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

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

Neuron 3507 in Layer 0

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

Text #0

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Max Act: 0.1357. Min Act: -0.0002

Data Index: 227296 (C4 (Web Text))

Max Activating Token Index: 14

Text #1

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Max Act: 0.1235. Min Act: -0.0002

Data Index: 1298804 (C4 (Web Text))

Max Activating Token Index: 33

Text #2

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Max Act: 0.1191. Min Act: 0.0001

Data Index: 1007190 (C4 (Web Text))

Max Activating Token Index: 53

Text #3

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Max Act: 0.1177. Min Act: -0.0002

Data Index: 1310442 (C4 (Web Text))

Max Activating Token Index: 45

Text #4

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Max Act: 0.1082. Min Act: -0.0002

Data Index: 48066 (C4 (Web Text))

Max Activating Token Index: 310

Text #5

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Data Index: 353977 (C4 (Web Text))

Max Activating Token Index: 56

Text #6

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Data Index: 108301 (C4 (Web Text))

Max Activating Token Index: 291

Text #7

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Max Activating Token Index: 454

Text #8

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Max Activating Token Index: 66

Text #9

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Data Index: 1033877 (C4 (Web Text))

Max Activating Token Index: 74

Text #10

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Data Index: 190431 (C4 (Web Text))

Max Activating Token Index: 251

Text #11

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Data Index: 777392 (C4 (Web Text))

Max Activating Token Index: 53

Text #12

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Data Index: 980979 (C4 (Web Text))

Max Activating Token Index: 445

Text #13

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Data Index: 1066003 (C4 (Web Text))

Max Activating Token Index: 35

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 736

Text #17

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Max Activating Token Index: 192

Text #18

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Data Index: 1335700 (C4 (Web Text))

Max Activating Token Index: 4

Text #19

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Data Index: 109810 (C4 (Web Text))

Max Activating Token Index: 372