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

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

Neuron 888 in Layer 0

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

Text #0

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Max Act: 0.0212. Min Act: -0.0005

Data Index: 618949 (C4 (Web Text))

Max Activating Token Index: 808

Text #1

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Max Activating Token Index: 905

Text #2

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Max Activating Token Index: 762

Text #3

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Max Act: 0.0200. Min Act: -0.0006

Data Index: 660780 (C4 (Web Text))

Max Activating Token Index: 901

Text #4

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Max Activating Token Index: 280

Text #5

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Max Activating Token Index: 449

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 369

Text #10

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Max Activating Token Index: 280

Text #11

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Text #12

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Max Activating Token Index: 188

Text #13

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Max Activating Token Index: 738

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: 376

Text #19

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Data Index: 820153 (C4 (Web Text))

Max Activating Token Index: 651