Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 345 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0751. Min Act: -0.0003

Data Index: 307390 (C4 (Web Text))

Max Activating Token Index: 844

Text #1

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Data Index: 1178174 (C4 (Web Text))

Max Activating Token Index: 648

Text #2

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Max Act: 0.0702. Min Act: -0.0003

Data Index: 456853 (C4 (Web Text))

Max Activating Token Index: 343

Text #3

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Max Act: 0.0682. Min Act: -0.0003

Data Index: 256163 (C4 (Web Text))

Max Activating Token Index: 926

Text #4

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Max Activating Token Index: 196

Text #5

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Max Activating Token Index: 699

Text #6

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Data Index: 538907 (C4 (Web Text))

Max Activating Token Index: 214

Text #7

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Max Activating Token Index: 151

Text #8

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Max Activating Token Index: 947

Text #9

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Max Activating Token Index: 351

Text #10

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Max Activating Token Index: 584

Text #11

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Max Activating Token Index: 794

Text #12

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Max Activating Token Index: 613

Text #13

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Data Index: 1242654 (C4 (Web Text))

Max Activating Token Index: 258

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 981

Text #17

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Max Activating Token Index: 246

Text #18

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Max Activating Token Index: 187

Text #19

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Data Index: 1034870 (C4 (Web Text))

Max Activating Token Index: 494