Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 415 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0257. Min Act: -0.0003

Data Index: 51456 (C4 (Web Text))

Max Activating Token Index: 962

Text #1

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Max Act: 0.0234. Min Act: -0.0003

Data Index: 444917 (C4 (Web Text))

Max Activating Token Index: 988

Text #2

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Max Act: 0.0224. Min Act: -0.0003

Data Index: 777453 (C4 (Web Text))

Max Activating Token Index: 93

Text #3

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Max Act: 0.0217. Min Act: -0.0003

Data Index: 626181 (C4 (Web Text))

Max Activating Token Index: 882

Text #4

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 1340598 (C4 (Web Text))

Max Activating Token Index: 278

Text #5

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Max Act: 0.0215. Min Act: -0.0003

Data Index: 134336 (C4 (Web Text))

Max Activating Token Index: 851

Text #6

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Max Act: 0.0211. Min Act: -0.0003

Data Index: 322938 (C4 (Web Text))

Max Activating Token Index: 438

Text #7

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Max Act: 0.0210. Min Act: -0.0003

Data Index: 1557793 (Python Code)

Max Activating Token Index: 448

Text #8

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Data Index: 546372 (C4 (Web Text))

Max Activating Token Index: 766

Text #9

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Max Act: 0.0209. Min Act: -0.0003

Data Index: 94590 (C4 (Web Text))

Max Activating Token Index: 541

Text #10

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Data Index: 1590035 (Python Code)

Max Activating Token Index: 266

Text #11

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Data Index: 942291 (C4 (Web Text))

Max Activating Token Index: 314

Text #12

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Data Index: 889915 (C4 (Web Text))

Max Activating Token Index: 559

Text #13

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Data Index: 969921 (C4 (Web Text))

Max Activating Token Index: 125

Text #14

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Data Index: 1418817 (Python Code)

Max Activating Token Index: 359

Text #15

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Max Activating Token Index: 729

Text #16

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Max Activating Token Index: 77

Text #17

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Data Index: 993146 (C4 (Web Text))

Max Activating Token Index: 515

Text #18

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Data Index: 1633370 (Python Code)

Max Activating Token Index: 584

Text #19

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Max Act: 0.0197. Min Act: -0.0003

Data Index: 913910 (C4 (Web Text))

Max Activating Token Index: 747