-0.04713539406657219, 0.047213323414325714, 0.8506252765655518, 0.5059623718261719, 0.1264433115720749, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [6.218169793694063, 6.95976377611605, 8.111592469400135, 9.133777751899432, 64.63227847218513]}, "2": {"mean": -1.3411380052566528, "std": 1.0872688293457031, "pca": [-0.12443676590919495, 0.5833497643470764, -0.39073383808135986, 0.6540080904960632, -0.2526242733001709, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [16.055070494463713, 17.415112581193302, 22.32486809875614, 23.835335195536043, 120.70241212844849]}, "3": {"mean": 0.5722793936729431, "std": 1.0887070894241333, "pca": [0.12379766255617142, 0.7168512940406799, 0.08099722117185593, -0.33920493721961975, 0.5909126996994019, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [17.756828706410566, 19.53839380386995, 20.2931094113487, 24.90951437942175, 51.505146289244294]}, "4": {"mean": 3.542752981185913, "std": 5.257431507110596, "pca": [0.6092357635498047, -0.30602118372917175, -0.2800101935863495, 0.4246740937232971, 0.5257651209831238, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [79.61132105929384, 89.6992508754358, 105.30262444613014, 118.40303442988694, 318.84777280688286]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.628274440765381, "std": 6.026455402374268, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [91.52232781727544, 103.31491953161843, 120.26445049320145, 136.29112268385353, 326.5446770787239]}}, "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": [[0.387727, -0.383888, -0.154208, 0.513813, 0.811761], [0.46369, 0.256017, -0.176491, -0.298288, -0.241227], [0.762263, -0.28576, -0.074683, 0.370255, 0.690075], [0.109474, -0.473449, -0.222749, 0.229875, 0.61128], [0.645481, -0.544762, -0.248735, 0.409144, 0.625767]], "network.0.bias": [-0.335666, 0.248707, -0.524427, -0.450495, -0.587819], "network.2.weight": [[0.219159, 0.464675, 0.640719, -0.037952, 0.774538], [-0.054557, 0.43007, 0.341723, 0.260997, -0.138092], [-0.274693, 0.141701, -0.266793, -0.248466, 0.187603], [0.271302, 0.149683, 0.472717, 0.079166, 0.646003], [0.7072, 0.372043, 0.413609, 0.640152, 0.492007]], "network.2.bias": [-0.291052, -0.269387, -0.423354, -0.518798, 0.210493], "network.4.weight": [[0.391577, 0.1162, 0.053797, 0.523301, 0.527767], [-0.268732, -0.256415, 0.144109, 0.34869, -0.159009], [-0.637515, -0.241868, 0.199518, 0.42068, -0.60061], [-0.263648, -0.10357, -0.345283, 0.493608, 0.569058], [0.627613, 0.087512, -0.230973, 0.642104, 0.633818]], "network.4.bias": [-0.636577, -0.47502, 0.083361, 0.048844, -0.630531], "network.6.weight": [[0.679952, 0.20169, 0.178983, 0.1088, 0.744682], [0.157569, -0.061792, 0.216594, -0.074886, -0.167273], [-0.121081, 0.054803, 0.377533, -0.555317, 0.116013], [0.191829, -0.218674, -0.167694, -0.581156, 0.309909], [0.384385, 0.113697, 0.116739, 0.517136, 0.520657]], "network.6.bias": [-0.18681, -0.399157, -0.428639, -0.011381, -0.314999], "network.8.weight": [[-0.556401, 0.033205, -0.105501, -0.428125, -0.367601]], "network.8.bias": [0.543612]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6648696660995483, "train_acc": 0.495, "val_loss": 0.9204519391059875, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6264105141162872, "train_acc": 0.6, "val_loss": 0.53639817237854, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4876975864171982, "train_acc": 0.775, "val_loss": 0.4216482639312744, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.37186622619628906, "train_acc": 0.835, "val_loss": 0.3752164840698242, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.36177656054496765, "train_acc": 0.885, "val_loss": 0.3420862555503845, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3712656795978546, "train_acc": 0.86, "val_loss": 0.38881129026412964, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.34950126707553864, "train_acc": 0.88, "val_loss": 0.4743434190750122, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.311190128326416, "train_acc": 0.9, "val_loss": 0.3943062722682953, "val_acc": 0.88}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.9204519391059875, "final_val_loss": 0.53639817237854, "initial_val_acc": 0.48, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4216482639312744, "final_val_loss": 0.3943062722682953, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 3}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,972
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7874, "learning_rate": 0.06902713005561821, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
1.054358,
0.35901,
0.452081,
0.529607,
0.01908
],
[
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[
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0.153363,
-0.35317
],
[
0.043947,
0.815242,
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[
0.554752,
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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.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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]
}
## Activation Signature
### 0
mean: [3.885885, -3.867837, 0.378838, 0.463758, 1.855643, 3.625234]
std: [3.119354, 2.665439, 2.477577, 1.577667, 1.693089, 3.705432]
pca: [[0.545135, 0.058434, -0.157647, -0.526975, -0.435506, -0.455184, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370619, 0.533676, 0.526394, -0.334113, -0.386629, 0.199066, 0.000000, 0.000000, 0.000000, 0.000000], [0.269781, 0.719563, -0.054018, -0.032277, 0.624246, -0.125716, 0.000000, 0.000000, 0.000000, 0.000000], [0.084912, 0.418663, -0.303518, 0.676699, -0.516367, -0.028826, 0.000000, 0.000000, 0.000000, 0.000000], [0.280680, 0.056297, -0.385983, -0.256779, -0.064502, 0.836045, 0.000000, 0.000000, 0.000000, 0.000000], [0.637728, -0.124723, 0.673820, 0.292858, -0.019353, 0.193840, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.502126, 54.442818, 55.267272, 61.815980, 349.729683], [46.038409, 48.414160, 48.450219, 57.393627, 348.105346], [36.684789, 36.965368, 37.767923, 40.182542, 51.671899], [26.496763, 31.843673, 34.772690, 37.420287, 41.738217], [25.667644, 29.566314, 29.803441, 34.606384, 167.007887], [61.704903, 62.687237, 67.108611, 67.928741, 326.271028]]
### 2
mean: [5.832338, -2.352108, -2.481950, -2.076987, 0.556521, -0.648495]
std: [5.583925, 2.088470, 1.964616, 2.333269, 0.599162, 1.018671]
pca: [[0.841066, 0.348140, -0.111823, 0.290261, 0.117552, 0.246643, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312684, 0.157200, -0.328841, -0.097622, -0.113505, 0.864273, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286155, 0.299073, -0.519477, 0.203330, 0.676809, -0.243725, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317021, 0.682638, 0.497821, 0.389847, -0.181228, -0.029212, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033788, -0.309968, 0.572079, 0.117117, 0.656699, 0.361295, 0.000000, 0.000000, 0.000000, 0.000000], [-0.106346, -0.450074, -0.185481, 0.836169, -0.226123, 0.037567, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.591066, 99.118959, 100.217726, 100.930157, 524.910394], [33.833337, 35.230691, 36.263662, 37.959702, 211.689671], [32.181648, 33.731231, 34.348064, 36.377957, 223.375524], [37.168140, 39.037610, 41.188764, 44.582424, 186.928860], [8.700306, 9.343153, 10.587746, 14.080622, 50.086918], [14.407747, 15.162046, 16.157627, 21.744096, 58.364511]]
### 4
mean: [3.164608, 2.679903, -0.402397, 3.757123, -0.948903, -2.116096]
std: [3.855558, 3.350180, 0.123168, 3.831270, 1.351535, 1.689944]
pca: [[0.572387, -0.052188, 0.323921, -0.188393, 0.727484, 0.000739, 0.000000, 0.000000, 0.000000, 0.000000], [0.497018, 0.456141, 0.377915, -0.039080, -0.537065, 0.334848, 0.000000, 0.000000, 0.000000, 0.000000], [-0.009804, 0.235085, -0.469225, 0.277420, 0.304592, 0.744801, 0.000000, 0.000000, 0.000000, 0.000000], [0.568691, -0.127092, -0.388985, 0.597885, -0.128160, -0.367746, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199462, -0.350426, 0.598723, 0.652446, 0.033938, 0.228277, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249111, 0.771360, 0.149348, 0.320729, 0.268283, -0.381837, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.516750, 68.861590, 69.213653, 71.021086, 284.814691], [52.684050, 60.144964, 60.661308, 62.466094, 241.191250], [1.762939, 1.828169, 2.396122, 2.798180, 36.215760], [60.054451, 68.698502, 68.898146, 70.536100, 338.141069], [21.102473, 22.733719, 23.282238, 25.043677, 85.401301], [27.372161, 29.381910, 29.391060, 29.507865, 190.448626]]
### 6
mean: [-2.178951, 1.282903, 8.620757, -2.462604, 6.012252, -1.637106]
std: [1.999753, 0.208204, 9.839775, 2.390447, 5.777065, 1.318916]
pca: [[-0.167969, 0.318847, 0.216549, 0.463174, 0.171915, 0.761016, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016034, 0.661704, -0.126908, -0.242218, 0.653564, -0.244886, 0.000000, 0.000000, 0.000000, 0.000000], [0.826687, 0.200281, 0.296594, 0.379061, -0.060443, -0.202898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200769, -0.274738, 0.855106, -0.125005, 0.328966, -0.170761, 0.000000, 0.000000, 0.000000, 0.000000], [0.485340, -0.416922, -0.151021, -0.399387, 0.432816, 0.470079, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110702, -0.413602, -0.308252, 0.638731, 0.494062, -0.263788, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.091978, 33.058534, 34.670495, 35.140142, 196.105615], [3.312875, 3.587358, 3.596808, 3.785675, 115.461266], [154.819563, 166.507818, 172.166145, 175.524492, 775.868087], [37.792872, 40.428102, 41.481378, 42.502909, 221.634393], [91.621521, 96.623119, 100.686977, 102.274134, 541.102712], [20.784217, 23.105065, 23.287782, 24.311918, 147.339497]]
### 8
mean: [-1.471463, 3.594987, 6.878544, -3.162630, -3.953010, 9.486411]
std: [1.553509, 0.264165, 8.566806, 2.567803, 3.751499, 11.654886]
pca: [[-0.101909, 0.116295, 0.402880, 0.561555, 0.662924, 0.242828, 0.000000, 0.000000, 0.000000, 0.000000], [0.016427, 0.940968, -0.207392, 0.153150, -0.199273, 0.090185, 0.000000, 0.000000, 0.000000, 0.000000], [0.561991, 0.037204, 0.539893, -0.210427, -0.263063, 0.527082, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168449, -0.101988, 0.402657, 0.566082, -0.619168, -0.308664, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246097, -0.264179, -0.434770, 0.306929, -0.252124, 0.723082, 0.000000, 0.000000, 0.000000, 0.000000], [0.764573, -0.139565, -0.389917, 0.449742, 0.068437, -0.192259, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.687424, 25.849943, 27.070122, 27.413483, 132.431661], [4.081741, 4.452802, 5.357446, 5.509542, 323.548828], [135.559474, 143.506355, 149.297944, 151.971191, 619.068954], [40.630413, 43.137683, 44.758728, 45.601920, 284.636674], [59.219084, 63.186288, 65.389605, 66.788739, 355.770914], [184.604180, 194.970562, 203.112375, 206.517769, 853.776917]]
### 10
mean: [-8.192562]
std: [14.632586]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[235.425632, 239.682839, 250.509059, 255.548866, 737.330604]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.054358,
0.35901,
0.452081,
0.529607,
0.01908
],
[
-0.194917,
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-0.65836,
0.143349,
-0.86465
],
[
0.995212,
0.509901,
-0.641995,
0.153363,
-0.35317
],
[
0.043947,
0.815242,
-0.503109,
-0.08488,
-0.016827
],
[
0.554752,
0.240139,
0.065933,
0.304612,
0.214367
],
[
0.935371,
0.76507,
0.962147,
-0.130541,
-0.223367
]
],
"network.0.bias": [
-0.183991,
-0.593509,
-0.341047,
0.177229,
-0.327637,
-0.387306
],
"network.2.weight": [
[
0.520282,
0.410596,
0.495698,
0.953228,
0.29329,
0.663989
],
[
-0.126377,
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-0.045784,
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-0.172897,
-0.390464
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[
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0.206575,
-0.126758,
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],
[
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-0.278746,
-0.474297,
0.564172,
0.146784,
-0.756257
],
[
-0.113291,
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0.169829,
0.131181
],
[
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-0.265843,
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-0.294785,
0.257805
]
],
"network.2.bias": [
-0.577326,
0.027076,
-0.328771,
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0.740421,
0.258847
],
"network.4.weight": [
[
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0.689823,
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],
[
0.586708,
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0.735273,
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-0.464291
],
[
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0.20718
],
[
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0.176156,
0.359042,
0.319273,
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0.038428
],
[
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0.519503,
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0.414028,
0.224323
],
[
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0.024053,
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0.091817
]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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[
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0.239793,
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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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1.002263,
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],
"network.10.weight": [
[
0.388189,
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0.196702,
-0.843498
]
],
"network.10.bias": [
0.440303
]
}
## Activation Signature
### 0
mean: [3.885885, -3.867837, 0.378838, 0.463758, 1.855643, 3.625234]
std: [3.119354, 2.665439, 2.477577, 1.577667, 1.693089, 3.705432]
pca: [[0.545135, 0.058434, -0.157647, -0.526975, -0.435506, -0.455184, 0.000000, 0.000000, 0.000000, 0.000000], [-0.370619, 0.533676, 0.526394, -0.334113, -0.386629, 0.199066, 0.000000, 0.000000, 0.000000, 0.000000], [0.269781, 0.719563, -0.054018, -0.032277, 0.624246, -0.125716, 0.000000, 0.000000, 0.000000, 0.000000], [0.084912, 0.418663, -0.303518, 0.676699, -0.516367, -0.028826, 0.000000, 0.000000, 0.000000, 0.000000], [0.280680, 0.056297, -0.385983, -0.256779, -0.064502, 0.836045, 0.000000, 0.000000, 0.000000, 0.000000], [0.637728, -0.124723, 0.673820, 0.292858, -0.019353, 0.193840, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[49.502126, 54.442818, 55.267272, 61.815980, 349.729683], [46.038409, 48.414160, 48.450219, 57.393627, 348.105346], [36.684789, 36.965368, 37.767923, 40.182542, 51.671899], [26.496763, 31.843673, 34.772690, 37.420287, 41.738217], [25.667644, 29.566314, 29.803441, 34.606384, 167.007887], [61.704903, 62.687237, 67.108611, 67.928741, 326.271028]]
### 2
mean: [5.832338, -2.352108, -2.481950, -2.076987, 0.556521, -0.648495]
std: [5.583925, 2.088470, 1.964616, 2.333269, 0.599162, 1.018671]
pca: [[0.841066, 0.348140, -0.111823, 0.290261, 0.117552, 0.246643, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312684, 0.157200, -0.328841, -0.097622, -0.113505, 0.864273, 0.000000, 0.000000, 0.000000, 0.000000], [-0.286155, 0.299073, -0.519477, 0.203330, 0.676809, -0.243725, 0.000000, 0.000000, 0.000000, 0.000000], [-0.317021, 0.682638, 0.497821, 0.389847, -0.181228, -0.029212, 0.000000, 0.000000, 0.000000, 0.000000], [-0.033788, -0.309968, 0.572079, 0.117117, 0.656699, 0.361295, 0.000000, 0.000000, 0.000000, 0.000000], [-0.106346, -0.450074, -0.185481, 0.836169, -0.226123, 0.037567, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[86.591066, 99.118959, 100.217726, 100.930157, 524.910394], [33.833337, 35.230691, 36.263662, 37.959702, 211.689671], [32.181648, 33.731231, 34.348064, 36.377957, 223.375524], [37.168140, 39.037610, 41.188764, 44.582424, 186.928860], [8.700306, 9.343153, 10.587746, 14.080622, 50.086918], [14.407747, 15.162046, 16.157627, 21.744096, 58.364511]]
### 4
mean: [3.164608, 2.679903, -0.402397, 3.757123, -0.948903, -2.116096]
std: [3.855558, 3.350180, 0.123168, 3.831270, 1.351535, 1.689944]
pca: [[0.572387, -0.052188, 0.323921, -0.188393, 0.727484, 0.000739, 0.000000, 0.000000, 0.000000, 0.000000], [0.497018, 0.456141, 0.377915, -0.039080, -0.537065, 0.334848, 0.000000, 0.000000, 0.000000, 0.000000], [-0.009804, 0.235085, -0.469225, 0.277420, 0.304592, 0.744801, 0.000000, 0.000000, 0.000000, 0.000000], [0.568691, -0.127092, -0.388985, 0.597885, -0.128160, -0.367746, 0.000000, 0.000000, 0.000000, 0.000000], [-0.199462, -0.350426, 0.598723, 0.652446, 0.033938, 0.228277, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249111, 0.771360, 0.149348, 0.320729, 0.268283, -0.381837, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.516750, 68.861590, 69.213653, 71.021086, 284.814691], [52.684050, 60.144964, 60.661308, 62.466094, 241.191250], [1.762939, 1.828169, 2.396122, 2.798180, 36.215760], [60.054451, 68.698502, 68.898146, 70.536100, 338.141069], [21.102473, 22.733719, 23.282238, 25.043677, 85.401301], [27.372161, 29.381910, 29.391060, 29.507865, 190.448626]]
### 6
mean: [-2.178951, 1.282903, 8.620757, -2.462604, 6.012252, -1.637106]
std: [1.999753, 0.208204, 9.839775, 2.390447, 5.777065, 1.318916]
pca: [[-0.167969, 0.318847, 0.216549, 0.463174, 0.171915, 0.761016, 0.000000, 0.000000, 0.000000, 0.000000], [-0.016034, 0.661704, -0.126908, -0.242218, 0.653564, -0.244886, 0.000000, 0.000000, 0.000000, 0.000000], [0.826687, 0.200281, 0.296594, 0.379061, -0.060443, -0.202898, 0.000000, 0.000000, 0.000000, 0.000000], [-0.200769, -0.274738, 0.855106, -0.125005, 0.328966, -0.170761, 0.000000, 0.000000, 0.000000, 0.000000], [0.485340, -0.416922, -0.151021, -0.399387, 0.432816, 0.470079, 0.000000, 0.000000, 0.000000, 0.000000], [-0.110702, -0.413602, -0.308252, 0.638731, 0.494062, -0.263788, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[32.091978, 33.058534, 34.670495, 35.140142, 196.105615], [3.312875, 3.587358, 3.596808, 3.785675, 115.461266], [154.819563, 166.507818, 172.166145, 175.524492, 775.868087], [37.792872, 40.428102, 41.481378, 42.502909, 221.634393], [91.621521, 96.623119, 100.686977, 102.274134, 541.102712], [20.784217, 23.105065, 23.287782, 24.311918, 147.339497]]
### 8
mean: [-1.471463, 3.594987, 6.878544, -3.162630, -3.953010, 9.486411]
std: [1.553509, 0.264165, 8.566806, 2.567803, 3.751499, 11.654886]
pca: [[-0.101909, 0.116295, 0.402880, 0.561555, 0.662924, 0.242828, 0.000000, 0.000000, 0.000000, 0.000000], [0.016427, 0.940968, -0.207392, 0.153150, -0.199273, 0.090185, 0.000000, 0.000000, 0.000000, 0.000000], [0.561991, 0.037204, 0.539893, -0.210427, -0.263063, 0.527082, 0.000000, 0.000000, 0.000000, 0.000000], [-0.168449, -0.101988, 0.402657, 0.566082, -0.619168, -0.308664, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246097, -0.264179, -0.434770, 0.306929, -0.252124, 0.723082, 0.000000, 0.000000, 0.000000, 0.000000], [0.764573, -0.139565, -0.389917, 0.449742, 0.068437, -0.192259, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.687424, 25.849943, 27.070122, 27.413483, 132.431661], [4.081741, 4.452802, 5.357446, 5.509542, 323.548828], [135.559474, 143.506355, 149.297944, 151.971191, 619.068954], [40.630413, 43.137683, 44.758728, 45.601920, 284.636674], [59.219084, 63.186288, 65.389605, 66.788739, 355.770914], [184.604180, 194.970562, 203.112375, 206.517769, 853.776917]]
### 10
mean: [-8.192562]
std: [14.632586]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[235.425632, 239.682839, 250.509059, 255.548866, 737.330604]]
## 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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9,973
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{"target_pattern": "first_last_match", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1308, "learning_rate": 0.07820982751496314, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [1.453006, 1.427775, 1.462503, -1.826739, -4.315163, -0.204318, -3.363416]
std: [1.929347, 2.096884, 2.208898, 1.863988, 2.267761, 2.091174, 1.749325]
pca: [[-0.238301, 0.587087, 0.082861, -0.107146, -0.345966, -0.514793, 0.442143, 0.000000, 0.000000, 0.000000], [-0.078111, 0.579755, -0.495684, -0.064518, 0.170942, 0.606345, 0.105083, 0.000000, 0.000000, 0.000000], [-0.319867, -0.553862, -0.415887, -0.034819, -0.072177, 0.054245, 0.639215, 0.000000, 0.000000, 0.000000], [0.381016, 0.082318, 0.222982, 0.762261, 0.041022, 0.145804, 0.440846, 0.000000, 0.000000, 0.000000], [0.614424, -0.066516, 0.053496, -0.437258, -0.566639, 0.269559, 0.173957, 0.000000, 0.000000, 0.000000], [-0.308482, -0.003757, 0.714592, -0.308236, 0.247173, 0.396189, 0.284805, 0.000000, 0.000000, 0.000000], [0.465774, 0.035151, -0.106042, -0.340439, 0.679720, -0.336906, 0.281337, 0.000000, 0.000000, 0.000000]]
fourier: [[28.102142, 32.980960, 36.148416, 36.684248, 130.770526], [29.994757, 30.064924, 33.003740, 39.727728, 128.499762], [30.842554, 35.341598, 42.249703, 52.859949, 131.625315], [28.533650, 29.733080, 32.074376, 32.809448, 164.406495], [34.076577, 36.335133, 36.574959, 45.684353, 388.364634], [34.975040, 37.402399, 37.673962, 40.553411, 41.785183], [27.239484, 27.385424, 34.010714, 34.071348, 302.707475]]
### 2
mean: [1.122917, 0.170557, 1.965936, -1.691152, -1.540327, -0.145576, 1.828096]
std: [1.693591, 1.762567, 2.540502, 0.921488, 0.951354, 2.475856, 1.866765]
pca: [[-0.313831, -0.080032, 0.658686, 0.646261, 0.115534, -0.111039, 0.133814, 0.000000, 0.000000, 0.000000], [0.065161, 0.690556, -0.340313, 0.539506, -0.319446, 0.099621, -0.006104, 0.000000, 0.000000, 0.000000], [0.627606, 0.288200, 0.112303, 0.066309, 0.690343, -0.167870, 0.035896, 0.000000, 0.000000, 0.000000], [0.015248, -0.252341, -0.403571, 0.159259, -0.024130, -0.537799, 0.676793, 0.000000, 0.000000, 0.000000], [-0.160155, -0.201559, -0.308889, 0.201429, 0.423038, 0.730310, 0.292275, 0.000000, 0.000000, 0.000000], [0.529770, -0.571489, -0.122364, 0.437715, -0.231098, 0.063434, -0.358813, 0.000000, 0.000000, 0.000000], [0.443663, 0.052596, 0.405528, -0.171325, -0.418429, 0.350659, 0.555470, 0.000000, 0.000000, 0.000000]]
fourier: [[27.210936, 30.059140, 30.185517, 32.439373, 101.062529], [24.995535, 25.025814, 25.100403, 30.646371, 33.225381], [47.874412, 47.876113, 49.882202, 58.706206, 176.934245], [14.406290, 14.819338, 14.845685, 17.389059, 152.203718], [15.056779, 17.578200, 18.885478, 19.533790, 138.629432], [37.016539, 38.947617, 42.693499, 45.111796, 54.360264], [28.734897, 38.000500, 38.365273, 40.018124, 164.528674]]
### 4
mean: [-1.902012, -1.063755, 2.053884, 3.243552, 1.468299, 2.235416, -1.004159]
std: [1.013935, 2.304716, 3.372198, 5.032087, 2.582747, 3.196095, 2.276651]
pca: [[-0.118787, 0.127739, 0.616943, 0.285469, 0.036094, -0.229742, 0.673333, 0.000000, 0.000000, 0.000000], [0.060990, 0.695165, -0.254805, -0.429107, -0.408178, -0.180367, 0.254610, 0.000000, 0.000000, 0.000000], [0.453624, 0.123339, -0.331377, 0.670598, -0.065922, -0.457476, -0.076615, 0.000000, 0.000000, 0.000000], [0.676180, -0.202229, 0.482932, -0.383986, -0.156783, -0.241312, -0.195968, 0.000000, 0.000000, 0.000000], [0.346400, 0.115429, -0.222974, -0.235271, 0.816608, 0.022147, 0.307042, 0.000000, 0.000000, 0.000000], [0.428066, -0.156340, -0.135430, 0.155877, -0.326161, 0.686424, 0.414872, 0.000000, 0.000000, 0.000000], [0.126266, 0.637616, 0.378633, 0.239952, 0.173009, 0.418928, -0.413678, 0.000000, 0.000000, 0.000000]]
fourier: [[16.159559, 20.146993, 20.232608, 20.722769, 171.181052], [33.790720, 36.147049, 36.801008, 48.553115, 95.737951], [61.953832, 65.304159, 66.058068, 78.680935, 184.849525], [81.012550, 95.248445, 102.678705, 118.063226, 291.919760], [47.208148, 50.269272, 50.959508, 59.987851, 132.146881], [51.908811, 61.315784, 66.004596, 74.395071, 201.187490], [33.281885, 37.455678, 39.488242, 51.144921, 90.374265]]
### 6
mean: [-1.423508, -0.848659, 6.355448, -2.824835, -1.704547, -2.561161, 7.765330]
std: [1.449517, 0.390451, 8.467569, 3.255485, 1.809919, 3.024107, 10.053928]
pca: [[-0.102421, -0.177779, -0.665770, 0.079341, 0.071733, 0.124824, 0.698308, 0.000000, 0.000000, 0.000000], [-0.023995, 0.221982, -0.028421, -0.375075, 0.630598, 0.631731, -0.109188, 0.000000, 0.000000, 0.000000], [0.601360, 0.690031, 0.042738, 0.170303, -0.190577, 0.122549, 0.282941, 0.000000, 0.000000, 0.000000], [-0.231479, -0.180641, 0.299838, 0.393487, -0.397124, 0.711151, 0.074893, 0.000000, 0.000000, 0.000000], [-0.128661, -0.051725, 0.676001, -0.141132, 0.256064, -0.185872, 0.635420, 0.000000, 0.000000, 0.000000], [-0.214861, 0.204715, -0.005181, 0.782394, 0.517229, -0.149329, -0.099670, 0.000000, 0.000000, 0.000000], [0.714841, -0.604782, 0.084909, 0.192693, 0.264725, 0.087941, -0.032977, 0.000000, 0.000000, 0.000000]]
fourier: [[24.958745, 27.395162, 29.533086, 33.163710, 128.115710], [6.518127, 6.961544, 7.935402, 8.490596, 76.379353], [150.540365, 162.823386, 171.505090, 194.866445, 571.990330], [59.334618, 62.567847, 65.342157, 75.071801, 254.235106], [33.348932, 35.167316, 36.337157, 41.654606, 153.409264], [57.288546, 59.468000, 60.041897, 69.430334, 230.504484], [192.375483, 194.333609, 202.023679, 231.233862, 698.879753]]
### 8
mean: [-3.882778]
std: [6.156997]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.618113, 118.108230, 124.581625, 140.772221, 349.450074]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [1.453006, 1.427775, 1.462503, -1.826739, -4.315163, -0.204318, -3.363416]
std: [1.929347, 2.096884, 2.208898, 1.863988, 2.267761, 2.091174, 1.749325]
pca: [[-0.238301, 0.587087, 0.082861, -0.107146, -0.345966, -0.514793, 0.442143, 0.000000, 0.000000, 0.000000], [-0.078111, 0.579755, -0.495684, -0.064518, 0.170942, 0.606345, 0.105083, 0.000000, 0.000000, 0.000000], [-0.319867, -0.553862, -0.415887, -0.034819, -0.072177, 0.054245, 0.639215, 0.000000, 0.000000, 0.000000], [0.381016, 0.082318, 0.222982, 0.762261, 0.041022, 0.145804, 0.440846, 0.000000, 0.000000, 0.000000], [0.614424, -0.066516, 0.053496, -0.437258, -0.566639, 0.269559, 0.173957, 0.000000, 0.000000, 0.000000], [-0.308482, -0.003757, 0.714592, -0.308236, 0.247173, 0.396189, 0.284805, 0.000000, 0.000000, 0.000000], [0.465774, 0.035151, -0.106042, -0.340439, 0.679720, -0.336906, 0.281337, 0.000000, 0.000000, 0.000000]]
fourier: [[28.102142, 32.980960, 36.148416, 36.684248, 130.770526], [29.994757, 30.064924, 33.003740, 39.727728, 128.499762], [30.842554, 35.341598, 42.249703, 52.859949, 131.625315], [28.533650, 29.733080, 32.074376, 32.809448, 164.406495], [34.076577, 36.335133, 36.574959, 45.684353, 388.364634], [34.975040, 37.402399, 37.673962, 40.553411, 41.785183], [27.239484, 27.385424, 34.010714, 34.071348, 302.707475]]
### 2
mean: [1.122917, 0.170557, 1.965936, -1.691152, -1.540327, -0.145576, 1.828096]
std: [1.693591, 1.762567, 2.540502, 0.921488, 0.951354, 2.475856, 1.866765]
pca: [[-0.313831, -0.080032, 0.658686, 0.646261, 0.115534, -0.111039, 0.133814, 0.000000, 0.000000, 0.000000], [0.065161, 0.690556, -0.340313, 0.539506, -0.319446, 0.099621, -0.006104, 0.000000, 0.000000, 0.000000], [0.627606, 0.288200, 0.112303, 0.066309, 0.690343, -0.167870, 0.035896, 0.000000, 0.000000, 0.000000], [0.015248, -0.252341, -0.403571, 0.159259, -0.024130, -0.537799, 0.676793, 0.000000, 0.000000, 0.000000], [-0.160155, -0.201559, -0.308889, 0.201429, 0.423038, 0.730310, 0.292275, 0.000000, 0.000000, 0.000000], [0.529770, -0.571489, -0.122364, 0.437715, -0.231098, 0.063434, -0.358813, 0.000000, 0.000000, 0.000000], [0.443663, 0.052596, 0.405528, -0.171325, -0.418429, 0.350659, 0.555470, 0.000000, 0.000000, 0.000000]]
fourier: [[27.210936, 30.059140, 30.185517, 32.439373, 101.062529], [24.995535, 25.025814, 25.100403, 30.646371, 33.225381], [47.874412, 47.876113, 49.882202, 58.706206, 176.934245], [14.406290, 14.819338, 14.845685, 17.389059, 152.203718], [15.056779, 17.578200, 18.885478, 19.533790, 138.629432], [37.016539, 38.947617, 42.693499, 45.111796, 54.360264], [28.734897, 38.000500, 38.365273, 40.018124, 164.528674]]
### 4
mean: [-1.902012, -1.063755, 2.053884, 3.243552, 1.468299, 2.235416, -1.004159]
std: [1.013935, 2.304716, 3.372198, 5.032087, 2.582747, 3.196095, 2.276651]
pca: [[-0.118787, 0.127739, 0.616943, 0.285469, 0.036094, -0.229742, 0.673333, 0.000000, 0.000000, 0.000000], [0.060990, 0.695165, -0.254805, -0.429107, -0.408178, -0.180367, 0.254610, 0.000000, 0.000000, 0.000000], [0.453624, 0.123339, -0.331377, 0.670598, -0.065922, -0.457476, -0.076615, 0.000000, 0.000000, 0.000000], [0.676180, -0.202229, 0.482932, -0.383986, -0.156783, -0.241312, -0.195968, 0.000000, 0.000000, 0.000000], [0.346400, 0.115429, -0.222974, -0.235271, 0.816608, 0.022147, 0.307042, 0.000000, 0.000000, 0.000000], [0.428066, -0.156340, -0.135430, 0.155877, -0.326161, 0.686424, 0.414872, 0.000000, 0.000000, 0.000000], [0.126266, 0.637616, 0.378633, 0.239952, 0.173009, 0.418928, -0.413678, 0.000000, 0.000000, 0.000000]]
fourier: [[16.159559, 20.146993, 20.232608, 20.722769, 171.181052], [33.790720, 36.147049, 36.801008, 48.553115, 95.737951], [61.953832, 65.304159, 66.058068, 78.680935, 184.849525], [81.012550, 95.248445, 102.678705, 118.063226, 291.919760], [47.208148, 50.269272, 50.959508, 59.987851, 132.146881], [51.908811, 61.315784, 66.004596, 74.395071, 201.187490], [33.281885, 37.455678, 39.488242, 51.144921, 90.374265]]
### 6
mean: [-1.423508, -0.848659, 6.355448, -2.824835, -1.704547, -2.561161, 7.765330]
std: [1.449517, 0.390451, 8.467569, 3.255485, 1.809919, 3.024107, 10.053928]
pca: [[-0.102421, -0.177779, -0.665770, 0.079341, 0.071733, 0.124824, 0.698308, 0.000000, 0.000000, 0.000000], [-0.023995, 0.221982, -0.028421, -0.375075, 0.630598, 0.631731, -0.109188, 0.000000, 0.000000, 0.000000], [0.601360, 0.690031, 0.042738, 0.170303, -0.190577, 0.122549, 0.282941, 0.000000, 0.000000, 0.000000], [-0.231479, -0.180641, 0.299838, 0.393487, -0.397124, 0.711151, 0.074893, 0.000000, 0.000000, 0.000000], [-0.128661, -0.051725, 0.676001, -0.141132, 0.256064, -0.185872, 0.635420, 0.000000, 0.000000, 0.000000], [-0.214861, 0.204715, -0.005181, 0.782394, 0.517229, -0.149329, -0.099670, 0.000000, 0.000000, 0.000000], [0.714841, -0.604782, 0.084909, 0.192693, 0.264725, 0.087941, -0.032977, 0.000000, 0.000000, 0.000000]]
fourier: [[24.958745, 27.395162, 29.533086, 33.163710, 128.115710], [6.518127, 6.961544, 7.935402, 8.490596, 76.379353], [150.540365, 162.823386, 171.505090, 194.866445, 571.990330], [59.334618, 62.567847, 65.342157, 75.071801, 254.235106], [33.348932, 35.167316, 36.337157, 41.654606, 153.409264], [57.288546, 59.468000, 60.041897, 69.430334, 230.504484], [192.375483, 194.333609, 202.023679, 231.233862, 698.879753]]
### 8
mean: [-3.882778]
std: [6.156997]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[110.618113, 118.108230, 124.581625, 140.772221, 349.450074]]
## 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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"fourier": [192.3754830870176, 194.3336094011073, 202.0236787726425, 231.2338618433884, 698.879753112793]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -3.8827781677246094, "std": 6.156996726989746, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [110.61811292136791, 118.10822962270011, 124.5816245502384, 140.77222107801353, 349.45007395744324]}}, "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": [[0.087172, 0.583329, 0.197521, 0.32807, -0.692754], [-0.568661, 0.643442, 0.091102, 0.528725, -0.320273], [0.094528, 0.092687, -0.074112, 0.007663, 1.184368], [-0.380413, -0.542232, 0.4872, -0.223276, -0.501667], [-0.395809, -0.230367, -0.648897, -0.467782, -0.168298], [1.062109, -0.108851, -0.036623, -0.032906, -0.41745], [-0.373742, -0.265366, -0.501188, -0.058078, -0.169859]], "network.0.bias": [0.01984, 0.033828, -0.14637, -0.28545, -0.836647, -0.665782, -1.033796], "network.2.weight": [[0.657675, 0.263644, -0.227654, -0.003072, 0.450577, -0.382113, 0.125732], [-0.409848, 0.28661, 0.648129, 0.48286, 0.090535, -0.43155, 0.096152], [-0.320139, 0.125125, 0.842543, 0.709452, -0.113187, 1.145353, 0.290101], [-0.142789, -0.378034, -0.264964, 0.178931, -0.126364, 0.010601, 0.171896], [-0.091397, -0.197763, -0.374281, 0.049535, 0.09257, -0.288001, -0.061349], [0.07617, -0.72825, -0.008499, 0.794105, -0.020687, 1.226405, -0.048256], [0.128958, 0.025845, 0.521792, 0.229124, -0.243663, 0.944169, 0.118929]], "network.2.bias": [0.200013, -0.351378, 0.088869, -0.44477, -0.280535, -0.038142, 0.053897], "network.4.weight": [[-0.248703, -0.371182, -0.09999, 0.007953, 0.28173, -0.454256, -0.029938], [-0.673855, 0.744051, 0.211483, 0.153225, 0.363208, -0.941035, -0.08909], [-0.352631, 0.911432, 0.778659, -0.374168, -0.10887, 0.585976, -0.126497], [-0.559441, 0.330478, 0.854537, 0.54891, 0.203578, 0.822102, 0.705319], [-0.344002, 0.653996, 0.444086, 0.57107, 0.021238, 0.258212, 0.217207], [-0.140533, 0.474911, 0.608322, -0.157324, 0.135017, 0.783896, 0.172334], [-0.885538, 0.49018, 0.357905, 0.141126, 0.078569, -0.83876, -0.080001]], "network.4.bias": [-0.652987, -0.199106, -0.032003, -0.020921, -0.096822, -0.170275, -0.0805], "network.6.weight": [[-0.261186, -0.044598, -0.250998, 0.084004, 0.083352, -0.440092, 0.150843], [-0.161818, -0.158816, 0.039835, 0.041096, -0.05099, -0.130328, -0.090718], [-0.895384, -0.046038, 0.343501, 0.928023, 0.161065, 0.862726, 0.304619], [-0.182655, 0.14152, -0.061987, -0.427573, -0.277173, -0.132867, -0.230568], [-0.092254, 0.036772, 0.15611, -0.432498, -0.212606, 0.111976, -0.258387], [0.087462, -0.11811, -0.154583, -0.231699, -0.564016, -0.052171, 0.002587], [-0.1904, 0.523284, 0.789899, 0.958517, 0.327766, 0.607936, 0.662114]], "network.6.bias": [-0.270435, -0.564933, -0.387, -0.232797, -0.266059, -0.136069, -0.331093], "network.8.weight": [[0.194025, 0.039332, -0.704628, -0.17976, 0.08884, 0.120045, -0.029026]], "network.8.bias": [0.946312]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7206955552101135, "train_acc": 0.435, "val_loss": 0.6850932240486145, "val_acc": 0.74}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6693418920040131, "train_acc": 0.58, "val_loss": 0.6234409213066101, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5907953381538391, "train_acc": 0.495, "val_loss": 0.4998700022697449, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5240499675273895, "train_acc": 0.77, "val_loss": 0.47180500626564026, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4670988470315933, "train_acc": 0.785, "val_loss": 0.4729737937450409, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.455299973487854, "train_acc": 0.785, "val_loss": 0.4306904673576355, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.44624170660972595, "train_acc": 0.795, "val_loss": 0.4140588641166687, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.42633168399333954, "train_acc": 0.8, "val_loss": 0.4089292883872986, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4090396761894226, "train_acc": 0.815, "val_loss": 0.3871086835861206, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.42097702622413635, "train_acc": 0.81, "val_loss": 0.4112609028816223, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4095519483089447, "train_acc": 0.825, "val_loss": 0.4458422064781189, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4130149334669113, "train_acc": 0.805, "val_loss": 0.4423264265060425, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6850932240486145, "final_val_loss": 0.6234409213066101, "initial_val_acc": 0.74, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.4998700022697449, "final_val_loss": 0.4423264265060425, "initial_val_acc": 0.78, "final_val_acc": 0.78, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
9,974
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2253, "learning_rate": 0.040760355177974675, "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: 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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"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: [0.501621, -0.099442, -1.179336, -0.726782, -0.823508, 1.402955, -1.909842]
std: [1.688583, 2.095304, 1.410308, 1.167177, 1.773686, 1.337137, 1.120637]
pca: [[-0.426530, 0.490735, 0.403908, 0.081086, 0.201132, 0.588517, 0.143973, 0.000000, 0.000000, 0.000000], [0.536783, 0.760534, 0.046761, 0.099929, -0.234681, -0.235916, 0.102705, 0.000000, 0.000000, 0.000000], [-0.129928, -0.021422, 0.755923, -0.266938, 0.034285, -0.495207, -0.305907, 0.000000, 0.000000, 0.000000], [-0.186188, -0.050186, 0.081738, 0.882908, -0.231163, -0.110332, -0.333164, 0.000000, 0.000000, 0.000000], [0.534936, -0.170938, 0.213636, 0.287179, 0.740294, 0.091983, -0.003850, 0.000000, 0.000000, 0.000000], [-0.412488, 0.164378, -0.207059, 0.160488, 0.407451, -0.574620, 0.487851, 0.000000, 0.000000, 0.000000], [0.148609, -0.348641, 0.409948, 0.156295, -0.368521, 0.044030, 0.725350, 0.000000, 0.000000, 0.000000]]
fourier: [[26.408324, 27.507014, 29.870455, 32.030056, 45.145872], [31.356726, 31.651963, 34.405478, 36.761670, 44.035211], [24.431963, 24.503342, 26.010931, 28.544154, 106.140214], [16.115676, 16.840518, 20.049215, 20.129501, 65.410346], [28.893979, 28.985938, 31.537399, 33.243002, 74.115757], [20.375855, 22.138487, 23.785601, 24.359340, 126.265904], [17.695749, 17.755489, 19.470899, 19.708022, 171.885787]]
### 2
mean: [0.226111, -0.119398, 0.088159, -0.173294, 0.919683, -1.106691, -0.941621]
std: [0.855388, 0.722308, 1.000606, 1.019647, 1.130185, 0.688641, 0.614311]
pca: [[0.436708, -0.064590, 0.292860, -0.540022, -0.502477, 0.076486, 0.411570, 0.000000, 0.000000, 0.000000], [0.186262, 0.410073, 0.696582, 0.434918, 0.247973, -0.014352, 0.247122, 0.000000, 0.000000, 0.000000], [0.465936, -0.359755, -0.225704, 0.542152, -0.117878, 0.537339, 0.077337, 0.000000, 0.000000, 0.000000], [0.533430, -0.049649, -0.074276, -0.389709, 0.728095, 0.047853, -0.152265, 0.000000, 0.000000, 0.000000], [-0.503467, -0.472973, 0.332069, -0.178848, 0.300287, 0.467015, 0.268859, 0.000000, 0.000000, 0.000000], [-0.083563, 0.546624, 0.033245, -0.201508, -0.136044, 0.684426, -0.406892, 0.000000, 0.000000, 0.000000], [-0.111746, 0.416266, -0.511050, -0.028771, 0.182559, 0.127979, 0.708893, 0.000000, 0.000000, 0.000000]]
fourier: [[13.750838, 14.721142, 14.909744, 16.597828, 20.349963], [10.745774, 11.516986, 11.878487, 12.890464, 13.698759], [15.155590, 18.151258, 18.172709, 18.936070, 19.453057], [15.596490, 16.631128, 16.825337, 18.608303, 19.320828], [16.015775, 16.656530, 22.244448, 23.400727, 82.771421], [11.239178, 11.747432, 11.823165, 12.754053, 99.602191], [8.766160, 8.841385, 10.702051, 11.343319, 84.745876]]
### 4
mean: [-0.920696, -0.005663, -0.893333, -0.113948, -1.313906, 0.936290, 1.076353]
std: [0.345751, 0.533663, 0.473936, 0.659122, 0.701000, 0.430878, 0.600314]
pca: [[-0.155863, 0.320173, -0.370833, 0.719821, 0.361864, 0.284624, -0.074700, 0.000000, 0.000000, 0.000000], [0.276291, -0.474087, -0.340699, -0.038795, -0.271838, 0.707087, 0.086345, 0.000000, 0.000000, 0.000000], [0.062871, 0.509140, -0.524569, -0.290654, -0.189071, -0.094993, 0.576541, 0.000000, 0.000000, 0.000000], [0.581533, -0.114416, 0.195212, -0.003322, 0.654656, -0.010471, 0.426528, 0.000000, 0.000000, 0.000000], [0.354758, 0.630248, 0.342329, -0.198139, -0.081570, 0.447772, -0.336647, 0.000000, 0.000000, 0.000000], [-0.380425, 0.052214, 0.555565, 0.220225, -0.201652, 0.312965, 0.597318, 0.000000, 0.000000, 0.000000], [-0.535406, -0.021839, -0.085351, -0.555071, 0.532465, 0.333820, -0.050198, 0.000000, 0.000000, 0.000000]]
fourier: [[4.796335, 4.990808, 5.169156, 5.862576, 82.862670], [7.545070, 7.691585, 7.819850, 8.116837, 9.304723], [7.363935, 7.479187, 8.771527, 10.544971, 80.399986], [10.255341, 10.324581, 10.584142, 12.225502, 12.676400], [11.180952, 12.049181, 13.868101, 15.379606, 118.251572], [7.141497, 7.468424, 7.985807, 8.106772, 84.266080], [9.094969, 10.527217, 11.012736, 11.037094, 96.871777]]
### 6
mean: [1.150965, 1.706649, -0.868073, -0.268171, 1.575932, -0.741636, 2.168613]
std: [0.539827, 0.774378, 0.286113, 0.446054, 0.732005, 0.344468, 1.036962]
pca: [[0.318833, 0.138224, -0.053101, 0.211253, 0.205090, 0.736765, -0.496897, 0.000000, 0.000000, 0.000000], [0.457919, -0.020575, -0.455921, -0.200430, 0.349358, 0.157010, 0.628608, 0.000000, 0.000000, 0.000000], [-0.166911, -0.205506, 0.250248, 0.797417, 0.308531, 0.059910, 0.364184, 0.000000, 0.000000, 0.000000], [-0.239409, 0.920483, -0.025896, 0.111059, -0.098670, 0.094833, 0.252309, 0.000000, 0.000000, 0.000000], [0.432774, 0.043463, -0.432731, 0.507327, -0.515426, -0.299247, -0.104732, 0.000000, 0.000000, 0.000000], [-0.202837, 0.140739, -0.441922, 0.094354, 0.633976, -0.431986, -0.382511, 0.000000, 0.000000, 0.000000], [0.612408, 0.263157, 0.586064, -0.026627, 0.251734, -0.379185, -0.066124, 0.000000, 0.000000, 0.000000]]
fourier: [[8.768574, 8.960860, 9.616969, 10.623251, 103.586829], [12.278220, 12.691991, 13.709471, 15.552598, 153.598449], [4.467779, 4.786472, 5.118759, 5.471443, 78.126534], [6.823067, 7.176908, 7.495658, 9.159478, 24.135397], [11.766140, 12.110629, 13.029849, 14.654061, 141.833857], [5.276313, 5.436782, 6.233037, 6.909527, 66.747217], [16.524013, 17.347358, 18.569939, 20.203030, 195.175208]]
### 8
mean: [-0.210178, 4.160315, 3.389277, 3.999532, -1.129373, 3.836429, -1.106046]
std: [0.137646, 1.761090, 1.572255, 1.771801, 0.561927, 1.761003, 0.472126]
pca: [[-0.008615, 0.750222, -0.180366, 0.173083, -0.138601, -0.251355, -0.540568, 0.000000, 0.000000, 0.000000], [0.500920, 0.408742, 0.240961, 0.096711, -0.401673, 0.043136, 0.592783, 0.000000, 0.000000, 0.000000], [0.447218, -0.355352, -0.461370, 0.315587, -0.405173, 0.331336, -0.295491, 0.000000, 0.000000, 0.000000], [0.504387, -0.023226, 0.577493, 0.177007, 0.463433, 0.164959, -0.371810, 0.000000, 0.000000, 0.000000], [-0.159226, 0.302292, 0.012796, -0.425759, -0.037472, 0.831447, -0.095522, 0.000000, 0.000000, 0.000000], [0.501293, 0.096067, -0.499326, -0.525467, 0.419374, -0.170455, 0.095424, 0.000000, 0.000000, 0.000000], [-0.133964, 0.206576, -0.336980, 0.610227, 0.513064, 0.278579, 0.335569, 0.000000, 0.000000, 0.000000]]
fourier: [[2.113228, 2.280658, 2.523822, 2.628292, 18.916029], [27.626821, 29.033416, 30.907430, 34.437167, 374.428335], [24.450815, 24.870510, 28.183140, 31.283874, 305.034896], [27.942098, 28.223190, 31.347023, 35.089709, 359.957899], [8.525225, 8.926056, 10.135090, 11.307806, 101.643542], [27.710153, 28.467162, 31.219155, 34.658960, 345.278634], [7.286184, 7.646509, 8.406176, 9.557976, 99.544102]]
### 10
mean: [-8.512921]
std: [3.607686]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.843894, 56.209903, 64.028962, 71.628066, 766.162909]]
## 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: 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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0.295319,
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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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[
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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: [0.501621, -0.099442, -1.179336, -0.726782, -0.823508, 1.402955, -1.909842]
std: [1.688583, 2.095304, 1.410308, 1.167177, 1.773686, 1.337137, 1.120637]
pca: [[-0.426530, 0.490735, 0.403908, 0.081086, 0.201132, 0.588517, 0.143973, 0.000000, 0.000000, 0.000000], [0.536783, 0.760534, 0.046761, 0.099929, -0.234681, -0.235916, 0.102705, 0.000000, 0.000000, 0.000000], [-0.129928, -0.021422, 0.755923, -0.266938, 0.034285, -0.495207, -0.305907, 0.000000, 0.000000, 0.000000], [-0.186188, -0.050186, 0.081738, 0.882908, -0.231163, -0.110332, -0.333164, 0.000000, 0.000000, 0.000000], [0.534936, -0.170938, 0.213636, 0.287179, 0.740294, 0.091983, -0.003850, 0.000000, 0.000000, 0.000000], [-0.412488, 0.164378, -0.207059, 0.160488, 0.407451, -0.574620, 0.487851, 0.000000, 0.000000, 0.000000], [0.148609, -0.348641, 0.409948, 0.156295, -0.368521, 0.044030, 0.725350, 0.000000, 0.000000, 0.000000]]
fourier: [[26.408324, 27.507014, 29.870455, 32.030056, 45.145872], [31.356726, 31.651963, 34.405478, 36.761670, 44.035211], [24.431963, 24.503342, 26.010931, 28.544154, 106.140214], [16.115676, 16.840518, 20.049215, 20.129501, 65.410346], [28.893979, 28.985938, 31.537399, 33.243002, 74.115757], [20.375855, 22.138487, 23.785601, 24.359340, 126.265904], [17.695749, 17.755489, 19.470899, 19.708022, 171.885787]]
### 2
mean: [0.226111, -0.119398, 0.088159, -0.173294, 0.919683, -1.106691, -0.941621]
std: [0.855388, 0.722308, 1.000606, 1.019647, 1.130185, 0.688641, 0.614311]
pca: [[0.436708, -0.064590, 0.292860, -0.540022, -0.502477, 0.076486, 0.411570, 0.000000, 0.000000, 0.000000], [0.186262, 0.410073, 0.696582, 0.434918, 0.247973, -0.014352, 0.247122, 0.000000, 0.000000, 0.000000], [0.465936, -0.359755, -0.225704, 0.542152, -0.117878, 0.537339, 0.077337, 0.000000, 0.000000, 0.000000], [0.533430, -0.049649, -0.074276, -0.389709, 0.728095, 0.047853, -0.152265, 0.000000, 0.000000, 0.000000], [-0.503467, -0.472973, 0.332069, -0.178848, 0.300287, 0.467015, 0.268859, 0.000000, 0.000000, 0.000000], [-0.083563, 0.546624, 0.033245, -0.201508, -0.136044, 0.684426, -0.406892, 0.000000, 0.000000, 0.000000], [-0.111746, 0.416266, -0.511050, -0.028771, 0.182559, 0.127979, 0.708893, 0.000000, 0.000000, 0.000000]]
fourier: [[13.750838, 14.721142, 14.909744, 16.597828, 20.349963], [10.745774, 11.516986, 11.878487, 12.890464, 13.698759], [15.155590, 18.151258, 18.172709, 18.936070, 19.453057], [15.596490, 16.631128, 16.825337, 18.608303, 19.320828], [16.015775, 16.656530, 22.244448, 23.400727, 82.771421], [11.239178, 11.747432, 11.823165, 12.754053, 99.602191], [8.766160, 8.841385, 10.702051, 11.343319, 84.745876]]
### 4
mean: [-0.920696, -0.005663, -0.893333, -0.113948, -1.313906, 0.936290, 1.076353]
std: [0.345751, 0.533663, 0.473936, 0.659122, 0.701000, 0.430878, 0.600314]
pca: [[-0.155863, 0.320173, -0.370833, 0.719821, 0.361864, 0.284624, -0.074700, 0.000000, 0.000000, 0.000000], [0.276291, -0.474087, -0.340699, -0.038795, -0.271838, 0.707087, 0.086345, 0.000000, 0.000000, 0.000000], [0.062871, 0.509140, -0.524569, -0.290654, -0.189071, -0.094993, 0.576541, 0.000000, 0.000000, 0.000000], [0.581533, -0.114416, 0.195212, -0.003322, 0.654656, -0.010471, 0.426528, 0.000000, 0.000000, 0.000000], [0.354758, 0.630248, 0.342329, -0.198139, -0.081570, 0.447772, -0.336647, 0.000000, 0.000000, 0.000000], [-0.380425, 0.052214, 0.555565, 0.220225, -0.201652, 0.312965, 0.597318, 0.000000, 0.000000, 0.000000], [-0.535406, -0.021839, -0.085351, -0.555071, 0.532465, 0.333820, -0.050198, 0.000000, 0.000000, 0.000000]]
fourier: [[4.796335, 4.990808, 5.169156, 5.862576, 82.862670], [7.545070, 7.691585, 7.819850, 8.116837, 9.304723], [7.363935, 7.479187, 8.771527, 10.544971, 80.399986], [10.255341, 10.324581, 10.584142, 12.225502, 12.676400], [11.180952, 12.049181, 13.868101, 15.379606, 118.251572], [7.141497, 7.468424, 7.985807, 8.106772, 84.266080], [9.094969, 10.527217, 11.012736, 11.037094, 96.871777]]
### 6
mean: [1.150965, 1.706649, -0.868073, -0.268171, 1.575932, -0.741636, 2.168613]
std: [0.539827, 0.774378, 0.286113, 0.446054, 0.732005, 0.344468, 1.036962]
pca: [[0.318833, 0.138224, -0.053101, 0.211253, 0.205090, 0.736765, -0.496897, 0.000000, 0.000000, 0.000000], [0.457919, -0.020575, -0.455921, -0.200430, 0.349358, 0.157010, 0.628608, 0.000000, 0.000000, 0.000000], [-0.166911, -0.205506, 0.250248, 0.797417, 0.308531, 0.059910, 0.364184, 0.000000, 0.000000, 0.000000], [-0.239409, 0.920483, -0.025896, 0.111059, -0.098670, 0.094833, 0.252309, 0.000000, 0.000000, 0.000000], [0.432774, 0.043463, -0.432731, 0.507327, -0.515426, -0.299247, -0.104732, 0.000000, 0.000000, 0.000000], [-0.202837, 0.140739, -0.441922, 0.094354, 0.633976, -0.431986, -0.382511, 0.000000, 0.000000, 0.000000], [0.612408, 0.263157, 0.586064, -0.026627, 0.251734, -0.379185, -0.066124, 0.000000, 0.000000, 0.000000]]
fourier: [[8.768574, 8.960860, 9.616969, 10.623251, 103.586829], [12.278220, 12.691991, 13.709471, 15.552598, 153.598449], [4.467779, 4.786472, 5.118759, 5.471443, 78.126534], [6.823067, 7.176908, 7.495658, 9.159478, 24.135397], [11.766140, 12.110629, 13.029849, 14.654061, 141.833857], [5.276313, 5.436782, 6.233037, 6.909527, 66.747217], [16.524013, 17.347358, 18.569939, 20.203030, 195.175208]]
### 8
mean: [-0.210178, 4.160315, 3.389277, 3.999532, -1.129373, 3.836429, -1.106046]
std: [0.137646, 1.761090, 1.572255, 1.771801, 0.561927, 1.761003, 0.472126]
pca: [[-0.008615, 0.750222, -0.180366, 0.173083, -0.138601, -0.251355, -0.540568, 0.000000, 0.000000, 0.000000], [0.500920, 0.408742, 0.240961, 0.096711, -0.401673, 0.043136, 0.592783, 0.000000, 0.000000, 0.000000], [0.447218, -0.355352, -0.461370, 0.315587, -0.405173, 0.331336, -0.295491, 0.000000, 0.000000, 0.000000], [0.504387, -0.023226, 0.577493, 0.177007, 0.463433, 0.164959, -0.371810, 0.000000, 0.000000, 0.000000], [-0.159226, 0.302292, 0.012796, -0.425759, -0.037472, 0.831447, -0.095522, 0.000000, 0.000000, 0.000000], [0.501293, 0.096067, -0.499326, -0.525467, 0.419374, -0.170455, 0.095424, 0.000000, 0.000000, 0.000000], [-0.133964, 0.206576, -0.336980, 0.610227, 0.513064, 0.278579, 0.335569, 0.000000, 0.000000, 0.000000]]
fourier: [[2.113228, 2.280658, 2.523822, 2.628292, 18.916029], [27.626821, 29.033416, 30.907430, 34.437167, 374.428335], [24.450815, 24.870510, 28.183140, 31.283874, 305.034896], [27.942098, 28.223190, 31.347023, 35.089709, 359.957899], [8.525225, 8.926056, 10.135090, 11.307806, 101.643542], [27.710153, 28.467162, 31.219155, 34.658960, 345.278634], [7.286184, 7.646509, 8.406176, 9.557976, 99.544102]]
### 10
mean: [-8.512921]
std: [3.607686]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[55.843894, 56.209903, 64.028962, 71.628066, 766.162909]]
## 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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71.6280663148316, 766.1629094183445]}}, "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": [[-0.735609, 0.013277, 0.033062, 0.145507, 0.5361], [0.789889, -0.816844, -0.328593, 0.123541, 0.497157], [-0.402851, 0.071965, -0.516011, 0.006726, 0.08645], [-0.436293, 0.050142, 0.295319, -0.415612, 0.11987], [0.607234, 0.197339, -0.636858, -0.460761, 0.196209], [-0.54687, 0.305966, 0.429219, 0.076461, 0.259037], [0.034906, -0.038331, -0.334074, -0.288305, -0.258467]], "network.0.bias": [0.350567, 0.214362, 0.147698, -0.148682, 0.137636, 0.145929, -0.248559], "network.2.weight": [[0.492346, -0.553907, 0.192168, 0.450714, 0.057707, -0.052229, 0.384234], [-0.120386, -0.602933, -0.06317, 0.127121, 0.394501, -0.047866, -0.597458], [0.460138, -0.31861, 0.030898, -0.177817, -0.208321, 0.337191, 0.462378], [0.412063, -0.536144, 0.009389, 0.517249, -0.309261, 0.034205, 0.420163], [-0.050861, 0.741594, 0.180525, -0.072825, 0.63429, 0.197783, -0.419162], [-0.344057, -0.192828, -0.113816, 0.12318, -0.136765, -0.367093, 0.524941], [-0.387806, 0.060148, -0.185277, -0.077081, -0.534773, -0.265292, 0.468023]], "network.2.bias": [0.235996, 0.299469, -0.457965, -0.139603, -0.002799, -0.112855, -0.108503], "network.4.weight": [[-0.596262, 0.264285, -0.144548, -0.063485, -0.111863, 0.223867, 0.259828], [0.425568, -0.216716, 0.467174, 0.215984, 0.088286, 0.345945, 0.326987], [-0.34015, -0.19335, -0.204514, -0.293959, -0.372481, 0.210939, -0.036741], [0.087832, -0.199935, 0.427359, 0.499962, -0.345466, 0.197597, 0.543547], [-0.328994, -0.068392, -0.184665, -0.023232, -0.63164, 0.348478, -0.064204], [-0.053257, 0.352, -0.322826, -0.155347, 0.257615, -0.287726, -0.466946], [-0.007397, -0.047917, -0.343722, -0.292311, 0.400856, -0.856928, -0.816912]], "network.4.bias": [-0.532702, -0.30374, -0.321682, 0.033299, -0.577737, 0.747221, 0.697417], "network.6.weight": [[-0.335089, -0.208606, -0.146567, -0.07731, -0.08, 0.49354, 0.408306], [-0.126206, -0.397514, -0.42347, -0.145807, -0.49643, 0.4162, 0.755956], [-0.091721, 0.064776, 0.684507, -0.058039, 0.377911, -0.060327, -0.448411], [-0.181075, 0.477376, 0.168642, 0.536463, -0.177959, 0.179244, -0.315908], [-0.824277, -0.311124, -0.480018, -0.095389, -0.204133, 0.696803, 0.51665], [0.439848, 0.094218, 0.540323, 0.247097, -0.286886, -0.250588, -0.211044], [-0.348553, -0.254469, -0.75917, -0.312771, -0.119607, 0.926, 0.802977]], "network.6.bias": [0.310787, 0.559525, -0.262754, -0.223738, 0.343187, -0.261895, 0.536864], "network.8.weight": [[0.282511, 0.027649, 0.03823, 0.576865, 0.165177, -4.9e-05, -0.204384], [0.480535, 0.847203, -0.414734, 0.004275, 0.688757, -0.769059, 0.287245], [0.186816, 0.262112, -0.216608, -0.521944, 0.307508, -0.968634, 0.864704], [0.19369, 0.798795, -0.738046, -0.381178, 0.75327, -0.433198, 0.376967], [0.033019, -0.163713, 0.381888, 0.238531, -0.045137, 0.506169, -0.341065], [0.763328, 0.367779, -0.743383, -0.434466, 0.414192, -0.263517, 0.628014], [-0.033891, -0.338695, -0.238545, 0.232276, -0.195018, 0.304393, 0.016783]], "network.8.bias": [-0.330897, 0.458204, 0.272872, 0.367816, 0.039438, 0.318233, -0.243947], "network.10.weight": [[0.634413, -0.540489, -0.47488, -0.551287, 0.439799, -0.525524, 0.556465]], "network.10.bias": [-0.274649]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6919974982738495, "train_acc": 0.485, "val_loss": 0.6650210618972778, "val_acc": 0.84}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6490921676158905, "train_acc": 0.71, "val_loss": 0.6108141541481018, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.599326878786087, "train_acc": 0.71, "val_loss": 0.5070039629936218, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49120327830314636, "train_acc": 0.805, "val_loss": 0.45616936683654785, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.43190690875053406, "train_acc": 0.805, "val_loss": 0.35583481192588806, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3660650700330734, "train_acc": 0.83, "val_loss": 0.5095210075378418, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4266117960214615, "train_acc": 0.82, "val_loss": 0.34028980135917664, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3339850604534149, "train_acc": 0.86, "val_loss": 0.3703373372554779, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3704148977994919, "train_acc": 0.855, "val_loss": 0.3795785903930664, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3671748489141464, "train_acc": 0.835, "val_loss": 0.39482948184013367, "val_acc": 0.76}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6650210618972778, "final_val_loss": 0.6108141541481018, "initial_val_acc": 0.84, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5070039629936218, "final_val_loss": 0.39482948184013367, "initial_val_acc": 0.82, "final_val_acc": 0.76, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
9,975
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.74, "improved_accuracy": 0.9, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2123, "learning_rate": 0.08205593712948366, "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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0.03747
],
[
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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.6.weight": [
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.093050, 0.476360, -1.203923, -0.717895, -2.125869, 0.445310, 1.068010, -3.123150]
std: [1.255261, 2.370308, 2.460036, 1.928538, 1.938320, 1.580220, 1.941855, 1.834372]
pca: [[-0.242046, 0.197409, -0.161555, 0.553221, -0.097703, -0.533807, -0.428291, -0.303909, 0.000000, 0.000000], [0.488330, -0.441166, -0.138450, -0.201124, -0.301210, 0.108995, -0.595770, -0.223018, 0.000000, 0.000000], [0.407066, 0.628347, -0.016560, -0.234763, -0.487880, -0.173135, 0.252210, -0.229079, 0.000000, 0.000000], [0.459301, 0.136358, -0.034778, -0.203252, 0.725236, -0.430954, -0.114360, 0.056230, 0.000000, 0.000000], [0.443478, 0.115580, 0.238595, 0.554758, -0.139211, 0.103368, -0.107390, 0.619425, 0.000000, 0.000000], [0.121783, 0.346749, -0.486292, 0.261424, 0.294348, 0.636765, -0.070536, -0.251048, 0.000000, 0.000000], [0.331668, -0.463020, -0.152354, 0.403777, 0.008828, -0.157703, 0.600861, -0.321528, 0.000000, 0.000000], [0.069135, 0.070765, 0.797890, 0.133924, 0.172147, 0.215519, -0.085993, -0.502166, 0.000000, 0.000000]]
fourier: [[18.920602, 19.156867, 19.915265, 22.040744, 22.824376], [38.289203, 40.222365, 41.681814, 42.872439, 43.223903], [41.284527, 43.322097, 43.432792, 54.349881, 108.353081], [29.196011, 29.716243, 31.348600, 40.019343, 64.610520], [31.915073, 31.980519, 32.854085, 35.377013, 191.328205], [23.423516, 25.093013, 29.627461, 35.774963, 40.077872], [29.240585, 33.377669, 34.039019, 39.223681, 96.120898], [29.635266, 30.568778, 30.734800, 36.132598, 281.083448]]
### 2
mean: [2.465972, 2.958875, -1.001924, -1.108792, 2.729479, -1.049961, 2.514296, 2.330902]
std: [2.346293, 3.341966, 1.905712, 1.271983, 3.026561, 0.722583, 2.172571, 2.474950]
pca: [[0.359292, -0.377728, -0.258187, 0.541398, 0.282654, 0.087584, -0.377037, 0.372475, 0.000000, 0.000000], [0.519453, 0.385114, -0.163714, -0.076287, 0.552069, -0.183327, 0.030410, -0.458171, 0.000000, 0.000000], [-0.280250, -0.532060, 0.367505, -0.085252, 0.588612, -0.310613, 0.227998, -0.033418, 0.000000, 0.000000], [-0.192444, 0.112545, 0.296084, 0.615724, 0.099310, 0.523824, 0.176196, -0.410143, 0.000000, 0.000000], [0.473981, -0.101439, 0.209623, -0.309195, 0.072956, 0.530181, 0.475584, 0.336027, 0.000000, 0.000000], [-0.017730, 0.570347, 0.397976, 0.290067, 0.117674, -0.325133, 0.109728, 0.547967, 0.000000, 0.000000], [0.336820, -0.244651, -0.058464, 0.359165, -0.424130, -0.441038, 0.542096, -0.161281, 0.000000, 0.000000], [0.383514, -0.133475, 0.691424, -0.077102, -0.244834, -0.080808, -0.491733, -0.206918, 0.000000, 0.000000]]
fourier: [[36.114925, 41.010937, 45.099077, 45.590655, 221.937458], [47.577724, 53.423228, 61.046912, 66.726300, 266.298805], [29.127510, 30.736805, 31.231236, 39.523169, 90.173190], [17.899103, 19.575476, 21.065219, 26.669012, 99.791254], [43.849098, 47.958372, 53.752348, 60.153750, 245.653078], [11.209865, 11.761246, 14.654909, 16.976989, 94.496507], [33.369122, 37.959047, 38.751628, 43.355529, 226.286638], [35.970006, 38.992566, 46.399883, 46.951371, 209.781190]]
### 4
mean: [-6.384427, -6.504227, 8.850725, -8.237529, -6.407442, 3.616677, -3.740173, -0.571293]
std: [5.055540, 6.513930, 8.542160, 6.840107, 5.061376, 3.234903, 3.004930, 1.787066]
pca: [[-0.329216, 0.330985, -0.062700, -0.143041, 0.243349, -0.065876, -0.239644, 0.797926, 0.000000, 0.000000], [-0.424484, -0.290413, -0.226278, 0.266831, 0.331779, 0.666009, 0.243767, 0.002393, 0.000000, 0.000000], [0.556772, 0.363183, -0.107722, 0.084446, -0.223018, 0.373322, 0.490093, 0.331769, 0.000000, 0.000000], [-0.445012, 0.497041, -0.480044, -0.262543, -0.367968, 0.016753, 0.117260, -0.325748, 0.000000, 0.000000], [-0.329082, 0.199382, 0.749012, -0.209773, 0.054796, 0.009556, 0.489341, -0.066186, 0.000000, 0.000000], [0.210033, 0.335883, -0.213308, -0.020335, 0.787239, -0.249105, 0.201952, -0.273078, 0.000000, 0.000000], [-0.195277, 0.264141, 0.068488, 0.883198, -0.126077, -0.297313, 0.055311, 0.004089, 0.000000, 0.000000], [-0.113390, -0.452566, -0.302674, -0.088445, -0.083207, -0.511765, 0.588141, 0.261068, 0.000000, 0.000000]]
fourier: [[78.932515, 88.264437, 90.076123, 98.802934, 574.598400], [102.895341, 104.970889, 117.477098, 130.085418, 585.380423], [135.494868, 137.453121, 153.222420, 170.352419, 796.565300], [106.857111, 119.230839, 122.943766, 134.288481, 741.377634], [78.708176, 88.192036, 88.367966, 98.487153, 576.669764], [49.293758, 51.681907, 58.919287, 65.040947, 325.500993], [45.571639, 53.190901, 54.718986, 57.588380, 336.615546], [26.141333, 29.936280, 32.900553, 37.059365, 51.416386]]
### 6
mean: [5.175905, -2.464689, -3.407347, -4.323992, 4.740894, -1.959458, -3.617217, 3.805282]
std: [5.168652, 2.168885, 2.939722, 3.267544, 4.982357, 1.335138, 5.030818, 4.594370]
pca: [[0.465348, 0.129427, 0.226418, -0.131959, 0.714449, 0.187832, 0.199137, 0.335630, 0.000000, 0.000000], [-0.194422, -0.314571, -0.324250, -0.051955, 0.322118, -0.681308, -0.182090, 0.392824, 0.000000, 0.000000], [-0.263123, -0.496221, -0.334386, 0.124393, 0.178990, 0.682856, -0.173069, 0.170179, 0.000000, 0.000000], [-0.293278, -0.387816, 0.758923, 0.253652, 0.228749, -0.104216, -0.114132, -0.216957, 0.000000, 0.000000], [0.448587, -0.090833, 0.091978, 0.675115, -0.325411, -0.038230, -0.174562, 0.434112, 0.000000, 0.000000], [-0.118648, -0.330704, 0.235589, -0.326980, -0.386609, 0.024996, 0.591824, 0.462377, 0.000000, 0.000000], [-0.451972, 0.525384, 0.254607, -0.115222, -0.064358, 0.142173, -0.403912, 0.504076, 0.000000, 0.000000], [0.413303, -0.306617, 0.164416, -0.569300, -0.204791, 0.032943, -0.583383, -0.025917, 0.000000, 0.000000]]
fourier: [[82.494161, 82.812288, 91.987018, 103.747035, 465.831411], [34.034897, 37.089443, 38.095981, 42.120383, 221.822014], [46.155507, 50.638649, 51.330818, 56.915280, 306.661218], [51.864507, 53.849540, 57.727609, 64.419008, 389.159274], [78.156014, 79.387833, 89.767479, 100.164777, 426.680465], [20.486243, 23.504947, 23.517989, 24.912686, 176.351254], [74.586892, 81.360927, 90.723245, 103.378794, 325.549501], [69.832302, 74.325000, 81.922524, 94.376659, 342.475400]]
### 8
mean: [-4.367665]
std: [5.818994]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.356859, 93.923038, 104.110219, 118.557807, 393.089850]]
## 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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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.093050, 0.476360, -1.203923, -0.717895, -2.125869, 0.445310, 1.068010, -3.123150]
std: [1.255261, 2.370308, 2.460036, 1.928538, 1.938320, 1.580220, 1.941855, 1.834372]
pca: [[-0.242046, 0.197409, -0.161555, 0.553221, -0.097703, -0.533807, -0.428291, -0.303909, 0.000000, 0.000000], [0.488330, -0.441166, -0.138450, -0.201124, -0.301210, 0.108995, -0.595770, -0.223018, 0.000000, 0.000000], [0.407066, 0.628347, -0.016560, -0.234763, -0.487880, -0.173135, 0.252210, -0.229079, 0.000000, 0.000000], [0.459301, 0.136358, -0.034778, -0.203252, 0.725236, -0.430954, -0.114360, 0.056230, 0.000000, 0.000000], [0.443478, 0.115580, 0.238595, 0.554758, -0.139211, 0.103368, -0.107390, 0.619425, 0.000000, 0.000000], [0.121783, 0.346749, -0.486292, 0.261424, 0.294348, 0.636765, -0.070536, -0.251048, 0.000000, 0.000000], [0.331668, -0.463020, -0.152354, 0.403777, 0.008828, -0.157703, 0.600861, -0.321528, 0.000000, 0.000000], [0.069135, 0.070765, 0.797890, 0.133924, 0.172147, 0.215519, -0.085993, -0.502166, 0.000000, 0.000000]]
fourier: [[18.920602, 19.156867, 19.915265, 22.040744, 22.824376], [38.289203, 40.222365, 41.681814, 42.872439, 43.223903], [41.284527, 43.322097, 43.432792, 54.349881, 108.353081], [29.196011, 29.716243, 31.348600, 40.019343, 64.610520], [31.915073, 31.980519, 32.854085, 35.377013, 191.328205], [23.423516, 25.093013, 29.627461, 35.774963, 40.077872], [29.240585, 33.377669, 34.039019, 39.223681, 96.120898], [29.635266, 30.568778, 30.734800, 36.132598, 281.083448]]
### 2
mean: [2.465972, 2.958875, -1.001924, -1.108792, 2.729479, -1.049961, 2.514296, 2.330902]
std: [2.346293, 3.341966, 1.905712, 1.271983, 3.026561, 0.722583, 2.172571, 2.474950]
pca: [[0.359292, -0.377728, -0.258187, 0.541398, 0.282654, 0.087584, -0.377037, 0.372475, 0.000000, 0.000000], [0.519453, 0.385114, -0.163714, -0.076287, 0.552069, -0.183327, 0.030410, -0.458171, 0.000000, 0.000000], [-0.280250, -0.532060, 0.367505, -0.085252, 0.588612, -0.310613, 0.227998, -0.033418, 0.000000, 0.000000], [-0.192444, 0.112545, 0.296084, 0.615724, 0.099310, 0.523824, 0.176196, -0.410143, 0.000000, 0.000000], [0.473981, -0.101439, 0.209623, -0.309195, 0.072956, 0.530181, 0.475584, 0.336027, 0.000000, 0.000000], [-0.017730, 0.570347, 0.397976, 0.290067, 0.117674, -0.325133, 0.109728, 0.547967, 0.000000, 0.000000], [0.336820, -0.244651, -0.058464, 0.359165, -0.424130, -0.441038, 0.542096, -0.161281, 0.000000, 0.000000], [0.383514, -0.133475, 0.691424, -0.077102, -0.244834, -0.080808, -0.491733, -0.206918, 0.000000, 0.000000]]
fourier: [[36.114925, 41.010937, 45.099077, 45.590655, 221.937458], [47.577724, 53.423228, 61.046912, 66.726300, 266.298805], [29.127510, 30.736805, 31.231236, 39.523169, 90.173190], [17.899103, 19.575476, 21.065219, 26.669012, 99.791254], [43.849098, 47.958372, 53.752348, 60.153750, 245.653078], [11.209865, 11.761246, 14.654909, 16.976989, 94.496507], [33.369122, 37.959047, 38.751628, 43.355529, 226.286638], [35.970006, 38.992566, 46.399883, 46.951371, 209.781190]]
### 4
mean: [-6.384427, -6.504227, 8.850725, -8.237529, -6.407442, 3.616677, -3.740173, -0.571293]
std: [5.055540, 6.513930, 8.542160, 6.840107, 5.061376, 3.234903, 3.004930, 1.787066]
pca: [[-0.329216, 0.330985, -0.062700, -0.143041, 0.243349, -0.065876, -0.239644, 0.797926, 0.000000, 0.000000], [-0.424484, -0.290413, -0.226278, 0.266831, 0.331779, 0.666009, 0.243767, 0.002393, 0.000000, 0.000000], [0.556772, 0.363183, -0.107722, 0.084446, -0.223018, 0.373322, 0.490093, 0.331769, 0.000000, 0.000000], [-0.445012, 0.497041, -0.480044, -0.262543, -0.367968, 0.016753, 0.117260, -0.325748, 0.000000, 0.000000], [-0.329082, 0.199382, 0.749012, -0.209773, 0.054796, 0.009556, 0.489341, -0.066186, 0.000000, 0.000000], [0.210033, 0.335883, -0.213308, -0.020335, 0.787239, -0.249105, 0.201952, -0.273078, 0.000000, 0.000000], [-0.195277, 0.264141, 0.068488, 0.883198, -0.126077, -0.297313, 0.055311, 0.004089, 0.000000, 0.000000], [-0.113390, -0.452566, -0.302674, -0.088445, -0.083207, -0.511765, 0.588141, 0.261068, 0.000000, 0.000000]]
fourier: [[78.932515, 88.264437, 90.076123, 98.802934, 574.598400], [102.895341, 104.970889, 117.477098, 130.085418, 585.380423], [135.494868, 137.453121, 153.222420, 170.352419, 796.565300], [106.857111, 119.230839, 122.943766, 134.288481, 741.377634], [78.708176, 88.192036, 88.367966, 98.487153, 576.669764], [49.293758, 51.681907, 58.919287, 65.040947, 325.500993], [45.571639, 53.190901, 54.718986, 57.588380, 336.615546], [26.141333, 29.936280, 32.900553, 37.059365, 51.416386]]
### 6
mean: [5.175905, -2.464689, -3.407347, -4.323992, 4.740894, -1.959458, -3.617217, 3.805282]
std: [5.168652, 2.168885, 2.939722, 3.267544, 4.982357, 1.335138, 5.030818, 4.594370]
pca: [[0.465348, 0.129427, 0.226418, -0.131959, 0.714449, 0.187832, 0.199137, 0.335630, 0.000000, 0.000000], [-0.194422, -0.314571, -0.324250, -0.051955, 0.322118, -0.681308, -0.182090, 0.392824, 0.000000, 0.000000], [-0.263123, -0.496221, -0.334386, 0.124393, 0.178990, 0.682856, -0.173069, 0.170179, 0.000000, 0.000000], [-0.293278, -0.387816, 0.758923, 0.253652, 0.228749, -0.104216, -0.114132, -0.216957, 0.000000, 0.000000], [0.448587, -0.090833, 0.091978, 0.675115, -0.325411, -0.038230, -0.174562, 0.434112, 0.000000, 0.000000], [-0.118648, -0.330704, 0.235589, -0.326980, -0.386609, 0.024996, 0.591824, 0.462377, 0.000000, 0.000000], [-0.451972, 0.525384, 0.254607, -0.115222, -0.064358, 0.142173, -0.403912, 0.504076, 0.000000, 0.000000], [0.413303, -0.306617, 0.164416, -0.569300, -0.204791, 0.032943, -0.583383, -0.025917, 0.000000, 0.000000]]
fourier: [[82.494161, 82.812288, 91.987018, 103.747035, 465.831411], [34.034897, 37.089443, 38.095981, 42.120383, 221.822014], [46.155507, 50.638649, 51.330818, 56.915280, 306.661218], [51.864507, 53.849540, 57.727609, 64.419008, 389.159274], [78.156014, 79.387833, 89.767479, 100.164777, 426.680465], [20.486243, 23.504947, 23.517989, 24.912686, 176.351254], [74.586892, 81.360927, 90.723245, 103.378794, 325.549501], [69.832302, 74.325000, 81.922524, 94.376659, 342.475400]]
### 8
mean: [-4.367665]
std: [5.818994]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.356859, 93.923038, 104.110219, 118.557807, 393.089850]]
