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

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

Neuron 3543 in Layer 4

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

Text #0

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Max Act: 0.2067. Min Act: -0.0001

Data Index: 499905 (C4 (Web Text))

Max Activating Token Index: 481

Text #1

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Max Act: 0.1782. Min Act: -0.0001

Data Index: 479880 (C4 (Web Text))

Max Activating Token Index: 618

Text #2

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Max Act: 0.2010. Min Act: -0.0001

Data Index: 1358715 (C4 (Web Text))

Max Activating Token Index: 541

Text #3

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Max Act: 0.1895. Min Act: -0.0001

Data Index: 778921 (C4 (Web Text))

Max Activating Token Index: 738

Text #4

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Max Act: 0.2071. Min Act: -0.0001

Data Index: 701178 (C4 (Web Text))

Max Activating Token Index: 250

Text #5

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Data Index: 1174556 (C4 (Web Text))

Max Activating Token Index: 228

Text #6

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Data Index: 1474528 (Python Code)

Max Activating Token Index: 622

Text #7

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Data Index: 506371 (C4 (Web Text))

Max Activating Token Index: 615

Text #8

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Max Activating Token Index: 94

Text #9

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Max Activating Token Index: 441

Text #10

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Max Activating Token Index: 1021

Text #11

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Data Index: 327247 (C4 (Web Text))

Max Activating Token Index: 547

Text #12

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Max Activating Token Index: 838

Text #13

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Data Index: 712900 (C4 (Web Text))

Max Activating Token Index: 166

Text #14

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Max Activating Token Index: 109

Text #15

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Max Activating Token Index: 330

Text #16

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Max Activating Token Index: 286

Text #17

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Max Activating Token Index: 887

Text #18

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Max Activating Token Index: 558

Text #19

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Max Act: 0.1608. Min Act: -0.0001

Data Index: 404380 (C4 (Web Text))

Max Activating Token Index: 525