Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 555 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0308. Min Act: -0.0006

Data Index: 811656 (C4 (Web Text))

Max Activating Token Index: 462

Text #1

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Data Index: 1206593 (C4 (Web Text))

Max Activating Token Index: 481

Text #2

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Max Act: 0.0272. Min Act: -0.0006

Data Index: 466980 (C4 (Web Text))

Max Activating Token Index: 562

Text #3

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Max Act: 0.0278. Min Act: -0.0006

Data Index: 1357013 (C4 (Web Text))

Max Activating Token Index: 122

Text #4

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Data Index: 1089023 (C4 (Web Text))

Max Activating Token Index: 174

Text #5

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Data Index: 543809 (C4 (Web Text))

Max Activating Token Index: 314

Text #6

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Max Activating Token Index: 286

Text #7

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Data Index: 389448 (C4 (Web Text))

Max Activating Token Index: 576

Text #8

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Data Index: 169586 (C4 (Web Text))

Max Activating Token Index: 30

Text #9

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Data Index: 393637 (C4 (Web Text))

Max Activating Token Index: 295

Text #10

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Max Activating Token Index: 303

Text #11

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Data Index: 16917 (C4 (Web Text))

Max Activating Token Index: 491

Text #12

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Max Activating Token Index: 667

Text #13

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Data Index: 785658 (C4 (Web Text))

Max Activating Token Index: 336

Text #14

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Data Index: 76406 (C4 (Web Text))

Max Activating Token Index: 74

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 136

Text #18

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Data Index: 276154 (C4 (Web Text))

Max Activating Token Index: 926

Text #19

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Data Index: 405482 (C4 (Web Text))

Max Activating Token Index: 88