Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 588 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0485. Min Act: -0.0003

Data Index: 383106 (C4 (Web Text))

Max Activating Token Index: 171

Text #1

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Max Act: 0.0444. Min Act: -0.0002

Data Index: 650232 (C4 (Web Text))

Max Activating Token Index: 77

Text #2

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Max Act: 0.0443. Min Act: -0.0003

Data Index: 77658 (C4 (Web Text))

Max Activating Token Index: 324

Text #3

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Max Act: 0.0434. Min Act: -0.0003

Data Index: 554823 (C4 (Web Text))

Max Activating Token Index: 665

Text #4

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 618876 (C4 (Web Text))

Max Activating Token Index: 505

Text #5

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 983503 (C4 (Web Text))

Max Activating Token Index: 221

Text #6

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Max Activating Token Index: 607

Text #7

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Max Activating Token Index: 815

Text #8

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Max Activating Token Index: 73

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Data Index: 409373 (C4 (Web Text))

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Text #10

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Max Activating Token Index: 339

Text #11

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Max Activating Token Index: 135

Text #12

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Max Activating Token Index: 868

Text #13

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Max Activating Token Index: 66

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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Data Index: 1053660 (C4 (Web Text))

Max Activating Token Index: 310

Text #19

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Data Index: 1055190 (C4 (Web Text))

Max Activating Token Index: 590