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

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

Neuron 1530 in Layer 1

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

Text #0

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Max Act: 0.0360. Min Act: -0.0003

Data Index: 1580611 (Python Code)

Max Activating Token Index: 798

Text #1

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Data Index: 579241 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0333. Min Act: -0.0001

Data Index: 60236 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0311. Min Act: -0.0002

Data Index: 1242945 (C4 (Web Text))

Max Activating Token Index: 983

Text #4

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Data Index: 475975 (C4 (Web Text))

Max Activating Token Index: 625

Text #5

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Max Act: 0.0307. Min Act: -0.0002

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Max Activating Token Index: 605

Text #6

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Max Activating Token Index: 560

Text #7

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Max Activating Token Index: 79

Text #8

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Text #9

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Max Activating Token Index: 680

Text #10

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Text #11

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Text #12

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Max Activating Token Index: 771

Text #13

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Data Index: 1614853 (Python Code)

Max Activating Token Index: 738

Text #14

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Data Index: 102543 (C4 (Web Text))

Max Activating Token Index: 971

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 406

Text #19

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Data Index: 645906 (C4 (Web Text))

Max Activating Token Index: 35