Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 517 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0291. Min Act: -0.0003

Data Index: 1501246 (Python Code)

Max Activating Token Index: 166

Text #1

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Max Act: 0.0255. Min Act: -0.0003

Data Index: 1365833 (Python Code)

Max Activating Token Index: 131

Text #2

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Max Act: 0.0219. Min Act: -0.0003

Data Index: 1586697 (Python Code)

Max Activating Token Index: 703

Text #3

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 1409952 (Python Code)

Max Activating Token Index: 258

Text #4

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Max Act: 0.0188. Min Act: -0.0003

Data Index: 1436709 (Python Code)

Max Activating Token Index: 71

Text #5

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Max Act: 0.0185. Min Act: -0.0003

Data Index: 1483755 (Python Code)

Max Activating Token Index: 668

Text #6

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Data Index: 1636570 (Python Code)

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Text #7

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Data Index: 1443446 (Python Code)

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Text #8

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Data Index: 1561767 (Python Code)

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Text #9

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Data Index: 1551743 (Python Code)

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Text #10

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Data Index: 1422672 (Python Code)

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Text #11

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Data Index: 1369889 (Python Code)

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Text #12

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Data Index: 1525576 (Python Code)

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Text #13

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Data Index: 1623327 (Python Code)

Max Activating Token Index: 789

Text #14

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Data Index: 1480682 (Python Code)

Max Activating Token Index: 177

Text #15

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Data Index: 1601916 (Python Code)

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Text #16

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Data Index: 1654145 (Python Code)

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Text #17

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Data Index: 1449551 (Python Code)

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Text #18

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Data Index: 1514623 (Python Code)

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Text #19

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Max Act: 0.0155. Min Act: -0.0003

Data Index: 1434296 (Python Code)

Max Activating Token Index: 664