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

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

Neuron 1526 in Layer 0

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

Text #0

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Max Act: 0.0045. Min Act: -0.0002

Data Index: 853141 (C4 (Web Text))

Max Activating Token Index: 879

Text #1

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Max Act: 0.0042. Min Act: -0.0002

Data Index: 737417 (C4 (Web Text))

Max Activating Token Index: 897

Text #2

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Max Act: 0.0042. Min Act: -0.0002

Data Index: 319368 (C4 (Web Text))

Max Activating Token Index: 950

Text #3

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Max Act: 0.0040. Min Act: -0.0002

Data Index: 1233114 (C4 (Web Text))

Max Activating Token Index: 895

Text #4

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Max Act: 0.0039. Min Act: -0.0002

Data Index: 223060 (C4 (Web Text))

Max Activating Token Index: 918

Text #5

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Max Act: 0.0038. Min Act: -0.0002

Data Index: 233824 (C4 (Web Text))

Max Activating Token Index: 922

Text #6

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Data Index: 1319174 (C4 (Web Text))

Max Activating Token Index: 952

Text #7

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Data Index: 819524 (C4 (Web Text))

Max Activating Token Index: 947

Text #8

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Data Index: 179825 (C4 (Web Text))

Max Activating Token Index: 815

Text #9

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Data Index: 527420 (C4 (Web Text))

Max Activating Token Index: 984

Text #10

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Data Index: 761775 (C4 (Web Text))

Max Activating Token Index: 888

Text #11

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Text #12

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Data Index: 554169 (C4 (Web Text))

Max Activating Token Index: 800

Text #13

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Data Index: 656424 (C4 (Web Text))

Max Activating Token Index: 908

Text #14

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Data Index: 753881 (C4 (Web Text))

Max Activating Token Index: 869

Text #15

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Data Index: 1537941 (Python Code)

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Text #16

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Data Index: 1155594 (C4 (Web Text))

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Text #17

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Data Index: 744862 (C4 (Web Text))

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Text #18

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Data Index: 1048276 (C4 (Web Text))

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Text #19

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Max Act: 0.0033. Min Act: -0.0002

Data Index: 635786 (C4 (Web Text))

Max Activating Token Index: 873