Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2838 in Layer 7

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.2016. Min Act: -0.0000

Data Index: 1620546 (Python Code)

Max Activating Token Index: 527

Text #1

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1700. Min Act: -0.0000

Data Index: 1619810 (Python Code)

Max Activating Token Index: 679

Text #2

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1720. Min Act: -0.0000

Data Index: 1586515 (Python Code)

Max Activating Token Index: 307

Text #3

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1641. Min Act: -0.0000

Data Index: 1603497 (Python Code)

Max Activating Token Index: 286

Text #4

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1679. Min Act: -0.0000

Data Index: 1570231 (Python Code)

Max Activating Token Index: 781

Text #5

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1605. Min Act: -0.0000

Data Index: 1594857 (Python Code)

Max Activating Token Index: 514

Text #6

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1594. Min Act: -0.0000

Data Index: 1469565 (Python Code)

Max Activating Token Index: 515

Text #7

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1566. Min Act: -0.0000

Data Index: 1564068 (Python Code)

Max Activating Token Index: 631

Text #8

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1671. Min Act: -0.0000

Data Index: 1630743 (Python Code)

Max Activating Token Index: 576

Text #9

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1498. Min Act: -0.0000

Data Index: 1507653 (Python Code)

Max Activating Token Index: 835

Text #10

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1469. Min Act: -0.0000

Data Index: 1459695 (Python Code)

Max Activating Token Index: 683

Text #11

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1508. Min Act: -0.0000

Data Index: 1384973 (Python Code)

Max Activating Token Index: 76

Text #12

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1547. Min Act: -0.0000

Data Index: 1449506 (Python Code)

Max Activating Token Index: 82

Text #13

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1529. Min Act: -0.0000

Data Index: 1541210 (Python Code)

Max Activating Token Index: 547

Text #14

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1413. Min Act: -0.0000

Data Index: 1470081 (Python Code)

Max Activating Token Index: 926

Text #15

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1370. Min Act: -0.0000

Data Index: 1558210 (Python Code)

Max Activating Token Index: 737

Text #16

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1413. Min Act: -0.0000

Data Index: 1473119 (Python Code)

Max Activating Token Index: 733

Text #17

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1468. Min Act: -0.0000

Data Index: 1526547 (Python Code)

Max Activating Token Index: 749

Text #18

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1411. Min Act: -0.0000

Data Index: 1360887 (Python Code)

Max Activating Token Index: 367

Text #19

Max Range: 0.2016. Min Range: -0.2016

Max Act: 0.1417. Min Act: -0.0000

Data Index: 1433839 (Python Code)

Max Activating Token Index: 974