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

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

Neuron 1605 in Layer 1

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

Text #0

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Max Act: 0.0250. Min Act: -0.0006

Data Index: 162380 (C4 (Web Text))

Max Activating Token Index: 790

Text #1

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Max Activating Token Index: 188

Text #2

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Max Activating Token Index: 284

Text #3

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Max Activating Token Index: 722

Text #4

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Max Activating Token Index: 655

Text #5

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Max Activating Token Index: 481

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 238

Text #11

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Max Activating Token Index: 251

Text #12

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Max Activating Token Index: 354

Text #13

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Max Activating Token Index: 392

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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Max Activating Token Index: 199

Text #19

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Data Index: 650773 (C4 (Web Text))

Max Activating Token Index: 508