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

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

Neuron 1031 in Layer 0

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

Text #0

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 284192 (C4 (Web Text))

Max Activating Token Index: 636

Text #1

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Data Index: 422641 (C4 (Web Text))

Max Activating Token Index: 33

Text #2

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 516473 (C4 (Web Text))

Max Activating Token Index: 843

Text #3

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Max Act: 0.0084. Min Act: -0.0002

Data Index: 497301 (C4 (Web Text))

Max Activating Token Index: 22

Text #4

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Data Index: 925493 (C4 (Web Text))

Max Activating Token Index: 26

Text #5

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Max Activating Token Index: 15

Text #6

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Text #7

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 418

Text #12

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Max Activating Token Index: 23

Text #13

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Max Activating Token Index: 40

Text #14

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Max Activating Token Index: 658

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 54

Text #19

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Data Index: 462280 (C4 (Web Text))

Max Activating Token Index: 27