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

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

Neuron 827 in Layer 9

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



Text #0

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Max Act: 0.6325. Min Act: -0.0000

Data Index: 1603997 (Python Code)

Max Activating Token Index: 915

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Text #1

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Data Index: 606753 (C4 (Web Text))

Max Activating Token Index: 686

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Text #2

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Max Act: 0.5640. Min Act: -0.0000

Data Index: 1399599 (Python Code)

Max Activating Token Index: 988

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Text #3

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Data Index: 651997 (C4 (Web Text))

Max Activating Token Index: 193

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Text #4

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Data Index: 1256611 (C4 (Web Text))

Max Activating Token Index: 880

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Text #5

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Data Index: 1361111 (Python Code)

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Text #6

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Text #7

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Data Index: 1004061 (C4 (Web Text))

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Text #8

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Data Index: 1050646 (C4 (Web Text))

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Text #9

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Data Index: 452903 (C4 (Web Text))

Max Activating Token Index: 283

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Text #10

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Text #11

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Text #12

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Data Index: 13985 (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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Text #16

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Text #17

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Data Index: 747890 (C4 (Web Text))

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Text #18

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Data Index: 1097885 (C4 (Web Text))

Max Activating Token Index: 704

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Text #19

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Data Index: 785977 (C4 (Web Text))

Max Activating Token Index: 789

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