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

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

Neuron 2845 in Layer 1

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

Text #0

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Max Act: 0.0436. Min Act: -0.0003

Data Index: 1372980 (Python Code)

Max Activating Token Index: 29

Text #1

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Max Act: 0.0375. Min Act: -0.0002

Data Index: 1549749 (Python Code)

Max Activating Token Index: 36

Text #2

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Max Act: 0.0373. Min Act: -0.0002

Data Index: 1584539 (Python Code)

Max Activating Token Index: 40

Text #3

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Max Act: 0.0354. Min Act: -0.0002

Data Index: 1473075 (Python Code)

Max Activating Token Index: 85

Text #4

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Max Act: 0.0356. Min Act: -0.0002

Data Index: 1367627 (Python Code)

Max Activating Token Index: 7

Text #5

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Max Act: 0.0349. Min Act: -0.0003

Data Index: 1522030 (Python Code)

Max Activating Token Index: 34

Text #6

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Max Act: 0.0349. Min Act: -0.0002

Data Index: 1507049 (Python Code)

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Text #7

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Data Index: 1573181 (Python Code)

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Text #8

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Data Index: 1559892 (Python Code)

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Text #9

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Data Index: 1446977 (Python Code)

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Text #10

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Data Index: 1489360 (Python Code)

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Text #11

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Data Index: 1384323 (Python Code)

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Text #12

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Data Index: 1489897 (Python Code)

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Text #13

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Data Index: 1404647 (Python Code)

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Text #14

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Data Index: 1613662 (Python Code)

Max Activating Token Index: 91

Text #15

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Data Index: 1427352 (Python Code)

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Text #16

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Data Index: 1433936 (Python Code)

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Text #17

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Data Index: 1550620 (Python Code)

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Text #18

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Data Index: 1504829 (Python Code)

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Text #19

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Data Index: 1515039 (Python Code)

Max Activating Token Index: 11