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

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

Neuron 1150 in Layer 0

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

Text #0

Max Range: 0.0129. Min Range: -0.0129

Max Act: 0.0129. Min Act: -0.0002

Data Index: 1583667 (Python Code)

Max Activating Token Index: 177

Text #1

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1407749 (Python Code)

Max Activating Token Index: 442

Text #2

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 1634545 (Python Code)

Max Activating Token Index: 298

Text #3

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1433310 (Python Code)

Max Activating Token Index: 361

Text #4

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1564999 (Python Code)

Max Activating Token Index: 59

Text #5

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1489146 (Python Code)

Max Activating Token Index: 693

Text #6

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Data Index: 1616418 (Python Code)

Max Activating Token Index: 814

Text #7

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Data Index: 1385558 (Python Code)

Max Activating Token Index: 606

Text #8

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Data Index: 1645354 (Python Code)

Max Activating Token Index: 33

Text #9

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Data Index: 1365632 (Python Code)

Max Activating Token Index: 545

Text #10

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Data Index: 1511810 (Python Code)

Max Activating Token Index: 720

Text #11

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Data Index: 1477838 (Python Code)

Max Activating Token Index: 442

Text #12

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Data Index: 1568455 (Python Code)

Max Activating Token Index: 426

Text #13

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Data Index: 1578254 (Python Code)

Max Activating Token Index: 39

Text #14

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Data Index: 1589071 (Python Code)

Max Activating Token Index: 244

Text #15

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 1393661 (Python Code)

Max Activating Token Index: 150

Text #16

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Data Index: 1650573 (Python Code)

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Text #17

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Data Index: 1573896 (Python Code)

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Text #18

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Data Index: 1474887 (Python Code)

Max Activating Token Index: 432

Text #19

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Max Act: 0.0112. Min Act: -0.0002

Data Index: 1505233 (Python Code)

Max Activating Token Index: 657