Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1610 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0206. Min Act: -0.0006

Data Index: 1218449 (C4 (Web Text))

Max Activating Token Index: 105

Text #1

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Max Act: 0.0205. Min Act: -0.0006

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Max Activating Token Index: 570

Text #2

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Max Act: 0.0211. Min Act: -0.0007

Data Index: 185853 (C4 (Web Text))

Max Activating Token Index: 221

Text #3

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Max Act: 0.0200. Min Act: -0.0006

Data Index: 215914 (C4 (Web Text))

Max Activating Token Index: 782

Text #4

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Max Act: 0.0194. Min Act: -0.0006

Data Index: 1197279 (C4 (Web Text))

Max Activating Token Index: 205

Text #5

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Max Act: 0.0194. Min Act: -0.0006

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Max Activating Token Index: 596

Text #6

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Data Index: 36907 (C4 (Web Text))

Max Activating Token Index: 115

Text #7

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Max Activating Token Index: 542

Text #8

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Max Activating Token Index: 42

Text #9

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Max Activating Token Index: 205

Text #10

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Max Activating Token Index: 84

Text #11

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Max Activating Token Index: 961

Text #12

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Data Index: 75195 (C4 (Web Text))

Max Activating Token Index: 557

Text #13

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Data Index: 1208163 (C4 (Web Text))

Max Activating Token Index: 242

Text #14

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Max Activating Token Index: 353

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 297

Text #18

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Max Activating Token Index: 125

Text #19

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Data Index: 1348809 (C4 (Web Text))

Max Activating Token Index: 888