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

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

Neuron 3598 in Layer 1

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

Text #0

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Max Act: 0.0639. Min Act: -0.0002

Data Index: 344258 (C4 (Web Text))

Max Activating Token Index: 429

Text #1

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Max Act: 0.0600. Min Act: -0.0003

Data Index: 1131689 (C4 (Web Text))

Max Activating Token Index: 500

Text #2

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Max Act: 0.0517. Min Act: -0.0002

Data Index: 1012659 (C4 (Web Text))

Max Activating Token Index: 217

Text #3

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Max Act: 0.0513. Min Act: -0.0003

Data Index: 830723 (C4 (Web Text))

Max Activating Token Index: 716

Text #4

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Data Index: 1280044 (C4 (Web Text))

Max Activating Token Index: 675

Text #5

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Max Act: 0.0529. Min Act: -0.0002

Data Index: 361019 (C4 (Web Text))

Max Activating Token Index: 355

Text #6

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Max Activating Token Index: 283

Text #7

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Max Activating Token Index: 511

Text #8

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Max Activating Token Index: 949

Text #9

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Data Index: 691833 (C4 (Web Text))

Max Activating Token Index: 164

Text #10

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Data Index: 346849 (C4 (Web Text))

Max Activating Token Index: 373

Text #11

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Max Activating Token Index: 233

Text #12

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Data Index: 21084 (C4 (Web Text))

Max Activating Token Index: 567

Text #13

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Max Activating Token Index: 902

Text #14

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Max Activating Token Index: 76

Text #15

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Text #16

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Text #17

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Data Index: 737557 (C4 (Web Text))

Max Activating Token Index: 223

Text #18

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Data Index: 273292 (C4 (Web Text))

Max Activating Token Index: 104

Text #19

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Data Index: 1314649 (C4 (Web Text))

Max Activating Token Index: 850