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

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

Neuron 3749 in Layer 3

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

Text #0

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Max Act: 0.0569. Min Act: -0.0001

Data Index: 297519 (C4 (Web Text))

Max Activating Token Index: 47

Text #1

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Max Act: 0.0391. Min Act: -0.0001

Data Index: 1472055 (Python Code)

Max Activating Token Index: 222

Text #2

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Max Act: 0.0380. Min Act: -0.0001

Data Index: 321569 (C4 (Web Text))

Max Activating Token Index: 509

Text #3

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Max Act: 0.0372. Min Act: -0.0001

Data Index: 1298590 (C4 (Web Text))

Max Activating Token Index: 729

Text #4

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Max Act: 0.0379. Min Act: -0.0001

Data Index: 1016775 (C4 (Web Text))

Max Activating Token Index: 52

Text #5

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Data Index: 1012183 (C4 (Web Text))

Max Activating Token Index: 25

Text #6

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Max Activating Token Index: 443

Text #7

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Max Activating Token Index: 802

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Data Index: 75019 (C4 (Web Text))

Max Activating Token Index: 317

Text #9

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Max Activating Token Index: 20

Text #10

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Max Activating Token Index: 700

Text #11

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Data Index: 8304 (C4 (Web Text))

Max Activating Token Index: 639

Text #12

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Data Index: 283973 (C4 (Web Text))

Max Activating Token Index: 642

Text #13

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Data Index: 915095 (C4 (Web Text))

Max Activating Token Index: 724

Text #14

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Data Index: 682553 (C4 (Web Text))

Max Activating Token Index: 372

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 453

Text #18

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Data Index: 285071 (C4 (Web Text))

Max Activating Token Index: 93

Text #19

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Data Index: 616673 (C4 (Web Text))

Max Activating Token Index: 78