Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1136 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0190. Min Act: -0.0006

Data Index: 894436 (C4 (Web Text))

Max Activating Token Index: 253

Text #1

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Max Act: 0.0186. Min Act: -0.0006

Data Index: 378916 (C4 (Web Text))

Max Activating Token Index: 159

Text #2

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Data Index: 797018 (C4 (Web Text))

Max Activating Token Index: 994

Text #3

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Max Act: 0.0186. Min Act: -0.0006

Data Index: 1260566 (C4 (Web Text))

Max Activating Token Index: 464

Text #4

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Max Act: 0.0181. Min Act: -0.0006

Data Index: 671328 (C4 (Web Text))

Max Activating Token Index: 195

Text #5

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Max Act: 0.0180. Min Act: -0.0006

Data Index: 193490 (C4 (Web Text))

Max Activating Token Index: 315

Text #6

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Max Activating Token Index: 851

Text #7

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Max Activating Token Index: 782

Text #8

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Max Activating Token Index: 560

Text #9

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Data Index: 296314 (C4 (Web Text))

Max Activating Token Index: 119

Text #10

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Data Index: 330635 (C4 (Web Text))

Max Activating Token Index: 822

Text #11

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Max Activating Token Index: 1022

Text #12

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Data Index: 197170 (C4 (Web Text))

Max Activating Token Index: 715

Text #13

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Max Activating Token Index: 747

Text #14

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Max Activating Token Index: 56

Text #15

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Max Activating Token Index: 10

Text #16

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Max Activating Token Index: 148

Text #17

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Max Activating Token Index: 353

Text #18

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Data Index: 209278 (C4 (Web Text))

Max Activating Token Index: 999

Text #19

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Data Index: 585543 (C4 (Web Text))

Max Activating Token Index: 882