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

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

Neuron 4663 in Layer 1

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

Text #0

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Max Act: 0.0172. Min Act: -0.0002

Data Index: 1639421 (Python Code)

Max Activating Token Index: 166

Text #1

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Data Index: 1407425 (Python Code)

Max Activating Token Index: 48

Text #2

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Max Act: 0.0144. Min Act: -0.0003

Data Index: 592558 (C4 (Web Text))

Max Activating Token Index: 535

Text #3

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 1575153 (Python Code)

Max Activating Token Index: 622

Text #4

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 1531058 (Python Code)

Max Activating Token Index: 616

Text #5

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Data Index: 1572818 (Python Code)

Max Activating Token Index: 446

Text #6

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Data Index: 1536620 (Python Code)

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Text #7

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Data Index: 1537830 (Python Code)

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Text #8

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Data Index: 1480271 (Python Code)

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Text #9

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Data Index: 1518647 (Python Code)

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Text #10

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Data Index: 1490967 (Python Code)

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Text #11

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Data Index: 1490952 (Python Code)

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Text #12

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Data Index: 1599647 (Python Code)

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Text #13

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Data Index: 1417976 (Python Code)

Max Activating Token Index: 752

Text #14

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Data Index: 1401587 (Python Code)

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Text #15

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Data Index: 1624563 (Python Code)

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Text #16

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Data Index: 1616733 (Python Code)

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Text #17

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Data Index: 1451079 (Python Code)

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Text #18

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Data Index: 989644 (C4 (Web Text))

Max Activating Token Index: 638

Text #19

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Data Index: 1491709 (Python Code)

Max Activating Token Index: 716