## 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": 0.7212872803211212, "train_acc": 0.48, "val_loss": 0.6164734959602356, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6128559410572052, "train_acc": 0.6, "val_loss": 0.49257349967956543, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.462352991104126, "train_acc": 0.765, "val_loss": 0.3773629367351532, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.31955258548259735, "train_acc": 0.885, "val_loss": 0.33936387300491333, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4178890883922577, "train_acc": 0.89, "val_loss": 0.5003824830055237, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3044736757874489, "train_acc": 0.885, "val_loss": 0.3901272714138031, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2626047879457474, "train_acc": 0.915, "val_loss": 0.32182449102401733, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.32735830545425415, "train_acc": 0.9, "val_loss": 0.31617462635040283, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.231116384267807, "train_acc": 0.93, "val_loss": 0.3298642039299011, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23728135228157043, "train_acc": 0.92, "val_loss": 0.3365282118320465, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.210179403424263, "train_acc": 0.92, "val_loss": 0.30704963207244873, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.19946777075529099, "train_acc": 0.94, "val_loss": 0.2789088785648346, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6164734959602356, "final_val_loss": 0.49257349967956543, "initial_val_acc": 0.56, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.3773629367351532, "final_val_loss": 0.2789088785648346, "initial_val_acc": 0.84, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
9,976
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.74, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1516, "learning_rate": 0.0777822756371018, "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: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.6.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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]
}
## Activation Signature
### 0
mean: [-2.041663, 1.119494, 1.126643, -1.242929, -3.242101, -1.605615, 0.300931, 1.095324]
std: [1.105405, 1.042391, 2.111751, 2.017612, 2.297026, 2.357416, 1.729283, 1.528975]
pca: [[-0.171368, -0.265141, -0.152445, 0.446431, 0.166493, 0.671360, -0.440471, -0.073041, 0.000000, 0.000000], [0.150150, 0.192319, 0.117694, 0.732046, 0.040445, -0.438912, -0.192838, 0.399072, 0.000000, 0.000000], [-0.352293, -0.135063, 0.701424, 0.026753, 0.289714, 0.204886, 0.371882, 0.317377, 0.000000, 0.000000], [-0.497415, 0.207459, -0.340836, -0.234074, -0.266563, 0.079972, -0.139697, 0.664539, 0.000000, 0.000000], [-0.492726, -0.409653, -0.403637, 0.124687, 0.389559, -0.440486, 0.205362, -0.151585, 0.000000, 0.000000], [0.564182, -0.367007, -0.330535, -0.043561, 0.211088, 0.181398, 0.347052, 0.487797, 0.000000, 0.000000], [-0.095618, 0.543392, -0.279395, 0.351646, -0.022808, 0.285005, 0.617876, -0.174206, 0.000000, 0.000000], [0.079582, 0.483372, -0.067127, -0.261156, 0.786651, 0.009839, -0.258067, 0.042361, 0.000000, 0.000000]]
fourier: [[16.666397, 17.230673, 20.654412, 21.152410, 183.749646], [16.199042, 16.749812, 18.089246, 20.944840, 100.754460], [28.612035, 30.328497, 39.206649, 40.826056, 101.397833], [32.721206, 36.357073, 37.152611, 44.482066, 111.863651], [36.047092, 38.774897, 47.669241, 48.019665, 291.789050], [33.914517, 34.258275, 39.073858, 45.912779, 144.505346], [24.613325, 24.793162, 27.083822, 28.296862, 36.976060], [24.411203, 25.071140, 28.159091, 30.040115, 98.579134]]
### 2
mean: [1.014158, 0.681086, -0.556147, 2.163932, 0.598915, -1.059038, 0.519880, -1.461887]
std: [1.244555, 1.091802, 0.286005, 2.075786, 0.635358, 0.311158, 0.737125, 0.833302]
pca: [[0.397088, 0.468909, 0.661045, -0.176334, -0.157430, 0.330947, 0.130141, 0.055900, 0.000000, 0.000000], [0.400891, -0.093394, -0.362913, -0.542729, -0.159015, -0.232083, 0.507368, 0.260255, 0.000000, 0.000000], [0.003095, 0.031547, -0.129174, 0.610802, -0.438649, 0.151002, 0.188871, 0.598618, 0.000000, 0.000000], [0.789730, -0.200438, -0.218563, 0.249170, -0.039872, 0.085770, -0.413511, -0.215309, 0.000000, 0.000000], [0.224768, 0.060526, 0.112079, 0.288114, 0.818911, -0.182026, 0.244059, 0.294841, 0.000000, 0.000000], [-0.006147, 0.192176, -0.301942, 0.257106, 0.054402, 0.369944, 0.580011, -0.574045, 0.000000, 0.000000], [-0.060238, -0.566586, 0.038465, -0.215957, 0.205823, 0.733201, 0.029162, 0.215493, 0.000000, 0.000000], [-0.061133, 0.607138, -0.511516, -0.208412, 0.199975, 0.314447, -0.349499, 0.248083, 0.000000, 0.000000]]
fourier: [[22.040381, 22.816136, 25.449514, 26.805369, 91.274263], [16.630557, 17.535144, 17.772614, 24.865209, 61.297717], [4.581317, 4.584570, 5.134113, 5.964701, 50.053228], [31.510578, 32.780679, 34.022719, 42.529319, 194.753860], [9.939776, 10.079731, 10.822893, 11.628243, 53.902322], [4.723982, 5.156035, 5.310632, 5.382992, 95.313435], [10.088873, 10.866883, 11.129068, 14.635937, 46.789154], [13.276104, 13.561837, 13.999902, 15.824657, 131.569794]]
### 4
mean: [-1.838424, 2.134914, 0.004605, -2.002234, -1.840816, 1.113517, 0.581449, 2.559455]
std: [1.284501, 1.559596, 0.569919, 1.723366, 1.938865, 1.241043, 0.592476, 2.336703]
pca: [[-0.301630, 0.117820, -0.042682, 0.710457, -0.370801, -0.298418, 0.296188, 0.272567, 0.000000, 0.000000], [0.361925, -0.393804, -0.389783, 0.338200, 0.378203, -0.428233, 0.019703, -0.347576, 0.000000, 0.000000], [-0.118360, -0.386682, 0.630071, 0.322389, 0.466400, 0.126373, -0.180533, 0.263540, 0.000000, 0.000000], [-0.396163, 0.568659, -0.155236, 0.125046, 0.411302, -0.182891, -0.513394, -0.117277, 0.000000, 0.000000], [-0.454412, -0.268814, -0.511081, 0.116842, 0.187206, 0.617051, 0.172571, -0.028528, 0.000000, 0.000000], [0.281674, 0.501674, 0.215185, 0.222001, 0.330523, 0.295598, 0.549366, -0.273802, 0.000000, 0.000000], [0.137887, 0.119360, -0.273388, -0.246082, 0.399310, -0.185985, 0.262454, 0.754004, 0.000000, 0.000000], [0.549756, 0.141264, -0.207150, 0.371225, -0.170386, 0.418836, -0.463952, 0.278187, 0.000000, 0.000000]]
fourier: [[20.699729, 21.126395, 21.609243, 24.362402, 165.458144], [23.574789, 25.226552, 25.733381, 32.049692, 192.142266], [8.523449, 9.348054, 9.861849, 10.395216, 10.707076], [26.584071, 27.289512, 28.011765, 37.441949, 180.201083], [32.010477, 32.235948, 33.616529, 33.839947, 165.673485], [21.620180, 21.804155, 22.627921, 23.430001, 100.216500], [9.447239, 9.947218, 10.009527, 10.726859, 52.330398], [38.544382, 38.944584, 40.002082, 40.115418, 230.350985]]
### 6
mean: [-0.933196, -1.609522, 2.382330, 0.788113, 1.094630, -2.089988, -2.067436, 1.845173]
std: [0.351774, 1.023749, 1.871279, 0.765064, 1.473634, 1.614163, 1.501879, 1.685173]
pca: [[-0.090477, 0.089018, -0.049233, 0.479449, -0.103142, 0.212460, 0.641739, 0.532905, 0.000000, 0.000000], [-0.259131, 0.549912, -0.433851, 0.183205, -0.341414, -0.241839, 0.129016, -0.465792, 0.000000, 0.000000], [0.481887, 0.306323, 0.569773, -0.053179, -0.171699, -0.504826, 0.249300, -0.001052, 0.000000, 0.000000], [0.195521, -0.303460, 0.217382, 0.699936, -0.366543, 0.148259, -0.306023, -0.287286, 0.000000, 0.000000], [0.379516, 0.346962, -0.156294, -0.273430, -0.509980, 0.459482, -0.280588, 0.294041, 0.000000, 0.000000], [-0.415004, 0.310524, 0.605000, -0.105370, 0.033138, 0.518537, 0.087115, -0.276860, 0.000000, 0.000000], [-0.386978, 0.324301, 0.173401, 0.246764, 0.064713, -0.304756, -0.564630, 0.488104, 0.000000, 0.000000], [0.433830, 0.426347, -0.130126, 0.311554, 0.666032, 0.216021, -0.102953, -0.123122, 0.000000, 0.000000]]
fourier: [[5.810115, 5.944685, 6.119799, 6.219446, 83.987660], [16.139203, 16.598682, 17.042535, 20.487220, 144.856941], [29.385606, 32.000648, 32.133828, 34.152848, 214.409678], [12.205948, 12.463296, 12.700297, 14.623132, 70.930127], [24.915518, 24.981519, 25.753485, 25.810006, 98.516712], [26.409858, 26.515448, 26.943820, 27.997369, 188.098899], [23.908156, 25.138630, 25.737713, 25.911196, 186.069243], [28.261434, 28.613084, 29.519136, 29.794449, 166.065614]]
### 8
mean: [2.277733, 1.709180, -1.074674, -1.510236, -2.195503, -1.117174, -2.184999, -0.649700]
std: [1.877748, 1.561243, 0.722584, 1.148750, 1.896323, 0.734463, 1.764835, 0.214716]
pca: [[-0.483526, 0.069024, 0.095754, 0.041086, 0.451927, 0.584764, -0.015890, 0.451820, 0.000000, 0.000000], [-0.401933, -0.202294, 0.401528, -0.050005, -0.384150, -0.451704, -0.225130, 0.481155, 0.000000, 0.000000], [0.185901, -0.061683, 0.532096, 0.218131, -0.086425, 0.082985, 0.780899, 0.082274, 0.000000, 0.000000], [0.295512, 0.273860, 0.676008, 0.001925, -0.015560, 0.261851, -0.517244, -0.210555, 0.000000, 0.000000], [0.488263, -0.212953, 0.055701, 0.084255, 0.637296, -0.375082, -0.124110, 0.379227, 0.000000, 0.000000], [0.189012, 0.091993, -0.239186, 0.814227, -0.316695, 0.149040, -0.182824, 0.282318, 0.000000, 0.000000], [0.454411, -0.158866, -0.152830, -0.504529, -0.366094, 0.385858, -0.005163, 0.455442, 0.000000, 0.000000], [0.046372, 0.892445, -0.076315, -0.153665, -0.003683, -0.258411, 0.151207, 0.286882, 0.000000, 0.000000]]
fourier: [[31.012206, 31.715734, 32.447394, 32.792335, 204.995968], [25.240257, 26.488345, 27.072507, 27.186655, 153.826209], [12.214977, 12.334287, 12.664527, 12.690570, 96.720695], [19.014161, 19.671363, 19.919140, 20.690737, 135.921215], [31.602947, 31.939177, 32.612433, 33.204060, 197.595237], [11.882767, 12.376855, 12.656720, 12.682056, 100.545653], [29.215230, 29.779919, 30.376604, 30.896623, 196.649862], [3.462407, 3.585180, 3.633656, 4.472972, 58.473034]]
### 10
mean: [-1.309840]
std: [1.264314]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.677118, 21.444087, 21.879578, 21.984969, 117.885569]]
## 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: 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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],
"network.10.bias": [
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}
## Activation Signature
### 0
mean: [-2.041663, 1.119494, 1.126643, -1.242929, -3.242101, -1.605615, 0.300931, 1.095324]
std: [1.105405, 1.042391, 2.111751, 2.017612, 2.297026, 2.357416, 1.729283, 1.528975]
pca: [[-0.171368, -0.265141, -0.152445, 0.446431, 0.166493, 0.671360, -0.440471, -0.073041, 0.000000, 0.000000], [0.150150, 0.192319, 0.117694, 0.732046, 0.040445, -0.438912, -0.192838, 0.399072, 0.000000, 0.000000], [-0.352293, -0.135063, 0.701424, 0.026753, 0.289714, 0.204886, 0.371882, 0.317377, 0.000000, 0.000000], [-0.497415, 0.207459, -0.340836, -0.234074, -0.266563, 0.079972, -0.139697, 0.664539, 0.000000, 0.000000], [-0.492726, -0.409653, -0.403637, 0.124687, 0.389559, -0.440486, 0.205362, -0.151585, 0.000000, 0.000000], [0.564182, -0.367007, -0.330535, -0.043561, 0.211088, 0.181398, 0.347052, 0.487797, 0.000000, 0.000000], [-0.095618, 0.543392, -0.279395, 0.351646, -0.022808, 0.285005, 0.617876, -0.174206, 0.000000, 0.000000], [0.079582, 0.483372, -0.067127, -0.261156, 0.786651, 0.009839, -0.258067, 0.042361, 0.000000, 0.000000]]
fourier: [[16.666397, 17.230673, 20.654412, 21.152410, 183.749646], [16.199042, 16.749812, 18.089246, 20.944840, 100.754460], [28.612035, 30.328497, 39.206649, 40.826056, 101.397833], [32.721206, 36.357073, 37.152611, 44.482066, 111.863651], [36.047092, 38.774897, 47.669241, 48.019665, 291.789050], [33.914517, 34.258275, 39.073858, 45.912779, 144.505346], [24.613325, 24.793162, 27.083822, 28.296862, 36.976060], [24.411203, 25.071140, 28.159091, 30.040115, 98.579134]]
### 2
mean: [1.014158, 0.681086, -0.556147, 2.163932, 0.598915, -1.059038, 0.519880, -1.461887]
std: [1.244555, 1.091802, 0.286005, 2.075786, 0.635358, 0.311158, 0.737125, 0.833302]
pca: [[0.397088, 0.468909, 0.661045, -0.176334, -0.157430, 0.330947, 0.130141, 0.055900, 0.000000, 0.000000], [0.400891, -0.093394, -0.362913, -0.542729, -0.159015, -0.232083, 0.507368, 0.260255, 0.000000, 0.000000], [0.003095, 0.031547, -0.129174, 0.610802, -0.438649, 0.151002, 0.188871, 0.598618, 0.000000, 0.000000], [0.789730, -0.200438, -0.218563, 0.249170, -0.039872, 0.085770, -0.413511, -0.215309, 0.000000, 0.000000], [0.224768, 0.060526, 0.112079, 0.288114, 0.818911, -0.182026, 0.244059, 0.294841, 0.000000, 0.000000], [-0.006147, 0.192176, -0.301942, 0.257106, 0.054402, 0.369944, 0.580011, -0.574045, 0.000000, 0.000000], [-0.060238, -0.566586, 0.038465, -0.215957, 0.205823, 0.733201, 0.029162, 0.215493, 0.000000, 0.000000], [-0.061133, 0.607138, -0.511516, -0.208412, 0.199975, 0.314447, -0.349499, 0.248083, 0.000000, 0.000000]]
fourier: [[22.040381, 22.816136, 25.449514, 26.805369, 91.274263], [16.630557, 17.535144, 17.772614, 24.865209, 61.297717], [4.581317, 4.584570, 5.134113, 5.964701, 50.053228], [31.510578, 32.780679, 34.022719, 42.529319, 194.753860], [9.939776, 10.079731, 10.822893, 11.628243, 53.902322], [4.723982, 5.156035, 5.310632, 5.382992, 95.313435], [10.088873, 10.866883, 11.129068, 14.635937, 46.789154], [13.276104, 13.561837, 13.999902, 15.824657, 131.569794]]
### 4
mean: [-1.838424, 2.134914, 0.004605, -2.002234, -1.840816, 1.113517, 0.581449, 2.559455]
std: [1.284501, 1.559596, 0.569919, 1.723366, 1.938865, 1.241043, 0.592476, 2.336703]
pca: [[-0.301630, 0.117820, -0.042682, 0.710457, -0.370801, -0.298418, 0.296188, 0.272567, 0.000000, 0.000000], [0.361925, -0.393804, -0.389783, 0.338200, 0.378203, -0.428233, 0.019703, -0.347576, 0.000000, 0.000000], [-0.118360, -0.386682, 0.630071, 0.322389, 0.466400, 0.126373, -0.180533, 0.263540, 0.000000, 0.000000], [-0.396163, 0.568659, -0.155236, 0.125046, 0.411302, -0.182891, -0.513394, -0.117277, 0.000000, 0.000000], [-0.454412, -0.268814, -0.511081, 0.116842, 0.187206, 0.617051, 0.172571, -0.028528, 0.000000, 0.000000], [0.281674, 0.501674, 0.215185, 0.222001, 0.330523, 0.295598, 0.549366, -0.273802, 0.000000, 0.000000], [0.137887, 0.119360, -0.273388, -0.246082, 0.399310, -0.185985, 0.262454, 0.754004, 0.000000, 0.000000], [0.549756, 0.141264, -0.207150, 0.371225, -0.170386, 0.418836, -0.463952, 0.278187, 0.000000, 0.000000]]
fourier: [[20.699729, 21.126395, 21.609243, 24.362402, 165.458144], [23.574789, 25.226552, 25.733381, 32.049692, 192.142266], [8.523449, 9.348054, 9.861849, 10.395216, 10.707076], [26.584071, 27.289512, 28.011765, 37.441949, 180.201083], [32.010477, 32.235948, 33.616529, 33.839947, 165.673485], [21.620180, 21.804155, 22.627921, 23.430001, 100.216500], [9.447239, 9.947218, 10.009527, 10.726859, 52.330398], [38.544382, 38.944584, 40.002082, 40.115418, 230.350985]]
### 6
mean: [-0.933196, -1.609522, 2.382330, 0.788113, 1.094630, -2.089988, -2.067436, 1.845173]
std: [0.351774, 1.023749, 1.871279, 0.765064, 1.473634, 1.614163, 1.501879, 1.685173]
pca: [[-0.090477, 0.089018, -0.049233, 0.479449, -0.103142, 0.212460, 0.641739, 0.532905, 0.000000, 0.000000], [-0.259131, 0.549912, -0.433851, 0.183205, -0.341414, -0.241839, 0.129016, -0.465792, 0.000000, 0.000000], [0.481887, 0.306323, 0.569773, -0.053179, -0.171699, -0.504826, 0.249300, -0.001052, 0.000000, 0.000000], [0.195521, -0.303460, 0.217382, 0.699936, -0.366543, 0.148259, -0.306023, -0.287286, 0.000000, 0.000000], [0.379516, 0.346962, -0.156294, -0.273430, -0.509980, 0.459482, -0.280588, 0.294041, 0.000000, 0.000000], [-0.415004, 0.310524, 0.605000, -0.105370, 0.033138, 0.518537, 0.087115, -0.276860, 0.000000, 0.000000], [-0.386978, 0.324301, 0.173401, 0.246764, 0.064713, -0.304756, -0.564630, 0.488104, 0.000000, 0.000000], [0.433830, 0.426347, -0.130126, 0.311554, 0.666032, 0.216021, -0.102953, -0.123122, 0.000000, 0.000000]]
fourier: [[5.810115, 5.944685, 6.119799, 6.219446, 83.987660], [16.139203, 16.598682, 17.042535, 20.487220, 144.856941], [29.385606, 32.000648, 32.133828, 34.152848, 214.409678], [12.205948, 12.463296, 12.700297, 14.623132, 70.930127], [24.915518, 24.981519, 25.753485, 25.810006, 98.516712], [26.409858, 26.515448, 26.943820, 27.997369, 188.098899], [23.908156, 25.138630, 25.737713, 25.911196, 186.069243], [28.261434, 28.613084, 29.519136, 29.794449, 166.065614]]
### 8
mean: [2.277733, 1.709180, -1.074674, -1.510236, -2.195503, -1.117174, -2.184999, -0.649700]
std: [1.877748, 1.561243, 0.722584, 1.148750, 1.896323, 0.734463, 1.764835, 0.214716]
pca: [[-0.483526, 0.069024, 0.095754, 0.041086, 0.451927, 0.584764, -0.015890, 0.451820, 0.000000, 0.000000], [-0.401933, -0.202294, 0.401528, -0.050005, -0.384150, -0.451704, -0.225130, 0.481155, 0.000000, 0.000000], [0.185901, -0.061683, 0.532096, 0.218131, -0.086425, 0.082985, 0.780899, 0.082274, 0.000000, 0.000000], [0.295512, 0.273860, 0.676008, 0.001925, -0.015560, 0.261851, -0.517244, -0.210555, 0.000000, 0.000000], [0.488263, -0.212953, 0.055701, 0.084255, 0.637296, -0.375082, -0.124110, 0.379227, 0.000000, 0.000000], [0.189012, 0.091993, -0.239186, 0.814227, -0.316695, 0.149040, -0.182824, 0.282318, 0.000000, 0.000000], [0.454411, -0.158866, -0.152830, -0.504529, -0.366094, 0.385858, -0.005163, 0.455442, 0.000000, 0.000000], [0.046372, 0.892445, -0.076315, -0.153665, -0.003683, -0.258411, 0.151207, 0.286882, 0.000000, 0.000000]]
fourier: [[31.012206, 31.715734, 32.447394, 32.792335, 204.995968], [25.240257, 26.488345, 27.072507, 27.186655, 153.826209], [12.214977, 12.334287, 12.664527, 12.690570, 96.720695], [19.014161, 19.671363, 19.919140, 20.690737, 135.921215], [31.602947, 31.939177, 32.612433, 33.204060, 197.595237], [11.882767, 12.376855, 12.656720, 12.682056, 100.545653], [29.215230, 29.779919, 30.376604, 30.896623, 196.649862], [3.462407, 3.585180, 3.633656, 4.472972, 58.473034]]
### 10
mean: [-1.309840]
std: [1.264314]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.677118, 21.444087, 21.879578, 21.984969, 117.885569]]
## 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": 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": [[-0.241396, -0.304163, -0.188055, 0.024196, -0.147669], [0.490341, -0.189635, -0.064416, 0.349087, -0.057542], [-0.722211, 0.301799, -0.178529, 0.488812, 0.544505], [-0.56759, 0.525597, 0.035108, -0.023127, -0.770619], [-0.786433, -0.096121, -0.318875, -0.207882, -0.402867], [0.652583, -0.753301, 0.003556, -0.56282, 0.341366], [0.356954, 0.369938, -0.02534, 0.175627, -0.750319], [0.418557, 0.607417, -0.216801, -0.087057, -0.161124]], "network.0.bias": [-0.663943, 0.311777, 0.12859, -0.567664, -0.47952, -0.266547, -0.215685, 0.305885], "network.2.weight": [[-0.043918, 0.391214, -0.302725, -0.452093, -0.221717, 0.482866, 0.04988, 0.388551], [-0.121683, 0.008786, -0.1326, 0.355728, 0.077202, 0.351587, 0.456739, 0.308016], [-0.378717, 0.033598, -0.058065, -0.135657, -0.173109, -0.294113, -0.154516, 0.151867], [-0.135066, 0.535312, -0.244846, 0.415247, 0.224863, 0.185341, 0.641697, 0.670783], [-0.260857, 0.424477, -0.155627, 0.113696, -0.313846, -0.01855, 0.260158, -0.033266], [-0.636278, 0.006561, -0.186977, -0.017792, -0.141082, -0.173012, -0.007542, -0.059419], [0.180429, -0.05638, 0.370893, 0.427276, -0.080231, 0.002847, 0.109954, -0.053924], [-0.084093, -0.154224, -0.434915, -0.13113, 0.013946, 0.012157, 0.017306, -0.246096]], "network.2.bias": [0.487, -0.057484, -0.452038, 0.428671, 0.147603, -0.657377, -0.099967, -0.321317], "network.4.weight": [[-0.284121, -0.465372, -0.343947, -0.202275, -0.255185, -0.310952, -0.004517, 0.026666], [0.259947, 0.239171, 0.093936, 0.50836, 0.088664, -0.145471, 0.181257, 0.501523], [0.029357, -0.181643, -0.076284, -0.090873, -0.177217, 0.116834, 0.516145, -0.053618], [-0.311778, -0.513132, 0.171531, -0.324178, -0.511584, -0.139246, -0.38567, -0.128511], [-0.544331, -0.34918, -0.130998, -0.355774, -0.512699, 0.067363, 0.221968, 0.006093], [0.395074, 0.010317, 0.010566, 0.323817, 0.111474, 0.297252, -0.401547, -0.232662], [0.106313, 0.137658, -0.268165, 0.160973, -0.014311, -0.001235, -0.192601, -0.349884], [0.488734, 0.311805, 0.105991, 0.628634, 0.409267, 0.283612, -0.271091, 0.13101]], "network.4.bias": [-0.575211, 0.409269, 0.129243, -0.029706, -0.021344, 0.137216, 0.130536, 0.327008], "network.6.weight": [[0.018438, -0.172672, 0.124284, 0.1195, -0.261951, -0.094745, 0.140747, -0.020453], [0.167323, -0.475449, 0.074696, -0.174254, -0.013602, 0.131284, 0.093662, -0.204953], [0.079071, 0.251426, -0.593535, 0.172566, -0.440903, 0.359824, 0.247965, 0.352601], [0.157834, 0.178887, 0.193114, 0.00083, -0.525695, -0.120458, 0.410372, 0.173246], [0.450136, -0.086038, -0.140897, 0.009601, 0.152494, 0.401078, 0.391491, 0.38293], [0.062936, -0.163429, -0.552357, -0.521186, -0.232898, -0.431013, -0.204043, -0.355617], [0.0557, -0.23835, -0.20642, -0.431075, -0.301594, -0.201106, -0.171252, -0.362137], [0.114739, -0.184183, -0.094404, 0.092314, -0.128576, 0.461443, 0.045887, 0.591639]], "network.6.bias": [-0.504345, -0.291552, 0.510542, -0.168451, -0.378373, -0.085777, -0.24241, 0.180221], "network.8.weight": [[-0.093385, 0.06457, 0.371797, 0.13889, 0.398272, 0.502164, 0.066333, 0.312165], [-0.091923, 0.135155, 0.38159, 0.242347, 0.195628, 0.406756, 0.309952, 0.235618], [-0.247528, -0.135661, -0.068318, 0.067809, -0.063334, 0.13402, -0.338531, -0.331831], [-0.53652, -0.307871, -0.35642, 0.10924, 0.010509, 0.089676, -0.110435, -0.346189], [0.301546, -0.285452, -0.283594, -0.113663, -0.438522, -0.079452, -0.542876, -0.398569], [-0.215726, -0.006097, 0.058284, -0.293236, 0.088321, -0.53637, 0.067278, -0.445141], [-0.026554, 0.127403, -0.449911, -0.047115, -0.543219, 0.00536, 0.01459, -0.077985], [-0.402898, -0.25201, -0.43462, -0.05193, 0.426393, -0.478432, -0.283816, 0.041601]], "network.8.bias": [0.2394, -0.056851, -0.277437, -0.11732, -0.180947, -0.303673, -0.297397, -0.144225], "network.10.weight": [[-0.349469, -0.390252, 0.156557, 0.013285, -0.203754, 0.111711, -0.181935, -0.017391]], "network.10.bias": [0.154155]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7070896923542023, "train_acc": 0.47, "val_loss": 0.7160829901695251, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6852369904518127, "train_acc": 0.59, "val_loss": 0.7314479351043701, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6371578574180603, "train_acc": 0.59, "val_loss": 0.6261160373687744, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.8333866894245148, "train_acc": 0.515, "val_loss": 0.5577595829963684, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5657309293746948, "train_acc": 0.73, "val_loss": 0.6463465690612793, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6460584402084351, "train_acc": 0.63, "val_loss": 0.6611635088920593, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6699866652488708, "train_acc": 0.6, "val_loss": 0.6610476970672607, "val_acc": 0.64}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7160829901695251, "final_val_loss": 0.6261160373687744, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5577595829963684, "final_val_loss": 0.6610476970672607, "initial_val_acc": 0.74, "final_val_acc": 0.64, "best_val_acc": 0.74, "best_epoch": 3}, "improvement": 0.3, "first_improvement_epoch": 2}}
|
9,977
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.42, "improved_accuracy": 0.9, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2743, "learning_rate": 0.05685022931962021, "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:
{
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],
[
-0.053357,
0.010656,
-0.032885,
-0.502375,
0.362562,
0.33891
],
[
-0.345082,
0.261946,
-0.61788,
-0.799238,
-0.298795,
-0.209448
],
[
-0.261077,
-0.296122,
0.239095,
-0.724257,
0.118065,
0.586263
],
[
0.338186,
-0.161688,
0.399641,
0.025855,
0.542177,
0.341135
]
],
"network.8.bias": [
0.140321,
0.69004,
0.403288,
-0.516401,
0.255664,
-0.212616
],
"network.10.weight": [
[
-0.328437,
0.381345,
0.685205,
0.023292,
0.164382,
0.145876
],
[
0.482489,
-0.77855,
-0.28324,
-0.14791,
0.144964,
0.021598
],
[
-0.154205,
0.719481,
0.193468,
-0.211078,
0.423459,
0.104404
],
[
-0.276195,
0.403669,
0.028046,
0.387058,
-0.064472,
0.261161
],
[
-0.29722,
0.695942,
0.647625,
-0.340894,
0.496558,
0.02574
],
[
-0.082598,
0.0809,
0.276419,
-0.237774,
0.220795,
0.231369
]
],
"network.10.bias": [
-0.086504,
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-0.028116,
-0.269308,
0.286314,
-0.441476
],
"network.12.weight": [
[
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-0.37853,
-0.005238,
-0.49912,
-0.335382
]
],
"network.12.bias": [
0.405036
]
}
## Activation Signature
### 0
mean: [1.352216, -0.674393, -1.390042, 0.453508, -0.540556, -0.080833]
std: [1.412804, 1.228937, 1.279795, 1.617564, 1.693508, 1.290492]
pca: [[-0.437356, 0.128568, 0.716182, 0.428975, 0.141881, 0.274087, 0.000000, 0.000000, 0.000000, 0.000000], [0.378064, 0.205543, -0.117541, 0.741862, -0.492043, -0.092402, 0.000000, 0.000000, 0.000000, 0.000000], [0.294617, -0.537658, -0.190915, 0.393624, 0.583986, 0.302815, 0.000000, 0.000000, 0.000000, 0.000000], [0.451881, 0.538365, 0.043689, -0.229123, 0.091183, 0.665767, 0.000000, 0.000000, 0.000000, 0.000000], [0.477812, -0.495881, 0.591726, -0.239968, -0.343611, 0.002326, 0.000000, 0.000000, 0.000000, 0.000000], [0.382737, 0.341190, 0.291155, 0.024485, 0.519943, -0.617568, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.169812, 23.798195, 26.269905, 29.787388, 121.699426], [18.767742, 20.043841, 24.811338, 26.515112, 60.695408], [18.543882, 20.687871, 23.144694, 24.429909, 125.103764], [23.470479, 29.846405, 30.218836, 33.293136, 40.815729], [25.627906, 27.744224, 29.007173, 29.649215, 48.650016], [18.211890, 20.514026, 21.974797, 23.891136, 28.264912]]
### 2
mean: [0.511350, 0.018825, 0.373363, 0.174810, 0.077772, 0.454252]
std: [1.069633, 0.501780, 1.265880, 1.050405, 0.295324, 1.446783]
pca: [[-0.253148, 0.931987, -0.207119, -0.051965, 0.147279, -0.005191, 0.000000, 0.000000, 0.000000, 0.000000], [0.034374, 0.232430, 0.948912, 0.085158, -0.053761, -0.184981, 0.000000, 0.000000, 0.000000, 0.000000], [0.549784, 0.234922, -0.016098, 0.332657, -0.426022, 0.591721, 0.000000, 0.000000, 0.000000, 0.000000], [0.458861, 0.136857, -0.137593, -0.493696, -0.464084, -0.540995, 0.000000, 0.000000, 0.000000, 0.000000], [0.120024, 0.029621, -0.192941, 0.790279, 0.006332, -0.568251, 0.000000, 0.000000, 0.000000, 0.000000], [0.638367, 0.050803, 0.015813, -0.105404, 0.760599, -0.005999, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.692753, 19.443282, 19.545507, 22.492017, 46.021484], [7.144877, 7.167174, 8.045790, 8.495262, 11.151542], [20.668134, 22.588604, 25.409004, 28.435591, 33.602715], [17.195611, 17.551729, 18.627183, 21.161279, 23.684620], [4.568126, 4.642474, 5.867733, 5.989328, 6.999437], [24.577699, 25.135519, 29.331954, 33.517800, 40.882695]]
### 4
mean: [1.057845, 0.115942, 0.558564, -0.578330, -0.317207, 0.512185]
std: [1.488631, 1.367649, 0.805763, 0.318934, 0.333391, 0.144411]
pca: [[0.676159, 0.458462, 0.248660, 0.058665, 0.355309, -0.375638, 0.000000, 0.000000, 0.000000, 0.000000], [-0.613992, 0.657085, 0.001225, 0.185991, 0.385204, 0.090979, 0.000000, 0.000000, 0.000000, 0.000000], [0.367610, 0.019344, -0.390297, 0.515263, 0.151674, 0.650888, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127028, -0.262948, 0.612472, 0.722440, -0.079540, -0.106552, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120070, -0.466561, -0.400666, 0.155120, 0.632101, -0.428670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011574, 0.266191, -0.500179, 0.387927, -0.544509, -0.481510, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.901447, 23.362809, 27.884670, 30.529725, 95.206082], [19.543594, 21.038750, 25.525805, 25.646560, 30.325093], [12.993045, 13.062518, 15.159825, 17.809188, 50.270806], [5.686066, 6.233778, 6.341549, 6.410282, 52.049739], [4.877553, 4.884259, 5.259316, 6.148987, 28.548611], [2.229349, 2.310147, 2.349155, 3.026719, 46.096656]]
### 6
mean: [0.866908, -0.760424, 0.431726, 1.768793, 0.204267, 0.073552]
std: [0.785963, 0.388790, 0.444384, 1.885756, 1.175491, 1.249373]
pca: [[0.284813, 0.386155, 0.216728, 0.840900, -0.122623, 0.025381, 0.000000, 0.000000, 0.000000, 0.000000], [-0.125330, -0.454715, -0.148869, 0.383415, 0.709974, 0.322946, 0.000000, 0.000000, 0.000000, 0.000000], [0.158177, 0.235214, 0.766976, -0.314988, 0.368008, 0.311055, 0.000000, 0.000000, 0.000000, 0.000000], [0.696851, 0.329855, -0.505631, -0.211972, 0.320247, 0.049419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429445, 0.468158, -0.289103, -0.036108, -0.136440, 0.702072, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456213, 0.510701, -0.058071, 0.020639, 0.473599, -0.550418, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.956179, 12.249742, 14.377305, 15.777038, 78.021681], [6.278497, 6.291482, 6.534255, 6.921146, 68.438163], [6.665907, 7.125338, 7.791365, 8.267065, 38.855348], [28.957208, 29.333987, 36.668757, 39.490313, 159.191360], [17.965150, 18.383989, 22.637307, 22.803416, 25.598928], [17.805516, 19.389004, 24.165226, 24.388777, 27.293170]]
### 8
mean: [1.864895, 1.024375, -0.180371, -2.650311, -0.739904, 0.675541]
std: [1.945843, 1.104767, 1.397005, 1.818855, 1.866706, 0.499802]
pca: [[0.534915, 0.211173, 0.005225, 0.169007, 0.222809, 0.768790, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264161, 0.580822, -0.519518, -0.195235, -0.489546, 0.212588, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380805, 0.241898, -0.365813, 0.135142, 0.800442, -0.060691, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485700, -0.491760, -0.140427, 0.536143, -0.205633, 0.415709, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512999, 0.207928, 0.677983, -0.330082, 0.084709, 0.343230, 0.000000, 0.000000, 0.000000, 0.000000], [0.000775, 0.523904, 0.341867, 0.720176, -0.143294, -0.263560, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.848133, 30.573668, 36.900119, 39.906734, 167.840591], [18.166309, 20.637764, 23.644585, 25.165318, 92.193766], [20.088033, 21.693163, 25.951347, 27.639465, 30.231358], [28.969317, 30.001949, 32.450550, 35.154086, 238.527984], [28.664937, 32.927454, 36.890352, 40.184092, 66.591322], [8.572641, 8.737210, 8.899875, 9.749175, 60.798667]]
### 10
mean: [0.110790, 0.052470, 0.695522, -0.258745, 0.903197, -0.179456]
std: [1.479456, 1.765017, 1.402439, 0.926666, 1.905023, 0.577679]
pca: [[0.428611, 0.031401, -0.064880, -0.617012, -0.128694, 0.643297, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503501, 0.730610, 0.095821, -0.228203, -0.388940, 0.012782, 0.000000, 0.000000, 0.000000, 0.000000], [0.402551, 0.451044, 0.183206, 0.677951, -0.014144, 0.375673, 0.000000, 0.000000, 0.000000, 0.000000], [0.267307, -0.197916, 0.752356, -0.088144, -0.489790, -0.275086, 0.000000, 0.000000, 0.000000, 0.000000], [0.550659, 0.304237, -0.477807, -0.092677, -0.223212, -0.563474, 0.000000, 0.000000, 0.000000, 0.000000], [0.161412, 0.360627, 0.398378, -0.302065, 0.736373, -0.227378, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.436717, 24.878941, 28.461259, 32.010725, 32.338663], [25.700584, 28.173225, 34.371450, 34.683123, 38.695171], [23.828169, 26.006882, 30.170693, 31.926253, 62.596997], [14.949768, 18.258969, 19.225117, 20.113653, 23.287083], [32.440790, 36.035792, 41.541364, 42.164200, 81.287726], [9.768463, 10.247929, 11.908817, 13.664598, 16.151072]]
### 12
mean: [-0.561750]
std: [2.132533]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.588530, 39.324731, 45.083708, 49.430424, 50.557490]]
## 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:
{
"network.0.weight": [
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],
[
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],
[
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],
[
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],
[
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-0.11777,
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],
[
-0.146922,
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-0.674602
]
],
"network.0.bias": [
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0.074877,
0.002974,
0.531784,
0.280402,
0.065914
],
"network.2.weight": [
[
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0.00914
],
[
-0.094078,
-0.393446,
-0.743575,
-0.182784,
-0.49301,
-0.213957
],
[
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-0.912192,
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],
[
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],
[
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0.045376,
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0.297311
],
[
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-0.190388,
0.741724,
-1.003705,
0.315348
]
],
"network.2.bias": [
-0.068899,
0.498902,
0.131938,
-0.018824,
-0.050519,
0.321912
],
"network.4.weight": [
[
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0.314842,
0.657628,
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],
[
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-0.304736,
-0.296747
],
[
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0.107538,
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],
[
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0.075369
],
[
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0.124853,
-0.055944
],
[
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-0.228647,
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]
],
"network.4.bias": [
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-0.018854,
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-0.06577,
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],
"network.6.weight": [
[
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],
[
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[
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[
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0.544708
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[
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],
[
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]
],
"network.6.bias": [
0.317309,
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0.312707,
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0.32852,
0.268979
],
"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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0.403288,
-0.516401,
0.255664,
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],
"network.10.weight": [
[
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],
[
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-0.14791,
0.144964,
0.021598
],
[
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-0.211078,
0.423459,
0.104404
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[
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],
[
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],
[
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0.231369
]
],
"network.10.bias": [
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-0.028116,
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0.286314,
-0.441476
],
"network.12.weight": [
[
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-0.37853,
-0.005238,
-0.49912,
-0.335382
]
],
"network.12.bias": [
0.405036
]
}
## Activation Signature
### 0
mean: [1.352216, -0.674393, -1.390042, 0.453508, -0.540556, -0.080833]
std: [1.412804, 1.228937, 1.279795, 1.617564, 1.693508, 1.290492]
pca: [[-0.437356, 0.128568, 0.716182, 0.428975, 0.141881, 0.274087, 0.000000, 0.000000, 0.000000, 0.000000], [0.378064, 0.205543, -0.117541, 0.741862, -0.492043, -0.092402, 0.000000, 0.000000, 0.000000, 0.000000], [0.294617, -0.537658, -0.190915, 0.393624, 0.583986, 0.302815, 0.000000, 0.000000, 0.000000, 0.000000], [0.451881, 0.538365, 0.043689, -0.229123, 0.091183, 0.665767, 0.000000, 0.000000, 0.000000, 0.000000], [0.477812, -0.495881, 0.591726, -0.239968, -0.343611, 0.002326, 0.000000, 0.000000, 0.000000, 0.000000], [0.382737, 0.341190, 0.291155, 0.024485, 0.519943, -0.617568, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[23.169812, 23.798195, 26.269905, 29.787388, 121.699426], [18.767742, 20.043841, 24.811338, 26.515112, 60.695408], [18.543882, 20.687871, 23.144694, 24.429909, 125.103764], [23.470479, 29.846405, 30.218836, 33.293136, 40.815729], [25.627906, 27.744224, 29.007173, 29.649215, 48.650016], [18.211890, 20.514026, 21.974797, 23.891136, 28.264912]]
### 2
mean: [0.511350, 0.018825, 0.373363, 0.174810, 0.077772, 0.454252]
std: [1.069633, 0.501780, 1.265880, 1.050405, 0.295324, 1.446783]
pca: [[-0.253148, 0.931987, -0.207119, -0.051965, 0.147279, -0.005191, 0.000000, 0.000000, 0.000000, 0.000000], [0.034374, 0.232430, 0.948912, 0.085158, -0.053761, -0.184981, 0.000000, 0.000000, 0.000000, 0.000000], [0.549784, 0.234922, -0.016098, 0.332657, -0.426022, 0.591721, 0.000000, 0.000000, 0.000000, 0.000000], [0.458861, 0.136857, -0.137593, -0.493696, -0.464084, -0.540995, 0.000000, 0.000000, 0.000000, 0.000000], [0.120024, 0.029621, -0.192941, 0.790279, 0.006332, -0.568251, 0.000000, 0.000000, 0.000000, 0.000000], [0.638367, 0.050803, 0.015813, -0.105404, 0.760599, -0.005999, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.692753, 19.443282, 19.545507, 22.492017, 46.021484], [7.144877, 7.167174, 8.045790, 8.495262, 11.151542], [20.668134, 22.588604, 25.409004, 28.435591, 33.602715], [17.195611, 17.551729, 18.627183, 21.161279, 23.684620], [4.568126, 4.642474, 5.867733, 5.989328, 6.999437], [24.577699, 25.135519, 29.331954, 33.517800, 40.882695]]
### 4
mean: [1.057845, 0.115942, 0.558564, -0.578330, -0.317207, 0.512185]
std: [1.488631, 1.367649, 0.805763, 0.318934, 0.333391, 0.144411]
pca: [[0.676159, 0.458462, 0.248660, 0.058665, 0.355309, -0.375638, 0.000000, 0.000000, 0.000000, 0.000000], [-0.613992, 0.657085, 0.001225, 0.185991, 0.385204, 0.090979, 0.000000, 0.000000, 0.000000, 0.000000], [0.367610, 0.019344, -0.390297, 0.515263, 0.151674, 0.650888, 0.000000, 0.000000, 0.000000, 0.000000], [-0.127028, -0.262948, 0.612472, 0.722440, -0.079540, -0.106552, 0.000000, 0.000000, 0.000000, 0.000000], [-0.120070, -0.466561, -0.400666, 0.155120, 0.632101, -0.428670, 0.000000, 0.000000, 0.000000, 0.000000], [-0.011574, 0.266191, -0.500179, 0.387927, -0.544509, -0.481510, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.901447, 23.362809, 27.884670, 30.529725, 95.206082], [19.543594, 21.038750, 25.525805, 25.646560, 30.325093], [12.993045, 13.062518, 15.159825, 17.809188, 50.270806], [5.686066, 6.233778, 6.341549, 6.410282, 52.049739], [4.877553, 4.884259, 5.259316, 6.148987, 28.548611], [2.229349, 2.310147, 2.349155, 3.026719, 46.096656]]
### 6
mean: [0.866908, -0.760424, 0.431726, 1.768793, 0.204267, 0.073552]
std: [0.785963, 0.388790, 0.444384, 1.885756, 1.175491, 1.249373]
pca: [[0.284813, 0.386155, 0.216728, 0.840900, -0.122623, 0.025381, 0.000000, 0.000000, 0.000000, 0.000000], [-0.125330, -0.454715, -0.148869, 0.383415, 0.709974, 0.322946, 0.000000, 0.000000, 0.000000, 0.000000], [0.158177, 0.235214, 0.766976, -0.314988, 0.368008, 0.311055, 0.000000, 0.000000, 0.000000, 0.000000], [0.696851, 0.329855, -0.505631, -0.211972, 0.320247, 0.049419, 0.000000, 0.000000, 0.000000, 0.000000], [-0.429445, 0.468158, -0.289103, -0.036108, -0.136440, 0.702072, 0.000000, 0.000000, 0.000000, 0.000000], [-0.456213, 0.510701, -0.058071, 0.020639, 0.473599, -0.550418, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[11.956179, 12.249742, 14.377305, 15.777038, 78.021681], [6.278497, 6.291482, 6.534255, 6.921146, 68.438163], [6.665907, 7.125338, 7.791365, 8.267065, 38.855348], [28.957208, 29.333987, 36.668757, 39.490313, 159.191360], [17.965150, 18.383989, 22.637307, 22.803416, 25.598928], [17.805516, 19.389004, 24.165226, 24.388777, 27.293170]]
### 8
mean: [1.864895, 1.024375, -0.180371, -2.650311, -0.739904, 0.675541]
std: [1.945843, 1.104767, 1.397005, 1.818855, 1.866706, 0.499802]
pca: [[0.534915, 0.211173, 0.005225, 0.169007, 0.222809, 0.768790, 0.000000, 0.000000, 0.000000, 0.000000], [-0.264161, 0.580822, -0.519518, -0.195235, -0.489546, 0.212588, 0.000000, 0.000000, 0.000000, 0.000000], [-0.380805, 0.241898, -0.365813, 0.135142, 0.800442, -0.060691, 0.000000, 0.000000, 0.000000, 0.000000], [-0.485700, -0.491760, -0.140427, 0.536143, -0.205633, 0.415709, 0.000000, 0.000000, 0.000000, 0.000000], [-0.512999, 0.207928, 0.677983, -0.330082, 0.084709, 0.343230, 0.000000, 0.000000, 0.000000, 0.000000], [0.000775, 0.523904, 0.341867, 0.720176, -0.143294, -0.263560, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.848133, 30.573668, 36.900119, 39.906734, 167.840591], [18.166309, 20.637764, 23.644585, 25.165318, 92.193766], [20.088033, 21.693163, 25.951347, 27.639465, 30.231358], [28.969317, 30.001949, 32.450550, 35.154086, 238.527984], [28.664937, 32.927454, 36.890352, 40.184092, 66.591322], [8.572641, 8.737210, 8.899875, 9.749175, 60.798667]]
### 10
mean: [0.110790, 0.052470, 0.695522, -0.258745, 0.903197, -0.179456]
std: [1.479456, 1.765017, 1.402439, 0.926666, 1.905023, 0.577679]
pca: [[0.428611, 0.031401, -0.064880, -0.617012, -0.128694, 0.643297, 0.000000, 0.000000, 0.000000, 0.000000], [-0.503501, 0.730610, 0.095821, -0.228203, -0.388940, 0.012782, 0.000000, 0.000000, 0.000000, 0.000000], [0.402551, 0.451044, 0.183206, 0.677951, -0.014144, 0.375673, 0.000000, 0.000000, 0.000000, 0.000000], [0.267307, -0.197916, 0.752356, -0.088144, -0.489790, -0.275086, 0.000000, 0.000000, 0.000000, 0.000000], [0.550659, 0.304237, -0.477807, -0.092677, -0.223212, -0.563474, 0.000000, 0.000000, 0.000000, 0.000000], [0.161412, 0.360627, 0.398378, -0.302065, 0.736373, -0.227378, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[22.436717, 24.878941, 28.461259, 32.010725, 32.338663], [25.700584, 28.173225, 34.371450, 34.683123, 38.695171], [23.828169, 26.006882, 30.170693, 31.926253, 62.596997], [14.949768, 18.258969, 19.225117, 20.113653, 23.287083], [32.440790, 36.035792, 41.541364, 42.164200, 81.287726], [9.768463, 10.247929, 11.908817, 13.664598, 16.151072]]
### 12
mean: [-0.561750]
std: [2.132533]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[36.588530, 39.324731, 45.083708, 49.430424, 50.557490]]
## 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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{"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": 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": [[-0.141893, 0.009727, 0.312373, -0.075001, 0.664906], [-0.20102, 0.190612, 0.052594, -0.113458, -0.578116], [0.38166, -0.188287, -0.268961, -0.200181, -0.432782], [-0.28127, 0.170816, 0.229437, 0.206795, -0.7802], [0.545746, -0.03263, -0.114548, -0.11777, -0.769315], [-0.146922, 0.0675, 0.245798, 0.108025, -0.674602]], "network.0.bias": [0.199339, 0.074877, 0.002974, 0.531784, 0.280402, 0.065914], "network.2.weight": [[0.647671, -0.213198, 0.706118, -0.258203, -0.125926, 0.00914], [-0.094078, -0.393446, -0.743575, -0.182784, -0.49301, -0.213957], [-0.10992, 0.081647, -0.308748, 0.544949, -0.912192, 0.501748], [-0.115101, -0.039674, 0.128674, 0.468148, -0.778967, 0.488945], [-0.002209, 0.336726, -0.126052, 0.045376, -0.080491, 0.297311], [-0.251849, 0.224496, -0.190388, 0.741724, -1.003705, 0.315348]], "network.2.bias": [-0.068899, 0.498902, 0.131938, -0.018824, -0.050519, 0.321912], "network.4.weight": [[-0.046284, 0.314842, 0.657628, 0.456294, -0.447591, 0.644405], [0.562933, -1.11438, -0.425102, -0.517611, -0.304736, -0.296747], [-0.092867, 0.762358, 0.107538, 0.084369, -0.064575, 0.638195], [-0.094125, -0.669149, -0.481218, -0.208095, 0.630694, 0.075369], [-0.151997, 0.43673, -0.089185, -0.305275, 0.124853, -0.055944], [0.172776, 0.332817, -0.228647, -0.050075, -0.043928, 0.327243]], "network.4.bias": [0.047325, 0.59341, -0.018854, -0.198924, -0.06577, 0.301035], "network.6.weight": [[0.34043, 0.033031, 0.425015, 0.220499, 0.178368, -0.029844], [-0.329258, -0.153777, 0.069012, -0.263578, 0.334635, -0.033983], [0.190048, 0.10853, 0.288141, 0.739854, -0.031228, -0.53915], [0.897509, -0.551554, 0.360418, -0.435201, -0.703052, 0.544708], [-0.318649, 0.617812, -0.482394, 0.017722, -0.504182, 0.291843], [-0.388126, 0.701813, -0.378339, 0.374102, -0.515452, 0.152839]], "network.6.bias": [0.317309, -0.364438, 0.312707, 0.602962, 0.32852, 0.268979], "network.8.weight": [[0.322144, 0.266889, 0.297839, 0.821547, 0.098824, -0.10663], [0.36734, -0.445022, 0.112442, -0.352397, 0.502761, 0.672498], [-0.053357, 0.010656, -0.032885, -0.502375, 0.362562, 0.33891], [-0.345082, 0.261946, -0.61788, -0.799238, -0.298795, -0.209448], [-0.261077, -0.296122, 0.239095, -0.724257, 0.118065, 0.586263], [0.338186, -0.161688, 0.399641, 0.025855, 0.542177, 0.341135]], "network.8.bias": [0.140321, 0.69004, 0.403288, -0.516401, 0.255664, -0.212616], "network.10.weight": [[-0.328437, 0.381345, 0.685205, 0.023292, 0.164382, 0.145876], [0.482489, -0.77855, -0.28324, -0.14791, 0.144964, 0.021598], [-0.154205, 0.719481, 0.193468, -0.211078, 0.423459, 0.104404], [-0.276195, 0.403669, 0.028046, 0.387058, -0.064472, 0.261161], [-0.29722, 0.695942, 0.647625, -0.340894, 0.496558, 0.02574], [-0.082598, 0.0809, 0.276419, -0.237774, 0.220795, 0.231369]], "network.10.bias": [-0.086504, -0.002124, -0.028116, -0.269308, 0.286314, -0.441476], "network.12.weight": [[-0.52237, 0.371192, -0.37853, -0.005238, -0.49912, -0.335382]], "network.12.bias": [0.405036]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7108041942119598, "train_acc": 0.4, "val_loss": 0.7044859528541565, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6930170655250549, "train_acc": 0.6, "val_loss": 0.7255046367645264, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6420724093914032, "train_acc": 0.6, "val_loss": 0.6240499019622803, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5477317720651627, "train_acc": 0.595, "val_loss": 0.5045509934425354, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5103587508201599, "train_acc": 0.8, "val_loss": 0.4089048504829407, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.48668456077575684, "train_acc": 0.76, "val_loss": 0.3454345762729645, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4493625909090042, "train_acc": 0.795, "val_loss": 0.46053314208984375, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4427970349788666, "train_acc": 0.77, "val_loss": 0.33207884430885315, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4321410357952118, "train_acc": 0.795, "val_loss": 0.3020629584789276, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.42921993136405945, "train_acc": 0.81, "val_loss": 0.3008887767791748, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4013763666152954, "train_acc": 0.795, "val_loss": 0.34960997104644775, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.40156756341457367, "train_acc": 0.81, "val_loss": 0.31611213088035583, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3999093621969223, "train_acc": 0.82, "val_loss": 0.3805600702762604, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7044859528541565, "final_val_loss": 0.6240499019622803, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.5045509934425354, "final_val_loss": 0.3805600702762604, "initial_val_acc": 0.86, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 8}, "improvement": 0.48000000000000004, "first_improvement_epoch": 2}}
|
9,978
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.62, "improved_accuracy": 0.92, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2939, "learning_rate": 0.04087633444569459, "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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.5789,
-0.558651,
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0.135284,
0.619257
],
[
0.782796,
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0.467722,
-0.206715,
0.262922
],
[
0.198646,
-0.015228,
0.3057,
-0.622066,
0.262646
],
[
0.752176,
0.678363,
-0.043975,
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0.286212
],
[
0.216849,
0.13131,
0.289771,
0.54909,
-0.503534
]
],
"network.0.bias": [
0.44525,
-0.032205,
-0.292253,
0.081659,
0.107476
],
"network.2.weight": [
[
-0.618701,
0.175362,
0.222224,
-0.014336,
0.889483
],
[
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0.244132,
0.204486,
0.412412
],
[
0.497891,
0.174938,
0.098876,
0.124535,
0.208072
],
[
-0.465845,
0.040303,
0.302613,
0.537296,
0.664971
],
[
-0.449174,
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0.365347,
0.402983,
0.177209
]
],
"network.2.bias": [
0.375947,
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-0.096607,
0.498916,
0.251917
],
"network.4.weight": [
[
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],
[
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-0.407602
],
[
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0.659342
],
[
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0.533995,
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],
[
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]
],
"network.4.bias": [
0.085348,
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0.61421
],
"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": [
0.005797,
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.631594
]
}
## Activation Signature
### 0
mean: [-0.468700, 2.561888, -0.444280, 2.077078, 1.778376]
std: [2.069445, 2.577607, 1.624741, 2.328470, 1.579207]
pca: [[-0.428077, -0.420105, 0.757292, -0.157184, -0.205097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.643925, -0.195585, 0.316607, -0.402236, 0.533922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.212968, -0.604209, -0.431498, -0.380214, -0.508746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576091, -0.047184, 0.311584, 0.619539, -0.430093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.157717, 0.646501, 0.207350, -0.533954, -0.478603, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.560801, 34.328108, 34.855767, 35.642633, 42.182996], [44.659439, 45.529857, 45.769021, 48.666951, 230.569921], [23.039759, 25.910838, 26.307046, 31.275899, 39.985236], [36.682986, 36.808802, 39.210202, 39.537449, 186.937045], [22.606060, 22.884760, 23.395168, 29.378481, 160.053817]]
### 2
mean: [2.217623, 2.136524, 1.296855, 2.859960, 2.469604]
std: [1.836982, 1.744596, 0.861450, 2.140131, 2.367519]
pca: [[0.406491, 0.762910, 0.056472, -0.412179, -0.282227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439668, -0.061899, -0.019299, -0.268743, 0.854555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.158101, -0.315230, 0.901471, -0.202944, -0.147641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535731, 0.145495, 0.140792, 0.819747, -0.004118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573980, -0.541846, -0.404927, -0.211458, -0.410206, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.520579, 29.984456, 31.236924, 33.295667, 199.586110], [29.320782, 30.470520, 31.111896, 33.388421, 192.287125], [12.294948, 16.489044, 17.560185, 18.521634, 116.716973], [37.698670, 38.120294, 38.566221, 39.115342, 257.396375], [39.038288, 39.446195, 39.788673, 47.303642, 222.264385]]
### 4
mean: [6.790934, -2.342791, 3.920182, -0.548835, -1.421704]
std: [5.351739, 1.664835, 3.289544, 1.031838, 1.573576]
pca: [[0.792884, -0.293323, 0.126617, 0.515522, -0.059174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246125, -0.243131, -0.208134, 0.386510, 0.829217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485532, 0.693469, -0.262575, -0.242410, 0.394527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147102, 0.426699, 0.831366, 0.283000, 0.158212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231035, 0.438040, -0.424892, 0.667829, -0.358072, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.119502, 96.729526, 98.822507, 102.845367, 611.184029], [26.608724, 30.382867, 30.667605, 31.280647, 210.851217], [52.556601, 58.847791, 60.186667, 61.895176, 352.816411], [16.366476, 16.892784, 18.298899, 22.988087, 49.395168], [26.059131, 28.899236, 29.732186, 29.908388, 127.953358]]
### 6
mean: [3.393481, 8.134240, -2.255765, -1.019862, 8.461068]
std: [2.881171, 6.618466, 2.534480, 0.333338, 7.011342]
pca: [[0.277224, 0.756763, 0.314528, -0.329603, -0.378008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637543, -0.405094, 0.055807, 0.315189, -0.571821, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244021, 0.448294, -0.176668, 0.828028, -0.150482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030857, -0.098454, 0.908343, 0.289553, 0.283596, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.675416, 0.229232, -0.204105, 0.150156, 0.653498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.832860, 52.539077, 52.706282, 54.818254, 305.413331], [109.290391, 119.406668, 122.924724, 128.162047, 732.081627], [42.058769, 45.609195, 47.433203, 49.068435, 203.018847], [5.207671, 5.914503, 6.061408, 6.375110, 91.787608], [115.285793, 127.130981, 129.736896, 135.051047, 761.496089]]
### 8
mean: [-12.082642]
std: [10.430984]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[171.765748, 192.983657, 195.471308, 198.167079, 1087.437763]]
## 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: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.5789,
-0.558651,
-0.109826,
0.135284,
0.619257
],
[
0.782796,
0.418141,
0.467722,
-0.206715,
0.262922
],
[
0.198646,
-0.015228,
0.3057,
-0.622066,
0.262646
],
[
0.752176,
0.678363,
-0.043975,
-0.204195,
0.286212
],
[
0.216849,
0.13131,
0.289771,
0.54909,
-0.503534
]
],
"network.0.bias": [
0.44525,
-0.032205,
-0.292253,
0.081659,
0.107476
],
"network.2.weight": [
[
-0.618701,
0.175362,
0.222224,
-0.014336,
0.889483
],
[
-0.33864,
0.305476,
0.244132,
0.204486,
0.412412
],
[
0.497891,
0.174938,
0.098876,
0.124535,
0.208072
],
[
-0.465845,
0.040303,
0.302613,
0.537296,
0.664971
],
[
-0.449174,
0.427284,
0.365347,
0.402983,
0.177209
]
],
"network.2.bias": [
0.375947,
0.219651,
-0.096607,
0.498916,
0.251917
],
"network.4.weight": [
[
0.543391,
0.8137,
-0.249076,
0.615019,
0.902257
],
[
-0.188048,
-0.025146,
-0.13233,
-0.161714,
-0.407602
],
[
-0.037426,
0.17968,
0.072313,
0.714543,
0.659342
],
[
-0.047565,
0.113084,
0.533995,
-0.370124,
-0.305299
],
[
-0.578833,
0.213199,
0.022087,
0.024728,
-0.505705
]
],
"network.4.bias": [
0.085348,
-0.20062,
-0.178992,
0.452869,
0.61421
],
"network.6.weight": [
[
0.159667,
-0.2728,
0.600383,
-0.133536,
-0.292199
],
[
0.885806,
0.124571,
0.513737,
-0.791114,
-0.463219
],
[
-0.373281,
0.048101,
-0.130846,
0.332173,
0.397623
],
[
-0.172395,
-0.160088,
0.164381,
-0.191508,
-0.168454
],
[
0.856492,
0.105367,
0.694982,
-0.608094,
-0.414306
]
],
"network.6.bias": [
0.005797,
0.276639,
0.699437,
-0.439979,
0.055153
],
"network.8.weight": [
[
-0.3162,
-0.783063,
0.428076,
0.000853,
-0.621814
]
],
"network.8.bias": [
0.631594
]
}
## Activation Signature
### 0
mean: [-0.468700, 2.561888, -0.444280, 2.077078, 1.778376]
std: [2.069445, 2.577607, 1.624741, 2.328470, 1.579207]
pca: [[-0.428077, -0.420105, 0.757292, -0.157184, -0.205097, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.643925, -0.195585, 0.316607, -0.402236, 0.533922, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.212968, -0.604209, -0.431498, -0.380214, -0.508746, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.576091, -0.047184, 0.311584, 0.619539, -0.430093, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.157717, 0.646501, 0.207350, -0.533954, -0.478603, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[33.560801, 34.328108, 34.855767, 35.642633, 42.182996], [44.659439, 45.529857, 45.769021, 48.666951, 230.569921], [23.039759, 25.910838, 26.307046, 31.275899, 39.985236], [36.682986, 36.808802, 39.210202, 39.537449, 186.937045], [22.606060, 22.884760, 23.395168, 29.378481, 160.053817]]
### 2
mean: [2.217623, 2.136524, 1.296855, 2.859960, 2.469604]
std: [1.836982, 1.744596, 0.861450, 2.140131, 2.367519]
pca: [[0.406491, 0.762910, 0.056472, -0.412179, -0.282227, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.439668, -0.061899, -0.019299, -0.268743, 0.854555, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.158101, -0.315230, 0.901471, -0.202944, -0.147641, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.535731, 0.145495, 0.140792, 0.819747, -0.004118, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.573980, -0.541846, -0.404927, -0.211458, -0.410206, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[28.520579, 29.984456, 31.236924, 33.295667, 199.586110], [29.320782, 30.470520, 31.111896, 33.388421, 192.287125], [12.294948, 16.489044, 17.560185, 18.521634, 116.716973], [37.698670, 38.120294, 38.566221, 39.115342, 257.396375], [39.038288, 39.446195, 39.788673, 47.303642, 222.264385]]
### 4
mean: [6.790934, -2.342791, 3.920182, -0.548835, -1.421704]
std: [5.351739, 1.664835, 3.289544, 1.031838, 1.573576]
pca: [[0.792884, -0.293323, 0.126617, 0.515522, -0.059174, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.246125, -0.243131, -0.208134, 0.386510, 0.829217, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.485532, 0.693469, -0.262575, -0.242410, 0.394527, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.147102, 0.426699, 0.831366, 0.283000, 0.158212, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.231035, 0.438040, -0.424892, 0.667829, -0.358072, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[88.119502, 96.729526, 98.822507, 102.845367, 611.184029], [26.608724, 30.382867, 30.667605, 31.280647, 210.851217], [52.556601, 58.847791, 60.186667, 61.895176, 352.816411], [16.366476, 16.892784, 18.298899, 22.988087, 49.395168], [26.059131, 28.899236, 29.732186, 29.908388, 127.953358]]
### 6
mean: [3.393481, 8.134240, -2.255765, -1.019862, 8.461068]
std: [2.881171, 6.618466, 2.534480, 0.333338, 7.011342]
pca: [[0.277224, 0.756763, 0.314528, -0.329603, -0.378008, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.637543, -0.405094, 0.055807, 0.315189, -0.571821, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244021, 0.448294, -0.176668, 0.828028, -0.150482, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.030857, -0.098454, 0.908343, 0.289553, 0.283596, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.675416, 0.229232, -0.204105, 0.150156, 0.653498, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[46.832860, 52.539077, 52.706282, 54.818254, 305.413331], [109.290391, 119.406668, 122.924724, 128.162047, 732.081627], [42.058769, 45.609195, 47.433203, 49.068435, 203.018847], [5.207671, 5.914503, 6.061408, 6.375110, 91.787608], [115.285793, 127.130981, 129.736896, 135.051047, 761.496089]]
### 8
mean: [-12.082642]
std: [10.430984]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[171.765748, 192.983657, 195.471308, 198.167079, 1087.437763]]
## 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": -0.46869993209838867, "std": 2.0694453716278076, "pca": [-0.428076833486557, -0.4201045036315918, 0.7572917938232422, -0.1571839451789856, -0.2050970047712326, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [33.56080115098627, 34.328108424251454, 34.855767388969916, 35.64263321212822, 42.182995676994324]}, "1": {"mean": 2.5618882179260254, "std": 2.577606678009033, "pca": [0.6439251899719238, -0.19558459520339966, 0.31660735607147217, -0.4022364914417267, 0.5339218974113464, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [44.65943863740489, 45.52985717990385, 45.76902133695698, 48.66695058854327, 230.56992060691118]}, "2": {"mean": -0.44428035616874695, "std": 1.6247408390045166, "pca": [0.21296849846839905, -0.604209303855896, -0.43149805068969727, -0.38021430373191833, -0.5087456107139587, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [23.039759326923637, 25.91083815944852, 26.307045809185627, 31.275899215281125, 39.98523649573326]}, "3": {"mean": 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31.236924350398837, 33.29566728291144, 199.5861100703478]}, "1": {"mean": 2.136523723602295, "std": 1.744596242904663, "pca": [0.439668208360672, -0.061899226158857346, -0.01929899863898754, -0.2687434256076813, 0.8545553684234619, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [29.320781809642963, 30.470520202681627, 31.111895536962322, 33.3884209842168, 192.28712539374828]}, "2": {"mean": 1.2968552112579346, "std": 0.8614500761032104, "pca": [0.15810105204582214, -0.31523022055625916, 0.9014708995819092, -0.20294438302516937, -0.14764051139354706, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [12.294947546371633, 16.48904421822017, 17.560184813457123, 18.521633839289816, 116.71697304397821]}, "3": {"mean": 2.859959602355957, "std": 2.1401314735412598, "pca": [0.5357307195663452, 0.1454945057630539, 0.14079175889492035, 0.8197466731071472, -0.00411804998293519, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [37.69867004340299, 38.12029415569408, 38.56622103609094, 39.11534157502641, 257.3963754475117]}, "4": {"mean": 2.469604253768921, "std": 2.367518663406372, "pca": [0.5739801526069641, -0.5418463945388794, -0.40492749214172363, -0.21145789325237274, -0.41020551323890686, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [39.038288203658695, 39.446194609579, 39.788673329067116, 47.30364174750121, 222.26438495516777]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 6.790933609008789, "std": 5.351739406585693, "pca": [0.7928837537765503, -0.293323278427124, 0.12661702930927277, 0.5155224204063416, -0.05917413905262947, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [88.11950224822367, 96.72952570544363, 98.82250705096698, 102.84536742166334, 611.1840286552906]}, "1": {"mean": -2.3427913188934326, "std": 1.6648352146148682, "pca": [-0.2461252510547638, -0.24313051998615265, -0.2081344723701477, 0.3865096867084503, 0.8292165994644165, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [26.608724404261725, 30.382866999954032, 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"layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 3.393481492996216, "std": 2.8811705112457275, "pca": [0.2772236764431, 0.7567633986473083, 0.31452810764312744, -0.32960349321365356, -0.3780076801776886, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [46.83286032556049, 52.53907721168523, 52.706282110541814, 54.81825359078203, 305.41333102434874]}, "1": {"mean": 8.13424015045166, "std": 6.618465900421143, "pca": [0.6375434398651123, -0.4050937294960022, 0.055807117372751236, 0.31518933176994324, -0.5718205571174622, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [109.2903905809398, 119.4066678684327, 122.92472439418944, 128.16204657604362, 732.08162727952]}, "2": {"mean": -2.255764961242676, "std": 2.5344796180725098, "pca": [-0.24402068555355072, 0.4482942521572113, -0.17666786909103394, 0.828027606010437, -0.15048223733901978, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [42.05876924210864, 45.60919528815715, 47.433202998897215, 49.06843526379918, 203.01884692907333]}, "3": {"mean": -1.019862413406372, "std": 0.33333826065063477, "pca": [-0.030857456848025322, -0.09845366328954697, 0.9083432555198669, 0.28955259919166565, 0.2835958003997803, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [5.207671082334275, 5.914502674900893, 6.061407611507377, 6.375109905568889, 91.78760826587677]}, "4": {"mean": 8.461068153381348, "std": 7.0113420486450195, "pca": [0.6754162907600403, 0.22923217713832855, -0.20410457253456116, 0.1501559019088745, 0.6534982919692993, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [115.28579317079019, 127.13098086753703, 129.7368963739155, 135.0510465888444, 761.49608913064]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -12.0826416015625, "std": 10.430984497070312, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [171.7657478805822, 192.98365741043483, 195.4713081951946, 198.1670792559534, 1087.4377631247044]}}, "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": [[-0.5789, -0.558651, -0.109826, 0.135284, 0.619257], [0.782796, 0.418141, 0.467722, -0.206715, 0.262922], [0.198646, -0.015228, 0.3057, -0.622066, 0.262646], [0.752176, 0.678363, -0.043975, -0.204195, 0.286212], [0.216849, 0.13131, 0.289771, 0.54909, -0.503534]], "network.0.bias": [0.44525, -0.032205, -0.292253, 0.081659, 0.107476], "network.2.weight": [[-0.618701, 0.175362, 0.222224, -0.014336, 0.889483], [-0.33864, 0.305476, 0.244132, 0.204486, 0.412412], [0.497891, 0.174938, 0.098876, 0.124535, 0.208072], [-0.465845, 0.040303, 0.302613, 0.537296, 0.664971], [-0.449174, 0.427284, 0.365347, 0.402983, 0.177209]], "network.2.bias": [0.375947, 0.219651, -0.096607, 0.498916, 0.251917], "network.4.weight": [[0.543391, 0.8137, -0.249076, 0.615019, 0.902257], [-0.188048, -0.025146, -0.13233, -0.161714, -0.407602], [-0.037426, 0.17968, 0.072313, 0.714543, 0.659342], [-0.047565, 0.113084, 0.533995, -0.370124, -0.305299], [-0.578833, 0.213199, 0.022087, 0.024728, -0.505705]], "network.4.bias": [0.085348, -0.20062, -0.178992, 0.452869, 0.61421], "network.6.weight": [[0.159667, -0.2728, 0.600383, -0.133536, -0.292199], [0.885806, 0.124571, 0.513737, -0.791114, -0.463219], [-0.373281, 0.048101, -0.130846, 0.332173, 0.397623], [-0.172395, -0.160088, 0.164381, -0.191508, -0.168454], [0.856492, 0.105367, 0.694982, -0.608094, -0.414306]], "network.6.bias": [0.005797, 0.276639, 0.699437, -0.439979, 0.055153], "network.8.weight": [[-0.3162, -0.783063, 0.428076, 0.000853, -0.621814]], "network.8.bias": [0.631594]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7128421068191528, "train_acc": 0.455, "val_loss": 0.6851301789283752, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.67754265666008, "train_acc": 0.62, "val_loss": 0.6221412420272827, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6185056567192078, "train_acc": 0.59, "val_loss": 0.4812608063220978, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4748656898736954, "train_acc": 0.855, "val_loss": 0.3473670184612274, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.37898431718349457, "train_acc": 0.875, "val_loss": 0.3124496638774872, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.33679577708244324, "train_acc": 0.905, "val_loss": 0.28754258155822754, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2917131781578064, "train_acc": 0.91, "val_loss": 0.2354709953069687, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2812483161687851, "train_acc": 0.905, "val_loss": 0.26219454407691956, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.26378875225782394, "train_acc": 0.915, "val_loss": 0.3427225351333618, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.26762717962265015, "train_acc": 0.91, "val_loss": 0.3395285904407501, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6851301789283752, "final_val_loss": 0.6221412420272827, "initial_val_acc": 0.6, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.4812608063220978, "final_val_loss": 0.3395285904407501, "initial_val_acc": 0.84, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
9,979
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 0.86, "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": 3791, "learning_rate": 0.038657986531485534, "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: 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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"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: [0.168986, 2.253609, 1.202774, 0.118237, -0.065564, -0.430811, 1.434410]
std: [2.028349, 2.321705, 1.469314, 2.256677, 0.710934, 1.481027, 1.954871]
pca: [[-0.399240, 0.486735, 0.010482, 0.503584, 0.174524, 0.146318, 0.546005, 0.000000, 0.000000, 0.000000], [0.547590, 0.371413, -0.108638, -0.332791, 0.206132, -0.456271, 0.434709, 0.000000, 0.000000, 0.000000], [0.278890, 0.331524, -0.306142, 0.592271, -0.110603, -0.297078, -0.517026, 0.000000, 0.000000, 0.000000], [-0.477988, 0.450117, -0.444119, -0.492531, -0.309412, -0.049540, -0.175795, 0.000000, 0.000000, 0.000000], [-0.146153, -0.061924, -0.324779, -0.092625, 0.887154, 0.069951, -0.262315, 0.000000, 0.000000, 0.000000], [-0.206693, 0.352306, 0.760866, -0.122967, 0.178352, -0.299180, -0.343224, 0.000000, 0.000000, 0.000000], [0.412816, 0.429737, 0.112807, -0.136312, 0.015204, 0.765047, -0.167556, 0.000000, 0.000000, 0.000000]]
