Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1405 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0160. Min Act: -0.0006

Data Index: 34833 (C4 (Web Text))

Max Activating Token Index: 776

Text #1

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Max Act: 0.0149. Min Act: -0.0006

Data Index: 1351813 (C4 (Web Text))

Max Activating Token Index: 750

Text #2

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Max Act: 0.0149. Min Act: -0.0006

Data Index: 624019 (C4 (Web Text))

Max Activating Token Index: 139

Text #3

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Max Act: 0.0148. Min Act: -0.0006

Data Index: 550980 (C4 (Web Text))

Max Activating Token Index: 185

Text #4

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Max Act: 0.0152. Min Act: -0.0006

Data Index: 1261328 (C4 (Web Text))

Max Activating Token Index: 924

Text #5

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Max Act: 0.0148. Min Act: -0.0006

Data Index: 976771 (C4 (Web Text))

Max Activating Token Index: 896

Text #6

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Max Act: 0.0146. Min Act: -0.0006

Data Index: 313334 (C4 (Web Text))

Max Activating Token Index: 633

Text #7

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Max Activating Token Index: 991

Text #8

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Max Activating Token Index: 341

Text #9

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Max Activating Token Index: 140

Text #10

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Max Activating Token Index: 192

Text #11

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Max Activating Token Index: 202

Text #12

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Max Activating Token Index: 819

Text #13

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Data Index: 363804 (C4 (Web Text))

Max Activating Token Index: 164

Text #14

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Max Activating Token Index: 753

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 127

Text #18

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Max Activating Token Index: 740

Text #19

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Data Index: 997434 (C4 (Web Text))

Max Activating Token Index: 397