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

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

Neuron 2311 in Layer 1

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

Text #0

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Max Act: 0.0249. Min Act: -0.0003

Data Index: 1057548 (C4 (Web Text))

Max Activating Token Index: 157

Text #1

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Max Act: 0.0237. Min Act: -0.0003

Data Index: 704521 (C4 (Web Text))

Max Activating Token Index: 558

Text #2

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 61993 (C4 (Web Text))

Max Activating Token Index: 689

Text #3

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 656347 (C4 (Web Text))

Max Activating Token Index: 456

Text #4

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Max Act: 0.0221. Min Act: -0.0003

Data Index: 1102796 (C4 (Web Text))

Max Activating Token Index: 820

Text #5

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Max Act: 0.0227. Min Act: -0.0003

Data Index: 930320 (C4 (Web Text))

Max Activating Token Index: 101

Text #6

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Data Index: 1038200 (C4 (Web Text))

Max Activating Token Index: 324

Text #7

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Data Index: 625545 (C4 (Web Text))

Max Activating Token Index: 727

Text #8

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Max Activating Token Index: 887

Text #9

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Data Index: 7076 (C4 (Web Text))

Max Activating Token Index: 529

Text #10

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Data Index: 451527 (C4 (Web Text))

Max Activating Token Index: 925

Text #11

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Data Index: 1289525 (C4 (Web Text))

Max Activating Token Index: 374

Text #12

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Data Index: 1099821 (C4 (Web Text))

Max Activating Token Index: 394

Text #13

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Data Index: 729140 (C4 (Web Text))

Max Activating Token Index: 282

Text #14

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Data Index: 378050 (C4 (Web Text))

Max Activating Token Index: 627

Text #15

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Data Index: 1506745 (Python Code)

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Text #16

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Data Index: 8267 (C4 (Web Text))

Max Activating Token Index: 959

Text #17

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Max Activating Token Index: 158

Text #18

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Max Activating Token Index: 853

Text #19

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 1127751 (C4 (Web Text))

Max Activating Token Index: 157