fourier: [[28.158010, 30.722952, 32.475884, 41.598426, 43.931736], [37.644627, 38.054862, 43.133105, 45.161738, 202.824798], [27.083750, 27.120717, 28.281354, 29.026117, 108.249644], [31.142165, 31.210853, 32.287705, 41.232176, 45.147935], [9.884201, 10.297672, 10.547772, 10.598629, 15.519989], [22.935630, 25.114966, 25.246285, 32.135821, 38.772954], [30.277396, 32.735690, 39.082765, 42.038436, 129.096868]]
### 2
mean: [1.435743, 2.609408, -0.244209, -1.761208, -1.077367, 0.733866, 2.952785]
std: [1.579675, 3.152574, 1.220150, 1.298239, 1.492344, 1.458432, 2.922431]
pca: [[0.295455, -0.293119, -0.246593, 0.667315, 0.082848, 0.518646, -0.211691, 0.000000, 0.000000, 0.000000], [0.605270, 0.298733, 0.383482, -0.064294, 0.290663, -0.172881, -0.528055, 0.000000, 0.000000, 0.000000], [-0.211844, -0.321693, 0.857004, 0.052404, 0.041207, 0.317229, 0.110003, 0.000000, 0.000000, 0.000000], [-0.159432, 0.790457, 0.060282, 0.042090, -0.207123, 0.548968, 0.009351, 0.000000, 0.000000, 0.000000], [-0.285069, -0.148867, -0.226548, -0.516076, 0.541360, 0.406182, -0.347651, 0.000000, 0.000000, 0.000000], [0.279241, 0.161236, -0.019565, 0.034068, 0.619656, 0.070153, 0.711048, 0.000000, 0.000000, 0.000000], [0.562866, -0.219938, -0.048340, -0.527773, -0.432446, 0.359462, 0.194180, 0.000000, 0.000000, 0.000000]]
fourier: [[25.392983, 26.964750, 31.714137, 33.663127, 129.216875], [48.292511, 50.469700, 53.011435, 57.042675, 234.846734], [17.198497, 17.219555, 18.564945, 21.978806, 24.318250], [19.761550, 24.751764, 26.436326, 30.013617, 158.508763], [23.189751, 23.791956, 24.425289, 25.782029, 96.963052], [22.511237, 24.414031, 24.501179, 26.614103, 66.047980], [47.121145, 48.432142, 54.397008, 56.344308, 265.750701]]
### 4
mean: [3.609560, 2.650151, 3.409387, -0.738067, 0.210875, 3.949808, -1.688004]
std: [3.438841, 2.667772, 3.633223, 1.384846, 0.492575, 4.072834, 1.358020]
pca: [[0.474773, -0.229089, -0.309924, -0.259912, -0.323127, -0.401722, -0.541027, 0.000000, 0.000000, 0.000000], [0.367808, 0.177900, 0.441308, -0.254270, -0.284318, -0.395318, 0.580129, 0.000000, 0.000000, 0.000000], [0.502014, 0.050779, 0.216823, 0.399863, 0.684739, -0.223518, -0.140259, 0.000000, 0.000000, 0.000000], [-0.183933, 0.773579, 0.014880, 0.354419, -0.283241, -0.269105, -0.298776, 0.000000, 0.000000, 0.000000], [0.056414, 0.023334, 0.729168, -0.248207, -0.101366, 0.391713, -0.489149, 0.000000, 0.000000, 0.000000], [0.562803, 0.102870, -0.188435, 0.370854, -0.352579, 0.594096, 0.149558, 0.000000, 0.000000, 0.000000], [-0.183106, -0.551126, 0.307843, 0.618991, -0.362039, -0.231464, -0.012937, 0.000000, 0.000000, 0.000000]]
fourier: [[54.101200, 56.931588, 58.685075, 64.316746, 324.860363], [42.518546, 43.777779, 50.438833, 52.344433, 238.513581], [58.567078, 59.008184, 65.950114, 70.254562, 306.844848], [20.422012, 22.023196, 23.290718, 25.507699, 66.426033], [8.181074, 8.696163, 9.350344, 11.069834, 18.978752], [65.559514, 66.895177, 72.182844, 77.901760, 355.482720], [22.170486, 23.585717, 24.659909, 26.545843, 151.920381]]
### 6
mean: [6.861018, 4.811995, -1.879460, -1.722021, 5.281238, -1.170241, -0.269082]
std: [6.839080, 4.736377, 1.393925, 2.252244, 5.281764, 1.743991, 0.126852]
pca: [[0.660923, -0.242301, -0.075453, -0.297169, -0.537935, 0.225133, -0.265348, 0.000000, 0.000000, 0.000000], [0.457353, 0.663218, 0.399884, 0.088453, -0.066775, -0.408348, 0.109692, 0.000000, 0.000000, 0.000000], [-0.133567, -0.374076, 0.788815, 0.129410, 0.008906, -0.077394, -0.444052, 0.000000, 0.000000, 0.000000], [-0.217552, 0.039860, 0.374957, 0.033777, -0.478540, 0.440747, 0.621362, 0.000000, 0.000000, 0.000000], [0.510425, -0.173335, 0.104872, 0.375663, 0.558537, 0.442616, 0.222323, 0.000000, 0.000000, 0.000000], [-0.167893, 0.565157, -0.018209, 0.121922, -0.014815, 0.599253, -0.527151, 0.000000, 0.000000, 0.000000], [0.010893, -0.102288, -0.245454, 0.854395, -0.406084, -0.165247, -0.083482, 0.000000, 0.000000, 0.000000]]
fourier: [[109.261388, 111.928038, 121.282855, 130.392326, 617.491643], [76.817744, 77.714542, 86.873604, 92.353597, 433.079520], [23.079724, 23.293433, 23.487876, 26.291555, 169.151411], [36.054834, 37.177897, 39.119710, 42.585764, 154.981883], [84.413525, 86.364015, 94.123084, 100.913054, 475.311416], [26.826708, 28.521702, 29.815457, 32.232779, 105.321728], [1.918618, 2.128562, 2.137895, 2.292220, 24.217383]]
### 8
mean: [7.451712, -4.642509, 6.112984, -1.024379, 7.598444, -4.281602, 5.827123]
std: [7.137038, 4.375197, 6.371180, 0.922504, 7.684833, 4.061604, 5.458784]
pca: [[0.484614, 0.580041, -0.101726, -0.437886, 0.436423, -0.060922, 0.180095, 0.000000, 0.000000, 0.000000], [-0.297133, 0.052090, 0.378062, 0.256406, 0.643215, -0.473356, -0.250066, 0.000000, 0.000000, 0.000000], [0.432643, -0.400287, 0.335881, 0.212637, 0.037326, -0.231683, 0.662940, 0.000000, 0.000000, 0.000000], [-0.062321, 0.307728, 0.522829, 0.275247, 0.109725, 0.725082, 0.120523, 0.000000, 0.000000, 0.000000], [0.521909, -0.090846, 0.498601, -0.164472, -0.267824, -0.072486, -0.605575, 0.000000, 0.000000, 0.000000], [-0.275682, 0.537399, 0.314604, -0.051578, -0.546507, -0.417307, 0.246477, 0.000000, 0.000000, 0.000000], [0.370686, 0.329944, -0.336119, 0.769302, -0.109444, -0.115772, -0.153447, 0.000000, 0.000000, 0.000000]]
fourier: [[114.539297, 116.261933, 128.126957, 136.143408, 670.654096], [70.737211, 71.565047, 78.078998, 83.648321, 417.825875], [103.900557, 103.989021, 114.882786, 122.981935, 550.168617], [15.127559, 15.323838, 15.764156, 17.496596, 92.194123], [124.781478, 125.226737, 138.794744, 147.969614, 683.859924], [66.401343, 66.601209, 72.444790, 78.226701, 385.344205], [87.607891, 89.103315, 97.508947, 104.067211, 524.441075]]
### 10
mean: [11.781371, 6.190038, 7.861385, 13.190588, -0.596079, -1.451000, -1.890948]
std: [11.407135, 6.328252, 7.505213, 13.153238, 0.191003, 1.751894, 2.447647]
pca: [[0.564324, -0.218122, 0.505012, -0.531556, -0.204859, 0.222579, 0.069738, 0.000000, 0.000000, 0.000000], [0.313061, 0.553660, -0.278341, -0.474859, 0.372509, -0.372167, -0.123357, 0.000000, 0.000000, 0.000000], [0.371290, -0.369924, -0.458308, 0.102964, 0.254724, 0.008560, 0.663095, 0.000000, 0.000000, 0.000000], [0.650706, 0.112399, -0.039584, 0.601167, 0.011800, 0.130999, -0.428579, 0.000000, 0.000000, 0.000000], [-0.009369, 0.343784, -0.496636, -0.177549, -0.461290, 0.623069, 0.050505, 0.000000, 0.000000, 0.000000], [-0.086656, 0.424008, 0.395957, 0.153388, 0.533618, 0.492903, 0.323570, 0.000000, 0.000000, 0.000000], [-0.121079, -0.445462, -0.229014, -0.254759, 0.506665, 0.404411, -0.499296, 0.000000, 0.000000, 0.000000]]
fourier: [[185.611486, 186.093347, 204.916729, 219.010932, 1060.323238], [103.183629, 103.380361, 113.801396, 121.742010, 557.103438], [122.155112, 122.333451, 134.907737, 143.973168, 707.524610], [214.238937, 214.556598, 236.356809, 252.683986, 1187.153025], [3.010711, 3.142353, 3.268509, 3.480770, 53.647124], [28.403030, 28.507076, 31.518776, 33.474209, 130.589971], [39.962806, 40.019284, 43.975933, 47.186467, 170.185348]]
### 12
mean: [-11.486658]
std: [11.595963]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[188.854574, 188.957781, 208.548396, 222.464204, 1033.799157]]
## 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: 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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"network.2.weight": [
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[
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[
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0.130287,
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],
[
0.049756,
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0.720173,
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0.284175
]
],
"network.2.bias": [
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"network.4.weight": [
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[
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0.104326,
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],
[
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[
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0.025015,
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[
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0.27611,
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"network.8.weight": [
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[
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],
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[
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0.262913,
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[
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0.510899,
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0.469832
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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: [0.168986, 2.253609, 1.202774, 0.118237, -0.065564, -0.430811, 1.434410]
std: [2.028349, 2.321705, 1.469314, 2.256677, 0.710934, 1.481027, 1.954871]
pca: [[-0.399240, 0.486735, 0.010482, 0.503584, 0.174524, 0.146318, 0.546005, 0.000000, 0.000000, 0.000000], [0.547590, 0.371413, -0.108638, -0.332791, 0.206132, -0.456271, 0.434709, 0.000000, 0.000000, 0.000000], [0.278890, 0.331524, -0.306142, 0.592271, -0.110603, -0.297078, -0.517026, 0.000000, 0.000000, 0.000000], [-0.477988, 0.450117, -0.444119, -0.492531, -0.309412, -0.049540, -0.175795, 0.000000, 0.000000, 0.000000], [-0.146153, -0.061924, -0.324779, -0.092625, 0.887154, 0.069951, -0.262315, 0.000000, 0.000000, 0.000000], [-0.206693, 0.352306, 0.760866, -0.122967, 0.178352, -0.299180, -0.343224, 0.000000, 0.000000, 0.000000], [0.412816, 0.429737, 0.112807, -0.136312, 0.015204, 0.765047, -0.167556, 0.000000, 0.000000, 0.000000]]
fourier: [[28.158010, 30.722952, 32.475884, 41.598426, 43.931736], [37.644627, 38.054862, 43.133105, 45.161738, 202.824798], [27.083750, 27.120717, 28.281354, 29.026117, 108.249644], [31.142165, 31.210853, 32.287705, 41.232176, 45.147935], [9.884201, 10.297672, 10.547772, 10.598629, 15.519989], [22.935630, 25.114966, 25.246285, 32.135821, 38.772954], [30.277396, 32.735690, 39.082765, 42.038436, 129.096868]]
### 2
mean: [1.435743, 2.609408, -0.244209, -1.761208, -1.077367, 0.733866, 2.952785]
std: [1.579675, 3.152574, 1.220150, 1.298239, 1.492344, 1.458432, 2.922431]
pca: [[0.295455, -0.293119, -0.246593, 0.667315, 0.082848, 0.518646, -0.211691, 0.000000, 0.000000, 0.000000], [0.605270, 0.298733, 0.383482, -0.064294, 0.290663, -0.172881, -0.528055, 0.000000, 0.000000, 0.000000], [-0.211844, -0.321693, 0.857004, 0.052404, 0.041207, 0.317229, 0.110003, 0.000000, 0.000000, 0.000000], [-0.159432, 0.790457, 0.060282, 0.042090, -0.207123, 0.548968, 0.009351, 0.000000, 0.000000, 0.000000], [-0.285069, -0.148867, -0.226548, -0.516076, 0.541360, 0.406182, -0.347651, 0.000000, 0.000000, 0.000000], [0.279241, 0.161236, -0.019565, 0.034068, 0.619656, 0.070153, 0.711048, 0.000000, 0.000000, 0.000000], [0.562866, -0.219938, -0.048340, -0.527773, -0.432446, 0.359462, 0.194180, 0.000000, 0.000000, 0.000000]]
fourier: [[25.392983, 26.964750, 31.714137, 33.663127, 129.216875], [48.292511, 50.469700, 53.011435, 57.042675, 234.846734], [17.198497, 17.219555, 18.564945, 21.978806, 24.318250], [19.761550, 24.751764, 26.436326, 30.013617, 158.508763], [23.189751, 23.791956, 24.425289, 25.782029, 96.963052], [22.511237, 24.414031, 24.501179, 26.614103, 66.047980], [47.121145, 48.432142, 54.397008, 56.344308, 265.750701]]
### 4
mean: [3.609560, 2.650151, 3.409387, -0.738067, 0.210875, 3.949808, -1.688004]
std: [3.438841, 2.667772, 3.633223, 1.384846, 0.492575, 4.072834, 1.358020]
pca: [[0.474773, -0.229089, -0.309924, -0.259912, -0.323127, -0.401722, -0.541027, 0.000000, 0.000000, 0.000000], [0.367808, 0.177900, 0.441308, -0.254270, -0.284318, -0.395318, 0.580129, 0.000000, 0.000000, 0.000000], [0.502014, 0.050779, 0.216823, 0.399863, 0.684739, -0.223518, -0.140259, 0.000000, 0.000000, 0.000000], [-0.183933, 0.773579, 0.014880, 0.354419, -0.283241, -0.269105, -0.298776, 0.000000, 0.000000, 0.000000], [0.056414, 0.023334, 0.729168, -0.248207, -0.101366, 0.391713, -0.489149, 0.000000, 0.000000, 0.000000], [0.562803, 0.102870, -0.188435, 0.370854, -0.352579, 0.594096, 0.149558, 0.000000, 0.000000, 0.000000], [-0.183106, -0.551126, 0.307843, 0.618991, -0.362039, -0.231464, -0.012937, 0.000000, 0.000000, 0.000000]]
fourier: [[54.101200, 56.931588, 58.685075, 64.316746, 324.860363], [42.518546, 43.777779, 50.438833, 52.344433, 238.513581], [58.567078, 59.008184, 65.950114, 70.254562, 306.844848], [20.422012, 22.023196, 23.290718, 25.507699, 66.426033], [8.181074, 8.696163, 9.350344, 11.069834, 18.978752], [65.559514, 66.895177, 72.182844, 77.901760, 355.482720], [22.170486, 23.585717, 24.659909, 26.545843, 151.920381]]
### 6
mean: [6.861018, 4.811995, -1.879460, -1.722021, 5.281238, -1.170241, -0.269082]
std: [6.839080, 4.736377, 1.393925, 2.252244, 5.281764, 1.743991, 0.126852]
pca: [[0.660923, -0.242301, -0.075453, -0.297169, -0.537935, 0.225133, -0.265348, 0.000000, 0.000000, 0.000000], [0.457353, 0.663218, 0.399884, 0.088453, -0.066775, -0.408348, 0.109692, 0.000000, 0.000000, 0.000000], [-0.133567, -0.374076, 0.788815, 0.129410, 0.008906, -0.077394, -0.444052, 0.000000, 0.000000, 0.000000], [-0.217552, 0.039860, 0.374957, 0.033777, -0.478540, 0.440747, 0.621362, 0.000000, 0.000000, 0.000000], [0.510425, -0.173335, 0.104872, 0.375663, 0.558537, 0.442616, 0.222323, 0.000000, 0.000000, 0.000000], [-0.167893, 0.565157, -0.018209, 0.121922, -0.014815, 0.599253, -0.527151, 0.000000, 0.000000, 0.000000], [0.010893, -0.102288, -0.245454, 0.854395, -0.406084, -0.165247, -0.083482, 0.000000, 0.000000, 0.000000]]
fourier: [[109.261388, 111.928038, 121.282855, 130.392326, 617.491643], [76.817744, 77.714542, 86.873604, 92.353597, 433.079520], [23.079724, 23.293433, 23.487876, 26.291555, 169.151411], [36.054834, 37.177897, 39.119710, 42.585764, 154.981883], [84.413525, 86.364015, 94.123084, 100.913054, 475.311416], [26.826708, 28.521702, 29.815457, 32.232779, 105.321728], [1.918618, 2.128562, 2.137895, 2.292220, 24.217383]]
### 8
mean: [7.451712, -4.642509, 6.112984, -1.024379, 7.598444, -4.281602, 5.827123]
std: [7.137038, 4.375197, 6.371180, 0.922504, 7.684833, 4.061604, 5.458784]
pca: [[0.484614, 0.580041, -0.101726, -0.437886, 0.436423, -0.060922, 0.180095, 0.000000, 0.000000, 0.000000], [-0.297133, 0.052090, 0.378062, 0.256406, 0.643215, -0.473356, -0.250066, 0.000000, 0.000000, 0.000000], [0.432643, -0.400287, 0.335881, 0.212637, 0.037326, -0.231683, 0.662940, 0.000000, 0.000000, 0.000000], [-0.062321, 0.307728, 0.522829, 0.275247, 0.109725, 0.725082, 0.120523, 0.000000, 0.000000, 0.000000], [0.521909, -0.090846, 0.498601, -0.164472, -0.267824, -0.072486, -0.605575, 0.000000, 0.000000, 0.000000], [-0.275682, 0.537399, 0.314604, -0.051578, -0.546507, -0.417307, 0.246477, 0.000000, 0.000000, 0.000000], [0.370686, 0.329944, -0.336119, 0.769302, -0.109444, -0.115772, -0.153447, 0.000000, 0.000000, 0.000000]]
fourier: [[114.539297, 116.261933, 128.126957, 136.143408, 670.654096], [70.737211, 71.565047, 78.078998, 83.648321, 417.825875], [103.900557, 103.989021, 114.882786, 122.981935, 550.168617], [15.127559, 15.323838, 15.764156, 17.496596, 92.194123], [124.781478, 125.226737, 138.794744, 147.969614, 683.859924], [66.401343, 66.601209, 72.444790, 78.226701, 385.344205], [87.607891, 89.103315, 97.508947, 104.067211, 524.441075]]
### 10
mean: [11.781371, 6.190038, 7.861385, 13.190588, -0.596079, -1.451000, -1.890948]
std: [11.407135, 6.328252, 7.505213, 13.153238, 0.191003, 1.751894, 2.447647]
pca: [[0.564324, -0.218122, 0.505012, -0.531556, -0.204859, 0.222579, 0.069738, 0.000000, 0.000000, 0.000000], [0.313061, 0.553660, -0.278341, -0.474859, 0.372509, -0.372167, -0.123357, 0.000000, 0.000000, 0.000000], [0.371290, -0.369924, -0.458308, 0.102964, 0.254724, 0.008560, 0.663095, 0.000000, 0.000000, 0.000000], [0.650706, 0.112399, -0.039584, 0.601167, 0.011800, 0.130999, -0.428579, 0.000000, 0.000000, 0.000000], [-0.009369, 0.343784, -0.496636, -0.177549, -0.461290, 0.623069, 0.050505, 0.000000, 0.000000, 0.000000], [-0.086656, 0.424008, 0.395957, 0.153388, 0.533618, 0.492903, 0.323570, 0.000000, 0.000000, 0.000000], [-0.121079, -0.445462, -0.229014, -0.254759, 0.506665, 0.404411, -0.499296, 0.000000, 0.000000, 0.000000]]
fourier: [[185.611486, 186.093347, 204.916729, 219.010932, 1060.323238], [103.183629, 103.380361, 113.801396, 121.742010, 557.103438], [122.155112, 122.333451, 134.907737, 143.973168, 707.524610], [214.238937, 214.556598, 236.356809, 252.683986, 1187.153025], [3.010711, 3.142353, 3.268509, 3.480770, 53.647124], [28.403030, 28.507076, 31.518776, 33.474209, 130.589971], [39.962806, 40.019284, 43.975933, 47.186467, 170.185348]]
### 12
mean: [-11.486658]
std: [11.595963]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[188.854574, 188.957781, 208.548396, 222.464204, 1033.799157]]
## 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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9,980
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.6, "improved_accuracy": 0.82, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6934, "learning_rate": 0.07294267765974558, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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[
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"network.6.weight": [
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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.bias": [
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}
## Activation Signature
### 0
mean: [-3.002335, 0.508543, -0.054172, 0.732137, -0.049009]
std: [2.322416, 2.141619, 2.355349, 0.647117, 2.039876]
pca: [[-0.428554, 0.762118, -0.450366, 0.168750, 0.064890, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.541061, 0.348829, 0.348790, 0.641416, 0.229134, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.509587, 0.219163, 0.805937, -0.056536, -0.198891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.058704, 0.170889, 0.156453, -0.520389, 0.819798, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.510363, 0.469317, 0.038772, -0.534890, -0.481312, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.920653, 37.258831, 38.292614, 48.614908, 270.210159], [34.289961, 34.936068, 35.328317, 41.908280, 45.768871], [34.269614, 34.401714, 34.807313, 39.526080, 40.821364], [9.639692, 10.394887, 10.912746, 13.242657, 65.892309], [29.199978, 29.405322, 37.847571, 39.820654, 42.340431]]
### 2
mean: [0.406480, -0.162812, -0.751000, 0.804277, 0.155586]
std: [1.954334, 1.356904, 0.904147, 2.098360, 1.829620]
pca: [[-0.517987, -0.547782, -0.302011, -0.411060, 0.414057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361707, 0.088573, 0.841123, 0.101422, 0.378879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206716, 0.750852, -0.392441, 0.039550, 0.487766, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562778, -0.317031, -0.063187, 0.407105, 0.642686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491331, -0.166741, -0.208086, 0.808359, -0.184517, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.788323, 32.998183, 34.712002, 36.583220, 37.864359], [21.239080, 23.461203, 23.481500, 24.386971, 27.712486], [12.991418, 13.985751, 17.157788, 17.973397, 67.590011], [36.303771, 37.392530, 38.522942, 39.648390, 72.384926], [29.045748, 31.305103, 31.484789, 33.575121, 35.269047]]
### 4
mean: [1.663052, 0.832975, -0.001566, 0.196301, -0.140735]
std: [3.835842, 1.883378, 2.557785, 1.432350, 1.361071]
pca: [[0.719016, 0.588250, -0.131714, -0.069742, 0.338770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341152, 0.628682, 0.302167, -0.519248, -0.357003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483318, 0.112254, 0.109051, -0.073149, 0.858230, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259185, 0.483030, -0.038730, 0.824662, -0.133932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.256627, -0.113149, 0.936992, 0.200247, 0.057329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.530740, 61.397628, 63.176157, 79.146815, 149.674677], [33.101959, 33.300549, 33.888158, 37.622004, 74.967741], [39.438402, 39.826441, 42.860276, 44.433337, 53.100739], [23.017382, 25.247772, 25.271906, 25.479039, 28.746342], [21.133601, 21.263260, 22.526353, 23.773677, 28.098183]]
### 6
mean: [0.489971, -2.726281, 1.521127, 0.071172, 0.070697]
std: [3.634312, 1.734210, 1.846763, 2.223393, 4.302907]
pca: [[0.575366, -0.173908, -0.176624, -0.029032, 0.778891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174763, 0.717208, -0.007882, 0.599203, 0.309780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218552, -0.659218, 0.208651, 0.683050, 0.087030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353035, 0.038428, 0.750419, -0.359399, 0.426139, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682652, 0.139010, 0.601729, 0.210685, -0.328933, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.676774, 56.986808, 60.316986, 61.734888, 75.589471], [25.157382, 27.348419, 27.625665, 29.368235, 245.365274], [27.759344, 28.537522, 35.983969, 36.790799, 136.901411], [33.832495, 34.474956, 38.388279, 38.448155, 46.314505], [67.272362, 69.032720, 73.799433, 75.777535, 88.472052]]
### 8
mean: [1.331683, 0.593713, 1.739113, -0.294018, -1.531848]
std: [3.255024, 1.761608, 6.960611, 3.150507, 1.311932]
pca: [[0.382297, -0.254972, 0.003310, 0.348315, 0.817009, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195323, -0.401800, 0.054387, 0.808606, -0.378951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.822136, -0.255299, -0.269980, -0.106036, -0.418069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363320, 0.458540, 0.774883, 0.207880, -0.118669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.088255, 0.705769, -0.568945, 0.412765, 0.005290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.291538, 52.271034, 53.511147, 67.528006, 119.851476], [31.130590, 32.247310, 32.813785, 34.251263, 53.434177], [109.070799, 114.687912, 117.138935, 145.125141, 156.520182], [50.104159, 54.328934, 56.057590, 56.063192, 63.725248], [19.960980, 21.863966, 25.645766, 26.301802, 137.866320]]
### 10
mean: [3.457698, -0.610811, -0.175954, 4.194819, 3.825112]
std: [7.766642, 2.152485, 0.556599, 8.706928, 8.067913]
pca: [[0.541167, 0.187349, 0.619504, -0.455253, -0.284599, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148110, 0.720164, -0.449185, -0.506955, 0.025619, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032431, 0.646759, 0.393525, 0.593288, 0.271658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.606718, -0.088316, -0.211841, -0.076749, 0.757183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562177, 0.142008, -0.463367, 0.421734, -0.520790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.142992, 122.088696, 122.170757, 158.718514, 311.192826], [33.597237, 35.467786, 36.008131, 45.262580, 54.973023], [10.018330, 10.161656, 10.312410, 10.994733, 15.835905], [134.929793, 137.067430, 137.179075, 178.659828, 377.533725], [125.802520, 126.582431, 126.993552, 165.027659, 344.260035]]
### 12
mean: [-12.488397]
std: [26.043470]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[404.920684, 409.431090, 409.721402, 532.413147, 1123.955764]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.297735,
-0.122083,
-0.869977,
0.356743
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-0.016133,
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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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],
"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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1.272827
]
],
"network.6.bias": [
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0.19173
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"network.8.weight": [
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[
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0.299196,
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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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],
"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: [-3.002335, 0.508543, -0.054172, 0.732137, -0.049009]
std: [2.322416, 2.141619, 2.355349, 0.647117, 2.039876]
pca: [[-0.428554, 0.762118, -0.450366, 0.168750, 0.064890, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.541061, 0.348829, 0.348790, 0.641416, 0.229134, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.509587, 0.219163, 0.805937, -0.056536, -0.198891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.058704, 0.170889, 0.156453, -0.520389, 0.819798, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.510363, 0.469317, 0.038772, -0.534890, -0.481312, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.920653, 37.258831, 38.292614, 48.614908, 270.210159], [34.289961, 34.936068, 35.328317, 41.908280, 45.768871], [34.269614, 34.401714, 34.807313, 39.526080, 40.821364], [9.639692, 10.394887, 10.912746, 13.242657, 65.892309], [29.199978, 29.405322, 37.847571, 39.820654, 42.340431]]
### 2
mean: [0.406480, -0.162812, -0.751000, 0.804277, 0.155586]
std: [1.954334, 1.356904, 0.904147, 2.098360, 1.829620]
pca: [[-0.517987, -0.547782, -0.302011, -0.411060, 0.414057, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.361707, 0.088573, 0.841123, 0.101422, 0.378879, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.206716, 0.750852, -0.392441, 0.039550, 0.487766, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562778, -0.317031, -0.063187, 0.407105, 0.642686, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.491331, -0.166741, -0.208086, 0.808359, -0.184517, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.788323, 32.998183, 34.712002, 36.583220, 37.864359], [21.239080, 23.461203, 23.481500, 24.386971, 27.712486], [12.991418, 13.985751, 17.157788, 17.973397, 67.590011], [36.303771, 37.392530, 38.522942, 39.648390, 72.384926], [29.045748, 31.305103, 31.484789, 33.575121, 35.269047]]
### 4
mean: [1.663052, 0.832975, -0.001566, 0.196301, -0.140735]
std: [3.835842, 1.883378, 2.557785, 1.432350, 1.361071]
pca: [[0.719016, 0.588250, -0.131714, -0.069742, 0.338770, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.341152, 0.628682, 0.302167, -0.519248, -0.357003, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.483318, 0.112254, 0.109051, -0.073149, 0.858230, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.259185, 0.483030, -0.038730, 0.824662, -0.133932, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.256627, -0.113149, 0.936992, 0.200247, 0.057329, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.530740, 61.397628, 63.176157, 79.146815, 149.674677], [33.101959, 33.300549, 33.888158, 37.622004, 74.967741], [39.438402, 39.826441, 42.860276, 44.433337, 53.100739], [23.017382, 25.247772, 25.271906, 25.479039, 28.746342], [21.133601, 21.263260, 22.526353, 23.773677, 28.098183]]
### 6
mean: [0.489971, -2.726281, 1.521127, 0.071172, 0.070697]
std: [3.634312, 1.734210, 1.846763, 2.223393, 4.302907]
pca: [[0.575366, -0.173908, -0.176624, -0.029032, 0.778891, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174763, 0.717208, -0.007882, 0.599203, 0.309780, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.218552, -0.659218, 0.208651, 0.683050, 0.087030, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.353035, 0.038428, 0.750419, -0.359399, 0.426139, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.682652, 0.139010, 0.601729, 0.210685, -0.328933, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.676774, 56.986808, 60.316986, 61.734888, 75.589471], [25.157382, 27.348419, 27.625665, 29.368235, 245.365274], [27.759344, 28.537522, 35.983969, 36.790799, 136.901411], [33.832495, 34.474956, 38.388279, 38.448155, 46.314505], [67.272362, 69.032720, 73.799433, 75.777535, 88.472052]]
### 8
mean: [1.331683, 0.593713, 1.739113, -0.294018, -1.531848]
std: [3.255024, 1.761608, 6.960611, 3.150507, 1.311932]
pca: [[0.382297, -0.254972, 0.003310, 0.348315, 0.817009, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.195323, -0.401800, 0.054387, 0.808606, -0.378951, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.822136, -0.255299, -0.269980, -0.106036, -0.418069, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.363320, 0.458540, 0.774883, 0.207880, -0.118669, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.088255, 0.705769, -0.568945, 0.412765, 0.005290, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[51.291538, 52.271034, 53.511147, 67.528006, 119.851476], [31.130590, 32.247310, 32.813785, 34.251263, 53.434177], [109.070799, 114.687912, 117.138935, 145.125141, 156.520182], [50.104159, 54.328934, 56.057590, 56.063192, 63.725248], [19.960980, 21.863966, 25.645766, 26.301802, 137.866320]]
### 10
mean: [3.457698, -0.610811, -0.175954, 4.194819, 3.825112]
std: [7.766642, 2.152485, 0.556599, 8.706928, 8.067913]
pca: [[0.541167, 0.187349, 0.619504, -0.455253, -0.284599, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.148110, 0.720164, -0.449185, -0.506955, 0.025619, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.032431, 0.646759, 0.393525, 0.593288, 0.271658, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.606718, -0.088316, -0.211841, -0.076749, 0.757183, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.562177, 0.142008, -0.463367, 0.421734, -0.520790, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[121.142992, 122.088696, 122.170757, 158.718514, 311.192826], [33.597237, 35.467786, 36.008131, 45.262580, 54.973023], [10.018330, 10.161656, 10.312410, 10.994733, 15.835905], [134.929793, 137.067430, 137.179075, 178.659828, 377.533725], [125.802520, 126.582431, 126.993552, 165.027659, 344.260035]]
### 12
mean: [-12.488397]
std: [26.043470]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[404.920684, 409.431090, 409.721402, 532.413147, 1123.955764]]
## 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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[125.80252034934323, 126.58243094214224, 126.99355225732383, 165.02765880272392, 344.2600346058607]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -12.488396644592285, "std": 26.04347038269043, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [404.92068404419, 409.43109001588107, 409.721401803408, 532.4131468200774, 1123.9557643830776]}}, "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": "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.466908, -0.297735, -0.122083, -0.869977, 0.356743], [-0.452276, 0.379468, -0.016133, 0.437791, -0.808614], [-0.68563, -0.127808, 0.019585, 0.018447, 1.132876], [-0.18505, -0.172459, 0.209552, 0.15897, -0.138524], [-0.412231, 0.161422, 0.405361, 0.204485, -0.972256]], "network.0.bias": [-0.198103, 0.472072, -0.445733, 0.668893, 0.083698], "network.2.weight": [[0.202105, -0.345805, 0.932239, 0.067384, -0.375916], [0.20152, -0.143211, 0.544653, -0.523397, -0.366902], [-0.452222, -0.266345, 0.062004, -0.206183, -0.446282], [0.049642, 0.452033, -0.746687, 0.450205, 0.587162], [0.117658, -0.208604, 0.769545, 0.106866, -0.729757]], "network.2.bias": [0.307365, 0.190442, -0.102177, 0.190399, 0.252369], "network.4.weight": [[1.1152, 0.617227, 0.607618, -0.253902, 0.976538], [-0.408736, -0.28023, -0.110798, 0.700188, -0.206056], [-0.494194, -0.457064, -0.037623, 0.49402, -0.71822], [-0.511763, -0.37664, 0.543863, 0.531102, 0.166554], [0.142145, 0.52739, 0.022209, -0.303662, 0.314854]], "network.4.bias": [0.262849, 0.540143, 0.424025, 0.012203, -0.276175], "network.6.weight": [[0.688142, -0.563435, -0.230628, 0.081793, 0.561742], [-0.623898, -0.15083, -0.575271, -0.527079, 0.326802], [0.102028, 0.696137, 0.535885, 0.574211, -0.447189], [-0.490046, 0.212244, 0.582359, -0.221192, -0.004413], [0.513468, -0.694663, -0.36702, -0.678614, 1.272827]], "network.6.bias": [-0.174079, -0.704638, -0.120244, 0.369274, 0.19173], "network.8.weight": [[0.401809, -0.646098, -0.218023, -0.266537, 0.526365], [0.10049, -0.467156, 0.530072, 0.299196, -0.357459], [0.868436, -0.6693, -0.655711, -0.788596, 1.010606], [0.310173, -0.212315, -0.849393, -0.236383, 0.314546], [-0.484072, 0.422783, -0.541159, -0.509183, 0.384061]], "network.8.bias": [0.451578, -0.06069, 0.523862, 0.245647, -0.196958], "network.10.weight": [[0.008829, -0.233653, 0.907689, 0.98845, 0.504375], [-0.917955, 0.301881, 0.183774, -0.115937, -0.271996], [-0.501693, 0.236585, 0.12306, 0.224884, 0.060792], [0.252902, -0.341678, 0.932888, 0.967791, 0.092104], [0.139794, -0.228714, 0.947401, 0.818149, 0.11061]], "network.10.bias": [-0.071578, 0.053729, -0.225336, 0.29858, 0.104047], "network.12.weight": [[-1.190481, 0.410422, 0.167652, -1.184019, -0.834615]], "network.12.bias": [0.261051]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6846960783004761, "train_acc": 0.56, "val_loss": 0.6652336120605469, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6179828941822052, "train_acc": 0.645, "val_loss": 0.6313327550888062, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5734720528125763, "train_acc": 0.775, "val_loss": 0.5935724377632141, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45736001431941986, "train_acc": 0.755, "val_loss": 0.5525991916656494, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5035462379455566, "train_acc": 0.765, "val_loss": 0.533935010433197, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.48973578214645386, "train_acc": 0.775, "val_loss": 0.5360912084579468, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.45993472635746, "train_acc": 0.815, "val_loss": 0.5073318481445312, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.43143533170223236, "train_acc": 0.82, "val_loss": 0.46085089445114136, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3946417421102524, "train_acc": 0.815, "val_loss": 0.42796629667282104, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.42372311651706696, "train_acc": 0.82, "val_loss": 0.4240901470184326, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.37068982422351837, "train_acc": 0.83, "val_loss": 0.41531580686569214, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.36395905911922455, "train_acc": 0.83, "val_loss": 0.42322564125061035, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6652336120605469, "final_val_loss": 0.6313327550888062, "initial_val_acc": 0.52, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5935724377632141, "final_val_loss": 0.42322564125061035, "initial_val_acc": 0.6, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 9}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
9,981
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.7, "improved_accuracy": 0.98, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7488, "learning_rate": 0.057792901790307334, "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: 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.12.weight": [
[
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.969857, -1.678187, 3.511504, -0.661348, 4.303996, 4.063647, -3.538275]
std: [1.983641, 2.421576, 3.629325, 2.524587, 4.297354, 3.816742, 2.275285]
pca: [[-0.253934, -0.025963, 0.298986, 0.235913, 0.302850, 0.698425, 0.458562, 0.000000, 0.000000, 0.000000], [-0.292252, -0.174449, 0.780002, 0.007364, -0.484030, -0.146547, -0.141198, 0.000000, 0.000000, 0.000000], [0.466274, -0.078123, 0.490520, -0.094200, 0.652964, -0.096198, -0.302301, 0.000000, 0.000000, 0.000000], [-0.282002, -0.450984, -0.193312, 0.668597, 0.175488, -0.044935, -0.447082, 0.000000, 0.000000, 0.000000], [0.556863, -0.148797, -0.043461, 0.057452, -0.438093, 0.602051, -0.328912, 0.000000, 0.000000, 0.000000], [0.492922, -0.115472, 0.093368, 0.541536, -0.154012, -0.341585, 0.548922, 0.000000, 0.000000, 0.000000], [-0.010048, 0.850840, 0.116695, 0.437988, -0.034546, 0.017545, -0.262712, 0.000000, 0.000000, 0.000000]]
fourier: [[31.595863, 32.365824, 32.696131, 32.880661, 177.287157], [37.170776, 38.734450, 41.631755, 43.996256, 151.036821], [59.713384, 61.610448, 65.492238, 65.750019, 316.035405], [37.821676, 38.189161, 41.590972, 44.280574, 59.521295], [70.658277, 72.022311, 74.260195, 75.813004, 387.359665], [63.107772, 65.907116, 66.543037, 66.707351, 365.728258], [33.369565, 36.808160, 38.204008, 39.095412, 318.444742]]
### 2
mean: [-2.448844, -2.850174, 5.399360, 3.377265, -0.503003, 4.017279, 4.322280]
std: [3.036639, 2.065440, 5.386737, 3.580230, 0.811726, 3.916926, 4.256000]
pca: [[-0.316370, -0.550441, 0.286434, 0.609604, 0.120639, 0.118994, 0.338451, 0.000000, 0.000000, 0.000000], [-0.206494, 0.623216, -0.240063, 0.273432, 0.197171, -0.286642, 0.561718, 0.000000, 0.000000, 0.000000], [0.573757, -0.141426, 0.364395, -0.046633, -0.294181, -0.536905, 0.375543, 0.000000, 0.000000, 0.000000], [0.381417, 0.001004, 0.207433, -0.250013, 0.763566, 0.324092, 0.246812, 0.000000, 0.000000, 0.000000], [0.053736, 0.537123, 0.677037, 0.285387, -0.181164, 0.305731, -0.206143, 0.000000, 0.000000, 0.000000], [0.417282, 0.008529, -0.399958, 0.191821, -0.398524, 0.602698, 0.327070, 0.000000, 0.000000, 0.000000], [0.453412, 0.006366, -0.257230, 0.608848, 0.292151, -0.231640, -0.467445, 0.000000, 0.000000, 0.000000]]
fourier: [[46.273738, 48.115438, 49.463467, 60.365844, 220.395983], [35.585368, 35.923541, 37.181166, 39.415387, 256.515628], [91.011676, 92.512941, 93.485614, 94.232498, 485.942384], [60.412115, 60.691407, 62.638199, 63.207928, 303.953837], [10.423565, 10.564823, 11.900122, 17.126276, 45.270303], [66.295147, 66.839074, 66.954769, 67.216637, 361.555043], [72.532479, 72.753366, 73.224049, 73.251706, 389.005208]]
### 4
mean: [4.418216, 5.300933, -3.182758, 9.674473, 4.053412, -5.183479, -0.947838]
std: [4.587610, 5.639983, 3.655786, 9.802865, 4.172124, 5.648757, 0.349561]
pca: [[0.315266, -0.302646, 0.267931, -0.343866, 0.640403, 0.345616, 0.299025, 0.000000, 0.000000, 0.000000], [0.387621, 0.299448, 0.640441, 0.198230, -0.025581, -0.518556, 0.202648, 0.000000, 0.000000, 0.000000], [-0.251245, 0.193208, 0.279368, 0.709509, 0.267123, 0.485123, -0.106765, 0.000000, 0.000000, 0.000000], [0.673848, 0.276032, -0.588982, 0.305675, 0.129108, 0.078015, 0.081506, 0.000000, 0.000000, 0.000000], [0.286744, 0.213751, 0.255926, -0.235367, -0.617230, 0.607520, 0.033749, 0.000000, 0.000000, 0.000000], [-0.388027, 0.593124, -0.154022, -0.203113, 0.106351, 0.032690, 0.648292, 0.000000, 0.000000, 0.000000], [-0.019354, -0.554733, -0.062301, 0.385964, -0.330035, 0.008350, 0.655786, 0.000000, 0.000000, 0.000000]]
fourier: [[76.770586, 76.883807, 78.584896, 81.464550, 397.639439], [94.718860, 97.221711, 97.259423, 98.303394, 477.083974], [61.000192, 61.432026, 62.169259, 64.821453, 286.448172], [164.616425, 168.246840, 168.883458, 169.217941, 870.702536], [70.348673, 71.887536, 72.016539, 72.022141, 364.807080], [93.722982, 95.318003, 96.309262, 100.845477, 466.513085], [6.045224, 6.418600, 6.776792, 7.134848, 85.305405]]
### 6
mean: [-1.998345, -8.581178, -1.027401, 11.861132, -4.612683, -8.341640, 7.017981]
std: [1.409307, 8.015114, 1.092423, 11.821723, 4.767684, 9.172737, 6.718907]
pca: [[-0.073902, 0.282694, 0.714425, 0.630517, 0.029970, -0.068394, -0.033046, 0.000000, 0.000000, 0.000000], [-0.422494, 0.768818, 0.013092, -0.431812, 0.033063, -0.111143, -0.174179, 0.000000, 0.000000, 0.000000], [-0.057108, -0.268631, 0.328688, -0.320425, 0.797270, -0.264198, 0.091803, 0.000000, 0.000000, 0.000000], [0.624028, 0.087276, 0.298050, -0.298957, 0.002303, 0.319282, -0.568169, 0.000000, 0.000000, 0.000000], [-0.251390, -0.404646, 0.286268, -0.224109, -0.491994, -0.516998, -0.362692, 0.000000, 0.000000, 0.000000], [-0.484143, -0.254998, 0.318382, -0.213013, -0.109995, 0.726805, 0.116169, 0.000000, 0.000000, 0.000000], [0.354645, 0.143044, 0.330514, -0.358246, -0.328947, -0.125282, 0.701630, 0.000000, 0.000000, 0.000000]]
fourier: [[22.462607, 22.469494, 25.070362, 25.636900, 179.851086], [130.951801, 134.807532, 140.153689, 141.826799, 772.305994], [16.972872, 17.876483, 19.117917, 19.884752, 92.466117], [197.651119, 202.815646, 204.521671, 204.552101, 1067.501884], [79.919216, 81.190251, 81.521407, 83.669351, 415.141476], [154.482568, 156.425494, 158.243843, 159.070741, 750.747589], [112.603338, 114.676736, 116.147666, 116.757945, 631.618294]]
### 8
mean: [2.954291, 0.098083, -1.283880, -2.140787, 13.789371, -9.147423, 5.664660]
std: [2.820373, 0.121977, 1.627544, 2.313959, 13.666080, 9.822737, 5.398309]
pca: [[0.155347, 0.426203, -0.221993, 0.490109, 0.279798, -0.602228, -0.252516, 0.000000, 0.000000, 0.000000], [0.000627, -0.272966, -0.201965, 0.683415, -0.235596, 0.077949, 0.596709, 0.000000, 0.000000, 0.000000], [-0.089827, -0.056168, -0.200438, 0.258010, 0.675524, 0.620001, -0.203220, 0.000000, 0.000000, 0.000000], [-0.126586, 0.705675, 0.537984, 0.121721, 0.040608, 0.239460, 0.350379, 0.000000, 0.000000, 0.000000], [0.754358, 0.290762, -0.263948, -0.012979, -0.338003, 0.382773, -0.125710, 0.000000, 0.000000, 0.000000], [-0.542215, 0.174579, -0.138311, 0.260107, -0.539791, 0.207084, -0.504461, 0.000000, 0.000000, 0.000000], [0.297859, -0.357334, 0.701090, 0.378850, -0.051048, 0.010231, -0.381873, 0.000000, 0.000000, 0.000000]]
fourier: [[46.145111, 48.165064, 49.258530, 49.549518, 265.886208], [1.804284, 1.921214, 1.924182, 1.926867, 8.827473], [27.238534, 27.857935, 28.194457, 28.399520, 115.549228], [36.288020, 38.545873, 40.790269, 41.332004, 192.670804], [229.165532, 234.767580, 236.186594, 237.292554, 1241.043482], [165.653204, 167.460389, 170.258103, 170.495904, 823.268050], [91.535811, 91.769068, 93.617040, 93.936756, 509.819310]]
### 10
mean: [-3.311398, -10.426372, -6.399032, 6.015358, 11.773416, -9.295904, 12.044546]
std: [3.921598, 10.612744, 6.449851, 5.889095, 11.589896, 9.789407, 11.615529]
pca: [[-0.163768, 0.752820, -0.310102, -0.091316, 0.472568, 0.141970, -0.241792, 0.000000, 0.000000, 0.000000], [-0.444844, -0.022357, 0.395110, -0.070808, 0.415593, -0.660938, 0.175874, 0.000000, 0.000000, 0.000000], [-0.270319, 0.215595, 0.294501, 0.725857, -0.306668, -0.030217, -0.414595, 0.000000, 0.000000, 0.000000], [0.246672, 0.470225, 0.692399, -0.371497, -0.264715, 0.134901, 0.111097, 0.000000, 0.000000, 0.000000], [0.485779, -0.262798, 0.356002, 0.163746, 0.610830, 0.160880, -0.377374, 0.000000, 0.000000, 0.000000], [-0.410331, -0.097564, 0.205173, 0.203152, 0.240061, 0.662331, 0.492374, 0.000000, 0.000000, 0.000000], [0.486849, 0.294258, -0.112885, 0.503673, 0.095393, -0.243578, 0.584406, 0.000000, 0.000000, 0.000000]]
fourier: [[65.429486, 67.871535, 68.032580, 68.390196, 298.025817], [178.884536, 182.706915, 182.861822, 185.313242, 938.373424], [109.695882, 110.120350, 111.636360, 112.069445, 575.912851], [97.685113, 99.961656, 103.969584, 104.108585, 541.382209], [196.554434, 199.188854, 199.791153, 202.738014, 1059.607414], [164.919192, 168.403475, 169.018362, 171.030930, 836.631421], [195.006875, 199.181454, 201.405004, 203.427477, 1084.009075]]
### 12
mean: [-14.464434]
std: [14.341391]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[242.226676, 245.221676, 248.951441, 252.194749, 1301.799116]]
## 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: 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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"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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[
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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.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-1.969857, -1.678187, 3.511504, -0.661348, 4.303996, 4.063647, -3.538275]
std: [1.983641, 2.421576, 3.629325, 2.524587, 4.297354, 3.816742, 2.275285]
pca: [[-0.253934, -0.025963, 0.298986, 0.235913, 0.302850, 0.698425, 0.458562, 0.000000, 0.000000, 0.000000], [-0.292252, -0.174449, 0.780002, 0.007364, -0.484030, -0.146547, -0.141198, 0.000000, 0.000000, 0.000000], [0.466274, -0.078123, 0.490520, -0.094200, 0.652964, -0.096198, -0.302301, 0.000000, 0.000000, 0.000000], [-0.282002, -0.450984, -0.193312, 0.668597, 0.175488, -0.044935, -0.447082, 0.000000, 0.000000, 0.000000], [0.556863, -0.148797, -0.043461, 0.057452, -0.438093, 0.602051, -0.328912, 0.000000, 0.000000, 0.000000], [0.492922, -0.115472, 0.093368, 0.541536, -0.154012, -0.341585, 0.548922, 0.000000, 0.000000, 0.000000], [-0.010048, 0.850840, 0.116695, 0.437988, -0.034546, 0.017545, -0.262712, 0.000000, 0.000000, 0.000000]]
fourier: [[31.595863, 32.365824, 32.696131, 32.880661, 177.287157], [37.170776, 38.734450, 41.631755, 43.996256, 151.036821], [59.713384, 61.610448, 65.492238, 65.750019, 316.035405], [37.821676, 38.189161, 41.590972, 44.280574, 59.521295], [70.658277, 72.022311, 74.260195, 75.813004, 387.359665], [63.107772, 65.907116, 66.543037, 66.707351, 365.728258], [33.369565, 36.808160, 38.204008, 39.095412, 318.444742]]
### 2
mean: [-2.448844, -2.850174, 5.399360, 3.377265, -0.503003, 4.017279, 4.322280]
std: [3.036639, 2.065440, 5.386737, 3.580230, 0.811726, 3.916926, 4.256000]
pca: [[-0.316370, -0.550441, 0.286434, 0.609604, 0.120639, 0.118994, 0.338451, 0.000000, 0.000000, 0.000000], [-0.206494, 0.623216, -0.240063, 0.273432, 0.197171, -0.286642, 0.561718, 0.000000, 0.000000, 0.000000], [0.573757, -0.141426, 0.364395, -0.046633, -0.294181, -0.536905, 0.375543, 0.000000, 0.000000, 0.000000], [0.381417, 0.001004, 0.207433, -0.250013, 0.763566, 0.324092, 0.246812, 0.000000, 0.000000, 0.000000], [0.053736, 0.537123, 0.677037, 0.285387, -0.181164, 0.305731, -0.206143, 0.000000, 0.000000, 0.000000], [0.417282, 0.008529, -0.399958, 0.191821, -0.398524, 0.602698, 0.327070, 0.000000, 0.000000, 0.000000], [0.453412, 0.006366, -0.257230, 0.608848, 0.292151, -0.231640, -0.467445, 0.000000, 0.000000, 0.000000]]
fourier: [[46.273738, 48.115438, 49.463467, 60.365844, 220.395983], [35.585368, 35.923541, 37.181166, 39.415387, 256.515628], [91.011676, 92.512941, 93.485614, 94.232498, 485.942384], [60.412115, 60.691407, 62.638199, 63.207928, 303.953837], [10.423565, 10.564823, 11.900122, 17.126276, 45.270303], [66.295147, 66.839074, 66.954769, 67.216637, 361.555043], [72.532479, 72.753366, 73.224049, 73.251706, 389.005208]]
### 4
mean: [4.418216, 5.300933, -3.182758, 9.674473, 4.053412, -5.183479, -0.947838]
std: [4.587610, 5.639983, 3.655786, 9.802865, 4.172124, 5.648757, 0.349561]
pca: [[0.315266, -0.302646, 0.267931, -0.343866, 0.640403, 0.345616, 0.299025, 0.000000, 0.000000, 0.000000], [0.387621, 0.299448, 0.640441, 0.198230, -0.025581, -0.518556, 0.202648, 0.000000, 0.000000, 0.000000], [-0.251245, 0.193208, 0.279368, 0.709509, 0.267123, 0.485123, -0.106765, 0.000000, 0.000000, 0.000000], [0.673848, 0.276032, -0.588982, 0.305675, 0.129108, 0.078015, 0.081506, 0.000000, 0.000000, 0.000000], [0.286744, 0.213751, 0.255926, -0.235367, -0.617230, 0.607520, 0.033749, 0.000000, 0.000000, 0.000000], [-0.388027, 0.593124, -0.154022, -0.203113, 0.106351, 0.032690, 0.648292, 0.000000, 0.000000, 0.000000], [-0.019354, -0.554733, -0.062301, 0.385964, -0.330035, 0.008350, 0.655786, 0.000000, 0.000000, 0.000000]]
fourier: [[76.770586, 76.883807, 78.584896, 81.464550, 397.639439], [94.718860, 97.221711, 97.259423, 98.303394, 477.083974], [61.000192, 61.432026, 62.169259, 64.821453, 286.448172], [164.616425, 168.246840, 168.883458, 169.217941, 870.702536], [70.348673, 71.887536, 72.016539, 72.022141, 364.807080], [93.722982, 95.318003, 96.309262, 100.845477, 466.513085], [6.045224, 6.418600, 6.776792, 7.134848, 85.305405]]
### 6
mean: [-1.998345, -8.581178, -1.027401, 11.861132, -4.612683, -8.341640, 7.017981]
std: [1.409307, 8.015114, 1.092423, 11.821723, 4.767684, 9.172737, 6.718907]
pca: [[-0.073902, 0.282694, 0.714425, 0.630517, 0.029970, -0.068394, -0.033046, 0.000000, 0.000000, 0.000000], [-0.422494, 0.768818, 0.013092, -0.431812, 0.033063, -0.111143, -0.174179, 0.000000, 0.000000, 0.000000], [-0.057108, -0.268631, 0.328688, -0.320425, 0.797270, -0.264198, 0.091803, 0.000000, 0.000000, 0.000000], [0.624028, 0.087276, 0.298050, -0.298957, 0.002303, 0.319282, -0.568169, 0.000000, 0.000000, 0.000000], [-0.251390, -0.404646, 0.286268, -0.224109, -0.491994, -0.516998, -0.362692, 0.000000, 0.000000, 0.000000], [-0.484143, -0.254998, 0.318382, -0.213013, -0.109995, 0.726805, 0.116169, 0.000000, 0.000000, 0.000000], [0.354645, 0.143044, 0.330514, -0.358246, -0.328947, -0.125282, 0.701630, 0.000000, 0.000000, 0.000000]]
fourier: [[22.462607, 22.469494, 25.070362, 25.636900, 179.851086], [130.951801, 134.807532, 140.153689, 141.826799, 772.305994], [16.972872, 17.876483, 19.117917, 19.884752, 92.466117], [197.651119, 202.815646, 204.521671, 204.552101, 1067.501884], [79.919216, 81.190251, 81.521407, 83.669351, 415.141476], [154.482568, 156.425494, 158.243843, 159.070741, 750.747589], [112.603338, 114.676736, 116.147666, 116.757945, 631.618294]]
### 8
mean: [2.954291, 0.098083, -1.283880, -2.140787, 13.789371, -9.147423, 5.664660]
std: [2.820373, 0.121977, 1.627544, 2.313959, 13.666080, 9.822737, 5.398309]
pca: [[0.155347, 0.426203, -0.221993, 0.490109, 0.279798, -0.602228, -0.252516, 0.000000, 0.000000, 0.000000], [0.000627, -0.272966, -0.201965, 0.683415, -0.235596, 0.077949, 0.596709, 0.000000, 0.000000, 0.000000], [-0.089827, -0.056168, -0.200438, 0.258010, 0.675524, 0.620001, -0.203220, 0.000000, 0.000000, 0.000000], [-0.126586, 0.705675, 0.537984, 0.121721, 0.040608, 0.239460, 0.350379, 0.000000, 0.000000, 0.000000], [0.754358, 0.290762, -0.263948, -0.012979, -0.338003, 0.382773, -0.125710, 0.000000, 0.000000, 0.000000], [-0.542215, 0.174579, -0.138311, 0.260107, -0.539791, 0.207084, -0.504461, 0.000000, 0.000000, 0.000000], [0.297859, -0.357334, 0.701090, 0.378850, -0.051048, 0.010231, -0.381873, 0.000000, 0.000000, 0.000000]]
fourier: [[46.145111, 48.165064, 49.258530, 49.549518, 265.886208], [1.804284, 1.921214, 1.924182, 1.926867, 8.827473], [27.238534, 27.857935, 28.194457, 28.399520, 115.549228], [36.288020, 38.545873, 40.790269, 41.332004, 192.670804], [229.165532, 234.767580, 236.186594, 237.292554, 1241.043482], [165.653204, 167.460389, 170.258103, 170.495904, 823.268050], [91.535811, 91.769068, 93.617040, 93.936756, 509.819310]]
### 10
mean: [-3.311398, -10.426372, -6.399032, 6.015358, 11.773416, -9.295904, 12.044546]
std: [3.921598, 10.612744, 6.449851, 5.889095, 11.589896, 9.789407, 11.615529]
pca: [[-0.163768, 0.752820, -0.310102, -0.091316, 0.472568, 0.141970, -0.241792, 0.000000, 0.000000, 0.000000], [-0.444844, -0.022357, 0.395110, -0.070808, 0.415593, -0.660938, 0.175874, 0.000000, 0.000000, 0.000000], [-0.270319, 0.215595, 0.294501, 0.725857, -0.306668, -0.030217, -0.414595, 0.000000, 0.000000, 0.000000], [0.246672, 0.470225, 0.692399, -0.371497, -0.264715, 0.134901, 0.111097, 0.000000, 0.000000, 0.000000], [0.485779, -0.262798, 0.356002, 0.163746, 0.610830, 0.160880, -0.377374, 0.000000, 0.000000, 0.000000], [-0.410331, -0.097564, 0.205173, 0.203152, 0.240061, 0.662331, 0.492374, 0.000000, 0.000000, 0.000000], [0.486849, 0.294258, -0.112885, 0.503673, 0.095393, -0.243578, 0.584406, 0.000000, 0.000000, 0.000000]]
fourier: [[65.429486, 67.871535, 68.032580, 68.390196, 298.025817], [178.884536, 182.706915, 182.861822, 185.313242, 938.373424], [109.695882, 110.120350, 111.636360, 112.069445, 575.912851], [97.685113, 99.961656, 103.969584, 104.108585, 541.382209], [196.554434, 199.188854, 199.791153, 202.738014, 1059.607414], [164.919192, 168.403475, 169.018362, 171.030930, 836.631421], [195.006875, 199.181454, 201.405004, 203.427477, 1084.009075]]
### 12
mean: [-14.464434]
std: [14.341391]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[242.226676, 245.221676, 248.951441, 252.194749, 1301.799116]]
## 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": 0.6782593131065369, "train_acc": 0.535, "val_loss": 0.6947424411773682, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6420977115631104, "train_acc": 0.565, "val_loss": 0.5165356993675232, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5697162747383118, "train_acc": 0.73, "val_loss": 0.6004678010940552, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6574764847755432, "train_acc": 0.815, "val_loss": 0.2897668182849884, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34985165297985077, "train_acc": 0.875, "val_loss": 0.37970420718193054, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.39165768027305603, "train_acc": 0.835, "val_loss": 0.37895306944847107, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36167873442173004, "train_acc": 0.85, "val_loss": 0.27306607365608215, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.309489905834198, "train_acc": 0.875, "val_loss": 0.21465586125850677, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.27860845625400543, "train_acc": 0.89, "val_loss": 0.17076843976974487, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2948203906416893, "train_acc": 0.895, "val_loss": 0.1345461905002594, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2647950351238251, "train_acc": 0.895, "val_loss": 0.12348724156618118, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22678378224372864, "train_acc": 0.91, "val_loss": 0.17797744274139404, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6947424411773682, "final_val_loss": 0.5165356993675232, "initial_val_acc": 0.48, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.6004678010940552, "final_val_loss": 0.17797744274139404, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
9,982
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6879, "learning_rate": 0.047080887890969855, "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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[
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0.909987,
0.137038,
-0.245106,
0.607366,
0.099127
],
[
0.41533,
-0.270057,
-0.260033,
0.582561,
-0.458945,
0.611659
],
[
-0.529555,
0.295548,
0.546125,
-0.744962,
0.532666,
0.145895
]
],
"network.6.bias": [
0.344422,
0.191376,
-0.059388,
0.148292,
0.079757,
0.377335
],
"network.8.weight": [
[
0.525852,
0.693425,
-0.524059,
0.587624,
-0.475695,
0.578331
]
],
"network.8.bias": [
-0.048958
]
}
## Activation Signature
### 0
mean: [0.023378, 1.513392, 0.867944, -1.477217, 0.574709, -0.163696]
std: [1.089104, 1.583945, 1.664251, 1.903401, 1.706946, 1.523849]
pca: [[0.094330, 0.504718, -0.134029, 0.712485, 0.435508, -0.145247, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449051, 0.099535, 0.572899, -0.295066, 0.595443, -0.136442, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436949, -0.421453, 0.314548, 0.600793, -0.178332, 0.373842, 0.000000, 0.000000, 0.000000, 0.000000], [0.596778, -0.077220, 0.241876, -0.058907, 0.354779, 0.670858, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306923, 0.714426, 0.026147, -0.152106, -0.334678, 0.509475, 0.000000, 0.000000, 0.000000, 0.000000], [0.384947, 0.203377, 0.704056, 0.133205, -0.431394, -0.333038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.016960, 14.574695, 15.606060, 19.530739, 21.480800], [23.283492, 26.143338, 29.292299, 37.259481, 136.205301], [26.898710, 29.878094, 30.023341, 30.165404, 78.114982], [30.121330, 33.350607, 40.056820, 40.708313, 132.949561], [26.627773, 26.998043, 27.990288, 28.638191, 51.723796], [25.583763, 26.996028, 28.480097, 28.486507, 28.768614]]
### 2
mean: [2.127522, -0.656410, -1.239574, 0.135670, 1.909320, 1.302304]
std: [2.602174, 0.735232, 1.786784, 0.503037, 1.948008, 1.763048]
pca: [[0.634000, 0.324766, 0.187153, -0.533640, -0.171729, 0.378526, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070516, 0.807938, -0.525395, 0.025083, 0.127618, -0.222054, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417942, 0.446121, 0.736689, 0.022223, -0.256303, -0.131928, 0.000000, 0.000000, 0.000000, 0.000000], [0.083875, 0.192152, 0.034414, 0.705266, 0.009645, 0.676288, 0.000000, 0.000000, 0.000000, 0.000000], [0.476809, -0.021057, -0.028534, 0.409479, -0.618802, -0.469900, 0.000000, 0.000000, 0.000000, 0.000000], [0.428968, 0.073308, 0.379769, 0.221431, 0.711001, -0.334415, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.834926, 44.792290, 51.339214, 55.112315, 191.477029], [10.390881, 11.068226, 11.614386, 15.286713, 59.076889], [27.568577, 27.703364, 32.916608, 37.369337, 111.561630], [8.118659, 8.298019, 9.106140, 9.562945, 12.210329], [32.504635, 32.668185, 36.287034, 38.441543, 171.838823], [29.566928, 30.406213, 33.320843, 33.749799, 117.207396]]
### 4
mean: [3.512776, -1.064451, -2.561258, 1.530450, -2.672827, 3.849839]
std: [4.412148, 2.105018, 3.336821, 2.547976, 3.842542, 4.232369]
pca: [[0.512579, 0.039590, 0.580182, -0.259115, 0.518638, -0.250917, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244254, 0.293998, -0.194897, -0.506386, 0.466764, 0.584486, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387122, 0.521350, 0.393982, -0.392047, -0.432579, -0.286852, 0.000000, 0.000000, 0.000000, 0.000000], [0.295913, -0.071045, 0.462627, 0.047102, -0.439665, 0.705578, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446335, 0.225851, 0.406849, 0.663199, 0.359581, 0.122963, 0.000000, 0.000000, 0.000000, 0.000000], [0.490877, 0.764288, -0.301055, 0.284043, -0.058463, 0.013088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.902539, 75.149989, 83.387411, 89.402964, 316.149818], [36.226635, 36.325223, 39.439770, 41.620832, 95.800584], [57.278943, 57.892274, 61.169159, 65.410009, 230.513207], [43.457283, 43.999186, 48.113445, 51.458471, 137.740478], [65.284559, 65.676344, 70.989320, 77.128560, 240.554412], [69.484976, 70.587606, 79.660418, 87.131781, 346.485500]]
### 6
mean: [-0.715948, -1.763022, 4.838212, -0.609928, 4.723351, -2.019226]
std: [2.129926, 3.148641, 6.270138, 1.745346, 5.953038, 3.663128]
pca: [[-0.204246, 0.664485, -0.045616, 0.715084, -0.045815, 0.034912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306636, 0.157080, 0.353642, -0.203885, 0.579741, 0.615279, 0.000000, 0.000000, 0.000000, 0.000000], [0.610864, 0.156641, 0.449530, 0.107736, 0.474026, -0.404875, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166612, 0.612058, -0.278641, -0.609705, 0.097026, -0.372599, 0.000000, 0.000000, 0.000000, 0.000000], [0.579712, 0.362604, 0.088067, -0.220419, -0.464444, 0.510298, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356760, 0.056146, 0.765103, -0.123102, -0.460411, -0.238862, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.750229, 37.351846, 40.178688, 40.955012, 64.435340], [53.604757, 53.796492, 59.710998, 62.720171, 158.672004], [105.573481, 105.928268, 118.715786, 126.878370, 435.439086], [29.559746, 31.004435, 32.015412, 33.406256, 54.893502], [100.005261, 100.717563, 112.175117, 121.250463, 425.101549], [62.423891, 62.689789, 69.303161, 73.584930, 181.730370]]
### 8
mean: [-4.162143]
std: [6.869994]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[115.199986, 119.837057, 131.505240, 131.751038, 374.592872]]
## 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:
{
"network.0.weight": [
[
-0.083796,
-0.398865,
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0.499902,
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[
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[
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0.537857
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[
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],
[
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],
[
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-0.323662,
0.340517,
-0.464319
]
],
"network.0.bias": [
-0.32334,
0.33121,
-0.202604,
-0.328914,
-0.306752,
0.234774
],
"network.2.weight": [
[
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0.674642,
-0.158153,
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],
[
0.275932,
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0.320922,
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0.00489
],
[
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],
[
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0.099128,
0.083515
],
[
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],
[
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0.527132,
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-0.355527
]
],
"network.2.bias": [
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0.737157,
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-0.024164,
-0.194246
],
"network.4.weight": [
[
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0.657754,
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0.246544,
0.576165,
0.73827
],
[
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-0.700568,
0.252141,
-0.072976,
-0.557688,
-0.31023
],
[
-0.273792,
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0.674704,
-0.581584,
-0.630092,
-0.687658
],
[
0.399766,
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-0.1759,
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0.399653,
0.377178
],
[
-0.574076,
-0.03909,
0.544767,
-0.709746,
-0.767519,
-0.378037
],
[
0.627361,
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0.688494,
0.768316
]
],
"network.4.bias": [
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0.125479,
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0.554136,
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],
"network.6.weight": [
[
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],
[
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[
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[
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0.607366,
0.099127
],
[
0.41533,
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0.582561,
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0.611659
],
[
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0.532666,
0.145895
]
],
"network.6.bias": [
0.344422,
0.191376,
-0.059388,
0.148292,
0.079757,
0.377335
],
"network.8.weight": [
[
0.525852,
0.693425,
-0.524059,
0.587624,
-0.475695,
0.578331
]
],
"network.8.bias": [
-0.048958
]
}
## Activation Signature
### 0
mean: [0.023378, 1.513392, 0.867944, -1.477217, 0.574709, -0.163696]
std: [1.089104, 1.583945, 1.664251, 1.903401, 1.706946, 1.523849]
pca: [[0.094330, 0.504718, -0.134029, 0.712485, 0.435508, -0.145247, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449051, 0.099535, 0.572899, -0.295066, 0.595443, -0.136442, 0.000000, 0.000000, 0.000000, 0.000000], [-0.436949, -0.421453, 0.314548, 0.600793, -0.178332, 0.373842, 0.000000, 0.000000, 0.000000, 0.000000], [0.596778, -0.077220, 0.241876, -0.058907, 0.354779, 0.670858, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306923, 0.714426, 0.026147, -0.152106, -0.334678, 0.509475, 0.000000, 0.000000, 0.000000, 0.000000], [0.384947, 0.203377, 0.704056, 0.133205, -0.431394, -0.333038, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[14.016960, 14.574695, 15.606060, 19.530739, 21.480800], [23.283492, 26.143338, 29.292299, 37.259481, 136.205301], [26.898710, 29.878094, 30.023341, 30.165404, 78.114982], [30.121330, 33.350607, 40.056820, 40.708313, 132.949561], [26.627773, 26.998043, 27.990288, 28.638191, 51.723796], [25.583763, 26.996028, 28.480097, 28.486507, 28.768614]]
### 2
mean: [2.127522, -0.656410, -1.239574, 0.135670, 1.909320, 1.302304]
std: [2.602174, 0.735232, 1.786784, 0.503037, 1.948008, 1.763048]
pca: [[0.634000, 0.324766, 0.187153, -0.533640, -0.171729, 0.378526, 0.000000, 0.000000, 0.000000, 0.000000], [-0.070516, 0.807938, -0.525395, 0.025083, 0.127618, -0.222054, 0.000000, 0.000000, 0.000000, 0.000000], [-0.417942, 0.446121, 0.736689, 0.022223, -0.256303, -0.131928, 0.000000, 0.000000, 0.000000, 0.000000], [0.083875, 0.192152, 0.034414, 0.705266, 0.009645, 0.676288, 0.000000, 0.000000, 0.000000, 0.000000], [0.476809, -0.021057, -0.028534, 0.409479, -0.618802, -0.469900, 0.000000, 0.000000, 0.000000, 0.000000], [0.428968, 0.073308, 0.379769, 0.221431, 0.711001, -0.334415, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[42.834926, 44.792290, 51.339214, 55.112315, 191.477029], [10.390881, 11.068226, 11.614386, 15.286713, 59.076889], [27.568577, 27.703364, 32.916608, 37.369337, 111.561630], [8.118659, 8.298019, 9.106140, 9.562945, 12.210329], [32.504635, 32.668185, 36.287034, 38.441543, 171.838823], [29.566928, 30.406213, 33.320843, 33.749799, 117.207396]]
### 4
mean: [3.512776, -1.064451, -2.561258, 1.530450, -2.672827, 3.849839]
std: [4.412148, 2.105018, 3.336821, 2.547976, 3.842542, 4.232369]
pca: [[0.512579, 0.039590, 0.580182, -0.259115, 0.518638, -0.250917, 0.000000, 0.000000, 0.000000, 0.000000], [-0.244254, 0.293998, -0.194897, -0.506386, 0.466764, 0.584486, 0.000000, 0.000000, 0.000000, 0.000000], [-0.387122, 0.521350, 0.393982, -0.392047, -0.432579, -0.286852, 0.000000, 0.000000, 0.000000, 0.000000], [0.295913, -0.071045, 0.462627, 0.047102, -0.439665, 0.705578, 0.000000, 0.000000, 0.000000, 0.000000], [-0.446335, 0.225851, 0.406849, 0.663199, 0.359581, 0.122963, 0.000000, 0.000000, 0.000000, 0.000000], [0.490877, 0.764288, -0.301055, 0.284043, -0.058463, 0.013088, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[74.902539, 75.149989, 83.387411, 89.402964, 316.149818], [36.226635, 36.325223, 39.439770, 41.620832, 95.800584], [57.278943, 57.892274, 61.169159, 65.410009, 230.513207], [43.457283, 43.999186, 48.113445, 51.458471, 137.740478], [65.284559, 65.676344, 70.989320, 77.128560, 240.554412], [69.484976, 70.587606, 79.660418, 87.131781, 346.485500]]
### 6
mean: [-0.715948, -1.763022, 4.838212, -0.609928, 4.723351, -2.019226]
std: [2.129926, 3.148641, 6.270138, 1.745346, 5.953038, 3.663128]
pca: [[-0.204246, 0.664485, -0.045616, 0.715084, -0.045815, 0.034912, 0.000000, 0.000000, 0.000000, 0.000000], [-0.306636, 0.157080, 0.353642, -0.203885, 0.579741, 0.615279, 0.000000, 0.000000, 0.000000, 0.000000], [0.610864, 0.156641, 0.449530, 0.107736, 0.474026, -0.404875, 0.000000, 0.000000, 0.000000, 0.000000], [-0.166612, 0.612058, -0.278641, -0.609705, 0.097026, -0.372599, 0.000000, 0.000000, 0.000000, 0.000000], [0.579712, 0.362604, 0.088067, -0.220419, -0.464444, 0.510298, 0.000000, 0.000000, 0.000000, 0.000000], [-0.356760, 0.056146, 0.765103, -0.123102, -0.460411, -0.238862, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.750229, 37.351846, 40.178688, 40.955012, 64.435340], [53.604757, 53.796492, 59.710998, 62.720171, 158.672004], [105.573481, 105.928268, 118.715786, 126.878370, 435.439086], [29.559746, 31.004435, 32.015412, 33.406256, 54.893502], [100.005261, 100.717563, 112.175117, 121.250463, 425.101549], [62.423891, 62.689789, 69.303161, 73.584930, 181.730370]]
### 8
mean: [-4.162143]
std: [6.869994]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[115.199986, 119.837057, 131.505240, 131.751038, 374.592872]]
