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

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

Neuron 4985 in Layer 2

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

Text #0

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Max Act: 0.0245. Min Act: -0.0002

Data Index: 1528034 (Python Code)

Max Activating Token Index: 738

Text #1

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 755444 (C4 (Web Text))

Max Activating Token Index: 221

Text #2

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Max Act: 0.0252. Min Act: -0.0002

Data Index: 1536935 (Python Code)

Max Activating Token Index: 868

Text #3

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Max Act: 0.0234. Min Act: -0.0002

Data Index: 881303 (C4 (Web Text))

Max Activating Token Index: 313

Text #4

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Max Act: 0.0242. Min Act: -0.0002

Data Index: 1191646 (C4 (Web Text))

Max Activating Token Index: 406

Text #5

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Max Act: 0.0231. Min Act: -0.0002

Data Index: 1149452 (C4 (Web Text))

Max Activating Token Index: 403

Text #6

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Data Index: 727354 (C4 (Web Text))

Max Activating Token Index: 227

Text #7

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Max Activating Token Index: 423

Text #8

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Max Activating Token Index: 496

Text #9

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Text #10

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Max Activating Token Index: 578

Text #11

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Data Index: 774486 (C4 (Web Text))

Max Activating Token Index: 211

Text #12

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Data Index: 1003289 (C4 (Web Text))

Max Activating Token Index: 501

Text #13

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Data Index: 1056040 (C4 (Web Text))

Max Activating Token Index: 880

Text #14

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Data Index: 793843 (C4 (Web Text))

Max Activating Token Index: 239

Text #15

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Text #16

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Max Activating Token Index: 504

Text #17

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Max Activating Token Index: 684

Text #18

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Data Index: 928559 (C4 (Web Text))

Max Activating Token Index: 471

Text #19

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Max Act: 0.0239. Min Act: -0.0002

Data Index: 1004939 (C4 (Web Text))

Max Activating Token Index: 307