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

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

Neuron 553 in Layer 0

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

Text #0

Max Range: 0.0196. Min Range: -0.0196

Max Act: 0.0193. Min Act: -0.0001

Data Index: 1642611 (Python Code)

Max Activating Token Index: 137

Text #1

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Max Act: 0.0196. Min Act: -0.0001

Data Index: 1627212 (Python Code)

Max Activating Token Index: 48

Text #2

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Max Act: 0.0187. Min Act: -0.0002

Data Index: 1431461 (Python Code)

Max Activating Token Index: 27

Text #3

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Max Act: 0.0182. Min Act: -0.0002

Data Index: 1649588 (Python Code)

Max Activating Token Index: 12

Text #4

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Max Act: 0.0180. Min Act: -0.0001

Data Index: 1520814 (Python Code)

Max Activating Token Index: 45

Text #5

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Max Act: 0.0180. Min Act: -0.0002

Data Index: 1289728 (C4 (Web Text))

Max Activating Token Index: 5

Text #6

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Data Index: 1642115 (Python Code)

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Text #7

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Data Index: 350295 (C4 (Web Text))

Max Activating Token Index: 509

Text #8

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Data Index: 1432302 (Python Code)

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Text #9

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Data Index: 1554790 (Python Code)

Max Activating Token Index: 120

Text #10

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Data Index: 1629538 (Python Code)

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Text #11

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Data Index: 1604849 (Python Code)

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Text #12

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Data Index: 481474 (C4 (Web Text))

Max Activating Token Index: 3

Text #13

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Data Index: 1634648 (Python Code)

Max Activating Token Index: 496

Text #14

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Data Index: 1466720 (Python Code)

Max Activating Token Index: 876

Text #15

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Data Index: 1493852 (Python Code)

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Text #16

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Data Index: 1447850 (Python Code)

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Text #17

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Data Index: 1599849 (Python Code)

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Text #18

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Data Index: 1406903 (Python Code)

Max Activating Token Index: 57

Text #19

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 1400631 (Python Code)

Max Activating Token Index: 581