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

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

Neuron 3239 in Layer 1

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

Text #0

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1508442 (Python Code)

Max Activating Token Index: 811

Text #1

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Max Act: 0.0246. Min Act: -0.0003

Data Index: 1610155 (Python Code)

Max Activating Token Index: 466

Text #2

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Max Act: 0.0248. Min Act: -0.0003

Data Index: 1620188 (Python Code)

Max Activating Token Index: 937

Text #3

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 1547013 (Python Code)

Max Activating Token Index: 327

Text #4

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Max Act: 0.0241. Min Act: -0.0003

Data Index: 1601889 (Python Code)

Max Activating Token Index: 308

Text #5

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Data Index: 1638990 (Python Code)

Max Activating Token Index: 154

Text #6

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Data Index: 1521742 (Python Code)

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Text #7

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Data Index: 1607041 (Python Code)

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Text #8

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Data Index: 1496432 (Python Code)

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Text #9

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Data Index: 1367804 (Python Code)

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Text #10

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Data Index: 1431878 (Python Code)

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Data Index: 1556435 (Python Code)

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Text #12

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Data Index: 1433007 (Python Code)

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Text #13

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Data Index: 1591160 (Python Code)

Max Activating Token Index: 233

Text #14

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Data Index: 1418465 (Python Code)

Max Activating Token Index: 367

Text #15

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Data Index: 1542424 (Python Code)

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Text #16

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Data Index: 1416388 (Python Code)

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Text #17

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Data Index: 1553565 (Python Code)

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Text #18

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Data Index: 1500061 (Python Code)

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Text #19

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Data Index: 1608263 (Python Code)

Max Activating Token Index: 129