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

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

Neuron 308 in Layer 1

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

Text #0

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Max Act: 0.0216. Min Act: -0.0002

Data Index: 1557180 (Python Code)

Max Activating Token Index: 165

Text #1

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 1503696 (Python Code)

Max Activating Token Index: 533

Text #2

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 1526879 (Python Code)

Max Activating Token Index: 403

Text #3

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Max Act: 0.0209. Min Act: -0.0002

Data Index: 1461299 (Python Code)

Max Activating Token Index: 612

Text #4

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Max Act: 0.0211. Min Act: -0.0003

Data Index: 1018379 (C4 (Web Text))

Max Activating Token Index: 218

Text #5

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1450803 (Python Code)

Max Activating Token Index: 576

Text #6

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Data Index: 1477777 (Python Code)

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Text #7

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Data Index: 1600047 (Python Code)

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Text #8

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Data Index: 1457248 (Python Code)

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Text #9

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Data Index: 1604540 (Python Code)

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Text #10

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Data Index: 1367594 (Python Code)

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Data Index: 1485526 (Python Code)

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Text #12

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Data Index: 1507049 (Python Code)

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Text #13

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Data Index: 1541750 (Python Code)

Max Activating Token Index: 488

Text #14

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Data Index: 1612825 (Python Code)

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Text #15

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Data Index: 1616999 (Python Code)

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Text #16

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Data Index: 1450274 (Python Code)

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Text #17

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Data Index: 1637945 (Python Code)

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Text #18

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Data Index: 1488483 (Python Code)

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Text #19

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Max Act: 0.0181. Min Act: -0.0003

Data Index: 1589483 (Python Code)

Max Activating Token Index: 765