Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 58 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0278. Min Act: -0.0005
Data Index: 235087 (C4 (Web Text))
Max Activating Token Index: 192
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Full Text #0
Text #1
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Max Act: 0.0262. Min Act: -0.0006
Data Index: 222046 (C4 (Web Text))
Max Activating Token Index: 627
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Full Text #1
Text #2
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Data Index: 1267965 (C4 (Web Text))
Max Activating Token Index: 236
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Text #3
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Data Index: 987618 (C4 (Web Text))
Max Activating Token Index: 263
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Text #4
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Data Index: 138440 (C4 (Web Text))
Max Activating Token Index: 247
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Text #5
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Data Index: 427521 (C4 (Web Text))
Max Activating Token Index: 408
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Text #6
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Data Index: 1348326 (C4 (Web Text))
Max Activating Token Index: 487
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Text #7
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Data Index: 1220015 (C4 (Web Text))
Max Activating Token Index: 382
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Text #8
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Data Index: 400224 (C4 (Web Text))
Max Activating Token Index: 433
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Text #9
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Data Index: 1044009 (C4 (Web Text))
Max Activating Token Index: 478
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Text #10
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Data Index: 319443 (C4 (Web Text))
Max Activating Token Index: 187
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Text #11
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Data Index: 1023225 (C4 (Web Text))
Max Activating Token Index: 386
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Text #12
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Data Index: 979311 (C4 (Web Text))
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Text #13
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Data Index: 284076 (C4 (Web Text))
Max Activating Token Index: 345
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Text #14
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Data Index: 875919 (C4 (Web Text))
Max Activating Token Index: 267
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Text #15
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Max Act: 0.0249. Min Act: -0.0006
Data Index: 1340638 (C4 (Web Text))
Max Activating Token Index: 692
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Text #16
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Data Index: 876953 (C4 (Web Text))
Max Activating Token Index: 500
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Text #17
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Data Index: 438421 (C4 (Web Text))
Max Activating Token Index: 309
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Text #18
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Max Act: 0.0247. Min Act: -0.0006
Data Index: 784303 (C4 (Web Text))
Max Activating Token Index: 293
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Text #19
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Max Act: 0.0246. Min Act: -0.0005
Data Index: 267397 (C4 (Web Text))
Max Activating Token Index: 232
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