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

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

Neuron 357 in Layer 0

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

Text #0

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 461867 (C4 (Web Text))

Max Activating Token Index: 291

Text #1

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Data Index: 560027 (C4 (Web Text))

Max Activating Token Index: 271

Text #2

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Max Act: 0.0175. Min Act: -0.0002

Data Index: 140677 (C4 (Web Text))

Max Activating Token Index: 770

Text #3

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Max Act: 0.0174. Min Act: -0.0002

Data Index: 860329 (C4 (Web Text))

Max Activating Token Index: 21

Text #4

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1250616 (C4 (Web Text))

Max Activating Token Index: 136

Text #5

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Max Activating Token Index: 110

Text #6

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Max Activating Token Index: 167

Text #7

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Max Activating Token Index: 167

Text #8

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Max Activating Token Index: 153

Text #9

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Max Activating Token Index: 158

Text #10

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Max Activating Token Index: 694

Text #11

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Max Activating Token Index: 174

Text #12

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Max Activating Token Index: 222

Text #13

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Max Activating Token Index: 100

Text #14

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Max Activating Token Index: 311

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: 660517 (C4 (Web Text))

Max Activating Token Index: 250

Text #19

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Data Index: 749656 (C4 (Web Text))

Max Activating Token Index: 369