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

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

Neuron 2881 in Layer 9

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



Text #0

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Max Act: 0.0905. Min Act: -0.0000

Data Index: 1616594 (Python Code)

Max Activating Token Index: 27

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Text #1

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Max Act: 0.0840. Min Act: -0.0000

Data Index: 1555833 (Python Code)

Max Activating Token Index: 47

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Text #2

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Max Act: 0.0884. Min Act: -0.0000

Data Index: 1525538 (Python Code)

Max Activating Token Index: 521

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Text #3

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Max Act: 0.0839. Min Act: -0.0000

Data Index: 1405845 (Python Code)

Max Activating Token Index: 26

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Text #4

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Data Index: 1500407 (Python Code)

Max Activating Token Index: 56

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Text #5

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Max Act: 0.0798. Min Act: -0.0000

Data Index: 1620822 (Python Code)

Max Activating Token Index: 10

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Data Index: 1625956 (Python Code)

Max Activating Token Index: 29

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Text #7

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Data Index: 1361263 (Python Code)

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Text #8

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Data Index: 1465663 (Python Code)

Max Activating Token Index: 56

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Text #9

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Data Index: 1396104 (Python Code)

Max Activating Token Index: 109

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Text #10

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Data Index: 1597134 (Python Code)

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Data Index: 1494733 (Python Code)

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Data Index: 1541972 (Python Code)

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Text #14

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Data Index: 54673 (C4 (Web Text))

Max Activating Token Index: 11

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Text #15

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Text #16

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Data Index: 1502066 (Python Code)

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Text #17

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Data Index: 348443 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #18

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Data Index: 1424994 (Python Code)

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Data Index: 1616867 (Python Code)

Max Activating Token Index: 59

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