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

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

Neuron 56 in Layer 1

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

Text #0

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 939417 (C4 (Web Text))

Max Activating Token Index: 425

Text #1

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Data Index: 1358863 (C4 (Web Text))

Max Activating Token Index: 130

Text #2

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Max Act: 0.0288. Min Act: -0.0003

Data Index: 278585 (C4 (Web Text))

Max Activating Token Index: 554

Text #3

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Max Act: 0.0288. Min Act: -0.0003

Data Index: 195141 (C4 (Web Text))

Max Activating Token Index: 459

Text #4

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Max Activating Token Index: 69

Text #5

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Max Activating Token Index: 616

Text #6

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Max Activating Token Index: 335

Text #7

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Text #8

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Max Activating Token Index: 216

Text #9

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Max Activating Token Index: 806

Text #10

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Max Activating Token Index: 595

Text #12

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Max Activating Token Index: 616

Text #13

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Max Activating Token Index: 730

Text #14

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Max Activating Token Index: 328

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 940

Text #18

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Max Activating Token Index: 534

Text #19

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Data Index: 973504 (C4 (Web Text))

Max Activating Token Index: 589