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

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

Neuron 1789 in Layer 0

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

Text #0

Max Range: 0.0330. Min Range: -0.0330

Max Act: 0.0330. Min Act: -0.0004

Data Index: 1445428 (Python Code)

Max Activating Token Index: 993

Text #1

Max Range: 0.0330. Min Range: -0.0330

Max Act: 0.0308. Min Act: -0.0003

Data Index: 1390918 (Python Code)

Max Activating Token Index: 156

Text #2

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Max Act: 0.0307. Min Act: -0.0003

Data Index: 1542497 (Python Code)

Max Activating Token Index: 604

Text #3

Max Range: 0.0330. Min Range: -0.0330

Max Act: 0.0307. Min Act: -0.0003

Data Index: 1387808 (Python Code)

Max Activating Token Index: 340

Text #4

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Max Act: 0.0303. Min Act: -0.0003

Data Index: 1408908 (Python Code)

Max Activating Token Index: 348

Text #5

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Max Act: 0.0303. Min Act: -0.0003

Data Index: 1609338 (Python Code)

Max Activating Token Index: 165

Text #6

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Max Act: 0.0301. Min Act: -0.0004

Data Index: 1489858 (Python Code)

Max Activating Token Index: 77

Text #7

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Max Act: 0.0297. Min Act: -0.0004

Data Index: 1479821 (Python Code)

Max Activating Token Index: 801

Text #8

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Max Act: 0.0295. Min Act: -0.0003

Data Index: 1512699 (Python Code)

Max Activating Token Index: 388

Text #9

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Max Act: 0.0285. Min Act: -0.0004

Data Index: 1634088 (Python Code)

Max Activating Token Index: 78

Text #10

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Max Act: 0.0297. Min Act: -0.0004

Data Index: 1423178 (Python Code)

Max Activating Token Index: 562

Text #11

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Max Act: 0.0283. Min Act: -0.0003

Data Index: 1385587 (Python Code)

Max Activating Token Index: 839

Text #12

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Max Act: 0.0284. Min Act: -0.0004

Data Index: 1458382 (Python Code)

Max Activating Token Index: 652

Text #13

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Max Act: 0.0282. Min Act: -0.0004

Data Index: 1445799 (Python Code)

Max Activating Token Index: 8

Text #14

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Max Act: 0.0281. Min Act: -0.0004

Data Index: 1500308 (Python Code)

Max Activating Token Index: 842

Text #15

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Max Act: 0.0280. Min Act: -0.0004

Data Index: 1648821 (Python Code)

Max Activating Token Index: 86

Text #16

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Max Act: 0.0280. Min Act: -0.0004

Data Index: 1628454 (Python Code)

Max Activating Token Index: 809

Text #17

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Max Act: 0.0277. Min Act: -0.0003

Data Index: 1450431 (Python Code)

Max Activating Token Index: 435

Text #18

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Max Act: 0.0275. Min Act: -0.0004

Data Index: 1495278 (Python Code)

Max Activating Token Index: 792

Text #19

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Max Act: 0.0270. Min Act: -0.0004

Data Index: 1510868 (Python Code)

Max Activating Token Index: 485