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

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

Neuron 3980 in Layer 0

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

Text #0

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Max Act: 0.0136. Min Act: -0.0002

Data Index: 134799 (C4 (Web Text))

Max Activating Token Index: 684

Text #1

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Max Activating Token Index: 765

Text #2

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Max Activating Token Index: 743

Text #3

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Data Index: 1003158 (C4 (Web Text))

Max Activating Token Index: 725

Text #4

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Data Index: 231700 (C4 (Web Text))

Max Activating Token Index: 432

Text #5

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Max Activating Token Index: 4

Text #6

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Max Activating Token Index: 112

Text #7

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Text #8

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Max Activating Token Index: 340

Text #9

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Max Activating Token Index: 345

Text #10

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Text #11

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Max Activating Token Index: 598

Text #12

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Max Activating Token Index: 857

Text #13

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Max Activating Token Index: 205

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: 343

Text #19

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Data Index: 356610 (C4 (Web Text))

Max Activating Token Index: 345