Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 210 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1994. Min Act: -0.0002

Data Index: 1533364 (Python Code)

Max Activating Token Index: 209

Text #1

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1814. Min Act: -0.0002

Data Index: 1580884 (Python Code)

Max Activating Token Index: 878

Text #2

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1828. Min Act: -0.0002

Data Index: 1649364 (Python Code)

Max Activating Token Index: 759

Text #3

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1870. Min Act: -0.0002

Data Index: 1384449 (Python Code)

Max Activating Token Index: 635

Text #4

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1821. Min Act: -0.0002

Data Index: 1552794 (Python Code)

Max Activating Token Index: 16

Text #5

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1852. Min Act: -0.0002

Data Index: 1513881 (Python Code)

Max Activating Token Index: 917

Text #6

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1725. Min Act: -0.0002

Data Index: 1403702 (Python Code)

Max Activating Token Index: 313

Text #7

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1733. Min Act: -0.0002

Data Index: 1557245 (Python Code)

Max Activating Token Index: 314

Text #8

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1693. Min Act: -0.0002

Data Index: 1013452 (C4 (Web Text))

Max Activating Token Index: 238

Text #9

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1737. Min Act: -0.0002

Data Index: 1414848 (Python Code)

Max Activating Token Index: 672

Text #10

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Max Act: 0.1678. Min Act: -0.0002

Data Index: 1640772 (Python Code)

Max Activating Token Index: 402

Text #11

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1784. Min Act: -0.0002

Data Index: 1378163 (Python Code)

Max Activating Token Index: 931

Text #12

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Max Act: 0.1731. Min Act: -0.0002

Data Index: 1637022 (Python Code)

Max Activating Token Index: 281

Text #13

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1469. Min Act: -0.0002

Data Index: 1428637 (Python Code)

Max Activating Token Index: 807

Text #14

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1653. Min Act: -0.0002

Data Index: 1464912 (Python Code)

Max Activating Token Index: 597

Text #15

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1543. Min Act: -0.0002

Data Index: 1399779 (Python Code)

Max Activating Token Index: 558

Text #16

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1604. Min Act: -0.0002

Data Index: 1258162 (C4 (Web Text))

Max Activating Token Index: 57

Text #17

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1684. Min Act: -0.0002

Data Index: 1458722 (Python Code)

Max Activating Token Index: 236

Text #18

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1630. Min Act: -0.0002

Data Index: 1634109 (Python Code)

Max Activating Token Index: 213

Text #19

Max Range: 0.1994. Min Range: -0.1994

Max Act: 0.1572. Min Act: -0.0002

Data Index: 1446693 (Python Code)

Max Activating Token Index: 257