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

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

Neuron 2783 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.0434. Min Range: -0.0434

Max Act: 0.0434. Min Act: -0.0002

Data Index: 939353 (C4 (Web Text))

Max Activating Token Index: 756

Text #1

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Max Act: 0.0364. Min Act: -0.0002

Data Index: 1269012 (C4 (Web Text))

Max Activating Token Index: 362

Text #2

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 1450923 (Python Code)

Max Activating Token Index: 979

Text #3

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Max Act: 0.0372. Min Act: -0.0002

Data Index: 1464540 (Python Code)

Max Activating Token Index: 885

Text #4

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Max Act: 0.0353. Min Act: -0.0002

Data Index: 1530098 (Python Code)

Max Activating Token Index: 31

Text #5

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1468795 (Python Code)

Max Activating Token Index: 424

Text #6

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Max Act: 0.0317. Min Act: -0.0002

Data Index: 1571800 (Python Code)

Max Activating Token Index: 469

Text #7

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Max Act: 0.0305. Min Act: -0.0002

Data Index: 695161 (C4 (Web Text))

Max Activating Token Index: 188

Text #8

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Max Act: 0.0284. Min Act: -0.0002

Data Index: 1441189 (Python Code)

Max Activating Token Index: 331

Text #9

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Max Act: 0.0287. Min Act: -0.0002

Data Index: 1560275 (Python Code)

Max Activating Token Index: 564

Text #10

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Data Index: 1510597 (Python Code)

Max Activating Token Index: 263

Text #11

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Data Index: 1412851 (Python Code)

Max Activating Token Index: 420

Text #12

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Max Act: 0.0273. Min Act: -0.0002

Data Index: 1512194 (Python Code)

Max Activating Token Index: 255

Text #13

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Max Act: 0.0243. Min Act: -0.0002

Data Index: 1403725 (Python Code)

Max Activating Token Index: 282

Text #14

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 1618894 (Python Code)

Max Activating Token Index: 39

Text #15

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 1609323 (Python Code)

Max Activating Token Index: 20

Text #16

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Data Index: 1592955 (Python Code)

Max Activating Token Index: 430

Text #17

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Data Index: 1647584 (Python Code)

Max Activating Token Index: 183

Text #18

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Max Act: 0.0243. Min Act: -0.0002

Data Index: 1610052 (Python Code)

Max Activating Token Index: 946

Text #19

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Max Act: 0.0250. Min Act: -0.0002

Data Index: 1564493 (Python Code)

Max Activating Token Index: 643