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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3563 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0063. Min Act: -0.0002

Data Index: 1616409 (Python Code)

Max Activating Token Index: 364

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Text #1

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Max Act: 0.0062. Min Act: -0.0003

Data Index: 656748 (C4 (Web Text))

Max Activating Token Index: 18

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Text #2

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Max Act: 0.0062. Min Act: -0.0002

Data Index: 1513799 (Python Code)

Max Activating Token Index: 73

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Text #3

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Max Act: 0.0060. Min Act: -0.0002

Data Index: 1392904 (Python Code)

Max Activating Token Index: 416

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Text #4

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Max Act: 0.0059. Min Act: -0.0003

Data Index: 1438864 (Python Code)

Max Activating Token Index: 20

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Text #5

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Data Index: 1371204 (Python Code)

Max Activating Token Index: 437

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Text #6

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Data Index: 1392905 (Python Code)

Max Activating Token Index: 32

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Text #7

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Data Index: 1595457 (Python Code)

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Text #8

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Data Index: 1654853 (Python Code)

Max Activating Token Index: 19

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Text #9

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Data Index: 1442115 (Python Code)

Max Activating Token Index: 670

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Text #10

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Data Index: 1375156 (Python Code)

Max Activating Token Index: 16

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Text #11

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Data Index: 1361714 (Python Code)

Max Activating Token Index: 73

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Text #12

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Data Index: 1370086 (Python Code)

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Text #13

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Data Index: 1636204 (Python Code)

Max Activating Token Index: 286

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Text #14

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Data Index: 1637712 (Python Code)

Max Activating Token Index: 391

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Text #15

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Data Index: 1519915 (Python Code)

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Text #16

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Data Index: 1448400 (Python Code)

Max Activating Token Index: 69

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Text #17

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Data Index: 1645918 (Python Code)

Max Activating Token Index: 326

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Text #18

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Max Act: 0.0056. Min Act: -0.0003

Data Index: 96425 (C4 (Web Text))

Max Activating Token Index: 209

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Text #19

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Max Act: 0.0056. Min Act: -0.0002

Data Index: 1473507 (Python Code)

Max Activating Token Index: 251

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