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

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

Neuron 212 in Layer 1

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

Text #0

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Max Act: 0.0684. Min Act: -0.0003

Data Index: 640858 (C4 (Web Text))

Max Activating Token Index: 559

Text #1

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Max Act: 0.0649. Min Act: -0.0002

Data Index: 245011 (C4 (Web Text))

Max Activating Token Index: 199

Text #2

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Max Act: 0.0577. Min Act: -0.0003

Data Index: 818551 (C4 (Web Text))

Max Activating Token Index: 387

Text #3

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Max Act: 0.0593. Min Act: -0.0003

Data Index: 3098 (C4 (Web Text))

Max Activating Token Index: 218

Text #4

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Max Act: 0.0589. Min Act: -0.0003

Data Index: 236644 (C4 (Web Text))

Max Activating Token Index: 704

Text #5

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Max Act: 0.0557. Min Act: -0.0003

Data Index: 1219271 (C4 (Web Text))

Max Activating Token Index: 539

Text #6

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Max Act: 0.0556. Min Act: -0.0003

Data Index: 773092 (C4 (Web Text))

Max Activating Token Index: 347

Text #7

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Data Index: 226290 (C4 (Web Text))

Max Activating Token Index: 946

Text #8

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Data Index: 981245 (C4 (Web Text))

Max Activating Token Index: 151

Text #9

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Max Act: 0.0555. Min Act: -0.0003

Data Index: 1192590 (C4 (Web Text))

Max Activating Token Index: 624

Text #10

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Data Index: 865032 (C4 (Web Text))

Max Activating Token Index: 98

Text #11

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Data Index: 944916 (C4 (Web Text))

Max Activating Token Index: 186

Text #12

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Data Index: 387961 (C4 (Web Text))

Max Activating Token Index: 241

Text #13

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Data Index: 961685 (C4 (Web Text))

Max Activating Token Index: 430

Text #14

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Max Activating Token Index: 144

Text #15

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Text #16

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Max Activating Token Index: 98

Text #17

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Data Index: 459516 (C4 (Web Text))

Max Activating Token Index: 334

Text #18

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Max Act: 0.0500. Min Act: -0.0003

Data Index: 732463 (C4 (Web Text))

Max Activating Token Index: 98

Text #19

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Max Act: 0.0487. Min Act: -0.0004

Data Index: 506130 (C4 (Web Text))

Max Activating Token Index: 60