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

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

Neuron 1989 in Layer 0

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

Text #0

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 672563 (C4 (Web Text))

Max Activating Token Index: 268

Text #1

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Data Index: 1035851 (C4 (Web Text))

Max Activating Token Index: 492

Text #2

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Max Act: 0.0246. Min Act: -0.0002

Data Index: 726244 (C4 (Web Text))

Max Activating Token Index: 162

Text #3

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Max Act: 0.0245. Min Act: -0.0002

Data Index: 1161603 (C4 (Web Text))

Max Activating Token Index: 192

Text #4

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Data Index: 321779 (C4 (Web Text))

Max Activating Token Index: 226

Text #5

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Data Index: 221933 (C4 (Web Text))

Max Activating Token Index: 300

Text #6

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Max Activating Token Index: 478

Text #7

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Max Activating Token Index: 370

Text #8

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Max Activating Token Index: 338

Text #9

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Max Activating Token Index: 348

Text #10

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Max Activating Token Index: 565

Text #11

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Max Activating Token Index: 133

Text #12

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Max Activating Token Index: 96

Text #13

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Max Activating Token Index: 207

Text #14

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Max Activating Token Index: 599

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 313

Text #18

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Max Activating Token Index: 147

Text #19

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Data Index: 155015 (C4 (Web Text))

Max Activating Token Index: 343