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

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

Neuron 245 in Layer 1

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

Text #0

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Max Act: 0.0430. Min Act: -0.0006

Data Index: 285823 (C4 (Web Text))

Max Activating Token Index: 198

Text #1

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Data Index: 399885 (C4 (Web Text))

Max Activating Token Index: 475

Text #2

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Max Act: 0.0420. Min Act: -0.0006

Data Index: 1294653 (C4 (Web Text))

Max Activating Token Index: 146

Text #3

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Max Act: 0.0403. Min Act: -0.0006

Data Index: 567595 (C4 (Web Text))

Max Activating Token Index: 659

Text #4

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Max Activating Token Index: 124

Text #5

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Max Activating Token Index: 667

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 607

Text #9

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Text #10

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Text #11

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Text #12

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Max Activating Token Index: 88

Text #13

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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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Max Activating Token Index: 1012

Text #19

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Data Index: 912566 (C4 (Web Text))

Max Activating Token Index: 177