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

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

Neuron 1489 in Layer 2

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

Text #0

Max Range: 0.0476. Min Range: -0.0476

Max Act: 0.0462. Min Act: -0.0002

Data Index: 1460460 (Python Code)

Max Activating Token Index: 217

Text #1

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Max Act: 0.0476. Min Act: -0.0002

Data Index: 1453102 (Python Code)

Max Activating Token Index: 21

Text #2

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Max Act: 0.0439. Min Act: -0.0002

Data Index: 1638712 (Python Code)

Max Activating Token Index: 70

Text #3

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Max Act: 0.0414. Min Act: -0.0002

Data Index: 1364585 (Python Code)

Max Activating Token Index: 14

Text #4

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Max Act: 0.0451. Min Act: -0.0002

Data Index: 1628384 (Python Code)

Max Activating Token Index: 497

Text #5

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Max Act: 0.0414. Min Act: -0.0002

Data Index: 1387031 (Python Code)

Max Activating Token Index: 19

Text #6

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Data Index: 1476322 (Python Code)

Max Activating Token Index: 428

Text #7

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Data Index: 1642089 (Python Code)

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Text #8

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Data Index: 1591935 (Python Code)

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Text #9

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Data Index: 1374406 (Python Code)

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Text #10

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Data Index: 1537412 (Python Code)

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Text #11

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Data Index: 1641267 (Python Code)

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Text #12

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Data Index: 1478136 (Python Code)

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Text #13

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Data Index: 1581788 (Python Code)

Max Activating Token Index: 26

Text #14

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Data Index: 1552391 (Python Code)

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Text #15

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Data Index: 1649419 (Python Code)

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Text #16

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Data Index: 1643494 (Python Code)

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Text #17

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Data Index: 1570971 (Python Code)

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Text #18

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Data Index: 1438569 (Python Code)

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Text #19

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Data Index: 1518441 (Python Code)

Max Activating Token Index: 260