## 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
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 0.02337750419974327, "std": 1.0891039371490479, "pca": [0.09433016926050186, 0.5047180652618408, -0.13402938842773438, 0.71248459815979, 0.43550750613212585, -0.14524652063846588, 0.0, 0.0, 0.0, 0.0], "fourier": [14.016959933691103, 14.574695315525567, 15.606059687399613, 19.530738983878027, 21.480800329846744]}, "1": {"mean": 1.5133920907974243, "std": 1.5839446783065796, "pca": [-0.44905123114585876, 0.09953469783067703, 0.5728987455368042, -0.29506632685661316, 0.5954430103302002, -0.13644175231456757, 0.0, 0.0, 0.0, 0.0], "fourier": [23.283492468925164, 26.143338495187358, 29.292299299846146, 37.25948086059141, 136.20530098676682]}, "2": {"mean": 0.8679442405700684, "std": 1.6642508506774902, "pca": [-0.43694931268692017, -0.42145320773124695, 0.31454843282699585, 0.6007925271987915, -0.1783319115638733, 0.3738420307636261, 0.0, 0.0, 0.0, 0.0], "fourier": [26.89871001710391, 29.878094469111474, 30.02334050509518, 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"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": [[-0.083796, -0.398865, 0.121356, 0.499902, -0.119751], [0.134432, 0.262463, -0.224835, 0.005077, 0.807075], [0.411311, 0.398939, -0.064933, -0.32455, 0.537857], [-0.334242, 0.200649, -0.098364, 0.084614, -0.870781], [0.009107, -0.460787, -0.060024, 0.4932, 0.630426], [-0.216183, 0.213526, -0.323662, 0.340517, -0.464319]], "network.0.bias": [-0.32334, 0.33121, -0.202604, -0.328914, -0.306752, 0.234774], "network.2.weight": [[0.502453, 0.485691, 0.674642, -0.158153, 0.88945, -0.423569], [0.275932, 0.129547, 0.320922, -0.369766, -0.672016, 0.00489], [-0.389196, -0.71847, -0.261978, -0.115004, -0.357516, -0.557153], [0.521159, -0.206784, 0.454305, -0.096547, 0.099128, 0.083515], [0.603252, 0.164943, 0.718435, -0.451081, 0.768728, 0.248859], [0.802337, 0.195335, 0.527132, 0.115312, 0.628576, -0.355527]], "network.2.bias": [-0.0411, -0.699958, 0.737157, -0.320839, -0.024164, -0.194246], "network.4.weight": [[0.730952, 0.657754, -0.652953, 0.246544, 0.576165, 0.73827], [-0.158437, -0.700568, 0.252141, -0.072976, -0.557688, -0.31023], [-0.273792, -0.431799, 0.674704, -0.581584, -0.630092, -0.687658], [0.399766, 0.598725, -0.1759, 0.212541, 0.399653, 0.377178], [-0.574076, -0.03909, 0.544767, -0.709746, -0.767519, -0.378037], [0.627361, -0.391237, -0.224544, -0.159737, 0.688494, 0.768316]], "network.4.bias": [-0.038484, 0.666074, 0.125479, -0.538986, 0.554136, 0.238692], "network.6.weight": [[-0.393143, 0.354816, 0.783478, -0.306136, 0.839808, 0.15207], [-0.273903, 0.542119, 0.136971, -0.72363, 0.660351, 0.00278], [0.6359, -0.515179, -0.519772, 0.286707, -0.352739, 0.614318], [-0.283825, 0.909987, 0.137038, -0.245106, 0.607366, 0.099127], [0.41533, -0.270057, -0.260033, 0.582561, -0.458945, 0.611659], [-0.529555, 0.295548, 0.546125, -0.744962, 0.532666, 0.145895]], "network.6.bias": [0.344422, 0.191376, -0.059388, 0.148292, 0.079757, 0.377335], "network.8.weight": [[0.525852, 0.693425, -0.524059, 0.587624, -0.475695, 0.578331]], "network.8.bias": [-0.048958]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6776635050773621, "train_acc": 0.585, "val_loss": 0.7155579924583435, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713466644287109, "train_acc": 0.585, "val_loss": 0.7179718017578125, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6578575372695923, "train_acc": 0.585, "val_loss": 0.6851460337638855, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6158209145069122, "train_acc": 0.585, "val_loss": 0.6054984331130981, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5127284526824951, "train_acc": 0.62, "val_loss": 0.4369872808456421, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.3170257955789566, "train_acc": 0.89, "val_loss": 0.3672395646572113, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.2872144728899002, "train_acc": 0.89, "val_loss": 0.3223732113838196, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.21792851388454437, "train_acc": 0.92, "val_loss": 0.30168017745018005, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.20761285722255707, "train_acc": 0.93, "val_loss": 0.23645681142807007, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.1462986171245575, "train_acc": 0.945, "val_loss": 0.23684602975845337, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.12637528777122498, "train_acc": 0.96, "val_loss": 0.22236081957817078, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.10443363338708878, "train_acc": 0.955, "val_loss": 0.21927185356616974, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.11018872261047363, "train_acc": 0.96, "val_loss": 0.21722902357578278, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.08998282626271248, "train_acc": 0.965, "val_loss": 0.2200957089662552, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7155579924583435, "final_val_loss": 0.6054984331130981, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4369872808456421, "final_val_loss": 0.2200957089662552, "initial_val_acc": 0.84, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 7}, "improvement": 0.44000000000000006, "first_improvement_epoch": 3}}
|
9,983
|
{"target_pattern": "alternating", "degraded_accuracy": 0.38, "improved_accuracy": 0.98, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4604, "learning_rate": 0.05552000162241362, "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: 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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## Activation Signature
### 0
mean: [-2.426633, 1.267982, -1.424322, -0.817168, -1.213962, 0.333466, 1.699621, 0.467024]
std: [1.701528, 1.469866, 1.664969, 1.339849, 1.957915, 1.353482, 1.818076, 1.174848]
pca: [[0.216004, 0.570910, -0.029270, 0.209945, 0.179679, 0.166988, 0.294514, 0.659971, 0.000000, 0.000000], [-0.371835, -0.305481, -0.177824, 0.064275, 0.623793, -0.112735, 0.573813, -0.039748, 0.000000, 0.000000], [0.514110, -0.144411, -0.209075, 0.048209, 0.399478, 0.642608, -0.141088, -0.276344, 0.000000, 0.000000], [0.415243, -0.119482, -0.080406, -0.132356, 0.434088, -0.634971, -0.385979, 0.220715, 0.000000, 0.000000], [0.591066, -0.259982, -0.087657, -0.052323, -0.395254, -0.205708, 0.607900, -0.067417, 0.000000, 0.000000], [-0.081451, -0.354273, -0.468905, 0.702285, -0.226573, -0.017823, -0.205462, 0.246804, 0.000000, 0.000000], [0.037476, -0.549987, 0.678833, 0.038756, 0.033788, 0.221553, -0.026063, 0.427653, 0.000000, 0.000000], [-0.144729, -0.223668, -0.478513, -0.659170, -0.147924, 0.227054, -0.051749, 0.435238, 0.000000, 0.000000]]
fourier: [[26.917595, 28.015366, 28.249928, 29.646564, 218.396998], [21.958902, 22.066658, 25.753434, 26.874042, 114.118362], [25.566178, 28.902481, 28.976252, 30.880474, 128.189030], [21.253843, 22.842110, 22.937370, 24.552397, 73.545107], [31.238783, 32.656352, 33.653006, 33.922026, 109.256572], [21.660356, 21.893983, 23.199993, 25.994085, 30.011969], [33.460478, 33.487256, 37.100676, 37.240278, 152.965935], [17.024844, 19.945413, 22.068857, 22.285955, 42.032189]]
### 2
mean: [-0.103439, 0.211462, -0.510645, 1.782205, -0.994992, 1.365936, -1.227781, -0.110085]
std: [0.657088, 0.964790, 1.045014, 1.296777, 1.473886, 1.136538, 0.756043, 0.876245]
pca: [[0.150069, -0.312976, -0.106676, -0.083270, -0.165173, -0.080718, -0.203608, 0.886543, 0.000000, 0.000000], [0.092846, 0.518320, 0.000418, -0.490616, 0.174812, 0.426130, -0.514120, 0.074527, 0.000000, 0.000000], [0.212036, 0.471195, -0.399398, 0.475518, -0.469415, 0.299380, 0.162877, 0.104266, 0.000000, 0.000000], [-0.558578, 0.074581, 0.418981, 0.550193, 0.158019, 0.266702, -0.243596, 0.220753, 0.000000, 0.000000], [0.566191, 0.251562, 0.743290, 0.093444, -0.076475, -0.167218, 0.115487, 0.088233, 0.000000, 0.000000], [-0.428520, 0.349679, 0.108567, -0.381905, -0.033998, -0.017726, 0.659331, 0.316655, 0.000000, 0.000000], [0.321852, -0.069201, -0.171777, 0.185973, 0.764111, 0.306189, 0.348732, 0.168219, 0.000000, 0.000000], [0.064032, -0.464172, 0.244504, -0.185373, -0.325528, 0.727400, 0.196691, -0.111944, 0.000000, 0.000000]]
fourier: [[10.528982, 11.532608, 12.663673, 12.885608, 13.471167], [14.256237, 15.052878, 19.031593, 19.295130, 20.906523], [14.109725, 15.669919, 18.484050, 19.242886, 45.958076], [18.484831, 18.573172, 21.147422, 25.023600, 160.398407], [22.914018, 25.068311, 25.930638, 26.157435, 89.549298], [20.028318, 20.670402, 20.719174, 21.563745, 122.934235], [12.292363, 12.740335, 13.579679, 14.601785, 110.500327], [14.687020, 15.017491, 16.262382, 17.040071, 17.651780]]
### 4
mean: [1.034049, -0.259967, -1.208030, 0.707048, 0.895056, 0.878528, 0.298769, -0.143950]
std: [1.197182, 0.676279, 0.980263, 0.944598, 0.739550, 0.568583, 0.775009, 0.682163]
pca: [[0.586980, 0.149696, 0.117546, 0.278553, 0.433326, -0.218621, 0.041102, 0.551707, 0.000000, 0.000000], [-0.190941, 0.455390, -0.206662, 0.108420, 0.552272, -0.228205, 0.337316, -0.480451, 0.000000, 0.000000], [-0.404291, 0.377620, 0.763239, 0.145795, 0.082572, 0.110549, -0.251354, 0.089130, 0.000000, 0.000000], [0.427301, 0.317633, 0.151387, -0.353743, -0.262100, -0.482518, -0.378592, -0.351594, 0.000000, 0.000000], [0.359252, 0.054758, 0.324386, 0.395814, -0.411349, 0.182290, 0.553441, -0.311947, 0.000000, 0.000000], [0.066664, -0.455298, 0.029150, 0.584175, 0.198700, -0.093059, -0.483317, -0.405479, 0.000000, 0.000000], [0.335147, 0.310281, -0.170751, -0.089942, 0.175413, 0.777092, -0.303121, -0.166233, 0.000000, 0.000000], [-0.164709, 0.469207, -0.450322, 0.508178, -0.438464, -0.096548, -0.215043, 0.209442, 0.000000, 0.000000]]
fourier: [[17.345872, 18.128579, 19.472987, 20.087407, 93.064428], [11.986773, 12.047319, 13.243584, 14.034724, 23.397035], [16.506208, 16.750273, 18.237536, 18.294847, 108.722667], [13.385772, 13.791763, 14.523230, 14.813665, 63.634364], [10.920198, 10.944074, 12.465070, 13.814517, 80.554999], [9.266295, 9.340161, 9.391585, 11.020466, 79.067506], [11.561789, 11.801461, 11.843424, 13.231404, 26.889179], [12.419415, 12.435513, 12.955490, 13.791060, 14.185847]]
### 6
mean: [-0.257211, 0.614822, -0.146335, 0.137950, 0.118310, 1.042855, 0.124250, 1.550932]
std: [0.194444, 1.130077, 0.209366, 0.496357, 0.592054, 1.086426, 0.627592, 1.726423]
pca: [[-0.071735, 0.067975, 0.526101, -0.286591, -0.289626, 0.110111, 0.550856, 0.481525, 0.000000, 0.000000], [0.450845, -0.007780, 0.503676, 0.572553, 0.331407, 0.204428, -0.160232, 0.194619, 0.000000, 0.000000], [-0.058710, 0.301002, -0.197297, -0.135345, -0.070216, 0.892864, -0.203913, 0.070637, 0.000000, 0.000000], [-0.175144, 0.473572, -0.348259, 0.122057, 0.585698, -0.140799, 0.318845, 0.379927, 0.000000, 0.000000], [0.232425, -0.182132, -0.462506, 0.532751, -0.436120, 0.118453, 0.452984, 0.075129, 0.000000, 0.000000], [0.434110, -0.002485, -0.261466, -0.249559, -0.200328, -0.231128, -0.434353, 0.631414, 0.000000, 0.000000], [-0.213626, 0.677591, 0.164222, 0.345738, -0.476992, -0.242714, -0.243759, -0.053671, 0.000000, 0.000000], [0.685099, 0.433749, -0.008515, -0.301986, 0.021458, -0.051895, 0.272700, -0.416791, 0.000000, 0.000000]]
fourier: [[2.949471, 3.085622, 3.159873, 3.382950, 23.148971], [16.967125, 17.041939, 17.358218, 17.520770, 55.333988], [3.115529, 3.224112, 3.238830, 3.663617, 13.170108], [7.279263, 7.726054, 7.870742, 8.035752, 12.415540], [8.338913, 8.804441, 9.468293, 9.676472, 10.647902], [15.798073, 16.354040, 16.762290, 18.058724, 93.856925], [9.548414, 9.850644, 9.910055, 10.246606, 11.182540], [26.615817, 27.106846, 28.205002, 28.824504, 139.583858]]
### 8
mean: [-1.474960]
std: [2.084708]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.898520, 32.610297, 33.678064, 34.001633, 132.746398]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [-2.426633, 1.267982, -1.424322, -0.817168, -1.213962, 0.333466, 1.699621, 0.467024]
std: [1.701528, 1.469866, 1.664969, 1.339849, 1.957915, 1.353482, 1.818076, 1.174848]
pca: [[0.216004, 0.570910, -0.029270, 0.209945, 0.179679, 0.166988, 0.294514, 0.659971, 0.000000, 0.000000], [-0.371835, -0.305481, -0.177824, 0.064275, 0.623793, -0.112735, 0.573813, -0.039748, 0.000000, 0.000000], [0.514110, -0.144411, -0.209075, 0.048209, 0.399478, 0.642608, -0.141088, -0.276344, 0.000000, 0.000000], [0.415243, -0.119482, -0.080406, -0.132356, 0.434088, -0.634971, -0.385979, 0.220715, 0.000000, 0.000000], [0.591066, -0.259982, -0.087657, -0.052323, -0.395254, -0.205708, 0.607900, -0.067417, 0.000000, 0.000000], [-0.081451, -0.354273, -0.468905, 0.702285, -0.226573, -0.017823, -0.205462, 0.246804, 0.000000, 0.000000], [0.037476, -0.549987, 0.678833, 0.038756, 0.033788, 0.221553, -0.026063, 0.427653, 0.000000, 0.000000], [-0.144729, -0.223668, -0.478513, -0.659170, -0.147924, 0.227054, -0.051749, 0.435238, 0.000000, 0.000000]]
fourier: [[26.917595, 28.015366, 28.249928, 29.646564, 218.396998], [21.958902, 22.066658, 25.753434, 26.874042, 114.118362], [25.566178, 28.902481, 28.976252, 30.880474, 128.189030], [21.253843, 22.842110, 22.937370, 24.552397, 73.545107], [31.238783, 32.656352, 33.653006, 33.922026, 109.256572], [21.660356, 21.893983, 23.199993, 25.994085, 30.011969], [33.460478, 33.487256, 37.100676, 37.240278, 152.965935], [17.024844, 19.945413, 22.068857, 22.285955, 42.032189]]
### 2
mean: [-0.103439, 0.211462, -0.510645, 1.782205, -0.994992, 1.365936, -1.227781, -0.110085]
std: [0.657088, 0.964790, 1.045014, 1.296777, 1.473886, 1.136538, 0.756043, 0.876245]
pca: [[0.150069, -0.312976, -0.106676, -0.083270, -0.165173, -0.080718, -0.203608, 0.886543, 0.000000, 0.000000], [0.092846, 0.518320, 0.000418, -0.490616, 0.174812, 0.426130, -0.514120, 0.074527, 0.000000, 0.000000], [0.212036, 0.471195, -0.399398, 0.475518, -0.469415, 0.299380, 0.162877, 0.104266, 0.000000, 0.000000], [-0.558578, 0.074581, 0.418981, 0.550193, 0.158019, 0.266702, -0.243596, 0.220753, 0.000000, 0.000000], [0.566191, 0.251562, 0.743290, 0.093444, -0.076475, -0.167218, 0.115487, 0.088233, 0.000000, 0.000000], [-0.428520, 0.349679, 0.108567, -0.381905, -0.033998, -0.017726, 0.659331, 0.316655, 0.000000, 0.000000], [0.321852, -0.069201, -0.171777, 0.185973, 0.764111, 0.306189, 0.348732, 0.168219, 0.000000, 0.000000], [0.064032, -0.464172, 0.244504, -0.185373, -0.325528, 0.727400, 0.196691, -0.111944, 0.000000, 0.000000]]
fourier: [[10.528982, 11.532608, 12.663673, 12.885608, 13.471167], [14.256237, 15.052878, 19.031593, 19.295130, 20.906523], [14.109725, 15.669919, 18.484050, 19.242886, 45.958076], [18.484831, 18.573172, 21.147422, 25.023600, 160.398407], [22.914018, 25.068311, 25.930638, 26.157435, 89.549298], [20.028318, 20.670402, 20.719174, 21.563745, 122.934235], [12.292363, 12.740335, 13.579679, 14.601785, 110.500327], [14.687020, 15.017491, 16.262382, 17.040071, 17.651780]]
### 4
mean: [1.034049, -0.259967, -1.208030, 0.707048, 0.895056, 0.878528, 0.298769, -0.143950]
std: [1.197182, 0.676279, 0.980263, 0.944598, 0.739550, 0.568583, 0.775009, 0.682163]
pca: [[0.586980, 0.149696, 0.117546, 0.278553, 0.433326, -0.218621, 0.041102, 0.551707, 0.000000, 0.000000], [-0.190941, 0.455390, -0.206662, 0.108420, 0.552272, -0.228205, 0.337316, -0.480451, 0.000000, 0.000000], [-0.404291, 0.377620, 0.763239, 0.145795, 0.082572, 0.110549, -0.251354, 0.089130, 0.000000, 0.000000], [0.427301, 0.317633, 0.151387, -0.353743, -0.262100, -0.482518, -0.378592, -0.351594, 0.000000, 0.000000], [0.359252, 0.054758, 0.324386, 0.395814, -0.411349, 0.182290, 0.553441, -0.311947, 0.000000, 0.000000], [0.066664, -0.455298, 0.029150, 0.584175, 0.198700, -0.093059, -0.483317, -0.405479, 0.000000, 0.000000], [0.335147, 0.310281, -0.170751, -0.089942, 0.175413, 0.777092, -0.303121, -0.166233, 0.000000, 0.000000], [-0.164709, 0.469207, -0.450322, 0.508178, -0.438464, -0.096548, -0.215043, 0.209442, 0.000000, 0.000000]]
fourier: [[17.345872, 18.128579, 19.472987, 20.087407, 93.064428], [11.986773, 12.047319, 13.243584, 14.034724, 23.397035], [16.506208, 16.750273, 18.237536, 18.294847, 108.722667], [13.385772, 13.791763, 14.523230, 14.813665, 63.634364], [10.920198, 10.944074, 12.465070, 13.814517, 80.554999], [9.266295, 9.340161, 9.391585, 11.020466, 79.067506], [11.561789, 11.801461, 11.843424, 13.231404, 26.889179], [12.419415, 12.435513, 12.955490, 13.791060, 14.185847]]
### 6
mean: [-0.257211, 0.614822, -0.146335, 0.137950, 0.118310, 1.042855, 0.124250, 1.550932]
std: [0.194444, 1.130077, 0.209366, 0.496357, 0.592054, 1.086426, 0.627592, 1.726423]
pca: [[-0.071735, 0.067975, 0.526101, -0.286591, -0.289626, 0.110111, 0.550856, 0.481525, 0.000000, 0.000000], [0.450845, -0.007780, 0.503676, 0.572553, 0.331407, 0.204428, -0.160232, 0.194619, 0.000000, 0.000000], [-0.058710, 0.301002, -0.197297, -0.135345, -0.070216, 0.892864, -0.203913, 0.070637, 0.000000, 0.000000], [-0.175144, 0.473572, -0.348259, 0.122057, 0.585698, -0.140799, 0.318845, 0.379927, 0.000000, 0.000000], [0.232425, -0.182132, -0.462506, 0.532751, -0.436120, 0.118453, 0.452984, 0.075129, 0.000000, 0.000000], [0.434110, -0.002485, -0.261466, -0.249559, -0.200328, -0.231128, -0.434353, 0.631414, 0.000000, 0.000000], [-0.213626, 0.677591, 0.164222, 0.345738, -0.476992, -0.242714, -0.243759, -0.053671, 0.000000, 0.000000], [0.685099, 0.433749, -0.008515, -0.301986, 0.021458, -0.051895, 0.272700, -0.416791, 0.000000, 0.000000]]
fourier: [[2.949471, 3.085622, 3.159873, 3.382950, 23.148971], [16.967125, 17.041939, 17.358218, 17.520770, 55.333988], [3.115529, 3.224112, 3.238830, 3.663617, 13.170108], [7.279263, 7.726054, 7.870742, 8.035752, 12.415540], [8.338913, 8.804441, 9.468293, 9.676472, 10.647902], [15.798073, 16.354040, 16.762290, 18.058724, 93.856925], [9.548414, 9.850644, 9.910055, 10.246606, 11.182540], [26.615817, 27.106846, 28.205002, 28.824504, 139.583858]]
### 8
mean: [-1.474960]
std: [2.084708]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.898520, 32.610297, 33.678064, 34.001633, 132.746398]]
## 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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"fourier": [26.61581710072496, 27.106845594117992, 28.205001502539393, 28.82450363550802, 139.58385816961527]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -1.4749599695205688, "std": 2.084707736968994, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [31.89852013396095, 32.6102969146395, 33.67806396635852, 34.00163322129241, 132.7463979423046]}}, "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": "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.281085, -0.057774, -0.636819, -0.208923, -0.483527], [-0.442923, 0.157544, 0.22933, 0.368904, 0.402732], [0.169845, -0.54325, 0.084566, -0.502993, 0.163934], [0.22461, -0.508471, 0.087213, -0.33292, 0.10071], [0.243324, -0.503065, 0.314796, -0.636083, 0.152791], [-0.586428, 0.242864, 0.263208, -0.235286, 0.512724], [0.335652, -0.038943, 0.428179, 0.03507, 0.586876], [-0.432309, -0.162455, 0.474836, 0.200388, -0.020736]], "network.0.bias": [-0.296533, -0.234749, 0.054043, 0.237406, -0.082041, -0.056923, -0.340552, -0.094988], "network.2.weight": [[-0.116238, 0.125632, -0.179293, 0.139193, -0.022491, -0.065589, -0.35828, -0.107473], [-0.474155, -0.183647, -0.032891, 0.550472, 0.248733, -0.25085, 0.37185, -0.242104], [0.084297, -0.565017, 0.247175, 0.34508, 0.45522, 0.09857, 0.123815, -0.045168], [0.052288, 0.097619, -0.246568, -0.488427, -0.371764, 0.442495, 0.478668, 0.511632], [0.119636, -0.592536, -0.347403, -0.417061, -0.156848, -0.651501, 0.364144, -0.707554], [-0.144271, 0.200085, 0.048332, -0.06807, 0.154018, 0.272767, 0.435635, 0.107253], [0.331183, -0.190485, 0.078824, -0.045834, 0.169867, -0.439877, -0.186526, 0.01067], [-0.628385, 0.268266, -0.178638, -0.488802, -0.181497, -0.03808, -0.299624, -0.19466]], "network.2.bias": [0.440886, 0.012984, -0.140871, 0.395089, 0.093129, 0.10143, -0.423304, 0.250588], "network.4.weight": [[-0.505086, -0.035085, -0.559555, 0.518534, 0.439788, 0.253398, -0.229831, -0.643396], [0.01252, -0.256819, -0.273844, -0.072282, -0.263409, -0.261545, 0.112064, 0.214037], [-0.057455, -0.057867, -0.115957, -0.216045, 0.143289, -0.590439, -0.105196, -0.029796], [-0.301992, -0.287369, -0.101539, 0.640925, 0.52176, -0.159917, 0.094246, -0.430537], [-0.344978, -0.001983, -0.330176, 0.278144, 0.543987, 0.190976, -0.157557, -0.287448], [-0.064089, 0.534924, -0.121029, -0.121328, -0.137297, 0.291651, 0.017167, 0.039568], [0.155679, -0.407321, -0.265691, 0.29714, 0.305036, 0.191367, 0.219786, -0.563295], [0.446673, -0.324257, -0.258749, -0.023841, -0.160316, -0.126461, -0.330089, 0.549418]], "network.4.bias": [-0.080428, 0.315621, -0.076614, -0.057855, 0.184967, 0.578523, -0.266134, 0.055097], "network.6.weight": [[-0.179211, -0.634945, -0.247645, -0.307499, 0.096113, 0.028128, 0.199994, -0.107246], [0.210493, -0.063967, 0.328809, 0.521697, 0.61727, -0.33754, -0.015622, -0.270969], [-0.111847, 0.338941, -0.027211, -0.190824, 0.09523, 0.272561, 0.131577, -0.199613], [-0.18472, -0.016336, 0.160789, -0.357177, 0.147551, 0.487097, -0.049235, 0.279657], [-0.000154, 0.417051, 0.459406, 0.642101, 0.22253, -0.215765, -0.020419, 0.168112], [0.573679, 0.145544, -0.062059, 0.429379, 0.038926, -0.245902, 0.163903, -0.129307], [-0.424947, -0.240973, -0.263966, -0.202621, 0.221314, 0.648635, -0.155905, 0.048036], [0.639064, -0.417989, 0.157144, 0.35003, 0.59715, -0.132503, 0.42601, -0.189174]], "network.6.bias": [-0.028681, -0.173575, -0.208066, 0.128176, -0.328225, 0.231544, 0.089161, 0.137143], "network.8.weight": [[-0.037377, -0.283384, 0.035435, 0.188496, -0.285279, -0.480976, 0.205078, -0.644638]], "network.8.bias": [0.189496]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6893544793128967, "train_acc": 0.515, "val_loss": 0.7642282843589783, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6450162827968597, "train_acc": 0.605, "val_loss": 0.6706588268280029, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5667659938335419, "train_acc": 0.555, "val_loss": 0.4594394564628601, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43299703299999237, "train_acc": 0.87, "val_loss": 0.27779319882392883, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2531132772564888, "train_acc": 0.94, "val_loss": 0.20431114733219147, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.17628583312034607, "train_acc": 0.93, "val_loss": 0.198456808924675, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.23705445230007172, "train_acc": 0.895, "val_loss": 0.17413821816444397, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19851237535476685, "train_acc": 0.94, "val_loss": 0.20605678856372833, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2340296357870102, "train_acc": 0.935, "val_loss": 0.11993202567100525, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.15691707655787468, "train_acc": 0.945, "val_loss": 0.09202835708856583, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.11434713378548622, "train_acc": 0.955, "val_loss": 0.09876871109008789, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.10510316491127014, "train_acc": 0.945, "val_loss": 0.09752761572599411, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7642282843589783, "final_val_loss": 0.6706588268280029, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.4594394564628601, "final_val_loss": 0.09752761572599411, "initial_val_acc": 0.96, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 3}, "improvement": 0.6, "first_improvement_epoch": 1}}
|
9,984
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2129, "learning_rate": 0.04823614615279172, "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:
{
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[
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],
[
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0.279774,
0.000229
],
[
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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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],
"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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[
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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: [-0.838617, 3.618112, -1.899483, -2.184053, -2.375344]
std: [1.675192, 2.741049, 2.970932, 3.368484, 3.506954]
pca: [[-0.104133, 0.718598, 0.348359, 0.592607, 0.015378, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389497, -0.605116, 0.614240, 0.306925, -0.103113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.467876, 0.162910, 0.658494, -0.495285, -0.275010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.542805, -0.212549, -0.214527, 0.494994, -0.607572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569125, -0.213855, 0.147371, 0.253551, 0.737805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.875492, 25.921447, 31.940469, 39.700130, 75.475578], [44.767071, 47.059053, 51.904201, 52.677265, 325.630074], [51.311899, 51.782671, 54.393751, 57.720521, 170.953430], [51.957700, 54.984072, 55.698101, 60.014374, 196.564741], [54.844455, 60.145534, 60.714242, 62.409000, 213.780920]]
### 2
mean: [-2.333116, -1.073921, -1.182766, -1.000531, -0.822427]
std: [1.384745, 0.653029, 0.810755, 2.304511, 0.490007]
pca: [[0.414782, 0.634242, -0.266701, -0.065996, -0.591783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.028674, 0.404896, 0.834545, -0.353550, 0.117365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114045, 0.523584, -0.432011, -0.197680, 0.697956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.897340, -0.270495, 0.019296, -0.078872, 0.339145, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.094379, 0.294089, 0.213073, 0.908487, 0.183998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.436540, 21.906668, 23.906786, 28.394907, 209.980426], [10.531031, 11.820009, 12.494629, 12.611890, 96.652894], [11.574957, 12.296556, 12.337618, 14.258301, 106.448916], [41.070957, 41.117559, 43.843955, 44.361952, 90.047835], [8.148316, 8.872517, 8.991061, 9.377734, 74.018436]]
### 4
mean: [-0.036257, 0.459592, 0.324994, -0.091626, 0.404690]
std: [0.065096, 0.228957, 0.989133, 0.107827, 1.112306]
pca: [[-0.043074, 0.198097, 0.785502, -0.567074, 0.142531, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151501, 0.855707, -0.299922, -0.006116, 0.393475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654511, 0.422170, 0.054025, 0.015587, -0.624681, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071350, 0.141528, 0.538498, 0.822895, 0.087995, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.736014, -0.173969, -0.011606, 0.031465, 0.653371, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.035244, 1.074160, 1.189768, 1.246810, 3.263161], [3.641163, 3.778040, 4.184656, 4.385285, 41.363252], [15.730480, 16.321815, 18.078469, 18.945223, 29.249422], [1.714812, 1.779274, 1.970771, 2.065258, 8.246383], [17.689323, 18.354295, 20.329697, 21.304384, 36.422061]]
### 6
mean: [0.634661, 1.676093, -0.628205, 0.141667, 0.621767]
std: [1.285621, 0.486834, 0.391259, 0.800948, 1.396192]
pca: [[0.597335, -0.419638, 0.350228, -0.183636, -0.557417, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.225187, 0.846152, 0.465335, -0.111027, -0.066744, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181629, -0.322292, 0.698374, -0.237205, 0.564930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.372200, -0.054178, 0.163815, 0.875884, 0.254015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648814, 0.033523, -0.382416, -0.361265, 0.548782, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.264056, 21.299796, 23.527496, 24.459682, 57.119485], [7.656051, 7.873964, 8.611354, 8.835232, 150.848370], [6.181505, 6.400066, 7.032775, 7.271266, 56.538470], [12.632284, 12.750018, 13.238067, 14.604015, 15.161038], [22.036435, 23.049364, 25.420094, 26.388478, 55.958997]]
### 8
mean: [-0.765468, -0.753046, 1.143689, -0.990462, 1.863756]
std: [0.999458, 0.323605, 2.606522, 0.521691, 0.884361]
pca: [[-0.334076, -0.046695, -0.110502, -0.073555, 0.931983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108001, -0.451864, 0.480170, 0.742064, 0.054145, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.871250, 0.085744, 0.327271, -0.058350, 0.350800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174265, -0.473160, 0.548436, -0.663001, -0.073473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295440, 0.749937, 0.591048, 0.030903, 0.004189, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.765821, 16.509441, 18.215192, 18.871547, 68.892153], [5.098412, 5.297155, 5.826996, 5.974488, 67.774121], [41.115171, 43.058971, 47.508286, 49.226391, 102.932050], [8.225124, 8.571889, 9.440630, 9.712466, 89.141556], [13.927126, 14.712449, 16.314707, 16.885457, 167.738036]]
### 10
mean: [0.249883, -1.034519, -1.216728, 1.601479, 2.194330]
std: [1.360368, 0.082463, 0.590704, 1.391970, 1.997049]
pca: [[-0.477419, -0.426054, 0.081129, -0.119165, 0.754829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.012796, 0.293942, 0.025919, 0.902421, 0.313685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.198798, 0.688371, 0.416814, -0.381280, 0.409288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488149, -0.484620, 0.712469, 0.137311, -0.019688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.702920, -0.152859, -0.558032, -0.084889, 0.404884, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.408026, 22.489430, 22.604956, 25.013518, 25.976995], [1.070343, 1.079746, 1.114842, 1.115245, 93.106742], [9.250846, 9.254674, 10.055482, 10.257565, 109.505565], [21.282887, 23.467929, 26.394516, 27.686621, 144.133126], [31.004733, 33.573878, 37.498784, 39.185147, 197.489748]]
### 12
mean: [-3.852553]
std: [2.945433]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.802840, 45.601090, 53.639071, 62.205715, 346.729780]]
## 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": [
[
0.887898,
-0.335547,
-0.22001,
-0.058685,
0.018556
],
[
0.210609,
0.96879,
0.600675,
0.279774,
0.000229
],
[
-0.643454,
-1.181524,
-0.007077,
-0.073397,
0.430164
],
[
-0.895164,
-1.066267,
-0.402101,
0.380862,
0.280956
],
[
-1.007671,
-1.043543,
-0.351682,
0.222469,
0.558209
]
],
"network.0.bias": [
-0.769578,
-0.264317,
0.695902,
0.549599,
0.34931
],
"network.2.weight": [
[
-0.549631,
-0.465989,
0.000581,
-0.34624,
-0.37186
],
[
-0.576381,
-0.047576,
-0.146844,
0.10153,
-0.617937
],
[
-0.113247,
-0.099044,
-0.40835,
-0.616859,
-0.350875
],
[
-0.337912,
-0.548166,
0.391737,
0.843095,
0.590196
],
[
-0.345687,
-0.128539,
-0.242416,
-0.32171,
0.019857
]
],
"network.2.bias": [
-0.190395,
-0.478102,
-0.370667,
0.596436,
-0.052255
],
"network.4.weight": [
[
-0.113326,
-0.103796,
-0.430111,
-0.055927,
0.438482
],
[
0.208457,
-0.022783,
0.151867,
-0.196707,
-0.34351
],
[
0.130249,
0.088457,
0.084,
0.84981,
-0.14998
],
[
0.405419,
0.607361,
0.012033,
-0.09264,
0.250539
],
[
-0.325816,
-0.236476,
-0.24986,
0.955633,
-0.230571
]
],
"network.4.bias": [
-0.007715,
0.559982,
-0.108712,
-0.044347,
-0.083024
],
"network.6.weight": [
[
0.109345,
-0.359378,
0.617281,
-0.235373,
0.593671
],
[
-0.431103,
0.657183,
0.414661,
0.019957,
0.165635
],
[
-0.228889,
-0.274907,
-0.044445,
0.134783,
-0.355889
],
[
-0.029999,
-0.054618,
0.379325,
0.068584,
0.396343
],
[
0.42653,
0.03769,
0.434865,
0.111217,
0.907087
]
],
"network.6.bias": [
0.282307,
1.11925,
-0.314267,
-0.1687,
0.008215
],
"network.8.weight": [
[
-0.311203,
-0.086084,
-0.140147,
-0.106022,
-0.343345
],
[
-0.029901,
-0.267295,
-0.289377,
-0.129973,
-0.042317
],
[
0.875942,
0.242524,
-0.373287,
0.26116,
0.838048
],
[
-0.092139,
-0.278851,
-0.165306,
-0.167778,
-0.102987
],
[
-0.433496,
0.77626,
0.408418,
-0.382846,
-0.300758
]
],
"network.8.bias": [
-0.179562,
-0.222194,
-0.415256,
-0.352094,
1.135412
],
"network.10.weight": [
[
-0.371008,
-0.155284,
0.485889,
0.183082,
-0.16808
],
[
-0.060061,
-0.294064,
-0.073174,
-0.237235,
-0.26406
],
[
0.282973,
0.198138,
-0.311116,
-0.129685,
-0.415753
],
[
0.16819,
0.101829,
-0.300876,
0.387196,
1.046678
],
[
-0.143936,
0.067427,
-0.54928,
0.098003,
0.989141
]
],
"network.10.bias": [
0.018017,
-0.442066,
-0.059875,
-0.071051,
0.916754
],
"network.12.weight": [
[
0.624248,
0.249092,
0.079302,
-0.817735,
-1.311978
]
],
"network.12.bias": [
0.495525
]
}
## Activation Signature
### 0
mean: [-0.838617, 3.618112, -1.899483, -2.184053, -2.375344]
std: [1.675192, 2.741049, 2.970932, 3.368484, 3.506954]
pca: [[-0.104133, 0.718598, 0.348359, 0.592607, 0.015378, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.389497, -0.605116, 0.614240, 0.306925, -0.103113, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.467876, 0.162910, 0.658494, -0.495285, -0.275010, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.542805, -0.212549, -0.214527, 0.494994, -0.607572, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.569125, -0.213855, 0.147371, 0.253551, 0.737805, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[25.875492, 25.921447, 31.940469, 39.700130, 75.475578], [44.767071, 47.059053, 51.904201, 52.677265, 325.630074], [51.311899, 51.782671, 54.393751, 57.720521, 170.953430], [51.957700, 54.984072, 55.698101, 60.014374, 196.564741], [54.844455, 60.145534, 60.714242, 62.409000, 213.780920]]
### 2
mean: [-2.333116, -1.073921, -1.182766, -1.000531, -0.822427]
std: [1.384745, 0.653029, 0.810755, 2.304511, 0.490007]
pca: [[0.414782, 0.634242, -0.266701, -0.065996, -0.591783, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.028674, 0.404896, 0.834545, -0.353550, 0.117365, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.114045, 0.523584, -0.432011, -0.197680, 0.697956, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.897340, -0.270495, 0.019296, -0.078872, 0.339145, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.094379, 0.294089, 0.213073, 0.908487, 0.183998, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.436540, 21.906668, 23.906786, 28.394907, 209.980426], [10.531031, 11.820009, 12.494629, 12.611890, 96.652894], [11.574957, 12.296556, 12.337618, 14.258301, 106.448916], [41.070957, 41.117559, 43.843955, 44.361952, 90.047835], [8.148316, 8.872517, 8.991061, 9.377734, 74.018436]]
### 4
mean: [-0.036257, 0.459592, 0.324994, -0.091626, 0.404690]
std: [0.065096, 0.228957, 0.989133, 0.107827, 1.112306]
pca: [[-0.043074, 0.198097, 0.785502, -0.567074, 0.142531, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.151501, 0.855707, -0.299922, -0.006116, 0.393475, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654511, 0.422170, 0.054025, 0.015587, -0.624681, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.071350, 0.141528, 0.538498, 0.822895, 0.087995, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.736014, -0.173969, -0.011606, 0.031465, 0.653371, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[1.035244, 1.074160, 1.189768, 1.246810, 3.263161], [3.641163, 3.778040, 4.184656, 4.385285, 41.363252], [15.730480, 16.321815, 18.078469, 18.945223, 29.249422], [1.714812, 1.779274, 1.970771, 2.065258, 8.246383], [17.689323, 18.354295, 20.329697, 21.304384, 36.422061]]
### 6
mean: [0.634661, 1.676093, -0.628205, 0.141667, 0.621767]
std: [1.285621, 0.486834, 0.391259, 0.800948, 1.396192]
pca: [[0.597335, -0.419638, 0.350228, -0.183636, -0.557417, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.225187, 0.846152, 0.465335, -0.111027, -0.066744, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.181629, -0.322292, 0.698374, -0.237205, 0.564930, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.372200, -0.054178, 0.163815, 0.875884, 0.254015, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.648814, 0.033523, -0.382416, -0.361265, 0.548782, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.264056, 21.299796, 23.527496, 24.459682, 57.119485], [7.656051, 7.873964, 8.611354, 8.835232, 150.848370], [6.181505, 6.400066, 7.032775, 7.271266, 56.538470], [12.632284, 12.750018, 13.238067, 14.604015, 15.161038], [22.036435, 23.049364, 25.420094, 26.388478, 55.958997]]
### 8
mean: [-0.765468, -0.753046, 1.143689, -0.990462, 1.863756]
std: [0.999458, 0.323605, 2.606522, 0.521691, 0.884361]
pca: [[-0.334076, -0.046695, -0.110502, -0.073555, 0.931983, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.108001, -0.451864, 0.480170, 0.742064, 0.054145, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.871250, 0.085744, 0.327271, -0.058350, 0.350800, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.174265, -0.473160, 0.548436, -0.663001, -0.073473, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.295440, 0.749937, 0.591048, 0.030903, 0.004189, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[15.765821, 16.509441, 18.215192, 18.871547, 68.892153], [5.098412, 5.297155, 5.826996, 5.974488, 67.774121], [41.115171, 43.058971, 47.508286, 49.226391, 102.932050], [8.225124, 8.571889, 9.440630, 9.712466, 89.141556], [13.927126, 14.712449, 16.314707, 16.885457, 167.738036]]
### 10
mean: [0.249883, -1.034519, -1.216728, 1.601479, 2.194330]
std: [1.360368, 0.082463, 0.590704, 1.391970, 1.997049]
pca: [[-0.477419, -0.426054, 0.081129, -0.119165, 0.754829, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.012796, 0.293942, 0.025919, 0.902421, 0.313685, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.198798, 0.688371, 0.416814, -0.381280, 0.409288, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.488149, -0.484620, 0.712469, 0.137311, -0.019688, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.702920, -0.152859, -0.558032, -0.084889, 0.404884, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.408026, 22.489430, 22.604956, 25.013518, 25.976995], [1.070343, 1.079746, 1.114842, 1.115245, 93.106742], [9.250846, 9.254674, 10.055482, 10.257565, 109.505565], [21.282887, 23.467929, 26.394516, 27.686621, 144.133126], [31.004733, 33.573878, 37.498784, 39.185147, 197.489748]]
### 12
mean: [-3.852553]
std: [2.945433]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.802840, 45.601090, 53.639071, 62.205715, 346.729780]]
## 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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.887898, -0.335547, -0.22001, -0.058685, 0.018556], [0.210609, 0.96879, 0.600675, 0.279774, 0.000229], [-0.643454, -1.181524, -0.007077, -0.073397, 0.430164], [-0.895164, -1.066267, -0.402101, 0.380862, 0.280956], [-1.007671, -1.043543, -0.351682, 0.222469, 0.558209]], "network.0.bias": [-0.769578, -0.264317, 0.695902, 0.549599, 0.34931], "network.2.weight": [[-0.549631, -0.465989, 0.000581, -0.34624, -0.37186], [-0.576381, -0.047576, -0.146844, 0.10153, -0.617937], [-0.113247, -0.099044, -0.40835, -0.616859, -0.350875], [-0.337912, -0.548166, 0.391737, 0.843095, 0.590196], [-0.345687, -0.128539, -0.242416, -0.32171, 0.019857]], "network.2.bias": [-0.190395, -0.478102, -0.370667, 0.596436, -0.052255], "network.4.weight": [[-0.113326, -0.103796, -0.430111, -0.055927, 0.438482], [0.208457, -0.022783, 0.151867, -0.196707, -0.34351], [0.130249, 0.088457, 0.084, 0.84981, -0.14998], [0.405419, 0.607361, 0.012033, -0.09264, 0.250539], [-0.325816, -0.236476, -0.24986, 0.955633, -0.230571]], "network.4.bias": [-0.007715, 0.559982, -0.108712, -0.044347, -0.083024], "network.6.weight": [[0.109345, -0.359378, 0.617281, -0.235373, 0.593671], [-0.431103, 0.657183, 0.414661, 0.019957, 0.165635], [-0.228889, -0.274907, -0.044445, 0.134783, -0.355889], [-0.029999, -0.054618, 0.379325, 0.068584, 0.396343], [0.42653, 0.03769, 0.434865, 0.111217, 0.907087]], "network.6.bias": [0.282307, 1.11925, -0.314267, -0.1687, 0.008215], "network.8.weight": [[-0.311203, -0.086084, -0.140147, -0.106022, -0.343345], [-0.029901, -0.267295, -0.289377, -0.129973, -0.042317], [0.875942, 0.242524, -0.373287, 0.26116, 0.838048], [-0.092139, -0.278851, -0.165306, -0.167778, -0.102987], [-0.433496, 0.77626, 0.408418, -0.382846, -0.300758]], "network.8.bias": [-0.179562, -0.222194, -0.415256, -0.352094, 1.135412], "network.10.weight": [[-0.371008, -0.155284, 0.485889, 0.183082, -0.16808], [-0.060061, -0.294064, -0.073174, -0.237235, -0.26406], [0.282973, 0.198138, -0.311116, -0.129685, -0.415753], [0.16819, 0.101829, -0.300876, 0.387196, 1.046678], [-0.143936, 0.067427, -0.54928, 0.098003, 0.989141]], "network.10.bias": [0.018017, -0.442066, -0.059875, -0.071051, 0.916754], "network.12.weight": [[0.624248, 0.249092, 0.079302, -0.817735, -1.311978]], "network.12.bias": [0.495525]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7099637389183044, "train_acc": 0.425, "val_loss": 0.684995710849762, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6835145354270935, "train_acc": 0.525, "val_loss": 0.6949151754379272, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6697692573070526, "train_acc": 0.575, "val_loss": 0.6844077110290527, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6290095150470734, "train_acc": 0.575, "val_loss": 0.6119009256362915, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5784942805767059, "train_acc": 0.565, "val_loss": 0.5308560729026794, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.497839093208313, "train_acc": 0.895, "val_loss": 0.44265687465667725, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3747599124908447, "train_acc": 0.905, "val_loss": 0.3128155469894409, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.28647106885910034, "train_acc": 0.895, "val_loss": 0.25925320386886597, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.22903700172901154, "train_acc": 0.92, "val_loss": 0.20171791315078735, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.26036687940359116, "train_acc": 0.915, "val_loss": 0.21226249635219574, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.21873104572296143, "train_acc": 0.92, "val_loss": 0.19974032044410706, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2313670590519905, "train_acc": 0.925, "val_loss": 0.19027991592884064, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.24485062062740326, "train_acc": 0.91, "val_loss": 0.15090446174144745, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.20526866614818573, "train_acc": 0.935, "val_loss": 0.15014582872390747, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.684995710849762, "final_val_loss": 0.6119009256362915, "initial_val_acc": 0.56, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5308560729026794, "final_val_loss": 0.15014582872390747, "initial_val_acc": 0.88, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.52, "first_improvement_epoch": 3}}
|
9,985
|
{"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": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5795, "learning_rate": 0.04266430065730529, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.bias": [
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]
}
## Activation Signature
### 0
mean: [-0.959003, 1.330023, -0.265946, 3.313623, -1.035664, -1.159186, 0.566977]
std: [1.874885, 1.220531, 1.153986, 2.476790, 0.812875, 1.146986, 1.598385]
pca: [[-0.231917, -0.587610, 0.721066, 0.091030, 0.062349, -0.078927, 0.250179, 0.000000, 0.000000, 0.000000], [0.249382, 0.279246, 0.471229, -0.212419, 0.048789, -0.516368, -0.568890, 0.000000, 0.000000, 0.000000], [-0.160269, 0.283350, 0.021267, 0.888291, -0.036068, -0.318651, 0.040903, 0.000000, 0.000000, 0.000000], [0.817768, -0.297968, -0.004326, 0.327611, 0.305726, 0.193957, -0.063519, 0.000000, 0.000000, 0.000000], [-0.158983, -0.145529, -0.323844, -0.126354, 0.755643, -0.489913, 0.147290, 0.000000, 0.000000, 0.000000], [-0.350616, 0.174924, 0.184945, 0.124803, 0.519818, 0.576799, -0.440206, 0.000000, 0.000000, 0.000000], [0.203432, 0.596562, 0.344175, -0.136602, 0.240325, 0.123551, 0.626571, 0.000000, 0.000000, 0.000000]]
fourier: [[27.387294, 29.827936, 30.149136, 40.319877, 86.310276], [20.954482, 21.941376, 24.159198, 26.382906, 119.702111], [17.612679, 19.255416, 19.500501, 19.977919, 23.935177], [39.257126, 39.478675, 43.202433, 44.422302, 298.226091], [12.913460, 13.646646, 13.649337, 15.079666, 93.209750], [17.889659, 18.312386, 20.110301, 22.912358, 104.326755], [25.817658, 26.169918, 32.619297, 32.681009, 51.027942]]
### 2
mean: [1.430253, -0.404158, 0.432396, 0.166488, 1.094210, -0.640132, 0.460173]
std: [1.179484, 0.741762, 0.658798, 0.997043, 1.020465, 0.482195, 1.500340]
pca: [[0.362547, 0.755719, -0.255481, -0.144005, -0.038244, -0.166424, 0.426944, 0.000000, 0.000000, 0.000000], [-0.233239, 0.283202, 0.532050, 0.066587, -0.369634, 0.617378, 0.245153, 0.000000, 0.000000, 0.000000], [0.144438, 0.276764, 0.599401, 0.007999, 0.697936, -0.084029, -0.221401, 0.000000, 0.000000, 0.000000], [-0.360267, 0.430522, -0.417759, 0.494871, 0.147147, 0.233833, -0.434866, 0.000000, 0.000000, 0.000000], [0.442033, 0.028368, 0.267894, 0.611926, -0.450105, -0.322989, -0.225090, 0.000000, 0.000000, 0.000000], [-0.181898, -0.199543, -0.013803, 0.583532, 0.326548, -0.104604, 0.684704, 0.000000, 0.000000, 0.000000], [0.659564, -0.214745, -0.214219, 0.122083, 0.209556, 0.643541, 0.002648, 0.000000, 0.000000, 0.000000]]
fourier: [[17.089328, 17.334871, 19.339444, 20.428867, 128.722818], [12.137257, 12.398841, 12.839397, 12.899207, 36.374243], [10.388579, 10.652783, 11.604967, 14.589994, 38.915629], [15.606932, 16.030395, 16.509772, 19.153437, 20.427183], [15.489262, 16.558410, 16.823422, 20.175283, 98.478901], [7.271514, 7.324519, 7.659721, 8.006900, 57.611903], [21.798232, 26.501211, 27.347633, 30.143391, 41.415566]]
### 4
mean: [1.301399, 1.626745, -1.541353, 0.090521, 1.021291, 1.054749, -0.982056]
std: [1.453767, 1.652997, 0.778883, 0.278006, 1.450223, 0.950363, 0.588086]
pca: [[0.489123, 0.506452, 0.371173, -0.336387, -0.435924, -0.188174, 0.167033, 0.000000, 0.000000, 0.000000], [0.575790, -0.332739, 0.317071, -0.015537, 0.636433, -0.018427, 0.227133, 0.000000, 0.000000, 0.000000], [-0.231703, 0.477900, 0.005468, 0.437209, 0.221199, 0.014187, 0.691096, 0.000000, 0.000000, 0.000000], [0.015675, -0.032360, 0.513854, 0.704829, -0.146111, -0.282494, -0.369765, 0.000000, 0.000000, 0.000000], [0.491774, 0.446365, -0.512911, 0.286631, 0.193631, 0.163953, -0.386404, 0.000000, 0.000000, 0.000000], [0.315651, -0.368830, -0.099870, 0.320405, -0.517251, 0.534634, 0.313551, 0.000000, 0.000000, 0.000000], [-0.183889, 0.260919, 0.473887, -0.117687, 0.172060, 0.755998, -0.241968, 0.000000, 0.000000, 0.000000]]
fourier: [[23.426650, 24.010662, 27.018629, 29.235618, 117.125922], [24.434686, 26.496997, 26.677148, 29.351963, 146.407028], [11.662456, 12.414697, 13.237694, 13.574191, 138.721831], [4.115606, 4.381692, 4.781948, 6.344432, 8.146923], [21.734267, 22.513371, 27.856584, 28.048981, 91.916217], [14.719310, 15.612269, 15.949097, 17.523330, 94.927392], [8.744326, 8.929005, 9.590833, 11.734038, 88.385086]]
### 6
mean: [-1.184062, 1.855854, 1.769945, -2.841210, -1.076184, 1.982508, -1.058165]
std: [1.364237, 1.674459, 1.552502, 1.964084, 1.909081, 2.000952, 1.849862]
pca: [[-0.290755, 0.307738, 0.079742, -0.041836, -0.226564, 0.751668, -0.443074, 0.000000, 0.000000, 0.000000], [0.358392, 0.060378, 0.695812, -0.159138, 0.563824, 0.097287, -0.176259, 0.000000, 0.000000, 0.000000], [0.331485, 0.263986, -0.468110, 0.005382, 0.405546, 0.467638, 0.467034, 0.000000, 0.000000, 0.000000], [-0.419695, -0.306225, 0.079676, 0.735275, 0.399336, 0.145366, 0.050049, 0.000000, 0.000000, 0.000000], [-0.408087, 0.269922, 0.463067, -0.136710, -0.165962, 0.040965, 0.705879, 0.000000, 0.000000, 0.000000], [0.425842, 0.501664, 0.170832, 0.640362, -0.334148, -0.126748, -0.004895, 0.000000, 0.000000, 0.000000], [-0.391297, 0.643168, -0.200990, -0.059275, 0.409434, -0.409844, -0.231740, 0.000000, 0.000000, 0.000000]]
fourier: [[20.634765, 22.559805, 23.913622, 25.627762, 106.565604], [26.011739, 26.721408, 28.824492, 29.570839, 167.026872], [22.856685, 25.160872, 26.631769, 26.782935, 159.295043], [29.156448, 31.687177, 34.268644, 34.505375, 255.708884], [29.377266, 31.801866, 32.530456, 35.143014, 96.856541], [28.767159, 32.567098, 33.054483, 34.440734, 178.425705], [27.159161, 29.878067, 34.080331, 35.489454, 95.234802]]
### 8
mean: [1.234045, -0.498808, 2.503384, 0.236508, -0.112323, -0.854002, -1.897761]
std: [1.434515, 1.407979, 2.603720, 0.123005, 1.146634, 1.199590, 1.330129]
pca: [[0.369643, 0.122950, 0.755090, -0.199413, 0.390811, -0.188375, 0.223837, 0.000000, 0.000000, 0.000000], [-0.361197, -0.262185, 0.352884, -0.379221, -0.060275, 0.723462, -0.073685, 0.000000, 0.000000, 0.000000], [0.671891, -0.088622, -0.103975, 0.227596, -0.281995, 0.490355, 0.397654, 0.000000, 0.000000, 0.000000], [0.023961, -0.132725, -0.013132, 0.588811, 0.668560, 0.303028, -0.310065, 0.000000, 0.000000, 0.000000], [-0.283940, -0.551968, -0.155829, 0.020588, 0.276233, -0.160844, 0.698446, 0.000000, 0.000000, 0.000000], [-0.309435, -0.041887, 0.510078, 0.641096, -0.458794, -0.111296, 0.091830, 0.000000, 0.000000, 0.000000], [-0.323291, 0.764362, -0.099327, 0.080628, 0.174191, 0.265679, 0.440386, 0.000000, 0.000000, 0.000000]]
fourier: [[21.483635, 25.538731, 25.916392, 27.325120, 111.064040], [20.670584, 25.404313, 25.889624, 27.291170, 44.892695], [40.212901, 43.961383, 45.863498, 47.542682, 225.304532], [1.759421, 1.813879, 1.825133, 1.887896, 21.285734], [15.208073, 18.548158, 20.751350, 23.448157, 23.462505], [18.299803, 20.650062, 21.449966, 22.343995, 76.860154], [19.611699, 19.628013, 20.723675, 22.101369, 170.798491]]
### 10
mean: [2.593369, -1.512345, -0.682859, -0.249779, -0.864496, 1.766371, -0.700727]
std: [3.038538, 1.867718, 0.956582, 1.541863, 2.117614, 2.132995, 1.362831]
pca: [[0.586870, 0.282001, -0.564611, -0.195682, 0.114884, -0.145498, 0.429667, 0.000000, 0.000000, 0.000000], [-0.359703, -0.433691, -0.029809, -0.602101, 0.274701, -0.429217, 0.243771, 0.000000, 0.000000, 0.000000], [-0.184845, 0.022497, 0.259902, 0.019556, 0.066473, 0.561083, 0.760369, 0.000000, 0.000000, 0.000000], [-0.294594, 0.649026, 0.202242, -0.204792, -0.500234, -0.365614, 0.158842, 0.000000, 0.000000, 0.000000], [-0.407635, 0.524295, -0.240985, -0.079694, 0.628371, 0.207318, -0.238103, 0.000000, 0.000000, 0.000000], [0.411978, 0.183583, 0.698677, 0.010761, 0.481237, -0.276422, 0.017532, 0.000000, 0.000000, 0.000000], [-0.263346, -0.045372, -0.160162, 0.741885, 0.173926, -0.476157, 0.309143, 0.000000, 0.000000, 0.000000]]
fourier: [[44.601212, 54.529529, 54.648685, 58.682519, 233.403215], [27.923189, 32.656233, 33.258030, 35.398668, 136.111061], [14.206583, 17.205655, 17.564666, 18.776898, 61.457339], [22.480109, 25.280168, 27.471758, 30.164319, 31.471565], [33.358864, 37.911636, 40.533435, 42.711233, 77.804631], [31.130759, 38.077409, 38.776817, 41.348140, 158.973436], [19.858718, 24.506991, 24.932984, 26.536464, 63.065464]]
### 12
mean: [-2.809663]
std: [4.112880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.849826, 74.491585, 77.832478, 82.649262, 252.869670]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.023457
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[
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-0.271939
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[
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],
[
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## Activation Signature
### 0
mean: [-0.959003, 1.330023, -0.265946, 3.313623, -1.035664, -1.159186, 0.566977]
std: [1.874885, 1.220531, 1.153986, 2.476790, 0.812875, 1.146986, 1.598385]
pca: [[-0.231917, -0.587610, 0.721066, 0.091030, 0.062349, -0.078927, 0.250179, 0.000000, 0.000000, 0.000000], [0.249382, 0.279246, 0.471229, -0.212419, 0.048789, -0.516368, -0.568890, 0.000000, 0.000000, 0.000000], [-0.160269, 0.283350, 0.021267, 0.888291, -0.036068, -0.318651, 0.040903, 0.000000, 0.000000, 0.000000], [0.817768, -0.297968, -0.004326, 0.327611, 0.305726, 0.193957, -0.063519, 0.000000, 0.000000, 0.000000], [-0.158983, -0.145529, -0.323844, -0.126354, 0.755643, -0.489913, 0.147290, 0.000000, 0.000000, 0.000000], [-0.350616, 0.174924, 0.184945, 0.124803, 0.519818, 0.576799, -0.440206, 0.000000, 0.000000, 0.000000], [0.203432, 0.596562, 0.344175, -0.136602, 0.240325, 0.123551, 0.626571, 0.000000, 0.000000, 0.000000]]
fourier: [[27.387294, 29.827936, 30.149136, 40.319877, 86.310276], [20.954482, 21.941376, 24.159198, 26.382906, 119.702111], [17.612679, 19.255416, 19.500501, 19.977919, 23.935177], [39.257126, 39.478675, 43.202433, 44.422302, 298.226091], [12.913460, 13.646646, 13.649337, 15.079666, 93.209750], [17.889659, 18.312386, 20.110301, 22.912358, 104.326755], [25.817658, 26.169918, 32.619297, 32.681009, 51.027942]]
### 2
mean: [1.430253, -0.404158, 0.432396, 0.166488, 1.094210, -0.640132, 0.460173]
std: [1.179484, 0.741762, 0.658798, 0.997043, 1.020465, 0.482195, 1.500340]
pca: [[0.362547, 0.755719, -0.255481, -0.144005, -0.038244, -0.166424, 0.426944, 0.000000, 0.000000, 0.000000], [-0.233239, 0.283202, 0.532050, 0.066587, -0.369634, 0.617378, 0.245153, 0.000000, 0.000000, 0.000000], [0.144438, 0.276764, 0.599401, 0.007999, 0.697936, -0.084029, -0.221401, 0.000000, 0.000000, 0.000000], [-0.360267, 0.430522, -0.417759, 0.494871, 0.147147, 0.233833, -0.434866, 0.000000, 0.000000, 0.000000], [0.442033, 0.028368, 0.267894, 0.611926, -0.450105, -0.322989, -0.225090, 0.000000, 0.000000, 0.000000], [-0.181898, -0.199543, -0.013803, 0.583532, 0.326548, -0.104604, 0.684704, 0.000000, 0.000000, 0.000000], [0.659564, -0.214745, -0.214219, 0.122083, 0.209556, 0.643541, 0.002648, 0.000000, 0.000000, 0.000000]]
fourier: [[17.089328, 17.334871, 19.339444, 20.428867, 128.722818], [12.137257, 12.398841, 12.839397, 12.899207, 36.374243], [10.388579, 10.652783, 11.604967, 14.589994, 38.915629], [15.606932, 16.030395, 16.509772, 19.153437, 20.427183], [15.489262, 16.558410, 16.823422, 20.175283, 98.478901], [7.271514, 7.324519, 7.659721, 8.006900, 57.611903], [21.798232, 26.501211, 27.347633, 30.143391, 41.415566]]
### 4
mean: [1.301399, 1.626745, -1.541353, 0.090521, 1.021291, 1.054749, -0.982056]
std: [1.453767, 1.652997, 0.778883, 0.278006, 1.450223, 0.950363, 0.588086]
pca: [[0.489123, 0.506452, 0.371173, -0.336387, -0.435924, -0.188174, 0.167033, 0.000000, 0.000000, 0.000000], [0.575790, -0.332739, 0.317071, -0.015537, 0.636433, -0.018427, 0.227133, 0.000000, 0.000000, 0.000000], [-0.231703, 0.477900, 0.005468, 0.437209, 0.221199, 0.014187, 0.691096, 0.000000, 0.000000, 0.000000], [0.015675, -0.032360, 0.513854, 0.704829, -0.146111, -0.282494, -0.369765, 0.000000, 0.000000, 0.000000], [0.491774, 0.446365, -0.512911, 0.286631, 0.193631, 0.163953, -0.386404, 0.000000, 0.000000, 0.000000], [0.315651, -0.368830, -0.099870, 0.320405, -0.517251, 0.534634, 0.313551, 0.000000, 0.000000, 0.000000], [-0.183889, 0.260919, 0.473887, -0.117687, 0.172060, 0.755998, -0.241968, 0.000000, 0.000000, 0.000000]]
fourier: [[23.426650, 24.010662, 27.018629, 29.235618, 117.125922], [24.434686, 26.496997, 26.677148, 29.351963, 146.407028], [11.662456, 12.414697, 13.237694, 13.574191, 138.721831], [4.115606, 4.381692, 4.781948, 6.344432, 8.146923], [21.734267, 22.513371, 27.856584, 28.048981, 91.916217], [14.719310, 15.612269, 15.949097, 17.523330, 94.927392], [8.744326, 8.929005, 9.590833, 11.734038, 88.385086]]
### 6
mean: [-1.184062, 1.855854, 1.769945, -2.841210, -1.076184, 1.982508, -1.058165]
std: [1.364237, 1.674459, 1.552502, 1.964084, 1.909081, 2.000952, 1.849862]
pca: [[-0.290755, 0.307738, 0.079742, -0.041836, -0.226564, 0.751668, -0.443074, 0.000000, 0.000000, 0.000000], [0.358392, 0.060378, 0.695812, -0.159138, 0.563824, 0.097287, -0.176259, 0.000000, 0.000000, 0.000000], [0.331485, 0.263986, -0.468110, 0.005382, 0.405546, 0.467638, 0.467034, 0.000000, 0.000000, 0.000000], [-0.419695, -0.306225, 0.079676, 0.735275, 0.399336, 0.145366, 0.050049, 0.000000, 0.000000, 0.000000], [-0.408087, 0.269922, 0.463067, -0.136710, -0.165962, 0.040965, 0.705879, 0.000000, 0.000000, 0.000000], [0.425842, 0.501664, 0.170832, 0.640362, -0.334148, -0.126748, -0.004895, 0.000000, 0.000000, 0.000000], [-0.391297, 0.643168, -0.200990, -0.059275, 0.409434, -0.409844, -0.231740, 0.000000, 0.000000, 0.000000]]
fourier: [[20.634765, 22.559805, 23.913622, 25.627762, 106.565604], [26.011739, 26.721408, 28.824492, 29.570839, 167.026872], [22.856685, 25.160872, 26.631769, 26.782935, 159.295043], [29.156448, 31.687177, 34.268644, 34.505375, 255.708884], [29.377266, 31.801866, 32.530456, 35.143014, 96.856541], [28.767159, 32.567098, 33.054483, 34.440734, 178.425705], [27.159161, 29.878067, 34.080331, 35.489454, 95.234802]]
### 8
mean: [1.234045, -0.498808, 2.503384, 0.236508, -0.112323, -0.854002, -1.897761]
std: [1.434515, 1.407979, 2.603720, 0.123005, 1.146634, 1.199590, 1.330129]
pca: [[0.369643, 0.122950, 0.755090, -0.199413, 0.390811, -0.188375, 0.223837, 0.000000, 0.000000, 0.000000], [-0.361197, -0.262185, 0.352884, -0.379221, -0.060275, 0.723462, -0.073685, 0.000000, 0.000000, 0.000000], [0.671891, -0.088622, -0.103975, 0.227596, -0.281995, 0.490355, 0.397654, 0.000000, 0.000000, 0.000000], [0.023961, -0.132725, -0.013132, 0.588811, 0.668560, 0.303028, -0.310065, 0.000000, 0.000000, 0.000000], [-0.283940, -0.551968, -0.155829, 0.020588, 0.276233, -0.160844, 0.698446, 0.000000, 0.000000, 0.000000], [-0.309435, -0.041887, 0.510078, 0.641096, -0.458794, -0.111296, 0.091830, 0.000000, 0.000000, 0.000000], [-0.323291, 0.764362, -0.099327, 0.080628, 0.174191, 0.265679, 0.440386, 0.000000, 0.000000, 0.000000]]
fourier: [[21.483635, 25.538731, 25.916392, 27.325120, 111.064040], [20.670584, 25.404313, 25.889624, 27.291170, 44.892695], [40.212901, 43.961383, 45.863498, 47.542682, 225.304532], [1.759421, 1.813879, 1.825133, 1.887896, 21.285734], [15.208073, 18.548158, 20.751350, 23.448157, 23.462505], [18.299803, 20.650062, 21.449966, 22.343995, 76.860154], [19.611699, 19.628013, 20.723675, 22.101369, 170.798491]]
### 10
mean: [2.593369, -1.512345, -0.682859, -0.249779, -0.864496, 1.766371, -0.700727]
std: [3.038538, 1.867718, 0.956582, 1.541863, 2.117614, 2.132995, 1.362831]
pca: [[0.586870, 0.282001, -0.564611, -0.195682, 0.114884, -0.145498, 0.429667, 0.000000, 0.000000, 0.000000], [-0.359703, -0.433691, -0.029809, -0.602101, 0.274701, -0.429217, 0.243771, 0.000000, 0.000000, 0.000000], [-0.184845, 0.022497, 0.259902, 0.019556, 0.066473, 0.561083, 0.760369, 0.000000, 0.000000, 0.000000], [-0.294594, 0.649026, 0.202242, -0.204792, -0.500234, -0.365614, 0.158842, 0.000000, 0.000000, 0.000000], [-0.407635, 0.524295, -0.240985, -0.079694, 0.628371, 0.207318, -0.238103, 0.000000, 0.000000, 0.000000], [0.411978, 0.183583, 0.698677, 0.010761, 0.481237, -0.276422, 0.017532, 0.000000, 0.000000, 0.000000], [-0.263346, -0.045372, -0.160162, 0.741885, 0.173926, -0.476157, 0.309143, 0.000000, 0.000000, 0.000000]]
fourier: [[44.601212, 54.529529, 54.648685, 58.682519, 233.403215], [27.923189, 32.656233, 33.258030, 35.398668, 136.111061], [14.206583, 17.205655, 17.564666, 18.776898, 61.457339], [22.480109, 25.280168, 27.471758, 30.164319, 31.471565], [33.358864, 37.911636, 40.533435, 42.711233, 77.804631], [31.130759, 38.077409, 38.776817, 41.348140, 158.973436], [19.858718, 24.506991, 24.932984, 26.536464, 63.065464]]
### 12
mean: [-2.809663]
std: [4.112880]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[63.849826, 74.491585, 77.832478, 82.649262, 252.869670]]
## 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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.03936, -0.167331, -0.425646, 0.713183, -0.456496], [0.600796, -0.102653, 0.080867, 0.134141, -0.023457], [-0.066963, 0.530828, 0.018284, -0.346944, -0.271939], [0.016979, -0.081271, 0.739237, 0.685742, 0.561376], [-0.317892, -0.147218, 0.040514, -0.083432, -0.058813], [0.071477, 0.07664, -0.222344, -0.229885, -0.457071], [0.692241, 0.019169, 0.151388, -0.212699, -0.071661]], "network.0.bias": [-0.68235, 0.341773, -0.108701, -0.266495, -0.20498, 0.133358, -0.101138], "network.2.weight": [[0.404434, -0.234149, -0.052712, 0.470137, -0.843987, 0.053758, 0.067671], [0.375261, 0.384762, 0.308475, -0.143719, 0.80942, 0.141312, 0.138776], [0.867257, -0.370961, 0.355641, 0.102446, -0.264595, -0.033036, 0.340061], [-0.475189, 0.075014, -0.333109, -0.004951, 0.462812, 0.020895, 0.547588], [0.478279, -0.152128, 0.642561, 0.250455, -0.459325, 0.280003, -0.439825], [-0.248855, -0.114275, 0.035706, -0.129998, 0.442339, 0.056641, 0.220439], [0.213282, -0.579302, 0.18619, 0.375804, -0.622521, -0.326568, -0.491402]], "network.2.bias": [-0.090041, -0.577085, -0.070774, -0.06684, 0.481937, -0.120085, 0.10959], "network.4.weight": [[0.115258, -0.58866, -0.271086, -0.271026, 0.695303, 0.000133, 0.678982], [0.66344, 0.123139, 0.237543, -0.123198, 0.311715, -0.193879, 0.747793], [-0.249925, -0.13781, 0.063517, -0.457217, -0.394912, -0.220616, -0.383519], [0.250734, -0.53966, 0.300067, -0.09989, -0.163696, 0.022835, -0.334912], [0.009787, 0.07742, 0.267006, -0.516884, 0.565708, -0.214615, 0.708412], [0.296057, -0.181444, 0.320179, 0.295711, 0.500641, 0.543676, 0.212943], [-0.055373, -0.184959, -0.266418, -0.214523, -0.31576, -0.329114, -0.273469]], "network.4.bias": [0.073025, -0.29634, -0.353187, 0.120985, -0.111325, -0.222233, -0.204475], "network.6.weight": [[-0.636666, 0.00421, -0.42286, 0.204266, -0.388845, -0.054758, -0.507416], [0.377833, 0.100143, 0.504733, 0.198893, 0.66051, 0.22654, 0.163344], [0.413387, 0.411252, 0.242747, 0.16289, 0.224929, 0.097674, 0.261654], [-0.524303, -0.34258, 0.659602, -0.337231, -0.416909, -0.330772, 0.737929], [-0.824014, -0.189122, -0.293346, 0.213312, -0.426743, -0.008999, -0.776869], [0.125743, 0.657929, -0.048477, 0.010483, 0.532013, 0.160312, 0.188583], [-0.843248, 0.080501, -0.346765, 0.316367, -0.748081, 0.077065, -0.63757]], "network.6.bias": [0.062657, 0.25041, 0.222202, -0.585542, 0.718776, -0.006964, 0.609427], "network.8.weight": [[-0.676103, 0.480943, 0.035431, -0.254466, -0.423558, 0.164085, -0.388664], [-0.166424, -0.14851, -0.197, -0.676375, 0.735661, -0.21982, 0.615276], [-0.18018, 0.369769, 0.379032, 0.255268, -0.547116, 0.516749, -0.702624], [0.414017, 0.100531, 0.214012, -0.184954, -0.051915, -0.17962, 0.15393], [0.365645, -0.15576, 0.004703, -0.540295, 0.79797, -0.1802, 0.790836], [0.639842, -0.200096, -0.038479, -0.244046, 0.43572, -0.304026, 0.119524], [0.078161, -0.245152, -0.243994, 0.550834, -0.568494, -0.36167, -0.238369]], "network.8.bias": [0.146859, 0.195617, 0.466915, 0.007687, 0.129788, 0.030966, -0.116796], "network.10.weight": [[0.512179, -0.752905, 0.745962, -0.200302, -0.249891, -0.329603, -0.061569], [-0.385641, 0.232544, -0.446013, -0.061402, 0.185679, 0.138216, -0.235319], [-0.14287, 0.330037, -0.220372, -0.066261, 0.115295, 0.071556, 0.0893], [-0.135227, 0.338746, -0.29432, -0.025545, 0.728298, 0.350799, 0.021676], [-0.521977, 0.478802, -0.279467, -0.128389, 0.800605, 0.260174, -0.282517], [0.624145, -0.132369, 0.36499, -0.062709, -0.560862, -0.156077, 0.212578], [-0.436095, 0.159945, -0.221498, 0.333019, 0.224639, 0.335361, -0.147749]], "network.10.bias": [0.37636, -0.027793, -0.058451, 0.31337, 0.082016, 0.299086, 0.21928], "network.12.weight": [[-0.77906, 0.325054, 0.281979, 0.467016, 0.743168, -0.509154, 0.259576]], "network.12.bias": [-0.330503]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6857036352157593, "train_acc": 0.57, "val_loss": 0.7086870670318604, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6826988756656647, "train_acc": 0.57, "val_loss": 0.7080968618392944, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6790818870067596, "train_acc": 0.57, "val_loss": 0.6886860728263855, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6472722589969635, "train_acc": 0.59, "val_loss": 0.5869134664535522, "val_acc": 0.8}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5403007864952087, "train_acc": 0.775, "val_loss": 0.3882375955581665, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.35776810348033905, "train_acc": 0.84, "val_loss": 0.276974081993103, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.29087480902671814, "train_acc": 0.89, "val_loss": 0.2344072163105011, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.22721800208091736, "train_acc": 0.915, "val_loss": 0.15044167637825012, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2212580293416977, "train_acc": 0.93, "val_loss": 0.09399423003196716, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.19922122359275818, "train_acc": 0.93, "val_loss": 0.09945406019687653, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.18001746386289597, "train_acc": 0.935, "val_loss": 0.13383948802947998, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.19766048341989517, "train_acc": 0.93, "val_loss": 0.1420430988073349, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 4, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7086870670318604, "final_val_loss": 0.5869134664535522, "initial_val_acc": 0.5, "final_val_acc": 0.8, "best_val_acc": 0.8}, "improved_stage": {"initial_val_loss": 0.3882375955581665, "final_val_loss": 0.1420430988073349, "initial_val_acc": 0.88, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 8}, "improvement": 0.17999999999999994, "first_improvement_epoch": 3}}
|
9,986
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.78, "improved_accuracy": 0.96, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7076, "learning_rate": 0.09716659895963731, "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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[
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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.weight": [
[
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"network.10.weight": [
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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: [3.278361, 0.339625, 0.295402, 1.342649, -2.926050, -0.157608, -2.877336]
std: [3.708354, 3.779580, 2.716166, 3.394225, 5.815042, 1.616534, 5.468639]
pca: [[-0.193619, -0.627519, 0.523482, -0.438186, -0.044146, -0.295398, 0.116115, 0.000000, 0.000000, 0.000000], [-0.197201, 0.670080, 0.364559, -0.049342, 0.138270, -0.598007, -0.006037, 0.000000, 0.000000, 0.000000], [-0.242489, -0.283946, -0.034828, 0.492613, 0.773372, -0.121881, 0.061096, 0.000000, 0.000000, 0.000000], [-0.330451, 0.237821, 0.509588, -0.007085, 0.102962, 0.707975, 0.250364, 0.000000, 0.000000, 0.000000], [0.632670, 0.016069, 0.173186, 0.159361, 0.037607, -0.096872, 0.730262, 0.000000, 0.000000, 0.000000], [-0.092473, -0.140528, 0.338748, 0.732889, -0.537195, -0.103697, -0.143155, 0.000000, 0.000000, 0.000000], [0.588899, -0.004731, 0.432928, -0.017846, 0.283256, 0.137500, -0.605219, 0.000000, 0.000000, 0.000000]]
fourier: [[57.970828, 58.599722, 60.377892, 62.032371, 295.052456], [49.983667, 51.951360, 60.750376, 65.404088, 73.718983], [42.094535, 43.237189, 43.718453, 51.530704, 60.431434], [53.561309, 59.934717, 67.258870, 76.412678, 120.838409], [103.369884, 104.377969, 106.154228, 135.741891, 263.344473], [22.997342, 24.899835, 25.223286, 25.282699, 27.653384], [93.257867, 96.278681, 100.479454, 129.473089, 258.960268]]
### 2
mean: [-4.057493, -0.875711, 3.517853, 5.398568, -0.808284, -2.677073, -3.032147]
std: [3.799552, 4.064651, 4.703041, 6.343936, 4.650893, 1.784243, 2.073509]
pca: [[-0.403494, 0.023875, 0.497374, 0.679988, 0.170137, 0.029581, 0.311507, 0.000000, 0.000000, 0.000000], [0.116288, 0.644886, -0.115672, 0.242887, 0.460900, -0.250565, -0.472242, 0.000000, 0.000000, 0.000000], [0.507842, -0.121925, 0.373592, 0.280231, -0.494812, -0.461256, -0.227013, 0.000000, 0.000000, 0.000000], [0.686914, -0.205119, 0.211322, 0.055321, 0.500084, 0.412366, 0.135013, 0.000000, 0.000000, 0.000000], [0.236370, 0.679498, 0.098441, -0.175285, -0.251672, 0.021175, 0.614988, 0.000000, 0.000000, 0.000000], [-0.148325, -0.056101, 0.569888, -0.582398, 0.353624, -0.430567, 0.021315, 0.000000, 0.000000, 0.000000], [-0.126669, 0.248492, 0.469625, -0.164681, -0.274433, 0.606385, -0.481168, 0.000000, 0.000000, 0.000000]]
fourier: [[68.366154, 68.823124, 78.183855, 81.560720, 365.174395], [59.534722, 65.284097, 67.797458, 75.531486, 78.813965], [75.752005, 77.077711, 101.865827, 108.641292, 316.606752], [106.203045, 106.380551, 132.063374, 144.350147, 485.871091], [70.702739, 72.745551, 73.942073, 74.143808, 81.578163], [26.894824, 27.413566, 34.967784, 39.894660, 240.936571], [31.564357, 32.864020, 36.494711, 39.599958, 272.893202]]
### 4
mean: [-2.431534, 1.504837, 4.595450, -2.653661, -7.361834, 4.661652, 5.118979]
std: [2.764222, 4.072815, 6.245324, 2.688965, 7.486019, 6.246634, 6.955603]
pca: [[0.194953, 0.104969, 0.071150, -0.445696, 0.353060, 0.426885, 0.663615, 0.000000, 0.000000, 0.000000], [-0.213433, 0.651424, -0.063069, -0.401526, -0.375221, -0.438476, 0.178437, 0.000000, 0.000000, 0.000000], [-0.442217, 0.197962, -0.421807, 0.528931, -0.187348, 0.388060, 0.349108, 0.000000, 0.000000, 0.000000], [0.161368, 0.343031, 0.381519, -0.057289, -0.413839, 0.633016, -0.368075, 0.000000, 0.000000, 0.000000], [0.503432, 0.595922, -0.094658, 0.424759, 0.421223, -0.130803, -0.086691, 0.000000, 0.000000, 0.000000], [-0.444899, 0.115733, 0.775833, 0.279547, 0.254204, -0.129468, 0.165002, 0.000000, 0.000000, 0.000000], [-0.493421, 0.198120, -0.237919, -0.313871, 0.534928, 0.200841, -0.485467, 0.000000, 0.000000, 0.000000]]
