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

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

Neuron 5024 in Layer 1

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

Text #0

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Max Act: 0.0261. Min Act: -0.0002

Data Index: 166752 (C4 (Web Text))

Max Activating Token Index: 252

Text #1

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Data Index: 385421 (C4 (Web Text))

Max Activating Token Index: 444

Text #2

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Max Act: 0.0247. Min Act: -0.0003

Data Index: 45454 (C4 (Web Text))

Max Activating Token Index: 234

Text #3

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Max Act: 0.0249. Min Act: -0.0002

Data Index: 286416 (C4 (Web Text))

Max Activating Token Index: 295

Text #4

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Data Index: 1143316 (C4 (Web Text))

Max Activating Token Index: 292

Text #5

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Data Index: 212810 (C4 (Web Text))

Max Activating Token Index: 288

Text #6

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Max Activating Token Index: 116

Text #7

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Max Activating Token Index: 535

Text #8

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Data Index: 305554 (C4 (Web Text))

Max Activating Token Index: 436

Text #9

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Max Activating Token Index: 542

Text #10

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Max Activating Token Index: 307

Text #11

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Data Index: 115480 (C4 (Web Text))

Max Activating Token Index: 811

Text #12

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Max Activating Token Index: 140

Text #13

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Max Activating Token Index: 418

Text #14

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Max Activating Token Index: 168

Text #15

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Max Activating Token Index: 850

Text #16

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Max Activating Token Index: 611

Text #17

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Max Activating Token Index: 864

Text #18

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Data Index: 1004892 (C4 (Web Text))

Max Activating Token Index: 340

Text #19

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Data Index: 1265046 (C4 (Web Text))

Max Activating Token Index: 168