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

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

Neuron 1961 in Layer 1

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

Text #0

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Max Act: 0.0905. Min Act: -0.0002

Data Index: 1097983 (C4 (Web Text))

Max Activating Token Index: 128

Text #1

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Max Act: 0.0879. Min Act: -0.0003

Data Index: 830841 (C4 (Web Text))

Max Activating Token Index: 381

Text #2

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Max Act: 0.0891. Min Act: -0.0003

Data Index: 247859 (C4 (Web Text))

Max Activating Token Index: 446

Text #3

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Max Act: 0.0812. Min Act: -0.0003

Data Index: 472525 (C4 (Web Text))

Max Activating Token Index: 990

Text #4

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Max Act: 0.0818. Min Act: -0.0004

Data Index: 241313 (C4 (Web Text))

Max Activating Token Index: 256

Text #5

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Max Activating Token Index: 855

Text #6

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Max Activating Token Index: 357

Text #7

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Max Activating Token Index: 666

Text #8

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Max Activating Token Index: 930

Text #9

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Max Activating Token Index: 102

Text #10

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Data Index: 502591 (C4 (Web Text))

Max Activating Token Index: 660

Text #11

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Max Activating Token Index: 360

Text #12

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Max Activating Token Index: 153

Text #13

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Max Activating Token Index: 97

Text #14

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Max Activating Token Index: 1019

Text #15

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Text #16

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Max Activating Token Index: 474

Text #17

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Max Activating Token Index: 349

Text #18

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Data Index: 197527 (C4 (Web Text))

Max Activating Token Index: 317

Text #19

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Data Index: 696821 (C4 (Web Text))

Max Activating Token Index: 851