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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4803 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.0289. Min Act: -0.0000

Data Index: 1172009 (C4 (Web Text))

Max Activating Token Index: 811

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Text #1

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Max Act: 0.8619. Min Act: -0.0000

Data Index: 266080 (C4 (Web Text))

Max Activating Token Index: 472

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Text #2

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Max Act: 0.8357. Min Act: -0.0000

Data Index: 1388930 (Python Code)

Max Activating Token Index: 1018

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Text #3

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Max Act: 0.7596. Min Act: -0.0000

Data Index: 504401 (C4 (Web Text))

Max Activating Token Index: 117

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Text #4

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Max Act: 0.7783. Min Act: -0.0001

Data Index: 304305 (C4 (Web Text))

Max Activating Token Index: 639

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Text #5

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Data Index: 453994 (C4 (Web Text))

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Text #6

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Data Index: 969669 (C4 (Web Text))

Max Activating Token Index: 732

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Text #7

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Data Index: 464035 (C4 (Web Text))

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Text #8

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Data Index: 498798 (C4 (Web Text))

Max Activating Token Index: 870

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Text #9

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Data Index: 1408828 (Python Code)

Max Activating Token Index: 976

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Text #10

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Data Index: 294956 (C4 (Web Text))

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Text #11

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Data Index: 1261963 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 995808 (C4 (Web Text))

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Text #14

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Data Index: 1122702 (C4 (Web Text))

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Text #15

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Data Index: 302403 (C4 (Web Text))

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Text #16

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Data Index: 60854 (C4 (Web Text))

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Text #17

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Data Index: 485783 (C4 (Web Text))

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Text #18

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Data Index: 93814 (C4 (Web Text))

Max Activating Token Index: 262

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Text #19

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Data Index: 908999 (C4 (Web Text))

Max Activating Token Index: 445

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