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

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

Neuron 4103 in Layer 8

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



Text #0

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Max Act: 3.2031. Min Act: -0.0000

Data Index: 889566 (C4 (Web Text))

Max Activating Token Index: 323

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Text #1

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Max Act: 3.0400. Min Act: -0.0000

Data Index: 1501086 (Python Code)

Max Activating Token Index: 302

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Text #2

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Max Act: 3.1463. Min Act: -0.0000

Data Index: 1606744 (Python Code)

Max Activating Token Index: 527

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Text #3

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Max Act: 2.9780. Min Act: -0.0000

Data Index: 1138737 (C4 (Web Text))

Max Activating Token Index: 651

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Text #4

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Max Act: 2.8549. Min Act: -0.0000

Data Index: 1349123 (C4 (Web Text))

Max Activating Token Index: 917

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Text #5

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Data Index: 1330881 (C4 (Web Text))

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Text #6

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Data Index: 199544 (C4 (Web Text))

Max Activating Token Index: 441

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Text #7

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Data Index: 498789 (C4 (Web Text))

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Text #8

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Data Index: 379675 (C4 (Web Text))

Max Activating Token Index: 237

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Text #9

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Data Index: 502686 (C4 (Web Text))

Max Activating Token Index: 900

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Text #10

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Data Index: 862047 (C4 (Web Text))

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Text #11

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Data Index: 21580 (C4 (Web Text))

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Text #12

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Data Index: 1276922 (C4 (Web Text))

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Text #13

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Data Index: 649958 (C4 (Web Text))

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Text #14

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Data Index: 904490 (C4 (Web Text))

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Text #15

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Data Index: 1280734 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 675196 (C4 (Web Text))

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Text #18

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Data Index: 1285271 (C4 (Web Text))

Max Activating Token Index: 144

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Text #19

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Data Index: 1638796 (Python Code)

Max Activating Token Index: 997

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