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

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

Neuron 3824 in Layer 0

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

Text #0

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Max Act: 0.0160. Min Act: -0.0002

Data Index: 801011 (C4 (Web Text))

Max Activating Token Index: 1011

Text #1

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Max Activating Token Index: 699

Text #2

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 1060031 (C4 (Web Text))

Max Activating Token Index: 122

Text #3

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 61102 (C4 (Web Text))

Max Activating Token Index: 10

Text #4

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Max Act: 0.0149. Min Act: -0.0002

Data Index: 695902 (C4 (Web Text))

Max Activating Token Index: 14

Text #5

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Data Index: 284031 (C4 (Web Text))

Max Activating Token Index: 943

Text #6

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Data Index: 1309264 (C4 (Web Text))

Max Activating Token Index: 960

Text #7

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Max Activating Token Index: 110

Text #8

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Max Activating Token Index: 34

Text #9

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Data Index: 257343 (C4 (Web Text))

Max Activating Token Index: 6

Text #10

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Max Activating Token Index: 914

Text #11

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Data Index: 295351 (C4 (Web Text))

Max Activating Token Index: 711

Text #12

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Data Index: 28133 (C4 (Web Text))

Max Activating Token Index: 835

Text #13

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Data Index: 307371 (C4 (Web Text))

Max Activating Token Index: 414

Text #14

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Max Activating Token Index: 775

Text #15

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Max Activating Token Index: 858

Text #16

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Max Activating Token Index: 851

Text #17

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Max Activating Token Index: 319

Text #18

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Max Activating Token Index: 771

Text #19

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 820408 (C4 (Web Text))

Max Activating Token Index: 162