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

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

Neuron 345 in Layer 0

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

Text #0

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 869299 (C4 (Web Text))

Max Activating Token Index: 35

Text #1

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Data Index: 1322440 (C4 (Web Text))

Max Activating Token Index: 100

Text #2

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Max Activating Token Index: 585

Text #3

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Data Index: 784362 (C4 (Web Text))

Max Activating Token Index: 567

Text #4

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Max Activating Token Index: 21

Text #5

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Max Activating Token Index: 393

Text #6

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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: 244

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Text #11

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Text #12

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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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Text #19

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Data Index: 148888 (C4 (Web Text))

Max Activating Token Index: 21