Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1385 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0458. Min Act: -0.0003

Data Index: 169677 (C4 (Web Text))

Max Activating Token Index: 842

Text #1

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Max Activating Token Index: 376

Text #2

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Max Act: 0.0450. Min Act: -0.0003

Data Index: 791667 (C4 (Web Text))

Max Activating Token Index: 737

Text #3

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Max Act: 0.0431. Min Act: -0.0002

Data Index: 301244 (C4 (Web Text))

Max Activating Token Index: 650

Text #4

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Data Index: 1278656 (C4 (Web Text))

Max Activating Token Index: 535

Text #5

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Max Activating Token Index: 672

Text #6

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Data Index: 430463 (C4 (Web Text))

Max Activating Token Index: 174

Text #7

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Max Activating Token Index: 1000

Text #8

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Max Activating Token Index: 636

Text #9

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Text #10

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Text #11

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Text #12

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Max Activating Token Index: 863

Text #13

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Max Activating Token Index: 833

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 768853 (C4 (Web Text))

Max Activating Token Index: 459