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

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

Neuron 1740 in Layer 2

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

Text #0

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Max Act: 0.0918. Min Act: -0.0002

Data Index: 876858 (C4 (Web Text))

Max Activating Token Index: 13

Text #1

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Max Act: 0.0945. Min Act: -0.0002

Data Index: 501507 (C4 (Web Text))

Max Activating Token Index: 649

Text #2

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Max Act: 0.1019. Min Act: -0.0002

Data Index: 617904 (C4 (Web Text))

Max Activating Token Index: 291

Text #3

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Data Index: 776716 (C4 (Web Text))

Max Activating Token Index: 891

Text #4

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Data Index: 857489 (C4 (Web Text))

Max Activating Token Index: 801

Text #5

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Data Index: 718382 (C4 (Web Text))

Max Activating Token Index: 36

Text #6

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Data Index: 1273268 (C4 (Web Text))

Max Activating Token Index: 42

Text #7

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Max Activating Token Index: 547

Text #8

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Max Activating Token Index: 989

Text #9

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Max Activating Token Index: 140

Text #10

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Data Index: 129324 (C4 (Web Text))

Max Activating Token Index: 274

Text #11

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Max Activating Token Index: 658

Text #12

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Data Index: 941842 (C4 (Web Text))

Max Activating Token Index: 186

Text #13

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Data Index: 20242 (C4 (Web Text))

Max Activating Token Index: 814

Text #14

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Data Index: 988103 (C4 (Web Text))

Max Activating Token Index: 730

Text #15

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Max Activating Token Index: 949

Text #16

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Max Activating Token Index: 220

Text #17

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Data Index: 367812 (C4 (Web Text))

Max Activating Token Index: 18

Text #18

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Data Index: 145491 (C4 (Web Text))

Max Activating Token Index: 845

Text #19

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Data Index: 109397 (C4 (Web Text))

Max Activating Token Index: 398