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

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

Neuron 1448 in Layer 0

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

Text #0

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 1587843 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0257. Min Act: -0.0002

Data Index: 1581393 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0223. Min Act: -0.0002

Data Index: 1372896 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0222. Min Act: -0.0002

Data Index: 1454936 (Python Code)

Max Activating Token Index: 536

Text #4

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Max Act: 0.0221. Min Act: -0.0001

Data Index: 1624069 (Python Code)

Max Activating Token Index: 841

Text #5

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Max Act: 0.0220. Min Act: -0.0002

Data Index: 1647527 (Python Code)

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Text #6

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Data Index: 1467959 (Python Code)

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Text #7

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Data Index: 1408827 (Python Code)

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Text #8

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Data Index: 1535158 (Python Code)

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Text #9

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Data Index: 1406677 (Python Code)

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Text #10

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Data Index: 1402659 (Python Code)

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Text #11

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Data Index: 1440174 (Python Code)

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Text #12

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Data Index: 1655568 (Python Code)

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Text #13

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Data Index: 1544728 (Python Code)

Max Activating Token Index: 607

Text #14

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Data Index: 1540792 (Python Code)

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Text #15

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Data Index: 1616160 (Python Code)

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Text #16

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Data Index: 1449878 (Python Code)

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Text #17

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Data Index: 1427323 (Python Code)

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Text #18

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Data Index: 1403277 (Python Code)

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Text #19

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Data Index: 1436990 (Python Code)

Max Activating Token Index: 475