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

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

Neuron 1460 in Layer 1

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

Text #0

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 1583001 (Python Code)

Max Activating Token Index: 4

Text #1

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 1627787 (Python Code)

Max Activating Token Index: 5

Text #2

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Max Act: 0.0354. Min Act: -0.0003

Data Index: 1419252 (Python Code)

Max Activating Token Index: 5

Text #3

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1647183 (Python Code)

Max Activating Token Index: 4

Text #4

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Max Act: 0.0332. Min Act: -0.0003

Data Index: 1512770 (Python Code)

Max Activating Token Index: 8

Text #5

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Max Act: 0.0322. Min Act: -0.0003

Data Index: 1570540 (Python Code)

Max Activating Token Index: 5

Text #6

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Data Index: 1588920 (Python Code)

Max Activating Token Index: 4

Text #7

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Data Index: 1588324 (Python Code)

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Text #8

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Data Index: 1513781 (Python Code)

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Text #9

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Data Index: 1449980 (Python Code)

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Text #10

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Data Index: 1441507 (Python Code)

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Text #11

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Data Index: 1456864 (Python Code)

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Text #12

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Data Index: 1441977 (Python Code)

Max Activating Token Index: 4

Text #13

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Data Index: 1435705 (Python Code)

Max Activating Token Index: 3

Text #14

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Data Index: 1541165 (Python Code)

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Text #15

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Data Index: 1420642 (Python Code)

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Text #16

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Data Index: 1380427 (Python Code)

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Text #17

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Data Index: 1381968 (Python Code)

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Text #18

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Data Index: 1556664 (Python Code)

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Text #19

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Max Act: 0.0282. Min Act: -0.0003

Data Index: 1632019 (Python Code)

Max Activating Token Index: 5