Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1329 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0832. Min Act: -0.0002

Data Index: 329382 (C4 (Web Text))

Max Activating Token Index: 271

Text #1

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Max Act: 0.0777. Min Act: -0.0003

Data Index: 363262 (C4 (Web Text))

Max Activating Token Index: 512

Text #2

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Max Act: 0.0785. Min Act: -0.0003

Data Index: 241440 (C4 (Web Text))

Max Activating Token Index: 903

Text #3

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Max Act: 0.0709. Min Act: -0.0003

Data Index: 474643 (C4 (Web Text))

Max Activating Token Index: 247

Text #4

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Data Index: 855414 (C4 (Web Text))

Max Activating Token Index: 1022

Text #5

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Max Act: 0.0687. Min Act: -0.0003

Data Index: 703297 (C4 (Web Text))

Max Activating Token Index: 737

Text #6

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Data Index: 235895 (C4 (Web Text))

Max Activating Token Index: 367

Text #7

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Max Activating Token Index: 919

Text #8

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Data Index: 873021 (C4 (Web Text))

Max Activating Token Index: 911

Text #9

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Max Activating Token Index: 730

Text #10

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Data Index: 779714 (C4 (Web Text))

Max Activating Token Index: 489

Text #11

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Data Index: 649885 (C4 (Web Text))

Max Activating Token Index: 653

Text #12

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Max Activating Token Index: 843

Text #13

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Data Index: 324323 (C4 (Web Text))

Max Activating Token Index: 52

Text #14

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Max Activating Token Index: 688

Text #15

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Max Activating Token Index: 746

Text #16

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Max Activating Token Index: 954

Text #17

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Max Activating Token Index: 639

Text #18

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Max Activating Token Index: 940

Text #19

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Data Index: 1080980 (C4 (Web Text))

Max Activating Token Index: 957