Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 559 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0435. Min Range: -0.0435

Max Act: 0.0426. Min Act: -0.0003

Data Index: 273339 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0435. Min Act: -0.0003

Data Index: 226106 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 1032815 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

Max Range: 0.0435. Min Range: -0.0435

Max Act: 0.0390. Min Act: -0.0003

Data Index: 1405171 (Python Code)

Max Activating Token Index: 1023

Text #4

Max Range: 0.0435. Min Range: -0.0435

Max Act: 0.0375. Min Act: -0.0003

Data Index: 10794 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

Max Range: 0.0435. Min Range: -0.0435

Max Act: 0.0391. Min Act: -0.0003

Data Index: 1320626 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Max Act: 0.0364. Min Act: -0.0003

Data Index: 1452095 (Python Code)

Max Activating Token Index: 1023

Text #7

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Max Act: 0.0354. Min Act: -0.0003

Data Index: 1261807 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Max Act: 0.0374. Min Act: -0.0004

Data Index: 1475698 (Python Code)

Max Activating Token Index: 1023

Text #9

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 708777 (C4 (Web Text))

Max Activating Token Index: 1023

Text #10

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Max Act: 0.0351. Min Act: -0.0003

Data Index: 305469 (C4 (Web Text))

Max Activating Token Index: 1023

Text #11

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 1457130 (Python Code)

Max Activating Token Index: 1023

Text #12

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Max Act: 0.0351. Min Act: -0.0003

Data Index: 725641 (C4 (Web Text))

Max Activating Token Index: 1023

Text #13

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Max Act: 0.0359. Min Act: -0.0003

Data Index: 677939 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Max Act: 0.0341. Min Act: -0.0003

Data Index: 597738 (C4 (Web Text))

Max Activating Token Index: 1023

Text #15

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Max Act: 0.0336. Min Act: -0.0004

Data Index: 1471864 (Python Code)

Max Activating Token Index: 1023

Text #16

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Max Act: 0.0335. Min Act: -0.0003

Data Index: 1471082 (Python Code)

Max Activating Token Index: 1023

Text #17

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Max Act: 0.0350. Min Act: -0.0003

Data Index: 1493894 (Python Code)

Max Activating Token Index: 1023

Text #18

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 1376724 (Python Code)

Max Activating Token Index: 1023

Text #19

Max Range: 0.0435. Min Range: -0.0435

Max Act: 0.0329. Min Act: -0.0003

Data Index: 401005 (C4 (Web Text))

Max Activating Token Index: 1023