Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1627 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0208. Min Act: -0.0005

Data Index: 1473504 (Python Code)

Max Activating Token Index: 656

Text #1

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Max Act: 0.0209. Min Act: -0.0005

Data Index: 1478788 (Python Code)

Max Activating Token Index: 836

Text #2

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Max Act: 0.0200. Min Act: -0.0005

Data Index: 1373795 (Python Code)

Max Activating Token Index: 581

Text #3

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Max Act: 0.0200. Min Act: -0.0005

Data Index: 1612228 (Python Code)

Max Activating Token Index: 839

Text #4

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Max Act: 0.0195. Min Act: -0.0005

Data Index: 1394026 (Python Code)

Max Activating Token Index: 22

Text #5

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Data Index: 1441828 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1424834 (Python Code)

Max Activating Token Index: 706

Text #7

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Data Index: 1473539 (Python Code)

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Text #8

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Data Index: 1385450 (Python Code)

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Text #9

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Data Index: 1581746 (Python Code)

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Text #10

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Data Index: 1492749 (Python Code)

Max Activating Token Index: 560

Text #11

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Data Index: 1520910 (Python Code)

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Text #12

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Data Index: 1634662 (Python Code)

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Text #13

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Data Index: 1396833 (Python Code)

Max Activating Token Index: 857

Text #14

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Data Index: 1434765 (Python Code)

Max Activating Token Index: 551

Text #15

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Data Index: 1503095 (Python Code)

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Text #16

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Data Index: 1369723 (Python Code)

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Text #17

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Data Index: 1565322 (Python Code)

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Text #18

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Data Index: 1509190 (Python Code)

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Text #19

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Data Index: 1599313 (Python Code)

Max Activating Token Index: 574