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

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

Neuron 229 in Layer 0

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

Text #0

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 496791 (C4 (Web Text))

Max Activating Token Index: 645

Text #1

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Data Index: 1303304 (C4 (Web Text))

Max Activating Token Index: 950

Text #2

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Data Index: 354213 (C4 (Web Text))

Max Activating Token Index: 626

Text #3

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Data Index: 691048 (C4 (Web Text))

Max Activating Token Index: 953

Text #4

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Data Index: 1358693 (C4 (Web Text))

Max Activating Token Index: 640

Text #5

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Data Index: 331321 (C4 (Web Text))

Max Activating Token Index: 134

Text #6

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Data Index: 296972 (C4 (Web Text))

Max Activating Token Index: 941

Text #7

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Max Activating Token Index: 813

Text #8

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Max Activating Token Index: 898

Text #9

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Data Index: 1190646 (C4 (Web Text))

Max Activating Token Index: 619

Text #10

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Text #11

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Max Activating Token Index: 870

Text #12

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Max Activating Token Index: 63

Text #13

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Data Index: 477057 (C4 (Web Text))

Max Activating Token Index: 917

Text #14

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Data Index: 706495 (C4 (Web Text))

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Text #15

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Max Activating Token Index: 461

Text #16

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Text #17

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Text #18

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Data Index: 849623 (C4 (Web Text))

Max Activating Token Index: 538

Text #19

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Data Index: 709354 (C4 (Web Text))

Max Activating Token Index: 16