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

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

Neuron 1712 in Layer 1

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

Text #0

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Max Act: 0.0140. Min Act: -0.0003

Data Index: 1092164 (C4 (Web Text))

Max Activating Token Index: 691

Text #1

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Max Act: 0.0141. Min Act: -0.0003

Data Index: 1221134 (C4 (Web Text))

Max Activating Token Index: 126

Text #2

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Max Act: 0.0112. Min Act: -0.0003

Data Index: 659274 (C4 (Web Text))

Max Activating Token Index: 142

Text #3

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Max Act: 0.0110. Min Act: -0.0003

Data Index: 1094799 (C4 (Web Text))

Max Activating Token Index: 623

Text #4

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Max Act: 0.0113. Min Act: -0.0003

Data Index: 358167 (C4 (Web Text))

Max Activating Token Index: 790

Text #5

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Max Act: 0.0109. Min Act: -0.0003

Data Index: 1335002 (C4 (Web Text))

Max Activating Token Index: 767

Text #6

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Data Index: 500761 (C4 (Web Text))

Max Activating Token Index: 117

Text #7

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Data Index: 605352 (C4 (Web Text))

Max Activating Token Index: 316

Text #8

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Data Index: 1072607 (C4 (Web Text))

Max Activating Token Index: 287

Text #9

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Data Index: 687703 (C4 (Web Text))

Max Activating Token Index: 433

Text #10

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Max Activating Token Index: 283

Text #11

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Max Activating Token Index: 131

Text #12

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Max Activating Token Index: 369

Text #13

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Data Index: 1605338 (Python Code)

Max Activating Token Index: 897

Text #14

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Data Index: 1586260 (Python Code)

Max Activating Token Index: 234

Text #15

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Data Index: 873552 (C4 (Web Text))

Max Activating Token Index: 238

Text #16

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Data Index: 1531840 (Python Code)

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Text #17

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Max Activating Token Index: 761

Text #18

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Data Index: 1582492 (Python Code)

Max Activating Token Index: 679

Text #19

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Max Act: 0.0099. Min Act: -0.0003

Data Index: 1021412 (C4 (Web Text))

Max Activating Token Index: 781