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

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

Neuron 3234 in Layer 9

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



Text #0

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Max Act: 0.5565. Min Act: -0.0000

Data Index: 936388 (C4 (Web Text))

Max Activating Token Index: 309

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Text #1

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Max Act: 0.4876. Min Act: -0.0000

Data Index: 861538 (C4 (Web Text))

Max Activating Token Index: 978

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Text #2

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Max Act: 0.4835. Min Act: -0.0000

Data Index: 792348 (C4 (Web Text))

Max Activating Token Index: 485

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Text #3

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Max Act: 0.4417. Min Act: -0.0000

Data Index: 490951 (C4 (Web Text))

Max Activating Token Index: 279

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Text #4

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Max Act: 0.4395. Min Act: -0.0000

Data Index: 476166 (C4 (Web Text))

Max Activating Token Index: 727

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Text #5

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Data Index: 1079717 (C4 (Web Text))

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Text #6

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Data Index: 1582509 (Python Code)

Max Activating Token Index: 989

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Text #7

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Data Index: 721014 (C4 (Web Text))

Max Activating Token Index: 454

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Text #8

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Data Index: 535118 (C4 (Web Text))

Max Activating Token Index: 249

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Text #9

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Data Index: 881461 (C4 (Web Text))

Max Activating Token Index: 418

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Text #10

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Data Index: 1348950 (C4 (Web Text))

Max Activating Token Index: 861

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Text #11

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Data Index: 578468 (C4 (Web Text))

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Text #12

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Data Index: 1302334 (C4 (Web Text))

Max Activating Token Index: 669

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Text #13

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Text #14

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Data Index: 818456 (C4 (Web Text))

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Text #15

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Data Index: 692977 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 620458 (C4 (Web Text))

Max Activating Token Index: 780

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Text #18

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Data Index: 1553833 (Python Code)

Max Activating Token Index: 32

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Text #19

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Data Index: 764702 (C4 (Web Text))

Max Activating Token Index: 127

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