fourier: [[47.824908, 52.151947, 59.755245, 62.033562, 218.838056], [60.817192, 62.851197, 71.047175, 75.687784, 135.435294], [97.751224, 125.611281, 127.230055, 131.731919, 413.590474], [46.502302, 46.808669, 55.387500, 59.259548, 238.829509], [129.219948, 131.721473, 160.458988, 169.061976, 662.564976], [100.147313, 126.475933, 127.804776, 133.806600, 419.548686], [109.410278, 139.937019, 141.933941, 147.284920, 460.708138]]
### 6
mean: [-0.844244, -3.081500, 7.557468, -2.586667, -7.574768, -6.244097, 4.509509]
std: [0.316623, 3.991221, 10.237214, 3.365393, 8.962162, 7.622276, 6.410574]
pca: [[-0.014633, -0.186889, 0.262721, -0.058010, -0.353143, 0.870523, 0.099756, 0.000000, 0.000000, 0.000000], [-0.224237, 0.567493, -0.387506, 0.440939, -0.528826, 0.045675, 0.036585, 0.000000, 0.000000, 0.000000], [0.580508, 0.312106, -0.261029, -0.053303, 0.294967, 0.202253, 0.605567, 0.000000, 0.000000, 0.000000], [-0.188536, 0.540273, 0.715651, 0.220890, 0.326778, 0.037414, 0.058536, 0.000000, 0.000000, 0.000000], [-0.507975, -0.389704, -0.019747, 0.285962, 0.088813, -0.111184, 0.698339, 0.000000, 0.000000, 0.000000], [-0.432377, 0.098158, -0.447364, -0.044442, 0.597336, 0.418377, -0.263545, 0.000000, 0.000000, 0.000000], [0.363290, -0.303668, -0.000149, 0.816593, 0.192733, 0.101964, -0.247869, 0.000000, 0.000000, 0.000000]]
fourier: [[5.532355, 5.638247, 6.396166, 7.075482, 75.981933], [61.414566, 74.201043, 77.533927, 79.825416, 277.334982], [160.300257, 204.652589, 208.366703, 212.922641, 680.172142], [51.246698, 61.223944, 64.708338, 67.898413, 232.800012], [141.282552, 180.143023, 182.186667, 187.235396, 681.729072], [116.630892, 150.358380, 154.560821, 156.198753, 561.968673], [96.381288, 124.369970, 129.549777, 130.061982, 405.855815]]
### 8
mean: [5.490918, -5.606498, -9.812457, -3.293078, -3.950344, -3.488694, -9.610720]
std: [7.985554, 8.837815, 13.890739, 3.396810, 4.343120, 4.373999, 12.545149]
pca: [[-0.343097, -0.203556, 0.505490, 0.315532, 0.416528, 0.547298, -0.112863, 0.000000, 0.000000, 0.000000], [0.379715, 0.208130, 0.364954, 0.360096, 0.271137, -0.308278, 0.617323, 0.000000, 0.000000, 0.000000], [0.596819, 0.087340, 0.529631, -0.117781, -0.183688, 0.010720, -0.554925, 0.000000, 0.000000, 0.000000], [0.145895, -0.480933, -0.240220, 0.214570, 0.529211, -0.469931, -0.377852, 0.000000, 0.000000, 0.000000], [0.186596, -0.211345, -0.223990, 0.757565, -0.509414, 0.188997, -0.034879, 0.000000, 0.000000, 0.000000], [0.187852, 0.682409, -0.408399, 0.198899, 0.385496, 0.290282, -0.244557, 0.000000, 0.000000, 0.000000], [0.538996, -0.407398, -0.236882, -0.312077, 0.176276, 0.514292, 0.307303, 0.000000, 0.000000, 0.000000]]
fourier: [[124.210396, 158.258582, 162.628978, 164.437676, 494.182606], [137.438126, 175.122990, 179.984060, 181.961083, 504.584837], [215.646286, 274.913795, 282.866441, 285.655835, 883.121120], [51.939435, 66.501382, 69.098027, 69.126331, 296.377037], [67.051232, 85.616918, 88.414428, 88.971983, 355.530955], [68.897380, 87.451165, 89.099916, 90.859288, 313.982475], [194.001818, 247.599677, 255.412408, 257.292950, 864.964772]]
### 10
mean: [-4.006409, 1.673203, -4.280952, 0.358008, -0.560600, 2.654816, -0.016359]
std: [7.472148, 3.196582, 4.790771, 0.802526, 0.165035, 4.456291, 1.302384]
pca: [[0.709813, -0.069617, 0.508347, 0.371216, 0.212747, 0.035283, 0.220444, 0.000000, 0.000000, 0.000000], [-0.302691, 0.396357, -0.153407, 0.827927, 0.138827, -0.142579, -0.051773, 0.000000, 0.000000, 0.000000], [0.453511, 0.621160, -0.237776, -0.263764, 0.222231, -0.126251, -0.465890, 0.000000, 0.000000, 0.000000], [-0.075756, -0.139538, 0.056816, 0.125528, 0.214066, 0.823795, -0.480981, 0.000000, 0.000000, 0.000000], [0.015133, 0.064396, -0.448475, -0.123022, 0.584664, 0.264123, 0.606438, 0.000000, 0.000000, 0.000000], [-0.423271, 0.114058, 0.589502, -0.242333, 0.586886, -0.224245, -0.082906, 0.000000, 0.000000, 0.000000], [-0.117243, 0.644661, 0.331121, -0.132464, -0.392414, 0.404724, 0.354525, 0.000000, 0.000000, 0.000000]]
fourier: [[114.421178, 150.203337, 150.763864, 157.935950, 360.576759], [47.667650, 63.266802, 65.446573, 70.020691, 150.588293], [75.398508, 93.603985, 96.309792, 98.230304, 385.285701], [12.727005, 15.516819, 15.850054, 16.510363, 32.220714], [2.696550, 2.943351, 3.005236, 3.425626, 50.453982], [67.999026, 89.745953, 89.816407, 94.727711, 238.933424], [17.362426, 18.313790, 23.162891, 27.421745, 30.998054]]
### 12
mean: [-1.160153]
std: [3.604672]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.692608, 70.383879, 74.327758, 80.573613, 104.413764]]
## 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:
{
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[
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1.010073,
-0.470517,
0.051809,
-0.174441
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-0.191356,
0.006102,
1.956421
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[
1.358068,
-0.100802,
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0.2393
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[
0.613392,
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0.019677,
1.688069
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[
-2.006038,
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[
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-0.22803,
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0.010713
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[
-1.932228,
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-0.087393,
0.337649,
-1.74703
]
],
"network.0.bias": [
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-0.128704,
-0.257252,
0.30796,
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"network.2.weight": [
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[
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0.795601,
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],
[
0.762488,
0.793306,
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0.160744,
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0.952144,
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[
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[
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[
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],
[
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0.011412,
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-0.445364
]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
0.025896,
0.922275,
0.071618,
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0.583625,
0.028136,
0.208955
],
[
0.237053,
0.720882,
0.555326,
0.23336,
0.541107,
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0.462613
],
[
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0.19649
],
[
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0.023936,
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],
[
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0.390016,
0.088562,
0.603042,
0.733372,
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0.112684
],
[
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0.81044,
0.455684,
0.38832,
0.573268,
0.034919,
0.043317
]
],
"network.4.bias": [
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[
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[
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[
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0.15464
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[
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0.283433,
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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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0.337801,
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[
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0.071897,
-0.746098
]
],
"network.8.bias": [
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-0.387578
],
"network.10.weight": [
[
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[
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0.112299,
-0.36107
],
[
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0.328975,
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0.062122,
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],
[
0.106504,
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0.121858,
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0.101818,
0.054072
],
[
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[
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-0.060004,
0.268904
],
[
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0.01922,
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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: [3.278361, 0.339625, 0.295402, 1.342649, -2.926050, -0.157608, -2.877336]
std: [3.708354, 3.779580, 2.716166, 3.394225, 5.815042, 1.616534, 5.468639]
pca: [[-0.193619, -0.627519, 0.523482, -0.438186, -0.044146, -0.295398, 0.116115, 0.000000, 0.000000, 0.000000], [-0.197201, 0.670080, 0.364559, -0.049342, 0.138270, -0.598007, -0.006037, 0.000000, 0.000000, 0.000000], [-0.242489, -0.283946, -0.034828, 0.492613, 0.773372, -0.121881, 0.061096, 0.000000, 0.000000, 0.000000], [-0.330451, 0.237821, 0.509588, -0.007085, 0.102962, 0.707975, 0.250364, 0.000000, 0.000000, 0.000000], [0.632670, 0.016069, 0.173186, 0.159361, 0.037607, -0.096872, 0.730262, 0.000000, 0.000000, 0.000000], [-0.092473, -0.140528, 0.338748, 0.732889, -0.537195, -0.103697, -0.143155, 0.000000, 0.000000, 0.000000], [0.588899, -0.004731, 0.432928, -0.017846, 0.283256, 0.137500, -0.605219, 0.000000, 0.000000, 0.000000]]
fourier: [[57.970828, 58.599722, 60.377892, 62.032371, 295.052456], [49.983667, 51.951360, 60.750376, 65.404088, 73.718983], [42.094535, 43.237189, 43.718453, 51.530704, 60.431434], [53.561309, 59.934717, 67.258870, 76.412678, 120.838409], [103.369884, 104.377969, 106.154228, 135.741891, 263.344473], [22.997342, 24.899835, 25.223286, 25.282699, 27.653384], [93.257867, 96.278681, 100.479454, 129.473089, 258.960268]]
### 2
mean: [-4.057493, -0.875711, 3.517853, 5.398568, -0.808284, -2.677073, -3.032147]
std: [3.799552, 4.064651, 4.703041, 6.343936, 4.650893, 1.784243, 2.073509]
pca: [[-0.403494, 0.023875, 0.497374, 0.679988, 0.170137, 0.029581, 0.311507, 0.000000, 0.000000, 0.000000], [0.116288, 0.644886, -0.115672, 0.242887, 0.460900, -0.250565, -0.472242, 0.000000, 0.000000, 0.000000], [0.507842, -0.121925, 0.373592, 0.280231, -0.494812, -0.461256, -0.227013, 0.000000, 0.000000, 0.000000], [0.686914, -0.205119, 0.211322, 0.055321, 0.500084, 0.412366, 0.135013, 0.000000, 0.000000, 0.000000], [0.236370, 0.679498, 0.098441, -0.175285, -0.251672, 0.021175, 0.614988, 0.000000, 0.000000, 0.000000], [-0.148325, -0.056101, 0.569888, -0.582398, 0.353624, -0.430567, 0.021315, 0.000000, 0.000000, 0.000000], [-0.126669, 0.248492, 0.469625, -0.164681, -0.274433, 0.606385, -0.481168, 0.000000, 0.000000, 0.000000]]
fourier: [[68.366154, 68.823124, 78.183855, 81.560720, 365.174395], [59.534722, 65.284097, 67.797458, 75.531486, 78.813965], [75.752005, 77.077711, 101.865827, 108.641292, 316.606752], [106.203045, 106.380551, 132.063374, 144.350147, 485.871091], [70.702739, 72.745551, 73.942073, 74.143808, 81.578163], [26.894824, 27.413566, 34.967784, 39.894660, 240.936571], [31.564357, 32.864020, 36.494711, 39.599958, 272.893202]]
### 4
mean: [-2.431534, 1.504837, 4.595450, -2.653661, -7.361834, 4.661652, 5.118979]
std: [2.764222, 4.072815, 6.245324, 2.688965, 7.486019, 6.246634, 6.955603]
pca: [[0.194953, 0.104969, 0.071150, -0.445696, 0.353060, 0.426885, 0.663615, 0.000000, 0.000000, 0.000000], [-0.213433, 0.651424, -0.063069, -0.401526, -0.375221, -0.438476, 0.178437, 0.000000, 0.000000, 0.000000], [-0.442217, 0.197962, -0.421807, 0.528931, -0.187348, 0.388060, 0.349108, 0.000000, 0.000000, 0.000000], [0.161368, 0.343031, 0.381519, -0.057289, -0.413839, 0.633016, -0.368075, 0.000000, 0.000000, 0.000000], [0.503432, 0.595922, -0.094658, 0.424759, 0.421223, -0.130803, -0.086691, 0.000000, 0.000000, 0.000000], [-0.444899, 0.115733, 0.775833, 0.279547, 0.254204, -0.129468, 0.165002, 0.000000, 0.000000, 0.000000], [-0.493421, 0.198120, -0.237919, -0.313871, 0.534928, 0.200841, -0.485467, 0.000000, 0.000000, 0.000000]]
fourier: [[47.824908, 52.151947, 59.755245, 62.033562, 218.838056], [60.817192, 62.851197, 71.047175, 75.687784, 135.435294], [97.751224, 125.611281, 127.230055, 131.731919, 413.590474], [46.502302, 46.808669, 55.387500, 59.259548, 238.829509], [129.219948, 131.721473, 160.458988, 169.061976, 662.564976], [100.147313, 126.475933, 127.804776, 133.806600, 419.548686], [109.410278, 139.937019, 141.933941, 147.284920, 460.708138]]
### 6
mean: [-0.844244, -3.081500, 7.557468, -2.586667, -7.574768, -6.244097, 4.509509]
std: [0.316623, 3.991221, 10.237214, 3.365393, 8.962162, 7.622276, 6.410574]
pca: [[-0.014633, -0.186889, 0.262721, -0.058010, -0.353143, 0.870523, 0.099756, 0.000000, 0.000000, 0.000000], [-0.224237, 0.567493, -0.387506, 0.440939, -0.528826, 0.045675, 0.036585, 0.000000, 0.000000, 0.000000], [0.580508, 0.312106, -0.261029, -0.053303, 0.294967, 0.202253, 0.605567, 0.000000, 0.000000, 0.000000], [-0.188536, 0.540273, 0.715651, 0.220890, 0.326778, 0.037414, 0.058536, 0.000000, 0.000000, 0.000000], [-0.507975, -0.389704, -0.019747, 0.285962, 0.088813, -0.111184, 0.698339, 0.000000, 0.000000, 0.000000], [-0.432377, 0.098158, -0.447364, -0.044442, 0.597336, 0.418377, -0.263545, 0.000000, 0.000000, 0.000000], [0.363290, -0.303668, -0.000149, 0.816593, 0.192733, 0.101964, -0.247869, 0.000000, 0.000000, 0.000000]]
fourier: [[5.532355, 5.638247, 6.396166, 7.075482, 75.981933], [61.414566, 74.201043, 77.533927, 79.825416, 277.334982], [160.300257, 204.652589, 208.366703, 212.922641, 680.172142], [51.246698, 61.223944, 64.708338, 67.898413, 232.800012], [141.282552, 180.143023, 182.186667, 187.235396, 681.729072], [116.630892, 150.358380, 154.560821, 156.198753, 561.968673], [96.381288, 124.369970, 129.549777, 130.061982, 405.855815]]
### 8
mean: [5.490918, -5.606498, -9.812457, -3.293078, -3.950344, -3.488694, -9.610720]
std: [7.985554, 8.837815, 13.890739, 3.396810, 4.343120, 4.373999, 12.545149]
pca: [[-0.343097, -0.203556, 0.505490, 0.315532, 0.416528, 0.547298, -0.112863, 0.000000, 0.000000, 0.000000], [0.379715, 0.208130, 0.364954, 0.360096, 0.271137, -0.308278, 0.617323, 0.000000, 0.000000, 0.000000], [0.596819, 0.087340, 0.529631, -0.117781, -0.183688, 0.010720, -0.554925, 0.000000, 0.000000, 0.000000], [0.145895, -0.480933, -0.240220, 0.214570, 0.529211, -0.469931, -0.377852, 0.000000, 0.000000, 0.000000], [0.186596, -0.211345, -0.223990, 0.757565, -0.509414, 0.188997, -0.034879, 0.000000, 0.000000, 0.000000], [0.187852, 0.682409, -0.408399, 0.198899, 0.385496, 0.290282, -0.244557, 0.000000, 0.000000, 0.000000], [0.538996, -0.407398, -0.236882, -0.312077, 0.176276, 0.514292, 0.307303, 0.000000, 0.000000, 0.000000]]
fourier: [[124.210396, 158.258582, 162.628978, 164.437676, 494.182606], [137.438126, 175.122990, 179.984060, 181.961083, 504.584837], [215.646286, 274.913795, 282.866441, 285.655835, 883.121120], [51.939435, 66.501382, 69.098027, 69.126331, 296.377037], [67.051232, 85.616918, 88.414428, 88.971983, 355.530955], [68.897380, 87.451165, 89.099916, 90.859288, 313.982475], [194.001818, 247.599677, 255.412408, 257.292950, 864.964772]]
### 10
mean: [-4.006409, 1.673203, -4.280952, 0.358008, -0.560600, 2.654816, -0.016359]
std: [7.472148, 3.196582, 4.790771, 0.802526, 0.165035, 4.456291, 1.302384]
pca: [[0.709813, -0.069617, 0.508347, 0.371216, 0.212747, 0.035283, 0.220444, 0.000000, 0.000000, 0.000000], [-0.302691, 0.396357, -0.153407, 0.827927, 0.138827, -0.142579, -0.051773, 0.000000, 0.000000, 0.000000], [0.453511, 0.621160, -0.237776, -0.263764, 0.222231, -0.126251, -0.465890, 0.000000, 0.000000, 0.000000], [-0.075756, -0.139538, 0.056816, 0.125528, 0.214066, 0.823795, -0.480981, 0.000000, 0.000000, 0.000000], [0.015133, 0.064396, -0.448475, -0.123022, 0.584664, 0.264123, 0.606438, 0.000000, 0.000000, 0.000000], [-0.423271, 0.114058, 0.589502, -0.242333, 0.586886, -0.224245, -0.082906, 0.000000, 0.000000, 0.000000], [-0.117243, 0.644661, 0.331121, -0.132464, -0.392414, 0.404724, 0.354525, 0.000000, 0.000000, 0.000000]]
fourier: [[114.421178, 150.203337, 150.763864, 157.935950, 360.576759], [47.667650, 63.266802, 65.446573, 70.020691, 150.588293], [75.398508, 93.603985, 96.309792, 98.230304, 385.285701], [12.727005, 15.516819, 15.850054, 16.510363, 32.220714], [2.696550, 2.943351, 3.005236, 3.425626, 50.453982], [67.999026, 89.745953, 89.816407, 94.727711, 238.933424], [17.362426, 18.313790, 23.162891, 27.421745, 30.998054]]
### 12
mean: [-1.160153]
std: [3.604672]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.692608, 70.383879, 74.327758, 80.573613, 104.413764]]
## 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": [[1.418799, 1.010073, -0.470517, 0.051809, -0.174441], [-0.502566, -0.522139, -0.191356, 0.006102, 1.956421], [1.358068, -0.100802, -0.446731, -0.207147, 0.2393], [0.613392, -0.147966, -0.487317, 0.019677, 1.688069], [-2.006038, 0.434425, 0.094936, 0.34504, -2.000638], [0.760089, -0.22803, -0.562726, 0.320412, 0.010713], [-1.932228, 0.705728, -0.087393, 0.337649, -1.74703]], "network.0.bias": [0.759067, -0.109789, -0.128704, -0.257252, 0.30796, -0.212822, -0.145624], "network.2.weight": [[-0.093361, -0.436287, -0.980203, -0.593736, -0.070843, 0.337507, -0.276165], [-0.490622, 0.795601, -0.510006, 0.256212, -0.079704, 0.268786, -0.408732], [0.762488, 0.793306, -0.032346, 0.160744, -0.689216, 0.952144, -0.465129], [0.859133, 0.775218, 0.25266, 0.555241, -0.622659, 1.206316, -0.368699], [-0.489223, 0.812966, -0.287434, 0.449917, -0.388496, 0.029756, -0.616043], [-0.215248, -0.47002, 0.175399, -0.199124, -0.219896, -0.171201, -0.345846], [-0.334829, -0.203855, -0.405706, 0.011412, -0.343137, -0.12442, -0.445364]], "network.2.bias": [-0.712412, -0.16523, -0.180962, 0.050789, -0.234495, -0.521583, -0.48128], "network.4.weight": [[0.183922, -0.082917, -0.249066, -0.207292, -0.161164, 0.057689, -0.030601], [0.025896, 0.922275, 0.071618, -0.063674, 0.583625, 0.028136, 0.208955], [0.237053, 0.720882, 0.555326, 0.23336, 0.541107, -0.007943, 0.462613], [-0.05138, 0.081317, -0.342542, -0.223865, 0.115821, -0.302641, 0.19649], [-0.104371, 0.023936, -0.446018, -0.858441, -0.158692, -0.220455, -0.163067], [0.403187, 0.390016, 0.088562, 0.603042, 0.733372, -0.181983, 0.112684], [0.594178, 0.81044, 0.455684, 0.38832, 0.573268, 0.034919, 0.043317]], "network.4.bias": [-0.013171, -0.234951, -0.364798, -0.35094, -0.697732, -0.470312, -0.461747], "network.6.weight": [[-0.228082, 0.046526, 0.099103, -0.202302, 0.039488, -0.18292, 0.013541], [-0.215332, -0.317881, -0.35815, -0.001195, -0.093948, 0.174463, -0.25335], [-0.00731, 0.21836, 0.457833, 0.284358, 0.471029, 0.679588, 0.367475], [-0.209039, -0.35726, -0.182769, 0.098627, -0.008646, -0.333647, 0.15464], [0.164163, -0.130304, -0.405625, -0.010226, 0.283433, -0.505882, -0.426658], [-0.054693, -0.247928, -0.56088, 0.026648, -0.110353, -0.116103, -0.382205], [0.208814, 0.32242, 0.088039, 0.250471, 0.132006, 0.141698, 0.569627]], "network.6.bias": [-0.586902, -0.357662, -0.143782, -0.332038, -0.789434, -0.622854, -0.121863], "network.8.weight": [[0.156929, -0.318357, 0.595132, -0.355647, 0.626089, -0.052798, 0.30146], [-0.342081, 0.196149, -0.654298, -0.040804, -0.255657, -0.252132, -0.340602], [-0.225411, 0.099683, -0.9723, -0.179923, -0.661887, -0.459201, -0.62517], [-0.375213, -0.112518, -0.120273, -0.310703, 0.721909, -0.350516, -0.340846], [0.080584, -0.056119, -0.248064, 0.337801, -0.081766, -0.564493, -0.285019], [0.057969, -0.147954, -0.45934, 0.1857, -0.363783, 0.214756, 0.048722], [-0.19474, 0.193515, -0.764762, 0.009969, -0.194375, 0.071897, -0.746098]], "network.8.bias": [-0.413705, 0.926958, 0.439103, -0.823494, -0.762555, -0.214348, -0.387578], "network.10.weight": [[-0.893057, 1.006017, 1.013784, -0.207468, -0.54688, 0.142632, 0.255537], [0.352629, -0.945168, -0.811212, -0.378318, -0.317984, 0.112299, -0.36107], [-0.621197, -0.094921, -0.44763, 0.328975, -0.32641, 0.062122, -0.199844], [0.106504, 0.061258, 0.121858, -0.154849, -0.034097, 0.101818, 0.054072], [-0.023704, 0.064864, -0.3248, -0.045759, -0.207394, -0.008073, -0.060412], [0.526205, -0.957285, -0.157679, -0.124481, -0.193035, -0.060004, 0.268904], [0.09854, -1.148449, -0.635675, 0.01922, -0.106367, 0.303165, -0.292892]], "network.10.bias": [0.447333, 0.220545, -0.634449, -0.294439, -0.392082, 0.099858, 0.023582], "network.12.weight": [[0.958457, -0.352734, 0.231402, -0.049759, -0.089125, -0.456589, -0.040829]], "network.12.bias": [0.234528]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6651530861854553, "train_acc": 0.565, "val_loss": 0.7291309833526611, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6471287906169891, "train_acc": 0.56, "val_loss": 0.5624239444732666, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.8434347808361053, "train_acc": 0.75, "val_loss": 0.4833422005176544, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.45983001589775085, "train_acc": 0.85, "val_loss": 0.6731825470924377, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5486816018819809, "train_acc": 0.72, "val_loss": 0.5727241039276123, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4709065407514572, "train_acc": 0.845, "val_loss": 0.393899142742157, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3319574370980263, "train_acc": 0.885, "val_loss": 0.26942887902259827, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.28718870878219604, "train_acc": 0.87, "val_loss": 0.33964669704437256, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3120794892311096, "train_acc": 0.85, "val_loss": 0.26438117027282715, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3477008789777756, "train_acc": 0.885, "val_loss": 0.29380691051483154, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3150591403245926, "train_acc": 0.9, "val_loss": 0.24149180948734283, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.25906743109226227, "train_acc": 0.905, "val_loss": 0.2421136051416397, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7291309833526611, "final_val_loss": 0.5624239444732666, "initial_val_acc": 0.56, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.4833422005176544, "final_val_loss": 0.2421136051416397, "initial_val_acc": 0.76, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
9,987
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.7, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2334, "learning_rate": 0.05593121582161742, "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: 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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0.291314
],
[
0.002212,
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## Activation Signature
### 0
mean: [0.908555, 2.638128, 1.893514, 0.590111, -0.184501, -0.881250, -1.060621]
std: [0.965426, 2.280140, 1.766707, 2.086787, 0.980873, 1.071495, 0.982570]
pca: [[0.187970, -0.173449, 0.292628, 0.841623, 0.202395, 0.280911, -0.144042, 0.000000, 0.000000, 0.000000], [0.669844, 0.393373, -0.033415, -0.080233, -0.344105, 0.450847, 0.259503, 0.000000, 0.000000, 0.000000], [0.533899, 0.214604, 0.057188, -0.199060, 0.542605, -0.323234, -0.476552, 0.000000, 0.000000, 0.000000], [-0.346834, 0.862674, 0.119797, 0.285555, -0.027052, -0.197157, -0.002064, 0.000000, 0.000000, 0.000000], [-0.050944, 0.001757, 0.678283, -0.255244, 0.410064, 0.077781, 0.545877, 0.000000, 0.000000, 0.000000], [-0.317255, 0.116795, 0.134254, -0.301337, 0.106333, 0.705121, -0.518051, 0.000000, 0.000000, 0.000000], [-0.085955, 0.106149, -0.646172, 0.090076, 0.604994, 0.266888, 0.344160, 0.000000, 0.000000, 0.000000]]
fourier: [[15.374312, 16.271440, 17.707682, 19.669140, 81.769923], [33.164128, 36.872003, 43.656749, 44.378784, 237.431484], [26.161217, 27.633915, 33.507871, 34.558536, 170.416288], [32.057977, 32.600767, 33.560561, 39.302002, 53.109977], [15.528156, 16.605063, 17.465603, 17.821120, 18.441380], [17.062029, 17.898084, 19.569263, 20.984136, 79.312500], [13.480817, 13.874062, 14.281491, 22.619411, 95.455916]]
### 2
mean: [0.137018, 0.936617, 1.212775, 0.928168, 1.111050, 1.469775, -0.444216]
std: [0.484060, 1.201508, 1.754032, 0.971440, 0.626597, 1.256015, 0.484006]
pca: [[0.073892, -0.509611, 0.618529, -0.312528, -0.172990, -0.279320, 0.382935, 0.000000, 0.000000, 0.000000], [0.441887, -0.202588, -0.318554, -0.446922, 0.267673, -0.462010, -0.421161, 0.000000, 0.000000, 0.000000], [0.653425, 0.096478, 0.083303, -0.052191, -0.615623, 0.379560, -0.176089, 0.000000, 0.000000, 0.000000], [0.361476, -0.013520, 0.030309, -0.198173, 0.627180, 0.540327, 0.379015, 0.000000, 0.000000, 0.000000], [-0.022469, 0.809100, 0.330237, -0.429162, 0.034183, -0.218066, 0.053803, 0.000000, 0.000000, 0.000000], [0.464283, 0.187403, -0.132861, 0.529575, 0.031260, -0.473802, 0.475136, 0.000000, 0.000000, 0.000000], [-0.159948, -0.001216, -0.617558, -0.442675, -0.352042, 0.021599, 0.522183, 0.000000, 0.000000, 0.000000]]
fourier: [[7.866129, 8.283808, 8.307743, 10.269550, 12.331639], [17.864851, 19.777706, 20.382995, 26.482912, 84.295548], [26.920346, 28.797295, 30.297149, 35.102641, 109.149713], [14.646768, 15.813637, 17.292684, 20.117676, 83.535116], [9.732829, 10.484757, 11.341917, 11.908043, 99.994498], [20.614412, 20.726799, 21.411287, 23.501721, 132.279721], [7.744908, 8.060352, 8.148776, 9.687162, 39.979459]]
### 4
mean: [-0.952661, 1.355613, -0.312144, -0.811425, 0.788107, 1.592281, -0.112866]
std: [1.612570, 1.441309, 1.325536, 0.294280, 1.430781, 2.053511, 0.958678]
pca: [[-0.439158, 0.209151, 0.469918, -0.083461, -0.043329, -0.077039, 0.726495, 0.000000, 0.000000, 0.000000], [0.393475, -0.062508, 0.221884, 0.806077, -0.031698, -0.336552, 0.167350, 0.000000, 0.000000, 0.000000], [-0.358549, -0.278908, 0.676839, 0.126225, -0.056339, 0.112392, -0.551184, 0.000000, 0.000000, 0.000000], [-0.039245, 0.476566, 0.117540, -0.127452, 0.598003, -0.555126, -0.274794, 0.000000, 0.000000, 0.000000], [0.384185, 0.493066, 0.293898, 0.065896, 0.221633, 0.685134, -0.006374, 0.000000, 0.000000, 0.000000], [0.556782, -0.471749, 0.371124, -0.497783, 0.181108, -0.141029, 0.170987, 0.000000, 0.000000, 0.000000], [-0.254197, -0.426359, -0.184146, 0.242832, 0.744590, 0.265900, 0.188698, 0.000000, 0.000000, 0.000000]]
fourier: [[26.669982, 26.999830, 28.775729, 31.255156, 85.739508], [22.958717, 23.587698, 24.758919, 28.694480, 122.005158], [19.811241, 22.599934, 23.189536, 28.092995, 28.337076], [4.815160, 5.233573, 5.497400, 5.908977, 73.028256], [22.325144, 23.266290, 23.920612, 31.821330, 70.929603], [32.678006, 35.073859, 36.421614, 38.700627, 143.305333], [12.735294, 15.211278, 15.826939, 16.132743, 21.544604]]
### 6
mean: [2.206438, -0.030197, 0.008134, -0.174182, 0.065940, -0.239602, -0.217111]
std: [2.565268, 0.495332, 1.126526, 1.000821, 1.052895, 0.981638, 0.577545]
pca: [[0.761244, 0.597898, -0.038781, 0.094838, 0.178415, -0.086485, -0.114960, 0.000000, 0.000000, 0.000000], [-0.141998, 0.194671, 0.902214, -0.098740, 0.293916, -0.041227, 0.173535, 0.000000, 0.000000, 0.000000], [-0.328292, 0.439377, -0.098693, -0.529857, -0.240369, -0.528150, -0.268259, 0.000000, 0.000000, 0.000000], [-0.298315, 0.146950, -0.019321, 0.802636, 0.065053, -0.484402, -0.077068, 0.000000, 0.000000, 0.000000], [-0.299062, 0.567724, 0.003085, 0.196728, -0.401779, 0.621538, 0.042470, 0.000000, 0.000000, 0.000000], [-0.293453, 0.100416, -0.201664, -0.063444, 0.724888, 0.290850, -0.499052, 0.000000, 0.000000, 0.000000], [-0.167402, 0.239959, -0.365670, -0.116431, 0.364532, -0.079565, 0.792409, 0.000000, 0.000000, 0.000000]]
fourier: [[41.423524, 42.628637, 45.144354, 49.832080, 198.579390], [6.856719, 7.989059, 8.195896, 8.210816, 11.226027], [14.534035, 17.196952, 18.225369, 18.260973, 26.954525], [14.383888, 15.676407, 17.073886, 17.368304, 22.362131], [13.930950, 15.914291, 16.732545, 16.774974, 25.632037], [14.424545, 16.473358, 17.009069, 21.564221, 21.913299], [8.474677, 9.328283, 9.339936, 14.074153, 19.539986]]
### 8
mean: [0.646792, 0.079291, -0.032115, -0.552488, 0.789045, 0.737597, -0.065443]
std: [1.479905, 1.368687, 0.711396, 0.587654, 1.874064, 1.819518, 0.736364]
pca: [[0.431001, -0.089663, 0.276572, 0.057876, 0.176601, 0.825547, -0.116792, 0.000000, 0.000000, 0.000000], [-0.397603, -0.158737, 0.082116, 0.267090, 0.855836, -0.028619, 0.073203, 0.000000, 0.000000, 0.000000], [-0.197057, -0.308713, 0.628112, 0.008785, -0.163914, -0.196739, -0.636937, 0.000000, 0.000000, 0.000000], [0.050561, 0.785195, 0.499361, 0.317463, 0.006907, -0.113215, 0.133800, 0.000000, 0.000000, 0.000000], [0.546301, -0.002433, 0.211450, -0.584241, 0.397824, -0.393148, 0.051683, 0.000000, 0.000000, 0.000000], [0.524813, -0.368598, -0.013325, 0.679703, -0.057289, -0.326821, 0.128214, 0.000000, 0.000000, 0.000000], [-0.202207, -0.345046, 0.477483, -0.145327, -0.218849, 0.068929, 0.733689, 0.000000, 0.000000, 0.000000]]
fourier: [[21.414131, 23.827394, 24.005985, 35.543677, 58.211320], [19.359000, 19.737419, 20.886389, 21.232561, 34.032716], [9.204785, 9.486600, 9.866298, 11.113953, 18.157820], [9.160050, 9.629349, 10.508809, 10.562760, 49.723902], [27.159106, 29.711665, 29.911144, 45.694613, 71.014084], [26.181134, 30.163614, 30.587682, 41.903451, 66.383755], [9.241168, 9.712289, 10.194936, 11.496144, 18.807582]]
### 10
mean: [-1.431889]
std: [2.112980]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.965674, 35.213608, 38.150544, 43.602358, 128.869990]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.065672,
0.177589,
0.332201,
0.571186,
-0.038214,
0.361763,
0.056396
],
[
-0.190511,
-0.288643,
0.150305,
-0.436666,
-0.68695,
-0.078945,
-0.300623
],
[
0.439512,
-0.366807,
-0.336036,
-0.155085,
-0.505049,
-0.548415,
-0.337714
],
[
0.537712,
0.138508,
-0.185463,
-0.15191,
-0.558563,
-0.192619,
-0.200512
],
[
-0.061187,
0.135059,
0.219472,
0.486389,
0.184205,
0.411851,
-0.009108
]
],
"network.8.bias": [
0.156507,
0.30124,
-0.17695,
0.171086,
0.278845,
-0.116682,
-0.243581
],
"network.10.weight": [
[
-0.624229,
0.228416,
0.009162,
-0.123283,
-0.661124,
-0.219661,
0.165004
]
],
"network.10.bias": [
-0.064106
]
}
## Activation Signature
### 0
mean: [0.908555, 2.638128, 1.893514, 0.590111, -0.184501, -0.881250, -1.060621]
std: [0.965426, 2.280140, 1.766707, 2.086787, 0.980873, 1.071495, 0.982570]
pca: [[0.187970, -0.173449, 0.292628, 0.841623, 0.202395, 0.280911, -0.144042, 0.000000, 0.000000, 0.000000], [0.669844, 0.393373, -0.033415, -0.080233, -0.344105, 0.450847, 0.259503, 0.000000, 0.000000, 0.000000], [0.533899, 0.214604, 0.057188, -0.199060, 0.542605, -0.323234, -0.476552, 0.000000, 0.000000, 0.000000], [-0.346834, 0.862674, 0.119797, 0.285555, -0.027052, -0.197157, -0.002064, 0.000000, 0.000000, 0.000000], [-0.050944, 0.001757, 0.678283, -0.255244, 0.410064, 0.077781, 0.545877, 0.000000, 0.000000, 0.000000], [-0.317255, 0.116795, 0.134254, -0.301337, 0.106333, 0.705121, -0.518051, 0.000000, 0.000000, 0.000000], [-0.085955, 0.106149, -0.646172, 0.090076, 0.604994, 0.266888, 0.344160, 0.000000, 0.000000, 0.000000]]
fourier: [[15.374312, 16.271440, 17.707682, 19.669140, 81.769923], [33.164128, 36.872003, 43.656749, 44.378784, 237.431484], [26.161217, 27.633915, 33.507871, 34.558536, 170.416288], [32.057977, 32.600767, 33.560561, 39.302002, 53.109977], [15.528156, 16.605063, 17.465603, 17.821120, 18.441380], [17.062029, 17.898084, 19.569263, 20.984136, 79.312500], [13.480817, 13.874062, 14.281491, 22.619411, 95.455916]]
### 2
mean: [0.137018, 0.936617, 1.212775, 0.928168, 1.111050, 1.469775, -0.444216]
std: [0.484060, 1.201508, 1.754032, 0.971440, 0.626597, 1.256015, 0.484006]
pca: [[0.073892, -0.509611, 0.618529, -0.312528, -0.172990, -0.279320, 0.382935, 0.000000, 0.000000, 0.000000], [0.441887, -0.202588, -0.318554, -0.446922, 0.267673, -0.462010, -0.421161, 0.000000, 0.000000, 0.000000], [0.653425, 0.096478, 0.083303, -0.052191, -0.615623, 0.379560, -0.176089, 0.000000, 0.000000, 0.000000], [0.361476, -0.013520, 0.030309, -0.198173, 0.627180, 0.540327, 0.379015, 0.000000, 0.000000, 0.000000], [-0.022469, 0.809100, 0.330237, -0.429162, 0.034183, -0.218066, 0.053803, 0.000000, 0.000000, 0.000000], [0.464283, 0.187403, -0.132861, 0.529575, 0.031260, -0.473802, 0.475136, 0.000000, 0.000000, 0.000000], [-0.159948, -0.001216, -0.617558, -0.442675, -0.352042, 0.021599, 0.522183, 0.000000, 0.000000, 0.000000]]
fourier: [[7.866129, 8.283808, 8.307743, 10.269550, 12.331639], [17.864851, 19.777706, 20.382995, 26.482912, 84.295548], [26.920346, 28.797295, 30.297149, 35.102641, 109.149713], [14.646768, 15.813637, 17.292684, 20.117676, 83.535116], [9.732829, 10.484757, 11.341917, 11.908043, 99.994498], [20.614412, 20.726799, 21.411287, 23.501721, 132.279721], [7.744908, 8.060352, 8.148776, 9.687162, 39.979459]]
### 4
mean: [-0.952661, 1.355613, -0.312144, -0.811425, 0.788107, 1.592281, -0.112866]
std: [1.612570, 1.441309, 1.325536, 0.294280, 1.430781, 2.053511, 0.958678]
pca: [[-0.439158, 0.209151, 0.469918, -0.083461, -0.043329, -0.077039, 0.726495, 0.000000, 0.000000, 0.000000], [0.393475, -0.062508, 0.221884, 0.806077, -0.031698, -0.336552, 0.167350, 0.000000, 0.000000, 0.000000], [-0.358549, -0.278908, 0.676839, 0.126225, -0.056339, 0.112392, -0.551184, 0.000000, 0.000000, 0.000000], [-0.039245, 0.476566, 0.117540, -0.127452, 0.598003, -0.555126, -0.274794, 0.000000, 0.000000, 0.000000], [0.384185, 0.493066, 0.293898, 0.065896, 0.221633, 0.685134, -0.006374, 0.000000, 0.000000, 0.000000], [0.556782, -0.471749, 0.371124, -0.497783, 0.181108, -0.141029, 0.170987, 0.000000, 0.000000, 0.000000], [-0.254197, -0.426359, -0.184146, 0.242832, 0.744590, 0.265900, 0.188698, 0.000000, 0.000000, 0.000000]]
fourier: [[26.669982, 26.999830, 28.775729, 31.255156, 85.739508], [22.958717, 23.587698, 24.758919, 28.694480, 122.005158], [19.811241, 22.599934, 23.189536, 28.092995, 28.337076], [4.815160, 5.233573, 5.497400, 5.908977, 73.028256], [22.325144, 23.266290, 23.920612, 31.821330, 70.929603], [32.678006, 35.073859, 36.421614, 38.700627, 143.305333], [12.735294, 15.211278, 15.826939, 16.132743, 21.544604]]
### 6
mean: [2.206438, -0.030197, 0.008134, -0.174182, 0.065940, -0.239602, -0.217111]
std: [2.565268, 0.495332, 1.126526, 1.000821, 1.052895, 0.981638, 0.577545]
pca: [[0.761244, 0.597898, -0.038781, 0.094838, 0.178415, -0.086485, -0.114960, 0.000000, 0.000000, 0.000000], [-0.141998, 0.194671, 0.902214, -0.098740, 0.293916, -0.041227, 0.173535, 0.000000, 0.000000, 0.000000], [-0.328292, 0.439377, -0.098693, -0.529857, -0.240369, -0.528150, -0.268259, 0.000000, 0.000000, 0.000000], [-0.298315, 0.146950, -0.019321, 0.802636, 0.065053, -0.484402, -0.077068, 0.000000, 0.000000, 0.000000], [-0.299062, 0.567724, 0.003085, 0.196728, -0.401779, 0.621538, 0.042470, 0.000000, 0.000000, 0.000000], [-0.293453, 0.100416, -0.201664, -0.063444, 0.724888, 0.290850, -0.499052, 0.000000, 0.000000, 0.000000], [-0.167402, 0.239959, -0.365670, -0.116431, 0.364532, -0.079565, 0.792409, 0.000000, 0.000000, 0.000000]]
fourier: [[41.423524, 42.628637, 45.144354, 49.832080, 198.579390], [6.856719, 7.989059, 8.195896, 8.210816, 11.226027], [14.534035, 17.196952, 18.225369, 18.260973, 26.954525], [14.383888, 15.676407, 17.073886, 17.368304, 22.362131], [13.930950, 15.914291, 16.732545, 16.774974, 25.632037], [14.424545, 16.473358, 17.009069, 21.564221, 21.913299], [8.474677, 9.328283, 9.339936, 14.074153, 19.539986]]
### 8
mean: [0.646792, 0.079291, -0.032115, -0.552488, 0.789045, 0.737597, -0.065443]
std: [1.479905, 1.368687, 0.711396, 0.587654, 1.874064, 1.819518, 0.736364]
pca: [[0.431001, -0.089663, 0.276572, 0.057876, 0.176601, 0.825547, -0.116792, 0.000000, 0.000000, 0.000000], [-0.397603, -0.158737, 0.082116, 0.267090, 0.855836, -0.028619, 0.073203, 0.000000, 0.000000, 0.000000], [-0.197057, -0.308713, 0.628112, 0.008785, -0.163914, -0.196739, -0.636937, 0.000000, 0.000000, 0.000000], [0.050561, 0.785195, 0.499361, 0.317463, 0.006907, -0.113215, 0.133800, 0.000000, 0.000000, 0.000000], [0.546301, -0.002433, 0.211450, -0.584241, 0.397824, -0.393148, 0.051683, 0.000000, 0.000000, 0.000000], [0.524813, -0.368598, -0.013325, 0.679703, -0.057289, -0.326821, 0.128214, 0.000000, 0.000000, 0.000000], [-0.202207, -0.345046, 0.477483, -0.145327, -0.218849, 0.068929, 0.733689, 0.000000, 0.000000, 0.000000]]
fourier: [[21.414131, 23.827394, 24.005985, 35.543677, 58.211320], [19.359000, 19.737419, 20.886389, 21.232561, 34.032716], [9.204785, 9.486600, 9.866298, 11.113953, 18.157820], [9.160050, 9.629349, 10.508809, 10.562760, 49.723902], [27.159106, 29.711665, 29.911144, 45.694613, 71.014084], [26.181134, 30.163614, 30.587682, 41.903451, 66.383755], [9.241168, 9.712289, 10.194936, 11.496144, 18.807582]]
### 10
mean: [-1.431889]
std: [2.112980]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[30.965674, 35.213608, 38.150544, 43.602358, 128.869990]]
## 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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27.633914940299594, 33.50787092895392, 34.55853636967459, 170.41628777980804]}, "3": {"mean": 0.5901107788085938, "std": 2.0867867469787598, "pca": [-0.34683382511138916, 0.8626741170883179, 0.11979729682207108, 0.2855546772480011, -0.027052419260144234, -0.1971566081047058, -0.0020644806791096926, 0.0, 0.0, 0.0], "fourier": [32.05797688639069, 32.6007667202491, 33.56056075348509, 39.30200231681065, 53.10997662693262]}, "4": {"mean": -0.18450069427490234, "std": 0.9808733463287354, "pca": [-0.05094359070062637, 0.0017572568031027913, 0.6782830953598022, -0.25524434447288513, 0.410064160823822, 0.07778073102235794, 0.5458769202232361, 0.0, 0.0, 0.0], "fourier": [15.528156253508465, 16.605062901973724, 17.465602731046936, 17.82112015840819, 18.44138023793539]}, "5": {"mean": -0.8812500238418579, "std": 1.071494698524475, "pca": [-0.3172553777694702, 0.11679547280073166, 0.13425372540950775, -0.30133700370788574, 0.10633315145969391, 0.7051212191581726, -0.518051266670227, 0.0, 0.0, 0.0], "fourier": [17.062029473783955, 17.898084257050932, 19.56926300311204, 20.984136455041934, 79.31250040605664]}, "6": {"mean": -1.0606212615966797, "std": 0.9825695753097534, "pca": [-0.08595462143421173, 0.10614873468875885, -0.6461719870567322, 0.09007640928030014, 0.6049935221672058, 0.26688817143440247, 0.3441595137119293, 0.0, 0.0, 0.0], "fourier": [13.480816994074384, 13.874062137710245, 14.281490636300486, 22.619410529509537, 95.45591560006142]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.13701821863651276, "std": 0.484059602022171, "pca": [0.07389168441295624, -0.5096109509468079, 0.618529200553894, -0.31252825260162354, -0.17298974096775055, -0.2793203294277191, 0.3829348385334015, 0.0, 0.0, 0.0], "fourier": [7.866129309733338, 8.283808061078902, 8.307742981201109, 10.26955017761281, 12.331639185547829]}, "1": {"mean": 0.9366171956062317, "std": 1.2015080451965332, 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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": [[0.064279, 0.155711, 0.421076, -0.077056, -0.125883], [0.791606, 0.371355, 0.005555, 0.494428, 0.015362], [0.56941, 0.443605, -0.00483, 0.25732, -0.02402], [-0.603312, -0.113717, -0.175481, 0.476209, 0.694228], [-0.256863, 0.335585, 0.07687, -0.354582, 0.405115], [-0.411922, -0.072871, -0.157416, -0.121492, 0.291314], [0.002212, -0.243237, -0.194572, 0.333635, -0.29742]], "network.0.bias": [-0.01426, -0.114497, -0.135528, 0.037261, -0.376192, -0.005777, -0.562346], "network.2.weight": [[0.174086, -0.009367, -0.048069, -0.155692, -0.476948, -0.299577, -0.001104], [-0.03106, 0.475436, -0.03818, -0.479881, -0.048011, 0.125975, -0.158771], [0.341183, 0.325656, 0.375887, -0.403123, -0.123874, 0.009971, -0.30504], [0.155042, 0.261459, 0.094921, -0.288568, -0.016681, -0.000531, 0.241056], [0.328868, -0.029999, 0.059433, 0.438869, 0.180874, -0.355178, 0.302112], [0.143518, 0.18654, 0.3713, -0.269593, 0.232537, -0.25248, -0.269571], [-0.323085, -0.041909, -0.04478, 0.035255, -0.011881, 0.540513, 0.065081]], "network.2.bias": [0.340122, 0.287222, -0.20291, 0.242087, 0.320611, 0.391155, 0.007185], "network.4.weight": [[-0.623562, -0.597608, -0.660239, -0.056991, 0.024671, 0.147799, -0.310608], [0.051992, 0.303459, 0.383472, 0.111125, -0.245759, 0.300559, 0.282424], [-0.563057, -0.496342, -0.581495, -0.275109, 0.365099, 0.370095, -0.444688], [0.063933, -0.227918, -0.159826, 0.094931, -0.38939, 0.206267, 0.30533], [0.132199, 0.241998, 0.46014, 0.135258, -0.650545, 0.156837, -0.142697], [0.379423, 0.1902, 0.532727, 0.72406, 0.035195, 0.217688, -0.072902], [-0.291672, -0.43887, 0.154297, -0.398229, 0.40275, -0.22291, -0.049709]], "network.4.bias": [0.339345, 0.325433, 0.309254, -0.366101, 0.25218, -0.295747, 0.400224], "network.6.weight": [[-0.296225, 0.719092, -0.040351, -0.287233, 0.282927, 0.531918, -0.212443], [-0.040056, -0.159339, 0.274113, -0.059776, -0.452054, 0.228858, 0.241618], [0.239293, -0.315051, 0.500084, -0.106533, -0.269843, 0.02283, 0.649554], [0.474291, 0.077458, 0.557835, -0.548154, -0.444527, -0.172793, 0.035066], [0.563496, -0.073844, 0.698718, -0.095758, -0.507102, 0.063524, 0.48127], [0.15513, 0.211414, 0.314286, -0.209034, -0.335775, -0.331219, 0.375623], [0.18914, 0.18693, 0.29472, -0.399774, -0.187007, -0.195474, 0.366943]], "network.6.bias": [0.21061, 0.093228, 0.341739, 0.149573, 0.208889, 0.121565, -0.195585], "network.8.weight": [[0.375262, -0.080719, -0.491109, -0.325717, -0.284446, 0.160644, -0.40976], [-0.26469, 0.604912, 0.167889, 0.569436, 0.175894, 0.412716, 0.446143], [-0.065672, 0.177589, 0.332201, 0.571186, -0.038214, 0.361763, 0.056396], [-0.190511, -0.288643, 0.150305, -0.436666, -0.68695, -0.078945, -0.300623], [0.439512, -0.366807, -0.336036, -0.155085, -0.505049, -0.548415, -0.337714], [0.537712, 0.138508, -0.185463, -0.15191, -0.558563, -0.192619, -0.200512], [-0.061187, 0.135059, 0.219472, 0.486389, 0.184205, 0.411851, -0.009108]], "network.8.bias": [0.156507, 0.30124, -0.17695, 0.171086, 0.278845, -0.116682, -0.243581], "network.10.weight": [[-0.624229, 0.228416, 0.009162, -0.123283, -0.661124, -0.219661, 0.165004]], "network.10.bias": [-0.064106]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6791583597660065, "train_acc": 0.585, "val_loss": 0.7202426195144653, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.677903413772583, "train_acc": 0.585, "val_loss": 0.6773409843444824, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6359424293041229, "train_acc": 0.54, "val_loss": 0.6008704900741577, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5393882989883423, "train_acc": 0.775, "val_loss": 0.5588634610176086, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4708711802959442, "train_acc": 0.79, "val_loss": 0.5543148517608643, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4488038718700409, "train_acc": 0.805, "val_loss": 0.6006116271018982, "val_acc": 0.64}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.477770134806633, "train_acc": 0.77, "val_loss": 0.5740759968757629, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4324563592672348, "train_acc": 0.78, "val_loss": 0.577728807926178, "val_acc": 0.66}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7202426195144653, "final_val_loss": 0.6773409843444824, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6008704900741577, "final_val_loss": 0.577728807926178, "initial_val_acc": 0.68, "final_val_acc": 0.66, "best_val_acc": 0.7, "best_epoch": 3}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
9,988
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.64, "improved_accuracy": 0.88, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6019, "learning_rate": 0.02740050701574584, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.267848
],
[
0.332749,
0.175034,
-0.083185,
0.129126,
-0.251249,
-0.16727
],
[
-0.322812,
-0.07603,
0.100651,
-0.246763,
-0.096109,
-0.331009
],
[
-0.414659,
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0.479077,
-0.11739,
0.357328,
0.75026
],
[
0.017693,
0.39393,
-0.318348,
-0.409886,
0.633968,
-0.685974
],
[
-0.369858,
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0.145972,
-0.137029,
-0.254875,
-0.018355
]
],
"network.6.bias": [
-0.119215,
0.020411,
-0.401231,
-0.16047,
0.469822,
-0.266354
],
"network.8.weight": [
[
-0.25664,
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0.297666,
-0.154634,
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],
[
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0.306526,
0.741168,
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0.349174
],
[
0.10648,
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0.031828,
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],
[
0.001408,
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],
[
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0.049277,
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0.003058
],
[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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-0.480356,
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],
"network.10.bias": [
0.68972
]
}
## Activation Signature
### 0
mean: [1.771435, 0.482614, -2.834727, 1.852169, -0.366551, 2.064168]
std: [2.331043, 1.359617, 1.419852, 2.257444, 1.520654, 1.953965]
pca: [[0.679708, -0.035318, -0.318393, 0.036885, -0.324739, 0.573202, 0.000000, 0.000000, 0.000000, 0.000000], [0.038643, 0.066196, 0.620421, 0.744429, -0.175689, 0.155440, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285505, -0.374240, -0.280549, 0.323932, 0.603208, 0.480554, 0.000000, 0.000000, 0.000000, 0.000000], [0.670228, -0.033137, 0.181296, 0.037317, 0.632119, -0.340384, 0.000000, 0.000000, 0.000000, 0.000000], [-0.002765, -0.373391, 0.626545, -0.559330, 0.047260, 0.391062, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076015, 0.844865, 0.097822, -0.159031, 0.313065, 0.384129, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.929802, 33.303388, 35.965368, 48.553647, 159.429117], [21.714931, 25.363342, 26.240008, 27.545670, 43.435242], [22.695533, 22.862576, 23.727999, 25.294557, 255.125431], [35.298972, 36.070978, 37.858032, 40.460396, 166.695233], [22.089338, 23.975402, 24.414697, 32.019842, 32.989558], [33.001756, 33.910209, 34.840024, 36.395070, 185.775138]]
### 2
mean: [0.996794, 1.926003, -1.822131, 1.848011, 2.544815, 1.562681]
std: [1.056699, 0.974970, 1.262096, 1.991470, 2.831847, 2.093498]
pca: [[-0.052344, 0.620591, 0.177316, 0.249349, 0.664434, -0.277558, 0.000000, 0.000000, 0.000000, 0.000000], [0.144935, 0.436094, -0.468811, -0.084712, 0.072650, 0.746042, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233884, -0.482146, -0.006123, 0.683493, 0.331097, 0.368792, 0.000000, 0.000000, 0.000000, 0.000000], [0.474279, 0.210861, -0.223256, 0.652951, -0.444571, -0.238256, 0.000000, 0.000000, 0.000000, 0.000000], [0.670328, -0.383434, -0.306072, -0.192503, 0.494500, -0.168440, 0.000000, 0.000000, 0.000000, 0.000000], [0.497265, 0.027213, 0.777955, 0.009144, -0.038085, 0.381101, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.929140, 18.418073, 19.590625, 22.187159, 89.711447], [14.224273, 16.025458, 16.669434, 17.228411, 173.340301], [18.453941, 19.268919, 20.581336, 22.493171, 163.991785], [28.723442, 33.098361, 36.062130, 36.504377, 166.321006], [47.334874, 48.861073, 53.196416, 55.819005, 229.033388], [34.068787, 35.120194, 35.808945, 41.283401, 140.641269]]
### 4
mean: [-0.277775, -1.211032, 3.849500, -1.046159, 4.664573, 2.793058]
std: [1.171939, 1.657750, 3.830321, 0.596041, 2.780566, 2.679126]
pca: [[-0.177643, 0.488061, 0.552878, 0.083649, 0.133025, 0.632355, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284861, 0.265363, 0.177107, 0.617137, -0.515504, -0.412876, 0.000000, 0.000000, 0.000000, 0.000000], [0.670002, -0.133241, -0.155207, 0.620545, -0.030440, 0.351074, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099153, -0.147375, 0.252007, 0.377024, 0.799121, -0.352421, 0.000000, 0.000000, 0.000000, 0.000000], [0.460461, 0.767610, -0.148716, -0.164816, 0.170283, -0.347093, 0.000000, 0.000000, 0.000000, 0.000000], [0.465337, -0.250362, 0.743805, -0.240328, -0.219185, -0.248464, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.827527, 19.181915, 20.759655, 22.456380, 24.999729], [28.347465, 28.792344, 28.969401, 31.624694, 108.992899], [62.260740, 63.730808, 68.633380, 73.880871, 346.455033], [8.365166, 9.818701, 10.062140, 10.465068, 94.154267], [39.203851, 44.316051, 48.632912, 50.177300, 419.811571], [44.882773, 45.728751, 46.648582, 53.219967, 251.375218]]
### 6
mean: [-0.914470, -1.823797, -1.531757, 5.380679, 0.238562, -1.079759]
std: [0.523845, 1.550795, 0.647429, 4.823208, 1.528393, 0.440702]
pca: [[-0.087065, -0.273800, -0.006803, 0.933204, 0.189324, -0.103413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291835, -0.089192, -0.398093, -0.207067, 0.826110, 0.151870, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109826, -0.226154, 0.653594, -0.202765, 0.312839, -0.608790, 0.000000, 0.000000, 0.000000, 0.000000], [0.911425, 0.140015, 0.065119, 0.053435, 0.376504, 0.029154, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253960, 0.796784, 0.410710, 0.197491, 0.201698, 0.228629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000071, -0.459851, 0.491292, -0.057294, 0.037310, 0.736542, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.605377, 8.279594, 8.448293, 9.037922, 82.302333], [23.975406, 25.664837, 28.074951, 30.427901, 164.141739], [8.946969, 10.575424, 10.827253, 11.439584, 137.858122], [77.545322, 77.667786, 85.933781, 94.536005, 484.261109], [23.913757, 26.663233, 26.928046, 27.190399, 29.576753], [6.924603, 7.033472, 8.965213, 9.075318, 97.178294]]
### 8
mean: [1.291528, 3.533739, -2.016979, 2.403613, -0.813109, -0.297545]
std: [1.519550, 4.001959, 1.442510, 2.544850, 0.820203, 0.221220]
pca: [[0.290220, -0.100199, 0.458137, -0.599641, -0.576180, 0.065502, 0.000000, 0.000000, 0.000000, 0.000000], [0.764655, 0.113656, -0.386973, -0.001005, 0.114384, 0.489442, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272311, 0.480845, 0.236878, 0.391089, -0.372497, 0.588914, 0.000000, 0.000000, 0.000000, 0.000000], [0.486198, -0.101908, 0.470409, 0.637978, -0.066759, -0.347086, 0.000000, 0.000000, 0.000000, 0.000000], [0.138903, 0.816900, -0.156585, -0.146401, -0.101877, -0.507000, 0.000000, 0.000000, 0.000000, 0.000000], [0.035207, 0.260997, 0.581763, -0.242962, 0.708056, 0.178380, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.731029, 24.936476, 27.171458, 30.306492, 116.237523], [65.556565, 67.101381, 71.888891, 80.781124, 318.036485], [22.832576, 23.003628, 25.463731, 27.791971, 181.528075], [41.500166, 42.016658, 45.567929, 50.936567, 216.325174], [13.464894, 14.463720, 15.603265, 16.224361, 73.179805], [3.637710, 3.796670, 4.147043, 4.258333, 26.779034]]
### 10
mean: [-4.392644]
std: [4.844666]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.433690, 81.325381, 82.980644, 95.422863, 395.337951]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.886174,
0.469353,
0.200585,
0.61294,
0.112418
],
[
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0.0807
],
[
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-0.320454,
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-0.258102,
-0.338998
],
[
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0.490952,
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],
[
-0.123757,
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0.691646
],
[
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0.212757,
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]
],
"network.0.bias": [
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-0.12702,
-0.66626,
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0.044912,
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],
"network.2.weight": [
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],
[
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0.355518
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],
[
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0.028425
],
[
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],
[
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0.01,
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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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0.687807
],
[
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0.01826,
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],
[
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0.55956
],
[
-0.315229,
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]
],
"network.4.bias": [
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0.00413,
0.089305,
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0.073712
],
"network.6.weight": [
[
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],
[
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],
[
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],
[
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0.75026
],
[
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0.633968,
-0.685974
],
[
-0.369858,
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0.145972,
-0.137029,
-0.254875,
-0.018355
]
],
"network.6.bias": [
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0.020411,
-0.401231,
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0.469822,
-0.266354
],
"network.8.weight": [
[
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0.297666,
-0.154634,
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],
[
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],
[
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[
0.001408,
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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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-0.480356,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [1.771435, 0.482614, -2.834727, 1.852169, -0.366551, 2.064168]
std: [2.331043, 1.359617, 1.419852, 2.257444, 1.520654, 1.953965]
pca: [[0.679708, -0.035318, -0.318393, 0.036885, -0.324739, 0.573202, 0.000000, 0.000000, 0.000000, 0.000000], [0.038643, 0.066196, 0.620421, 0.744429, -0.175689, 0.155440, 0.000000, 0.000000, 0.000000, 0.000000], [-0.285505, -0.374240, -0.280549, 0.323932, 0.603208, 0.480554, 0.000000, 0.000000, 0.000000, 0.000000], [0.670228, -0.033137, 0.181296, 0.037317, 0.632119, -0.340384, 0.000000, 0.000000, 0.000000, 0.000000], [-0.002765, -0.373391, 0.626545, -0.559330, 0.047260, 0.391062, 0.000000, 0.000000, 0.000000, 0.000000], [-0.076015, 0.844865, 0.097822, -0.159031, 0.313065, 0.384129, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[29.929802, 33.303388, 35.965368, 48.553647, 159.429117], [21.714931, 25.363342, 26.240008, 27.545670, 43.435242], [22.695533, 22.862576, 23.727999, 25.294557, 255.125431], [35.298972, 36.070978, 37.858032, 40.460396, 166.695233], [22.089338, 23.975402, 24.414697, 32.019842, 32.989558], [33.001756, 33.910209, 34.840024, 36.395070, 185.775138]]
### 2
mean: [0.996794, 1.926003, -1.822131, 1.848011, 2.544815, 1.562681]
std: [1.056699, 0.974970, 1.262096, 1.991470, 2.831847, 2.093498]
pca: [[-0.052344, 0.620591, 0.177316, 0.249349, 0.664434, -0.277558, 0.000000, 0.000000, 0.000000, 0.000000], [0.144935, 0.436094, -0.468811, -0.084712, 0.072650, 0.746042, 0.000000, 0.000000, 0.000000, 0.000000], [-0.233884, -0.482146, -0.006123, 0.683493, 0.331097, 0.368792, 0.000000, 0.000000, 0.000000, 0.000000], [0.474279, 0.210861, -0.223256, 0.652951, -0.444571, -0.238256, 0.000000, 0.000000, 0.000000, 0.000000], [0.670328, -0.383434, -0.306072, -0.192503, 0.494500, -0.168440, 0.000000, 0.000000, 0.000000, 0.000000], [0.497265, 0.027213, 0.777955, 0.009144, -0.038085, 0.381101, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.929140, 18.418073, 19.590625, 22.187159, 89.711447], [14.224273, 16.025458, 16.669434, 17.228411, 173.340301], [18.453941, 19.268919, 20.581336, 22.493171, 163.991785], [28.723442, 33.098361, 36.062130, 36.504377, 166.321006], [47.334874, 48.861073, 53.196416, 55.819005, 229.033388], [34.068787, 35.120194, 35.808945, 41.283401, 140.641269]]
### 4
mean: [-0.277775, -1.211032, 3.849500, -1.046159, 4.664573, 2.793058]
std: [1.171939, 1.657750, 3.830321, 0.596041, 2.780566, 2.679126]
pca: [[-0.177643, 0.488061, 0.552878, 0.083649, 0.133025, 0.632355, 0.000000, 0.000000, 0.000000, 0.000000], [-0.284861, 0.265363, 0.177107, 0.617137, -0.515504, -0.412876, 0.000000, 0.000000, 0.000000, 0.000000], [0.670002, -0.133241, -0.155207, 0.620545, -0.030440, 0.351074, 0.000000, 0.000000, 0.000000, 0.000000], [-0.099153, -0.147375, 0.252007, 0.377024, 0.799121, -0.352421, 0.000000, 0.000000, 0.000000, 0.000000], [0.460461, 0.767610, -0.148716, -0.164816, 0.170283, -0.347093, 0.000000, 0.000000, 0.000000, 0.000000], [0.465337, -0.250362, 0.743805, -0.240328, -0.219185, -0.248464, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[18.827527, 19.181915, 20.759655, 22.456380, 24.999729], [28.347465, 28.792344, 28.969401, 31.624694, 108.992899], [62.260740, 63.730808, 68.633380, 73.880871, 346.455033], [8.365166, 9.818701, 10.062140, 10.465068, 94.154267], [39.203851, 44.316051, 48.632912, 50.177300, 419.811571], [44.882773, 45.728751, 46.648582, 53.219967, 251.375218]]
### 6
mean: [-0.914470, -1.823797, -1.531757, 5.380679, 0.238562, -1.079759]
std: [0.523845, 1.550795, 0.647429, 4.823208, 1.528393, 0.440702]
pca: [[-0.087065, -0.273800, -0.006803, 0.933204, 0.189324, -0.103413, 0.000000, 0.000000, 0.000000, 0.000000], [-0.291835, -0.089192, -0.398093, -0.207067, 0.826110, 0.151870, 0.000000, 0.000000, 0.000000, 0.000000], [-0.109826, -0.226154, 0.653594, -0.202765, 0.312839, -0.608790, 0.000000, 0.000000, 0.000000, 0.000000], [0.911425, 0.140015, 0.065119, 0.053435, 0.376504, 0.029154, 0.000000, 0.000000, 0.000000, 0.000000], [-0.253960, 0.796784, 0.410710, 0.197491, 0.201698, 0.228629, 0.000000, 0.000000, 0.000000, 0.000000], [-0.000071, -0.459851, 0.491292, -0.057294, 0.037310, 0.736542, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.605377, 8.279594, 8.448293, 9.037922, 82.302333], [23.975406, 25.664837, 28.074951, 30.427901, 164.141739], [8.946969, 10.575424, 10.827253, 11.439584, 137.858122], [77.545322, 77.667786, 85.933781, 94.536005, 484.261109], [23.913757, 26.663233, 26.928046, 27.190399, 29.576753], [6.924603, 7.033472, 8.965213, 9.075318, 97.178294]]
### 8
mean: [1.291528, 3.533739, -2.016979, 2.403613, -0.813109, -0.297545]
std: [1.519550, 4.001959, 1.442510, 2.544850, 0.820203, 0.221220]
pca: [[0.290220, -0.100199, 0.458137, -0.599641, -0.576180, 0.065502, 0.000000, 0.000000, 0.000000, 0.000000], [0.764655, 0.113656, -0.386973, -0.001005, 0.114384, 0.489442, 0.000000, 0.000000, 0.000000, 0.000000], [-0.272311, 0.480845, 0.236878, 0.391089, -0.372497, 0.588914, 0.000000, 0.000000, 0.000000, 0.000000], [0.486198, -0.101908, 0.470409, 0.637978, -0.066759, -0.347086, 0.000000, 0.000000, 0.000000, 0.000000], [0.138903, 0.816900, -0.156585, -0.146401, -0.101877, -0.507000, 0.000000, 0.000000, 0.000000, 0.000000], [0.035207, 0.260997, 0.581763, -0.242962, 0.708056, 0.178380, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[24.731029, 24.936476, 27.171458, 30.306492, 116.237523], [65.556565, 67.101381, 71.888891, 80.781124, 318.036485], [22.832576, 23.003628, 25.463731, 27.791971, 181.528075], [41.500166, 42.016658, 45.567929, 50.936567, 216.325174], [13.464894, 14.463720, 15.603265, 16.224361, 73.179805], [3.637710, 3.796670, 4.147043, 4.258333, 26.779034]]
### 10
mean: [-4.392644]
std: [4.844666]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[71.433690, 81.325381, 82.980644, 95.422863, 395.337951]]
## 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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"sequence_length": 5, "num_layers": 5, "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": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.886174, 0.469353, 0.200585, 0.61294, 0.112418], [-0.148358, -0.206272, 0.681535, -0.164635, 0.0807], [0.092832, -0.320454, -0.348736, -0.258102, -0.338998], [-0.795224, 0.123979, 0.490952, 0.621466, 0.345622], [-0.123757, -0.367763, -0.022039, -0.183871, 0.691646], [0.687587, 0.268249, 0.318653, 0.212757, -0.17418]], "network.0.bias": [0.146899, -0.12702, -0.66626, -0.168644, 0.044912, -0.18736], "network.2.weight": [[0.276007, -0.416048, -0.135253, -0.176767, -0.08488, 0.484749], [0.313458, -0.002307, -0.288615, 0.082919, 0.247006, 0.355518], [-0.32597, 0.04264, -0.156687, -0.3065, 0.066836, -0.293046], [0.610784, 0.096266, -0.000991, 0.395367, 0.58506, 0.028425], [0.627428, 0.741399, -0.191664, 0.58342, 0.575298, -0.509522], [0.562042, 0.04814, -0.080725, 0.510526, 0.01, -0.266765]], "network.2.bias": [0.126098, 0.25859, 0.042134, -0.61384, 0.306242, -0.139893], "network.4.weight": [[0.439813, 0.426277, 0.35034, -0.292563, -0.119688, -0.218854], [0.51716, -0.026711, -0.292087, -0.252552, -0.225957, -0.307335], [-0.440471, -0.046609, -0.264895, 0.486319, 0.733755, 0.687807], [-0.029916, -0.017084, -0.348023, -0.29847, 0.01826, -0.039854], [-0.003244, 0.787287, 0.167038, 0.428888, 0.187652, 0.55956], [-0.315229, -0.012436, -0.257133, 0.186588, 0.819649, 0.200327]], "network.4.bias": [-0.240468, 0.00413, 0.089305, -0.372981, 0.746934, 0.073712], "network.6.weight": [[-0.321962, 0.305906, -0.244277, -0.151065, -0.116105, 0.267848], [0.332749, 0.175034, -0.083185, 0.129126, -0.251249, -0.16727], [-0.322812, -0.07603, 0.100651, -0.246763, -0.096109, -0.331009], [-0.414659, -0.449359, 0.479077, -0.11739, 0.357328, 0.75026], [0.017693, 0.39393, -0.318348, -0.409886, 0.633968, -0.685974], [-0.369858, -0.160259, 0.145972, -0.137029, -0.254875, -0.018355]], "network.6.bias": [-0.119215, 0.020411, -0.401231, -0.16047, 0.469822, -0.266354], "network.8.weight": [[-0.25664, -0.187212, -0.170793, 0.297666, -0.154634, -0.134733], [-0.113226, 0.237217, 0.306526, 0.741168, -0.724086, 0.349174], [0.10648, -0.097177, 0.031828, -0.319584, -0.093248, -0.389258], [0.001408, -0.17843, -0.189361, 0.491117, -0.314991, -0.113424], [-0.172728, 0.124928, -0.082239, 0.049277, -0.676323, 0.003058], [-0.379526, -0.240835, 0.051997, 0.00776, -0.184908, 0.181075]], "network.8.bias": [-0.216018, 0.006926, -0.197009, -0.043828, -0.587359, -0.195391], "network.10.weight": [[-0.580644, -0.792678, -0.400645, -0.480356, -0.160003, 0.053585]], "network.10.bias": [0.68972]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7047151327133179, "train_acc": 0.47, "val_loss": 0.7039476037025452, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6886483430862427, "train_acc": 0.61, "val_loss": 0.6636061668395996, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6664813458919525, "train_acc": 0.595, "val_loss": 0.6313806176185608, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6066520810127258, "train_acc": 0.935, "val_loss": 0.5493608713150024, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5095454007387161, "train_acc": 0.925, "val_loss": 0.43645232915878296, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.42412158846855164, "train_acc": 0.89, "val_loss": 0.36713850498199463, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.34859699010849, "train_acc": 0.92, "val_loss": 0.3367868661880493, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3092360943555832, "train_acc": 0.955, "val_loss": 0.32411712408065796, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.29712511599063873, "train_acc": 0.96, "val_loss": 0.3001291751861572, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2693733870983124, "train_acc": 0.965, "val_loss": 0.27529677748680115, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2604859918355942, "train_acc": 0.96, "val_loss": 0.27375131845474243, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2441297397017479, "train_acc": 0.965, "val_loss": 0.27842196822166443, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.7039476037025452, "final_val_loss": 0.6636061668395996, "initial_val_acc": 0.36, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6313806176185608, "final_val_loss": 0.27842196822166443, "initial_val_acc": 0.84, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,989
|
{"target_pattern": "alternating", "degraded_accuracy": 0.7, "improved_accuracy": 0.9, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8357, "learning_rate": 0.06019849890353834, "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: 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.10.bias": [
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}
## Activation Signature
### 0
mean: [-2.220826, 0.055292, -1.041218, -1.975623, 4.688741, -2.141951]
std: [1.351404, 0.423700, 2.042546, 2.265998, 3.223530, 2.892234]
pca: [[0.257759, -0.189210, 0.444692, 0.673084, -0.409279, -0.281882, 0.000000, 0.000000, 0.000000, 0.000000], [0.004297, -0.094858, 0.129763, 0.458287, 0.867572, 0.106949, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234114, -0.458380, 0.720580, -0.401887, 0.027018, 0.231515, 0.000000, 0.000000, 0.000000, 0.000000], [0.555350, 0.106851, 0.207502, -0.414708, 0.273954, -0.624563, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235172, 0.848862, 0.467547, 0.041948, -0.005647, 0.061119, 0.000000, 0.000000, 0.000000, 0.000000], [0.717644, 0.114478, 0.067213, -0.040936, -0.063229, 0.679478, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.964929, 20.427289, 21.897857, 24.136002, 199.874347], [6.511780, 6.633214, 6.806086, 7.695515, 8.846287], [37.174146, 40.177269, 42.090163, 44.080510, 93.709584], [30.646818, 31.323272, 35.001345, 43.808918, 177.806054], [46.217499, 61.821363, 64.266888, 66.045389, 421.986692], [39.883001, 43.732421, 48.082212, 53.162328, 192.775601]]
### 2
mean: [-2.078393, 1.892277, -0.497409, 1.328750, -0.330792, 2.680937]
std: [1.318448, 1.793990, 0.706553, 1.569087, 0.709058, 2.286030]
pca: [[-0.404500, -0.129431, 0.266986, -0.073672, 0.859642, 0.062719, 0.000000, 0.000000, 0.000000, 0.000000], [0.536016, -0.304793, -0.142769, 0.523286, 0.329503, -0.465838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121386, -0.214091, 0.780673, 0.482663, -0.297239, 0.093085, 0.000000, 0.000000, 0.000000, 0.000000], [0.098941, 0.865118, 0.043106, 0.426883, 0.189213, 0.147962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117284, -0.305757, -0.447270, 0.436052, 0.023365, 0.708533, 0.000000, 0.000000, 0.000000, 0.000000], [0.714694, -0.050966, 0.311410, -0.339720, 0.166568, 0.496472, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.034509, 22.846861, 23.725903, 27.409280, 187.055402], [25.889702, 28.683946, 29.517576, 29.576073, 170.304887], [11.226899, 11.522188, 11.659845, 13.198321, 44.766826], [21.866012, 23.781076, 28.740735, 31.007494, 119.587476], [10.873086, 12.100455, 13.649290, 15.485673, 29.771291], [34.210985, 34.246127, 35.628535, 46.082788, 241.284365]]
### 4
mean: [1.879409, 2.103809, 1.475009, -1.802743, 2.711557, 3.086626]
std: [2.198905, 2.377717, 1.831208, 1.704608, 2.817069, 3.092762]
pca: [[0.406031, -0.137090, 0.011989, -0.478292, -0.338344, 0.687722, 0.000000, 0.000000, 0.000000, 0.000000], [0.435358, -0.192311, 0.610392, -0.269171, -0.131372, -0.557844, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094624, 0.747862, 0.498617, 0.213088, -0.320762, 0.186642, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175300, -0.604534, 0.343152, 0.583851, -0.299262, 0.235830, 0.000000, 0.000000, 0.000000, 0.000000], [0.525181, 0.061215, 0.202247, 0.344947, 0.694325, 0.280103, 0.000000, 0.000000, 0.000000, 0.000000], [0.574546, 0.125366, -0.469043, 0.439894, -0.440151, -0.216655, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.368060, 34.752342, 36.270443, 36.387228, 169.146833], [33.538128, 36.901068, 38.623032, 39.650973, 189.342851], [27.286294, 30.172820, 33.122523, 35.037357, 132.750863], [26.171129, 29.256453, 35.748733, 36.774401, 162.246871], [39.461400, 39.540625, 44.059332, 55.047810, 244.040161], [44.734525, 44.962310, 48.568897, 61.050690, 277.796314]]
