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

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

Neuron 35 in Layer 0

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

Text #0

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Max Act: 0.0002. Min Act: -0.0002

Data Index: 597099 (C4 (Web Text))

Max Activating Token Index: 127

Text #1

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Data Index: 205438 (C4 (Web Text))

Max Activating Token Index: 173

Text #2

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Max Activating Token Index: 990

Text #3

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Data Index: 323890 (C4 (Web Text))

Max Activating Token Index: 795

Text #4

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Data Index: 737180 (C4 (Web Text))

Max Activating Token Index: 109

Text #5

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Max Activating Token Index: 421

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: 475

Text #10

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Text #11

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Text #12

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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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Text #19

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Data Index: 233544 (C4 (Web Text))

Max Activating Token Index: 678