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

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

Neuron 38 in Layer 3

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



Text #0

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Max Act: 0.6999. Min Act: -0.0001

Data Index: 1457877 (Python Code)

Max Activating Token Index: 243

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Text #1

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Data Index: 1040940 (C4 (Web Text))

Max Activating Token Index: 735

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Text #2

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Max Act: 0.6999. Min Act: -0.0001

Data Index: 1162967 (C4 (Web Text))

Max Activating Token Index: 254

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Text #3

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Data Index: 393405 (C4 (Web Text))

Max Activating Token Index: 375

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Text #4

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Data Index: 1628073 (Python Code)

Max Activating Token Index: 179

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Text #5

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Data Index: 798847 (C4 (Web Text))

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Text #6

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Data Index: 995832 (C4 (Web Text))

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Text #7

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Data Index: 1453921 (Python Code)

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Text #8

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Data Index: 765554 (C4 (Web Text))

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Text #9

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Data Index: 873592 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Data Index: 1584361 (Python Code)

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Text #13

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Text #14

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Data Index: 1100854 (C4 (Web Text))

Max Activating Token Index: 704

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Text #15

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Data Index: 941601 (C4 (Web Text))

Max Activating Token Index: 669

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Text #16

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Text #17

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Data Index: 735882 (C4 (Web Text))

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Text #18

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Data Index: 1009616 (C4 (Web Text))

Max Activating Token Index: 494

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Text #19

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Data Index: 208541 (C4 (Web Text))

Max Activating Token Index: 930

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