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

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

Neuron 4493 in Layer 1

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

Text #0

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Max Act: 0.0057. Min Act: -0.0002

Data Index: 1612579 (Python Code)

Max Activating Token Index: 385

Text #1

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Max Act: 0.0061. Min Act: -0.0002

Data Index: 1441515 (Python Code)

Max Activating Token Index: 234

Text #2

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Data Index: 1532750 (Python Code)

Max Activating Token Index: 89

Text #3

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Max Act: 0.0060. Min Act: -0.0002

Data Index: 1130579 (C4 (Web Text))

Max Activating Token Index: 179

Text #4

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Max Act: 0.0056. Min Act: -0.0002

Data Index: 1643417 (Python Code)

Max Activating Token Index: 99

Text #5

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Data Index: 1503890 (Python Code)

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Text #6

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Data Index: 1630925 (Python Code)

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Text #7

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Data Index: 1370574 (Python Code)

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Text #8

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Text #9

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Max Activating Token Index: 710

Text #10

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Data Index: 1558613 (Python Code)

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Text #11

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Text #12

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Text #13

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Data Index: 54791 (C4 (Web Text))

Max Activating Token Index: 565

Text #14

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Data Index: 1556669 (Python Code)

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Text #15

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Data Index: 1423424 (Python Code)

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Text #16

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Text #17

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Data Index: 1503936 (Python Code)

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Text #18

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Data Index: 1594097 (Python Code)

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Text #19

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Max Act: 0.0048. Min Act: -0.0002

Data Index: 1554766 (Python Code)

Max Activating Token Index: 294