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

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

Neuron 100 in Layer 1

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

Text #0

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Max Act: 0.1114. Min Act: -0.0002

Data Index: 346927 (C4 (Web Text))

Max Activating Token Index: 162

Text #1

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Max Act: 0.1101. Min Act: -0.0002

Data Index: 871556 (C4 (Web Text))

Max Activating Token Index: 270

Text #2

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Max Act: 0.1048. Min Act: -0.0003

Data Index: 181776 (C4 (Web Text))

Max Activating Token Index: 365

Text #3

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Max Act: 0.1043. Min Act: -0.0002

Data Index: 880405 (C4 (Web Text))

Max Activating Token Index: 481

Text #4

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Max Act: 0.1033. Min Act: -0.0003

Data Index: 962593 (C4 (Web Text))

Max Activating Token Index: 870

Text #5

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Max Act: 0.1001. Min Act: -0.0003

Data Index: 26711 (C4 (Web Text))

Max Activating Token Index: 328

Text #6

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Max Activating Token Index: 966

Text #7

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Data Index: 1333825 (C4 (Web Text))

Max Activating Token Index: 624

Text #8

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Data Index: 381873 (C4 (Web Text))

Max Activating Token Index: 766

Text #9

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Data Index: 924645 (C4 (Web Text))

Max Activating Token Index: 406

Text #10

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Max Activating Token Index: 558

Text #11

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Data Index: 767590 (C4 (Web Text))

Max Activating Token Index: 180

Text #12

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Data Index: 194488 (C4 (Web Text))

Max Activating Token Index: 925

Text #13

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Data Index: 1183999 (C4 (Web Text))

Max Activating Token Index: 386

Text #14

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Data Index: 567157 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 177

Text #18

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Data Index: 158170 (C4 (Web Text))

Max Activating Token Index: 76

Text #19

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Data Index: 270258 (C4 (Web Text))

Max Activating Token Index: 940