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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1297 in Layer 7

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.1071. Min Act: -0.0000

Data Index: 898649 (C4 (Web Text))

Max Activating Token Index: 229

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Text #1

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Max Act: 0.1002. Min Act: -0.0000

Data Index: 933471 (C4 (Web Text))

Max Activating Token Index: 687

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Truncated

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Text #2

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Max Act: 0.1045. Min Act: -0.0000

Data Index: 15795 (C4 (Web Text))

Max Activating Token Index: 175

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Text #3

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Max Act: 0.1005. Min Act: -0.0000

Data Index: 99613 (C4 (Web Text))

Max Activating Token Index: 522

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Truncated

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Text #4

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Data Index: 1564766 (Python Code)

Max Activating Token Index: 518

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Text #5

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Max Act: 0.0954. Min Act: -0.0000

Data Index: 1171137 (C4 (Web Text))

Max Activating Token Index: 334

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Text #6

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Data Index: 980201 (C4 (Web Text))

Max Activating Token Index: 875

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Text #7

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Data Index: 69003 (C4 (Web Text))

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Text #8

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Data Index: 787057 (C4 (Web Text))

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Text #9

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Data Index: 961914 (C4 (Web Text))

Max Activating Token Index: 75

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Text #10

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Data Index: 275228 (C4 (Web Text))

Max Activating Token Index: 822

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Text #11

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Data Index: 1174668 (C4 (Web Text))

Max Activating Token Index: 695

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Text #12

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Data Index: 559626 (C4 (Web Text))

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Text #13

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Data Index: 653844 (C4 (Web Text))

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Text #14

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Data Index: 1466996 (Python Code)

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Text #15

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Data Index: 144161 (C4 (Web Text))

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Text #16

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Data Index: 53061 (C4 (Web Text))

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Text #17

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Data Index: 88567 (C4 (Web Text))

Max Activating Token Index: 850

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Text #18

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Data Index: 1455300 (Python Code)

Max Activating Token Index: 523

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Text #19

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Data Index: 405610 (C4 (Web Text))

Max Activating Token Index: 705

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