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

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

Neuron 3107 in Layer 0

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

Text #0

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1652232 (Python Code)

Max Activating Token Index: 105

Text #1

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1468361 (Python Code)

Max Activating Token Index: 36

Text #2

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 1222738 (C4 (Web Text))

Max Activating Token Index: 623

Text #3

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Max Act: 0.0193. Min Act: -0.0001

Data Index: 1622847 (Python Code)

Max Activating Token Index: 70

Text #4

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Max Act: 0.0185. Min Act: -0.0002

Data Index: 240744 (C4 (Web Text))

Max Activating Token Index: 385

Text #5

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 1416384 (Python Code)

Max Activating Token Index: 34

Text #6

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Data Index: 1496741 (Python Code)

Max Activating Token Index: 588

Text #7

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Data Index: 1598251 (Python Code)

Max Activating Token Index: 3

Text #8

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Data Index: 1277173 (C4 (Web Text))

Max Activating Token Index: 30

Text #9

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Data Index: 529964 (C4 (Web Text))

Max Activating Token Index: 834

Text #10

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Data Index: 1549370 (Python Code)

Max Activating Token Index: 70

Text #11

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Data Index: 1428432 (Python Code)

Max Activating Token Index: 42

Text #12

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Data Index: 1587193 (Python Code)

Max Activating Token Index: 367

Text #13

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Data Index: 1434841 (Python Code)

Max Activating Token Index: 359

Text #14

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Data Index: 1412226 (Python Code)

Max Activating Token Index: 151

Text #15

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Data Index: 1583373 (Python Code)

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Text #16

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Data Index: 1423137 (Python Code)

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Text #17

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Data Index: 1636700 (Python Code)

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Text #18

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Data Index: 131661 (C4 (Web Text))

Max Activating Token Index: 828

Text #19

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Max Act: 0.0157. Min Act: -0.0002

Data Index: 1511006 (Python Code)

Max Activating Token Index: 718