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

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

Neuron 483 in Layer 0

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

Text #0

Max Range: 0.0209. Min Range: -0.0209

Max Act: 0.0209. Min Act: -0.0001

Data Index: 1374698 (Python Code)

Max Activating Token Index: 463

Text #1

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1649968 (Python Code)

Max Activating Token Index: 6

Text #2

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1374009 (Python Code)

Max Activating Token Index: 10

Text #3

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 1471418 (Python Code)

Max Activating Token Index: 158

Text #4

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Max Act: 0.0193. Min Act: -0.0001

Data Index: 1578667 (Python Code)

Max Activating Token Index: 791

Text #5

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1404618 (Python Code)

Max Activating Token Index: 46

Text #6

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Data Index: 1655778 (Python Code)

Max Activating Token Index: 738

Text #7

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Data Index: 1583569 (Python Code)

Max Activating Token Index: 234

Text #8

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Data Index: 1539907 (Python Code)

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Text #9

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Data Index: 1581367 (Python Code)

Max Activating Token Index: 10

Text #10

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Data Index: 1456563 (Python Code)

Max Activating Token Index: 685

Text #11

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Data Index: 1590995 (Python Code)

Max Activating Token Index: 59

Text #12

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Data Index: 1588850 (Python Code)

Max Activating Token Index: 1011

Text #13

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Data Index: 1544876 (Python Code)

Max Activating Token Index: 84

Text #14

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Data Index: 1493255 (Python Code)

Max Activating Token Index: 746

Text #15

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Data Index: 1472255 (Python Code)

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Text #16

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Data Index: 1374149 (Python Code)

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Text #17

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Data Index: 1580657 (Python Code)

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Text #18

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Data Index: 1540844 (Python Code)

Max Activating Token Index: 22

Text #19

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Max Act: 0.0180. Min Act: -0.0002

Data Index: 1620288 (Python Code)

Max Activating Token Index: 631