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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1005 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0085. Min Act: -0.0005

Data Index: 1638658 (Python Code)

Max Activating Token Index: 994

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Text #1

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Max Act: 0.0080. Min Act: -0.0005

Data Index: 1470330 (Python Code)

Max Activating Token Index: 983

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Text #2

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Max Act: 0.0085. Min Act: -0.0005

Data Index: 1370956 (Python Code)

Max Activating Token Index: 106

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Text #3

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Max Act: 0.0082. Min Act: -0.0005

Data Index: 1407353 (Python Code)

Max Activating Token Index: 973

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Text #4

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Data Index: 1587330 (Python Code)

Max Activating Token Index: 884

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Text #5

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Data Index: 1626523 (Python Code)

Max Activating Token Index: 160

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Text #6

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Data Index: 1626965 (Python Code)

Max Activating Token Index: 40

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Text #7

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Data Index: 1361762 (Python Code)

Max Activating Token Index: 77

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Text #8

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Data Index: 1601787 (Python Code)

Max Activating Token Index: 601

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Text #9

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Data Index: 919497 (C4 (Web Text))

Max Activating Token Index: 140

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Text #10

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Data Index: 1654351 (Python Code)

Max Activating Token Index: 727

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Text #11

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Data Index: 965478 (C4 (Web Text))

Max Activating Token Index: 773

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Text #12

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Data Index: 1450441 (Python Code)

Max Activating Token Index: 9

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Text #13

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Data Index: 658787 (C4 (Web Text))

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Text #14

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Data Index: 655452 (C4 (Web Text))

Max Activating Token Index: 832

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Text #15

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Data Index: 1628173 (Python Code)

Max Activating Token Index: 88

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Text #16

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Data Index: 1437587 (Python Code)

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Text #17

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Data Index: 1482314 (Python Code)

Max Activating Token Index: 494

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Text #18

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Data Index: 1530885 (Python Code)

Max Activating Token Index: 747

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Text #19

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Max Act: 0.0062. Min Act: -0.0005

Data Index: 1185115 (C4 (Web Text))

Max Activating Token Index: 148

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