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

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

Neuron 1933 in Layer 0

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

Text #0

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 783369 (C4 (Web Text))

Max Activating Token Index: 75

Text #1

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Data Index: 398090 (C4 (Web Text))

Max Activating Token Index: 283

Text #2

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Max Activating Token Index: 314

Text #3

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Data Index: 92491 (C4 (Web Text))

Max Activating Token Index: 721

Text #4

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Max Activating Token Index: 130

Text #5

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Max Activating Token Index: 268

Text #6

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Text #7

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Max Activating Token Index: 282

Text #8

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Text #9

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Max Activating Token Index: 144

Text #10

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Max Activating Token Index: 483

Text #11

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Text #12

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Text #13

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Max Activating Token Index: 486

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 154

Text #18

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Max Activating Token Index: 721

Text #19

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Data Index: 1164326 (C4 (Web Text))

Max Activating Token Index: 729