### 6
mean: [-1.012246, 5.585227, 2.982419, 2.556544, -6.083270, -5.234608]
std: [3.200577, 5.940826, 3.881137, 2.912206, 7.055476, 4.400009]
pca: [[0.255169, 0.764783, 0.239378, 0.236462, -0.212081, 0.437952, 0.000000, 0.000000, 0.000000, 0.000000], [-0.509156, 0.185203, 0.491185, 0.469906, 0.230481, -0.437338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330065, -0.334274, 0.093062, 0.224847, 0.349768, 0.773152, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249023, -0.147336, 0.632896, -0.533952, -0.465118, 0.119508, 0.000000, 0.000000, 0.000000, 0.000000], [0.605227, -0.111650, 0.505144, -0.169655, 0.577380, -0.062562, 0.000000, 0.000000, 0.000000, 0.000000], [0.372014, -0.484659, 0.192475, 0.599024, -0.479438, -0.031209, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.798246, 49.064630, 49.408994, 60.551724, 91.102099], [85.863623, 89.652245, 94.593636, 110.427861, 502.670416], [54.976341, 61.599615, 61.957149, 66.464454, 268.417688], [41.018009, 46.783382, 47.599435, 49.042458, 230.088897], [102.716649, 108.893934, 112.927456, 128.140164, 547.494195], [63.879899, 64.078218, 68.925651, 88.146003, 471.114692]]
### 8
mean: [5.910039, -4.867763, 3.738264, -3.908737, -5.128859, -5.026663]
std: [6.473268, 4.382022, 4.315915, 5.105023, 6.837703, 6.592498]
pca: [[-0.463747, -0.292516, 0.601206, -0.154557, -0.310458, -0.466532, 0.000000, 0.000000, 0.000000, 0.000000], [0.303582, 0.822658, 0.271896, -0.055972, -0.106665, -0.377669, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309502, 0.138462, 0.318519, 0.060221, 0.882828, 0.023869, 0.000000, 0.000000, 0.000000, 0.000000], [0.366347, -0.083605, 0.581331, -0.389253, -0.057998, 0.604957, 0.000000, 0.000000, 0.000000, 0.000000], [0.489567, -0.354743, -0.144432, -0.505692, 0.327413, -0.500696, 0.000000, 0.000000, 0.000000, 0.000000], [0.472333, -0.292684, 0.323052, 0.749740, 0.047851, -0.149917, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.965667, 94.077409, 103.592752, 123.542311, 531.903554], [65.155431, 66.652117, 70.599248, 92.613899, 438.098657], [61.653564, 68.885481, 69.463966, 76.593857, 336.443711], [73.324954, 80.393010, 81.873389, 91.840793, 351.786342], [97.016870, 110.130540, 111.311534, 118.121176, 461.597271], [93.231369, 105.959965, 106.076386, 115.217364, 452.399662]]
### 10
mean: [-2.981390]
std: [5.096475]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.907853, 81.831071, 83.695079, 85.228934, 268.325098]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-2.220826, 0.055292, -1.041218, -1.975623, 4.688741, -2.141951]
std: [1.351404, 0.423700, 2.042546, 2.265998, 3.223530, 2.892234]
pca: [[0.257759, -0.189210, 0.444692, 0.673084, -0.409279, -0.281882, 0.000000, 0.000000, 0.000000, 0.000000], [0.004297, -0.094858, 0.129763, 0.458287, 0.867572, 0.106949, 0.000000, 0.000000, 0.000000, 0.000000], [-0.234114, -0.458380, 0.720580, -0.401887, 0.027018, 0.231515, 0.000000, 0.000000, 0.000000, 0.000000], [0.555350, 0.106851, 0.207502, -0.414708, 0.273954, -0.624563, 0.000000, 0.000000, 0.000000, 0.000000], [-0.235172, 0.848862, 0.467547, 0.041948, -0.005647, 0.061119, 0.000000, 0.000000, 0.000000, 0.000000], [0.717644, 0.114478, 0.067213, -0.040936, -0.063229, 0.679478, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.964929, 20.427289, 21.897857, 24.136002, 199.874347], [6.511780, 6.633214, 6.806086, 7.695515, 8.846287], [37.174146, 40.177269, 42.090163, 44.080510, 93.709584], [30.646818, 31.323272, 35.001345, 43.808918, 177.806054], [46.217499, 61.821363, 64.266888, 66.045389, 421.986692], [39.883001, 43.732421, 48.082212, 53.162328, 192.775601]]
### 2
mean: [-2.078393, 1.892277, -0.497409, 1.328750, -0.330792, 2.680937]
std: [1.318448, 1.793990, 0.706553, 1.569087, 0.709058, 2.286030]
pca: [[-0.404500, -0.129431, 0.266986, -0.073672, 0.859642, 0.062719, 0.000000, 0.000000, 0.000000, 0.000000], [0.536016, -0.304793, -0.142769, 0.523286, 0.329503, -0.465838, 0.000000, 0.000000, 0.000000, 0.000000], [-0.121386, -0.214091, 0.780673, 0.482663, -0.297239, 0.093085, 0.000000, 0.000000, 0.000000, 0.000000], [0.098941, 0.865118, 0.043106, 0.426883, 0.189213, 0.147962, 0.000000, 0.000000, 0.000000, 0.000000], [-0.117284, -0.305757, -0.447270, 0.436052, 0.023365, 0.708533, 0.000000, 0.000000, 0.000000, 0.000000], [0.714694, -0.050966, 0.311410, -0.339720, 0.166568, 0.496472, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[20.034509, 22.846861, 23.725903, 27.409280, 187.055402], [25.889702, 28.683946, 29.517576, 29.576073, 170.304887], [11.226899, 11.522188, 11.659845, 13.198321, 44.766826], [21.866012, 23.781076, 28.740735, 31.007494, 119.587476], [10.873086, 12.100455, 13.649290, 15.485673, 29.771291], [34.210985, 34.246127, 35.628535, 46.082788, 241.284365]]
### 4
mean: [1.879409, 2.103809, 1.475009, -1.802743, 2.711557, 3.086626]
std: [2.198905, 2.377717, 1.831208, 1.704608, 2.817069, 3.092762]
pca: [[0.406031, -0.137090, 0.011989, -0.478292, -0.338344, 0.687722, 0.000000, 0.000000, 0.000000, 0.000000], [0.435358, -0.192311, 0.610392, -0.269171, -0.131372, -0.557844, 0.000000, 0.000000, 0.000000, 0.000000], [-0.094624, 0.747862, 0.498617, 0.213088, -0.320762, 0.186642, 0.000000, 0.000000, 0.000000, 0.000000], [-0.175300, -0.604534, 0.343152, 0.583851, -0.299262, 0.235830, 0.000000, 0.000000, 0.000000, 0.000000], [0.525181, 0.061215, 0.202247, 0.344947, 0.694325, 0.280103, 0.000000, 0.000000, 0.000000, 0.000000], [0.574546, 0.125366, -0.469043, 0.439894, -0.440151, -0.216655, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.368060, 34.752342, 36.270443, 36.387228, 169.146833], [33.538128, 36.901068, 38.623032, 39.650973, 189.342851], [27.286294, 30.172820, 33.122523, 35.037357, 132.750863], [26.171129, 29.256453, 35.748733, 36.774401, 162.246871], [39.461400, 39.540625, 44.059332, 55.047810, 244.040161], [44.734525, 44.962310, 48.568897, 61.050690, 277.796314]]
### 6
mean: [-1.012246, 5.585227, 2.982419, 2.556544, -6.083270, -5.234608]
std: [3.200577, 5.940826, 3.881137, 2.912206, 7.055476, 4.400009]
pca: [[0.255169, 0.764783, 0.239378, 0.236462, -0.212081, 0.437952, 0.000000, 0.000000, 0.000000, 0.000000], [-0.509156, 0.185203, 0.491185, 0.469906, 0.230481, -0.437338, 0.000000, 0.000000, 0.000000, 0.000000], [-0.330065, -0.334274, 0.093062, 0.224847, 0.349768, 0.773152, 0.000000, 0.000000, 0.000000, 0.000000], [-0.249023, -0.147336, 0.632896, -0.533952, -0.465118, 0.119508, 0.000000, 0.000000, 0.000000, 0.000000], [0.605227, -0.111650, 0.505144, -0.169655, 0.577380, -0.062562, 0.000000, 0.000000, 0.000000, 0.000000], [0.372014, -0.484659, 0.192475, 0.599024, -0.479438, -0.031209, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[48.798246, 49.064630, 49.408994, 60.551724, 91.102099], [85.863623, 89.652245, 94.593636, 110.427861, 502.670416], [54.976341, 61.599615, 61.957149, 66.464454, 268.417688], [41.018009, 46.783382, 47.599435, 49.042458, 230.088897], [102.716649, 108.893934, 112.927456, 128.140164, 547.494195], [63.879899, 64.078218, 68.925651, 88.146003, 471.114692]]
### 8
mean: [5.910039, -4.867763, 3.738264, -3.908737, -5.128859, -5.026663]
std: [6.473268, 4.382022, 4.315915, 5.105023, 6.837703, 6.592498]
pca: [[-0.463747, -0.292516, 0.601206, -0.154557, -0.310458, -0.466532, 0.000000, 0.000000, 0.000000, 0.000000], [0.303582, 0.822658, 0.271896, -0.055972, -0.106665, -0.377669, 0.000000, 0.000000, 0.000000, 0.000000], [-0.309502, 0.138462, 0.318519, 0.060221, 0.882828, 0.023869, 0.000000, 0.000000, 0.000000, 0.000000], [0.366347, -0.083605, 0.581331, -0.389253, -0.057998, 0.604957, 0.000000, 0.000000, 0.000000, 0.000000], [0.489567, -0.354743, -0.144432, -0.505692, 0.327413, -0.500696, 0.000000, 0.000000, 0.000000, 0.000000], [0.472333, -0.292684, 0.323052, 0.749740, 0.047851, -0.149917, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[93.965667, 94.077409, 103.592752, 123.542311, 531.903554], [65.155431, 66.652117, 70.599248, 92.613899, 438.098657], [61.653564, 68.885481, 69.463966, 76.593857, 336.443711], [73.324954, 80.393010, 81.873389, 91.840793, 351.786342], [97.016870, 110.130540, 111.311534, 118.121176, 461.597271], [93.231369, 105.959965, 106.076386, 115.217364, 452.399662]]
### 10
mean: [-2.981390]
std: [5.096475]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[69.907853, 81.831071, 83.695079, 85.228934, 268.325098]]
## 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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"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": [[0.157533, -0.226255, -0.437222, -0.376131, -0.055317], [-0.043936, -0.000367, -0.18616, -0.01412, -0.039434], [-0.337335, 0.721373, -0.58284, -0.056506, -0.492353], [0.647763, -0.689305, -0.007354, -0.610223, 0.092381], [0.561977, 0.224976, 0.393358, 0.53297, 1.056533], [0.73207, -0.993428, 0.004364, -0.743404, 0.140893]], "network.0.bias": [-0.216457, 0.578418, 0.009973, -0.315648, 0.311772, 0.16858], "network.2.weight": [[0.503871, 0.522284, 0.153121, -0.090636, -0.393911, 0.441206], [0.436553, -0.238244, -0.168277, -0.654646, 0.493419, -0.860548], [-0.338976, 0.703629, -0.378712, -0.240485, -0.139787, -0.092898], [-0.525925, 0.244642, -0.458996, 0.506167, 0.169517, 0.986241], [0.562798, 0.183739, 0.503359, 0.197352, -0.111729, -0.452562], [0.115601, -0.725486, -0.699181, -0.814123, 0.64395, -0.619518]], "network.2.bias": [-0.401827, -0.017043, 0.213951, 0.269768, 0.174468, 0.180819], "network.4.weight": [[0.229334, 0.18968, 0.005186, -0.401178, -0.165769, 0.801172], [0.439907, 0.134249, -0.602451, -0.529677, -0.351565, 0.873681], [-0.453884, -0.54241, -0.728904, 1.039198, -0.481825, 0.139064], [-0.648879, 0.265026, -0.231214, -0.745225, 0.272309, -0.59485], [0.262542, 0.328336, -0.62178, -0.173584, -0.498538, 0.93566], [0.046838, 0.322528, -0.172529, -0.076988, -0.188951, 1.096371]], "network.4.bias": [-0.097026, 0.189989, 0.800959, 0.13819, -0.188723, -0.34734], "network.6.weight": [[-0.099768, -0.240556, 0.873057, 0.351368, -0.511609, -0.101887], [0.506032, 0.48641, -0.284171, -0.379312, 0.849042, 0.471215], [0.047918, 0.3504, -0.578332, -0.374968, 0.512728, 0.412064], [0.221422, 0.792335, -0.326824, -0.377266, 0.159012, 0.0497], [-0.739688, -0.518103, 0.438971, -0.083877, -0.604223, -0.858609], [-0.428032, -0.743381, -0.111847, -0.467421, -0.548743, -0.175494]], "network.6.bias": [0.276812, 0.032392, 0.175359, 0.169974, 0.321938, -0.47905], "network.8.weight": [[-0.245666, 0.440599, 0.649109, 0.59421, 0.052201, 0.330937], [-0.148137, -0.495074, -0.398461, -0.156807, -0.430641, -0.591109], [-0.373155, 0.436463, 0.224153, 0.263192, -0.078335, 0.209188], [0.217145, -0.750708, -0.419684, 0.371835, 0.411931, -0.393543], [0.483799, -0.682002, -0.777332, 0.149682, 0.570206, -0.249336], [0.331684, -0.776791, -0.231807, -0.271389, 0.685974, -0.62886]], "network.8.bias": [-0.257362, -0.004463, 0.042806, 0.490843, 0.430169, 0.45459], "network.10.weight": [[-0.433627, -0.172265, -0.380768, 0.258848, 0.576695, 0.238068]], "network.10.bias": [0.517603]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7037449777126312, "train_acc": 0.48, "val_loss": 0.6832324266433716, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6563399434089661, "train_acc": 0.565, "val_loss": 0.6784870624542236, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.656516820192337, "train_acc": 0.565, "val_loss": 0.6118882894515991, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6070443689823151, "train_acc": 0.67, "val_loss": 0.49663734436035156, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4771447479724884, "train_acc": 0.835, "val_loss": 0.4091530740261078, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3226422518491745, "train_acc": 0.89, "val_loss": 0.373983234167099, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.22231250256299973, "train_acc": 0.93, "val_loss": 0.5530614256858826, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.19836388528347015, "train_acc": 0.935, "val_loss": 0.8656991720199585, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.15343603491783142, "train_acc": 0.95, "val_loss": 1.0738369226455688, "val_acc": 0.9}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6832324266433716, "final_val_loss": 0.6118882894515991, "initial_val_acc": 0.52, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.49663734436035156, "final_val_loss": 1.0738369226455688, "initial_val_acc": 0.76, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.20000000000000007, "first_improvement_epoch": 2}}
|
9,990
|
{"target_pattern": "contains_abc", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9028, "learning_rate": 0.04736143209147625, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.611114,
0.612815,
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0.219032
],
[
0.107984,
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0.094228,
-0.04463,
0.180626,
0.224963,
0.259302
],
[
0.621058,
0.484277,
0.168896,
-0.753014,
0.722899,
0.01999,
0.684953
],
[
0.594372,
0.039758,
0.454534,
-0.574277,
0.736466,
-0.195719,
0.386657
],
[
-0.315609,
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0.103135,
0.558676,
-0.704926,
-0.57385,
-0.048114
]
],
"network.6.bias": [
0.648611,
-0.597053,
-0.153277,
-0.424214,
0.094333,
-0.015597,
0.644357
],
"network.8.weight": [
[
-0.597848,
0.960703,
0.322394,
0.343493,
-0.333189,
-0.388656,
-0.270321
],
[
0.193595,
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0.727027,
0.372219,
0.808918,
0.561516,
-0.496733
],
[
-0.091049,
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0.174606,
0.13605,
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],
[
0.050339,
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0.965432
],
[
0.435893,
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0.446303
],
[
0.12475,
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0.665153,
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],
[
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]
],
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"network.10.weight": [
[
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],
"network.10.bias": [
0.407513
]
}
## Activation Signature
### 0
mean: [2.253958, -0.594546, 0.497963, 2.769544, -2.037474, -1.761898, 0.490649]
std: [1.576490, 1.439409, 2.411254, 2.935489, 1.589149, 1.723085, 1.010577]
pca: [[0.243970, -0.406617, -0.012764, 0.785195, 0.230341, -0.262841, 0.190538, 0.000000, 0.000000, 0.000000], [-0.201764, 0.385028, 0.398251, -0.119706, 0.623722, -0.431629, 0.250555, 0.000000, 0.000000, 0.000000], [0.370918, 0.741262, 0.014850, 0.338443, -0.379453, -0.204852, -0.110620, 0.000000, 0.000000, 0.000000], [0.709976, 0.086987, -0.383568, -0.278516, 0.456669, 0.200182, 0.122691, 0.000000, 0.000000, 0.000000], [-0.335978, 0.256438, -0.374126, 0.179285, -0.069082, 0.318759, 0.736794, 0.000000, 0.000000, 0.000000], [-0.363721, 0.232853, -0.426664, 0.301604, 0.422916, 0.178143, -0.574357, 0.000000, 0.000000, 0.000000], [0.113800, 0.096946, 0.609816, 0.232199, 0.147484, 0.727483, -0.029603, 0.000000, 0.000000, 0.000000]]
fourier: [[23.654105, 23.866635, 29.924496, 32.372702, 202.856269], [24.283224, 25.817206, 27.200560, 30.477160, 53.509135], [37.175965, 37.971034, 41.961819, 44.816683, 54.814413], [46.704036, 48.828745, 49.598214, 53.245283, 249.258960], [25.410327, 26.207910, 29.751297, 30.293361, 183.372647], [26.541617, 26.818001, 30.347557, 33.826359, 158.570850], [15.822213, 20.417064, 20.625344, 21.931558, 44.158421]]
### 2
mean: [3.225397, -2.939956, -0.719419, 2.635309, 2.149032, -0.454076, -0.394363]
std: [3.030854, 2.564085, 0.609436, 2.648991, 2.305763, 1.082234, 0.494818]
pca: [[0.559896, 0.377782, -0.003508, -0.307107, -0.398358, 0.109442, 0.528019, 0.000000, 0.000000, 0.000000], [-0.473588, 0.062020, 0.527043, 0.115984, 0.181189, 0.281436, 0.607129, 0.000000, 0.000000, 0.000000], [-0.095243, 0.285396, -0.519937, 0.235179, 0.074841, 0.757156, -0.070341, 0.000000, 0.000000, 0.000000], [0.488940, -0.129450, 0.192451, 0.837813, 0.007438, -0.011935, 0.070814, 0.000000, 0.000000, 0.000000], [0.426163, 0.146967, 0.307832, -0.282565, 0.732127, 0.205526, -0.209597, 0.000000, 0.000000, 0.000000], [-0.167558, 0.805132, -0.083011, 0.234650, 0.188526, -0.475100, -0.021744, 0.000000, 0.000000, 0.000000], [-0.066379, 0.292214, 0.559634, 0.009463, -0.480909, 0.259667, -0.546100, 0.000000, 0.000000, 0.000000]]
fourier: [[52.236793, 53.368238, 59.587690, 60.322190, 290.285747], [43.865906, 45.283254, 51.862706, 54.683507, 264.596090], [10.777799, 10.985660, 12.285570, 13.351377, 64.747671], [46.561985, 51.006153, 51.766997, 55.592715, 237.177844], [37.946417, 42.276528, 46.613892, 46.615569, 193.412909], [15.796031, 19.546492, 23.485375, 24.049915, 40.866877], [7.516673, 7.550447, 8.914439, 10.871187, 35.492633]]
### 4
mean: [4.026869, -2.176079, 3.111914, -0.611348, -3.453320, -1.828551, 3.637301]
std: [4.405316, 1.495013, 3.342519, 1.336492, 3.350055, 1.334623, 4.137130]
pca: [[0.547808, 0.260712, 0.199721, 0.071597, 0.472377, 0.068725, 0.599215, 0.000000, 0.000000, 0.000000], [-0.185840, 0.111779, 0.324459, 0.098515, 0.635215, 0.374600, -0.542372, 0.000000, 0.000000, 0.000000], [0.415625, 0.168359, 0.432848, 0.141088, -0.147770, -0.622881, -0.426417, 0.000000, 0.000000, 0.000000], [-0.165369, -0.534237, 0.509442, 0.578748, -0.146839, 0.094320, 0.249612, 0.000000, 0.000000, 0.000000], [-0.416454, 0.295138, 0.606536, -0.527701, -0.171028, -0.027537, 0.251190, 0.000000, 0.000000, 0.000000], [-0.164745, 0.716091, -0.075163, 0.551152, -0.322949, 0.213435, 0.028357, 0.000000, 0.000000, 0.000000], [0.514494, -0.076743, 0.185510, -0.219262, -0.443190, 0.641687, -0.196816, 0.000000, 0.000000, 0.000000]]
fourier: [[73.802395, 80.979834, 88.506689, 89.734571, 362.418242], [25.831687, 27.409901, 29.922939, 30.688585, 195.847070], [55.812282, 61.246230, 67.225576, 67.971801, 280.072299], [21.687635, 25.523916, 27.601737, 27.968239, 55.021300], [58.204917, 61.111891, 66.103994, 68.145374, 310.798831], [23.167449, 23.602238, 26.194380, 26.240587, 164.569600], [70.000252, 75.597013, 83.085851, 84.275567, 327.357123]]
### 6
mean: [2.538870, -3.844607, 1.868470, 1.140312, 5.396351, 5.054029, -0.268645]
std: [1.918375, 3.516558, 2.519785, 1.936062, 6.326020, 5.872922, 1.428000]
pca: [[0.189252, -0.250666, 0.650771, -0.125603, 0.056380, 0.598517, 0.317287, 0.000000, 0.000000, 0.000000], [-0.346763, 0.658442, 0.320919, 0.377833, 0.397778, 0.151759, -0.138582, 0.000000, 0.000000, 0.000000], [0.248550, 0.392406, 0.218153, 0.040884, -0.230801, -0.478010, 0.673212, 0.000000, 0.000000, 0.000000], [0.191090, -0.060466, -0.519304, 0.155393, 0.629761, 0.197788, 0.479880, 0.000000, 0.000000, 0.000000], [0.624421, 0.146625, -0.124763, 0.578619, -0.332003, 0.274175, -0.229858, 0.000000, 0.000000, 0.000000], [0.579705, 0.031789, 0.257540, -0.270447, 0.505330, -0.354106, -0.377773, 0.000000, 0.000000, 0.000000], [-0.140308, -0.568747, 0.272668, 0.638518, 0.152121, -0.388033, 0.032814, 0.000000, 0.000000, 0.000000]]
fourier: [[31.847659, 34.751123, 38.779887, 38.799130, 228.498279], [58.540081, 63.206062, 70.957145, 71.448729, 346.014570], [41.599938, 46.230559, 50.465477, 51.606437, 168.162285], [32.127557, 35.176786, 39.144106, 39.333361, 102.628098], [104.874341, 115.349621, 127.516881, 128.940982, 485.671637], [97.280891, 106.922965, 118.439333, 119.510018, 454.862641], [23.421694, 24.178045, 26.514069, 28.239291, 29.454055]]
### 8
mean: [-4.729826, 9.213625, -5.035877, -2.302672, -2.323410, 7.435706, -2.151602]
std: [4.001995, 11.416123, 4.667505, 4.493576, 4.691419, 9.274524, 3.756123]
pca: [[-0.227004, 0.439274, -0.498289, -0.226712, -0.138362, 0.206153, 0.627832, 0.000000, 0.000000, 0.000000], [0.648035, -0.182405, -0.276399, 0.334136, 0.473548, 0.002633, 0.366718, 0.000000, 0.000000, 0.000000], [-0.264710, 0.581323, 0.180437, 0.260532, 0.649333, 0.189609, -0.184317, 0.000000, 0.000000, 0.000000], [-0.254884, -0.513487, -0.004999, -0.549795, 0.490382, 0.354132, 0.056402, 0.000000, 0.000000, 0.000000], [-0.266288, -0.128419, 0.597584, 0.143798, 0.064578, -0.338349, 0.645109, 0.000000, 0.000000, 0.000000], [0.526442, 0.280240, 0.532813, -0.338355, -0.151168, 0.459132, 0.110891, 0.000000, 0.000000, 0.000000], [-0.213149, -0.277733, 0.041635, 0.575883, -0.259765, 0.686185, 0.075690, 0.000000, 0.000000, 0.000000]]
fourier: [[66.237297, 71.513946, 80.659461, 81.388273, 425.684386], [186.634411, 205.187275, 230.000250, 232.124526, 829.226293], [77.632902, 82.940128, 93.637444, 95.553623, 453.228913], [73.060045, 81.810516, 90.517361, 91.043073, 207.240509], [76.084477, 84.387061, 94.357402, 95.479027, 209.106899], [152.062916, 167.208240, 187.563313, 187.581413, 669.213595], [61.205385, 67.652318, 75.785300, 75.927264, 193.644158]]
### 10
mean: [-10.476649]
std: [14.996798]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[247.338026, 268.304377, 302.312349, 304.395009, 942.898409]]
## 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: 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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],
[
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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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"network.8.weight": [
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[
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]
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
mean: [2.253958, -0.594546, 0.497963, 2.769544, -2.037474, -1.761898, 0.490649]
std: [1.576490, 1.439409, 2.411254, 2.935489, 1.589149, 1.723085, 1.010577]
pca: [[0.243970, -0.406617, -0.012764, 0.785195, 0.230341, -0.262841, 0.190538, 0.000000, 0.000000, 0.000000], [-0.201764, 0.385028, 0.398251, -0.119706, 0.623722, -0.431629, 0.250555, 0.000000, 0.000000, 0.000000], [0.370918, 0.741262, 0.014850, 0.338443, -0.379453, -0.204852, -0.110620, 0.000000, 0.000000, 0.000000], [0.709976, 0.086987, -0.383568, -0.278516, 0.456669, 0.200182, 0.122691, 0.000000, 0.000000, 0.000000], [-0.335978, 0.256438, -0.374126, 0.179285, -0.069082, 0.318759, 0.736794, 0.000000, 0.000000, 0.000000], [-0.363721, 0.232853, -0.426664, 0.301604, 0.422916, 0.178143, -0.574357, 0.000000, 0.000000, 0.000000], [0.113800, 0.096946, 0.609816, 0.232199, 0.147484, 0.727483, -0.029603, 0.000000, 0.000000, 0.000000]]
fourier: [[23.654105, 23.866635, 29.924496, 32.372702, 202.856269], [24.283224, 25.817206, 27.200560, 30.477160, 53.509135], [37.175965, 37.971034, 41.961819, 44.816683, 54.814413], [46.704036, 48.828745, 49.598214, 53.245283, 249.258960], [25.410327, 26.207910, 29.751297, 30.293361, 183.372647], [26.541617, 26.818001, 30.347557, 33.826359, 158.570850], [15.822213, 20.417064, 20.625344, 21.931558, 44.158421]]
### 2
mean: [3.225397, -2.939956, -0.719419, 2.635309, 2.149032, -0.454076, -0.394363]
std: [3.030854, 2.564085, 0.609436, 2.648991, 2.305763, 1.082234, 0.494818]
pca: [[0.559896, 0.377782, -0.003508, -0.307107, -0.398358, 0.109442, 0.528019, 0.000000, 0.000000, 0.000000], [-0.473588, 0.062020, 0.527043, 0.115984, 0.181189, 0.281436, 0.607129, 0.000000, 0.000000, 0.000000], [-0.095243, 0.285396, -0.519937, 0.235179, 0.074841, 0.757156, -0.070341, 0.000000, 0.000000, 0.000000], [0.488940, -0.129450, 0.192451, 0.837813, 0.007438, -0.011935, 0.070814, 0.000000, 0.000000, 0.000000], [0.426163, 0.146967, 0.307832, -0.282565, 0.732127, 0.205526, -0.209597, 0.000000, 0.000000, 0.000000], [-0.167558, 0.805132, -0.083011, 0.234650, 0.188526, -0.475100, -0.021744, 0.000000, 0.000000, 0.000000], [-0.066379, 0.292214, 0.559634, 0.009463, -0.480909, 0.259667, -0.546100, 0.000000, 0.000000, 0.000000]]
fourier: [[52.236793, 53.368238, 59.587690, 60.322190, 290.285747], [43.865906, 45.283254, 51.862706, 54.683507, 264.596090], [10.777799, 10.985660, 12.285570, 13.351377, 64.747671], [46.561985, 51.006153, 51.766997, 55.592715, 237.177844], [37.946417, 42.276528, 46.613892, 46.615569, 193.412909], [15.796031, 19.546492, 23.485375, 24.049915, 40.866877], [7.516673, 7.550447, 8.914439, 10.871187, 35.492633]]
### 4
mean: [4.026869, -2.176079, 3.111914, -0.611348, -3.453320, -1.828551, 3.637301]
std: [4.405316, 1.495013, 3.342519, 1.336492, 3.350055, 1.334623, 4.137130]
pca: [[0.547808, 0.260712, 0.199721, 0.071597, 0.472377, 0.068725, 0.599215, 0.000000, 0.000000, 0.000000], [-0.185840, 0.111779, 0.324459, 0.098515, 0.635215, 0.374600, -0.542372, 0.000000, 0.000000, 0.000000], [0.415625, 0.168359, 0.432848, 0.141088, -0.147770, -0.622881, -0.426417, 0.000000, 0.000000, 0.000000], [-0.165369, -0.534237, 0.509442, 0.578748, -0.146839, 0.094320, 0.249612, 0.000000, 0.000000, 0.000000], [-0.416454, 0.295138, 0.606536, -0.527701, -0.171028, -0.027537, 0.251190, 0.000000, 0.000000, 0.000000], [-0.164745, 0.716091, -0.075163, 0.551152, -0.322949, 0.213435, 0.028357, 0.000000, 0.000000, 0.000000], [0.514494, -0.076743, 0.185510, -0.219262, -0.443190, 0.641687, -0.196816, 0.000000, 0.000000, 0.000000]]
fourier: [[73.802395, 80.979834, 88.506689, 89.734571, 362.418242], [25.831687, 27.409901, 29.922939, 30.688585, 195.847070], [55.812282, 61.246230, 67.225576, 67.971801, 280.072299], [21.687635, 25.523916, 27.601737, 27.968239, 55.021300], [58.204917, 61.111891, 66.103994, 68.145374, 310.798831], [23.167449, 23.602238, 26.194380, 26.240587, 164.569600], [70.000252, 75.597013, 83.085851, 84.275567, 327.357123]]
### 6
mean: [2.538870, -3.844607, 1.868470, 1.140312, 5.396351, 5.054029, -0.268645]
std: [1.918375, 3.516558, 2.519785, 1.936062, 6.326020, 5.872922, 1.428000]
pca: [[0.189252, -0.250666, 0.650771, -0.125603, 0.056380, 0.598517, 0.317287, 0.000000, 0.000000, 0.000000], [-0.346763, 0.658442, 0.320919, 0.377833, 0.397778, 0.151759, -0.138582, 0.000000, 0.000000, 0.000000], [0.248550, 0.392406, 0.218153, 0.040884, -0.230801, -0.478010, 0.673212, 0.000000, 0.000000, 0.000000], [0.191090, -0.060466, -0.519304, 0.155393, 0.629761, 0.197788, 0.479880, 0.000000, 0.000000, 0.000000], [0.624421, 0.146625, -0.124763, 0.578619, -0.332003, 0.274175, -0.229858, 0.000000, 0.000000, 0.000000], [0.579705, 0.031789, 0.257540, -0.270447, 0.505330, -0.354106, -0.377773, 0.000000, 0.000000, 0.000000], [-0.140308, -0.568747, 0.272668, 0.638518, 0.152121, -0.388033, 0.032814, 0.000000, 0.000000, 0.000000]]
fourier: [[31.847659, 34.751123, 38.779887, 38.799130, 228.498279], [58.540081, 63.206062, 70.957145, 71.448729, 346.014570], [41.599938, 46.230559, 50.465477, 51.606437, 168.162285], [32.127557, 35.176786, 39.144106, 39.333361, 102.628098], [104.874341, 115.349621, 127.516881, 128.940982, 485.671637], [97.280891, 106.922965, 118.439333, 119.510018, 454.862641], [23.421694, 24.178045, 26.514069, 28.239291, 29.454055]]
### 8
mean: [-4.729826, 9.213625, -5.035877, -2.302672, -2.323410, 7.435706, -2.151602]
std: [4.001995, 11.416123, 4.667505, 4.493576, 4.691419, 9.274524, 3.756123]
pca: [[-0.227004, 0.439274, -0.498289, -0.226712, -0.138362, 0.206153, 0.627832, 0.000000, 0.000000, 0.000000], [0.648035, -0.182405, -0.276399, 0.334136, 0.473548, 0.002633, 0.366718, 0.000000, 0.000000, 0.000000], [-0.264710, 0.581323, 0.180437, 0.260532, 0.649333, 0.189609, -0.184317, 0.000000, 0.000000, 0.000000], [-0.254884, -0.513487, -0.004999, -0.549795, 0.490382, 0.354132, 0.056402, 0.000000, 0.000000, 0.000000], [-0.266288, -0.128419, 0.597584, 0.143798, 0.064578, -0.338349, 0.645109, 0.000000, 0.000000, 0.000000], [0.526442, 0.280240, 0.532813, -0.338355, -0.151168, 0.459132, 0.110891, 0.000000, 0.000000, 0.000000], [-0.213149, -0.277733, 0.041635, 0.575883, -0.259765, 0.686185, 0.075690, 0.000000, 0.000000, 0.000000]]
fourier: [[66.237297, 71.513946, 80.659461, 81.388273, 425.684386], [186.634411, 205.187275, 230.000250, 232.124526, 829.226293], [77.632902, 82.940128, 93.637444, 95.553623, 453.228913], [73.060045, 81.810516, 90.517361, 91.043073, 207.240509], [76.084477, 84.387061, 94.357402, 95.479027, 209.106899], [152.062916, 167.208240, 187.563313, 187.581413, 669.213595], [61.205385, 67.652318, 75.785300, 75.927264, 193.644158]]
### 10
mean: [-10.476649]
std: [14.996798]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[247.338026, 268.304377, 302.312349, 304.395009, 942.898409]]
## 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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.264396, 0.30362, -0.081727, 0.476214, 0.265744], [-0.300997, -0.50615, 0.412153, -0.213668, -0.034108], [0.954121, -0.434598, 0.235305, -0.451245, 0.171343], [1.0601, 0.592457, 0.291638, -0.110885, -0.041554], [-0.524962, -0.069754, -0.201163, -0.4852, 0.282505], [-0.68942, 0.023961, -0.104616, -0.509171, 0.398224], [0.292745, -0.451319, 0.31478, 0.286013, -0.085839]], "network.0.bias": [0.193423, 0.341671, 0.367365, 0.050557, -0.144815, -0.12834, -0.216265], "network.2.weight": [[0.306623, 0.229802, 0.706556, 0.568458, -0.042098, -0.129816, 0.027906], [-0.257445, -0.161581, -0.869101, -0.302423, -0.082693, 0.058158, -0.141583], [0.058299, -0.417537, 0.001993, -0.171776, 0.029454, 0.605881, -0.114473], [0.31048, 0.480626, 0.587739, 0.415109, 0.041699, -0.490434, 0.540643], [0.290031, 0.559498, 0.509924, 0.435048, 0.077522, -0.52941, -0.062569], [0.086488, -0.512294, -0.347107, -0.081173, 0.47863, 0.448598, -0.325691], [-0.070223, -0.040618, -0.387445, 0.124711, -0.247835, -0.016794, -0.008303]], "network.2.bias": [0.180868, -0.50813, -0.231171, -0.21859, -0.291407, 0.25955, -0.163943], "network.4.weight": [[0.467605, 0.390046, 0.085945, 0.530137, 0.645656, -0.367134, 0.299774], [-0.188029, 0.186146, 0.032881, -0.218673, -0.146802, -0.088749, 0.434576], [0.426828, -0.10407, -0.080099, 0.370701, 0.440164, -0.28545, 0.305206], [0.124216, -0.620672, -0.143076, -0.26995, -0.395217, 0.398001, 0.209421], [-0.492286, -0.225452, -0.437116, -0.491502, -0.22149, -0.079209, 0.172186], [-0.293903, 0.762974, -0.426146, 0.014187, -0.219385, -0.279514, 0.589492], [0.55418, -0.096353, 0.029002, 0.430388, 0.545048, -0.160607, -0.288279]], "network.4.bias": [-0.075736, -0.654528, -0.079998, 0.44835, -0.212404, -0.402659, -0.374783], "network.6.weight": [[0.275669, -0.62995, 0.247614, -0.048094, -0.260198, -0.357296, -0.018496], [-0.509699, 0.163499, 0.004563, -0.347742, -0.080055, 0.28799, -0.32159], [0.233706, 0.349541, 0.134697, -0.611114, 0.612815, -0.134479, 0.219032], [0.107984, 0.596992, 0.094228, -0.04463, 0.180626, 0.224963, 0.259302], [0.621058, 0.484277, 0.168896, -0.753014, 0.722899, 0.01999, 0.684953], [0.594372, 0.039758, 0.454534, -0.574277, 0.736466, -0.195719, 0.386657], [-0.315609, -0.584989, 0.103135, 0.558676, -0.704926, -0.57385, -0.048114]], "network.6.bias": [0.648611, -0.597053, -0.153277, -0.424214, 0.094333, -0.015597, 0.644357], "network.8.weight": [[-0.597848, 0.960703, 0.322394, 0.343493, -0.333189, -0.388656, -0.270321], [0.193595, 0.548047, 0.727027, 0.372219, 0.808918, 0.561516, -0.496733], [-0.091049, 0.313346, 0.174606, 0.13605, -0.697484, -0.155417, -0.399857], [0.050339, -0.653933, -0.587521, -0.626604, -0.145986, -0.127037, 0.965432], [0.435893, -0.927005, -0.656032, -0.44808, -0.251137, -0.230397, 0.446303], [0.12475, 0.305372, 0.44927, 0.076041, 0.578246, 0.665153, -0.745822], [0.230852, -0.118277, -0.497001, 0.038209, -0.418306, -0.049013, 0.4258]], "network.8.bias": [-0.372656, -0.143702, -0.596356, 0.546774, 0.731941, -0.070098, 0.558082], "network.10.weight": [[-0.483749, -0.684546, -0.516007, 0.615197, 0.672882, -0.708682, 0.383699]], "network.10.bias": [0.407513]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.688508003950119, "train_acc": 0.55, "val_loss": 0.6398870944976807, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6530618369579315, "train_acc": 0.55, "val_loss": 0.5515066981315613, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5554563999176025, "train_acc": 0.53, "val_loss": 0.5206224918365479, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4833737015724182, "train_acc": 0.85, "val_loss": 0.4028726816177368, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.366879403591156, "train_acc": 0.88, "val_loss": 0.3057488203048706, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2864976227283478, "train_acc": 0.9, "val_loss": 0.3465171456336975, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.23436523228883743, "train_acc": 0.905, "val_loss": 0.2087106704711914, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1920005828142166, "train_acc": 0.935, "val_loss": 0.3423055410385132, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1941719427704811, "train_acc": 0.945, "val_loss": 0.16622494161128998, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2065654993057251, "train_acc": 0.94, "val_loss": 0.4201153516769409, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.19133536517620087, "train_acc": 0.945, "val_loss": 0.14988380670547485, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20148363709449768, "train_acc": 0.91, "val_loss": 0.273986279964447, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6398870944976807, "final_val_loss": 0.5515066981315613, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5206224918365479, "final_val_loss": 0.273986279964447, "initial_val_acc": 0.78, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.3799999999999999, "first_improvement_epoch": 1}}
|
9,991
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.62, "improved_accuracy": 0.84, "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": 2800, "learning_rate": 0.05622603391897856, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [1.093473, 0.172045, -1.407842, -0.339423, -1.577906, -0.750461, -2.487521, -0.051094]
std: [1.472368, 1.385289, 1.157052, 1.224447, 1.391213, 1.501397, 1.543553, 1.631748]
pca: [[-0.147886, -0.502837, 0.582201, 0.128164, 0.342378, 0.067281, 0.189289, 0.460782, 0.000000, 0.000000], [-0.475295, 0.205742, -0.019419, -0.226727, 0.230105, 0.769250, -0.181281, -0.049253, 0.000000, 0.000000], [-0.235947, 0.442767, 0.046084, 0.149420, -0.043518, -0.291835, -0.527078, 0.599135, 0.000000, 0.000000], [0.117219, 0.205582, -0.372650, 0.665870, 0.551490, 0.093033, 0.218542, 0.034466, 0.000000, 0.000000], [-0.112446, 0.388262, 0.667324, 0.369123, -0.080435, -0.052568, 0.011824, -0.495644, 0.000000, 0.000000], [0.465436, 0.116212, 0.186591, -0.396017, 0.637288, -0.140477, -0.358081, -0.155327, 0.000000, 0.000000], [0.367429, 0.521500, 0.171806, -0.252335, -0.126261, 0.207883, 0.544337, 0.379979, 0.000000, 0.000000], [0.564389, -0.174078, 0.100091, 0.331218, -0.308620, 0.494158, -0.425523, 0.104546, 0.000000, 0.000000]]
fourier: [[25.107859, 25.206561, 30.629264, 32.838417, 98.412571], [22.168662, 22.843219, 23.155981, 23.742773, 24.452200], [18.358913, 18.430751, 19.743542, 21.038049, 126.705760], [19.388751, 23.772726, 24.366582, 24.471575, 30.548111], [23.463103, 23.789554, 26.085129, 26.244274, 142.011531], [22.068892, 22.477041, 27.698499, 29.868003, 67.541477], [24.985455, 26.682317, 28.582548, 31.149323, 223.876943], [25.718536, 25.815524, 27.156508, 27.859030, 29.882469]]
### 2
mean: [0.949258, 0.008363, 0.141017, -0.270484, 0.315813, -0.095744, -0.439288, 0.863298]
std: [1.042748, 1.134877, 0.596877, 0.634954, 0.583739, 0.619536, 0.392909, 0.905923]
pca: [[0.545238, -0.275681, 0.345206, -0.150137, 0.463564, 0.248079, 0.015974, -0.456418, 0.000000, 0.000000], [0.325696, 0.802547, 0.430126, -0.083079, -0.112371, -0.075194, -0.174523, 0.095870, 0.000000, 0.000000], [-0.319272, 0.004835, 0.498143, 0.073855, -0.338745, 0.016074, 0.640771, -0.344741, 0.000000, 0.000000], [-0.345047, -0.028058, 0.260519, 0.449448, -0.087435, 0.446856, -0.598022, -0.212902, 0.000000, 0.000000], [0.070092, -0.458224, 0.367314, -0.382635, -0.455460, -0.371744, -0.388283, 0.085948, 0.000000, 0.000000], [-0.333594, -0.036680, 0.372616, 0.205641, 0.621074, -0.536515, -0.043108, 0.175498, 0.000000, 0.000000], [-0.199440, -0.082392, 0.282892, -0.381780, 0.157621, 0.553764, 0.126483, 0.616567, 0.000000, 0.000000], [0.468691, -0.246991, 0.161303, 0.654710, -0.179070, 0.012947, 0.180135, 0.447188, 0.000000, 0.000000]]
fourier: [[19.404886, 19.450583, 21.546764, 22.642317, 85.433192], [16.039073, 16.732361, 16.852433, 18.813298, 20.500671], [10.232162, 10.803661, 12.070155, 12.691505, 13.522400], [10.984916, 11.427788, 12.966099, 13.690495, 24.343575], [7.567495, 7.975092, 11.919336, 12.589305, 28.423144], [9.293381, 10.927694, 12.527650, 12.893583, 13.388156], [6.174501, 6.852813, 7.589525, 8.643731, 39.535938], [16.305010, 17.487112, 19.400751, 19.801165, 77.696843]]
### 4
mean: [0.683946, 0.319997, 0.667319, 1.102876, -0.142622, 0.788569, 0.754256, 0.506522]
std: [1.096576, 0.469462, 0.701498, 1.329589, 0.759751, 1.192907, 1.222746, 0.790987]
pca: [[0.417438, 0.153774, -0.386976, 0.296465, -0.231877, -0.527154, -0.472065, -0.099769, 0.000000, 0.000000], [-0.178630, -0.004960, 0.749490, 0.075704, -0.240900, -0.340817, -0.304742, 0.365435, 0.000000, 0.000000], [0.269615, -0.030270, -0.164944, 0.130219, -0.290452, 0.595799, -0.210538, 0.631319, 0.000000, 0.000000], [0.486310, 0.404170, 0.247593, -0.524248, 0.410947, 0.108044, -0.287865, -0.024385, 0.000000, 0.000000], [-0.220119, 0.489351, -0.226368, 0.185680, 0.428107, -0.272953, 0.243960, 0.555939, 0.000000, 0.000000], [0.433203, -0.385393, 0.266286, 0.566942, 0.506545, 0.024247, 0.119575, -0.000812, 0.000000, 0.000000], [0.464124, -0.197622, 0.007629, -0.349749, -0.282724, -0.349117, 0.593146, 0.263656, 0.000000, 0.000000], [0.181988, 0.620494, 0.278919, 0.369268, -0.339359, 0.205740, 0.362571, -0.280644, 0.000000, 0.000000]]
fourier: [[19.849331, 21.065072, 23.790360, 23.897765, 61.555159], [8.251219, 8.752075, 10.608612, 10.665829, 28.799725], [12.552183, 12.638677, 15.522131, 16.002581, 60.058699], [25.744347, 26.486848, 26.865407, 28.039628, 99.258808], [11.665597, 12.836017, 14.192766, 14.612973, 15.357247], [19.629208, 20.515099, 25.367094, 27.210924, 70.971210], [20.763942, 21.429074, 27.092049, 27.841909, 67.883069], [11.993550, 12.599633, 14.975769, 17.264257, 45.586985]]
### 6
mean: [-0.143033, 2.073322, -0.091704, -0.384530, -0.676114, -0.025854, 1.848990, -1.271540]
std: [0.613306, 2.744166, 0.791292, 0.387426, 0.238522, 1.079090, 2.913204, 0.666565]
pca: [[-0.140461, 0.224304, 0.421729, -0.123673, -0.137675, 0.599327, -0.113308, 0.588067, 0.000000, 0.000000], [0.634564, 0.080746, 0.171256, -0.072614, -0.357316, 0.281716, 0.515554, -0.288744, 0.000000, 0.000000], [-0.180245, 0.365566, 0.493717, 0.565351, -0.032081, -0.410878, 0.312648, 0.053817, 0.000000, 0.000000], [-0.080823, 0.455074, -0.337424, 0.422674, 0.338917, 0.523521, -0.031892, -0.322354, 0.000000, 0.000000], [-0.052333, -0.194375, 0.386760, -0.291865, 0.766622, 0.091931, 0.335410, -0.126691, 0.000000, 0.000000], [-0.244508, 0.589488, -0.316097, -0.548579, -0.039836, -0.202561, 0.373889, 0.097225, 0.000000, 0.000000], [0.673410, 0.231912, -0.156095, 0.088688, 0.384942, -0.222962, -0.135403, 0.494245, 0.000000, 0.000000], [-0.150247, -0.404198, -0.401671, 0.295241, -0.001116, 0.139120, 0.593273, 0.440697, 0.000000, 0.000000]]
fourier: [[10.959609, 11.125491, 12.872948, 13.760058, 13.889023], [50.003359, 51.310611, 59.743561, 60.784850, 186.598988], [12.217357, 13.928525, 14.303122, 17.778377, 18.032747], [6.250210, 6.563317, 8.283937, 8.688718, 34.607658], [4.471998, 4.677672, 4.968920, 4.970978, 60.850220], [16.436911, 18.924636, 18.985214, 23.745016, 24.868698], [53.285610, 54.634626, 63.473827, 64.221661, 166.409097], [12.518033, 13.638608, 13.773509, 13.792215, 114.438618]]
### 8
mean: [1.203114, -0.615893, -0.273340, 0.151676, 1.462025, 1.626063, 1.351577, -0.066464]
std: [2.414495, 1.275200, 1.504386, 0.201296, 2.978191, 2.991186, 2.808684, 0.840637]
pca: [[0.401418, -0.467503, 0.201212, -0.222926, 0.148370, 0.631318, -0.312643, -0.108630, 0.000000, 0.000000], [-0.211979, 0.276285, 0.148546, 0.731844, 0.308827, 0.295297, -0.372026, 0.009607, 0.000000, 0.000000], [-0.250153, -0.184181, 0.757603, 0.105187, -0.097390, -0.022363, 0.406818, -0.378138, 0.000000, 0.000000], [-0.033393, -0.040348, -0.516678, 0.273561, -0.327576, 0.450878, 0.395655, -0.433964, 0.000000, 0.000000], [0.495337, 0.086458, -0.089903, 0.109984, 0.675880, -0.236502, 0.327317, -0.327267, 0.000000, 0.000000], [0.497471, -0.227164, 0.058146, 0.434831, -0.473848, -0.412866, -0.298641, -0.155832, 0.000000, 0.000000], [0.467057, 0.371733, 0.254281, 0.119858, -0.217879, 0.280662, 0.402736, 0.525556, 0.000000, 0.000000], [0.138775, 0.687235, 0.142851, -0.336553, -0.192364, 0.072694, -0.288597, -0.499197, 0.000000, 0.000000]]
fourier: [[44.667053, 45.781195, 52.453725, 52.624429, 108.280277], [23.757454, 24.078555, 27.624359, 27.750839, 55.430342], [27.124598, 27.710416, 28.468746, 33.009488, 33.185556], [3.579607, 3.699352, 4.494289, 4.509795, 13.650867], [54.620466, 56.393652, 65.296260, 65.541296, 131.582263], [55.062262, 56.757624, 65.390631, 65.439768, 146.345656], [51.173928, 53.030620, 61.754139, 62.165200, 121.641909], [14.672510, 14.729140, 15.520018, 18.745540, 19.186448]]
### 10
mean: [-3.001948]
std: [4.878770]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.883934, 93.600923, 103.602556, 106.132669, 270.175293]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.598816,
0.115013,
-0.146556
]
],
"network.8.bias": [
-0.42365,
0.090087,
0.350515,
0.304291,
-0.355138,
-0.346929,
-0.227315,
-0.25671
],
"network.10.weight": [
[
-0.44903,
0.275879,
0.425249,
0.166981,
-0.434468,
-0.609109,
-0.299084,
-0.223744
]
],
"network.10.bias": [
-0.023046
]
}
## Activation Signature
### 0
mean: [1.093473, 0.172045, -1.407842, -0.339423, -1.577906, -0.750461, -2.487521, -0.051094]
std: [1.472368, 1.385289, 1.157052, 1.224447, 1.391213, 1.501397, 1.543553, 1.631748]
pca: [[-0.147886, -0.502837, 0.582201, 0.128164, 0.342378, 0.067281, 0.189289, 0.460782, 0.000000, 0.000000], [-0.475295, 0.205742, -0.019419, -0.226727, 0.230105, 0.769250, -0.181281, -0.049253, 0.000000, 0.000000], [-0.235947, 0.442767, 0.046084, 0.149420, -0.043518, -0.291835, -0.527078, 0.599135, 0.000000, 0.000000], [0.117219, 0.205582, -0.372650, 0.665870, 0.551490, 0.093033, 0.218542, 0.034466, 0.000000, 0.000000], [-0.112446, 0.388262, 0.667324, 0.369123, -0.080435, -0.052568, 0.011824, -0.495644, 0.000000, 0.000000], [0.465436, 0.116212, 0.186591, -0.396017, 0.637288, -0.140477, -0.358081, -0.155327, 0.000000, 0.000000], [0.367429, 0.521500, 0.171806, -0.252335, -0.126261, 0.207883, 0.544337, 0.379979, 0.000000, 0.000000], [0.564389, -0.174078, 0.100091, 0.331218, -0.308620, 0.494158, -0.425523, 0.104546, 0.000000, 0.000000]]
fourier: [[25.107859, 25.206561, 30.629264, 32.838417, 98.412571], [22.168662, 22.843219, 23.155981, 23.742773, 24.452200], [18.358913, 18.430751, 19.743542, 21.038049, 126.705760], [19.388751, 23.772726, 24.366582, 24.471575, 30.548111], [23.463103, 23.789554, 26.085129, 26.244274, 142.011531], [22.068892, 22.477041, 27.698499, 29.868003, 67.541477], [24.985455, 26.682317, 28.582548, 31.149323, 223.876943], [25.718536, 25.815524, 27.156508, 27.859030, 29.882469]]
### 2
mean: [0.949258, 0.008363, 0.141017, -0.270484, 0.315813, -0.095744, -0.439288, 0.863298]
std: [1.042748, 1.134877, 0.596877, 0.634954, 0.583739, 0.619536, 0.392909, 0.905923]
pca: [[0.545238, -0.275681, 0.345206, -0.150137, 0.463564, 0.248079, 0.015974, -0.456418, 0.000000, 0.000000], [0.325696, 0.802547, 0.430126, -0.083079, -0.112371, -0.075194, -0.174523, 0.095870, 0.000000, 0.000000], [-0.319272, 0.004835, 0.498143, 0.073855, -0.338745, 0.016074, 0.640771, -0.344741, 0.000000, 0.000000], [-0.345047, -0.028058, 0.260519, 0.449448, -0.087435, 0.446856, -0.598022, -0.212902, 0.000000, 0.000000], [0.070092, -0.458224, 0.367314, -0.382635, -0.455460, -0.371744, -0.388283, 0.085948, 0.000000, 0.000000], [-0.333594, -0.036680, 0.372616, 0.205641, 0.621074, -0.536515, -0.043108, 0.175498, 0.000000, 0.000000], [-0.199440, -0.082392, 0.282892, -0.381780, 0.157621, 0.553764, 0.126483, 0.616567, 0.000000, 0.000000], [0.468691, -0.246991, 0.161303, 0.654710, -0.179070, 0.012947, 0.180135, 0.447188, 0.000000, 0.000000]]
fourier: [[19.404886, 19.450583, 21.546764, 22.642317, 85.433192], [16.039073, 16.732361, 16.852433, 18.813298, 20.500671], [10.232162, 10.803661, 12.070155, 12.691505, 13.522400], [10.984916, 11.427788, 12.966099, 13.690495, 24.343575], [7.567495, 7.975092, 11.919336, 12.589305, 28.423144], [9.293381, 10.927694, 12.527650, 12.893583, 13.388156], [6.174501, 6.852813, 7.589525, 8.643731, 39.535938], [16.305010, 17.487112, 19.400751, 19.801165, 77.696843]]
### 4
mean: [0.683946, 0.319997, 0.667319, 1.102876, -0.142622, 0.788569, 0.754256, 0.506522]
std: [1.096576, 0.469462, 0.701498, 1.329589, 0.759751, 1.192907, 1.222746, 0.790987]
pca: [[0.417438, 0.153774, -0.386976, 0.296465, -0.231877, -0.527154, -0.472065, -0.099769, 0.000000, 0.000000], [-0.178630, -0.004960, 0.749490, 0.075704, -0.240900, -0.340817, -0.304742, 0.365435, 0.000000, 0.000000], [0.269615, -0.030270, -0.164944, 0.130219, -0.290452, 0.595799, -0.210538, 0.631319, 0.000000, 0.000000], [0.486310, 0.404170, 0.247593, -0.524248, 0.410947, 0.108044, -0.287865, -0.024385, 0.000000, 0.000000], [-0.220119, 0.489351, -0.226368, 0.185680, 0.428107, -0.272953, 0.243960, 0.555939, 0.000000, 0.000000], [0.433203, -0.385393, 0.266286, 0.566942, 0.506545, 0.024247, 0.119575, -0.000812, 0.000000, 0.000000], [0.464124, -0.197622, 0.007629, -0.349749, -0.282724, -0.349117, 0.593146, 0.263656, 0.000000, 0.000000], [0.181988, 0.620494, 0.278919, 0.369268, -0.339359, 0.205740, 0.362571, -0.280644, 0.000000, 0.000000]]
fourier: [[19.849331, 21.065072, 23.790360, 23.897765, 61.555159], [8.251219, 8.752075, 10.608612, 10.665829, 28.799725], [12.552183, 12.638677, 15.522131, 16.002581, 60.058699], [25.744347, 26.486848, 26.865407, 28.039628, 99.258808], [11.665597, 12.836017, 14.192766, 14.612973, 15.357247], [19.629208, 20.515099, 25.367094, 27.210924, 70.971210], [20.763942, 21.429074, 27.092049, 27.841909, 67.883069], [11.993550, 12.599633, 14.975769, 17.264257, 45.586985]]
### 6
mean: [-0.143033, 2.073322, -0.091704, -0.384530, -0.676114, -0.025854, 1.848990, -1.271540]
std: [0.613306, 2.744166, 0.791292, 0.387426, 0.238522, 1.079090, 2.913204, 0.666565]
pca: [[-0.140461, 0.224304, 0.421729, -0.123673, -0.137675, 0.599327, -0.113308, 0.588067, 0.000000, 0.000000], [0.634564, 0.080746, 0.171256, -0.072614, -0.357316, 0.281716, 0.515554, -0.288744, 0.000000, 0.000000], [-0.180245, 0.365566, 0.493717, 0.565351, -0.032081, -0.410878, 0.312648, 0.053817, 0.000000, 0.000000], [-0.080823, 0.455074, -0.337424, 0.422674, 0.338917, 0.523521, -0.031892, -0.322354, 0.000000, 0.000000], [-0.052333, -0.194375, 0.386760, -0.291865, 0.766622, 0.091931, 0.335410, -0.126691, 0.000000, 0.000000], [-0.244508, 0.589488, -0.316097, -0.548579, -0.039836, -0.202561, 0.373889, 0.097225, 0.000000, 0.000000], [0.673410, 0.231912, -0.156095, 0.088688, 0.384942, -0.222962, -0.135403, 0.494245, 0.000000, 0.000000], [-0.150247, -0.404198, -0.401671, 0.295241, -0.001116, 0.139120, 0.593273, 0.440697, 0.000000, 0.000000]]
fourier: [[10.959609, 11.125491, 12.872948, 13.760058, 13.889023], [50.003359, 51.310611, 59.743561, 60.784850, 186.598988], [12.217357, 13.928525, 14.303122, 17.778377, 18.032747], [6.250210, 6.563317, 8.283937, 8.688718, 34.607658], [4.471998, 4.677672, 4.968920, 4.970978, 60.850220], [16.436911, 18.924636, 18.985214, 23.745016, 24.868698], [53.285610, 54.634626, 63.473827, 64.221661, 166.409097], [12.518033, 13.638608, 13.773509, 13.792215, 114.438618]]
### 8
mean: [1.203114, -0.615893, -0.273340, 0.151676, 1.462025, 1.626063, 1.351577, -0.066464]
std: [2.414495, 1.275200, 1.504386, 0.201296, 2.978191, 2.991186, 2.808684, 0.840637]
pca: [[0.401418, -0.467503, 0.201212, -0.222926, 0.148370, 0.631318, -0.312643, -0.108630, 0.000000, 0.000000], [-0.211979, 0.276285, 0.148546, 0.731844, 0.308827, 0.295297, -0.372026, 0.009607, 0.000000, 0.000000], [-0.250153, -0.184181, 0.757603, 0.105187, -0.097390, -0.022363, 0.406818, -0.378138, 0.000000, 0.000000], [-0.033393, -0.040348, -0.516678, 0.273561, -0.327576, 0.450878, 0.395655, -0.433964, 0.000000, 0.000000], [0.495337, 0.086458, -0.089903, 0.109984, 0.675880, -0.236502, 0.327317, -0.327267, 0.000000, 0.000000], [0.497471, -0.227164, 0.058146, 0.434831, -0.473848, -0.412866, -0.298641, -0.155832, 0.000000, 0.000000], [0.467057, 0.371733, 0.254281, 0.119858, -0.217879, 0.280662, 0.402736, 0.525556, 0.000000, 0.000000], [0.138775, 0.687235, 0.142851, -0.336553, -0.192364, 0.072694, -0.288597, -0.499197, 0.000000, 0.000000]]
fourier: [[44.667053, 45.781195, 52.453725, 52.624429, 108.280277], [23.757454, 24.078555, 27.624359, 27.750839, 55.430342], [27.124598, 27.710416, 28.468746, 33.009488, 33.185556], [3.579607, 3.699352, 4.494289, 4.509795, 13.650867], [54.620466, 56.393652, 65.296260, 65.541296, 131.582263], [55.062262, 56.757624, 65.390631, 65.439768, 146.345656], [51.173928, 53.030620, 61.754139, 62.165200, 121.641909], [14.672510, 14.729140, 15.520018, 18.745540, 19.186448]]
### 10
mean: [-3.001948]
std: [4.878770]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[90.883934, 93.600923, 103.602556, 106.132669, 270.175293]]
## 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": 0.6906392276287079, "train_acc": 0.54, "val_loss": 0.687674880027771, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6882382035255432, "train_acc": 0.54, "val_loss": 0.6412413716316223, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.647842288017273, "train_acc": 0.52, "val_loss": 0.42795857787132263, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4699326157569885, "train_acc": 0.73, "val_loss": 0.3511640131473541, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3491790443658829, "train_acc": 0.85, "val_loss": 0.4007076919078827, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.44743892550468445, "train_acc": 0.83, "val_loss": 0.4181566536426544, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.41174596548080444, "train_acc": 0.845, "val_loss": 0.49499428272247314, "val_acc": 0.76}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.687674880027771, "final_val_loss": 0.6412413716316223, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.42795857787132263, "final_val_loss": 0.49499428272247314, "initial_val_acc": 0.72, "final_val_acc": 0.76, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
9,992
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.84, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5157, "learning_rate": 0.06365758974196832, "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.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
mean: [4.279121, 0.037194, -0.356444, 1.910802, -1.580703, -2.665502, -0.274420, 2.220911]
std: [3.166324, 1.361380, 1.143701, 1.768915, 1.640803, 1.921559, 1.534798, 2.126320]
pca: [[0.801512, 0.034874, 0.069148, 0.017445, 0.323689, 0.492766, -0.050225, -0.034067, 0.000000, 0.000000], [0.200408, -0.310813, 0.268222, 0.145591, -0.310321, -0.064358, 0.240257, 0.782258, 0.000000, 0.000000], [0.110451, -0.275688, -0.350342, 0.120781, 0.229168, -0.198972, 0.798664, -0.210943, 0.000000, 0.000000], [0.028296, 0.506894, 0.373132, 0.107735, 0.557969, -0.481480, 0.091186, 0.199890, 0.000000, 0.000000], [-0.309188, -0.054645, 0.692978, -0.176629, 0.020587, 0.426995, 0.395523, -0.225418, 0.000000, 0.000000], [-0.454957, -0.129247, -0.261218, 0.297486, 0.524969, 0.447584, -0.082706, 0.369882, 0.000000, 0.000000], [0.039978, -0.390610, 0.311725, 0.736167, 0.018996, -0.168721, -0.251800, -0.338349, 0.000000, 0.000000], [-0.015297, 0.630052, -0.125227, 0.539135, -0.398374, 0.265526, 0.258638, -0.018773, 0.000000, 0.000000]]
fourier: [[50.428170, 55.379412, 62.458579, 63.355688, 385.120916], [18.940023, 19.503140, 25.373428, 26.558057, 28.098548], [16.089226, 16.597099, 18.613157, 19.521428, 32.079972], [25.681264, 26.566673, 27.444076, 28.274031, 171.972181], [21.729172, 22.388871, 23.931868, 38.737198, 142.263280], [29.398423, 32.454656, 33.926950, 39.242933, 239.895147], [23.545779, 24.697827, 25.345137, 25.628662, 26.852300], [30.118800, 31.894280, 38.229004, 38.378778, 199.881972]]
### 2
mean: [-0.021369, 2.882924, 2.080542, 2.177087, -0.940463, -1.664371, 1.952829, 2.188423]
std: [3.233495, 4.183962, 3.408921, 3.192778, 2.510820, 0.739599, 2.801275, 2.727813]
pca: [[-0.368325, 0.754441, 0.344465, -0.206017, 0.289629, -0.168089, 0.125569, 0.078422, 0.000000, 0.000000], [0.498555, 0.273240, 0.090277, 0.045935, 0.326426, 0.708161, -0.219672, 0.101099, 0.000000, 0.000000], [0.406905, 0.142628, 0.187580, -0.038986, -0.336829, 0.067319, 0.775500, -0.240817, 0.000000, 0.000000], [0.381136, 0.069090, -0.253656, 0.233683, 0.585630, -0.480877, 0.034006, -0.394527, 0.000000, 0.000000], [-0.295947, 0.252708, -0.421941, 0.731372, -0.053513, 0.198521, 0.257981, 0.163666, 0.000000, 0.000000], [-0.042332, -0.433081, 0.594358, 0.347572, 0.380671, -0.048254, 0.254664, 0.352829, 0.000000, 0.000000], [0.334056, 0.079006, -0.338005, -0.239450, 0.012392, -0.277157, 0.151986, 0.781352, 0.000000, 0.000000], [0.322450, 0.270889, 0.357942, 0.431591, -0.453009, -0.340477, -0.422979, 0.090546, 0.000000, 0.000000]]
fourier: [[47.180400, 51.939346, 55.911830, 63.554431, 68.575551], [66.864676, 76.336268, 78.525921, 91.187842, 259.463163], [55.206196, 62.245114, 64.620343, 74.719479, 187.248752], [53.711746, 58.497602, 58.502469, 70.914516, 195.937784], [43.472947, 45.115358, 45.417045, 52.202543, 84.641713], [11.248146, 11.587293, 12.728469, 15.504282, 149.793398], [46.846550, 51.269814, 52.798830, 61.784373, 175.754587], [43.288785, 50.283136, 51.224152, 60.760111, 196.958076]]
### 4
mean: [-0.371921, -1.856391, -2.015829, -1.447901, 1.356715, -1.735668, 3.193292, 1.250580]
std: [2.917779, 1.714357, 1.721767, 1.125316, 4.223846, 3.009886, 6.527598, 3.728835]
pca: [[-0.291623, -0.390531, 0.120954, 0.494511, 0.301137, -0.206309, 0.495667, 0.352615, 0.000000, 0.000000], [-0.168923, 0.333837, -0.151487, 0.625286, -0.065766, 0.636149, 0.017905, -0.191717, 0.000000, 0.000000], [-0.159587, 0.600750, -0.409163, -0.153798, -0.187679, -0.178599, 0.310212, 0.509127, 0.000000, 0.000000], [-0.103190, 0.400151, 0.647556, -0.054753, -0.151051, -0.175358, 0.447935, -0.390759, 0.000000, 0.000000], [0.424958, 0.376751, 0.261887, 0.004790, 0.716021, 0.129632, -0.092252, 0.266197, 0.000000, 0.000000], [-0.303013, 0.248941, -0.248270, 0.248375, 0.340194, -0.583983, -0.348565, -0.380287, 0.000000, 0.000000], [0.660164, -0.057860, -0.417690, 0.157372, 0.009315, -0.165541, 0.461124, -0.348538, 0.000000, 0.000000], [0.376938, 0.088066, 0.266442, 0.501344, -0.467383, -0.323820, -0.338339, 0.300078, 0.000000, 0.000000]]
fourier: [[45.030231, 51.334992, 53.416479, 54.139665, 64.353446], [30.475695, 32.306526, 32.598390, 36.278933, 167.075184], [30.698661, 31.456880, 33.901246, 34.377733, 181.424612], [20.701709, 21.017151, 21.842813, 22.312501, 130.311125], [75.333435, 76.307504, 78.654306, 94.120004, 122.104388], [50.946528, 55.968017, 56.562941, 65.399543, 156.210111], [113.623110, 119.841750, 124.362389, 143.503020, 287.396201], [65.719484, 67.540369, 70.154781, 81.886810, 112.552193]]
### 6
mean: [3.026631, -1.742066, -3.649865, -1.108990, -3.122612, 1.518777, 4.407623, 3.698431]
std: [4.834729, 1.708743, 3.661479, 0.748438, 4.631538, 3.145697, 6.742594, 5.850531]
pca: [[0.394467, 0.134834, -0.279771, -0.360569, 0.567286, 0.164987, -0.226358, 0.466543, 0.000000, 0.000000], [-0.136022, 0.339684, -0.004147, 0.795758, 0.405035, -0.106832, 0.094137, 0.220311, 0.000000, 0.000000], [-0.291328, 0.740546, -0.150256, -0.143188, -0.429696, 0.294318, -0.136480, 0.183715, 0.000000, 0.000000], [-0.056364, 0.259104, -0.517580, -0.244781, 0.147574, -0.444259, 0.550681, -0.281936, 0.000000, 0.000000], [-0.377729, -0.178418, 0.277271, -0.209205, 0.097184, 0.254503, 0.635783, 0.475821, 0.000000, 0.000000], [0.253502, 0.451406, 0.741345, -0.233367, 0.149523, -0.291548, 0.066218, -0.127175, 0.000000, 0.000000], [0.550395, -0.028844, -0.065716, 0.169044, -0.525252, -0.299477, 0.234662, 0.492642, 0.000000, 0.000000], [0.477460, 0.120245, -0.021322, 0.171860, 0.004931, 0.661754, 0.392879, -0.367812, 0.000000, 0.000000]]
fourier: [[80.197619, 91.438358, 92.824555, 104.110093, 272.396830], [31.823157, 31.999185, 32.848846, 33.267675, 156.785964], [68.098930, 68.529123, 70.492874, 71.033089, 328.487890], [12.763668, 13.166966, 13.176809, 15.142411, 99.809075], [77.427120, 87.424981, 88.782993, 99.869957, 281.035056], [54.731013, 57.829389, 60.129953, 69.048447, 136.689977], [112.851559, 127.538989, 129.174387, 143.406224, 396.686052], [96.941835, 110.517103, 112.167669, 125.434684, 332.858780]]
### 8
mean: [3.511706, 6.923988, -4.238734, 0.147886, -1.881315, -2.405530, -0.742539, -0.788787]
std: [4.508377, 8.722599, 5.040011, 0.817330, 2.025892, 2.701091, 0.748669, 1.539159]
pca: [[0.385521, -0.305338, -0.393736, 0.139870, 0.480536, -0.512736, -0.117274, -0.275653, 0.000000, 0.000000], [0.746122, 0.139205, 0.172045, 0.211464, -0.021606, 0.066651, 0.005025, 0.587088, 0.000000, 0.000000], [-0.431068, -0.214884, -0.456099, 0.270068, -0.103205, -0.209082, -0.053861, 0.655572, 0.000000, 0.000000], [0.067477, -0.565195, -0.153234, 0.220256, 0.176835, 0.751151, 0.064962, -0.065496, 0.000000, 0.000000], [-0.173266, -0.097459, 0.269157, -0.469141, 0.684948, -0.018174, 0.264563, 0.358420, 0.000000, 0.000000], [-0.230973, -0.180745, 0.664073, 0.616943, 0.163165, -0.189310, -0.165093, -0.051515, 0.000000, 0.000000], [-0.062832, 0.382387, -0.171368, 0.430542, 0.165366, 0.016312, 0.770425, -0.118035, 0.000000, 0.000000], [-0.130326, 0.577393, -0.202634, 0.167902, 0.451191, 0.297124, -0.536933, 0.015096, 0.000000, 0.000000]]
fourier: [[78.620558, 85.500659, 86.062337, 93.902932, 316.053542], [155.857552, 165.599143, 166.210010, 179.484358, 623.158958], [90.783206, 95.749793, 95.986960, 103.309519, 381.486057], [13.309725, 14.550825, 14.889973, 15.481995, 18.027660], [36.424926, 38.415729, 38.526843, 41.459810, 169.318388], [48.814920, 51.273200, 51.278685, 55.159229, 216.497673], [12.910460, 13.938391, 14.325542, 16.365621, 66.828541], [25.983964, 28.885751, 29.506657, 33.233828, 70.990875]]
### 10
mean: [1.052341, -2.776130, -3.981814, -1.636135, 4.186432, 3.266189, -0.620327, -3.696553]
std: [1.461367, 2.978866, 5.681295, 1.905747, 5.230343, 4.454859, 0.602609, 5.297739]
pca: [[-0.131831, 0.372050, 0.507505, 0.613021, -0.124200, 0.418853, 0.079426, 0.116926, 0.000000, 0.000000], [0.268906, -0.579286, 0.371711, 0.159451, 0.403987, 0.102393, 0.271934, -0.425307, 0.000000, 0.000000], [0.513292, -0.164547, -0.382998, 0.297982, 0.236290, 0.240539, -0.012332, 0.600109, 0.000000, 0.000000], [0.172177, 0.049019, -0.437245, 0.290695, -0.488657, -0.047228, 0.582881, -0.333913, 0.000000, 0.000000], [-0.472552, 0.128453, -0.216476, 0.357790, 0.565498, -0.430209, 0.272424, 0.078968, 0.000000, 0.000000], [-0.402477, -0.189378, -0.455269, 0.145652, 0.091022, 0.569301, -0.352735, -0.341837, 0.000000, 0.000000], [0.054110, -0.310692, 0.042232, 0.520644, -0.299613, -0.489233, -0.543099, -0.060134, 0.000000, 0.000000], [0.478513, 0.589605, -0.102387, 0.072014, 0.330013, -0.073864, -0.293679, -0.455093, 0.000000, 0.000000]]
fourier: [[26.600410, 27.571935, 27.695174, 29.539337, 94.710686], [54.423361, 56.487141, 56.487501, 60.373815, 249.851735], [101.361337, 107.753944, 108.243453, 116.858054, 358.363223], [33.708763, 36.116229, 36.354228, 39.394934, 147.252165], [93.362199, 99.292740, 99.701291, 107.771815, 376.778873], [78.910267, 84.637791, 85.040984, 92.263428, 293.957030], [11.269224, 11.351582, 11.478459, 11.778492, 55.829440], [92.793138, 100.559986, 101.262644, 110.229842, 332.689826]]
### 12
mean: [-2.101213]
std: [3.132609]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.763352, 59.657223, 60.046845, 65.648875, 189.109148]]
## 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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0.520616,
0.002669,
-0.299771,
-0.286831,
0.053826,
0.286782
]
],
"network.12.bias": [
0.085016
]
}
## Activation Signature
### 0
mean: [4.279121, 0.037194, -0.356444, 1.910802, -1.580703, -2.665502, -0.274420, 2.220911]
std: [3.166324, 1.361380, 1.143701, 1.768915, 1.640803, 1.921559, 1.534798, 2.126320]
pca: [[0.801512, 0.034874, 0.069148, 0.017445, 0.323689, 0.492766, -0.050225, -0.034067, 0.000000, 0.000000], [0.200408, -0.310813, 0.268222, 0.145591, -0.310321, -0.064358, 0.240257, 0.782258, 0.000000, 0.000000], [0.110451, -0.275688, -0.350342, 0.120781, 0.229168, -0.198972, 0.798664, -0.210943, 0.000000, 0.000000], [0.028296, 0.506894, 0.373132, 0.107735, 0.557969, -0.481480, 0.091186, 0.199890, 0.000000, 0.000000], [-0.309188, -0.054645, 0.692978, -0.176629, 0.020587, 0.426995, 0.395523, -0.225418, 0.000000, 0.000000], [-0.454957, -0.129247, -0.261218, 0.297486, 0.524969, 0.447584, -0.082706, 0.369882, 0.000000, 0.000000], [0.039978, -0.390610, 0.311725, 0.736167, 0.018996, -0.168721, -0.251800, -0.338349, 0.000000, 0.000000], [-0.015297, 0.630052, -0.125227, 0.539135, -0.398374, 0.265526, 0.258638, -0.018773, 0.000000, 0.000000]]
fourier: [[50.428170, 55.379412, 62.458579, 63.355688, 385.120916], [18.940023, 19.503140, 25.373428, 26.558057, 28.098548], [16.089226, 16.597099, 18.613157, 19.521428, 32.079972], [25.681264, 26.566673, 27.444076, 28.274031, 171.972181], [21.729172, 22.388871, 23.931868, 38.737198, 142.263280], [29.398423, 32.454656, 33.926950, 39.242933, 239.895147], [23.545779, 24.697827, 25.345137, 25.628662, 26.852300], [30.118800, 31.894280, 38.229004, 38.378778, 199.881972]]
### 2
mean: [-0.021369, 2.882924, 2.080542, 2.177087, -0.940463, -1.664371, 1.952829, 2.188423]
std: [3.233495, 4.183962, 3.408921, 3.192778, 2.510820, 0.739599, 2.801275, 2.727813]
pca: [[-0.368325, 0.754441, 0.344465, -0.206017, 0.289629, -0.168089, 0.125569, 0.078422, 0.000000, 0.000000], [0.498555, 0.273240, 0.090277, 0.045935, 0.326426, 0.708161, -0.219672, 0.101099, 0.000000, 0.000000], [0.406905, 0.142628, 0.187580, -0.038986, -0.336829, 0.067319, 0.775500, -0.240817, 0.000000, 0.000000], [0.381136, 0.069090, -0.253656, 0.233683, 0.585630, -0.480877, 0.034006, -0.394527, 0.000000, 0.000000], [-0.295947, 0.252708, -0.421941, 0.731372, -0.053513, 0.198521, 0.257981, 0.163666, 0.000000, 0.000000], [-0.042332, -0.433081, 0.594358, 0.347572, 0.380671, -0.048254, 0.254664, 0.352829, 0.000000, 0.000000], [0.334056, 0.079006, -0.338005, -0.239450, 0.012392, -0.277157, 0.151986, 0.781352, 0.000000, 0.000000], [0.322450, 0.270889, 0.357942, 0.431591, -0.453009, -0.340477, -0.422979, 0.090546, 0.000000, 0.000000]]
fourier: [[47.180400, 51.939346, 55.911830, 63.554431, 68.575551], [66.864676, 76.336268, 78.525921, 91.187842, 259.463163], [55.206196, 62.245114, 64.620343, 74.719479, 187.248752], [53.711746, 58.497602, 58.502469, 70.914516, 195.937784], [43.472947, 45.115358, 45.417045, 52.202543, 84.641713], [11.248146, 11.587293, 12.728469, 15.504282, 149.793398], [46.846550, 51.269814, 52.798830, 61.784373, 175.754587], [43.288785, 50.283136, 51.224152, 60.760111, 196.958076]]
### 4
mean: [-0.371921, -1.856391, -2.015829, -1.447901, 1.356715, -1.735668, 3.193292, 1.250580]
std: [2.917779, 1.714357, 1.721767, 1.125316, 4.223846, 3.009886, 6.527598, 3.728835]
pca: [[-0.291623, -0.390531, 0.120954, 0.494511, 0.301137, -0.206309, 0.495667, 0.352615, 0.000000, 0.000000], [-0.168923, 0.333837, -0.151487, 0.625286, -0.065766, 0.636149, 0.017905, -0.191717, 0.000000, 0.000000], [-0.159587, 0.600750, -0.409163, -0.153798, -0.187679, -0.178599, 0.310212, 0.509127, 0.000000, 0.000000], [-0.103190, 0.400151, 0.647556, -0.054753, -0.151051, -0.175358, 0.447935, -0.390759, 0.000000, 0.000000], [0.424958, 0.376751, 0.261887, 0.004790, 0.716021, 0.129632, -0.092252, 0.266197, 0.000000, 0.000000], [-0.303013, 0.248941, -0.248270, 0.248375, 0.340194, -0.583983, -0.348565, -0.380287, 0.000000, 0.000000], [0.660164, -0.057860, -0.417690, 0.157372, 0.009315, -0.165541, 0.461124, -0.348538, 0.000000, 0.000000], [0.376938, 0.088066, 0.266442, 0.501344, -0.467383, -0.323820, -0.338339, 0.300078, 0.000000, 0.000000]]
fourier: [[45.030231, 51.334992, 53.416479, 54.139665, 64.353446], [30.475695, 32.306526, 32.598390, 36.278933, 167.075184], [30.698661, 31.456880, 33.901246, 34.377733, 181.424612], [20.701709, 21.017151, 21.842813, 22.312501, 130.311125], [75.333435, 76.307504, 78.654306, 94.120004, 122.104388], [50.946528, 55.968017, 56.562941, 65.399543, 156.210111], [113.623110, 119.841750, 124.362389, 143.503020, 287.396201], [65.719484, 67.540369, 70.154781, 81.886810, 112.552193]]
### 6
mean: [3.026631, -1.742066, -3.649865, -1.108990, -3.122612, 1.518777, 4.407623, 3.698431]
std: [4.834729, 1.708743, 3.661479, 0.748438, 4.631538, 3.145697, 6.742594, 5.850531]
pca: [[0.394467, 0.134834, -0.279771, -0.360569, 0.567286, 0.164987, -0.226358, 0.466543, 0.000000, 0.000000], [-0.136022, 0.339684, -0.004147, 0.795758, 0.405035, -0.106832, 0.094137, 0.220311, 0.000000, 0.000000], [-0.291328, 0.740546, -0.150256, -0.143188, -0.429696, 0.294318, -0.136480, 0.183715, 0.000000, 0.000000], [-0.056364, 0.259104, -0.517580, -0.244781, 0.147574, -0.444259, 0.550681, -0.281936, 0.000000, 0.000000], [-0.377729, -0.178418, 0.277271, -0.209205, 0.097184, 0.254503, 0.635783, 0.475821, 0.000000, 0.000000], [0.253502, 0.451406, 0.741345, -0.233367, 0.149523, -0.291548, 0.066218, -0.127175, 0.000000, 0.000000], [0.550395, -0.028844, -0.065716, 0.169044, -0.525252, -0.299477, 0.234662, 0.492642, 0.000000, 0.000000], [0.477460, 0.120245, -0.021322, 0.171860, 0.004931, 0.661754, 0.392879, -0.367812, 0.000000, 0.000000]]
fourier: [[80.197619, 91.438358, 92.824555, 104.110093, 272.396830], [31.823157, 31.999185, 32.848846, 33.267675, 156.785964], [68.098930, 68.529123, 70.492874, 71.033089, 328.487890], [12.763668, 13.166966, 13.176809, 15.142411, 99.809075], [77.427120, 87.424981, 88.782993, 99.869957, 281.035056], [54.731013, 57.829389, 60.129953, 69.048447, 136.689977], [112.851559, 127.538989, 129.174387, 143.406224, 396.686052], [96.941835, 110.517103, 112.167669, 125.434684, 332.858780]]
### 8
mean: [3.511706, 6.923988, -4.238734, 0.147886, -1.881315, -2.405530, -0.742539, -0.788787]
std: [4.508377, 8.722599, 5.040011, 0.817330, 2.025892, 2.701091, 0.748669, 1.539159]
pca: [[0.385521, -0.305338, -0.393736, 0.139870, 0.480536, -0.512736, -0.117274, -0.275653, 0.000000, 0.000000], [0.746122, 0.139205, 0.172045, 0.211464, -0.021606, 0.066651, 0.005025, 0.587088, 0.000000, 0.000000], [-0.431068, -0.214884, -0.456099, 0.270068, -0.103205, -0.209082, -0.053861, 0.655572, 0.000000, 0.000000], [0.067477, -0.565195, -0.153234, 0.220256, 0.176835, 0.751151, 0.064962, -0.065496, 0.000000, 0.000000], [-0.173266, -0.097459, 0.269157, -0.469141, 0.684948, -0.018174, 0.264563, 0.358420, 0.000000, 0.000000], [-0.230973, -0.180745, 0.664073, 0.616943, 0.163165, -0.189310, -0.165093, -0.051515, 0.000000, 0.000000], [-0.062832, 0.382387, -0.171368, 0.430542, 0.165366, 0.016312, 0.770425, -0.118035, 0.000000, 0.000000], [-0.130326, 0.577393, -0.202634, 0.167902, 0.451191, 0.297124, -0.536933, 0.015096, 0.000000, 0.000000]]
fourier: [[78.620558, 85.500659, 86.062337, 93.902932, 316.053542], [155.857552, 165.599143, 166.210010, 179.484358, 623.158958], [90.783206, 95.749793, 95.986960, 103.309519, 381.486057], [13.309725, 14.550825, 14.889973, 15.481995, 18.027660], [36.424926, 38.415729, 38.526843, 41.459810, 169.318388], [48.814920, 51.273200, 51.278685, 55.159229, 216.497673], [12.910460, 13.938391, 14.325542, 16.365621, 66.828541], [25.983964, 28.885751, 29.506657, 33.233828, 70.990875]]
### 10
mean: [1.052341, -2.776130, -3.981814, -1.636135, 4.186432, 3.266189, -0.620327, -3.696553]
