Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 467 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0383. Min Range: -0.0383

Max Act: 0.0383. Min Act: -0.0002

Data Index: 1444407 (Python Code)

Max Activating Token Index: 6

Text #1

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Max Act: 0.0380. Min Act: -0.0002

Data Index: 1575550 (Python Code)

Max Activating Token Index: 6

Text #2

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Max Act: 0.0339. Min Act: -0.0002

Data Index: 1505405 (Python Code)

Max Activating Token Index: 7

Text #3

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Max Act: 0.0333. Min Act: -0.0002

Data Index: 1496007 (Python Code)

Max Activating Token Index: 9

Text #4

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1485124 (Python Code)

Max Activating Token Index: 14

Text #5

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Max Act: 0.0326. Min Act: -0.0002

Data Index: 1410501 (Python Code)

Max Activating Token Index: 70

Text #6

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Data Index: 1440312 (Python Code)

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Text #7

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Data Index: 1520877 (Python Code)

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Text #8

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Data Index: 1556627 (Python Code)

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Text #9

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Data Index: 1523226 (Python Code)

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Text #10

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Data Index: 1449804 (Python Code)

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Text #11

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Data Index: 1616168 (Python Code)

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Text #12

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Data Index: 1431998 (Python Code)

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Text #13

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Data Index: 1383152 (Python Code)

Max Activating Token Index: 420

Text #14

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Data Index: 1421774 (Python Code)

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Text #15

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Data Index: 1562043 (Python Code)

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Text #16

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Data Index: 1368753 (Python Code)

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Text #17

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Data Index: 1525918 (Python Code)

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Text #18

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Data Index: 1546227 (Python Code)

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Text #19

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Max Act: 0.0304. Min Act: -0.0002

Data Index: 1566454 (Python Code)

Max Activating Token Index: 504