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

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

Neuron 2902 in Layer 0

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

Text #0

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 1578638 (Python Code)

Max Activating Token Index: 8

Text #1

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Max Act: 0.0114. Min Act: -0.0002

Data Index: 1403016 (Python Code)

Max Activating Token Index: 37

Text #2

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Max Act: 0.0111. Min Act: -0.0002

Data Index: 1641913 (Python Code)

Max Activating Token Index: 21

Text #3

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Max Act: 0.0111. Min Act: -0.0001

Data Index: 1450255 (Python Code)

Max Activating Token Index: 21

Text #4

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Max Act: 0.0110. Min Act: -0.0001

Data Index: 1470508 (Python Code)

Max Activating Token Index: 660

Text #5

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1525222 (Python Code)

Max Activating Token Index: 56

Text #6

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Data Index: 1588593 (Python Code)

Max Activating Token Index: 20

Text #7

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Data Index: 1535143 (Python Code)

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Text #8

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Data Index: 1565286 (Python Code)

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Text #9

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Data Index: 1452839 (Python Code)

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Text #10

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Data Index: 1447918 (Python Code)

Max Activating Token Index: 95

Text #11

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Data Index: 1477373 (Python Code)

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Text #12

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Data Index: 1438122 (Python Code)

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Text #13

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Data Index: 1645401 (Python Code)

Max Activating Token Index: 17

Text #14

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Data Index: 1520923 (Python Code)

Max Activating Token Index: 63

Text #15

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Data Index: 1596149 (Python Code)

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Text #16

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Data Index: 1603926 (Python Code)

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Text #17

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Data Index: 1621488 (Python Code)

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Text #18

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Data Index: 1364695 (Python Code)

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Text #19

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Data Index: 1404966 (Python Code)

Max Activating Token Index: 89