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

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

Neuron 1036 in Layer 1

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

Text #0

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Max Act: 0.0299. Min Act: -0.0006

Data Index: 903560 (C4 (Web Text))

Max Activating Token Index: 406

Text #1

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Max Act: 0.0308. Min Act: -0.0006

Data Index: 487574 (C4 (Web Text))

Max Activating Token Index: 559

Text #2

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Data Index: 1340949 (C4 (Web Text))

Max Activating Token Index: 591

Text #3

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Max Act: 0.0289. Min Act: -0.0006

Data Index: 1301195 (C4 (Web Text))

Max Activating Token Index: 726

Text #4

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Data Index: 662187 (C4 (Web Text))

Max Activating Token Index: 948

Text #5

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Data Index: 746036 (C4 (Web Text))

Max Activating Token Index: 807

Text #6

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Max Activating Token Index: 448

Text #7

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Max Activating Token Index: 716

Text #8

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Max Activating Token Index: 530

Text #9

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Max Activating Token Index: 976

Text #10

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Data Index: 502018 (C4 (Web Text))

Max Activating Token Index: 430

Text #11

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Data Index: 1282703 (C4 (Web Text))

Max Activating Token Index: 291

Text #12

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Max Activating Token Index: 862

Text #13

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Data Index: 1131704 (C4 (Web Text))

Max Activating Token Index: 884

Text #14

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Max Activating Token Index: 657

Text #15

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Max Activating Token Index: 171

Text #16

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Max Activating Token Index: 777

Text #17

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Data Index: 5812 (C4 (Web Text))

Max Activating Token Index: 275

Text #18

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Data Index: 321393 (C4 (Web Text))

Max Activating Token Index: 149

Text #19

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Data Index: 1156266 (C4 (Web Text))

Max Activating Token Index: 289