Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3345 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0916. Min Act: -0.0001

Data Index: 1651516 (Python Code)

Max Activating Token Index: 894

Text #1

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Max Act: 0.0948. Min Act: -0.0001

Data Index: 1419962 (Python Code)

Max Activating Token Index: 896

Text #2

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Max Act: 0.0874. Min Act: -0.0001

Data Index: 1551714 (Python Code)

Max Activating Token Index: 836

Text #3

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Max Act: 0.0773. Min Act: -0.0001

Data Index: 1434882 (Python Code)

Max Activating Token Index: 868

Text #4

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Max Act: 0.0840. Min Act: -0.0001

Data Index: 1452500 (Python Code)

Max Activating Token Index: 845

Text #5

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Max Act: 0.0812. Min Act: -0.0001

Data Index: 1448658 (Python Code)

Max Activating Token Index: 427

Text #6

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Data Index: 1461579 (Python Code)

Max Activating Token Index: 680

Text #7

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Data Index: 364380 (C4 (Web Text))

Max Activating Token Index: 595

Text #8

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Data Index: 1396665 (Python Code)

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Text #9

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Data Index: 270014 (C4 (Web Text))

Max Activating Token Index: 729

Text #10

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Data Index: 999901 (C4 (Web Text))

Max Activating Token Index: 904

Text #11

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Max Activating Token Index: 684

Text #12

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Data Index: 1483567 (Python Code)

Max Activating Token Index: 954

Text #13

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Data Index: 561385 (C4 (Web Text))

Max Activating Token Index: 740

Text #14

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Data Index: 1648364 (Python Code)

Max Activating Token Index: 1005

Text #15

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Data Index: 661497 (C4 (Web Text))

Max Activating Token Index: 908

Text #16

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Text #17

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Data Index: 308546 (C4 (Web Text))

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Text #18

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Data Index: 547829 (C4 (Web Text))

Max Activating Token Index: 445

Text #19

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Max Act: 0.0600. Min Act: -0.0001

Data Index: 126296 (C4 (Web Text))

Max Activating Token Index: 729