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

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

Neuron 4182 in Layer 0

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

Text #0

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Max Act: 0.0057. Min Act: -0.0002

Data Index: 1083863 (C4 (Web Text))

Max Activating Token Index: 215

Text #1

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Max Act: 0.0054. Min Act: -0.0002

Data Index: 577815 (C4 (Web Text))

Max Activating Token Index: 187

Text #2

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Data Index: 689678 (C4 (Web Text))

Max Activating Token Index: 754

Text #3

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Max Act: 0.0051. Min Act: -0.0002

Data Index: 443967 (C4 (Web Text))

Max Activating Token Index: 87

Text #4

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Max Act: 0.0051. Min Act: -0.0002

Data Index: 8742 (C4 (Web Text))

Max Activating Token Index: 429

Text #5

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Max Act: 0.0050. Min Act: -0.0002

Data Index: 84659 (C4 (Web Text))

Max Activating Token Index: 244

Text #6

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Max Activating Token Index: 26

Text #7

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Max Activating Token Index: 636

Text #8

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Max Activating Token Index: 210

Text #9

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Max Activating Token Index: 51

Text #10

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Max Activating Token Index: 8

Text #11

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Max Activating Token Index: 837

Text #12

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Max Activating Token Index: 28

Text #13

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Max Activating Token Index: 297

Text #14

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Max Activating Token Index: 8

Text #15

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Max Activating Token Index: 8

Text #16

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Text #17

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Max Activating Token Index: 129

Text #18

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Data Index: 516671 (C4 (Web Text))

Max Activating Token Index: 10

Text #19

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Max Act: 0.0047. Min Act: -0.0002

Data Index: 1399359 (Python Code)

Max Activating Token Index: 38