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

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

Neuron 844 in Layer 0

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

Text #0

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Max Act: 0.0209. Min Act: -0.0005

Data Index: 1556447 (Python Code)

Max Activating Token Index: 60

Text #1

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Max Act: 0.0207. Min Act: -0.0005

Data Index: 1446306 (Python Code)

Max Activating Token Index: 64

Text #2

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Max Act: 0.0211. Min Act: -0.0005

Data Index: 1655374 (Python Code)

Max Activating Token Index: 31

Text #3

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Max Act: 0.0204. Min Act: -0.0005

Data Index: 1423688 (Python Code)

Max Activating Token Index: 532

Text #4

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Max Act: 0.0205. Min Act: -0.0005

Data Index: 1655561 (Python Code)

Max Activating Token Index: 214

Text #5

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Max Act: 0.0200. Min Act: -0.0005

Data Index: 1592059 (Python Code)

Max Activating Token Index: 861

Text #6

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Data Index: 1468292 (Python Code)

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Text #7

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Data Index: 1484501 (Python Code)

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Text #8

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Data Index: 1654792 (Python Code)

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Text #9

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Data Index: 1518537 (Python Code)

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Text #10

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Data Index: 1601175 (Python Code)

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Text #11

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Data Index: 1602921 (Python Code)

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Text #12

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Data Index: 1465934 (Python Code)

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Text #13

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Data Index: 1403984 (Python Code)

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Text #14

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Data Index: 1532225 (Python Code)

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Text #15

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Data Index: 1418620 (Python Code)

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Text #16

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Data Index: 1599629 (Python Code)

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Text #17

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Data Index: 1631404 (Python Code)

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Text #18

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Data Index: 1446054 (Python Code)

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Text #19

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Data Index: 1627324 (Python Code)

Max Activating Token Index: 777