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

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

Neuron 3400 in Layer 2

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

Text #0

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Max Act: 0.0583. Min Act: -0.0002

Data Index: 1501820 (Python Code)

Max Activating Token Index: 77

Text #1

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Max Act: 0.0627. Min Act: -0.0002

Data Index: 1369863 (Python Code)

Max Activating Token Index: 84

Text #2

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Max Act: 0.0573. Min Act: -0.0002

Data Index: 1525693 (Python Code)

Max Activating Token Index: 40

Text #3

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Max Act: 0.0551. Min Act: -0.0002

Data Index: 1389466 (Python Code)

Max Activating Token Index: 48

Text #4

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Max Act: 0.0551. Min Act: -0.0002

Data Index: 1656643 (Python Code)

Max Activating Token Index: 48

Text #5

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Max Act: 0.0508. Min Act: -0.0002

Data Index: 1488789 (Python Code)

Max Activating Token Index: 84

Text #6

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Data Index: 1409221 (Python Code)

Max Activating Token Index: 63

Text #7

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Data Index: 1493408 (Python Code)

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Text #8

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Data Index: 1441983 (Python Code)

Max Activating Token Index: 26

Text #9

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Data Index: 1636073 (Python Code)

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Data Index: 1471874 (Python Code)

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Text #11

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Data Index: 1602227 (Python Code)

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Data Index: 1441644 (Python Code)

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Text #13

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Data Index: 1583888 (Python Code)

Max Activating Token Index: 55

Text #14

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Data Index: 1494604 (Python Code)

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Text #15

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Data Index: 1441318 (Python Code)

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Text #16

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Data Index: 1486923 (Python Code)

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Text #17

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Data Index: 1468648 (Python Code)

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Text #18

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Data Index: 1365837 (Python Code)

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Text #19

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Data Index: 1366388 (Python Code)

Max Activating Token Index: 59