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

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

Neuron 675 in Layer 1

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

Text #0

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Data Index: 335488 (C4 (Web Text))

Max Activating Token Index: 304

Text #1

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Max Activating Token Index: 854

Text #2

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Max Act: 0.0185. Min Act: -0.0006

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Max Activating Token Index: 562

Text #3

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Max Act: 0.0190. Min Act: -0.0006

Data Index: 78089 (C4 (Web Text))

Max Activating Token Index: 620

Text #4

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Max Activating Token Index: 554

Text #5

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Max Activating Token Index: 792

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 510

Text #9

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Max Activating Token Index: 406

Text #10

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Text #11

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Max Activating Token Index: 735

Text #12

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Max Activating Token Index: 15

Text #13

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Max Activating Token Index: 93

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 856

Text #18

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Max Activating Token Index: 361

Text #19

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Data Index: 207693 (C4 (Web Text))

Max Activating Token Index: 91