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

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

Neuron 2822 in Layer 0

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

Text #0

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Max Act: 0.0233. Min Act: -0.0002

Data Index: 1515514 (Python Code)

Max Activating Token Index: 11

Text #1

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 1628952 (Python Code)

Max Activating Token Index: 402

Text #2

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1483938 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0202. Min Act: -0.0002

Data Index: 1435823 (Python Code)

Max Activating Token Index: 13

Text #4

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 1625282 (Python Code)

Max Activating Token Index: 25

Text #5

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1634835 (Python Code)

Max Activating Token Index: 218

Text #6

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Data Index: 1454094 (Python Code)

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Text #7

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Data Index: 1635110 (Python Code)

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Text #8

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Data Index: 1422673 (Python Code)

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Text #9

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Data Index: 1569257 (Python Code)

Max Activating Token Index: 504

Text #10

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Data Index: 1638064 (Python Code)

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Text #11

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Data Index: 1527055 (Python Code)

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Text #12

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Data Index: 1594842 (Python Code)

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Text #13

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Data Index: 1567910 (Python Code)

Max Activating Token Index: 214

Text #14

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Data Index: 1513294 (Python Code)

Max Activating Token Index: 42

Text #15

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Data Index: 1459011 (Python Code)

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Text #16

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Data Index: 1523214 (Python Code)

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Text #17

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Data Index: 1532677 (Python Code)

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Text #18

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Data Index: 1472866 (Python Code)

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Text #19

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 1581186 (Python Code)

Max Activating Token Index: 1023