Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 341 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0065. Min Act: -0.0006

Data Index: 1045581 (C4 (Web Text))

Max Activating Token Index: 343

Text #1

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Data Index: 151974 (C4 (Web Text))

Max Activating Token Index: 431

Text #2

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Data Index: 879781 (C4 (Web Text))

Max Activating Token Index: 890

Text #3

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Max Act: 0.0062. Min Act: -0.0005

Data Index: 1561909 (Python Code)

Max Activating Token Index: 620

Text #4

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Data Index: 432222 (C4 (Web Text))

Max Activating Token Index: 611

Text #5

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Data Index: 677596 (C4 (Web Text))

Max Activating Token Index: 811

Text #6

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Data Index: 1305796 (C4 (Web Text))

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 990

Text #10

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 84

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 50399 (C4 (Web Text))

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Text #19

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Data Index: 634986 (C4 (Web Text))

Max Activating Token Index: 845