Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2472 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0753. Min Act: -0.0003

Data Index: 673226 (C4 (Web Text))

Max Activating Token Index: 565

Text #1

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Max Act: 0.0702. Min Act: -0.0003

Data Index: 220987 (C4 (Web Text))

Max Activating Token Index: 791

Text #2

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Max Act: 0.0644. Min Act: -0.0003

Data Index: 238698 (C4 (Web Text))

Max Activating Token Index: 996

Text #3

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Max Act: 0.0659. Min Act: -0.0003

Data Index: 457785 (C4 (Web Text))

Max Activating Token Index: 590

Text #4

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Max Act: 0.0608. Min Act: -0.0003

Data Index: 37689 (C4 (Web Text))

Max Activating Token Index: 30

Text #5

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Max Activating Token Index: 695

Text #6

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Data Index: 580415 (C4 (Web Text))

Max Activating Token Index: 27

Text #7

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Text #8

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Max Activating Token Index: 130

Text #9

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Data Index: 580010 (C4 (Web Text))

Max Activating Token Index: 41

Text #10

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Max Activating Token Index: 510

Text #11

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Data Index: 207685 (C4 (Web Text))

Max Activating Token Index: 204

Text #12

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Max Activating Token Index: 179

Text #13

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Data Index: 834203 (C4 (Web Text))

Max Activating Token Index: 14

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 4

Text #17

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Max Activating Token Index: 62

Text #18

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Max Activating Token Index: 307

Text #19

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Data Index: 586815 (C4 (Web Text))

Max Activating Token Index: 744