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

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

Neuron 4581 in Layer 1

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



Text #0

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Max Act: 0.0298. Min Act: -0.0002

Data Index: 1401519 (Python Code)

Max Activating Token Index: 113

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Text #1

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Max Act: 0.0294. Min Act: -0.0003

Data Index: 1450898 (Python Code)

Max Activating Token Index: 221

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Text #2

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Max Act: 0.0287. Min Act: -0.0003

Data Index: 1621892 (Python Code)

Max Activating Token Index: 487

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Text #3

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Max Act: 0.0286. Min Act: -0.0002

Data Index: 1384474 (Python Code)

Max Activating Token Index: 29

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Text #4

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Max Act: 0.0274. Min Act: -0.0003

Data Index: 1215541 (C4 (Web Text))

Max Activating Token Index: 864

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Text #5

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Data Index: 1385049 (Python Code)

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Text #6

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Data Index: 1493445 (Python Code)

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Text #7

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Data Index: 554395 (C4 (Web Text))

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Text #8

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Data Index: 1503245 (Python Code)

Max Activating Token Index: 264

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Text #9

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Data Index: 1532257 (Python Code)

Max Activating Token Index: 398

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Text #10

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Data Index: 1517368 (Python Code)

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Text #11

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Data Index: 1351171 (C4 (Web Text))

Max Activating Token Index: 769

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Text #12

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Data Index: 1479120 (Python Code)

Max Activating Token Index: 279

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Text #13

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Data Index: 1427349 (Python Code)

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Text #14

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Data Index: 1564498 (Python Code)

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Text #15

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Data Index: 1551806 (Python Code)

Max Activating Token Index: 265

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Text #16

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Data Index: 811717 (C4 (Web Text))

Max Activating Token Index: 829

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Text #17

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Data Index: 1504329 (Python Code)

Max Activating Token Index: 501

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Text #18

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Data Index: 1593469 (Python Code)

Max Activating Token Index: 631

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Text #19

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 399757 (C4 (Web Text))

Max Activating Token Index: 691

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