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

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

Neuron 4976 in Layer 9

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



Text #0

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Max Act: 0.5940. Min Act: -0.0000

Data Index: 1375709 (Python Code)

Max Activating Token Index: 482

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Text #1

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Data Index: 1653526 (Python Code)

Max Activating Token Index: 437

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Text #2

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Max Act: 0.5774. Min Act: -0.0000

Data Index: 1625620 (Python Code)

Max Activating Token Index: 434

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Text #3

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Max Act: 0.5775. Min Act: -0.0000

Data Index: 1525389 (Python Code)

Max Activating Token Index: 22

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Text #4

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Data Index: 590354 (C4 (Web Text))

Max Activating Token Index: 905

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Text #5

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Data Index: 1403375 (Python Code)

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Text #6

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Data Index: 372073 (C4 (Web Text))

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Text #7

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Data Index: 1656047 (Python Code)

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Text #8

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Data Index: 1624888 (Python Code)

Max Activating Token Index: 363

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Text #9

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Data Index: 1387466 (Python Code)

Max Activating Token Index: 689

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Text #10

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Data Index: 1465526 (Python Code)

Max Activating Token Index: 643

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Text #13

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Data Index: 620868 (C4 (Web Text))

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Text #14

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Data Index: 1387915 (Python Code)

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Text #15

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Data Index: 206234 (C4 (Web Text))

Max Activating Token Index: 822

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Text #16

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Data Index: 1140900 (C4 (Web Text))

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Text #17

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Data Index: 1574844 (Python Code)

Max Activating Token Index: 790

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Text #18

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Data Index: 1589171 (Python Code)

Max Activating Token Index: 1018

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Text #19

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Data Index: 1577978 (Python Code)

Max Activating Token Index: 628

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