Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3637 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0092. Min Range: -0.0092

Max Act: 0.0092. Min Act: -0.0002

Data Index: 1502312 (Python Code)

Max Activating Token Index: 864

Text #1

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 1465728 (Python Code)

Max Activating Token Index: 28

Text #2

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 1478945 (Python Code)

Max Activating Token Index: 20

Text #3

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 1592178 (Python Code)

Max Activating Token Index: 39

Text #4

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1485788 (Python Code)

Max Activating Token Index: 87

Text #5

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1620014 (Python Code)

Max Activating Token Index: 12

Text #6

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Data Index: 1415148 (Python Code)

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Text #7

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Data Index: 1462789 (Python Code)

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Text #8

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Data Index: 1577054 (Python Code)

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Text #9

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Data Index: 1510607 (Python Code)

Max Activating Token Index: 31

Text #10

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Data Index: 1385030 (Python Code)

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Text #11

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Data Index: 1490977 (Python Code)

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Text #12

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Data Index: 1526913 (Python Code)

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Text #13

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1479941 (Python Code)

Max Activating Token Index: 880

Text #14

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1598759 (Python Code)

Max Activating Token Index: 722

Text #15

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Data Index: 1401325 (Python Code)

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Text #16

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Data Index: 1635692 (Python Code)

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Text #17

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Data Index: 1530969 (Python Code)

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Text #18

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Data Index: 1632557 (Python Code)

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Text #19

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Max Act: 0.0081. Min Act: -0.0002

Data Index: 1590812 (Python Code)

Max Activating Token Index: 670