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

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

Neuron 3045 in Layer 1

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

Text #0

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Max Act: 0.0271. Min Act: -0.0003

Data Index: 1621218 (Python Code)

Max Activating Token Index: 203

Text #1

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Max Act: 0.0221. Min Act: -0.0003

Data Index: 1504280 (Python Code)

Max Activating Token Index: 68

Text #2

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1520298 (Python Code)

Max Activating Token Index: 887

Text #3

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Max Act: 0.0194. Min Act: -0.0002

Data Index: 1391867 (Python Code)

Max Activating Token Index: 67

Text #4

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Max Act: 0.0191. Min Act: -0.0003

Data Index: 1575383 (Python Code)

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Text #5

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Data Index: 1409720 (Python Code)

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Text #6

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Data Index: 1512907 (Python Code)

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Text #7

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Data Index: 1389536 (Python Code)

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Text #8

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Data Index: 1538282 (Python Code)

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Text #9

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Data Index: 1556012 (Python Code)

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Text #10

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Data Index: 1647089 (Python Code)

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Text #11

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Data Index: 1558668 (Python Code)

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Text #12

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Data Index: 1515009 (Python Code)

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Text #13

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Data Index: 1362968 (Python Code)

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Text #14

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Data Index: 1521267 (Python Code)

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Text #15

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Data Index: 1610130 (Python Code)

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Text #16

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Data Index: 1449647 (Python Code)

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Text #17

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Data Index: 1499970 (Python Code)

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Text #18

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Data Index: 1569812 (Python Code)

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Text #19

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Data Index: 1496320 (Python Code)

Max Activating Token Index: 326