Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 100 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0585. Min Act: -0.0002

Data Index: 1118718 (C4 (Web Text))

Max Activating Token Index: 882

Text #1

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Max Act: 0.0606. Min Act: -0.0002

Data Index: 222231 (C4 (Web Text))

Max Activating Token Index: 932

Text #2

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Max Act: 0.0627. Min Act: -0.0002

Data Index: 1193414 (C4 (Web Text))

Max Activating Token Index: 677

Text #3

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Max Act: 0.0543. Min Act: -0.0002

Data Index: 443507 (C4 (Web Text))

Max Activating Token Index: 322

Text #4

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Max Act: 0.0545. Min Act: -0.0002

Data Index: 165031 (C4 (Web Text))

Max Activating Token Index: 627

Text #5

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Max Activating Token Index: 676

Text #6

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Max Activating Token Index: 272

Text #7

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Max Activating Token Index: 468

Text #8

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Max Activating Token Index: 475

Text #9

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Data Index: 1344816 (C4 (Web Text))

Max Activating Token Index: 236

Text #10

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Data Index: 220089 (C4 (Web Text))

Max Activating Token Index: 375

Text #11

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Max Activating Token Index: 808

Text #12

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Data Index: 770431 (C4 (Web Text))

Max Activating Token Index: 319

Text #13

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Data Index: 661553 (C4 (Web Text))

Max Activating Token Index: 221

Text #14

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Data Index: 319363 (C4 (Web Text))

Max Activating Token Index: 459

Text #15

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Max Activating Token Index: 258

Text #16

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Max Activating Token Index: 424

Text #17

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Max Activating Token Index: 507

Text #18

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Max Activating Token Index: 335

Text #19

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Max Act: 0.0522. Min Act: -0.0002

Data Index: 333530 (C4 (Web Text))

Max Activating Token Index: 230