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

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

Neuron 823 in Layer 6

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

Text #0

Max Range: 0.2096. Min Range: -0.2096

Max Act: 0.2096. Min Act: -0.0000

Data Index: 1624956 (Python Code)

Max Activating Token Index: 377

Text #1

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Max Act: 0.1997. Min Act: -0.0000

Data Index: 1364339 (Python Code)

Max Activating Token Index: 431

Text #2

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Max Act: 0.1935. Min Act: -0.0000

Data Index: 1515759 (Python Code)

Max Activating Token Index: 488

Text #3

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Max Act: 0.2007. Min Act: -0.0000

Data Index: 1574981 (Python Code)

Max Activating Token Index: 649

Text #4

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Max Act: 0.1908. Min Act: -0.0000

Data Index: 1486288 (Python Code)

Max Activating Token Index: 546

Text #5

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Max Act: 0.1919. Min Act: -0.0000

Data Index: 316652 (C4 (Web Text))

Max Activating Token Index: 330

Text #6

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Data Index: 1429998 (Python Code)

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Text #7

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Data Index: 1433739 (Python Code)

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Text #8

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Data Index: 1454669 (Python Code)

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Text #9

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Data Index: 1407898 (Python Code)

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Text #10

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Data Index: 1407001 (Python Code)

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Text #11

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Data Index: 1649633 (Python Code)

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Text #12

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Data Index: 630809 (C4 (Web Text))

Max Activating Token Index: 758

Text #13

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Data Index: 1436923 (Python Code)

Max Activating Token Index: 839

Text #14

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Data Index: 1621327 (Python Code)

Max Activating Token Index: 606

Text #15

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Data Index: 1374360 (Python Code)

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Text #16

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Data Index: 1092453 (C4 (Web Text))

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Text #17

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Data Index: 1637970 (Python Code)

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Text #18

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Data Index: 1316850 (C4 (Web Text))

Max Activating Token Index: 32

Text #19

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Max Act: 0.1701. Min Act: -0.0000

Data Index: 1596009 (Python Code)

Max Activating Token Index: 492