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

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

Neuron 1610 in Layer 2

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

Text #0

Max Range: 0.0794. Min Range: -0.0794

Max Act: 0.0792. Min Act: -0.0003

Data Index: 1604783 (Python Code)

Max Activating Token Index: 997

Text #1

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Max Act: 0.0794. Min Act: -0.0003

Data Index: 1608998 (Python Code)

Max Activating Token Index: 980

Text #2

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Max Act: 0.0786. Min Act: -0.0003

Data Index: 1363966 (Python Code)

Max Activating Token Index: 145

Text #3

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Max Act: 0.0770. Min Act: -0.0003

Data Index: 1522926 (Python Code)

Max Activating Token Index: 327

Text #4

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Max Act: 0.0756. Min Act: -0.0003

Data Index: 1431185 (Python Code)

Max Activating Token Index: 887

Text #5

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Max Act: 0.0742. Min Act: -0.0003

Data Index: 1588643 (Python Code)

Max Activating Token Index: 354

Text #6

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Max Act: 0.0748. Min Act: -0.0002

Data Index: 1492136 (Python Code)

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Text #7

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Data Index: 1472011 (Python Code)

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Text #8

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Data Index: 1439743 (Python Code)

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Text #9

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Data Index: 1390149 (Python Code)

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Text #10

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Data Index: 1516147 (Python Code)

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Text #11

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Data Index: 1545635 (Python Code)

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Text #12

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Data Index: 1653186 (Python Code)

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Text #13

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Data Index: 1381296 (Python Code)

Max Activating Token Index: 820

Text #14

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Data Index: 1593526 (Python Code)

Max Activating Token Index: 549

Text #15

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Data Index: 1621360 (Python Code)

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Text #16

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Data Index: 1587085 (Python Code)

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Text #17

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Data Index: 1518239 (Python Code)

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Text #18

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Data Index: 1621287 (Python Code)

Max Activating Token Index: 532

Text #19

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Max Act: 0.0693. Min Act: -0.0003

Data Index: 1565986 (Python Code)

Max Activating Token Index: 368