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

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

Neuron 4586 in Layer 2

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

Text #0

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Max Act: 0.1619. Min Act: -0.0002

Data Index: 1564347 (Python Code)

Max Activating Token Index: 336

Text #1

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Max Act: 0.1316. Min Act: -0.0002

Data Index: 1587478 (Python Code)

Max Activating Token Index: 488

Text #2

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Max Act: 0.1021. Min Act: -0.0002

Data Index: 1607893 (Python Code)

Max Activating Token Index: 885

Text #3

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Max Act: 0.0961. Min Act: -0.0002

Data Index: 1625932 (Python Code)

Max Activating Token Index: 38

Text #4

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Max Act: 0.1061. Min Act: -0.0002

Data Index: 1380778 (Python Code)

Max Activating Token Index: 82

Text #5

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Max Act: 0.0964. Min Act: -0.0002

Data Index: 1418384 (Python Code)

Max Activating Token Index: 351

Text #6

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Data Index: 1538174 (Python Code)

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Text #7

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Data Index: 1561915 (Python Code)

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Text #8

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Data Index: 1475875 (Python Code)

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Text #9

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Data Index: 1420916 (Python Code)

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Text #10

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Data Index: 1623526 (Python Code)

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Text #11

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Data Index: 1446047 (Python Code)

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Text #12

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Data Index: 1484274 (Python Code)

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Text #13

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Data Index: 1435901 (Python Code)

Max Activating Token Index: 332

Text #14

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Data Index: 1360175 (Python Code)

Max Activating Token Index: 939

Text #15

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Data Index: 1513799 (Python Code)

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Text #16

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Data Index: 1532258 (Python Code)

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Text #17

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Data Index: 1548960 (Python Code)

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Text #18

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Data Index: 1405186 (Python Code)

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Text #19

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Max Act: 0.0972. Min Act: -0.0002

Data Index: 1421017 (Python Code)

Max Activating Token Index: 353