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

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

Neuron 2065 in Layer 1

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

Text #0

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 1051305 (C4 (Web Text))

Max Activating Token Index: 167

Text #1

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Max Act: 0.0150. Min Act: -0.0003

Data Index: 1305865 (C4 (Web Text))

Max Activating Token Index: 152

Text #2

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Max Act: 0.0145. Min Act: -0.0003

Data Index: 984161 (C4 (Web Text))

Max Activating Token Index: 227

Text #3

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Max Act: 0.0135. Min Act: -0.0003

Data Index: 946006 (C4 (Web Text))

Max Activating Token Index: 558

Text #4

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Max Act: 0.0126. Min Act: -0.0003

Data Index: 1223061 (C4 (Web Text))

Max Activating Token Index: 770

Text #5

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Max Act: 0.0131. Min Act: -0.0003

Data Index: 531318 (C4 (Web Text))

Max Activating Token Index: 253

Text #6

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Max Act: 0.0133. Min Act: -0.0003

Data Index: 21581 (C4 (Web Text))

Max Activating Token Index: 748

Text #7

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Data Index: 138740 (C4 (Web Text))

Max Activating Token Index: 316

Text #8

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Max Activating Token Index: 719

Text #9

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Max Activating Token Index: 351

Text #10

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Data Index: 498781 (C4 (Web Text))

Max Activating Token Index: 948

Text #11

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Data Index: 246031 (C4 (Web Text))

Max Activating Token Index: 293

Text #12

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Data Index: 381356 (C4 (Web Text))

Max Activating Token Index: 272

Text #13

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Max Activating Token Index: 131

Text #14

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Data Index: 259260 (C4 (Web Text))

Max Activating Token Index: 14

Text #15

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Max Activating Token Index: 689

Text #16

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Max Activating Token Index: 465

Text #17

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Max Activating Token Index: 84

Text #18

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Max Activating Token Index: 352

Text #19

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Data Index: 1033993 (C4 (Web Text))

Max Activating Token Index: 671