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

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

Neuron 290 in Layer 1

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

Text #0

Max Range: 0.0044. Min Range: -0.0044

Max Act: 0.0044. Min Act: -0.0003

Data Index: 1560418 (Python Code)

Max Activating Token Index: 147

Text #1

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Data Index: 1599892 (Python Code)

Max Activating Token Index: 877

Text #2

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Max Act: 0.0037. Min Act: -0.0003

Data Index: 1392623 (Python Code)

Max Activating Token Index: 732

Text #3

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Max Act: 0.0035. Min Act: -0.0002

Data Index: 1418842 (Python Code)

Max Activating Token Index: 681

Text #4

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Max Act: 0.0034. Min Act: -0.0002

Data Index: 718919 (C4 (Web Text))

Max Activating Token Index: 545

Text #5

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Data Index: 1434965 (Python Code)

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Text #6

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Data Index: 1377871 (Python Code)

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Text #7

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Data Index: 528073 (C4 (Web Text))

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Text #8

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Data Index: 53384 (C4 (Web Text))

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Text #9

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Data Index: 1624717 (Python Code)

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Text #10

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Data Index: 182927 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1477014 (Python Code)

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Text #13

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Data Index: 1367935 (Python Code)

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Text #14

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Data Index: 1492471 (Python Code)

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Text #15

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Data Index: 1368395 (Python Code)

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Text #16

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Data Index: 1585914 (Python Code)

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Text #17

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Data Index: 706587 (C4 (Web Text))

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Text #18

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Data Index: 211502 (C4 (Web Text))

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Text #19

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Max Act: 0.0032. Min Act: -0.0002

Data Index: 1430594 (Python Code)

Max Activating Token Index: 233