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

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

Neuron 771 in Layer 0

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

Text #0

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 1613207 (Python Code)

Max Activating Token Index: 877

Text #1

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Max Act: 0.0121. Min Act: -0.0005

Data Index: 1421588 (Python Code)

Max Activating Token Index: 818

Text #2

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Max Act: 0.0100. Min Act: -0.0005

Data Index: 1575383 (Python Code)

Max Activating Token Index: 866

Text #3

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Max Act: 0.0099. Min Act: -0.0005

Data Index: 1560669 (Python Code)

Max Activating Token Index: 976

Text #4

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Max Act: 0.0097. Min Act: -0.0005

Data Index: 1569812 (Python Code)

Max Activating Token Index: 971

Text #5

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Max Act: 0.0082. Min Act: -0.0005

Data Index: 1648698 (Python Code)

Max Activating Token Index: 791

Text #6

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Data Index: 1610130 (Python Code)

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Text #7

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Data Index: 1612868 (Python Code)

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Text #8

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Data Index: 1640972 (Python Code)

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Text #9

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Data Index: 575717 (C4 (Web Text))

Max Activating Token Index: 862

Text #10

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Data Index: 754344 (C4 (Web Text))

Max Activating Token Index: 854

Text #11

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Max Activating Token Index: 88

Text #12

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Max Activating Token Index: 717

Text #13

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Data Index: 1238765 (C4 (Web Text))

Max Activating Token Index: 369

Text #14

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Data Index: 163412 (C4 (Web Text))

Max Activating Token Index: 995

Text #15

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Data Index: 1609318 (Python Code)

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Text #16

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Data Index: 1598623 (Python Code)

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Text #17

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Data Index: 239546 (C4 (Web Text))

Max Activating Token Index: 63

Text #18

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Max Activating Token Index: 719

Text #19

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Max Act: 0.0056. Min Act: -0.0006

Data Index: 335316 (C4 (Web Text))

Max Activating Token Index: 532