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

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

Neuron 4930 in Layer 0

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

Text #0

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 821605 (C4 (Web Text))

Max Activating Token Index: 225

Text #1

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 32209 (C4 (Web Text))

Max Activating Token Index: 562

Text #2

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 943306 (C4 (Web Text))

Max Activating Token Index: 3

Text #3

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 270020 (C4 (Web Text))

Max Activating Token Index: 263

Text #4

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Max Act: 0.0081. Min Act: -0.0002

Data Index: 509925 (C4 (Web Text))

Max Activating Token Index: 42

Text #5

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Max Act: 0.0082. Min Act: -0.0002

Data Index: 665330 (C4 (Web Text))

Max Activating Token Index: 926

Text #6

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Max Act: 0.0083. Min Act: -0.0002

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Max Activating Token Index: 36

Text #7

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Data Index: 145603 (C4 (Web Text))

Max Activating Token Index: 29

Text #8

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Data Index: 97824 (C4 (Web Text))

Max Activating Token Index: 374

Text #9

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Max Activating Token Index: 341

Text #10

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Max Activating Token Index: 788

Text #11

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Max Activating Token Index: 921

Text #12

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Max Activating Token Index: 665

Text #13

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Data Index: 477796 (C4 (Web Text))

Max Activating Token Index: 422

Text #14

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 12228 (C4 (Web Text))

Max Activating Token Index: 358

Text #15

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Max Activating Token Index: 59

Text #16

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Max Activating Token Index: 743

Text #17

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Max Activating Token Index: 106

Text #18

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Max Activating Token Index: 189

Text #19

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 1314056 (C4 (Web Text))

Max Activating Token Index: 358