Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1884 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0475. Min Act: -0.0005

Data Index: 838340 (C4 (Web Text))

Max Activating Token Index: 209

Text #1

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Max Activating Token Index: 15

Text #2

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Max Activating Token Index: 45

Text #3

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Max Act: 0.0435. Min Act: -0.0005

Data Index: 938710 (C4 (Web Text))

Max Activating Token Index: 993

Text #4

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Max Activating Token Index: 436

Text #5

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Max Activating Token Index: 371

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Max Activating Token Index: 848

Text #9

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Max Activating Token Index: 336

Text #10

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Text #12

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Max Activating Token Index: 320

Text #13

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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: 248

Text #19

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Data Index: 1267348 (C4 (Web Text))

Max Activating Token Index: 765