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

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

Neuron 1196 in Layer 0

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

Text #0

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Max Act: 0.0277. Min Act: -0.0002

Data Index: 1651328 (Python Code)

Max Activating Token Index: 898

Text #1

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Max Act: 0.0275. Min Act: -0.0002

Data Index: 1616295 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0274. Min Act: -0.0002

Data Index: 401257 (C4 (Web Text))

Max Activating Token Index: 447

Text #3

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Max Act: 0.0266. Min Act: -0.0001

Data Index: 1509209 (Python Code)

Max Activating Token Index: 66

Text #4

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 1370340 (Python Code)

Max Activating Token Index: 69

Text #5

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Max Act: 0.0264. Min Act: -0.0002

Data Index: 1394113 (Python Code)

Max Activating Token Index: 198

Text #6

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Data Index: 1393855 (Python Code)

Max Activating Token Index: 573

Text #7

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Data Index: 1557559 (Python Code)

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Text #8

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Data Index: 1500987 (Python Code)

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Text #9

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Data Index: 1588113 (Python Code)

Max Activating Token Index: 1023

Text #10

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Data Index: 1611856 (Python Code)

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Text #11

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Data Index: 1406972 (Python Code)

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Text #12

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Data Index: 1465777 (Python Code)

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Text #13

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Data Index: 1502438 (Python Code)

Max Activating Token Index: 24

Text #14

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Data Index: 1484956 (Python Code)

Max Activating Token Index: 24

Text #15

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Data Index: 1465947 (Python Code)

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Text #16

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Data Index: 1447874 (Python Code)

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Text #17

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Data Index: 1473020 (Python Code)

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Text #18

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Data Index: 1576090 (Python Code)

Max Activating Token Index: 32

Text #19

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Max Act: 0.0253. Min Act: -0.0002

Data Index: 1421010 (Python Code)

Max Activating Token Index: 100