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

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

Neuron 324 in Layer 0

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

Text #0

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Max Act: 0.0294. Min Act: -0.0004

Data Index: 456004 (C4 (Web Text))

Max Activating Token Index: 849

Text #1

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Data Index: 269311 (C4 (Web Text))

Max Activating Token Index: 393

Text #2

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Data Index: 1185426 (C4 (Web Text))

Max Activating Token Index: 416

Text #3

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Data Index: 708310 (C4 (Web Text))

Max Activating Token Index: 639

Text #4

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Data Index: 1332689 (C4 (Web Text))

Max Activating Token Index: 284

Text #5

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Max Activating Token Index: 645

Text #6

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Max Activating Token Index: 320

Text #7

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Max Activating Token Index: 290

Text #8

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Max Activating Token Index: 424

Text #9

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Max Activating Token Index: 356

Text #10

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Max Activating Token Index: 593

Text #11

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Max Activating Token Index: 178

Text #12

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Max Activating Token Index: 381

Text #13

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Max Activating Token Index: 734

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 586

Text #18

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Max Activating Token Index: 655

Text #19

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Data Index: 1151168 (C4 (Web Text))

Max Activating Token Index: 607