Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1341 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0302. Min Range: -0.0302

Max Act: 0.0302. Min Act: -0.0005

Data Index: 1394764 (Python Code)

Max Activating Token Index: 613

Text #1

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Max Act: 0.0295. Min Act: -0.0006

Data Index: 1379015 (Python Code)

Max Activating Token Index: 242

Text #2

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Max Act: 0.0300. Min Act: -0.0005

Data Index: 1578627 (Python Code)

Max Activating Token Index: 195

Text #3

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Max Act: 0.0289. Min Act: -0.0006

Data Index: 1522553 (Python Code)

Max Activating Token Index: 281

Text #4

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Max Act: 0.0282. Min Act: -0.0006

Data Index: 1577667 (Python Code)

Max Activating Token Index: 579

Text #5

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Max Act: 0.0290. Min Act: -0.0006

Data Index: 1609424 (Python Code)

Max Activating Token Index: 410

Text #6

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Max Act: 0.0286. Min Act: -0.0006

Data Index: 1654864 (Python Code)

Max Activating Token Index: 637

Text #7

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Data Index: 1544657 (Python Code)

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Text #8

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Data Index: 1644695 (Python Code)

Max Activating Token Index: 260

Text #9

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Data Index: 1526165 (Python Code)

Max Activating Token Index: 294

Text #10

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Data Index: 1601988 (Python Code)

Max Activating Token Index: 822

Text #11

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Data Index: 1571624 (Python Code)

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Text #12

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Max Act: 0.0282. Min Act: -0.0006

Data Index: 1396463 (Python Code)

Max Activating Token Index: 208

Text #13

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Max Act: 0.0281. Min Act: -0.0005

Data Index: 1583859 (Python Code)

Max Activating Token Index: 617

Text #14

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Max Act: 0.0275. Min Act: -0.0006

Data Index: 1440647 (Python Code)

Max Activating Token Index: 318

Text #15

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Data Index: 1442761 (Python Code)

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Text #16

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Data Index: 1501546 (Python Code)

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Text #17

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Data Index: 1516125 (Python Code)

Max Activating Token Index: 437

Text #18

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Data Index: 1556220 (Python Code)

Max Activating Token Index: 364

Text #19

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Max Act: 0.0281. Min Act: -0.0006

Data Index: 1493448 (Python Code)

Max Activating Token Index: 177