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

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

Neuron 4707 in Layer 0

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

Text #0

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 750591 (C4 (Web Text))

Max Activating Token Index: 83

Text #1

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Max Act: 0.0175. Min Act: -0.0002

Data Index: 1197828 (C4 (Web Text))

Max Activating Token Index: 248

Text #2

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 769166 (C4 (Web Text))

Max Activating Token Index: 709

Text #3

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 292987 (C4 (Web Text))

Max Activating Token Index: 133

Text #4

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1342204 (C4 (Web Text))

Max Activating Token Index: 430

Text #5

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 975724 (C4 (Web Text))

Max Activating Token Index: 226

Text #6

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Data Index: 498762 (C4 (Web Text))

Max Activating Token Index: 603

Text #7

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Data Index: 789733 (C4 (Web Text))

Max Activating Token Index: 406

Text #8

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Max Activating Token Index: 63

Text #9

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Data Index: 221513 (C4 (Web Text))

Max Activating Token Index: 2

Text #10

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Data Index: 1138630 (C4 (Web Text))

Max Activating Token Index: 2

Text #11

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Data Index: 1037048 (C4 (Web Text))

Max Activating Token Index: 356

Text #12

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Data Index: 301933 (C4 (Web Text))

Max Activating Token Index: 377

Text #13

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Data Index: 1035453 (C4 (Web Text))

Max Activating Token Index: 197

Text #14

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Data Index: 270377 (C4 (Web Text))

Max Activating Token Index: 147

Text #15

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Max Activating Token Index: 429

Text #16

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Max Activating Token Index: 445

Text #17

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Max Activating Token Index: 370

Text #18

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Data Index: 911664 (C4 (Web Text))

Max Activating Token Index: 105

Text #19

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1048848 (C4 (Web Text))

Max Activating Token Index: 197