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

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

Neuron 2322 in Layer 0

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



Text #0

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 231830 (C4 (Web Text))

Max Activating Token Index: 846

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Text #1

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Max Act: 0.0001. Min Act: -0.0001

Data Index: 1629756 (Python Code)

Max Activating Token Index: 784

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Text #2

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1426577 (Python Code)

Max Activating Token Index: 917

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Text #3

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Max Act: 0.0001. Min Act: -0.0001

Data Index: 1426041 (Python Code)

Max Activating Token Index: 945

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Text #4

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1485880 (Python Code)

Max Activating Token Index: 568

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Text #5

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1541154 (Python Code)

Max Activating Token Index: 989

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Text #6

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Data Index: 1605123 (Python Code)

Max Activating Token Index: 924

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Text #7

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1453797 (Python Code)

Max Activating Token Index: 696

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Text #8

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Data Index: 1637980 (Python Code)

Max Activating Token Index: 871

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Text #9

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1410273 (Python Code)

Max Activating Token Index: 747

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Text #10

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1109219 (C4 (Web Text))

Max Activating Token Index: 651

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Text #11

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Data Index: 1389789 (Python Code)

Max Activating Token Index: 798

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Text #12

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Data Index: 1430780 (Python Code)

Max Activating Token Index: 688

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Text #13

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Data Index: 1630187 (Python Code)

Max Activating Token Index: 606

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Text #14

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1370480 (Python Code)

Max Activating Token Index: 528

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Text #15

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Data Index: 1635293 (Python Code)

Max Activating Token Index: 765

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Text #16

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Data Index: 1466972 (Python Code)

Max Activating Token Index: 791

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Text #17

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Data Index: 1565130 (Python Code)

Max Activating Token Index: 630

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Text #18

Max Range: 0.0001. Min Range: -0.0001

Max Act: 0.0001. Min Act: -0.0002

Data Index: 1590668 (Python Code)

Max Activating Token Index: 667

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Text #19

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Max Act: 0.0001. Min Act: -0.0002

Data Index: 1583746 (Python Code)

Max Activating Token Index: 1023

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