Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3042 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0311. Min Act: -0.0003

Data Index: 513096 (C4 (Web Text))

Max Activating Token Index: 194

Text #1

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Max Act: 0.0294. Min Act: -0.0004

Data Index: 1289246 (C4 (Web Text))

Max Activating Token Index: 1004

Text #2

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Max Act: 0.0240. Min Act: -0.0003

Data Index: 568067 (C4 (Web Text))

Max Activating Token Index: 822

Text #3

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Max Act: 0.0233. Min Act: -0.0003

Data Index: 1275416 (C4 (Web Text))

Max Activating Token Index: 671

Text #4

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Max Act: 0.0214. Min Act: -0.0004

Data Index: 268447 (C4 (Web Text))

Max Activating Token Index: 385

Text #5

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Data Index: 1264423 (C4 (Web Text))

Max Activating Token Index: 872

Text #6

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Data Index: 553641 (C4 (Web Text))

Max Activating Token Index: 355

Text #7

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Data Index: 102176 (C4 (Web Text))

Max Activating Token Index: 856

Text #8

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Max Activating Token Index: 447

Text #9

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Max Activating Token Index: 783

Text #10

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Max Activating Token Index: 685

Text #11

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Data Index: 701285 (C4 (Web Text))

Max Activating Token Index: 783

Text #12

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Data Index: 720820 (C4 (Web Text))

Max Activating Token Index: 889

Text #13

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Max Activating Token Index: 270

Text #14

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Max Activating Token Index: 445

Text #15

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Text #16

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Max Activating Token Index: 442

Text #17

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Text #18

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Max Activating Token Index: 341

Text #19

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Data Index: 401696 (C4 (Web Text))

Max Activating Token Index: 70