Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3529 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0357. Min Act: -0.0002

Data Index: 1389874 (Python Code)

Max Activating Token Index: 554

Text #1

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Max Act: 0.0318. Min Act: -0.0002

Data Index: 1370340 (Python Code)

Max Activating Token Index: 732

Text #2

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Max Act: 0.0311. Min Act: -0.0002

Data Index: 1597839 (Python Code)

Max Activating Token Index: 364

Text #3

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Max Act: 0.0303. Min Act: -0.0002

Data Index: 1573286 (Python Code)

Max Activating Token Index: 225

Text #4

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Max Act: 0.0299. Min Act: -0.0002

Data Index: 1439149 (Python Code)

Max Activating Token Index: 126

Text #5

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Max Act: 0.0295. Min Act: -0.0002

Data Index: 1490612 (Python Code)

Max Activating Token Index: 27

Text #6

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Data Index: 1636866 (Python Code)

Max Activating Token Index: 667

Text #7

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Data Index: 1629025 (Python Code)

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Text #8

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Data Index: 1463151 (Python Code)

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Text #9

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Data Index: 1422226 (Python Code)

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Text #10

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Data Index: 1416394 (Python Code)

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Text #11

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Data Index: 1573525 (Python Code)

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Text #12

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Data Index: 1500430 (Python Code)

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Text #13

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Data Index: 1392467 (Python Code)

Max Activating Token Index: 26

Text #14

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Data Index: 1574849 (Python Code)

Max Activating Token Index: 362

Text #15

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Data Index: 1494076 (Python Code)

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Text #16

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Data Index: 1368888 (Python Code)

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Text #17

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Data Index: 1591622 (Python Code)

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Text #18

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Data Index: 1485050 (Python Code)

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Text #19

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Data Index: 1430547 (Python Code)

Max Activating Token Index: 29