std: [1.461367, 2.978866, 5.681295, 1.905747, 5.230343, 4.454859, 0.602609, 5.297739]
pca: [[-0.131831, 0.372050, 0.507505, 0.613021, -0.124200, 0.418853, 0.079426, 0.116926, 0.000000, 0.000000], [0.268906, -0.579286, 0.371711, 0.159451, 0.403987, 0.102393, 0.271934, -0.425307, 0.000000, 0.000000], [0.513292, -0.164547, -0.382998, 0.297982, 0.236290, 0.240539, -0.012332, 0.600109, 0.000000, 0.000000], [0.172177, 0.049019, -0.437245, 0.290695, -0.488657, -0.047228, 0.582881, -0.333913, 0.000000, 0.000000], [-0.472552, 0.128453, -0.216476, 0.357790, 0.565498, -0.430209, 0.272424, 0.078968, 0.000000, 0.000000], [-0.402477, -0.189378, -0.455269, 0.145652, 0.091022, 0.569301, -0.352735, -0.341837, 0.000000, 0.000000], [0.054110, -0.310692, 0.042232, 0.520644, -0.299613, -0.489233, -0.543099, -0.060134, 0.000000, 0.000000], [0.478513, 0.589605, -0.102387, 0.072014, 0.330013, -0.073864, -0.293679, -0.455093, 0.000000, 0.000000]]
fourier: [[26.600410, 27.571935, 27.695174, 29.539337, 94.710686], [54.423361, 56.487141, 56.487501, 60.373815, 249.851735], [101.361337, 107.753944, 108.243453, 116.858054, 358.363223], [33.708763, 36.116229, 36.354228, 39.394934, 147.252165], [93.362199, 99.292740, 99.701291, 107.771815, 376.778873], [78.910267, 84.637791, 85.040984, 92.263428, 293.957030], [11.269224, 11.351582, 11.478459, 11.778492, 55.829440], [92.793138, 100.559986, 101.262644, 110.229842, 332.689826]]
### 12
mean: [-2.101213]
std: [3.132609]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[54.763352, 59.657223, 60.046845, 65.648875, 189.109148]]
## 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": 4.279121398925781, "std": 3.166323661804199, "pca": [0.8015122413635254, 0.03487437590956688, 0.06914833933115005, 0.017444638535380363, 0.32368865609169006, 0.4927663207054138, -0.05022532120347023, -0.03406650200486183, 0.0, 0.0], "fourier": [50.42816969829322, 55.379412129077245, 62.45857901850354, 63.35568780601471, 385.12091612815857]}, "1": {"mean": 0.037194136530160904, "std": 1.3613804578781128, "pca": [0.20040768384933472, -0.31081321835517883, 0.26822230219841003, 0.14559099078178406, -0.3103214502334595, -0.06435792148113251, 0.24025671184062958, 0.7822578549385071, 0.0, 0.0], "fourier": [18.940023280544995, 19.503139531749763, 25.373428023024246, 26.558056613558957, 28.098548118772776]}, "2": {"mean": -0.3564441204071045, "std": 1.1437008380889893, "pca": [0.1104506179690361, -0.2756882905960083, -0.35034236311912537, 0.12078139930963516, 0.22916823625564575, -0.1989717036485672, 0.798663854598999, 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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": [[0.942004, 0.495525, 0.28675, 0.056988, 0.728331], [0.405128, -0.243897, -0.259785, -0.011294, 0.55341], [0.111081, -0.001515, -0.067583, -0.445564, 0.404663], [0.002706, 0.09095, 0.482418, 0.626806, -0.56819], [0.010764, -0.610693, -0.345995, 0.449565, -0.379547], [-0.545103, -0.421816, -0.017397, -0.259782, -0.334902], [0.200637, -0.639543, -0.13143, 0.00969, 0.528988], [-0.532812, 0.471789, 0.731213, 0.415319, -0.433569]], "network.0.bias": [0.58442, -0.138188, 0.105659, 0.090604, -0.254493, -0.212034, 0.242631, 0.140943], "network.2.weight": [[-0.751403, -0.015595, 0.265699, 0.758463, 0.166235, 0.000617, 0.015988, 0.691616], [1.140009, 0.396228, 0.355983, -0.593543, -0.141855, 0.344136, -0.155935, -0.405154], [0.978791, -0.047667, 0.194311, -0.611731, -0.139973, 0.129166, 0.138781, -0.304346], [0.844713, 0.115516, 0.319924, -0.232344, -0.22093, -0.058391, 0.076261, -0.573754], [-0.679572, 0.14477, -0.298527, 0.589494, 0.695766, 0.310678, 0.199608, 0.319785], [-0.003328, -0.50541, -0.325578, -0.326662, -0.00171, -0.170801, -0.237134, -0.022222], [0.701641, 0.213105, 0.375477, -0.224915, -0.284949, -0.214313, 0.133804, -0.4368], [0.848475, -0.184831, -0.148481, -0.485081, -0.112644, -0.172593, 0.271127, -0.178401]], "network.2.bias": [-0.015932, -0.103198, -0.249811, 0.206802, -0.112943, -0.48035, 0.173654, -0.021531], "network.4.weight": [[0.634357, -0.180926, -0.252657, -0.233782, 0.24353, 0.285075, 0.038959, 0.049211], [0.015246, 0.107271, -0.172245, -0.020065, 0.000548, -0.351832, -0.432312, -0.163922], [-0.28789, -0.140413, 0.055415, -0.318804, 0.182513, -0.350137, -0.147716, -0.087839], [-0.037849, 0.050656, -0.323227, 0.136482, -0.162064, 0.165331, 0.063969, -0.386612], [-0.601884, 0.208325, -0.004192, 0.396141, -0.65211, -0.313432, 0.299173, 0.127287], [0.184472, -0.440652, 0.050413, -0.363575, 0.228721, 0.659674, -0.045709, 0.018957], [-0.732071, 0.64139, 0.490468, -0.021192, -0.583186, -0.322956, 0.306516, 0.241834], [-0.379418, 0.589995, 0.305487, 0.14177, -0.61477, 0.103458, 0.046311, -0.324425]], "network.4.bias": [0.256287, -0.4201, -0.122302, -0.247716, -0.085248, 0.141192, 0.012678, -0.256712], "network.6.weight": [[-0.43779, 0.443101, 0.211835, -0.210297, 0.47058, -0.081086, 0.59422, -0.074955], [0.129048, 0.240406, 0.275074, -0.308251, 0.17207, -0.67143, -0.314688, -0.221726], [-0.207923, 0.05194, -0.351724, 0.219604, -0.122496, -0.311868, -0.45509, -0.376208], [-0.158162, -0.253003, 0.143861, -0.316535, 0.206473, 0.040924, -0.094992, -0.33283], [0.398019, 0.055071, -0.25201, 0.083086, -0.562439, 0.269508, -0.421556, -0.069552], [-0.410217, 0.124453, -0.062299, 0.191426, -0.118625, -0.545856, 0.451893, 0.167668], [-0.466572, -0.135155, -0.268759, -0.033938, 0.535655, -0.125476, 0.665901, 0.379759], [-0.429042, 0.252952, 0.192632, -0.096912, 0.508835, -0.322585, 0.601638, 0.201581]], "network.6.bias": [-0.089107, -0.191428, -0.234993, -0.348052, -0.256582, 0.101335, -0.107334, -0.05155], "network.8.weight": [[0.153939, 0.091173, -0.19498, -0.205167, -0.310764, -0.164701, 0.266781, 0.462718], [0.51931, -0.323126, -0.040816, -0.183688, -0.073534, 0.437541, 0.434856, 0.477704], [-0.435619, -0.194776, 0.011409, -0.081798, -0.06588, -0.412148, -0.082184, -0.292734], [-0.040227, -0.339022, 0.020223, 0.115155, -0.405587, -0.278238, 0.050475, 0.230097], [-0.176942, 0.182765, -0.317868, 0.317117, -0.008424, -0.028165, -0.386608, 0.233176], [-0.248363, -0.265759, 0.206609, 0.320442, -0.043344, 0.207051, -0.306373, -0.043549], [-0.190273, -0.230555, -0.343876, -0.012707, 0.266644, 0.106154, 0.020128, -0.039133], [-0.258631, -0.40513, 0.14946, 0.199729, 0.415737, 0.123686, -0.085736, -0.005527]], "network.8.bias": [0.148527, 0.020128, -0.160442, -0.192934, -0.275615, -0.245261, -0.336679, 0.141313], "network.10.weight": [[-0.310454, 0.310406, 0.302494, 0.278203, 0.273398, 0.248115, -0.250916, 0.167661], [-0.154149, -0.263046, -0.44666, -0.09926, 0.166315, -0.051489, -0.011225, -0.314897], [-0.316266, -0.457045, -0.25515, -0.463127, 0.200153, -0.000949, 0.08084, 0.144924], [-0.290974, -0.051459, -0.339402, -0.245094, 0.282915, 0.194069, 0.131229, 0.110535], [0.295992, 0.443667, 0.227547, 0.066777, 0.034307, 0.341403, -0.203746, -0.066599], [0.350385, 0.332394, 0.244707, -0.072552, -0.131163, 0.211008, -0.024604, -0.265709], [-0.298471, 0.085236, 0.121509, -0.093655, -0.264846, -0.026475, 0.004574, -0.226334], [-0.300555, -0.428868, 0.154508, -0.189177, 0.186123, 0.237848, -0.053606, 0.665629]], "network.10.bias": [-0.13374, -0.286243, 0.482224, -0.161689, 0.032633, -0.213343, -0.05372, 0.293532], "network.12.weight": [[-0.12085, 0.199813, 0.520616, 0.002669, -0.299771, -0.286831, 0.053826, 0.286782]], "network.12.bias": [0.085016]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881296634674072, "train_acc": 0.495, "val_loss": 0.6634706258773804, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.631074458360672, "train_acc": 0.56, "val_loss": 0.5777484774589539, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6291991174221039, "train_acc": 0.59, "val_loss": 0.6850705742835999, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6897087395191193, "train_acc": 0.545, "val_loss": 0.6990206837654114, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6848454177379608, "train_acc": 0.55, "val_loss": 0.6757785081863403, "val_acc": 0.58}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6607876420021057, "train_acc": 0.62, "val_loss": 0.608332633972168, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5855743885040283, "train_acc": 0.73, "val_loss": 0.48241734504699707, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5192797183990479, "train_acc": 0.735, "val_loss": 0.46632230281829834, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4768013656139374, "train_acc": 0.77, "val_loss": 0.4615273177623749, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.45252013206481934, "train_acc": 0.775, "val_loss": 0.4391802251338959, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4283602386713028, "train_acc": 0.785, "val_loss": 0.405597448348999, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4276107996702194, "train_acc": 0.785, "val_loss": 0.3955228328704834, "val_acc": 0.82}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6634706258773804, "final_val_loss": 0.5777484774589539, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6850705742835999, "final_val_loss": 0.3955228328704834, "initial_val_acc": 0.54, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 7}, "improvement": 0.29999999999999993, "first_improvement_epoch": 1}}
|
9,993
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.72, "improved_accuracy": 0.92, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1557, "learning_rate": 0.02789599899892678, "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:
{
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-0.287761,
0.015996
],
[
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],
[
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-0.084361
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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.4.weight": [
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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: [-0.395679, 0.570921, 1.030810, 1.177316, -1.055424, 0.504851, 0.717215]
std: [0.755128, 2.055445, 1.703966, 1.476524, 1.506028, 1.945407, 1.580622]
pca: [[0.069829, 0.109419, -0.255491, -0.293023, 0.852818, 0.259154, 0.193788, 0.000000, 0.000000, 0.000000], [0.354731, 0.799901, 0.188481, 0.120167, 0.121536, -0.303140, -0.278737, 0.000000, 0.000000, 0.000000], [0.350240, -0.335313, -0.437455, 0.663047, 0.220232, -0.199278, -0.213739, 0.000000, 0.000000, 0.000000], [-0.337630, 0.387344, -0.180533, 0.517027, -0.074249, 0.092638, 0.649590, 0.000000, 0.000000, 0.000000], [0.195124, -0.122690, 0.677153, 0.389715, 0.169604, 0.554657, -0.007129, 0.000000, 0.000000, 0.000000], [0.605030, 0.144495, -0.370050, -0.156803, -0.417397, 0.510366, 0.129777, 0.000000, 0.000000, 0.000000], [-0.478009, 0.223125, -0.282430, 0.127611, -0.030495, 0.473850, -0.632620, 0.000000, 0.000000, 0.000000]]
fourier: [[11.762684, 11.906214, 12.090004, 14.721737, 35.611148], [31.004996, 33.358467, 33.478858, 33.505901, 51.382874], [29.290854, 35.217168, 35.317628, 36.423915, 92.772931], [23.909991, 25.578112, 25.857627, 26.617343, 105.958430], [23.204747, 23.951060, 26.499250, 32.641707, 94.988185], [31.482565, 31.976882, 39.770815, 41.414926, 45.436557], [24.609508, 25.560682, 29.610828, 30.758548, 64.549390]]
### 2
mean: [-0.721033, 0.258178, -1.100743, 1.486702, -0.805633, 2.484563, -0.744357]
std: [0.383854, 1.115938, 0.552333, 1.760564, 1.801412, 2.177077, 1.579142]
pca: [[0.029134, -0.336437, -0.115848, 0.712359, 0.541999, 0.183882, 0.193677, 0.000000, 0.000000, 0.000000], [-0.243704, 0.667888, 0.090271, 0.496659, -0.358596, 0.302208, 0.140690, 0.000000, 0.000000, 0.000000], [-0.115600, -0.161734, 0.666060, -0.237139, 0.153362, 0.659371, -0.048140, 0.000000, 0.000000, 0.000000], [0.461118, 0.170718, 0.592496, 0.082943, 0.082905, -0.432044, 0.454709, 0.000000, 0.000000, 0.000000], [-0.474953, 0.214755, -0.191327, -0.374441, 0.389924, -0.016554, 0.631801, 0.000000, 0.000000, 0.000000], [0.563800, 0.514348, -0.253405, -0.179118, 0.438703, 0.300161, -0.196777, 0.000000, 0.000000, 0.000000], [-0.412692, 0.273423, 0.287963, 0.102330, 0.450280, -0.403801, -0.543805, 0.000000, 0.000000, 0.000000]]
fourier: [[6.132955, 6.402607, 6.734350, 7.027693, 64.892973], [16.796518, 18.080218, 21.213852, 22.647727, 23.236024], [8.336887, 8.380238, 10.387353, 11.811612, 99.066894], [29.487718, 30.673405, 32.029551, 33.719432, 133.803203], [30.577573, 31.074403, 34.498907, 35.184081, 72.506944], [35.289698, 37.400266, 43.454996, 43.999083, 223.610695], [26.672998, 27.910494, 30.967498, 31.884049, 66.992102]]
### 4
mean: [-0.527625, 2.565992, -0.594959, 2.418318, 0.679598, -0.688780, 1.675781]
std: [1.350890, 2.102099, 0.337388, 2.453779, 0.629259, 0.233298, 1.338165]
pca: [[-0.348372, 0.440187, -0.616957, 0.052173, -0.083683, 0.532678, 0.103763, 0.000000, 0.000000, 0.000000], [0.562188, 0.043203, 0.005776, -0.591019, -0.248274, 0.270932, 0.444631, 0.000000, 0.000000, 0.000000], [0.043360, -0.369605, 0.336232, 0.174425, -0.195809, 0.744397, -0.354355, 0.000000, 0.000000, 0.000000], [0.653930, 0.268417, -0.187749, 0.615234, -0.253513, -0.088211, -0.120481, 0.000000, 0.000000, 0.000000], [-0.068834, 0.718788, 0.658946, 0.051918, 0.140072, 0.125681, 0.079274, 0.000000, 0.000000, 0.000000], [-0.016410, -0.278248, 0.073610, 0.467117, 0.328171, 0.163957, 0.751075, 0.000000, 0.000000, 0.000000], [0.357870, 0.040439, -0.177204, -0.134698, 0.837514, 0.195612, -0.284701, 0.000000, 0.000000, 0.000000]]
fourier: [[22.636612, 24.243968, 25.561935, 25.818080, 47.486283], [36.091143, 37.057794, 39.974077, 41.910347, 230.939242], [5.040501, 5.146409, 5.249494, 6.646395, 53.546269], [42.428054, 43.143632, 47.154767, 47.248006, 217.648580], [9.599307, 9.652953, 9.992515, 10.717339, 61.163781], [3.434389, 4.238654, 4.269042, 4.310282, 61.990187], [23.519470, 23.567897, 25.827205, 26.177141, 150.820292]]
### 6
mean: [-0.941612, -1.852132, -2.452456, -0.491859, -2.415131, -0.485242, 4.861666]
std: [1.048326, 1.367859, 2.688451, 0.345822, 2.738484, 0.085474, 3.612061]
pca: [[-0.183447, -0.378250, 0.443065, -0.030092, 0.267326, 0.635962, -0.387493, 0.000000, 0.000000, 0.000000], [-0.239547, 0.492422, 0.024197, -0.362442, 0.500516, -0.308162, -0.471920, 0.000000, 0.000000, 0.000000], [-0.487379, -0.212523, -0.099499, 0.603010, 0.486634, -0.235278, 0.227172, 0.000000, 0.000000, 0.000000], [0.043402, 0.336875, 0.421033, 0.616431, -0.366310, -0.149206, -0.413436, 0.000000, 0.000000, 0.000000], [-0.493121, -0.481801, 0.036074, -0.267667, -0.455370, -0.426989, -0.249141, 0.000000, 0.000000, 0.000000], [-0.007828, 0.053631, 0.781059, -0.220266, 0.087027, -0.244144, 0.520876, 0.000000, 0.000000, 0.000000], [0.652927, -0.469880, 0.067712, 0.062919, 0.303464, -0.425493, -0.266872, 0.000000, 0.000000, 0.000000]]
fourier: [[18.096869, 18.652731, 19.653771, 20.552248, 84.745075], [22.323521, 23.986398, 25.980787, 26.403276, 166.691848], [47.388443, 49.945030, 50.736138, 52.324545, 220.721064], [5.644827, 5.962480, 5.971637, 6.427444, 44.267331], [48.435454, 51.031887, 52.068980, 52.652802, 217.361789], [1.429329, 1.459061, 1.471937, 1.785875, 43.671741], [62.289919, 62.291725, 69.284977, 70.983578, 437.549874]]
### 8
mean: [-2.784799]
std: [1.948568]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.325377, 35.933199, 37.566629, 37.792057, 250.631862]]
## 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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0.015996
],
[
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-0.242551,
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],
[
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0.361569,
-0.084361
],
[
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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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"network.6.weight": [
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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: [-0.395679, 0.570921, 1.030810, 1.177316, -1.055424, 0.504851, 0.717215]
std: [0.755128, 2.055445, 1.703966, 1.476524, 1.506028, 1.945407, 1.580622]
pca: [[0.069829, 0.109419, -0.255491, -0.293023, 0.852818, 0.259154, 0.193788, 0.000000, 0.000000, 0.000000], [0.354731, 0.799901, 0.188481, 0.120167, 0.121536, -0.303140, -0.278737, 0.000000, 0.000000, 0.000000], [0.350240, -0.335313, -0.437455, 0.663047, 0.220232, -0.199278, -0.213739, 0.000000, 0.000000, 0.000000], [-0.337630, 0.387344, -0.180533, 0.517027, -0.074249, 0.092638, 0.649590, 0.000000, 0.000000, 0.000000], [0.195124, -0.122690, 0.677153, 0.389715, 0.169604, 0.554657, -0.007129, 0.000000, 0.000000, 0.000000], [0.605030, 0.144495, -0.370050, -0.156803, -0.417397, 0.510366, 0.129777, 0.000000, 0.000000, 0.000000], [-0.478009, 0.223125, -0.282430, 0.127611, -0.030495, 0.473850, -0.632620, 0.000000, 0.000000, 0.000000]]
fourier: [[11.762684, 11.906214, 12.090004, 14.721737, 35.611148], [31.004996, 33.358467, 33.478858, 33.505901, 51.382874], [29.290854, 35.217168, 35.317628, 36.423915, 92.772931], [23.909991, 25.578112, 25.857627, 26.617343, 105.958430], [23.204747, 23.951060, 26.499250, 32.641707, 94.988185], [31.482565, 31.976882, 39.770815, 41.414926, 45.436557], [24.609508, 25.560682, 29.610828, 30.758548, 64.549390]]
### 2
mean: [-0.721033, 0.258178, -1.100743, 1.486702, -0.805633, 2.484563, -0.744357]
std: [0.383854, 1.115938, 0.552333, 1.760564, 1.801412, 2.177077, 1.579142]
pca: [[0.029134, -0.336437, -0.115848, 0.712359, 0.541999, 0.183882, 0.193677, 0.000000, 0.000000, 0.000000], [-0.243704, 0.667888, 0.090271, 0.496659, -0.358596, 0.302208, 0.140690, 0.000000, 0.000000, 0.000000], [-0.115600, -0.161734, 0.666060, -0.237139, 0.153362, 0.659371, -0.048140, 0.000000, 0.000000, 0.000000], [0.461118, 0.170718, 0.592496, 0.082943, 0.082905, -0.432044, 0.454709, 0.000000, 0.000000, 0.000000], [-0.474953, 0.214755, -0.191327, -0.374441, 0.389924, -0.016554, 0.631801, 0.000000, 0.000000, 0.000000], [0.563800, 0.514348, -0.253405, -0.179118, 0.438703, 0.300161, -0.196777, 0.000000, 0.000000, 0.000000], [-0.412692, 0.273423, 0.287963, 0.102330, 0.450280, -0.403801, -0.543805, 0.000000, 0.000000, 0.000000]]
fourier: [[6.132955, 6.402607, 6.734350, 7.027693, 64.892973], [16.796518, 18.080218, 21.213852, 22.647727, 23.236024], [8.336887, 8.380238, 10.387353, 11.811612, 99.066894], [29.487718, 30.673405, 32.029551, 33.719432, 133.803203], [30.577573, 31.074403, 34.498907, 35.184081, 72.506944], [35.289698, 37.400266, 43.454996, 43.999083, 223.610695], [26.672998, 27.910494, 30.967498, 31.884049, 66.992102]]
### 4
mean: [-0.527625, 2.565992, -0.594959, 2.418318, 0.679598, -0.688780, 1.675781]
std: [1.350890, 2.102099, 0.337388, 2.453779, 0.629259, 0.233298, 1.338165]
pca: [[-0.348372, 0.440187, -0.616957, 0.052173, -0.083683, 0.532678, 0.103763, 0.000000, 0.000000, 0.000000], [0.562188, 0.043203, 0.005776, -0.591019, -0.248274, 0.270932, 0.444631, 0.000000, 0.000000, 0.000000], [0.043360, -0.369605, 0.336232, 0.174425, -0.195809, 0.744397, -0.354355, 0.000000, 0.000000, 0.000000], [0.653930, 0.268417, -0.187749, 0.615234, -0.253513, -0.088211, -0.120481, 0.000000, 0.000000, 0.000000], [-0.068834, 0.718788, 0.658946, 0.051918, 0.140072, 0.125681, 0.079274, 0.000000, 0.000000, 0.000000], [-0.016410, -0.278248, 0.073610, 0.467117, 0.328171, 0.163957, 0.751075, 0.000000, 0.000000, 0.000000], [0.357870, 0.040439, -0.177204, -0.134698, 0.837514, 0.195612, -0.284701, 0.000000, 0.000000, 0.000000]]
fourier: [[22.636612, 24.243968, 25.561935, 25.818080, 47.486283], [36.091143, 37.057794, 39.974077, 41.910347, 230.939242], [5.040501, 5.146409, 5.249494, 6.646395, 53.546269], [42.428054, 43.143632, 47.154767, 47.248006, 217.648580], [9.599307, 9.652953, 9.992515, 10.717339, 61.163781], [3.434389, 4.238654, 4.269042, 4.310282, 61.990187], [23.519470, 23.567897, 25.827205, 26.177141, 150.820292]]
### 6
mean: [-0.941612, -1.852132, -2.452456, -0.491859, -2.415131, -0.485242, 4.861666]
std: [1.048326, 1.367859, 2.688451, 0.345822, 2.738484, 0.085474, 3.612061]
pca: [[-0.183447, -0.378250, 0.443065, -0.030092, 0.267326, 0.635962, -0.387493, 0.000000, 0.000000, 0.000000], [-0.239547, 0.492422, 0.024197, -0.362442, 0.500516, -0.308162, -0.471920, 0.000000, 0.000000, 0.000000], [-0.487379, -0.212523, -0.099499, 0.603010, 0.486634, -0.235278, 0.227172, 0.000000, 0.000000, 0.000000], [0.043402, 0.336875, 0.421033, 0.616431, -0.366310, -0.149206, -0.413436, 0.000000, 0.000000, 0.000000], [-0.493121, -0.481801, 0.036074, -0.267667, -0.455370, -0.426989, -0.249141, 0.000000, 0.000000, 0.000000], [-0.007828, 0.053631, 0.781059, -0.220266, 0.087027, -0.244144, 0.520876, 0.000000, 0.000000, 0.000000], [0.652927, -0.469880, 0.067712, 0.062919, 0.303464, -0.425493, -0.266872, 0.000000, 0.000000, 0.000000]]
fourier: [[18.096869, 18.652731, 19.653771, 20.552248, 84.745075], [22.323521, 23.986398, 25.980787, 26.403276, 166.691848], [47.388443, 49.945030, 50.736138, 52.324545, 220.721064], [5.644827, 5.962480, 5.971637, 6.427444, 44.267331], [48.435454, 51.031887, 52.068980, 52.652802, 217.361789], [1.429329, 1.459061, 1.471937, 1.785875, 43.671741], [62.289919, 62.291725, 69.284977, 70.983578, 437.549874]]
### 8
mean: [-2.784799]
std: [1.948568]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[35.325377, 35.933199, 37.566629, 37.792057, 250.631862]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.68829545378685, "train_acc": 0.55, "val_loss": 0.6694425344467163, "val_acc": 0.72}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687512695789337, "train_acc": 0.675, "val_loss": 0.6471688747406006, "val_acc": 0.7}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6536741852760315, "train_acc": 0.65, "val_loss": 0.612164318561554, "val_acc": 0.72}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6493504047393799, "train_acc": 0.68, "val_loss": 0.6007997989654541, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5885085463523865, "train_acc": 0.74, "val_loss": 0.5729538798332214, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5791632533073425, "train_acc": 0.78, "val_loss": 0.5522884130477905, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5440198481082916, "train_acc": 0.8, "val_loss": 0.5499793887138367, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5454903990030289, "train_acc": 0.765, "val_loss": 0.49675559997558594, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4786534309387207, "train_acc": 0.83, "val_loss": 0.4364717900753021, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.46212024986743927, "train_acc": 0.8, "val_loss": 0.3881916105747223, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.39632323384284973, "train_acc": 0.86, "val_loss": 0.38477057218551636, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3931451886892319, "train_acc": 0.85, "val_loss": 0.2596242129802704, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3368220925331116, "train_acc": 0.89, "val_loss": 0.22133325040340424, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6694425344467163, "final_val_loss": 0.612164318561554, "initial_val_acc": 0.72, "final_val_acc": 0.72, "best_val_acc": 0.72}, "improved_stage": {"initial_val_loss": 0.6007997989654541, "final_val_loss": 0.22133325040340424, "initial_val_acc": 0.74, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 12}, "improvement": 0.20000000000000007, "first_improvement_epoch": 2}}
|
9,994
|
{"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": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4079, "learning_rate": 0.030393593803858143, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
mean: [1.401842, 0.089399, 0.077919, -1.074451, 0.675656, 1.846428, 1.767032]
std: [2.040875, 1.096682, 1.916583, 0.909259, 1.776112, 1.571274, 1.788971]
pca: [[-0.475436, -0.387608, 0.655496, -0.059737, 0.429560, 0.064317, -0.042641, 0.000000, 0.000000, 0.000000], [0.233967, 0.051660, 0.336520, 0.743317, -0.067672, 0.093782, 0.513274, 0.000000, 0.000000, 0.000000], [0.503053, 0.037794, 0.457572, -0.435270, -0.250776, 0.531696, -0.032971, 0.000000, 0.000000, 0.000000], [-0.119740, -0.252054, -0.483657, 0.017602, 0.300341, 0.720832, 0.279453, 0.000000, 0.000000, 0.000000], [0.455656, 0.332054, 0.004024, -0.083451, 0.808819, -0.144384, 0.010111, 0.000000, 0.000000, 0.000000], [-0.291454, 0.606103, 0.085234, 0.322847, 0.026880, 0.403935, -0.521836, 0.000000, 0.000000, 0.000000], [-0.399064, 0.551825, 0.080629, -0.378083, -0.053797, -0.027552, 0.618979, 0.000000, 0.000000, 0.000000]]
fourier: [[29.362703, 32.290406, 34.015495, 39.258458, 126.165802], [16.031241, 16.735342, 16.887582, 16.940052, 22.195477], [27.613783, 28.614615, 30.597352, 34.325348, 37.194441], [14.346955, 14.943457, 17.148206, 17.407439, 96.700604], [26.045413, 26.198568, 29.979825, 30.053415, 60.809004], [22.953096, 28.000213, 30.435207, 33.999576, 166.178518], [28.181621, 29.798182, 36.024557, 41.571464, 159.032834]]
### 2
mean: [0.835580, 2.174234, -1.322431, 0.310774, 2.046118, 3.580587, 2.483005]
std: [1.106651, 2.471197, 0.686946, 1.354619, 2.339448, 2.087446, 1.098026]
pca: [[-0.174693, 0.558193, 0.285062, -0.482115, 0.376745, 0.262527, -0.365174, 0.000000, 0.000000, 0.000000], [0.578962, -0.056469, 0.046988, 0.292947, -0.090747, 0.681932, -0.316736, 0.000000, 0.000000, 0.000000], [-0.109289, -0.200040, 0.592972, 0.494761, 0.578686, -0.043547, 0.121909, 0.000000, 0.000000, 0.000000], [-0.293163, 0.345155, 0.186700, 0.495250, -0.465176, -0.238339, -0.491527, 0.000000, 0.000000, 0.000000], [0.546262, -0.151458, 0.023640, -0.154207, 0.215134, -0.609168, -0.486777, 0.000000, 0.000000, 0.000000], [0.461546, 0.443783, 0.470124, -0.073713, -0.295650, -0.163149, 0.499555, 0.000000, 0.000000, 0.000000], [0.158017, 0.553355, -0.555413, 0.403079, 0.406043, -0.098201, 0.152834, 0.000000, 0.000000, 0.000000]]
fourier: [[17.106833, 17.206730, 18.594129, 25.795436, 75.202214], [37.151808, 38.161946, 47.126780, 59.120925, 195.681104], [10.563740, 11.406576, 12.334505, 14.675318, 119.018748], [21.319104, 21.698011, 27.190112, 27.969698, 30.311901], [34.331414, 37.449718, 44.271840, 55.685170, 184.150574], [31.854361, 37.467729, 42.474686, 46.747806, 322.252824], [18.366242, 18.660462, 19.710387, 21.522009, 223.470466]]
### 4
mean: [4.739842, -1.883015, 4.541082, -1.972403, 2.371260, 2.987990, -1.458203]
std: [5.054553, 0.840189, 4.973985, 0.989258, 1.616969, 3.299858, 0.689302]
pca: [[0.632147, 0.098519, 0.551252, 0.044356, 0.001710, 0.028892, -0.532917, 0.000000, 0.000000, 0.000000], [-0.077515, -0.392410, 0.000337, 0.688409, -0.028352, 0.599798, -0.074419, 0.000000, 0.000000, 0.000000], [0.622354, -0.026537, -0.444806, 0.255780, 0.486820, -0.171658, 0.286766, 0.000000, 0.000000, 0.000000], [-0.113056, -0.275465, 0.243239, -0.465327, 0.699889, 0.378467, 0.050610, 0.000000, 0.000000, 0.000000], [-0.130549, 0.866543, 0.072575, 0.198359, 0.230190, 0.347685, 0.116509, 0.000000, 0.000000, 0.000000], [0.412970, -0.004533, 0.046228, -0.327638, -0.462137, 0.470782, 0.533616, 0.000000, 0.000000, 0.000000], [-0.081785, -0.093841, 0.657038, 0.309000, 0.076137, -0.352397, 0.572141, 0.000000, 0.000000, 0.000000]]
fourier: [[73.238153, 80.315667, 97.233007, 120.094809, 426.585820], [14.688108, 14.942656, 16.408800, 16.572650, 169.471338], [73.900210, 79.174342, 93.768889, 117.418276, 408.697359], [16.690502, 16.816636, 19.638645, 21.749691, 177.516261], [25.117996, 25.289203, 25.907944, 36.082966, 213.413412], [48.060450, 52.947057, 62.901010, 77.878208, 268.919033], [10.554602, 11.496239, 13.435798, 14.633702, 131.238310]]
### 6
mean: [-2.684654, 7.630666, -2.112584, -2.217507, -2.184913, 5.481662, -1.316899]
std: [1.901413, 9.557945, 1.531836, 0.976978, 1.980659, 7.375819, 3.467639]
pca: [[-0.143001, -0.490936, -0.282625, 0.138429, 0.657249, 0.300586, 0.342294, 0.000000, 0.000000, 0.000000], [0.737692, 0.099867, 0.067546, -0.173197, -0.062581, 0.071998, 0.634175, 0.000000, 0.000000, 0.000000], [-0.115127, -0.400645, 0.136992, 0.643128, -0.545665, -0.034226, 0.308102, 0.000000, 0.000000, 0.000000], [-0.069839, -0.420285, 0.603611, -0.299211, 0.205648, -0.561267, 0.085431, 0.000000, 0.000000, 0.000000], [-0.152525, -0.147928, 0.492788, -0.321739, -0.186916, 0.756063, -0.043921, 0.000000, 0.000000, 0.000000], [0.569214, -0.142470, 0.286853, 0.444377, 0.269578, 0.124577, -0.536424, 0.000000, 0.000000, 0.000000], [-0.264502, 0.608007, 0.455328, 0.383030, 0.341256, 0.033496, 0.297914, 0.000000, 0.000000, 0.000000]]
fourier: [[28.944408, 29.302058, 38.071776, 44.550480, 241.618857], [144.746758, 154.824987, 178.425143, 225.805384, 686.760016], [23.248946, 23.809737, 30.693222, 35.732979, 190.132518], [16.067001, 16.304050, 19.817622, 21.891910, 199.575606], [29.223625, 31.338748, 37.709203, 46.797018, 196.642206], [114.339566, 120.398978, 136.059547, 174.019144, 493.349560], [58.199633, 59.274001, 61.129643, 79.837906, 118.520898]]
### 8
mean: [-8.666204]
std: [12.141864]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[190.140711, 198.551223, 223.461878, 286.313682, 779.958434]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
mean: [1.401842, 0.089399, 0.077919, -1.074451, 0.675656, 1.846428, 1.767032]
std: [2.040875, 1.096682, 1.916583, 0.909259, 1.776112, 1.571274, 1.788971]
pca: [[-0.475436, -0.387608, 0.655496, -0.059737, 0.429560, 0.064317, -0.042641, 0.000000, 0.000000, 0.000000], [0.233967, 0.051660, 0.336520, 0.743317, -0.067672, 0.093782, 0.513274, 0.000000, 0.000000, 0.000000], [0.503053, 0.037794, 0.457572, -0.435270, -0.250776, 0.531696, -0.032971, 0.000000, 0.000000, 0.000000], [-0.119740, -0.252054, -0.483657, 0.017602, 0.300341, 0.720832, 0.279453, 0.000000, 0.000000, 0.000000], [0.455656, 0.332054, 0.004024, -0.083451, 0.808819, -0.144384, 0.010111, 0.000000, 0.000000, 0.000000], [-0.291454, 0.606103, 0.085234, 0.322847, 0.026880, 0.403935, -0.521836, 0.000000, 0.000000, 0.000000], [-0.399064, 0.551825, 0.080629, -0.378083, -0.053797, -0.027552, 0.618979, 0.000000, 0.000000, 0.000000]]
fourier: [[29.362703, 32.290406, 34.015495, 39.258458, 126.165802], [16.031241, 16.735342, 16.887582, 16.940052, 22.195477], [27.613783, 28.614615, 30.597352, 34.325348, 37.194441], [14.346955, 14.943457, 17.148206, 17.407439, 96.700604], [26.045413, 26.198568, 29.979825, 30.053415, 60.809004], [22.953096, 28.000213, 30.435207, 33.999576, 166.178518], [28.181621, 29.798182, 36.024557, 41.571464, 159.032834]]
### 2
mean: [0.835580, 2.174234, -1.322431, 0.310774, 2.046118, 3.580587, 2.483005]
std: [1.106651, 2.471197, 0.686946, 1.354619, 2.339448, 2.087446, 1.098026]
pca: [[-0.174693, 0.558193, 0.285062, -0.482115, 0.376745, 0.262527, -0.365174, 0.000000, 0.000000, 0.000000], [0.578962, -0.056469, 0.046988, 0.292947, -0.090747, 0.681932, -0.316736, 0.000000, 0.000000, 0.000000], [-0.109289, -0.200040, 0.592972, 0.494761, 0.578686, -0.043547, 0.121909, 0.000000, 0.000000, 0.000000], [-0.293163, 0.345155, 0.186700, 0.495250, -0.465176, -0.238339, -0.491527, 0.000000, 0.000000, 0.000000], [0.546262, -0.151458, 0.023640, -0.154207, 0.215134, -0.609168, -0.486777, 0.000000, 0.000000, 0.000000], [0.461546, 0.443783, 0.470124, -0.073713, -0.295650, -0.163149, 0.499555, 0.000000, 0.000000, 0.000000], [0.158017, 0.553355, -0.555413, 0.403079, 0.406043, -0.098201, 0.152834, 0.000000, 0.000000, 0.000000]]
fourier: [[17.106833, 17.206730, 18.594129, 25.795436, 75.202214], [37.151808, 38.161946, 47.126780, 59.120925, 195.681104], [10.563740, 11.406576, 12.334505, 14.675318, 119.018748], [21.319104, 21.698011, 27.190112, 27.969698, 30.311901], [34.331414, 37.449718, 44.271840, 55.685170, 184.150574], [31.854361, 37.467729, 42.474686, 46.747806, 322.252824], [18.366242, 18.660462, 19.710387, 21.522009, 223.470466]]
### 4
mean: [4.739842, -1.883015, 4.541082, -1.972403, 2.371260, 2.987990, -1.458203]
std: [5.054553, 0.840189, 4.973985, 0.989258, 1.616969, 3.299858, 0.689302]
pca: [[0.632147, 0.098519, 0.551252, 0.044356, 0.001710, 0.028892, -0.532917, 0.000000, 0.000000, 0.000000], [-0.077515, -0.392410, 0.000337, 0.688409, -0.028352, 0.599798, -0.074419, 0.000000, 0.000000, 0.000000], [0.622354, -0.026537, -0.444806, 0.255780, 0.486820, -0.171658, 0.286766, 0.000000, 0.000000, 0.000000], [-0.113056, -0.275465, 0.243239, -0.465327, 0.699889, 0.378467, 0.050610, 0.000000, 0.000000, 0.000000], [-0.130549, 0.866543, 0.072575, 0.198359, 0.230190, 0.347685, 0.116509, 0.000000, 0.000000, 0.000000], [0.412970, -0.004533, 0.046228, -0.327638, -0.462137, 0.470782, 0.533616, 0.000000, 0.000000, 0.000000], [-0.081785, -0.093841, 0.657038, 0.309000, 0.076137, -0.352397, 0.572141, 0.000000, 0.000000, 0.000000]]
fourier: [[73.238153, 80.315667, 97.233007, 120.094809, 426.585820], [14.688108, 14.942656, 16.408800, 16.572650, 169.471338], [73.900210, 79.174342, 93.768889, 117.418276, 408.697359], [16.690502, 16.816636, 19.638645, 21.749691, 177.516261], [25.117996, 25.289203, 25.907944, 36.082966, 213.413412], [48.060450, 52.947057, 62.901010, 77.878208, 268.919033], [10.554602, 11.496239, 13.435798, 14.633702, 131.238310]]
### 6
mean: [-2.684654, 7.630666, -2.112584, -2.217507, -2.184913, 5.481662, -1.316899]
std: [1.901413, 9.557945, 1.531836, 0.976978, 1.980659, 7.375819, 3.467639]
pca: [[-0.143001, -0.490936, -0.282625, 0.138429, 0.657249, 0.300586, 0.342294, 0.000000, 0.000000, 0.000000], [0.737692, 0.099867, 0.067546, -0.173197, -0.062581, 0.071998, 0.634175, 0.000000, 0.000000, 0.000000], [-0.115127, -0.400645, 0.136992, 0.643128, -0.545665, -0.034226, 0.308102, 0.000000, 0.000000, 0.000000], [-0.069839, -0.420285, 0.603611, -0.299211, 0.205648, -0.561267, 0.085431, 0.000000, 0.000000, 0.000000], [-0.152525, -0.147928, 0.492788, -0.321739, -0.186916, 0.756063, -0.043921, 0.000000, 0.000000, 0.000000], [0.569214, -0.142470, 0.286853, 0.444377, 0.269578, 0.124577, -0.536424, 0.000000, 0.000000, 0.000000], [-0.264502, 0.608007, 0.455328, 0.383030, 0.341256, 0.033496, 0.297914, 0.000000, 0.000000, 0.000000]]
fourier: [[28.944408, 29.302058, 38.071776, 44.550480, 241.618857], [144.746758, 154.824987, 178.425143, 225.805384, 686.760016], [23.248946, 23.809737, 30.693222, 35.732979, 190.132518], [16.067001, 16.304050, 19.817622, 21.891910, 199.575606], [29.223625, 31.338748, 37.709203, 46.797018, 196.642206], [114.339566, 120.398978, 136.059547, 174.019144, 493.349560], [58.199633, 59.274001, 61.129643, 79.837906, 118.520898]]
### 8
mean: [-8.666204]
std: [12.141864]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[190.140711, 198.551223, 223.461878, 286.313682, 779.958434]]
## 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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[16.067001176223506, 16.304049809620526, 19.817622147894298, 21.891910400764164, 199.57560646533966]}, "4": {"mean": -2.184913396835327, "std": 1.9806594848632812, "pca": [-0.1525246948003769, -0.1479283571243286, 0.4927879869937897, -0.3217387795448303, -0.18691645562648773, 0.7560626864433289, -0.043920714408159256, 0.0, 0.0, 0.0], "fourier": [29.223625105582162, 31.33874812107842, 37.709202707013254, 46.79701754439798, 196.64220559597015]}, "5": {"mean": 5.481661796569824, "std": 7.375818729400635, "pca": [0.5692137479782104, -0.14247041940689087, 0.28685298562049866, 0.444377064704895, 0.26957783102989197, 0.12457668036222458, -0.5364240407943726, 0.0, 0.0, 0.0], "fourier": [114.33956619524362, 120.3989782591942, 136.05954736676054, 174.01914425513496, 493.3495598360896]}, "6": {"mean": -1.3168988227844238, "std": 3.4676389694213867, "pca": [-0.26450231671333313, 0.6080070734024048, 0.4553275406360626, 0.38303008675575256, 0.34125620126724243, 0.033495962619781494, 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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": [[-0.671579, -0.172555, 0.382641, 0.105378, 0.810965], [-0.077066, 0.273563, -0.01031, 0.214471, -0.446199], [0.001677, 0.317366, 0.34865, -0.082896, -0.963331], [0.034662, -0.387242, -0.201542, -0.021335, 0.181357], [0.476575, 0.086698, 0.11069, 0.161563, -0.884976], [0.244799, 0.281113, -0.115126, 0.134649, 0.661519], [0.200676, 0.188581, 0.045606, -0.054491, 0.864831]], "network.0.bias": [0.526558, -0.201261, 0.135105, -0.168867, 0.438388, 0.165403, 0.12863], "network.2.weight": [[-0.068191, 0.238741, 0.394755, 0.200604, 0.533306, -0.055808, -0.062205], [0.508207, 0.285618, -0.365842, -0.01047, -0.201986, 0.218886, 0.779175], [-0.187461, 0.091374, -0.620655, -0.293376, 0.196465, 0.148992, -0.302305], [-0.080744, 0.288995, 0.244496, -0.085325, 0.325227, 0.110009, -0.567599], [0.391042, -0.148375, -0.22869, -0.10648, -0.315892, 0.402799, 0.583477], [0.424805, 0.475948, 0.040584, 0.307975, 0.119313, 0.533264, 0.508174], [0.610335, 0.023578, 0.590883, 0.268357, 0.351998, 0.045593, 0.119039]], "network.2.bias": [0.164296, -0.100552, -0.5244, 0.570991, 0.195789, 0.584839, 0.302702], "network.4.weight": [[-0.088507, 0.828545, 0.096241, -0.502358, 0.786053, 0.468727, -0.033852], [-0.236926, 0.203509, -0.180562, 0.181956, -0.203149, -0.246154, -0.36064], [-0.540308, 0.830345, -0.25612, -0.233646, 0.824145, 0.225173, 0.242198], [0.022312, -0.201175, 0.368291, -0.328231, -0.136925, -0.034806, -0.274758], [0.371525, -0.310652, 0.039988, 0.467397, -0.411364, 0.397922, 0.591823], [-0.171207, 0.273309, -0.039274, -0.35197, 0.79419, 0.234622, 0.084548], [0.240745, 0.211898, -0.139201, -0.065922, -0.355581, -0.00539, -0.375663]], "network.4.bias": [0.201511, -0.042178, 0.340441, -0.220541, 0.280812, 0.150919, -0.422045], "network.6.weight": [[-0.301656, 0.245342, -0.028247, -0.270816, -0.233139, -0.136475, 0.010366], [0.580027, -0.020342, 0.817685, -0.278613, -0.366247, 0.658803, -0.273782], [-0.068931, 0.334011, -0.079182, -0.212247, -0.215658, -0.299935, -0.225489], [-0.000699, -0.280238, -0.243169, 0.475176, -0.266614, 0.004038, 0.092733], [-0.033417, 0.340954, -0.335823, 0.06978, -0.029932, -0.052315, -0.321089], [0.540467, 0.313391, 0.641554, 0.354467, -0.449084, 0.294743, -0.153828], [0.132098, -0.186871, -0.466594, 0.153255, 0.536065, -0.359341, 0.297656]], "network.6.bias": [-0.16556, 0.068856, -0.018336, -0.489337, -0.274175, 0.191565, -0.022546], "network.8.weight": [[-0.190612, -0.724319, 0.143923, -0.018524, -0.089569, -0.679971, 0.537599]], "network.8.bias": [0.298037]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6826606392860413, "train_acc": 0.575, "val_loss": 0.6956163048744202, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6492156386375427, "train_acc": 0.575, "val_loss": 0.6656282544136047, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6110368072986603, "train_acc": 0.575, "val_loss": 0.6302395462989807, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.568841814994812, "train_acc": 0.5, "val_loss": 0.5563730597496033, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5038576722145081, "train_acc": 0.5, "val_loss": 0.5226113796234131, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49112704396247864, "train_acc": 0.5, "val_loss": 0.5312265157699585, "val_acc": 0.5}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4793348163366318, "train_acc": 0.58, "val_loss": 0.5166839361190796, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4594130218029022, "train_acc": 0.825, "val_loss": 0.4726864695549011, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4285649508237839, "train_acc": 0.835, "val_loss": 0.4061479866504669, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3957000970840454, "train_acc": 0.85, "val_loss": 0.368867963552475, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3496439605951309, "train_acc": 0.865, "val_loss": 0.31568995118141174, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31604571640491486, "train_acc": 0.86, "val_loss": 0.2414485514163971, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.31071169674396515, "train_acc": 0.875, "val_loss": 0.27353808283805847, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6956163048744202, "final_val_loss": 0.6302395462989807, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5563730597496033, "final_val_loss": 0.27353808283805847, "initial_val_acc": 0.5, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
9,995
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4315, "learning_rate": 0.06499790502013783, "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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0.343866
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[
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0.26494,
-0.206318,
0.348344,
0.228129
],
[
-0.52185,
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0.474284,
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0.647072
],
[
-0.384049,
0.223656,
-0.150232,
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-0.0918
]
],
"network.0.bias": [
0.004596,
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0.252837
],
"network.2.weight": [
[
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0.369481
],
[
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0.327857,
0.694709,
-0.182902,
0.185549,
0.721584
],
[
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0.668664
],
[
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],
[
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0.027605,
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0.797547
],
[
0.271446,
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]
],
"network.2.bias": [
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"network.4.weight": [
[
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[
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0.001651,
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0.368454
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[
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[
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0.093329
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[
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0.51472,
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[
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],
"network.4.bias": [
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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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[
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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: [-0.344525, -1.866194, 0.242737, 1.364156, -0.357532, 0.601335]
std: [2.174343, 1.460950, 1.533105, 1.178948, 2.056393, 1.325017]
pca: [[0.666391, 0.387839, -0.039202, -0.228369, -0.476239, -0.353570, 0.000000, 0.000000, 0.000000, 0.000000], [0.281492, 0.259138, 0.733463, 0.462486, 0.318938, 0.005163, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202417, 0.576466, -0.289136, -0.143052, 0.589413, -0.418620, 0.000000, 0.000000, 0.000000, 0.000000], [0.214066, -0.075859, -0.550535, 0.794808, -0.011886, -0.116064, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504259, 0.602260, 0.044233, 0.250519, -0.513079, 0.234606, 0.000000, 0.000000, 0.000000, 0.000000], [0.368255, 0.285734, -0.268048, -0.137877, 0.246325, 0.794486, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.349347, 37.040358, 37.075250, 37.786630, 43.218099], [24.305519, 26.302314, 26.830846, 27.737036, 167.957401], [22.776059, 24.083028, 24.584734, 27.605087, 28.936188], [16.573359, 16.714881, 20.330583, 24.191571, 122.774078], [28.195039, 31.385693, 32.177884, 33.235747, 51.042842], [19.857166, 20.890846, 21.138936, 25.966771, 54.120153]]
### 2
mean: [1.098057, 1.556366, 1.250967, -0.808522, 1.877840, 1.631447]
std: [1.290050, 1.580802, 1.386272, 0.850248, 1.751071, 1.614938]
pca: [[0.370618, -0.193785, 0.775458, 0.115953, 0.210124, -0.407624, 0.000000, 0.000000, 0.000000, 0.000000], [0.424809, 0.616814, -0.056360, 0.603564, 0.138589, 0.228922, 0.000000, 0.000000, 0.000000, 0.000000], [0.401906, -0.311335, -0.414779, -0.188565, 0.729226, 0.046625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170162, -0.509279, -0.284219, 0.738389, -0.076308, -0.282590, 0.000000, 0.000000, 0.000000, 0.000000], [0.527106, 0.116248, -0.363949, -0.202773, -0.464178, -0.565340, 0.000000, 0.000000, 0.000000, 0.000000], [0.462444, -0.460630, 0.101032, 0.019332, -0.428470, 0.616277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.094250, 21.360144, 23.442556, 28.181933, 98.825139], [23.083879, 23.612067, 26.139705, 32.169959, 140.072906], [22.104966, 22.378201, 23.463394, 28.661737, 112.587062], [13.318469, 14.182550, 14.367689, 14.791421, 72.766993], [27.509255, 27.691698, 29.565748, 38.454318, 169.005599], [26.792934, 27.046457, 28.770317, 33.573959, 146.830259]]
### 4
mean: [-0.465419, 4.679899, -1.725151, -2.501318, 2.314873, 4.875930]
std: [0.601947, 4.022450, 1.353883, 2.124020, 2.181138, 4.310206]
pca: [[-0.087919, -0.196562, 0.140463, -0.516234, 0.418863, 0.701399, 0.000000, 0.000000, 0.000000, 0.000000], [0.592094, -0.469297, -0.261075, -0.258217, 0.357187, -0.408371, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198315, -0.375155, 0.098894, 0.729497, 0.521807, 0.075503, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312216, 0.357229, 0.420235, -0.266071, 0.505906, -0.521130, 0.000000, 0.000000, 0.000000, 0.000000], [0.320562, -0.297510, 0.848854, 0.031479, -0.294942, -0.013882, 0.000000, 0.000000, 0.000000, 0.000000], [0.634135, 0.619885, 0.071966, 0.250750, 0.285932, 0.252594, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.524808, 9.571254, 10.316124, 13.214006, 41.887727], [60.443101, 64.059947, 69.365615, 89.899063, 421.190875], [20.989281, 21.890120, 23.131623, 29.718413, 155.263601], [31.666278, 33.387130, 37.005977, 47.785823, 225.118622], [33.280993, 35.636617, 36.376776, 47.505710, 208.338539], [63.763206, 69.753039, 73.429188, 94.925207, 438.833642]]
### 6
mean: [1.711699, 4.707836, -2.448140, 2.839538, -1.528909, 5.246742]
std: [1.770648, 4.224747, 2.164148, 2.818488, 1.302407, 4.812972]
pca: [[0.230773, 0.967454, 0.003885, -0.081654, 0.032229, 0.055281, 0.000000, 0.000000, 0.000000, 0.000000], [0.552659, -0.181853, -0.133707, 0.027897, 0.448777, 0.664410, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283057, 0.115435, 0.315008, 0.793049, -0.146556, 0.396129, 0.000000, 0.000000, 0.000000, 0.000000], [0.368550, -0.108230, 0.695936, -0.300346, -0.503415, 0.156511, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170104, 0.019686, 0.630970, -0.075183, 0.722717, -0.211145, 0.000000, 0.000000, 0.000000, 0.000000], [0.629624, -0.074407, 0.020658, 0.517464, 0.018310, -0.574027, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.974199, 28.362311, 29.802521, 39.031782, 154.052939], [63.200632, 67.885494, 72.482715, 93.884253, 423.705195], [32.326844, 34.615582, 37.461880, 48.376411, 220.332564], [42.483931, 45.866947, 47.379451, 61.790743, 255.558427], [19.251769, 20.475194, 23.018632, 29.528128, 137.601828], [72.101294, 77.441264, 82.298865, 106.746534, 472.206809]]
### 8
mean: [-0.152764, -1.472674, 6.632058, 5.767432, -4.425489, -1.899163]
std: [0.476046, 0.881264, 6.396688, 5.320888, 3.978260, 1.918069]
pca: [[-0.050046, -0.534623, -0.148417, 0.760822, 0.254931, -0.214021, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092909, 0.581491, 0.032462, 0.282090, 0.671352, 0.349133, 0.000000, 0.000000, 0.000000, 0.000000], [0.675277, 0.136315, 0.622211, 0.147442, 0.058267, -0.336359, 0.000000, 0.000000, 0.000000, 0.000000], [0.561708, -0.445178, -0.182465, -0.255758, 0.294311, 0.548613, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419940, -0.342094, 0.744519, -0.014990, 0.005699, 0.389944, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202481, -0.205553, 0.046580, -0.504181, 0.627894, -0.515879, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.100121, 7.521728, 8.102301, 10.503225, 13.748786], [13.170928, 14.269410, 14.849494, 19.342256, 132.540651], [95.695432, 102.886547, 108.314574, 141.117183, 596.885177], [79.606095, 85.624678, 90.406836, 117.647246, 519.068926], [59.523922, 63.825274, 68.108770, 88.452744, 398.294054], [28.698287, 30.798833, 32.646212, 42.491582, 170.924719]]
### 10
mean: [3.099017, -2.657998, -6.339289, 2.073668, 6.192025, 0.157646]
std: [3.012867, 2.351698, 5.686266, 2.140136, 6.221694, 0.442265]
pca: [[0.316828, -0.420277, 0.212109, 0.791329, 0.081613, -0.212452, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247304, -0.268266, 0.259685, -0.115304, 0.830433, 0.310682, 0.000000, 0.000000, 0.000000, 0.000000], [-0.597983, -0.208029, 0.132329, 0.286163, -0.450687, 0.544630, 0.000000, 0.000000, 0.000000, 0.000000], [0.225050, -0.301524, 0.754407, -0.440048, -0.301375, -0.069553, 0.000000, 0.000000, 0.000000, 0.000000], [0.654291, 0.070935, -0.105091, 0.006700, -0.027168, 0.745013, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046190, 0.782417, 0.538413, 0.291424, 0.095059, 0.042863, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.142162, 48.219870, 50.821498, 66.488860, 278.911482], [34.834703, 37.907185, 39.747268, 51.756133, 239.219774], [84.515447, 91.526937, 96.049659, 125.235658, 570.536024], [32.047463, 34.317366, 36.061107, 47.187580, 186.630166], [92.584551, 100.042310, 105.074920, 137.073963, 557.282265], [6.834313, 7.106072, 7.438476, 9.931562, 14.188152]]
### 12
mean: [-4.335601]
std: [4.598626]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.185619, 73.247293, 77.241329, 100.991772, 390.204132]]
## 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:
{
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0.188201,
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0.611335,
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],
[
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[
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-0.071717,
0.479697,
-0.02259,
0.343866
],
[
0.138401,
0.26494,
-0.206318,
0.348344,
0.228129
],
[
-0.52185,
-0.477224,
0.474284,
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0.647072
],
[
-0.384049,
0.223656,
-0.150232,
0.394467,
-0.0918
]
],
"network.0.bias": [
0.004596,
-0.400698,
-0.165049,
0.111754,
-0.030672,
0.252837
],
"network.2.weight": [
[
0.591016,
0.283049,
0.488486,
-0.449055,
0.700415,
0.369481
],
[
0.853355,
0.327857,
0.694709,
-0.182902,
0.185549,
0.721584
],
[
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0.104389,
0.664441,
0.078424,
0.709548,
0.668664
],
[
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0.00894,
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],
[
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0.736608,
0.027605,
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0.797547
],
[
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0.539987
]
],
"network.2.bias": [
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0.004395,
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0.106844
],
"network.4.weight": [
[
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],
[
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0.368454
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[
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0.03488,
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],
[
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0.208325,
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0.093329
],
[
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0.51472,
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0.521557,
0.247008
],
[
0.501372,
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0.782506,
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0.590793,
0.878321
]
],
"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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0.046492,
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0.074647,
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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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0.028909,
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],
[
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-0.352453,
-0.126483
],
[
-0.365282,
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0.127961,
0.08895
],
[
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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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-0.067345,
-0.670277,
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],
"network.12.bias": [
0.313426
]
}
## Activation Signature
### 0
mean: [-0.344525, -1.866194, 0.242737, 1.364156, -0.357532, 0.601335]
std: [2.174343, 1.460950, 1.533105, 1.178948, 2.056393, 1.325017]
pca: [[0.666391, 0.387839, -0.039202, -0.228369, -0.476239, -0.353570, 0.000000, 0.000000, 0.000000, 0.000000], [0.281492, 0.259138, 0.733463, 0.462486, 0.318938, 0.005163, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202417, 0.576466, -0.289136, -0.143052, 0.589413, -0.418620, 0.000000, 0.000000, 0.000000, 0.000000], [0.214066, -0.075859, -0.550535, 0.794808, -0.011886, -0.116064, 0.000000, 0.000000, 0.000000, 0.000000], [-0.504259, 0.602260, 0.044233, 0.250519, -0.513079, 0.234606, 0.000000, 0.000000, 0.000000, 0.000000], [0.368255, 0.285734, -0.268048, -0.137877, 0.246325, 0.794486, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[31.349347, 37.040358, 37.075250, 37.786630, 43.218099], [24.305519, 26.302314, 26.830846, 27.737036, 167.957401], [22.776059, 24.083028, 24.584734, 27.605087, 28.936188], [16.573359, 16.714881, 20.330583, 24.191571, 122.774078], [28.195039, 31.385693, 32.177884, 33.235747, 51.042842], [19.857166, 20.890846, 21.138936, 25.966771, 54.120153]]
### 2
mean: [1.098057, 1.556366, 1.250967, -0.808522, 1.877840, 1.631447]
std: [1.290050, 1.580802, 1.386272, 0.850248, 1.751071, 1.614938]
pca: [[0.370618, -0.193785, 0.775458, 0.115953, 0.210124, -0.407624, 0.000000, 0.000000, 0.000000, 0.000000], [0.424809, 0.616814, -0.056360, 0.603564, 0.138589, 0.228922, 0.000000, 0.000000, 0.000000, 0.000000], [0.401906, -0.311335, -0.414779, -0.188565, 0.729226, 0.046625, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170162, -0.509279, -0.284219, 0.738389, -0.076308, -0.282590, 0.000000, 0.000000, 0.000000, 0.000000], [0.527106, 0.116248, -0.363949, -0.202773, -0.464178, -0.565340, 0.000000, 0.000000, 0.000000, 0.000000], [0.462444, -0.460630, 0.101032, 0.019332, -0.428470, 0.616277, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[19.094250, 21.360144, 23.442556, 28.181933, 98.825139], [23.083879, 23.612067, 26.139705, 32.169959, 140.072906], [22.104966, 22.378201, 23.463394, 28.661737, 112.587062], [13.318469, 14.182550, 14.367689, 14.791421, 72.766993], [27.509255, 27.691698, 29.565748, 38.454318, 169.005599], [26.792934, 27.046457, 28.770317, 33.573959, 146.830259]]
### 4
mean: [-0.465419, 4.679899, -1.725151, -2.501318, 2.314873, 4.875930]
std: [0.601947, 4.022450, 1.353883, 2.124020, 2.181138, 4.310206]
pca: [[-0.087919, -0.196562, 0.140463, -0.516234, 0.418863, 0.701399, 0.000000, 0.000000, 0.000000, 0.000000], [0.592094, -0.469297, -0.261075, -0.258217, 0.357187, -0.408371, 0.000000, 0.000000, 0.000000, 0.000000], [-0.198315, -0.375155, 0.098894, 0.729497, 0.521807, 0.075503, 0.000000, 0.000000, 0.000000, 0.000000], [-0.312216, 0.357229, 0.420235, -0.266071, 0.505906, -0.521130, 0.000000, 0.000000, 0.000000, 0.000000], [0.320562, -0.297510, 0.848854, 0.031479, -0.294942, -0.013882, 0.000000, 0.000000, 0.000000, 0.000000], [0.634135, 0.619885, 0.071966, 0.250750, 0.285932, 0.252594, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[9.524808, 9.571254, 10.316124, 13.214006, 41.887727], [60.443101, 64.059947, 69.365615, 89.899063, 421.190875], [20.989281, 21.890120, 23.131623, 29.718413, 155.263601], [31.666278, 33.387130, 37.005977, 47.785823, 225.118622], [33.280993, 35.636617, 36.376776, 47.505710, 208.338539], [63.763206, 69.753039, 73.429188, 94.925207, 438.833642]]
### 6
mean: [1.711699, 4.707836, -2.448140, 2.839538, -1.528909, 5.246742]
std: [1.770648, 4.224747, 2.164148, 2.818488, 1.302407, 4.812972]
pca: [[0.230773, 0.967454, 0.003885, -0.081654, 0.032229, 0.055281, 0.000000, 0.000000, 0.000000, 0.000000], [0.552659, -0.181853, -0.133707, 0.027897, 0.448777, 0.664410, 0.000000, 0.000000, 0.000000, 0.000000], [-0.283057, 0.115435, 0.315008, 0.793049, -0.146556, 0.396129, 0.000000, 0.000000, 0.000000, 0.000000], [0.368550, -0.108230, 0.695936, -0.300346, -0.503415, 0.156511, 0.000000, 0.000000, 0.000000, 0.000000], [-0.170104, 0.019686, 0.630970, -0.075183, 0.722717, -0.211145, 0.000000, 0.000000, 0.000000, 0.000000], [0.629624, -0.074407, 0.020658, 0.517464, 0.018310, -0.574027, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[26.974199, 28.362311, 29.802521, 39.031782, 154.052939], [63.200632, 67.885494, 72.482715, 93.884253, 423.705195], [32.326844, 34.615582, 37.461880, 48.376411, 220.332564], [42.483931, 45.866947, 47.379451, 61.790743, 255.558427], [19.251769, 20.475194, 23.018632, 29.528128, 137.601828], [72.101294, 77.441264, 82.298865, 106.746534, 472.206809]]
### 8
mean: [-0.152764, -1.472674, 6.632058, 5.767432, -4.425489, -1.899163]
std: [0.476046, 0.881264, 6.396688, 5.320888, 3.978260, 1.918069]
pca: [[-0.050046, -0.534623, -0.148417, 0.760822, 0.254931, -0.214021, 0.000000, 0.000000, 0.000000, 0.000000], [-0.092909, 0.581491, 0.032462, 0.282090, 0.671352, 0.349133, 0.000000, 0.000000, 0.000000, 0.000000], [0.675277, 0.136315, 0.622211, 0.147442, 0.058267, -0.336359, 0.000000, 0.000000, 0.000000, 0.000000], [0.561708, -0.445178, -0.182465, -0.255758, 0.294311, 0.548613, 0.000000, 0.000000, 0.000000, 0.000000], [-0.419940, -0.342094, 0.744519, -0.014990, 0.005699, 0.389944, 0.000000, 0.000000, 0.000000, 0.000000], [-0.202481, -0.205553, 0.046580, -0.504181, 0.627894, -0.515879, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[7.100121, 7.521728, 8.102301, 10.503225, 13.748786], [13.170928, 14.269410, 14.849494, 19.342256, 132.540651], [95.695432, 102.886547, 108.314574, 141.117183, 596.885177], [79.606095, 85.624678, 90.406836, 117.647246, 519.068926], [59.523922, 63.825274, 68.108770, 88.452744, 398.294054], [28.698287, 30.798833, 32.646212, 42.491582, 170.924719]]
### 10
mean: [3.099017, -2.657998, -6.339289, 2.073668, 6.192025, 0.157646]
std: [3.012867, 2.351698, 5.686266, 2.140136, 6.221694, 0.442265]
pca: [[0.316828, -0.420277, 0.212109, 0.791329, 0.081613, -0.212452, 0.000000, 0.000000, 0.000000, 0.000000], [-0.247304, -0.268266, 0.259685, -0.115304, 0.830433, 0.310682, 0.000000, 0.000000, 0.000000, 0.000000], [-0.597983, -0.208029, 0.132329, 0.286163, -0.450687, 0.544630, 0.000000, 0.000000, 0.000000, 0.000000], [0.225050, -0.301524, 0.754407, -0.440048, -0.301375, -0.069553, 0.000000, 0.000000, 0.000000, 0.000000], [0.654291, 0.070935, -0.105091, 0.006700, -0.027168, 0.745013, 0.000000, 0.000000, 0.000000, 0.000000], [-0.046190, 0.782417, 0.538413, 0.291424, 0.095059, 0.042863, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.142162, 48.219870, 50.821498, 66.488860, 278.911482], [34.834703, 37.907185, 39.747268, 51.756133, 239.219774], [84.515447, 91.526937, 96.049659, 125.235658, 570.536024], [32.047463, 34.317366, 36.061107, 47.187580, 186.630166], [92.584551, 100.042310, 105.074920, 137.073963, 557.282265], [6.834313, 7.106072, 7.438476, 9.931562, 14.188152]]
### 12
mean: [-4.335601]
std: [4.598626]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[68.185619, 73.247293, 77.241329, 100.991772, 390.204132]]
## 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": [[-0.461735, 0.188201, -0.531982, 0.611335, -0.257177], [-0.377425, 0.297665, -0.608152, -0.194388, 0.120805], [-0.674376, -0.071717, 0.479697, -0.02259, 0.343866], [0.138401, 0.26494, -0.206318, 0.348344, 0.228129], [-0.52185, -0.477224, 0.474284, -0.278217, 0.647072], [-0.384049, 0.223656, -0.150232, 0.394467, -0.0918]], "network.0.bias": [0.004596, -0.400698, -0.165049, 0.111754, -0.030672, 0.252837], "network.2.weight": [[0.591016, 0.283049, 0.488486, -0.449055, 0.700415, 0.369481], [0.853355, 0.327857, 0.694709, -0.182902, 0.185549, 0.721584], [0.016143, 0.104389, 0.664441, 0.078424, 0.709548, 0.668664], [-0.600757, 0.00894, 0.333601, 0.101936, -0.466171, -0.349076], [0.549158, 0.237025, 0.736608, 0.027605, 0.749056, 0.797547], [0.271446, -0.015464, 0.825386, -0.163446, 0.829586, 0.539987]], "network.2.bias": [0.217415, 0.004395, -0.365659, -0.181092, -0.217351, 0.106844], "network.4.weight": [[-0.231024, -0.009777, -0.220523, 0.228075, -0.03875, 0.010405], [0.621251, 0.529078, 0.675679, 0.001651, 0.738386, 0.368454], [-0.171602, -0.177993, -0.307591, -0.253391, 0.03488, -0.396682], [-0.582485, -0.317234, -0.533098, 0.208325, -0.321151, 0.093329], [-0.058613, 0.243924, 0.51472, -0.530121, 0.521557, 0.247008], [0.501372, 0.329766, 0.782506, -0.522151, 0.590793, 0.878321]], "network.4.bias": [0.177278, 0.154352, -0.226231, -0.119844, -0.082381, 0.116734], "network.6.weight": [[-0.05269, 0.323876, -0.217045, -0.166693, 0.545186, -0.166673], [-0.162132, 0.555803, 0.068545, -0.133377, 0.087809, 0.416558], [0.216968, -0.407974, 0.338513, 0.317576, 0.153767, -0.195991], [-0.416161, -0.079928, -0.236164, 0.174612, 0.727244, 0.359292], [-0.128854, -0.511335, 0.379971, -0.042616, 0.450443, -0.052138], [-0.1118, 0.55921, 0.0684, -0.298093, 0.292792, 0.448026]], "network.6.bias": [-0.260046, -0.120466, 0.046492, -0.212123, 0.074647, -0.231729], "network.8.weight": [[-0.299396, -0.262397, 0.02851, 0.062778, -0.378925, 0.20192], [0.206574, -0.230669, 0.145026, -0.337886, -0.01932, 0.140334], [0.317919, 0.392402, -0.088817, 0.66699, 0.155699, 0.494977], [-0.082681, 0.508288, 0.139841, 0.488255, 0.241159, 0.412192], [-0.07774, -0.211402, -0.131461, 0.277068, -0.044937, -0.775576], [-0.090236, 0.073259, -0.069185, 0.040078, -0.010828, -0.456082]], "network.8.bias": [0.370187, -0.511113, -0.327238, -0.069797, -0.010995, 0.202155], "network.10.weight": [[-0.24631, 0.119879, 0.446713, 0.028909, -0.034319, -0.060007], [-0.252124, 0.4001, -0.096179, -0.336372, -0.352453, -0.126483], [-0.365282, -0.134594, -0.496857, -0.488225, 0.127961, 0.08895], [-0.079905, 0.079625, 0.468025, -0.160189, -0.108164, -0.38744], [0.242905, 0.155527, 0.572021, 0.4973, -0.062856, -0.015331], [0.5304, 0.521528, -0.215152, 0.189387, -0.180027, 0.233538]], "network.10.bias": [-0.027528, -0.029134, -0.14295, -0.107267, -0.54854, 0.423417], "network.12.weight": [[-0.106702, -0.369186, 0.558268, -0.067345, -0.670277, 0.256774]], "network.12.bias": [0.313426]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6855149865150452, "train_acc": 0.555, "val_loss": 0.584484338760376, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.554173618555069, "train_acc": 0.555, "val_loss": 0.42728284001350403, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4341115206480026, "train_acc": 0.625, "val_loss": 0.3096385598182678, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3474768102169037, "train_acc": 0.91, "val_loss": 0.2598969042301178, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3096291869878769, "train_acc": 0.935, "val_loss": 0.2167275995016098, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.23697107285261154, "train_acc": 0.945, "val_loss": 0.1751377135515213, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1975349858403206, "train_acc": 0.95, "val_loss": 0.1453315019607544, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.19841019809246063, "train_acc": 0.945, "val_loss": 0.1932336837053299, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17418625205755234, "train_acc": 0.945, "val_loss": 0.2128191739320755, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1988150253891945, "train_acc": 0.945, "val_loss": 0.20754943788051605, "val_acc": 0.94}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.584484338760376, "final_val_loss": 0.42728284001350403, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.3096385598182678, "final_val_loss": 0.20754943788051605, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.41999999999999993, "first_improvement_epoch": 1}}
|
9,996
|
{"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.86, "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": 9335, "learning_rate": 0.06476724336710277, "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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[
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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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"network.8.bias": [
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]
}
## Activation Signature
### 0
mean: [0.280759, -0.371744, -0.014752, -1.385278, 0.058844, 0.073418, -1.432902]
std: [1.755088, 1.398191, 0.720052, 1.542647, 1.450551, 1.245241, 1.122150]
pca: [[0.544832, -0.485638, 0.282520, 0.262311, -0.505592, 0.170560, -0.184324, 0.000000, 0.000000, 0.000000], [0.337688, 0.508583, -0.193069, -0.479929, -0.230769, 0.509631, -0.216159, 0.000000, 0.000000, 0.000000], [0.207139, -0.124689, 0.315841, 0.089660, 0.726420, 0.549038, 0.067987, 0.000000, 0.000000, 0.000000], [0.204297, 0.617192, 0.655405, 0.195782, -0.010286, -0.330264, -0.016456, 0.000000, 0.000000, 0.000000], [0.540754, 0.007364, -0.226686, -0.107441, 0.041436, -0.205196, 0.775099, 0.000000, 0.000000, 0.000000], [0.450165, -0.093562, -0.263565, -0.129114, 0.401561, -0.480721, -0.556882, 0.000000, 0.000000, 0.000000], [0.097050, 0.316571, -0.482435, 0.791377, 0.019020, 0.165744, -0.059249, 0.000000, 0.000000, 0.000000]]
fourier: [[25.345077, 25.507831, 26.311389, 30.301314, 35.805122], [21.840507, 24.237824, 24.403825, 25.044793, 33.456995], [10.172168, 10.414196, 10.737737, 10.898131, 12.341082], [24.525134, 25.601003, 26.210075, 26.639455, 124.675017], [21.411877, 24.113967, 24.853943, 25.081832, 27.385660], [18.946952, 20.029856, 20.266598, 21.994064, 24.129885], [17.532888, 17.723562, 18.114963, 21.497311, 128.961202]]
### 2
mean: [0.091485, -0.670563, 1.370978, 1.207988, 0.136448, -0.789713, 1.664508]
std: [0.422433, 0.295952, 1.489427, 1.443655, 0.373730, 0.289535, 1.862703]
pca: [[0.136341, 0.187557, 0.316890, 0.365761, 0.716159, -0.433852, -0.104503, 0.000000, 0.000000, 0.000000], [-0.057122, 0.414454, 0.166121, 0.107537, -0.576619, -0.460239, -0.491422, 0.000000, 0.000000, 0.000000], [0.533773, 0.079795, -0.275986, 0.673526, -0.266411, 0.050515, 0.324633, 0.000000, 0.000000, 0.000000], [0.501602, 0.660277, -0.087637, -0.430179, 0.156795, 0.296040, -0.086437, 0.000000, 0.000000, 0.000000], [-0.035940, 0.188692, 0.732401, -0.076197, -0.215288, 0.038496, 0.610783, 0.000000, 0.000000, 0.000000], [-0.080774, -0.009564, 0.381417, 0.390007, 0.008867, 0.701280, -0.451583, 0.000000, 0.000000, 0.000000], [0.658646, -0.561268, 0.325954, -0.240939, -0.112422, -0.128395, -0.240297, 0.000000, 0.000000, 0.000000]]
fourier: [[6.781471, 6.975479, 7.244729, 7.391602, 8.233614], [4.771632, 4.913165, 4.972973, 5.091688, 60.350655], [23.386866, 25.037218, 25.099733, 31.180798, 123.388031], [24.274735, 24.781213, 25.492367, 30.577289, 108.718918], [5.771596, 6.245353, 6.359435, 6.857278, 12.280279], [4.252190, 4.259988, 4.621069, 5.621096, 71.074194], [31.107843, 33.277666, 35.040401, 36.542342, 149.805749]]
### 4
mean: [2.404541, -0.094315, -0.057616, -1.279735, -0.607657, -0.850011, -1.232143]
std: [3.173620, 0.853192, 0.338761, 1.453060, 0.208870, 0.664214, 1.294524]
pca: [[0.816739, -0.094454, 0.321869, -0.047507, 0.150266, 0.417790, -0.145020, 0.000000, 0.000000, 0.000000], [-0.218418, -0.183385, -0.412496, -0.544955, 0.492396, 0.456741, -0.021630, 0.000000, 0.000000, 0.000000], [0.066025, 0.897794, 0.113879, -0.229204, 0.278429, -0.069060, 0.204479, 0.000000, 0.000000, 0.000000], [-0.373679, 0.209321, 0.156886, 0.584337, 0.075525, 0.657526, -0.111544, 0.000000, 0.000000, 0.000000], [-0.050541, -0.217855, 0.232382, 0.315019, 0.801706, -0.391493, -0.027328, 0.000000, 0.000000, 0.000000], [-0.168717, -0.244978, 0.501341, -0.175514, -0.050930, 0.155984, 0.776175, 0.000000, 0.000000, 0.000000], [-0.331988, -0.011113, 0.619130, -0.420406, -0.080079, -0.046173, -0.566615, 0.000000, 0.000000, 0.000000]]
