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

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

Neuron 1915 in Layer 0

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

Text #0

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Max Act: 0.0229. Min Act: -0.0005

Data Index: 406796 (C4 (Web Text))

Max Activating Token Index: 32

Text #1

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Max Act: 0.0213. Min Act: -0.0004

Data Index: 620440 (C4 (Web Text))

Max Activating Token Index: 625

Text #2

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Max Act: 0.0213. Min Act: -0.0005

Data Index: 524823 (C4 (Web Text))

Max Activating Token Index: 941

Text #3

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Max Act: 0.0212. Min Act: -0.0004

Data Index: 465404 (C4 (Web Text))

Max Activating Token Index: 733

Text #4

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Max Act: 0.0212. Min Act: -0.0004

Data Index: 713541 (C4 (Web Text))

Max Activating Token Index: 828

Text #5

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Data Index: 1000893 (C4 (Web Text))

Max Activating Token Index: 769

Text #6

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Max Activating Token Index: 553

Text #7

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Max Activating Token Index: 235

Text #8

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Max Activating Token Index: 736

Text #9

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Data Index: 903302 (C4 (Web Text))

Max Activating Token Index: 280

Text #10

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Data Index: 369108 (C4 (Web Text))

Max Activating Token Index: 728

Text #11

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Data Index: 829098 (C4 (Web Text))

Max Activating Token Index: 353

Text #12

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Max Activating Token Index: 341

Text #13

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Data Index: 581715 (C4 (Web Text))

Max Activating Token Index: 699

Text #14

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Max Activating Token Index: 415

Text #15

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Max Activating Token Index: 520

Text #16

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Max Activating Token Index: 298

Text #17

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Max Activating Token Index: 38

Text #18

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Data Index: 141993 (C4 (Web Text))

Max Activating Token Index: 66

Text #19

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Data Index: 1032577 (C4 (Web Text))

Max Activating Token Index: 17