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

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

Neuron 56 in Layer 1

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

Text #0

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Max Act: 0.0898. Min Act: -0.0003

Data Index: 55087 (C4 (Web Text))

Max Activating Token Index: 742

Text #1

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Max Activating Token Index: 468

Text #2

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Max Act: 0.0892. Min Act: -0.0003

Data Index: 367881 (C4 (Web Text))

Max Activating Token Index: 196

Text #3

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Max Act: 0.0878. Min Act: -0.0003

Data Index: 879234 (C4 (Web Text))

Max Activating Token Index: 938

Text #4

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Data Index: 46688 (C4 (Web Text))

Max Activating Token Index: 344

Text #5

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Data Index: 234064 (C4 (Web Text))

Max Activating Token Index: 185

Text #6

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Data Index: 5856 (C4 (Web Text))

Max Activating Token Index: 271

Text #7

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Data Index: 450860 (C4 (Web Text))

Max Activating Token Index: 37

Text #8

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Data Index: 1300583 (C4 (Web Text))

Max Activating Token Index: 281

Text #9

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Data Index: 864641 (C4 (Web Text))

Max Activating Token Index: 604

Text #10

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Max Activating Token Index: 747

Text #11

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Data Index: 263631 (C4 (Web Text))

Max Activating Token Index: 323

Text #12

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Data Index: 327930 (C4 (Web Text))

Max Activating Token Index: 13

Text #13

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Data Index: 426677 (C4 (Web Text))

Max Activating Token Index: 603

Text #14

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Data Index: 831411 (C4 (Web Text))

Max Activating Token Index: 691

Text #15

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Text #16

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Max Activating Token Index: 763

Text #17

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Max Activating Token Index: 904

Text #18

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Data Index: 210484 (C4 (Web Text))

Max Activating Token Index: 485

Text #19

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Data Index: 134459 (C4 (Web Text))

Max Activating Token Index: 114