Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3986 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0757. Min Act: -0.0002

Data Index: 1315177 (C4 (Web Text))

Max Activating Token Index: 290

Text #1

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Data Index: 162134 (C4 (Web Text))

Max Activating Token Index: 253

Text #2

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Max Act: 0.0575. Min Act: -0.0003

Data Index: 287930 (C4 (Web Text))

Max Activating Token Index: 763

Text #3

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 666809 (C4 (Web Text))

Max Activating Token Index: 814

Text #4

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Data Index: 1088517 (C4 (Web Text))

Max Activating Token Index: 867

Text #5

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Max Activating Token Index: 38

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: 512

Text #10

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Max Activating Token Index: 351

Text #11

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Max Activating Token Index: 505

Text #12

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Max Activating Token Index: 322

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: 293

Text #19

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Data Index: 1043313 (C4 (Web Text))

Max Activating Token Index: 672