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

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

Neuron 1647 in Layer 0

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

Text #0

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Max Act: 0.0202. Min Act: -0.0002

Data Index: 414249 (C4 (Web Text))

Max Activating Token Index: 907

Text #1

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Data Index: 284959 (C4 (Web Text))

Max Activating Token Index: 66

Text #2

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Max Act: 0.0194. Min Act: -0.0002

Data Index: 667875 (C4 (Web Text))

Max Activating Token Index: 376

Text #3

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 350753 (C4 (Web Text))

Max Activating Token Index: 192

Text #4

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 800293 (C4 (Web Text))

Max Activating Token Index: 594

Text #5

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1180007 (C4 (Web Text))

Max Activating Token Index: 796

Text #6

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Max Activating Token Index: 130

Text #7

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Max Activating Token Index: 145

Text #8

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Max Activating Token Index: 119

Text #9

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Data Index: 666318 (C4 (Web Text))

Max Activating Token Index: 854

Text #10

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Data Index: 1122185 (C4 (Web Text))

Max Activating Token Index: 285

Text #11

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Max Activating Token Index: 692

Text #12

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Max Activating Token Index: 644

Text #13

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Data Index: 539698 (C4 (Web Text))

Max Activating Token Index: 85

Text #14

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Data Index: 195870 (C4 (Web Text))

Max Activating Token Index: 312

Text #15

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Max Activating Token Index: 190

Text #16

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Max Activating Token Index: 71

Text #17

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Max Activating Token Index: 875

Text #18

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Data Index: 803285 (C4 (Web Text))

Max Activating Token Index: 340

Text #19

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Data Index: 1159003 (C4 (Web Text))

Max Activating Token Index: 303