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

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

Neuron 159 in Layer 1

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

Text #0

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Max Act: 0.0339. Min Act: -0.0003

Data Index: 919280 (C4 (Web Text))

Max Activating Token Index: 94

Text #1

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Max Act: 0.0327. Min Act: -0.0003

Data Index: 405188 (C4 (Web Text))

Max Activating Token Index: 570

Text #2

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Max Act: 0.0290. Min Act: -0.0003

Data Index: 1066306 (C4 (Web Text))

Max Activating Token Index: 372

Text #3

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 674536 (C4 (Web Text))

Max Activating Token Index: 930

Text #4

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Max Act: 0.0249. Min Act: -0.0003

Data Index: 867578 (C4 (Web Text))

Max Activating Token Index: 841

Text #5

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Max Act: 0.0240. Min Act: -0.0003

Data Index: 241986 (C4 (Web Text))

Max Activating Token Index: 201

Text #6

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Data Index: 374659 (C4 (Web Text))

Max Activating Token Index: 238

Text #7

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Max Activating Token Index: 238

Text #8

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Data Index: 590289 (C4 (Web Text))

Max Activating Token Index: 246

Text #9

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Text #10

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Max Activating Token Index: 753

Text #11

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Max Activating Token Index: 384

Text #12

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Max Activating Token Index: 382

Text #13

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Data Index: 721140 (C4 (Web Text))

Max Activating Token Index: 76

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1468548 (Python Code)

Max Activating Token Index: 39

Text #18

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Data Index: 437372 (C4 (Web Text))

Max Activating Token Index: 46

Text #19

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Data Index: 1181289 (C4 (Web Text))

Max Activating Token Index: 248