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

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

Neuron 3342 in Layer 1

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

Text #0

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 510475 (C4 (Web Text))

Max Activating Token Index: 842

Text #1

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 1055503 (C4 (Web Text))

Max Activating Token Index: 958

Text #2

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Max Act: 0.0060. Min Act: -0.0003

Data Index: 536793 (C4 (Web Text))

Max Activating Token Index: 327

Text #3

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1391593 (Python Code)

Max Activating Token Index: 948

Text #4

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Max Act: 0.0095. Min Act: -0.0003

Data Index: 1269737 (C4 (Web Text))

Max Activating Token Index: 174

Text #5

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Max Act: 0.0057. Min Act: -0.0003

Data Index: 1471862 (Python Code)

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Text #6

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Data Index: 1598165 (Python Code)

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Text #7

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Data Index: 1405242 (Python Code)

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Text #8

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Data Index: 1617623 (Python Code)

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Text #9

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Data Index: 1501091 (Python Code)

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Text #10

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Data Index: 1367582 (Python Code)

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Text #11

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Max Activating Token Index: 924

Text #12

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Data Index: 1552486 (Python Code)

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Text #13

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Data Index: 633265 (C4 (Web Text))

Max Activating Token Index: 866

Text #14

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Data Index: 224651 (C4 (Web Text))

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Text #15

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Data Index: 1639801 (Python Code)

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Text #16

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Text #17

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Data Index: 1608791 (Python Code)

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Text #18

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Data Index: 1437340 (Python Code)

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Text #19

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Max Act: 0.0060. Min Act: -0.0003

Data Index: 1464143 (Python Code)

Max Activating Token Index: 915