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

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

Neuron 902 in Layer 0

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

Text #0

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Data Index: 25738 (C4 (Web Text))

Max Activating Token Index: 80

Text #1

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 4331 (C4 (Web Text))

Max Activating Token Index: 647

Text #2

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Max Act: 0.0123. Min Act: -0.0005

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Max Activating Token Index: 641

Text #3

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Max Activating Token Index: 870

Text #4

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Data Index: 15078 (C4 (Web Text))

Max Activating Token Index: 982

Text #5

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Max Activating Token Index: 380

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 570

Text #9

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Max Activating Token Index: 850

Text #10

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Max Activating Token Index: 432

Text #11

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Max Activating Token Index: 712

Text #12

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Max Activating Token Index: 673

Text #13

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Max Activating Token Index: 727

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: 120910 (C4 (Web Text))

Max Activating Token Index: 194