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

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

Neuron 2 in Layer 9

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



Text #0

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Max Act: 1.4249. Min Act: -0.0000

Data Index: 1580863 (Python Code)

Max Activating Token Index: 68

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Text #1

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Max Act: 1.4009. Min Act: -0.0000

Data Index: 903730 (C4 (Web Text))

Max Activating Token Index: 34

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Text #2

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Max Act: 1.1781. Min Act: -0.0000

Data Index: 1536686 (Python Code)

Max Activating Token Index: 490

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Text #3

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Max Act: 1.4336. Min Act: -0.0000

Data Index: 1389271 (Python Code)

Max Activating Token Index: 50

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Text #4

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Max Act: 1.2017. Min Act: -0.0000

Data Index: 1556313 (Python Code)

Max Activating Token Index: 105

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Text #5

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Data Index: 1609381 (Python Code)

Max Activating Token Index: 405

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Text #6

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Data Index: 1599153 (Python Code)

Max Activating Token Index: 34

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Text #7

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Data Index: 1632071 (Python Code)

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Text #8

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Data Index: 1377255 (Python Code)

Max Activating Token Index: 22

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Text #9

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Data Index: 1589828 (Python Code)

Max Activating Token Index: 52

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Text #10

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Data Index: 454816 (C4 (Web Text))

Max Activating Token Index: 37

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Text #11

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Data Index: 1613629 (Python Code)

Max Activating Token Index: 591

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Text #12

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Data Index: 1504884 (Python Code)

Max Activating Token Index: 56

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Text #13

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Data Index: 1556392 (Python Code)

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Text #14

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Data Index: 1591925 (Python Code)

Max Activating Token Index: 264

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Text #15

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Text #16

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Text #17

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Data Index: 1627894 (Python Code)

Max Activating Token Index: 33

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Text #18

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Data Index: 1633092 (Python Code)

Max Activating Token Index: 455

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Text #19

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Data Index: 1423657 (Python Code)

Max Activating Token Index: 814

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