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

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

Neuron 2885 in Layer 1

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

Text #0

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Data Index: 512888 (C4 (Web Text))

Max Activating Token Index: 344

Text #1

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Max Act: 0.0624. Min Act: -0.0002

Data Index: 1166702 (C4 (Web Text))

Max Activating Token Index: 545

Text #2

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Max Act: 0.0584. Min Act: -0.0002

Data Index: 1036669 (C4 (Web Text))

Max Activating Token Index: 795

Text #3

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Max Act: 0.0566. Min Act: -0.0002

Data Index: 201557 (C4 (Web Text))

Max Activating Token Index: 846

Text #4

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Max Act: 0.0546. Min Act: -0.0002

Data Index: 843970 (C4 (Web Text))

Max Activating Token Index: 304

Text #5

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Data Index: 1039537 (C4 (Web Text))

Max Activating Token Index: 425

Text #6

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Max Activating Token Index: 292

Text #7

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Max Activating Token Index: 835

Text #8

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Max Activating Token Index: 99

Text #9

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Data Index: 521949 (C4 (Web Text))

Max Activating Token Index: 561

Text #10

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Max Activating Token Index: 388

Text #11

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Max Activating Token Index: 593

Text #12

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Max Activating Token Index: 197

Text #13

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Data Index: 378377 (C4 (Web Text))

Max Activating Token Index: 694

Text #14

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Max Activating Token Index: 915

Text #15

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Max Activating Token Index: 369

Text #16

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Max Activating Token Index: 855

Text #17

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Max Activating Token Index: 882

Text #18

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Data Index: 539561 (C4 (Web Text))

Max Activating Token Index: 857

Text #19

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Data Index: 1118292 (C4 (Web Text))

Max Activating Token Index: 920