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

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

Neuron 6130 in Layer 0

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

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Text #0

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Max Act: 0.0003. Min Act: -0.0001

Data Index: 1379022 (Python Code)

Max Activating Token Index: 974

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Text #1

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Data Index: 1648032 (Python Code)

Max Activating Token Index: 984

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Text #2

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Max Act: 0.0003. Min Act: -0.0001

Data Index: 1453382 (Python Code)

Max Activating Token Index: 983

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Text #3

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Max Act: 0.0003. Min Act: -0.0001

Data Index: 263392 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #4

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Max Act: 0.0002. Min Act: -0.0001

Data Index: 1046247 (C4 (Web Text))

Max Activating Token Index: 826

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Text #5

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Max Act: 0.0002. Min Act: -0.0001

Data Index: 983622 (C4 (Web Text))

Max Activating Token Index: 955

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Text #6

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Data Index: 1408014 (Python Code)

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Text #7

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Data Index: 1502613 (Python Code)

Max Activating Token Index: 886

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Text #8

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Data Index: 1573978 (Python Code)

Max Activating Token Index: 878

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Text #9

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Data Index: 196318 (C4 (Web Text))

Max Activating Token Index: 952

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Text #10

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Data Index: 637646 (C4 (Web Text))

Max Activating Token Index: 935

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Text #11

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Data Index: 1061975 (C4 (Web Text))

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Text #12

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Data Index: 1567895 (Python Code)

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Text #13

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Max Act: 0.0002. Min Act: -0.0001

Data Index: 829007 (C4 (Web Text))

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Text #14

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Data Index: 776353 (C4 (Web Text))

Max Activating Token Index: 944

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Text #15

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Data Index: 639755 (C4 (Web Text))

Max Activating Token Index: 908

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Text #16

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Data Index: 1612918 (Python Code)

Max Activating Token Index: 906

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Text #17

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Data Index: 1548343 (Python Code)

Max Activating Token Index: 825

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Text #18

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Data Index: 1576377 (Python Code)

Max Activating Token Index: 808

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Text #19

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Data Index: 90530 (C4 (Web Text))

Max Activating Token Index: 890

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