Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 510 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0207. Min Act: -0.0002

Data Index: 1153418 (C4 (Web Text))

Max Activating Token Index: 249

Text #1

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Data Index: 934299 (C4 (Web Text))

Max Activating Token Index: 436

Text #2

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 804874 (C4 (Web Text))

Max Activating Token Index: 288

Text #3

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1113728 (C4 (Web Text))

Max Activating Token Index: 462

Text #4

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Data Index: 1229046 (C4 (Web Text))

Max Activating Token Index: 66

Text #5

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Data Index: 365636 (C4 (Web Text))

Max Activating Token Index: 822

Text #6

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Data Index: 1342629 (C4 (Web Text))

Max Activating Token Index: 146

Text #7

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Max Activating Token Index: 409

Text #8

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Data Index: 526856 (C4 (Web Text))

Max Activating Token Index: 826

Text #9

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Data Index: 541537 (C4 (Web Text))

Max Activating Token Index: 88

Text #10

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Max Activating Token Index: 34

Text #11

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Max Activating Token Index: 31

Text #12

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Data Index: 316698 (C4 (Web Text))

Max Activating Token Index: 57

Text #13

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Data Index: 310355 (C4 (Web Text))

Max Activating Token Index: 21

Text #14

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Data Index: 749576 (C4 (Web Text))

Max Activating Token Index: 12

Text #15

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Text #16

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Max Activating Token Index: 587

Text #17

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Max Activating Token Index: 33

Text #18

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Data Index: 981327 (C4 (Web Text))

Max Activating Token Index: 51

Text #19

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Max Act: 0.0173. Min Act: -0.0002

Data Index: 468530 (C4 (Web Text))

Max Activating Token Index: 27