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

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

Neuron 1312 in Layer 0

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

Text #0

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Max Act: 0.0172. Min Act: -0.0004

Data Index: 483826 (C4 (Web Text))

Max Activating Token Index: 335

Text #1

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Data Index: 305266 (C4 (Web Text))

Max Activating Token Index: 494

Text #2

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Data Index: 86473 (C4 (Web Text))

Max Activating Token Index: 897

Text #3

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Max Act: 0.0161. Min Act: -0.0005

Data Index: 55244 (C4 (Web Text))

Max Activating Token Index: 767

Text #4

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Data Index: 497849 (C4 (Web Text))

Max Activating Token Index: 859

Text #5

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Data Index: 639175 (C4 (Web Text))

Max Activating Token Index: 701

Text #6

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Data Index: 1239440 (C4 (Web Text))

Max Activating Token Index: 705

Text #7

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Max Activating Token Index: 654

Text #8

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Max Activating Token Index: 739

Text #9

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Data Index: 201617 (C4 (Web Text))

Max Activating Token Index: 450

Text #10

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Data Index: 1058374 (C4 (Web Text))

Max Activating Token Index: 855

Text #11

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Data Index: 338646 (C4 (Web Text))

Max Activating Token Index: 980

Text #12

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Max Activating Token Index: 56

Text #13

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Data Index: 1314884 (C4 (Web Text))

Max Activating Token Index: 378

Text #14

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Max Activating Token Index: 943

Text #15

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Max Activating Token Index: 882

Text #16

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Max Activating Token Index: 509

Text #17

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Max Activating Token Index: 349

Text #18

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Data Index: 543549 (C4 (Web Text))

Max Activating Token Index: 296

Text #19

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Data Index: 586568 (C4 (Web Text))

Max Activating Token Index: 621