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

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

Neuron 2925 in Layer 0

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

Text #0

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 1086015 (C4 (Web Text))

Max Activating Token Index: 196

Text #1

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Max Act: 0.0134. Min Act: -0.0002

Data Index: 521619 (C4 (Web Text))

Max Activating Token Index: 25

Text #2

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 1322343 (C4 (Web Text))

Max Activating Token Index: 15

Text #3

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 150674 (C4 (Web Text))

Max Activating Token Index: 119

Text #4

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 485370 (C4 (Web Text))

Max Activating Token Index: 44

Text #5

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Max Activating Token Index: 669

Text #6

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Max Activating Token Index: 82

Text #7

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Max Activating Token Index: 969

Text #8

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Data Index: 146853 (C4 (Web Text))

Max Activating Token Index: 542

Text #9

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Data Index: 645050 (C4 (Web Text))

Max Activating Token Index: 12

Text #10

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Max Activating Token Index: 494

Text #11

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Max Activating Token Index: 121

Text #12

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Max Activating Token Index: 12

Text #13

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Max Activating Token Index: 159

Text #14

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Max Activating Token Index: 18

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 85

Text #18

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Max Activating Token Index: 184

Text #19

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Data Index: 509530 (C4 (Web Text))

Max Activating Token Index: 74