Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1736 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 1545198 (Python Code)

Max Activating Token Index: 676

Text #1

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Max Act: 0.0289. Min Act: -0.0003

Data Index: 1542649 (Python Code)

Max Activating Token Index: 362

Text #2

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Max Act: 0.0287. Min Act: -0.0004

Data Index: 1358070 (C4 (Web Text))

Max Activating Token Index: 506

Text #3

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Max Act: 0.0280. Min Act: -0.0003

Data Index: 1537492 (Python Code)

Max Activating Token Index: 593

Text #4

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Max Act: 0.0268. Min Act: -0.0003

Data Index: 1542741 (Python Code)

Max Activating Token Index: 961

Text #5

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 1539656 (Python Code)

Max Activating Token Index: 722

Text #6

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Data Index: 1564360 (Python Code)

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Text #7

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Data Index: 323206 (C4 (Web Text))

Max Activating Token Index: 232

Text #8

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Data Index: 1553448 (Python Code)

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Text #9

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Data Index: 206872 (C4 (Web Text))

Max Activating Token Index: 706

Text #10

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Data Index: 1398407 (Python Code)

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Data Index: 1541037 (Python Code)

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Text #12

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Data Index: 1598052 (Python Code)

Max Activating Token Index: 325

Text #13

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Data Index: 1547726 (Python Code)

Max Activating Token Index: 793

Text #14

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Data Index: 567700 (C4 (Web Text))

Max Activating Token Index: 580

Text #15

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Text #16

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Data Index: 1483607 (Python Code)

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Text #17

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Data Index: 1608544 (Python Code)

Max Activating Token Index: 573

Text #18

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Data Index: 1629824 (Python Code)

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Text #19

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Data Index: 1580443 (Python Code)

Max Activating Token Index: 460