fourier: [[51.779379, 54.416815, 57.055526, 63.961359, 216.408674], [13.474772, 13.831288, 14.489443, 15.554969, 16.875727], [5.185479, 5.384054, 5.877022, 6.025364, 7.019676], [23.083599, 25.596303, 25.745068, 29.482014, 115.176166], [3.219037, 3.416035, 3.502476, 4.631268, 54.689108], [10.835545, 10.877561, 11.227961, 14.215939, 76.500994], [20.667513, 21.219681, 22.361497, 26.935536, 110.892866]]
### 6
mean: [-0.919619, 1.542758, 1.415461, 0.024907, -0.426832, -0.427441, 0.128161]
std: [1.037937, 1.984482, 2.017657, 1.139152, 1.158020, 0.126240, 0.647004]
pca: [[-0.297730, -0.224513, -0.278379, 0.672065, -0.217214, -0.015637, 0.533251, 0.000000, 0.000000, 0.000000], [0.569452, 0.200121, 0.296229, -0.119415, -0.158035, 0.290278, 0.651481, 0.000000, 0.000000, 0.000000], [0.578875, 0.325477, -0.442475, 0.472487, 0.006469, 0.098975, -0.360698, 0.000000, 0.000000, 0.000000], [-0.326037, 0.668573, -0.478865, -0.350234, -0.235983, -0.039657, 0.193581, 0.000000, 0.000000, 0.000000], [-0.331856, 0.425881, 0.550922, 0.354910, -0.256228, 0.382593, -0.258826, 0.000000, 0.000000, 0.000000], [-0.033188, -0.399589, -0.305248, -0.243617, -0.363259, 0.726132, -0.165762, 0.000000, 0.000000, 0.000000], [-0.185622, 0.124797, -0.113868, 0.053388, 0.821282, 0.480083, 0.170793, 0.000000, 0.000000, 0.000000]]
fourier: [[16.987111, 17.763522, 19.186749, 20.758285, 82.765685], [32.443747, 33.667926, 36.365108, 39.766603, 138.848243], [33.182558, 33.657249, 37.193007, 40.623952, 127.391535], [17.935758, 18.273358, 19.165705, 19.640414, 22.710959], [18.754604, 18.827782, 20.414886, 23.404534, 38.414890], [2.088874, 2.343513, 2.388795, 2.689857, 38.469665], [10.502098, 10.899102, 11.534525, 11.568087, 12.962464]]
### 8
mean: [-0.862083]
std: [2.648480]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.816384, 44.278907, 44.817730, 52.600745, 77.587501]]
## 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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## Activation Signature
### 0
mean: [0.280759, -0.371744, -0.014752, -1.385278, 0.058844, 0.073418, -1.432902]
std: [1.755088, 1.398191, 0.720052, 1.542647, 1.450551, 1.245241, 1.122150]
pca: [[0.544832, -0.485638, 0.282520, 0.262311, -0.505592, 0.170560, -0.184324, 0.000000, 0.000000, 0.000000], [0.337688, 0.508583, -0.193069, -0.479929, -0.230769, 0.509631, -0.216159, 0.000000, 0.000000, 0.000000], [0.207139, -0.124689, 0.315841, 0.089660, 0.726420, 0.549038, 0.067987, 0.000000, 0.000000, 0.000000], [0.204297, 0.617192, 0.655405, 0.195782, -0.010286, -0.330264, -0.016456, 0.000000, 0.000000, 0.000000], [0.540754, 0.007364, -0.226686, -0.107441, 0.041436, -0.205196, 0.775099, 0.000000, 0.000000, 0.000000], [0.450165, -0.093562, -0.263565, -0.129114, 0.401561, -0.480721, -0.556882, 0.000000, 0.000000, 0.000000], [0.097050, 0.316571, -0.482435, 0.791377, 0.019020, 0.165744, -0.059249, 0.000000, 0.000000, 0.000000]]
fourier: [[25.345077, 25.507831, 26.311389, 30.301314, 35.805122], [21.840507, 24.237824, 24.403825, 25.044793, 33.456995], [10.172168, 10.414196, 10.737737, 10.898131, 12.341082], [24.525134, 25.601003, 26.210075, 26.639455, 124.675017], [21.411877, 24.113967, 24.853943, 25.081832, 27.385660], [18.946952, 20.029856, 20.266598, 21.994064, 24.129885], [17.532888, 17.723562, 18.114963, 21.497311, 128.961202]]
### 2
mean: [0.091485, -0.670563, 1.370978, 1.207988, 0.136448, -0.789713, 1.664508]
std: [0.422433, 0.295952, 1.489427, 1.443655, 0.373730, 0.289535, 1.862703]
pca: [[0.136341, 0.187557, 0.316890, 0.365761, 0.716159, -0.433852, -0.104503, 0.000000, 0.000000, 0.000000], [-0.057122, 0.414454, 0.166121, 0.107537, -0.576619, -0.460239, -0.491422, 0.000000, 0.000000, 0.000000], [0.533773, 0.079795, -0.275986, 0.673526, -0.266411, 0.050515, 0.324633, 0.000000, 0.000000, 0.000000], [0.501602, 0.660277, -0.087637, -0.430179, 0.156795, 0.296040, -0.086437, 0.000000, 0.000000, 0.000000], [-0.035940, 0.188692, 0.732401, -0.076197, -0.215288, 0.038496, 0.610783, 0.000000, 0.000000, 0.000000], [-0.080774, -0.009564, 0.381417, 0.390007, 0.008867, 0.701280, -0.451583, 0.000000, 0.000000, 0.000000], [0.658646, -0.561268, 0.325954, -0.240939, -0.112422, -0.128395, -0.240297, 0.000000, 0.000000, 0.000000]]
fourier: [[6.781471, 6.975479, 7.244729, 7.391602, 8.233614], [4.771632, 4.913165, 4.972973, 5.091688, 60.350655], [23.386866, 25.037218, 25.099733, 31.180798, 123.388031], [24.274735, 24.781213, 25.492367, 30.577289, 108.718918], [5.771596, 6.245353, 6.359435, 6.857278, 12.280279], [4.252190, 4.259988, 4.621069, 5.621096, 71.074194], [31.107843, 33.277666, 35.040401, 36.542342, 149.805749]]
### 4
mean: [2.404541, -0.094315, -0.057616, -1.279735, -0.607657, -0.850011, -1.232143]
std: [3.173620, 0.853192, 0.338761, 1.453060, 0.208870, 0.664214, 1.294524]
pca: [[0.816739, -0.094454, 0.321869, -0.047507, 0.150266, 0.417790, -0.145020, 0.000000, 0.000000, 0.000000], [-0.218418, -0.183385, -0.412496, -0.544955, 0.492396, 0.456741, -0.021630, 0.000000, 0.000000, 0.000000], [0.066025, 0.897794, 0.113879, -0.229204, 0.278429, -0.069060, 0.204479, 0.000000, 0.000000, 0.000000], [-0.373679, 0.209321, 0.156886, 0.584337, 0.075525, 0.657526, -0.111544, 0.000000, 0.000000, 0.000000], [-0.050541, -0.217855, 0.232382, 0.315019, 0.801706, -0.391493, -0.027328, 0.000000, 0.000000, 0.000000], [-0.168717, -0.244978, 0.501341, -0.175514, -0.050930, 0.155984, 0.776175, 0.000000, 0.000000, 0.000000], [-0.331988, -0.011113, 0.619130, -0.420406, -0.080079, -0.046173, -0.566615, 0.000000, 0.000000, 0.000000]]
fourier: [[51.779379, 54.416815, 57.055526, 63.961359, 216.408674], [13.474772, 13.831288, 14.489443, 15.554969, 16.875727], [5.185479, 5.384054, 5.877022, 6.025364, 7.019676], [23.083599, 25.596303, 25.745068, 29.482014, 115.176166], [3.219037, 3.416035, 3.502476, 4.631268, 54.689108], [10.835545, 10.877561, 11.227961, 14.215939, 76.500994], [20.667513, 21.219681, 22.361497, 26.935536, 110.892866]]
### 6
mean: [-0.919619, 1.542758, 1.415461, 0.024907, -0.426832, -0.427441, 0.128161]
std: [1.037937, 1.984482, 2.017657, 1.139152, 1.158020, 0.126240, 0.647004]
pca: [[-0.297730, -0.224513, -0.278379, 0.672065, -0.217214, -0.015637, 0.533251, 0.000000, 0.000000, 0.000000], [0.569452, 0.200121, 0.296229, -0.119415, -0.158035, 0.290278, 0.651481, 0.000000, 0.000000, 0.000000], [0.578875, 0.325477, -0.442475, 0.472487, 0.006469, 0.098975, -0.360698, 0.000000, 0.000000, 0.000000], [-0.326037, 0.668573, -0.478865, -0.350234, -0.235983, -0.039657, 0.193581, 0.000000, 0.000000, 0.000000], [-0.331856, 0.425881, 0.550922, 0.354910, -0.256228, 0.382593, -0.258826, 0.000000, 0.000000, 0.000000], [-0.033188, -0.399589, -0.305248, -0.243617, -0.363259, 0.726132, -0.165762, 0.000000, 0.000000, 0.000000], [-0.185622, 0.124797, -0.113868, 0.053388, 0.821282, 0.480083, 0.170793, 0.000000, 0.000000, 0.000000]]
fourier: [[16.987111, 17.763522, 19.186749, 20.758285, 82.765685], [32.443747, 33.667926, 36.365108, 39.766603, 138.848243], [33.182558, 33.657249, 37.193007, 40.623952, 127.391535], [17.935758, 18.273358, 19.165705, 19.640414, 22.710959], [18.754604, 18.827782, 20.414886, 23.404534, 38.414890], [2.088874, 2.343513, 2.388795, 2.689857, 38.469665], [10.502098, 10.899102, 11.534525, 11.568087, 12.962464]]
### 8
mean: [-0.862083]
std: [2.648480]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[41.816384, 44.278907, 44.817730, 52.600745, 77.587501]]
## 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.51539, -0.476466, 0.469712, 0.531039, -0.197703], [-0.489197, 0.195115, -0.180981, -0.221977, 0.669886], [-0.151361, -0.22728, 0.043037, 0.273339, -0.056533], [-0.093791, -0.259183, -0.630527, 0.006405, 0.425028], [-0.709015, -0.044553, 0.275219, 0.051819, 0.288997], [-0.610287, -0.005923, 0.325956, 0.068297, 0.181571], [-0.298793, 0.054473, -0.039717, -0.494385, 0.062272]], "network.0.bias": [-0.085767, -0.090634, -0.018573, -0.017106, -0.020095, -0.207603, -0.093988], "network.2.weight": [[-0.016594, 0.188275, -0.058128, -0.178343, 0.018121, 0.555418, 0.091828], [-0.145908, 0.087117, -0.288969, -0.083801, 0.155727, -0.175441, -0.23032], [0.412018, 0.519025, 0.508847, 0.124309, 0.873089, 0.289617, 0.441747], [0.308878, 0.640718, -0.063676, 0.451063, 0.626267, 0.602905, -0.056507], [-0.153478, -0.159098, -0.558906, -0.29999, 0.168937, 0.272602, -0.202136], [-0.214222, -0.193835, -0.045582, -0.275049, 0.030003, 0.125637, -0.385127], [0.759248, 0.174292, -0.00178, 0.002304, 0.993997, 0.761064, 0.103024]], "network.2.bias": [-0.216202, -0.487838, 0.059142, 0.039438, 0.273877, -0.580927, 0.029298], "network.4.weight": [[0.283785, -0.108687, 0.292948, 0.780803, 0.249766, 0.256056, 0.856986], [0.037515, 0.323747, 0.045475, -0.340684, -0.39612, 0.133912, -0.246629], [0.173837, 0.11746, -0.399284, 0.586702, -0.041117, -0.237774, -0.015408], [-0.264172, 0.117888, -0.375124, -0.168898, 0.074641, -0.169359, -0.319475], [-0.11763, 0.363816, -0.231388, -0.015617, -0.029264, 0.10715, 0.111325], [0.068274, -0.23272, -0.223807, -0.243424, 0.104105, 0.174781, -0.001975], [0.139998, -0.495275, -0.442355, -0.274598, 0.065653, -0.225489, -0.160675]], "network.4.bias": [-0.486552, 0.752225, -0.22024, 0.008395, -0.424971, -0.285191, -0.071861], "network.6.weight": [[-0.331219, 0.038429, -0.090295, -0.113017, 0.190524, 0.284593, -0.176367], [0.609754, -0.255961, 0.317715, -0.224936, 0.123927, -0.331768, -0.165101], [0.608977, -0.183337, 0.611838, 0.130832, -0.125133, 0.217772, 0.137529], [-0.298176, 0.743619, -0.207342, -0.149315, -0.011666, 0.05816, -0.37574], [-0.294694, 0.58466, -0.597698, 0.021087, 0.189214, -0.373138, -0.376191], [-0.072696, -0.291103, 0.179867, -0.092189, 0.004445, 0.030388, 0.151013], [-0.184836, 0.229673, -0.134069, 0.318051, -0.189793, -0.103981, 0.175156]], "network.6.bias": [-0.079139, 0.036593, -0.144897, 0.572763, 0.206399, -0.17136, 0.541162], "network.8.weight": [[0.082134, -0.463421, -0.578894, 0.689389, 0.743463, 0.080012, 0.592148]], "network.8.bias": [-0.005578]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6863179504871368, "train_acc": 0.56, "val_loss": 0.6440998911857605, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6740646362304688, "train_acc": 0.56, "val_loss": 0.6074912548065186, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6071934998035431, "train_acc": 0.55, "val_loss": 0.5531523823738098, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5262888371944427, "train_acc": 0.675, "val_loss": 0.5645866394042969, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.46877606213092804, "train_acc": 0.815, "val_loss": 0.42819827795028687, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3368879556655884, "train_acc": 0.875, "val_loss": 0.3488680124282837, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27798616141080856, "train_acc": 0.89, "val_loss": 0.3378135561943054, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.27179333567619324, "train_acc": 0.89, "val_loss": 0.34152647852897644, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.27534323930740356, "train_acc": 0.9, "val_loss": 0.3418672978878021, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.27872902154922485, "train_acc": 0.905, "val_loss": 0.3455601930618286, "val_acc": 0.86}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6440998911857605, "final_val_loss": 0.6074912548065186, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5531523823738098, "final_val_loss": 0.3455601930618286, "initial_val_acc": 0.62, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 5}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
9,997
|
{"target_pattern": "contains_abc", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8832, "learning_rate": 0.04233036479653935, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.076937,
-0.05925,
-0.242212,
-0.212173
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],
"network.4.bias": [
-0.435857,
-0.05136,
-0.410874,
-0.244871,
0.018007,
-0.563411,
-0.08269,
-0.097973
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[
0.279819,
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],
[
0.384227,
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0.464087
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}
## Activation Signature
### 0
mean: [3.458872, -1.328719, 0.952723, 0.961703, 3.171186, 2.626377, 1.042032, 0.785621]
std: [3.047626, 0.752762, 2.323023, 2.203052, 2.676455, 2.227119, 1.214152, 1.190454]
pca: [[0.564545, -0.107231, -0.228139, 0.080021, 0.560284, 0.172686, 0.078996, 0.511234, 0.000000, 0.000000], [-0.127781, 0.109458, 0.109114, -0.108242, 0.371415, 0.390731, 0.695503, -0.416803, 0.000000, 0.000000], [0.328674, 0.677561, 0.560773, 0.000730, 0.193476, -0.114749, -0.237278, -0.107314, 0.000000, 0.000000], [0.302613, -0.629238, 0.579918, -0.407848, -0.050302, -0.039708, 0.004032, -0.075608, 0.000000, 0.000000], [0.497294, 0.038731, -0.168975, 0.122443, -0.471500, 0.610869, -0.142270, -0.303217, 0.000000, 0.000000], [0.402444, -0.002302, -0.434346, -0.171892, 0.074510, -0.586128, 0.099072, -0.510800, 0.000000, 0.000000], [0.197120, 0.267706, 0.040164, -0.201651, -0.524676, -0.178235, 0.595144, 0.431221, 0.000000, 0.000000], [0.131301, -0.219816, 0.257786, 0.854598, -0.070852, -0.233004, 0.263562, -0.094199, 0.000000, 0.000000]]
fourier: [[45.212615, 52.407492, 56.264769, 60.155737, 311.298491], [11.071461, 11.281662, 14.628837, 15.515152, 119.584687], [37.943847, 39.489665, 40.374471, 50.470442, 85.745070], [32.515936, 33.321616, 36.199211, 40.788739, 86.553258], [40.530688, 46.982185, 48.566408, 51.380299, 285.406722], [35.051343, 39.996574, 41.382034, 42.785968, 236.373914], [21.889202, 23.085595, 23.598824, 24.105168, 93.782929], [17.582893, 17.842977, 21.389126, 24.310851, 70.705877]]
### 2
mean: [3.640046, -2.650424, 4.452464, 5.149584, 4.611591, -0.983512, 0.808800, -2.574141]
std: [3.445815, 2.513973, 4.150444, 4.996890, 4.264881, 0.720139, 0.956159, 2.485017]
pca: [[0.371499, -0.156070, 0.527629, 0.014044, 0.222738, -0.262776, -0.584465, 0.314290, 0.000000, 0.000000], [-0.270421, -0.015687, -0.477573, 0.062210, 0.558703, 0.130632, -0.125100, 0.591452, 0.000000, 0.000000], [0.447981, -0.318392, -0.431473, -0.022166, -0.534131, -0.203326, 0.093152, 0.419481, 0.000000, 0.000000], [0.540386, 0.090959, -0.282158, 0.435345, 0.453749, -0.257310, 0.169968, -0.359979, 0.000000, 0.000000], [0.461484, 0.035596, 0.251363, -0.057274, 0.117624, 0.735004, 0.341935, 0.219806, 0.000000, 0.000000], [-0.074482, -0.066134, 0.283123, -0.326328, 0.252100, -0.492613, 0.663691, 0.238166, 0.000000, 0.000000], [0.082698, 0.907546, 0.030946, 0.104723, -0.205895, -0.153086, -0.006098, 0.302871, 0.000000, 0.000000], [-0.266086, -0.190964, 0.288876, 0.827755, -0.165141, 0.000544, 0.218500, 0.221559, 0.000000, 0.000000]]
fourier: [[54.542406, 61.069511, 62.295033, 67.257363, 327.604144], [40.997515, 42.710828, 46.351300, 48.149703, 238.538167], [61.463882, 74.547815, 77.305026, 78.882584, 400.721718], [76.329287, 91.499238, 92.170985, 93.360097, 463.462535], [67.114368, 76.326246, 77.574360, 80.096421, 415.043207], [10.869743, 11.156240, 13.764700, 14.214000, 88.516089], [14.774045, 14.820308, 15.525251, 17.561665, 72.792032], [38.560040, 43.987008, 44.182409, 45.328049, 231.672679]]
### 4
mean: [4.390723, 5.514255, -5.397453, -2.347370, 2.079257, 3.112272, 5.345881, -1.365659]
std: [4.570414, 5.255908, 4.658182, 1.982672, 1.914783, 3.463686, 5.069155, 1.164119]
pca: [[0.422983, 0.267730, 0.020620, -0.025956, 0.569890, 0.628804, -0.043379, 0.162039, 0.000000, 0.000000], [0.486347, 0.160404, 0.600176, -0.069722, 0.056537, -0.482210, -0.366937, -0.047946, 0.000000, 0.000000], [-0.431036, -0.031036, 0.568640, -0.203932, 0.061787, 0.073426, 0.215097, 0.626761, 0.000000, 0.000000], [-0.182408, 0.679959, -0.270185, -0.302467, 0.300545, -0.419364, 0.270852, -0.018512, 0.000000, 0.000000], [0.176704, -0.350792, -0.454202, -0.457516, 0.089551, -0.208879, -0.352682, 0.504050, 0.000000, 0.000000], [0.320557, -0.097911, -0.132506, 0.625695, 0.111686, -0.322706, 0.433189, 0.417539, 0.000000, 0.000000], [0.469198, -0.096640, 0.065881, -0.493812, -0.360253, 0.094577, 0.612997, -0.088492, 0.000000, 0.000000], [-0.106576, -0.545254, 0.121715, -0.129327, 0.653918, -0.184682, 0.236741, -0.376877, 0.000000, 0.000000]]
fourier: [[70.344325, 83.482781, 83.793715, 84.710233, 395.165061], [80.102820, 95.863694, 95.886036, 98.411821, 496.282958], [72.538759, 84.419014, 84.979632, 85.809732, 485.770782], [31.246547, 35.218357, 36.003884, 38.369870, 211.263320], [30.315396, 33.529219, 35.058286, 36.768805, 187.133116], [53.897311, 62.645248, 63.430724, 64.130076, 280.104484], [78.081693, 92.725392, 93.204676, 93.461219, 481.129308], [17.671221, 18.959477, 21.516532, 21.528956, 122.909299]]
### 6
mean: [-3.541138, 6.058751, 7.070764, -1.095312, 3.278862, -0.947355, -2.810316, -1.587362]
std: [3.440387, 6.149818, 7.365448, 0.598916, 3.455276, 0.945142, 2.302429, 1.380320]
pca: [[-0.308475, 0.672435, -0.177704, -0.540717, -0.186194, 0.001478, -0.301204, 0.057676, 0.000000, 0.000000], [0.551648, -0.029134, -0.519007, -0.026353, -0.252385, -0.289417, -0.021145, 0.526180, 0.000000, 0.000000], [0.660686, 0.259611, 0.468793, -0.234191, 0.077440, -0.292032, -0.070294, -0.353924, 0.000000, 0.000000], [-0.053491, 0.359630, 0.198773, 0.211091, -0.537363, -0.016389, 0.701973, 0.044074, 0.000000, 0.000000], [0.309889, 0.446339, -0.013809, 0.286899, 0.367062, 0.656553, -0.006012, 0.237521, 0.000000, 0.000000], [-0.084690, -0.096961, 0.644702, 0.079584, -0.245116, 0.003884, -0.388002, 0.592292, 0.000000, 0.000000], [-0.206521, 0.160844, 0.108388, -0.096388, 0.641920, -0.465508, 0.355961, 0.393665, 0.000000, 0.000000], [-0.123716, 0.340235, -0.110436, 0.713856, 0.000434, -0.427680, -0.365832, -0.174368, 0.000000, 0.000000]]
fourier: [[53.140913, 62.756973, 63.198899, 63.723862, 318.702438], [96.072358, 110.721812, 111.551805, 113.472394, 545.287597], [114.448063, 132.651397, 132.788894, 136.847775, 636.368749], [9.242118, 10.569440, 11.234175, 11.476325, 98.578123], [54.109769, 61.620858, 61.697972, 64.312784, 295.097509], [15.222152, 16.713764, 16.935988, 17.122754, 85.261931], [35.795821, 41.639364, 42.136277, 42.437033, 252.928402], [21.181049, 25.287401, 25.534456, 25.545065, 142.862571]]
### 8
mean: [-1.168082, 4.228579, 3.736701, 5.617919, -2.118837, -3.348829, 4.208998, 2.655708]
std: [1.137968, 4.579991, 4.084735, 5.994477, 2.095671, 3.387947, 4.718716, 2.561931]
pca: [[-0.104027, -0.356373, 0.784379, -0.002197, 0.114477, -0.113385, -0.130048, 0.451715, 0.000000, 0.000000], [0.418819, 0.168403, 0.241037, 0.612373, -0.353508, -0.281459, 0.395062, -0.053582, 0.000000, 0.000000], [0.373520, -0.421937, -0.286064, 0.053617, 0.434007, 0.243900, 0.483619, 0.340599, 0.000000, 0.000000], [0.548170, -0.065558, 0.175992, -0.041638, 0.490499, -0.188549, -0.360158, -0.506607, 0.000000, 0.000000], [-0.191638, -0.102484, -0.130272, 0.759349, 0.154622, 0.366930, -0.446984, 0.029148, 0.000000, 0.000000], [-0.309793, 0.507909, 0.329023, 0.070822, 0.510604, 0.255003, 0.414511, -0.187679, 0.000000, 0.000000], [0.431505, 0.194367, 0.247418, -0.196765, -0.313955, 0.747308, -0.127658, 0.052525, 0.000000, 0.000000], [0.234240, 0.596705, -0.165537, -0.006570, 0.223120, -0.233993, -0.274775, 0.617731, 0.000000, 0.000000]]
fourier: [[17.655500, 20.598839, 20.680636, 21.082591, 105.127338], [72.101699, 81.663815, 81.942933, 84.871544, 380.572095], [64.508346, 72.372936, 72.449946, 76.038697, 336.303056], [94.494266, 106.699755, 106.884397, 111.249577, 505.612717], [32.997866, 37.410906, 37.493566, 38.837383, 190.695330], [53.565320, 59.836373, 59.978284, 63.149801, 301.394581], [74.287203, 84.174501, 84.424317, 87.447739, 378.809785], [40.054169, 46.095721, 46.391502, 47.308404, 239.013719]]
### 10
mean: [-0.815347, -1.717055, 1.287959, -0.128653, 4.024482, -1.999565, -0.498413, 6.742135]
std: [0.584635, 1.492839, 0.516182, 0.060091, 4.490554, 2.003441, 0.684504, 7.340922]
pca: [[-0.064807, 0.037340, -0.456675, -0.022728, 0.208207, 0.806743, -0.189124, -0.235340, 0.000000, 0.000000], [-0.165487, 0.068752, 0.788331, 0.090635, 0.499401, 0.252706, -0.021772, -0.156431, 0.000000, 0.000000], [0.057037, 0.599722, 0.208308, -0.326829, -0.334165, 0.323959, 0.002271, 0.519855, 0.000000, 0.000000], [0.004872, -0.590634, 0.244827, -0.333984, -0.427913, 0.332530, 0.416605, -0.111344, 0.000000, 0.000000], [0.497804, 0.241941, 0.106130, 0.641199, -0.312994, 0.166976, 0.259379, -0.279521, 0.000000, 0.000000], [-0.222085, -0.270140, -0.098237, 0.505070, 0.163722, 0.179071, 0.290634, 0.685287, 0.000000, 0.000000], [-0.075839, 0.329665, -0.213824, -0.227762, 0.343163, -0.094878, 0.798571, -0.153281, 0.000000, 0.000000], [0.813790, -0.212540, -0.003781, -0.234092, 0.412240, 0.028823, -0.027072, 0.257396, 0.000000, 0.000000]]
fourier: [[9.309088, 10.234084, 10.292733, 10.895254, 73.381253], [24.026662, 26.197345, 26.258070, 27.459104, 154.534981], [7.926869, 9.608972, 9.609453, 9.687532, 115.916287], [0.895292, 1.169878, 1.170686, 1.172065, 11.578805], [71.555959, 79.337237, 79.428380, 83.081241, 362.203334], [31.756310, 35.544148, 35.552866, 37.104778, 179.960886], [11.184290, 11.712218, 11.772196, 12.660006, 44.857195], [117.486155, 129.104586, 129.151657, 135.757966, 606.792091]]
### 12
mean: [-2.164763]
std: [3.269864]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.991867, 56.863044, 56.922160, 60.308662, 194.828685]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.51338,
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],
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[
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],
[
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],
[
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[
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0.53754,
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],
[
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-0.102821
],
[
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0.234801
]
],
"network.0.bias": [
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-0.289482,
-0.261394,
-0.177305,
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-0.331235,
-0.098723,
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],
"network.2.weight": [
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[
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0.396405,
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0.68782
],
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## Activation Signature
### 0
mean: [3.458872, -1.328719, 0.952723, 0.961703, 3.171186, 2.626377, 1.042032, 0.785621]
std: [3.047626, 0.752762, 2.323023, 2.203052, 2.676455, 2.227119, 1.214152, 1.190454]
pca: [[0.564545, -0.107231, -0.228139, 0.080021, 0.560284, 0.172686, 0.078996, 0.511234, 0.000000, 0.000000], [-0.127781, 0.109458, 0.109114, -0.108242, 0.371415, 0.390731, 0.695503, -0.416803, 0.000000, 0.000000], [0.328674, 0.677561, 0.560773, 0.000730, 0.193476, -0.114749, -0.237278, -0.107314, 0.000000, 0.000000], [0.302613, -0.629238, 0.579918, -0.407848, -0.050302, -0.039708, 0.004032, -0.075608, 0.000000, 0.000000], [0.497294, 0.038731, -0.168975, 0.122443, -0.471500, 0.610869, -0.142270, -0.303217, 0.000000, 0.000000], [0.402444, -0.002302, -0.434346, -0.171892, 0.074510, -0.586128, 0.099072, -0.510800, 0.000000, 0.000000], [0.197120, 0.267706, 0.040164, -0.201651, -0.524676, -0.178235, 0.595144, 0.431221, 0.000000, 0.000000], [0.131301, -0.219816, 0.257786, 0.854598, -0.070852, -0.233004, 0.263562, -0.094199, 0.000000, 0.000000]]
fourier: [[45.212615, 52.407492, 56.264769, 60.155737, 311.298491], [11.071461, 11.281662, 14.628837, 15.515152, 119.584687], [37.943847, 39.489665, 40.374471, 50.470442, 85.745070], [32.515936, 33.321616, 36.199211, 40.788739, 86.553258], [40.530688, 46.982185, 48.566408, 51.380299, 285.406722], [35.051343, 39.996574, 41.382034, 42.785968, 236.373914], [21.889202, 23.085595, 23.598824, 24.105168, 93.782929], [17.582893, 17.842977, 21.389126, 24.310851, 70.705877]]
### 2
mean: [3.640046, -2.650424, 4.452464, 5.149584, 4.611591, -0.983512, 0.808800, -2.574141]
std: [3.445815, 2.513973, 4.150444, 4.996890, 4.264881, 0.720139, 0.956159, 2.485017]
pca: [[0.371499, -0.156070, 0.527629, 0.014044, 0.222738, -0.262776, -0.584465, 0.314290, 0.000000, 0.000000], [-0.270421, -0.015687, -0.477573, 0.062210, 0.558703, 0.130632, -0.125100, 0.591452, 0.000000, 0.000000], [0.447981, -0.318392, -0.431473, -0.022166, -0.534131, -0.203326, 0.093152, 0.419481, 0.000000, 0.000000], [0.540386, 0.090959, -0.282158, 0.435345, 0.453749, -0.257310, 0.169968, -0.359979, 0.000000, 0.000000], [0.461484, 0.035596, 0.251363, -0.057274, 0.117624, 0.735004, 0.341935, 0.219806, 0.000000, 0.000000], [-0.074482, -0.066134, 0.283123, -0.326328, 0.252100, -0.492613, 0.663691, 0.238166, 0.000000, 0.000000], [0.082698, 0.907546, 0.030946, 0.104723, -0.205895, -0.153086, -0.006098, 0.302871, 0.000000, 0.000000], [-0.266086, -0.190964, 0.288876, 0.827755, -0.165141, 0.000544, 0.218500, 0.221559, 0.000000, 0.000000]]
fourier: [[54.542406, 61.069511, 62.295033, 67.257363, 327.604144], [40.997515, 42.710828, 46.351300, 48.149703, 238.538167], [61.463882, 74.547815, 77.305026, 78.882584, 400.721718], [76.329287, 91.499238, 92.170985, 93.360097, 463.462535], [67.114368, 76.326246, 77.574360, 80.096421, 415.043207], [10.869743, 11.156240, 13.764700, 14.214000, 88.516089], [14.774045, 14.820308, 15.525251, 17.561665, 72.792032], [38.560040, 43.987008, 44.182409, 45.328049, 231.672679]]
### 4
mean: [4.390723, 5.514255, -5.397453, -2.347370, 2.079257, 3.112272, 5.345881, -1.365659]
std: [4.570414, 5.255908, 4.658182, 1.982672, 1.914783, 3.463686, 5.069155, 1.164119]
pca: [[0.422983, 0.267730, 0.020620, -0.025956, 0.569890, 0.628804, -0.043379, 0.162039, 0.000000, 0.000000], [0.486347, 0.160404, 0.600176, -0.069722, 0.056537, -0.482210, -0.366937, -0.047946, 0.000000, 0.000000], [-0.431036, -0.031036, 0.568640, -0.203932, 0.061787, 0.073426, 0.215097, 0.626761, 0.000000, 0.000000], [-0.182408, 0.679959, -0.270185, -0.302467, 0.300545, -0.419364, 0.270852, -0.018512, 0.000000, 0.000000], [0.176704, -0.350792, -0.454202, -0.457516, 0.089551, -0.208879, -0.352682, 0.504050, 0.000000, 0.000000], [0.320557, -0.097911, -0.132506, 0.625695, 0.111686, -0.322706, 0.433189, 0.417539, 0.000000, 0.000000], [0.469198, -0.096640, 0.065881, -0.493812, -0.360253, 0.094577, 0.612997, -0.088492, 0.000000, 0.000000], [-0.106576, -0.545254, 0.121715, -0.129327, 0.653918, -0.184682, 0.236741, -0.376877, 0.000000, 0.000000]]
fourier: [[70.344325, 83.482781, 83.793715, 84.710233, 395.165061], [80.102820, 95.863694, 95.886036, 98.411821, 496.282958], [72.538759, 84.419014, 84.979632, 85.809732, 485.770782], [31.246547, 35.218357, 36.003884, 38.369870, 211.263320], [30.315396, 33.529219, 35.058286, 36.768805, 187.133116], [53.897311, 62.645248, 63.430724, 64.130076, 280.104484], [78.081693, 92.725392, 93.204676, 93.461219, 481.129308], [17.671221, 18.959477, 21.516532, 21.528956, 122.909299]]
### 6
mean: [-3.541138, 6.058751, 7.070764, -1.095312, 3.278862, -0.947355, -2.810316, -1.587362]
std: [3.440387, 6.149818, 7.365448, 0.598916, 3.455276, 0.945142, 2.302429, 1.380320]
pca: [[-0.308475, 0.672435, -0.177704, -0.540717, -0.186194, 0.001478, -0.301204, 0.057676, 0.000000, 0.000000], [0.551648, -0.029134, -0.519007, -0.026353, -0.252385, -0.289417, -0.021145, 0.526180, 0.000000, 0.000000], [0.660686, 0.259611, 0.468793, -0.234191, 0.077440, -0.292032, -0.070294, -0.353924, 0.000000, 0.000000], [-0.053491, 0.359630, 0.198773, 0.211091, -0.537363, -0.016389, 0.701973, 0.044074, 0.000000, 0.000000], [0.309889, 0.446339, -0.013809, 0.286899, 0.367062, 0.656553, -0.006012, 0.237521, 0.000000, 0.000000], [-0.084690, -0.096961, 0.644702, 0.079584, -0.245116, 0.003884, -0.388002, 0.592292, 0.000000, 0.000000], [-0.206521, 0.160844, 0.108388, -0.096388, 0.641920, -0.465508, 0.355961, 0.393665, 0.000000, 0.000000], [-0.123716, 0.340235, -0.110436, 0.713856, 0.000434, -0.427680, -0.365832, -0.174368, 0.000000, 0.000000]]
fourier: [[53.140913, 62.756973, 63.198899, 63.723862, 318.702438], [96.072358, 110.721812, 111.551805, 113.472394, 545.287597], [114.448063, 132.651397, 132.788894, 136.847775, 636.368749], [9.242118, 10.569440, 11.234175, 11.476325, 98.578123], [54.109769, 61.620858, 61.697972, 64.312784, 295.097509], [15.222152, 16.713764, 16.935988, 17.122754, 85.261931], [35.795821, 41.639364, 42.136277, 42.437033, 252.928402], [21.181049, 25.287401, 25.534456, 25.545065, 142.862571]]
### 8
mean: [-1.168082, 4.228579, 3.736701, 5.617919, -2.118837, -3.348829, 4.208998, 2.655708]
std: [1.137968, 4.579991, 4.084735, 5.994477, 2.095671, 3.387947, 4.718716, 2.561931]
pca: [[-0.104027, -0.356373, 0.784379, -0.002197, 0.114477, -0.113385, -0.130048, 0.451715, 0.000000, 0.000000], [0.418819, 0.168403, 0.241037, 0.612373, -0.353508, -0.281459, 0.395062, -0.053582, 0.000000, 0.000000], [0.373520, -0.421937, -0.286064, 0.053617, 0.434007, 0.243900, 0.483619, 0.340599, 0.000000, 0.000000], [0.548170, -0.065558, 0.175992, -0.041638, 0.490499, -0.188549, -0.360158, -0.506607, 0.000000, 0.000000], [-0.191638, -0.102484, -0.130272, 0.759349, 0.154622, 0.366930, -0.446984, 0.029148, 0.000000, 0.000000], [-0.309793, 0.507909, 0.329023, 0.070822, 0.510604, 0.255003, 0.414511, -0.187679, 0.000000, 0.000000], [0.431505, 0.194367, 0.247418, -0.196765, -0.313955, 0.747308, -0.127658, 0.052525, 0.000000, 0.000000], [0.234240, 0.596705, -0.165537, -0.006570, 0.223120, -0.233993, -0.274775, 0.617731, 0.000000, 0.000000]]
fourier: [[17.655500, 20.598839, 20.680636, 21.082591, 105.127338], [72.101699, 81.663815, 81.942933, 84.871544, 380.572095], [64.508346, 72.372936, 72.449946, 76.038697, 336.303056], [94.494266, 106.699755, 106.884397, 111.249577, 505.612717], [32.997866, 37.410906, 37.493566, 38.837383, 190.695330], [53.565320, 59.836373, 59.978284, 63.149801, 301.394581], [74.287203, 84.174501, 84.424317, 87.447739, 378.809785], [40.054169, 46.095721, 46.391502, 47.308404, 239.013719]]
### 10
mean: [-0.815347, -1.717055, 1.287959, -0.128653, 4.024482, -1.999565, -0.498413, 6.742135]
std: [0.584635, 1.492839, 0.516182, 0.060091, 4.490554, 2.003441, 0.684504, 7.340922]
pca: [[-0.064807, 0.037340, -0.456675, -0.022728, 0.208207, 0.806743, -0.189124, -0.235340, 0.000000, 0.000000], [-0.165487, 0.068752, 0.788331, 0.090635, 0.499401, 0.252706, -0.021772, -0.156431, 0.000000, 0.000000], [0.057037, 0.599722, 0.208308, -0.326829, -0.334165, 0.323959, 0.002271, 0.519855, 0.000000, 0.000000], [0.004872, -0.590634, 0.244827, -0.333984, -0.427913, 0.332530, 0.416605, -0.111344, 0.000000, 0.000000], [0.497804, 0.241941, 0.106130, 0.641199, -0.312994, 0.166976, 0.259379, -0.279521, 0.000000, 0.000000], [-0.222085, -0.270140, -0.098237, 0.505070, 0.163722, 0.179071, 0.290634, 0.685287, 0.000000, 0.000000], [-0.075839, 0.329665, -0.213824, -0.227762, 0.343163, -0.094878, 0.798571, -0.153281, 0.000000, 0.000000], [0.813790, -0.212540, -0.003781, -0.234092, 0.412240, 0.028823, -0.027072, 0.257396, 0.000000, 0.000000]]
fourier: [[9.309088, 10.234084, 10.292733, 10.895254, 73.381253], [24.026662, 26.197345, 26.258070, 27.459104, 154.534981], [7.926869, 9.608972, 9.609453, 9.687532, 115.916287], [0.895292, 1.169878, 1.170686, 1.172065, 11.578805], [71.555959, 79.337237, 79.428380, 83.081241, 362.203334], [31.756310, 35.544148, 35.552866, 37.104778, 179.960886], [11.184290, 11.712218, 11.772196, 12.660006, 44.857195], [117.486155, 129.104586, 129.151657, 135.757966, 606.792091]]
### 12
mean: [-2.164763]
std: [3.269864]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[52.991867, 56.863044, 56.922160, 60.308662, 194.828685]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.934681, 0.643079, 0.300677, 0.51338, -0.260818], [-0.176858, -0.184279, -0.032595, -0.140582, -0.092264], [0.852436, 0.044604, 0.515259, -0.241166, -0.394963], [0.817435, 0.483278, -0.662227, 0.248307, 0.074557], [0.869126, 0.448297, 0.374497, 0.376986, -0.070768], [0.675492, 0.255463, 0.35798, 0.53754, -0.201903], [0.495804, -0.082829, 0.287242, 0.093956, -0.102821], [0.037147, 0.659298, -0.111129, -0.214535, 0.234801]], "network.0.bias": [-0.283438, -0.289482, -0.261394, -0.177305, -0.230717, -0.331235, -0.098723, -0.059387], "network.2.weight": [[0.146563, -0.131736, 0.559363, 0.439902, 0.061953, 0.423436, 0.256936, 0.234629], [-0.018802, 0.35137, -0.279902, -0.265025, -0.29382, -0.110135, -0.443678, -0.224434], [0.500375, -0.281466, 0.218325, 0.313482, 0.287134, 0.295296, 0.228078, 0.38427], [0.459458, 0.008196, 0.690212, 0.428107, 0.309128, 0.396405, -0.197972, 0.68782], [0.505935, -0.153416, 0.591569, 0.321937, 0.308521, 0.055569, 0.184043, 0.34893], [-0.17935, -0.057496, 0.139884, -0.073175, 0.081545, 0.043103, -0.348442, -0.313699], [-0.072934, 0.334634, 0.313623, -0.198691, 0.14942, -0.066246, 0.002173, 0.714401], [-0.56439, -0.088759, -0.505776, 0.215796, 0.060213, -0.23971, 0.25646, -0.331779]], "network.2.bias": [-0.066364, 0.082354, -0.328395, -0.45557, -0.067043, -0.163908, -0.060932, 0.283201], "network.4.weight": [[0.26695, -0.081097, 0.234339, 0.583667, -0.076371, -0.250899, 0.159942, -0.487122], [0.071366, -0.188572, 0.252602, 0.666716, 0.178007, 0.11957, -0.120627, -0.342685], [-0.296449, -0.330893, -0.10821, -0.378094, -0.267176, 0.236133, -0.259029, 0.13029], [-0.375993, 0.175569, 0.052885, -0.059884, -0.190195, -0.050467, 0.265672, -0.230895], [0.293419, -0.062824, 0.068748, -0.124721, 0.265793, -0.096792, 0.132078, -0.2646], [0.171662, 0.306638, -0.083372, 0.443727, 0.247716, -0.180566, -0.034594, -0.004165], [0.328358, -0.012959, 0.355654, 0.295766, 0.219937, 0.158928, 0.107523, -0.307663], [0.145428, -0.343444, -0.1926, -0.206069, 0.076937, -0.05925, -0.242212, -0.212173]], "network.4.bias": [-0.435857, -0.05136, -0.410874, -0.244871, 0.018007, -0.563411, -0.08269, -0.097973], "network.6.weight": [[0.279819, -0.353477, 0.003955, 0.17214, -0.287837, -0.041048, -0.428199, 0.122422], [0.384227, 0.399987, -0.109418, -0.098934, 0.350888, 0.313785, 0.117701, 0.274347], [0.393931, 0.507984, 0.052965, 0.208596, -0.176601, 0.368226, 0.399796, -0.049755], [0.031466, 0.166878, 0.063325, -0.305931, -0.073945, 0.125031, -0.37548, -0.082762], [0.162599, 0.208779, 0.481573, 0.105141, -0.256781, 0.454395, 0.11396, 0.135331], [-0.176097, 0.142252, 0.325748, 0.094054, -0.055643, -0.139421, -0.06283, 0.302842], [-0.102813, -0.327867, -0.205252, 0.286661, -0.35278, -0.042766, 0.137194, -0.129711], [-0.183239, 0.020462, -0.246344, 0.278345, -0.16712, 0.283519, -0.258739, 0.009658]], "network.6.bias": [0.19554, -0.227163, -0.441998, -0.387735, -0.121156, -0.053243, -0.402507, -0.048883], "network.8.weight": [[0.39834, -0.075759, -0.163132, 0.25904, 0.15346, -0.054492, -0.243208, -0.081122], [-0.091472, 0.378801, 0.09895, -0.132921, 0.446006, -0.198821, -0.21026, -0.041012], [0.211819, -0.051243, 0.396326, -0.090557, 0.437164, -0.310678, 0.262834, 0.013928], [0.121571, 0.293861, 0.384489, 0.306728, 0.402613, 0.305967, -0.03498, -0.058644], [-0.077239, -0.139456, -0.260548, 0.3303, 0.192541, -0.18424, -0.227478, -0.010298], [-0.261092, 0.134677, -0.386432, 0.242395, -0.404458, -0.220994, -0.246195, -0.228172], [-0.006799, 0.359922, 0.274999, 0.007489, 0.146194, 0.247889, 0.370765, 0.309408], [-0.39863, 0.365268, 0.108056, -0.129345, -0.13782, -0.108223, -0.151689, 0.038425]], "network.8.bias": [-0.059442, -0.24787, -0.218789, -0.237105, -0.047246, -0.078074, -0.420739, 0.126446], "network.10.weight": [[-0.204836, 0.155774, -0.000798, -0.281321, -0.285242, 0.238479, 0.028122, 0.100543], [0.127418, 0.023346, -0.114429, 0.173953, 0.156177, -0.262378, -0.345602, -0.219697], [0.050217, -0.022483, 0.153545, 0.018518, -0.161527, -0.346464, -0.253005, 0.414639], [-0.472404, 0.057187, 0.291179, -0.128173, 0.127749, -0.052943, 0.068733, -0.372344], [-0.264926, 0.471135, -0.131957, 0.384511, -0.158174, 0.103499, 0.056027, 0.128905], [0.069068, 0.210817, -0.316428, -0.115384, 0.111909, -0.067523, -0.033063, -0.326252], [-0.427394, -0.23955, -0.042069, 0.003541, 0.281195, -0.05812, -0.007484, 0.229585], [0.231986, -0.057863, 0.544556, 0.396761, 0.226438, -0.165339, 0.511887, 0.251894]], "network.10.bias": [-0.274552, -0.308045, 0.680925, -0.049356, -0.241799, -0.047668, 0.085203, -0.160649], "network.12.weight": [[-0.048312, 0.28533, 0.460304, 0.077127, -0.251825, -0.064883, 0.113037, -0.325442]], "network.12.bias": [0.464087]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6859598457813263, "train_acc": 0.46, "val_loss": 0.7191872596740723, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6579839289188385, "train_acc": 0.59, "val_loss": 0.6860466599464417, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6173037886619568, "train_acc": 0.59, "val_loss": 0.6326054334640503, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6352832615375519, "train_acc": 0.51, "val_loss": 0.562231719493866, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.578501969575882, "train_acc": 0.705, "val_loss": 0.5319094657897949, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5427355170249939, "train_acc": 0.82, "val_loss": 0.44668957591056824, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5112594664096832, "train_acc": 0.745, "val_loss": 0.40562698245048523, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4477576017379761, "train_acc": 0.805, "val_loss": 0.35571640729904175, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4074952155351639, "train_acc": 0.84, "val_loss": 0.33029377460479736, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3672787696123123, "train_acc": 0.865, "val_loss": 0.31918883323669434, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3149379938840866, "train_acc": 0.89, "val_loss": 0.26455581188201904, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2903616577386856, "train_acc": 0.915, "val_loss": 0.2505743205547333, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.24115301668643951, "train_acc": 0.93, "val_loss": 0.31213057041168213, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7191872596740723, "final_val_loss": 0.6326054334640503, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.562231719493866, "final_val_loss": 0.31213057041168213, "initial_val_acc": 0.64, "final_val_acc": 0.88, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.4799999999999999, "first_improvement_epoch": 2}}
|
9,998
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3901, "learning_rate": 0.07894973474586021, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.043903,
-0.064475
],
"network.12.weight": [
[
0.842422,
-0.368089,
0.626528,
-0.347208,
-0.440998
]
],
"network.12.bias": [
0.123805
]
}
## Activation Signature
### 0
mean: [-0.268126, -1.611537, -3.879488, 0.183140, 0.890876]
std: [1.481546, 1.795159, 2.420150, 1.215401, 1.586119]
pca: [[0.147659, 0.726768, -0.472787, 0.134606, -0.456463, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.520798, 0.354091, 0.102137, 0.291950, 0.712547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668274, -0.561213, -0.431908, 0.116911, -0.195543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.241820, 0.016346, 0.698057, 0.473793, -0.479054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449332, -0.176637, -0.303666, 0.811479, 0.127235, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.977467, 24.131331, 24.659601, 29.095239, 29.837220], [30.423118, 31.667962, 31.706019, 40.475760, 145.038304], [34.780126, 39.017166, 46.354558, 46.739152, 349.153978], [17.668068, 18.427177, 18.677480, 18.900827, 24.510013], [26.396745, 26.705021, 27.431259, 29.288933, 80.178870]]
### 2
mean: [0.027233, 0.075173, 0.701196, 0.259077, -0.043136]
std: [1.122895, 0.758200, 1.099447, 1.095251, 0.907516]
pca: [[0.491448, 0.839217, -0.084486, 0.197885, 0.088870, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.337396, 0.025410, 0.618784, -0.427500, -0.565569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490243, 0.241099, 0.704767, 0.418023, 0.173478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490309, -0.303071, 0.334748, -0.119882, 0.735743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.404848, -0.380905, 0.034882, 0.767444, -0.317524, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.955578, 17.386309, 18.722508, 21.327549, 23.451564], [12.471299, 12.526814, 13.880545, 14.066359, 14.871814], [17.422859, 20.272820, 20.894793, 22.799887, 63.107629], [17.468516, 20.253223, 21.130720, 21.752021, 23.316942], [14.038264, 14.143976, 16.807188, 17.642832, 18.077234]]
### 4
mean: [-0.932524, 0.672056, -0.449143, 0.340082, -0.041599]
std: [0.633499, 1.845791, 0.251552, 1.900613, 0.735579]
pca: [[0.207013, 0.858056, -0.277130, -0.356824, -0.129463, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654855, -0.136139, -0.140669, -0.100527, 0.723006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084321, 0.280738, -0.381465, 0.859139, 0.174471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.674411, 0.058139, 0.457011, 0.344160, -0.463124, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257624, 0.403747, 0.740970, 0.077492, 0.464303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.389531, 10.932752, 11.227393, 11.309047, 83.927184], [30.526607, 33.770235, 34.485144, 36.906473, 60.485069], [4.031379, 4.485839, 4.646160, 5.527802, 40.422892], [30.607362, 31.596456, 34.690325, 35.213761, 37.575693], [11.242752, 11.575629, 13.533104, 14.061714, 15.257600]]
### 6
mean: [0.730022, 1.343886, 1.971360, 0.402820, 1.569291]
std: [0.355994, 0.766842, 1.087705, 0.444762, 0.855799]
pca: [[0.210229, -0.608063, 0.160125, -0.458377, -0.591873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456128, -0.378056, -0.223521, 0.766965, -0.104037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.646793, 0.649619, -0.111026, -0.145010, -0.355385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.264701, 0.034334, 0.931823, 0.156764, 0.189435, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.509257, -0.253277, -0.209232, -0.395034, 0.690419, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.635133, 6.351101, 6.797075, 7.759819, 65.702002], [12.650135, 13.640995, 14.310633, 16.781473, 120.949770], [18.447677, 19.020288, 19.858612, 23.902705, 177.422426], [7.437648, 7.839446, 8.271745, 9.731669, 36.253818], [14.177873, 15.124668, 15.918456, 18.799528, 141.236195]]
### 8
mean: [-3.951507, -2.698929, 2.954751, 4.444205, -1.403992]
std: [2.683735, 2.042009, 1.849783, 2.706436, 0.621874]
pca: [[-0.565727, -0.062451, 0.679597, -0.217367, 0.408599, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430418, 0.735026, -0.450227, 0.004921, 0.267860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389929, 0.243273, 0.300580, 0.703381, 0.451310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570515, 0.188331, 0.015159, -0.668742, 0.437721, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131006, -0.600988, -0.494839, 0.103764, 0.604994, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.194986, 47.454475, 49.015930, 59.102429, 355.635643], [34.356359, 36.285713, 37.303296, 44.860048, 242.903566], [31.064761, 32.673014, 33.870207, 40.778749, 265.927624], [45.504232, 47.839940, 49.500534, 59.630873, 399.978486], [10.362164, 10.873939, 11.464302, 13.784102, 126.359310]]
### 10
mean: [-4.475323, 2.624326, -3.940900, 3.447613, 3.370224]
std: [3.392892, 1.823146, 2.898512, 2.263609, 2.209766]
pca: [[0.588465, 0.461137, -0.101521, 0.190170, -0.628165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316153, 0.731110, -0.516549, -0.137989, 0.282243, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502727, 0.198670, 0.247986, 0.399469, 0.697655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.392609, -0.086152, -0.190451, 0.885844, -0.132081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383249, 0.453806, 0.790634, 0.022356, -0.146898, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.521408, 59.896147, 62.698094, 74.713050, 402.779036], [30.113300, 32.261932, 33.925990, 39.939732, 236.189348], [48.232940, 51.197379, 53.603190, 63.779074, 354.681037], [37.641386, 39.989005, 41.889693, 49.778343, 310.285152], [36.634275, 38.995822, 41.067204, 48.565139, 303.320167]]
### 12
mean: [-3.355707]
std: [2.705857]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.548587, 47.764810, 51.233048, 58.974541, 302.013639]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.48808,
0.301329,
0.387844,
-0.047591,
-0.531759
],
[
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-0.083971,
0.111308,
-0.177494
],
[
-0.355116,
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-0.108283,
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],
[
-0.327127,
-0.082305,
-0.19919,
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0.220334
],
[
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]
],
"network.0.bias": [
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0.007149
],
"network.2.weight": [
[
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],
[
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0.185842,
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0.425109
],
[
0.756632,
-0.779701,
-0.455048,
0.417603,
-0.441903
],
[
-0.501121,
0.231333,
0.263006,
-0.34416,
0.54449
],
[
-0.469417,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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-0.529603
],
[
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0.261991,
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],
[
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],
[
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0.506011,
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]
],
"network.4.bias": [
-0.419265,
0.81727,
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0.510218,
0.010263
],
"network.6.weight": [
[
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],
[
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0.49967,
0.223988,
0.386521,
-0.286986
],
[
-0.574979,
0.705026,
-0.429509,
0.725293,
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],
[
0.274148,
0.369794,
0.394944,
0.172562,
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],
[
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0.296865,
-0.192026
]
],
"network.6.bias": [
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0.448327,
0.373788,
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0.41177
],
"network.8.weight": [
[
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-0.757741
],
[
-1.168897,
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-0.660278
],
[
0.333564,
0.386471,
0.602048,
0.168095,
0.802605
],
[
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0.823844,
0.87192,
0.362486,
0.887853
],
[
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0.085782,
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0.356558,
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]
],
"network.8.bias": [
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0.609435,
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],
"network.10.weight": [
[
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0.699507,
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-0.253565
],
[
-0.837146,
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0.559671,
0.138457
],
[
0.611676,
0.628854,
-0.284697,
-0.824444,
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],
[
-0.683494,
-0.39608,
0.404471,
0.527082,
-0.133061
],
[
-0.410581,
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]
],
"network.10.bias": [
0.715155,
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],
"network.12.weight": [
[
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-0.368089,
0.626528,
-0.347208,
-0.440998
]
],
"network.12.bias": [
0.123805
]
}
## Activation Signature
### 0
mean: [-0.268126, -1.611537, -3.879488, 0.183140, 0.890876]
std: [1.481546, 1.795159, 2.420150, 1.215401, 1.586119]
pca: [[0.147659, 0.726768, -0.472787, 0.134606, -0.456463, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.520798, 0.354091, 0.102137, 0.291950, 0.712547, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.668274, -0.561213, -0.431908, 0.116911, -0.195543, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.241820, 0.016346, 0.698057, 0.473793, -0.479054, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.449332, -0.176637, -0.303666, 0.811479, 0.127235, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[21.977467, 24.131331, 24.659601, 29.095239, 29.837220], [30.423118, 31.667962, 31.706019, 40.475760, 145.038304], [34.780126, 39.017166, 46.354558, 46.739152, 349.153978], [17.668068, 18.427177, 18.677480, 18.900827, 24.510013], [26.396745, 26.705021, 27.431259, 29.288933, 80.178870]]
### 2
mean: [0.027233, 0.075173, 0.701196, 0.259077, -0.043136]
std: [1.122895, 0.758200, 1.099447, 1.095251, 0.907516]
pca: [[0.491448, 0.839217, -0.084486, 0.197885, 0.088870, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.337396, 0.025410, 0.618784, -0.427500, -0.565569, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.490243, 0.241099, 0.704767, 0.418023, 0.173478, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.490309, -0.303071, 0.334748, -0.119882, 0.735743, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.404848, -0.380905, 0.034882, 0.767444, -0.317524, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[16.955578, 17.386309, 18.722508, 21.327549, 23.451564], [12.471299, 12.526814, 13.880545, 14.066359, 14.871814], [17.422859, 20.272820, 20.894793, 22.799887, 63.107629], [17.468516, 20.253223, 21.130720, 21.752021, 23.316942], [14.038264, 14.143976, 16.807188, 17.642832, 18.077234]]
### 4
mean: [-0.932524, 0.672056, -0.449143, 0.340082, -0.041599]
std: [0.633499, 1.845791, 0.251552, 1.900613, 0.735579]
pca: [[0.207013, 0.858056, -0.277130, -0.356824, -0.129463, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.654855, -0.136139, -0.140669, -0.100527, 0.723006, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.084321, 0.280738, -0.381465, 0.859139, 0.174471, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.674411, 0.058139, 0.457011, 0.344160, -0.463124, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.257624, 0.403747, 0.740970, 0.077492, 0.464303, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[10.389531, 10.932752, 11.227393, 11.309047, 83.927184], [30.526607, 33.770235, 34.485144, 36.906473, 60.485069], [4.031379, 4.485839, 4.646160, 5.527802, 40.422892], [30.607362, 31.596456, 34.690325, 35.213761, 37.575693], [11.242752, 11.575629, 13.533104, 14.061714, 15.257600]]
### 6
mean: [0.730022, 1.343886, 1.971360, 0.402820, 1.569291]
std: [0.355994, 0.766842, 1.087705, 0.444762, 0.855799]
pca: [[0.210229, -0.608063, 0.160125, -0.458377, -0.591873, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.456128, -0.378056, -0.223521, 0.766965, -0.104037, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.646793, 0.649619, -0.111026, -0.145010, -0.355385, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.264701, 0.034334, 0.931823, 0.156764, 0.189435, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.509257, -0.253277, -0.209232, -0.395034, 0.690419, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[5.635133, 6.351101, 6.797075, 7.759819, 65.702002], [12.650135, 13.640995, 14.310633, 16.781473, 120.949770], [18.447677, 19.020288, 19.858612, 23.902705, 177.422426], [7.437648, 7.839446, 8.271745, 9.731669, 36.253818], [14.177873, 15.124668, 15.918456, 18.799528, 141.236195]]
### 8
mean: [-3.951507, -2.698929, 2.954751, 4.444205, -1.403992]
std: [2.683735, 2.042009, 1.849783, 2.706436, 0.621874]
pca: [[-0.565727, -0.062451, 0.679597, -0.217367, 0.408599, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.430418, 0.735026, -0.450227, 0.004921, 0.267860, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.389929, 0.243273, 0.300580, 0.703381, 0.451310, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.570515, 0.188331, 0.015159, -0.668742, 0.437721, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.131006, -0.600988, -0.494839, 0.103764, 0.604994, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[45.194986, 47.454475, 49.015930, 59.102429, 355.635643], [34.356359, 36.285713, 37.303296, 44.860048, 242.903566], [31.064761, 32.673014, 33.870207, 40.778749, 265.927624], [45.504232, 47.839940, 49.500534, 59.630873, 399.978486], [10.362164, 10.873939, 11.464302, 13.784102, 126.359310]]
### 10
mean: [-4.475323, 2.624326, -3.940900, 3.447613, 3.370224]
std: [3.392892, 1.823146, 2.898512, 2.263609, 2.209766]
pca: [[0.588465, 0.461137, -0.101521, 0.190170, -0.628165, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.316153, 0.731110, -0.516549, -0.137989, 0.282243, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [0.502727, 0.198670, 0.247986, 0.399469, 0.697655, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.392609, -0.086152, -0.190451, 0.885844, -0.132081, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000], [-0.383249, 0.453806, 0.790634, 0.022356, -0.146898, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[56.521408, 59.896147, 62.698094, 74.713050, 402.779036], [30.113300, 32.261932, 33.925990, 39.939732, 236.189348], [48.232940, 51.197379, 53.603190, 63.779074, 354.681037], [37.641386, 39.989005, 41.889693, 49.778343, 310.285152], [36.634275, 38.995822, 41.067204, 48.565139, 303.320167]]
### 12
mean: [-3.355707]
std: [2.705857]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[43.548587, 47.764810, 51.233048, 58.974541, 302.013639]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868740320205688, "train_acc": 0.58, "val_loss": 0.7150905132293701, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6701149344444275, "train_acc": 0.58, "val_loss": 0.6129535436630249, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5265055298805237, "train_acc": 0.64, "val_loss": 0.5446254014968872, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.38875824213027954, "train_acc": 0.865, "val_loss": 0.22700943052768707, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3224799335002899, "train_acc": 0.895, "val_loss": 0.18835251033306122, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.22733517736196518, "train_acc": 0.925, "val_loss": 0.1693662703037262, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.20756497234106064, "train_acc": 0.94, "val_loss": 0.10073068737983704, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.20013685524463654, "train_acc": 0.94, "val_loss": 0.1179761290550232, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1954459398984909, "train_acc": 0.94, "val_loss": 0.212239608168602, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19542504847049713, "train_acc": 0.935, "val_loss": 0.15122367441654205, "val_acc": 0.96}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7150905132293701, "final_val_loss": 0.6129535436630249, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5446254014968872, "final_val_loss": 0.15122367441654205, "initial_val_acc": 0.82, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.5, "first_improvement_epoch": 1}}
|
9,999
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.88, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7431, "learning_rate": 0.06559979076617929, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.356054, -2.825194, -2.736876, 0.242806, 1.723443, 2.638276, 1.052836, -0.840843]
std: [2.431116, 1.860669, 1.691353, 2.000546, 2.768521, 2.383423, 2.673562, 0.769509]
pca: [[0.269489, -0.465767, 0.677541, -0.093185, -0.339001, 0.164882, 0.211891, 0.235980, 0.000000, 0.000000], [-0.182917, -0.455832, -0.260010, 0.263637, -0.408789, 0.361724, -0.144700, -0.550234, 0.000000, 0.000000], [-0.175426, -0.409293, -0.201988, 0.336608, 0.413167, 0.322919, -0.135724, 0.595143, 0.000000, 0.000000], [0.430450, -0.013815, -0.023349, -0.378002, 0.501594, 0.561811, 0.050416, -0.318309, 0.000000, 0.000000], [-0.475732, 0.395385, 0.509760, 0.358052, 0.172304, 0.367083, 0.185713, -0.174257, 0.000000, 0.000000], [0.352270, 0.500729, -0.177062, 0.166163, -0.464624, 0.462124, -0.174313, 0.326184, 0.000000, 0.000000], [0.570698, -0.021526, 0.059359, 0.713900, 0.200940, -0.259893, 0.103205, -0.205161, 0.000000, 0.000000], [-0.041765, -0.006604, -0.370485, 0.012486, -0.098617, 0.078791, 0.915246, 0.084781, 0.000000, 0.000000]]
fourier: [[34.468168, 35.795046, 38.832744, 41.122197, 41.679693], [28.360317, 31.082136, 34.193543, 38.252030, 254.267422], [27.481416, 28.034879, 28.333812, 34.545293, 246.318818], [27.799681, 32.274069, 36.295933, 37.599245, 43.459396], [42.335354, 42.439986, 43.241020, 49.807703, 155.109882], [39.816891, 42.805987, 47.658566, 52.009341, 237.444836], [42.749604, 44.676195, 50.901082, 56.783611, 94.755202], [10.990548, 11.226494, 13.690793, 15.250033, 75.675907]]
### 2
mean: [0.197559, 1.541338, 2.397865, 2.994468, -1.248048, 2.111540, -0.096592, -1.897812]
std: [1.790211, 2.605766, 2.792719, 4.131162, 1.080988, 3.520755, 2.284934, 1.338678]
pca: [[0.201173, -0.432714, 0.108053, 0.786510, 0.284136, 0.040114, -0.032035, -0.242170, 0.000000, 0.000000], [0.378054, -0.070207, 0.028448, 0.065360, -0.506106, 0.715768, 0.231152, 0.158639, 0.000000, 0.000000], [0.381754, -0.293858, -0.448857, -0.232822, -0.199485, -0.352255, 0.374515, -0.456171, 0.000000, 0.000000], [0.546193, 0.688943, 0.216572, 0.240288, 0.013341, -0.304971, 0.165393, 0.042996, 0.000000, 0.000000], [-0.100310, -0.325430, 0.127447, 0.199811, -0.408445, -0.491268, 0.196249, 0.617398, 0.000000, 0.000000], [0.501828, -0.278662, -0.029140, -0.339318, 0.566579, 0.048915, -0.045275, 0.478619, 0.000000, 0.000000], [-0.314062, 0.193883, -0.412104, 0.202981, 0.341950, 0.157994, 0.684762, 0.204823, 0.000000, 0.000000], [-0.109604, -0.160269, 0.743113, -0.262533, 0.135579, 0.016667, 0.518134, -0.232460, 0.000000, 0.000000]]
fourier: [[26.182349, 28.148999, 28.261460, 31.376757, 41.366747], [41.792521, 44.733924, 58.306158, 58.350831, 138.720428], [47.959595, 49.662801, 56.574002, 64.414241, 215.807854], [58.384232, 59.769911, 72.288473, 92.800831, 269.502124], [16.546392, 17.709935, 17.857535, 19.413817, 112.324294], [61.326839, 61.575246, 73.717971, 79.810437, 190.038637], [30.206522, 35.789487, 45.672852, 45.745472, 50.783835], [21.357779, 21.646005, 22.466432, 26.050416, 170.803105]]
### 4
mean: [-1.580391, 5.406579, 2.467718, -4.478854, -1.427290, -2.548578, -2.702784, 0.044605]
std: [1.664099, 8.095610, 4.317814, 4.437062, 1.148014, 2.606013, 2.954839, 1.348228]
pca: [[-0.130679, 0.383257, -0.094313, -0.039705, -0.336843, 0.597482, -0.415776, -0.426905, 0.000000, 0.000000], [0.738875, 0.060704, -0.337875, 0.181813, 0.432389, 0.127256, 0.037938, -0.313959, 0.000000, 0.000000], [0.379247, 0.532247, 0.151623, 0.297414, -0.473304, 0.000648, 0.294149, 0.388459, 0.000000, 0.000000], [-0.401689, 0.217674, -0.466754, 0.433781, -0.080796, -0.381611, 0.298239, -0.379654, 0.000000, 0.000000], [-0.097249, -0.127569, -0.459567, 0.429165, 0.064594, 0.119685, -0.487450, 0.568138, 0.000000, 0.000000], [-0.196969, 0.656880, 0.268447, -0.007932, 0.603621, -0.168701, -0.231873, 0.104886, 0.000000, 0.000000], [-0.269077, 0.071729, -0.218632, -0.132941, 0.283768, 0.601455, 0.595362, 0.245459, 0.000000, 0.000000], [-0.105587, -0.256612, 0.552296, 0.697730, 0.141341, 0.276877, 0.066279, -0.173529, 0.000000, 0.000000]]
fourier: [[25.737859, 29.525560, 31.213153, 36.709839, 142.235222], [127.957800, 134.042717, 171.751840, 184.634294, 486.592116], [64.090530, 64.975034, 81.565060, 98.038668, 222.094637], [72.643477, 76.344745, 96.014332, 101.169565, 403.096843], [17.424266, 18.142970, 21.010306, 26.615527, 128.456076], [40.915463, 43.832872, 44.662878, 59.304162, 229.371984], [47.828923, 48.507857, 63.161540, 67.488050, 243.250581], [21.439258, 22.157265, 22.966045, 23.971086, 26.314439]]
### 6
mean: [-3.129263, -2.428668, -0.557906, -0.283740, 4.085533, -1.823607, 2.523885, -2.059685]
std: [3.614249, 3.053981, 0.579398, 0.429052, 6.062646, 1.845838, 4.180765, 2.188796]
pca: [[-0.391753, -0.016322, 0.586382, -0.204672, 0.021372, 0.188333, -0.469559, 0.451793, 0.000000, 0.000000], [-0.329774, 0.484037, -0.168411, -0.290147, -0.159978, -0.350599, 0.449846, 0.439926, 0.000000, 0.000000], [-0.057346, 0.335003, 0.005488, 0.401555, -0.379018, 0.726224, 0.215305, 0.076135, 0.000000, 0.000000], [0.012925, 0.574702, 0.058060, 0.435856, 0.661465, -0.112803, -0.161069, 0.002395, 0.000000, 0.000000], [0.658857, -0.182410, 0.252638, 0.155754, 0.074051, -0.055573, 0.266569, 0.604085, 0.000000, 0.000000], [-0.198977, -0.071497, 0.489114, 0.524987, -0.371875, -0.490510, 0.139145, -0.205427, 0.000000, 0.000000], [0.452358, 0.494997, 0.426577, -0.438154, -0.196538, -0.006283, -0.037629, -0.369215, 0.000000, 0.000000], [-0.236667, -0.198809, 0.373318, -0.175665, 0.458648, 0.240328, 0.642664, -0.230450, 0.000000, 0.000000]]
fourier: [[55.639111, 58.375904, 74.008427, 84.360227, 281.633675], [45.247187, 45.762847, 59.582954, 71.173352, 218.580117], [7.829522, 8.288730, 9.826862, 12.781682, 50.211566], [6.659137, 6.917704, 9.146749, 9.301702, 25.536567], [91.852202, 95.260270, 122.958723, 141.143609, 367.698057], [28.611522, 30.788911, 37.992207, 42.923419, 164.124621], [64.001270, 69.925369, 88.110492, 95.842388, 227.149654], [34.034679, 35.917419, 45.800686, 50.704523, 185.371676]]
### 8
mean: [-2.245122]
std: [3.910710]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.206400, 60.934524, 79.652347, 90.868960, 202.061003]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
mean: [-0.356054, -2.825194, -2.736876, 0.242806, 1.723443, 2.638276, 1.052836, -0.840843]
std: [2.431116, 1.860669, 1.691353, 2.000546, 2.768521, 2.383423, 2.673562, 0.769509]
pca: [[0.269489, -0.465767, 0.677541, -0.093185, -0.339001, 0.164882, 0.211891, 0.235980, 0.000000, 0.000000], [-0.182917, -0.455832, -0.260010, 0.263637, -0.408789, 0.361724, -0.144700, -0.550234, 0.000000, 0.000000], [-0.175426, -0.409293, -0.201988, 0.336608, 0.413167, 0.322919, -0.135724, 0.595143, 0.000000, 0.000000], [0.430450, -0.013815, -0.023349, -0.378002, 0.501594, 0.561811, 0.050416, -0.318309, 0.000000, 0.000000], [-0.475732, 0.395385, 0.509760, 0.358052, 0.172304, 0.367083, 0.185713, -0.174257, 0.000000, 0.000000], [0.352270, 0.500729, -0.177062, 0.166163, -0.464624, 0.462124, -0.174313, 0.326184, 0.000000, 0.000000], [0.570698, -0.021526, 0.059359, 0.713900, 0.200940, -0.259893, 0.103205, -0.205161, 0.000000, 0.000000], [-0.041765, -0.006604, -0.370485, 0.012486, -0.098617, 0.078791, 0.915246, 0.084781, 0.000000, 0.000000]]
fourier: [[34.468168, 35.795046, 38.832744, 41.122197, 41.679693], [28.360317, 31.082136, 34.193543, 38.252030, 254.267422], [27.481416, 28.034879, 28.333812, 34.545293, 246.318818], [27.799681, 32.274069, 36.295933, 37.599245, 43.459396], [42.335354, 42.439986, 43.241020, 49.807703, 155.109882], [39.816891, 42.805987, 47.658566, 52.009341, 237.444836], [42.749604, 44.676195, 50.901082, 56.783611, 94.755202], [10.990548, 11.226494, 13.690793, 15.250033, 75.675907]]
### 2
mean: [0.197559, 1.541338, 2.397865, 2.994468, -1.248048, 2.111540, -0.096592, -1.897812]
std: [1.790211, 2.605766, 2.792719, 4.131162, 1.080988, 3.520755, 2.284934, 1.338678]
pca: [[0.201173, -0.432714, 0.108053, 0.786510, 0.284136, 0.040114, -0.032035, -0.242170, 0.000000, 0.000000], [0.378054, -0.070207, 0.028448, 0.065360, -0.506106, 0.715768, 0.231152, 0.158639, 0.000000, 0.000000], [0.381754, -0.293858, -0.448857, -0.232822, -0.199485, -0.352255, 0.374515, -0.456171, 0.000000, 0.000000], [0.546193, 0.688943, 0.216572, 0.240288, 0.013341, -0.304971, 0.165393, 0.042996, 0.000000, 0.000000], [-0.100310, -0.325430, 0.127447, 0.199811, -0.408445, -0.491268, 0.196249, 0.617398, 0.000000, 0.000000], [0.501828, -0.278662, -0.029140, -0.339318, 0.566579, 0.048915, -0.045275, 0.478619, 0.000000, 0.000000], [-0.314062, 0.193883, -0.412104, 0.202981, 0.341950, 0.157994, 0.684762, 0.204823, 0.000000, 0.000000], [-0.109604, -0.160269, 0.743113, -0.262533, 0.135579, 0.016667, 0.518134, -0.232460, 0.000000, 0.000000]]
fourier: [[26.182349, 28.148999, 28.261460, 31.376757, 41.366747], [41.792521, 44.733924, 58.306158, 58.350831, 138.720428], [47.959595, 49.662801, 56.574002, 64.414241, 215.807854], [58.384232, 59.769911, 72.288473, 92.800831, 269.502124], [16.546392, 17.709935, 17.857535, 19.413817, 112.324294], [61.326839, 61.575246, 73.717971, 79.810437, 190.038637], [30.206522, 35.789487, 45.672852, 45.745472, 50.783835], [21.357779, 21.646005, 22.466432, 26.050416, 170.803105]]
### 4
mean: [-1.580391, 5.406579, 2.467718, -4.478854, -1.427290, -2.548578, -2.702784, 0.044605]
std: [1.664099, 8.095610, 4.317814, 4.437062, 1.148014, 2.606013, 2.954839, 1.348228]
pca: [[-0.130679, 0.383257, -0.094313, -0.039705, -0.336843, 0.597482, -0.415776, -0.426905, 0.000000, 0.000000], [0.738875, 0.060704, -0.337875, 0.181813, 0.432389, 0.127256, 0.037938, -0.313959, 0.000000, 0.000000], [0.379247, 0.532247, 0.151623, 0.297414, -0.473304, 0.000648, 0.294149, 0.388459, 0.000000, 0.000000], [-0.401689, 0.217674, -0.466754, 0.433781, -0.080796, -0.381611, 0.298239, -0.379654, 0.000000, 0.000000], [-0.097249, -0.127569, -0.459567, 0.429165, 0.064594, 0.119685, -0.487450, 0.568138, 0.000000, 0.000000], [-0.196969, 0.656880, 0.268447, -0.007932, 0.603621, -0.168701, -0.231873, 0.104886, 0.000000, 0.000000], [-0.269077, 0.071729, -0.218632, -0.132941, 0.283768, 0.601455, 0.595362, 0.245459, 0.000000, 0.000000], [-0.105587, -0.256612, 0.552296, 0.697730, 0.141341, 0.276877, 0.066279, -0.173529, 0.000000, 0.000000]]
fourier: [[25.737859, 29.525560, 31.213153, 36.709839, 142.235222], [127.957800, 134.042717, 171.751840, 184.634294, 486.592116], [64.090530, 64.975034, 81.565060, 98.038668, 222.094637], [72.643477, 76.344745, 96.014332, 101.169565, 403.096843], [17.424266, 18.142970, 21.010306, 26.615527, 128.456076], [40.915463, 43.832872, 44.662878, 59.304162, 229.371984], [47.828923, 48.507857, 63.161540, 67.488050, 243.250581], [21.439258, 22.157265, 22.966045, 23.971086, 26.314439]]
### 6
mean: [-3.129263, -2.428668, -0.557906, -0.283740, 4.085533, -1.823607, 2.523885, -2.059685]
std: [3.614249, 3.053981, 0.579398, 0.429052, 6.062646, 1.845838, 4.180765, 2.188796]
pca: [[-0.391753, -0.016322, 0.586382, -0.204672, 0.021372, 0.188333, -0.469559, 0.451793, 0.000000, 0.000000], [-0.329774, 0.484037, -0.168411, -0.290147, -0.159978, -0.350599, 0.449846, 0.439926, 0.000000, 0.000000], [-0.057346, 0.335003, 0.005488, 0.401555, -0.379018, 0.726224, 0.215305, 0.076135, 0.000000, 0.000000], [0.012925, 0.574702, 0.058060, 0.435856, 0.661465, -0.112803, -0.161069, 0.002395, 0.000000, 0.000000], [0.658857, -0.182410, 0.252638, 0.155754, 0.074051, -0.055573, 0.266569, 0.604085, 0.000000, 0.000000], [-0.198977, -0.071497, 0.489114, 0.524987, -0.371875, -0.490510, 0.139145, -0.205427, 0.000000, 0.000000], [0.452358, 0.494997, 0.426577, -0.438154, -0.196538, -0.006283, -0.037629, -0.369215, 0.000000, 0.000000], [-0.236667, -0.198809, 0.373318, -0.175665, 0.458648, 0.240328, 0.642664, -0.230450, 0.000000, 0.000000]]
fourier: [[55.639111, 58.375904, 74.008427, 84.360227, 281.633675], [45.247187, 45.762847, 59.582954, 71.173352, 218.580117], [7.829522, 8.288730, 9.826862, 12.781682, 50.211566], [6.659137, 6.917704, 9.146749, 9.301702, 25.536567], [91.852202, 95.260270, 122.958723, 141.143609, 367.698057], [28.611522, 30.788911, 37.992207, 42.923419, 164.124621], [64.001270, 69.925369, 88.110492, 95.842388, 227.149654], [34.034679, 35.917419, 45.800686, 50.704523, 185.371676]]
### 8
mean: [-2.245122]
std: [3.910710]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[60.206400, 60.934524, 79.652347, 90.868960, 202.061003]]
## 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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