Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1258 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0914. Min Act: -0.0001

Data Index: 1220083 (C4 (Web Text))

Max Activating Token Index: 543

Text #1

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Max Act: 0.0769. Min Act: -0.0001

Data Index: 889829 (C4 (Web Text))

Max Activating Token Index: 164

Text #2

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Max Act: 0.0637. Min Act: -0.0001

Data Index: 111227 (C4 (Web Text))

Max Activating Token Index: 779

Text #3

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Max Act: 0.0608. Min Act: -0.0001

Data Index: 899236 (C4 (Web Text))

Max Activating Token Index: 715

Text #4

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Max Act: 0.0608. Min Act: -0.0001

Data Index: 367317 (C4 (Web Text))

Max Activating Token Index: 975

Text #5

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Max Act: 0.0600. Min Act: -0.0001

Data Index: 285067 (C4 (Web Text))

Max Activating Token Index: 119

Text #6

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Data Index: 1279840 (C4 (Web Text))

Max Activating Token Index: 76

Text #7

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Max Activating Token Index: 250

Text #8

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Data Index: 1394089 (Python Code)

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Text #9

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Max Activating Token Index: 642

Text #10

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Max Activating Token Index: 492

Text #11

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Data Index: 7488 (C4 (Web Text))

Max Activating Token Index: 454

Text #12

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Max Activating Token Index: 949

Text #13

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Data Index: 1200358 (C4 (Web Text))

Max Activating Token Index: 216

Text #14

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Max Activating Token Index: 997

Text #15

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Max Activating Token Index: 790

Text #16

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Max Activating Token Index: 547

Text #17

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Max Activating Token Index: 569

Text #18

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Data Index: 962035 (C4 (Web Text))

Max Activating Token Index: 295

Text #19

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Data Index: 700159 (C4 (Web Text))

Max Activating Token Index: 904