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

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

Neuron 2543 in Layer 0

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

Text #0

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Max Act: 0.0294. Min Act: -0.0002

Data Index: 1655418 (Python Code)

Max Activating Token Index: 528

Text #1

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Max Act: 0.0284. Min Act: -0.0002

Data Index: 1384565 (Python Code)

Max Activating Token Index: 373

Text #2

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 1570698 (Python Code)

Max Activating Token Index: 957

Text #3

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Max Act: 0.0252. Min Act: -0.0002

Data Index: 1366952 (Python Code)

Max Activating Token Index: 149

Text #4

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 1466358 (Python Code)

Max Activating Token Index: 14

Text #5

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Max Act: 0.0253. Min Act: -0.0002

Data Index: 1454355 (Python Code)

Max Activating Token Index: 117

Text #6

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Data Index: 1622758 (Python Code)

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Text #7

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Data Index: 1493871 (Python Code)

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Text #8

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Data Index: 1601314 (Python Code)

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Text #9

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Data Index: 1577658 (Python Code)

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Text #10

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Data Index: 1468478 (Python Code)

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Text #11

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Data Index: 1566350 (Python Code)

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Text #12

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Data Index: 1590535 (Python Code)

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Text #13

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Data Index: 1577994 (Python Code)

Max Activating Token Index: 521

Text #14

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Data Index: 1622255 (Python Code)

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Text #15

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Data Index: 1404178 (Python Code)

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Text #16

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Data Index: 1626840 (Python Code)

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Text #17

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Data Index: 1622965 (Python Code)

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Text #18

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Data Index: 1442098 (Python Code)

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Text #19

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Max Act: 0.0225. Min Act: -0.0002

Data Index: 1654163 (Python Code)

Max Activating Token Index: 400