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

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

Neuron 1689 in Layer 2

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

Text #0

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Max Act: 0.1783. Min Act: -0.0002

Data Index: 1562203 (Python Code)

Max Activating Token Index: 238

Text #1

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Max Act: 0.1442. Min Act: -0.0002

Data Index: 1485184 (Python Code)

Max Activating Token Index: 778

Text #2

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Max Act: 0.1484. Min Act: -0.0002

Data Index: 1369963 (Python Code)

Max Activating Token Index: 10

Text #3

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Max Act: 0.1381. Min Act: -0.0002

Data Index: 1397617 (Python Code)

Max Activating Token Index: 735

Text #4

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Max Act: 0.1415. Min Act: -0.0002

Data Index: 1406562 (Python Code)

Max Activating Token Index: 428

Text #5

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Max Act: 0.1401. Min Act: -0.0002

Data Index: 1559127 (Python Code)

Max Activating Token Index: 445

Text #6

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Data Index: 1519029 (Python Code)

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Text #7

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Data Index: 1503775 (Python Code)

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Text #8

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Data Index: 1434897 (Python Code)

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Text #9

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Data Index: 1506299 (Python Code)

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Text #10

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Data Index: 1533505 (Python Code)

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Text #11

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Data Index: 1373030 (Python Code)

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Text #12

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Data Index: 1627424 (Python Code)

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Text #13

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Data Index: 1451507 (Python Code)

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Text #14

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Data Index: 1559477 (Python Code)

Max Activating Token Index: 431

Text #15

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Data Index: 1439297 (Python Code)

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Text #16

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Data Index: 1644464 (Python Code)

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Text #17

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Data Index: 1531368 (Python Code)

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Text #18

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Data Index: 1508669 (Python Code)

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Text #19

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Max Act: 0.1185. Min Act: -0.0002

Data Index: 1378749 (Python Code)

Max Activating Token Index: 792