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

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

Neuron 55 in Layer 1

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

Text #0

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Data Index: 89902 (C4 (Web Text))

Max Activating Token Index: 784

Text #1

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Data Index: 1456171 (Python Code)

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Text #2

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Max Act: 0.0277. Min Act: -0.0006

Data Index: 264110 (C4 (Web Text))

Max Activating Token Index: 505

Text #3

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 1311830 (C4 (Web Text))

Max Activating Token Index: 489

Text #4

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Max Activating Token Index: 755

Text #5

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Max Activating Token Index: 790

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: 786

Text #10

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 753

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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Text #19

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Data Index: 1352894 (C4 (Web Text))

Max Activating Token Index: 553