Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1877 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0300. Min Act: -0.0004

Data Index: 424804 (C4 (Web Text))

Max Activating Token Index: 78

Text #1

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0290. Min Act: -0.0004

Data Index: 312058 (C4 (Web Text))

Max Activating Token Index: 200

Text #2

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0271. Min Act: -0.0004

Data Index: 201671 (C4 (Web Text))

Max Activating Token Index: 233

Text #3

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0279. Min Act: -0.0004

Data Index: 1455857 (Python Code)

Max Activating Token Index: 1023

Text #4

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0283. Min Act: -0.0004

Data Index: 1545287 (Python Code)

Max Activating Token Index: 226

Text #5

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0251. Min Act: -0.0004

Data Index: 1631288 (Python Code)

Max Activating Token Index: 73

Text #6

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0260. Min Act: -0.0004

Data Index: 1483287 (Python Code)

Max Activating Token Index: 854

Text #7

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Max Act: 0.0248. Min Act: -0.0004

Data Index: 1598142 (Python Code)

Max Activating Token Index: 839

Text #8

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Max Act: 0.0251. Min Act: -0.0004

Data Index: 532034 (C4 (Web Text))

Max Activating Token Index: 599

Text #9

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Max Act: 0.0267. Min Act: -0.0004

Data Index: 1643904 (Python Code)

Max Activating Token Index: 1023

Text #10

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Max Act: 0.0250. Min Act: -0.0004

Data Index: 1648326 (Python Code)

Max Activating Token Index: 284

Text #11

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Max Act: 0.0243. Min Act: -0.0004

Data Index: 1578433 (Python Code)

Max Activating Token Index: 60

Text #12

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Max Act: 0.0247. Min Act: -0.0004

Data Index: 1499676 (Python Code)

Max Activating Token Index: 882

Text #13

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Max Act: 0.0239. Min Act: -0.0004

Data Index: 1607033 (Python Code)

Max Activating Token Index: 222

Text #14

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Max Act: 0.0235. Min Act: -0.0004

Data Index: 1628891 (Python Code)

Max Activating Token Index: 988

Text #15

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0261. Min Act: -0.0004

Data Index: 1399572 (Python Code)

Max Activating Token Index: 124

Text #16

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0245. Min Act: -0.0004

Data Index: 1186889 (C4 (Web Text))

Max Activating Token Index: 364

Text #17

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0236. Min Act: -0.0004

Data Index: 1491217 (Python Code)

Max Activating Token Index: 646

Text #18

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Max Act: 0.0230. Min Act: -0.0004

Data Index: 1629440 (Python Code)

Max Activating Token Index: 626

Text #19

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0234. Min Act: -0.0004

Data Index: 1572395 (Python Code)

Max Activating Token Index: 222