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

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

Neuron 497 in Layer 1

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

Text #0

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Max Act: 0.0324. Min Act: -0.0002

Data Index: 1652466 (Python Code)

Max Activating Token Index: 48

Text #1

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Max Act: 0.0310. Min Act: -0.0002

Data Index: 1608022 (Python Code)

Max Activating Token Index: 50

Text #2

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Max Act: 0.0294. Min Act: -0.0002

Data Index: 1495497 (Python Code)

Max Activating Token Index: 315

Text #3

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Max Act: 0.0293. Min Act: -0.0003

Data Index: 1427293 (Python Code)

Max Activating Token Index: 372

Text #4

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Max Act: 0.0289. Min Act: -0.0003

Data Index: 1567026 (Python Code)

Max Activating Token Index: 34

Text #5

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Max Act: 0.0294. Min Act: -0.0003

Data Index: 1446675 (Python Code)

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Text #6

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Data Index: 1386299 (Python Code)

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Text #7

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Data Index: 1616989 (Python Code)

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Text #8

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Data Index: 1436541 (Python Code)

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Data Index: 1606706 (Python Code)

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Text #10

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Data Index: 1360885 (Python Code)

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Text #11

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Data Index: 1463691 (Python Code)

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Text #12

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Data Index: 1411534 (Python Code)

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Text #13

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Data Index: 1550827 (Python Code)

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Text #14

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Data Index: 1535250 (Python Code)

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Text #15

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Data Index: 1460541 (Python Code)

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Text #16

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Data Index: 1387862 (Python Code)

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Text #17

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Data Index: 1466296 (Python Code)

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Text #18

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Data Index: 1362750 (Python Code)

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Text #19

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Data Index: 1551315 (Python Code)

Max Activating Token Index: 281