Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 628 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0380. Min Act: -0.0003

Data Index: 472674 (C4 (Web Text))

Max Activating Token Index: 915

Text #1

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Data Index: 383491 (C4 (Web Text))

Max Activating Token Index: 696

Text #2

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Max Act: 0.0326. Min Act: -0.0003

Data Index: 466235 (C4 (Web Text))

Max Activating Token Index: 923

Text #3

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Max Act: 0.0328. Min Act: -0.0003

Data Index: 833497 (C4 (Web Text))

Max Activating Token Index: 754

Text #4

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Max Activating Token Index: 745

Text #5

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Data Index: 370693 (C4 (Web Text))

Max Activating Token Index: 353

Text #6

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Text #7

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Max Activating Token Index: 143

Text #8

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Max Activating Token Index: 273

Text #9

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Text #10

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Max Activating Token Index: 210

Text #11

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Max Activating Token Index: 488

Text #12

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Text #13

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Max Activating Token Index: 461

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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Text #19

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Data Index: 1189684 (C4 (Web Text))

Max Activating Token Index: 189