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

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

Neuron 1729 in Layer 0

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

Text #0

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Max Act: 0.0031. Min Act: -0.0002

Data Index: 708522 (C4 (Web Text))

Max Activating Token Index: 631

Text #1

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Data Index: 94353 (C4 (Web Text))

Max Activating Token Index: 680

Text #2

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Data Index: 294884 (C4 (Web Text))

Max Activating Token Index: 710

Text #3

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Data Index: 1256243 (C4 (Web Text))

Max Activating Token Index: 622

Text #4

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Data Index: 672454 (C4 (Web Text))

Max Activating Token Index: 733

Text #5

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Data Index: 938136 (C4 (Web Text))

Max Activating Token Index: 695

Text #6

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Data Index: 387665 (C4 (Web Text))

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 735

Text #10

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Text #11

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Text #12

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Text #13

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Data Index: 805169 (C4 (Web Text))

Max Activating Token Index: 644

Text #14

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Max Activating Token Index: 650

Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1181453 (C4 (Web Text))

Max Activating Token Index: 733