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

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

Neuron 384 in Layer 1

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

Text #0

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 465935 (C4 (Web Text))

Max Activating Token Index: 235

Text #1

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Data Index: 1276040 (C4 (Web Text))

Max Activating Token Index: 975

Text #2

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Max Act: 0.0371. Min Act: -0.0003

Data Index: 436665 (C4 (Web Text))

Max Activating Token Index: 195

Text #3

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Max Act: 0.0329. Min Act: -0.0003

Data Index: 408109 (C4 (Web Text))

Max Activating Token Index: 985

Text #4

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Max Act: 0.0313. Min Act: -0.0003

Data Index: 664801 (C4 (Web Text))

Max Activating Token Index: 447

Text #5

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Max Act: 0.0311. Min Act: -0.0003

Data Index: 30195 (C4 (Web Text))

Max Activating Token Index: 586

Text #6

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Data Index: 269063 (C4 (Web Text))

Max Activating Token Index: 166

Text #7

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Max Activating Token Index: 744

Text #8

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Data Index: 565662 (C4 (Web Text))

Max Activating Token Index: 804

Text #9

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Max Activating Token Index: 319

Text #10

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Data Index: 54571 (C4 (Web Text))

Max Activating Token Index: 288

Text #11

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Max Activating Token Index: 333

Text #12

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Max Activating Token Index: 177

Text #13

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Data Index: 1084794 (C4 (Web Text))

Max Activating Token Index: 491

Text #14

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Max Activating Token Index: 916

Text #15

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Text #16

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Max Activating Token Index: 157

Text #17

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Max Activating Token Index: 152

Text #18

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Max Activating Token Index: 940

Text #19

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Data Index: 769123 (C4 (Web Text))

Max Activating Token Index: 561