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

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

Neuron 4109 in Layer 0

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

Text #0

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 842600 (C4 (Web Text))

Max Activating Token Index: 10

Text #1

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 1271957 (C4 (Web Text))

Max Activating Token Index: 167

Text #2

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Max Act: 0.0075. Min Act: -0.0002

Data Index: 35841 (C4 (Web Text))

Max Activating Token Index: 408

Text #3

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 386324 (C4 (Web Text))

Max Activating Token Index: 731

Text #4

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 486240 (C4 (Web Text))

Max Activating Token Index: 18

Text #5

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 1023556 (C4 (Web Text))

Max Activating Token Index: 121

Text #6

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Data Index: 600602 (C4 (Web Text))

Max Activating Token Index: 10

Text #7

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Max Activating Token Index: 17

Text #8

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Max Activating Token Index: 641

Text #9

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Data Index: 1627613 (Python Code)

Max Activating Token Index: 16

Text #10

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Data Index: 126807 (C4 (Web Text))

Max Activating Token Index: 847

Text #11

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Max Activating Token Index: 328

Text #12

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Max Activating Token Index: 267

Text #13

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Max Activating Token Index: 954

Text #14

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Max Activating Token Index: 60

Text #15

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Text #16

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Text #17

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Data Index: 516136 (C4 (Web Text))

Max Activating Token Index: 163

Text #18

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Max Activating Token Index: 63

Text #19

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Max Act: 0.0068. Min Act: -0.0002

Data Index: 973174 (C4 (Web Text))

Max Activating Token Index: 604