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

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

Neuron 1009 in Layer 0

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

Text #0

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Max Act: 0.0172. Min Act: -0.0002

Data Index: 1112597 (C4 (Web Text))

Max Activating Token Index: 716

Text #1

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Max Activating Token Index: 513

Text #2

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Max Act: 0.0164. Min Act: -0.0002

Data Index: 115714 (C4 (Web Text))

Max Activating Token Index: 649

Text #3

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Max Act: 0.0166. Min Act: -0.0002

Data Index: 418396 (C4 (Web Text))

Max Activating Token Index: 199

Text #4

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Data Index: 163539 (C4 (Web Text))

Max Activating Token Index: 74

Text #5

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Data Index: 153251 (C4 (Web Text))

Max Activating Token Index: 247

Text #6

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Max Activating Token Index: 797

Text #7

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Max Activating Token Index: 406

Text #8

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Max Activating Token Index: 69

Text #9

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Max Activating Token Index: 308

Text #10

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Max Activating Token Index: 45

Text #11

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Max Activating Token Index: 854

Text #12

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Max Activating Token Index: 153

Text #13

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Max Activating Token Index: 77

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 443699 (C4 (Web Text))

Max Activating Token Index: 462

Text #19

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Data Index: 64845 (C4 (Web Text))

Max Activating Token Index: 372