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

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

Neuron 1734 in Layer 0

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

Text #0

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Max Act: 0.0401. Min Act: -0.0004

Data Index: 854975 (C4 (Web Text))

Max Activating Token Index: 124

Text #1

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Max Act: 0.0368. Min Act: -0.0005

Data Index: 431712 (C4 (Web Text))

Max Activating Token Index: 969

Text #2

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Max Act: 0.0365. Min Act: -0.0004

Data Index: 271784 (C4 (Web Text))

Max Activating Token Index: 973

Text #3

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Max Act: 0.0363. Min Act: -0.0004

Data Index: 1097869 (C4 (Web Text))

Max Activating Token Index: 241

Text #4

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Max Act: 0.0361. Min Act: -0.0004

Data Index: 844848 (C4 (Web Text))

Max Activating Token Index: 601

Text #5

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Max Act: 0.0355. Min Act: -0.0004

Data Index: 341965 (C4 (Web Text))

Max Activating Token Index: 150

Text #6

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Max Act: 0.0355. Min Act: -0.0004

Data Index: 1328969 (C4 (Web Text))

Max Activating Token Index: 91

Text #7

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Data Index: 173407 (C4 (Web Text))

Max Activating Token Index: 1003

Text #8

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Max Activating Token Index: 584

Text #9

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Max Act: 0.0350. Min Act: -0.0004

Data Index: 331773 (C4 (Web Text))

Max Activating Token Index: 181

Text #10

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Data Index: 1267210 (C4 (Web Text))

Max Activating Token Index: 709

Text #11

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Data Index: 802585 (C4 (Web Text))

Max Activating Token Index: 942

Text #12

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Max Activating Token Index: 761

Text #13

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Data Index: 379857 (C4 (Web Text))

Max Activating Token Index: 841

Text #14

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Max Activating Token Index: 822

Text #15

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Max Activating Token Index: 98

Text #16

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Max Activating Token Index: 297

Text #17

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Max Activating Token Index: 90

Text #18

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Data Index: 274739 (C4 (Web Text))

Max Activating Token Index: 892

Text #19

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Data Index: 838996 (C4 (Web Text))

Max Activating Token Index: 545