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

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

Neuron 2979 in Layer 2

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

Text #0

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 1062510 (C4 (Web Text))

Max Activating Token Index: 705

Text #1

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Data Index: 379909 (C4 (Web Text))

Max Activating Token Index: 59

Text #2

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Data Index: 669497 (C4 (Web Text))

Max Activating Token Index: 651

Text #3

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Data Index: 1268228 (C4 (Web Text))

Max Activating Token Index: 321

Text #4

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Data Index: 927929 (C4 (Web Text))

Max Activating Token Index: 353

Text #5

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Data Index: 786511 (C4 (Web Text))

Max Activating Token Index: 473

Text #6

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Data Index: 629948 (C4 (Web Text))

Max Activating Token Index: 878

Text #7

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Max Activating Token Index: 163

Text #8

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Max Activating Token Index: 627

Text #9

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Data Index: 457854 (C4 (Web Text))

Max Activating Token Index: 562

Text #10

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Data Index: 241970 (C4 (Web Text))

Max Activating Token Index: 270

Text #11

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Data Index: 508981 (C4 (Web Text))

Max Activating Token Index: 250

Text #12

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Max Activating Token Index: 800

Text #13

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Max Activating Token Index: 252

Text #14

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Data Index: 314917 (C4 (Web Text))

Max Activating Token Index: 1000

Text #15

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Data Index: 1573347 (Python Code)

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Text #16

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Max Activating Token Index: 193

Text #17

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Max Activating Token Index: 489

Text #18

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Data Index: 153871 (C4 (Web Text))

Max Activating Token Index: 780

Text #19

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Data Index: 803517 (C4 (Web Text))

Max Activating Token Index: 915