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

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

Neuron 2038 in Layer 1

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

Text #0

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 126351 (C4 (Web Text))

Max Activating Token Index: 170

Text #1

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 500833 (C4 (Web Text))

Max Activating Token Index: 217

Text #2

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Max Act: 0.0401. Min Act: -0.0003

Data Index: 338605 (C4 (Web Text))

Max Activating Token Index: 175

Text #3

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 71502 (C4 (Web Text))

Max Activating Token Index: 321

Text #4

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 6060 (C4 (Web Text))

Max Activating Token Index: 37

Text #5

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Max Act: 0.0383. Min Act: -0.0003

Data Index: 463160 (C4 (Web Text))

Max Activating Token Index: 30

Text #6

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Data Index: 741000 (C4 (Web Text))

Max Activating Token Index: 310

Text #7

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Max Activating Token Index: 119

Text #8

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Max Activating Token Index: 795

Text #9

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Data Index: 15340 (C4 (Web Text))

Max Activating Token Index: 444

Text #10

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Max Activating Token Index: 142

Text #11

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Data Index: 1251902 (C4 (Web Text))

Max Activating Token Index: 206

Text #12

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Max Activating Token Index: 869

Text #13

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Max Activating Token Index: 376

Text #14

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Max Activating Token Index: 74

Text #15

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Text #16

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Max Activating Token Index: 393

Text #17

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Max Activating Token Index: 42

Text #18

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Data Index: 80253 (C4 (Web Text))

Max Activating Token Index: 233

Text #19

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Data Index: 167055 (C4 (Web Text))

Max Activating Token Index: 11