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

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

Neuron 4198 in Layer 9

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



Text #0

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Max Act: 0.6605. Min Act: -0.0000

Data Index: 1079635 (C4 (Web Text))

Max Activating Token Index: 85

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Text #1

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Max Act: 0.5856. Min Act: -0.0000

Data Index: 60757 (C4 (Web Text))

Max Activating Token Index: 195

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Text #2

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Max Act: 0.5630. Min Act: -0.0000

Data Index: 59130 (C4 (Web Text))

Max Activating Token Index: 902

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Text #3

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Data Index: 698574 (C4 (Web Text))

Max Activating Token Index: 77

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Text #4

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Data Index: 848012 (C4 (Web Text))

Max Activating Token Index: 395

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Text #5

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Data Index: 1414589 (Python Code)

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Text #6

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Data Index: 357914 (C4 (Web Text))

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Text #7

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Data Index: 655300 (C4 (Web Text))

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Text #8

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Data Index: 1419299 (Python Code)

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Text #9

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Data Index: 309068 (C4 (Web Text))

Max Activating Token Index: 991

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Text #10

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Data Index: 621072 (C4 (Web Text))

Max Activating Token Index: 449

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Text #11

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Text #12

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Data Index: 1137542 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 57757 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1283879 (C4 (Web Text))

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Text #18

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Data Index: 1063962 (C4 (Web Text))

Max Activating Token Index: 280

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Text #19

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Data Index: 727152 (C4 (Web Text))

Max Activating Token Index: 821

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