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

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

Neuron 1087 in Layer 2

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

Text #0

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Max Act: 0.1332. Min Act: -0.0003

Data Index: 158434 (C4 (Web Text))

Max Activating Token Index: 502

Text #1

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Max Act: 0.1200. Min Act: -0.0003

Data Index: 77328 (C4 (Web Text))

Max Activating Token Index: 651

Text #2

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Max Act: 0.1273. Min Act: -0.0003

Data Index: 600912 (C4 (Web Text))

Max Activating Token Index: 691

Text #3

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Max Act: 0.1201. Min Act: -0.0003

Data Index: 543967 (C4 (Web Text))

Max Activating Token Index: 290

Text #4

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Max Act: 0.1144. Min Act: -0.0003

Data Index: 323284 (C4 (Web Text))

Max Activating Token Index: 528

Text #5

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Max Activating Token Index: 757

Text #6

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Max Activating Token Index: 791

Text #7

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Max Activating Token Index: 399

Text #8

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Max Activating Token Index: 818

Text #9

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Max Activating Token Index: 48

Text #10

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Data Index: 1105039 (C4 (Web Text))

Max Activating Token Index: 882

Text #11

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Data Index: 267554 (C4 (Web Text))

Max Activating Token Index: 841

Text #12

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Data Index: 1074035 (C4 (Web Text))

Max Activating Token Index: 444

Text #13

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Data Index: 654578 (C4 (Web Text))

Max Activating Token Index: 146

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 351

Text #17

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Max Activating Token Index: 938

Text #18

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Data Index: 57024 (C4 (Web Text))

Max Activating Token Index: 618

Text #19

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Data Index: 731190 (C4 (Web Text))

Max Activating Token Index: 11