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

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

Neuron 496 in Layer 1

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

Text #0

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 1069201 (C4 (Web Text))

Max Activating Token Index: 959

Text #1

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Max Activating Token Index: 325

Text #2

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Max Act: 0.0350. Min Act: -0.0003

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Max Activating Token Index: 208

Text #3

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Max Act: 0.0347. Min Act: -0.0002

Data Index: 866420 (C4 (Web Text))

Max Activating Token Index: 468

Text #4

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Max Activating Token Index: 830

Text #5

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Max Activating Token Index: 843

Text #6

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Max Activating Token Index: 415

Text #7

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Max Activating Token Index: 271

Text #8

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Max Activating Token Index: 203

Text #9

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Max Activating Token Index: 839

Text #10

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Max Activating Token Index: 796

Text #11

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Max Activating Token Index: 184

Text #12

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Max Activating Token Index: 779

Text #13

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Max Activating Token Index: 975

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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Text #19

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Data Index: 880562 (C4 (Web Text))

Max Activating Token Index: 478