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

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

Neuron 3530 in Layer 0

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

Text #0

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Max Act: 0.0417. Min Act: -0.0002

Data Index: 106976 (C4 (Web Text))

Max Activating Token Index: 805

Text #1

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Max Activating Token Index: 703

Text #2

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Max Act: 0.0400. Min Act: -0.0002

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Max Activating Token Index: 277

Text #3

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 101813 (C4 (Web Text))

Max Activating Token Index: 721

Text #4

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Data Index: 801991 (C4 (Web Text))

Max Activating Token Index: 615

Text #5

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Max Activating Token Index: 76

Text #6

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Max Activating Token Index: 348

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 319

Text #11

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Max Activating Token Index: 924

Text #12

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Max Activating Token Index: 128

Text #13

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Max Activating Token Index: 120

Text #14

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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: 285

Text #19

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Data Index: 1266341 (C4 (Web Text))

Max Activating Token Index: 639