Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 90 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0182. Min Act: -0.0004
Data Index: 1211716 (C4 (Web Text))
Max Activating Token Index: 879
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Full Text #0
Text #1
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Max Act: 0.0173. Min Act: -0.0003
Data Index: 240348 (C4 (Web Text))
Max Activating Token Index: 236
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Full Text #1
Text #2
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Data Index: 1188965 (C4 (Web Text))
Max Activating Token Index: 57
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Text #3
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Data Index: 586866 (C4 (Web Text))
Max Activating Token Index: 121
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Text #4
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Max Act: 0.0171. Min Act: -0.0003
Data Index: 401005 (C4 (Web Text))
Max Activating Token Index: 66
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Text #5
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Data Index: 1595037 (Python Code)
Max Activating Token Index: 828
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Text #6
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Data Index: 1150253 (C4 (Web Text))
Max Activating Token Index: 433
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Text #7
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Data Index: 566719 (C4 (Web Text))
Max Activating Token Index: 96
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Text #8
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Data Index: 1264999 (C4 (Web Text))
Max Activating Token Index: 334
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Text #9
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Data Index: 520673 (C4 (Web Text))
Max Activating Token Index: 616
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Text #10
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Data Index: 216780 (C4 (Web Text))
Max Activating Token Index: 605
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Text #11
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Data Index: 728997 (C4 (Web Text))
Max Activating Token Index: 381
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Text #12
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Data Index: 563296 (C4 (Web Text))
Max Activating Token Index: 485
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Text #13
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Data Index: 1364231 (Python Code)
Max Activating Token Index: 353
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Text #14
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Data Index: 1065271 (C4 (Web Text))
Max Activating Token Index: 276
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Text #15
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Data Index: 1013159 (C4 (Web Text))
Max Activating Token Index: 360
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Text #16
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Max Act: 0.0157. Min Act: -0.0004
Data Index: 435536 (C4 (Web Text))
Max Activating Token Index: 386
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Text #17
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Max Act: 0.0155. Min Act: -0.0003
Data Index: 1188962 (C4 (Web Text))
Max Activating Token Index: 490
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Text #18
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Data Index: 1151525 (C4 (Web Text))
Max Activating Token Index: 319
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Text #19
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Max Act: 0.0153. Min Act: -0.0004
Data Index: 533317 (C4 (Web Text))
Max Activating Token Index: 273
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