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

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

Neuron 1979 in Layer 1

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

Text #0

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Max Act: 0.0470. Min Act: -0.0006

Data Index: 1332763 (C4 (Web Text))

Max Activating Token Index: 554

Text #1

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Max Activating Token Index: 163

Text #2

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Data Index: 322630 (C4 (Web Text))

Max Activating Token Index: 345

Text #3

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Max Act: 0.0441. Min Act: -0.0006

Data Index: 83117 (C4 (Web Text))

Max Activating Token Index: 11

Text #4

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Data Index: 910540 (C4 (Web Text))

Max Activating Token Index: 383

Text #5

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Max Act: 0.0405. Min Act: -0.0006

Data Index: 449109 (C4 (Web Text))

Max Activating Token Index: 523

Text #6

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Text #7

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Max Activating Token Index: 228

Text #8

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Max Activating Token Index: 691

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Max Activating Token Index: 697

Text #10

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Text #12

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Text #13

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Max Activating Token Index: 333

Text #14

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Text #15

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Text #16

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Text #18

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Text #19

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Data Index: 1257833 (C4 (Web Text))

Max Activating Token Index: 283