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

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

Neuron 2485 in Layer 4

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

Text #0

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Max Act: 0.0277. Min Act: -0.0001

Data Index: 519602 (C4 (Web Text))

Max Activating Token Index: 576

Text #1

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Max Act: 0.0295. Min Act: -0.0000

Data Index: 1238450 (C4 (Web Text))

Max Activating Token Index: 633

Text #2

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Max Act: 0.0272. Min Act: -0.0000

Data Index: 1094011 (C4 (Web Text))

Max Activating Token Index: 797

Text #3

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Max Act: 0.0279. Min Act: -0.0000

Data Index: 312727 (C4 (Web Text))

Max Activating Token Index: 389

Text #4

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Data Index: 976410 (C4 (Web Text))

Max Activating Token Index: 909

Text #5

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Data Index: 1121269 (C4 (Web Text))

Max Activating Token Index: 957

Text #6

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Data Index: 340051 (C4 (Web Text))

Max Activating Token Index: 969

Text #7

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Data Index: 1485866 (Python Code)

Max Activating Token Index: 737

Text #8

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Data Index: 601535 (C4 (Web Text))

Max Activating Token Index: 989

Text #9

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Data Index: 1044657 (C4 (Web Text))

Max Activating Token Index: 655

Text #10

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Data Index: 625052 (C4 (Web Text))

Max Activating Token Index: 610

Text #11

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Data Index: 430982 (C4 (Web Text))

Max Activating Token Index: 430

Text #12

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Data Index: 1157506 (C4 (Web Text))

Max Activating Token Index: 531

Text #13

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Data Index: 1533334 (Python Code)

Max Activating Token Index: 892

Text #14

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Data Index: 869757 (C4 (Web Text))

Max Activating Token Index: 255

Text #15

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Max Activating Token Index: 616

Text #16

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Max Activating Token Index: 279

Text #17

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Max Activating Token Index: 917

Text #18

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Data Index: 171423 (C4 (Web Text))

Max Activating Token Index: 755

Text #19

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Max Act: 0.0217. Min Act: -0.0000

Data Index: 1357885 (C4 (Web Text))

Max Activating Token Index: 207