Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1452 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0429. Min Act: -0.0003

Data Index: 566519 (C4 (Web Text))

Max Activating Token Index: 831

Text #1

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Max Activating Token Index: 680

Text #2

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Max Act: 0.0371. Min Act: -0.0003

Data Index: 914890 (C4 (Web Text))

Max Activating Token Index: 482

Text #3

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Max Act: 0.0342. Min Act: -0.0003

Data Index: 5947 (C4 (Web Text))

Max Activating Token Index: 769

Text #4

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Max Activating Token Index: 744

Text #5

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Max Activating Token Index: 218

Text #6

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Max Activating Token Index: 270

Text #7

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Max Activating Token Index: 259

Text #8

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Max Activating Token Index: 750

Text #9

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Max Activating Token Index: 182

Text #10

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Max Activating Token Index: 219

Text #11

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Text #12

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Max Activating Token Index: 270

Text #13

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Max Activating Token Index: 901

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 399

Text #18

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Text #19

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Data Index: 1285746 (C4 (Web Text))

Max Activating Token Index: 687