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

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

Neuron 2329 in Layer 0

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

Text #0

Max Range: 0.0301. Min Range: -0.0301

Max Act: 0.0301. Min Act: -0.0001

Data Index: 1411197 (Python Code)

Max Activating Token Index: 11

Text #1

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 1597378 (Python Code)

Max Activating Token Index: 4

Text #2

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Max Act: 0.0284. Min Act: -0.0001

Data Index: 1568369 (Python Code)

Max Activating Token Index: 7

Text #3

Max Range: 0.0301. Min Range: -0.0301

Max Act: 0.0278. Min Act: -0.0002

Data Index: 1395940 (Python Code)

Max Activating Token Index: 27

Text #4

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Max Act: 0.0283. Min Act: -0.0001

Data Index: 1464177 (Python Code)

Max Activating Token Index: 50

Text #5

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Max Act: 0.0281. Min Act: -0.0001

Data Index: 1468112 (Python Code)

Max Activating Token Index: 56

Text #6

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Max Act: 0.0278. Min Act: -0.0001

Data Index: 1417888 (Python Code)

Max Activating Token Index: 73

Text #7

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Max Act: 0.0274. Min Act: -0.0002

Data Index: 1551459 (Python Code)

Max Activating Token Index: 7

Text #8

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Max Act: 0.0278. Min Act: -0.0001

Data Index: 1511043 (Python Code)

Max Activating Token Index: 22

Text #9

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Max Act: 0.0268. Min Act: -0.0001

Data Index: 1409273 (Python Code)

Max Activating Token Index: 57

Text #10

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 1531777 (Python Code)

Max Activating Token Index: 12

Text #11

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 1509589 (Python Code)

Max Activating Token Index: 7

Text #12

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 1470684 (Python Code)

Max Activating Token Index: 17

Text #13

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 1636136 (Python Code)

Max Activating Token Index: 34

Text #14

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Max Act: 0.0262. Min Act: -0.0002

Data Index: 1454516 (Python Code)

Max Activating Token Index: 32

Text #15

Max Range: 0.0301. Min Range: -0.0301

Max Act: 0.0262. Min Act: -0.0002

Data Index: 1561978 (Python Code)

Max Activating Token Index: 55

Text #16

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Max Act: 0.0260. Min Act: -0.0001

Data Index: 1630466 (Python Code)

Max Activating Token Index: 34

Text #17

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Max Act: 0.0253. Min Act: -0.0001

Data Index: 1480351 (Python Code)

Max Activating Token Index: 33

Text #18

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Max Act: 0.0253. Min Act: -0.0001

Data Index: 1585272 (Python Code)

Max Activating Token Index: 50

Text #19

Max Range: 0.0301. Min Range: -0.0301

Max Act: 0.0252. Min Act: -0.0002

Data Index: 1478793 (Python Code)

Max Activating Token Index: 692