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

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

Neuron 227 in Layer 0

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

Text #0

Max Range: 0.0266. Min Range: -0.0266

Max Act: 0.0265. Min Act: -0.0003

Data Index: 1645176 (Python Code)

Max Activating Token Index: 485

Text #1

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Max Act: 0.0266. Min Act: -0.0004

Data Index: 1363286 (Python Code)

Max Activating Token Index: 392

Text #2

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Max Act: 0.0258. Min Act: -0.0004

Data Index: 1406690 (Python Code)

Max Activating Token Index: 280

Text #3

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Max Act: 0.0252. Min Act: -0.0004

Data Index: 1532706 (Python Code)

Max Activating Token Index: 565

Text #4

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Max Act: 0.0250. Min Act: -0.0003

Data Index: 1458492 (Python Code)

Max Activating Token Index: 254

Text #5

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Max Act: 0.0243. Min Act: -0.0004

Data Index: 1464288 (Python Code)

Max Activating Token Index: 852

Text #6

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Data Index: 1583723 (Python Code)

Max Activating Token Index: 897

Text #7

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Data Index: 1573730 (Python Code)

Max Activating Token Index: 328

Text #8

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Data Index: 1540008 (Python Code)

Max Activating Token Index: 95

Text #9

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Data Index: 1444389 (Python Code)

Max Activating Token Index: 87

Text #10

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Data Index: 1414988 (Python Code)

Max Activating Token Index: 41

Text #11

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Data Index: 1521753 (Python Code)

Max Activating Token Index: 639

Text #12

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Data Index: 1393199 (Python Code)

Max Activating Token Index: 71

Text #13

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Data Index: 1454561 (Python Code)

Max Activating Token Index: 888

Text #14

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Data Index: 1374961 (Python Code)

Max Activating Token Index: 760

Text #15

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Data Index: 1573016 (Python Code)

Max Activating Token Index: 140

Text #16

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Data Index: 1617748 (Python Code)

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Text #17

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Data Index: 1359853 (Python Code)

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Text #18

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Max Act: 0.0232. Min Act: -0.0004

Data Index: 1470717 (Python Code)

Max Activating Token Index: 619

Text #19

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Max Act: 0.0242. Min Act: -0.0003

Data Index: 1398497 (Python Code)

Max Activating Token Index: 491