Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1393 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0205. Min Range: -0.0205

Max Act: 0.0205. Min Act: -0.0004

Data Index: 1585802 (Python Code)

Max Activating Token Index: 380

Text #1

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Max Act: 0.0197. Min Act: -0.0004

Data Index: 1363687 (Python Code)

Max Activating Token Index: 297

Text #2

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Max Act: 0.0195. Min Act: -0.0004

Data Index: 1384006 (Python Code)

Max Activating Token Index: 47

Text #3

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Max Act: 0.0194. Min Act: -0.0003

Data Index: 1477479 (Python Code)

Max Activating Token Index: 297

Text #4

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Max Act: 0.0194. Min Act: -0.0004

Data Index: 1582039 (Python Code)

Max Activating Token Index: 293

Text #5

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Max Act: 0.0187. Min Act: -0.0004

Data Index: 1629067 (Python Code)

Max Activating Token Index: 389

Text #6

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Max Act: 0.0191. Min Act: -0.0004

Data Index: 1513483 (Python Code)

Max Activating Token Index: 390

Text #7

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Data Index: 1571288 (Python Code)

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Text #8

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Data Index: 1381109 (Python Code)

Max Activating Token Index: 456

Text #9

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Data Index: 1464093 (Python Code)

Max Activating Token Index: 479

Text #10

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Max Act: 0.0189. Min Act: -0.0004

Data Index: 1587754 (Python Code)

Max Activating Token Index: 474

Text #11

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Max Act: 0.0189. Min Act: -0.0004

Data Index: 1370317 (Python Code)

Max Activating Token Index: 294

Text #12

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Data Index: 1652141 (Python Code)

Max Activating Token Index: 780

Text #13

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Data Index: 1511501 (Python Code)

Max Activating Token Index: 338

Text #14

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Data Index: 1506548 (Python Code)

Max Activating Token Index: 792

Text #15

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Data Index: 1392731 (Python Code)

Max Activating Token Index: 189

Text #16

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Data Index: 1573521 (Python Code)

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Text #17

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Data Index: 1427913 (Python Code)

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Text #18

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Data Index: 1559576 (Python Code)

Max Activating Token Index: 602

Text #19

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Max Act: 0.0180. Min Act: -0.0004

Data Index: 1432859 (Python Code)

Max Activating Token Index: 194