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

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

Neuron 896 in Layer 0

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

Text #0

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Max Act: 0.0223. Min Act: -0.0002

Data Index: 1014016 (C4 (Web Text))

Max Activating Token Index: 543

Text #1

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Max Activating Token Index: 593

Text #2

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Max Act: 0.0219. Min Act: -0.0002

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Max Activating Token Index: 221

Text #3

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Data Index: 750417 (C4 (Web Text))

Max Activating Token Index: 925

Text #4

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Data Index: 565123 (C4 (Web Text))

Max Activating Token Index: 308

Text #5

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Max Activating Token Index: 107

Text #6

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Max Activating Token Index: 487

Text #7

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Max Activating Token Index: 856

Text #8

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Text #9

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Max Activating Token Index: 987

Text #10

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Max Activating Token Index: 390

Text #11

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Max Activating Token Index: 610

Text #12

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Max Activating Token Index: 721

Text #13

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Data Index: 222300 (C4 (Web Text))

Max Activating Token Index: 57

Text #14

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Max Activating Token Index: 728

Text #15

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Max Activating Token Index: 953

Text #16

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Text #17

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Max Activating Token Index: 271

Text #18

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Max Activating Token Index: 568

Text #19

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Data Index: 958340 (C4 (Web Text))

Max Activating Token Index: 18