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

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

Neuron 1058 in Layer 1

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

Text #0

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Max Act: 0.0300. Min Act: -0.0003

Data Index: 874878 (C4 (Web Text))

Max Activating Token Index: 946

Text #1

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Max Activating Token Index: 107

Text #2

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Max Act: 0.0295. Min Act: -0.0003

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Max Activating Token Index: 31

Text #3

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 1143365 (C4 (Web Text))

Max Activating Token Index: 319

Text #4

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Data Index: 262222 (C4 (Web Text))

Max Activating Token Index: 701

Text #5

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Max Activating Token Index: 597

Text #6

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Max Activating Token Index: 288

Text #7

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Text #8

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Max Activating Token Index: 532

Text #9

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Text #10

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Max Activating Token Index: 253

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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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Max Activating Token Index: 746

Text #18

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Text #19

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Data Index: 971837 (C4 (Web Text))

Max Activating Token Index: 548