Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1432 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0270. Min Act: -0.0005

Data Index: 958130 (C4 (Web Text))

Max Activating Token Index: 157

Text #1

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Max Act: 0.0249. Min Act: -0.0005

Data Index: 1220318 (C4 (Web Text))

Max Activating Token Index: 554

Text #2

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 324026 (C4 (Web Text))

Max Activating Token Index: 9

Text #3

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Max Act: 0.0250. Min Act: -0.0005

Data Index: 336726 (C4 (Web Text))

Max Activating Token Index: 395

Text #4

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Data Index: 593139 (C4 (Web Text))

Max Activating Token Index: 514

Text #5

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Data Index: 882836 (C4 (Web Text))

Max Activating Token Index: 593

Text #6

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Data Index: 538187 (C4 (Web Text))

Max Activating Token Index: 812

Text #7

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Max Activating Token Index: 283

Text #8

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Max Activating Token Index: 884

Text #9

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Data Index: 608793 (C4 (Web Text))

Max Activating Token Index: 406

Text #10

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Data Index: 996117 (C4 (Web Text))

Max Activating Token Index: 677

Text #11

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Data Index: 1232143 (C4 (Web Text))

Max Activating Token Index: 574

Text #12

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Max Activating Token Index: 36

Text #13

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Max Activating Token Index: 840

Text #14

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Max Activating Token Index: 79

Text #15

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Max Activating Token Index: 833

Text #16

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Max Activating Token Index: 100

Text #17

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Max Activating Token Index: 451

Text #18

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Data Index: 428472 (C4 (Web Text))

Max Activating Token Index: 391

Text #19

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Data Index: 1349302 (C4 (Web Text))

Max Activating Token Index: 160