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

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

Neuron 2828 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.1463. Min Act: -0.0001

Data Index: 45872 (C4 (Web Text))

Max Activating Token Index: 843

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Text #1

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Max Act: 0.1374. Min Act: -0.0001

Data Index: 1540533 (Python Code)

Max Activating Token Index: 701

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Truncated

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Text #2

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Max Act: 0.1127. Min Act: -0.0001

Data Index: 567799 (C4 (Web Text))

Max Activating Token Index: 364

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Text #3

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Max Act: 0.1091. Min Act: -0.0001

Data Index: 947509 (C4 (Web Text))

Max Activating Token Index: 762

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Truncated

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Text #4

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Data Index: 722884 (C4 (Web Text))

Max Activating Token Index: 667

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Text #5

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Data Index: 939871 (C4 (Web Text))

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Text #6

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Data Index: 1032832 (C4 (Web Text))

Max Activating Token Index: 393

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Text #7

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Data Index: 160330 (C4 (Web Text))

Max Activating Token Index: 1012

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Truncated

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Text #8

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Data Index: 975662 (C4 (Web Text))

Max Activating Token Index: 186

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Text #9

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Data Index: 1206888 (C4 (Web Text))

Max Activating Token Index: 175

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Text #10

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Data Index: 1165663 (C4 (Web Text))

Max Activating Token Index: 799

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Text #11

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Text #12

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Data Index: 840786 (C4 (Web Text))

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Text #13

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Data Index: 452874 (C4 (Web Text))

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Text #14

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Data Index: 1171281 (C4 (Web Text))

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Text #15

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Data Index: 692454 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #16

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Data Index: 322239 (C4 (Web Text))

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Text #17

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Data Index: 74728 (C4 (Web Text))

Max Activating Token Index: 476

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Text #18

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Data Index: 52168 (C4 (Web Text))

Max Activating Token Index: 401

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Text #19

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Data Index: 1431875 (Python Code)

Max Activating Token Index: 974

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