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

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

Neuron 1333 in Layer 0

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



Text #0

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1395897 (Python Code)

Max Activating Token Index: 477

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Text #1

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Max Act: 0.0106. Min Act: -0.0002

Data Index: 1517855 (Python Code)

Max Activating Token Index: 923

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Text #2

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Max Act: 0.0103. Min Act: -0.0002

Data Index: 1582993 (Python Code)

Max Activating Token Index: 520

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Text #3

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Max Act: 0.0103. Min Act: -0.0002

Data Index: 1626124 (Python Code)

Max Activating Token Index: 660

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Text #4

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Max Act: 0.0101. Min Act: -0.0002

Data Index: 1416458 (Python Code)

Max Activating Token Index: 79

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Text #5

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Max Act: 0.0100. Min Act: -0.0002

Data Index: 1562660 (Python Code)

Max Activating Token Index: 273

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Text #6

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Data Index: 1388885 (Python Code)

Max Activating Token Index: 605

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Text #7

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Data Index: 1510821 (Python Code)

Max Activating Token Index: 859

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Text #8

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Data Index: 1640454 (Python Code)

Max Activating Token Index: 184

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Text #9

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Data Index: 1423831 (Python Code)

Max Activating Token Index: 170

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Text #10

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Data Index: 1405825 (Python Code)

Max Activating Token Index: 600

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Text #11

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Data Index: 1632532 (Python Code)

Max Activating Token Index: 598

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Text #12

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Data Index: 1642306 (Python Code)

Max Activating Token Index: 64

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Text #13

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Data Index: 1489461 (Python Code)

Max Activating Token Index: 570

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Text #14

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Data Index: 1424502 (Python Code)

Max Activating Token Index: 164

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Text #15

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Data Index: 1497058 (Python Code)

Max Activating Token Index: 552

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Text #16

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Data Index: 1570591 (Python Code)

Max Activating Token Index: 567

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Text #17

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Data Index: 610533 (C4 (Web Text))

Max Activating Token Index: 868

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Text #18

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Data Index: 1506574 (Python Code)

Max Activating Token Index: 145

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Text #19

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 51935 (C4 (Web Text))

Max Activating Token Index: 60

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