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

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

Neuron 318 in Layer 0

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

Text #0

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Max Act: 0.0486. Min Act: -0.0004

Data Index: 44792 (C4 (Web Text))

Max Activating Token Index: 11

Text #1

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Data Index: 662014 (C4 (Web Text))

Max Activating Token Index: 627

Text #2

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Max Act: 0.0460. Min Act: -0.0004

Data Index: 757326 (C4 (Web Text))

Max Activating Token Index: 442

Text #3

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Data Index: 791760 (C4 (Web Text))

Max Activating Token Index: 816

Text #4

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Data Index: 992187 (C4 (Web Text))

Max Activating Token Index: 916

Text #5

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Data Index: 651470 (C4 (Web Text))

Max Activating Token Index: 830

Text #6

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Data Index: 1358502 (C4 (Web Text))

Max Activating Token Index: 5

Text #7

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Data Index: 158348 (C4 (Web Text))

Max Activating Token Index: 624

Text #8

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Max Activating Token Index: 999

Text #9

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Max Activating Token Index: 877

Text #10

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Max Activating Token Index: 741

Text #11

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Max Activating Token Index: 744

Text #12

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Max Activating Token Index: 916

Text #13

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Max Activating Token Index: 818

Text #14

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Max Activating Token Index: 411

Text #15

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Max Activating Token Index: 521

Text #16

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Max Activating Token Index: 7

Text #17

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Max Activating Token Index: 6

Text #18

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Data Index: 130462 (C4 (Web Text))

Max Activating Token Index: 251

Text #19

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Data Index: 461642 (C4 (Web Text))

Max Activating Token Index: 879