Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1163 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0300. Min Act: -0.0002

Data Index: 841008 (C4 (Web Text))

Max Activating Token Index: 108

Text #1

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Max Act: 0.0271. Min Act: -0.0003

Data Index: 52751 (C4 (Web Text))

Max Activating Token Index: 59

Text #2

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Max Act: 0.0276. Min Act: -0.0003

Data Index: 1326876 (C4 (Web Text))

Max Activating Token Index: 841

Text #3

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 712560 (C4 (Web Text))

Max Activating Token Index: 429

Text #4

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Max Act: 0.0251. Min Act: -0.0003

Data Index: 479921 (C4 (Web Text))

Max Activating Token Index: 160

Text #5

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Data Index: 466527 (C4 (Web Text))

Max Activating Token Index: 769

Text #6

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Data Index: 781190 (C4 (Web Text))

Max Activating Token Index: 96

Text #7

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Data Index: 340371 (C4 (Web Text))

Max Activating Token Index: 191

Text #8

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Data Index: 124255 (C4 (Web Text))

Max Activating Token Index: 574

Text #9

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Max Activating Token Index: 235

Text #10

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Max Activating Token Index: 521

Text #11

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Max Activating Token Index: 697

Text #12

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Max Activating Token Index: 914

Text #13

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Data Index: 884889 (C4 (Web Text))

Max Activating Token Index: 772

Text #14

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Max Activating Token Index: 757

Text #15

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Max Activating Token Index: 469

Text #16

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Max Activating Token Index: 429

Text #17

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Max Activating Token Index: 59

Text #18

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Data Index: 435311 (C4 (Web Text))

Max Activating Token Index: 513

Text #19

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Data Index: 1053857 (C4 (Web Text))

Max Activating Token Index: 265