Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 59 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.2303. Min Act: -0.0003

Data Index: 116603 (C4 (Web Text))

Max Activating Token Index: 357

Text #1

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Data Index: 535796 (C4 (Web Text))

Max Activating Token Index: 538

Text #2

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Data Index: 1109601 (C4 (Web Text))

Max Activating Token Index: 431

Text #3

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Data Index: 117389 (C4 (Web Text))

Max Activating Token Index: 501

Text #4

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Data Index: 656891 (C4 (Web Text))

Max Activating Token Index: 71

Text #5

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Max Activating Token Index: 471

Text #6

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Max Activating Token Index: 577

Text #7

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Max Activating Token Index: 51

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 604

Text #11

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Max Activating Token Index: 33

Text #12

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Max Activating Token Index: 872

Text #13

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Max Activating Token Index: 622

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: 25

Text #18

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Max Activating Token Index: 454

Text #19

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Data Index: 265801 (C4 (Web Text))

Max Activating Token Index: 448