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

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

Neuron 2999 in Layer 2

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

Text #0

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 321361 (C4 (Web Text))

Max Activating Token Index: 529

Text #1

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Max Act: 0.0408. Min Act: -0.0002

Data Index: 113559 (C4 (Web Text))

Max Activating Token Index: 154

Text #2

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Max Act: 0.0398. Min Act: -0.0002

Data Index: 401231 (C4 (Web Text))

Max Activating Token Index: 51

Text #3

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Max Act: 0.0398. Min Act: -0.0002

Data Index: 380371 (C4 (Web Text))

Max Activating Token Index: 854

Text #4

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Max Act: 0.0390. Min Act: -0.0002

Data Index: 1319541 (C4 (Web Text))

Max Activating Token Index: 961

Text #5

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Max Act: 0.0366. Min Act: -0.0002

Data Index: 264610 (C4 (Web Text))

Max Activating Token Index: 314

Text #6

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Max Activating Token Index: 753

Text #7

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Max Activating Token Index: 717

Text #8

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Max Activating Token Index: 633

Text #9

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Data Index: 586399 (C4 (Web Text))

Max Activating Token Index: 331

Text #10

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Data Index: 624598 (C4 (Web Text))

Max Activating Token Index: 335

Text #11

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Max Activating Token Index: 495

Text #12

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Max Activating Token Index: 566

Text #13

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Data Index: 771606 (C4 (Web Text))

Max Activating Token Index: 435

Text #14

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Data Index: 777752 (C4 (Web Text))

Max Activating Token Index: 184

Text #15

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Max Activating Token Index: 892

Text #16

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Max Activating Token Index: 219

Text #17

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Max Activating Token Index: 187

Text #18

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Data Index: 889532 (C4 (Web Text))

Max Activating Token Index: 66

Text #19

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Data Index: 970871 (C4 (Web Text))

Max Activating Token Index: 868