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

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

Neuron 1006 in Layer 2

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

Text #0

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Max Act: 0.0379. Min Act: -0.0005

Data Index: 960089 (C4 (Web Text))

Max Activating Token Index: 512

Text #1

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Max Act: 0.0378. Min Act: -0.0005

Data Index: 600550 (C4 (Web Text))

Max Activating Token Index: 610

Text #2

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Max Act: 0.0368. Min Act: -0.0005

Data Index: 1183362 (C4 (Web Text))

Max Activating Token Index: 1006

Text #3

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Max Act: 0.0376. Min Act: -0.0005

Data Index: 451374 (C4 (Web Text))

Max Activating Token Index: 379

Text #4

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Max Act: 0.0348. Min Act: -0.0005

Data Index: 625654 (C4 (Web Text))

Max Activating Token Index: 336

Text #5

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Max Act: 0.0360. Min Act: -0.0005

Data Index: 1285760 (C4 (Web Text))

Max Activating Token Index: 80

Text #6

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Data Index: 1108865 (C4 (Web Text))

Max Activating Token Index: 337

Text #7

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Max Activating Token Index: 188

Text #8

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Max Activating Token Index: 397

Text #9

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Data Index: 1170595 (C4 (Web Text))

Max Activating Token Index: 462

Text #10

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Data Index: 254102 (C4 (Web Text))

Max Activating Token Index: 367

Text #11

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Max Activating Token Index: 527

Text #12

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Max Activating Token Index: 520

Text #13

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Max Activating Token Index: 658

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 829

Text #17

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Data Index: 515572 (C4 (Web Text))

Max Activating Token Index: 210

Text #18

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Data Index: 1157561 (C4 (Web Text))

Max Activating Token Index: 168

Text #19

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Data Index: 1346290 (C4 (Web Text))

Max Activating Token Index: 544