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

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

Neuron 3096 in Layer 1

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

Text #0

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Max Act: 0.0719. Min Act: -0.0003

Data Index: 573830 (C4 (Web Text))

Max Activating Token Index: 613

Text #1

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Max Act: 0.0637. Min Act: -0.0002

Data Index: 304525 (C4 (Web Text))

Max Activating Token Index: 281

Text #2

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Max Act: 0.0586. Min Act: -0.0003

Data Index: 1138321 (C4 (Web Text))

Max Activating Token Index: 1017

Text #3

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Max Act: 0.0573. Min Act: -0.0003

Data Index: 787258 (C4 (Web Text))

Max Activating Token Index: 448

Text #4

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Max Act: 0.0560. Min Act: -0.0003

Data Index: 361455 (C4 (Web Text))

Max Activating Token Index: 360

Text #5

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Max Act: 0.0528. Min Act: -0.0003

Data Index: 937129 (C4 (Web Text))

Max Activating Token Index: 600

Text #6

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Data Index: 1032709 (C4 (Web Text))

Max Activating Token Index: 109

Text #7

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Max Activating Token Index: 649

Text #8

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Data Index: 48914 (C4 (Web Text))

Max Activating Token Index: 658

Text #9

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Data Index: 1316190 (C4 (Web Text))

Max Activating Token Index: 159

Text #10

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Data Index: 1194876 (C4 (Web Text))

Max Activating Token Index: 623

Text #11

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Data Index: 1302386 (C4 (Web Text))

Max Activating Token Index: 27

Text #12

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Max Activating Token Index: 738

Text #13

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Max Activating Token Index: 672

Text #14

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Max Activating Token Index: 647

Text #15

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Text #16

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Max Activating Token Index: 635

Text #17

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Max Activating Token Index: 648

Text #18

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Max Activating Token Index: 828

Text #19

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Data Index: 707773 (C4 (Web Text))

Max Activating Token Index: 913