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

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

Neuron 556 in Layer 0

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

Text #0

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Max Act: 0.0276. Min Act: -0.0004

Data Index: 1487610 (Python Code)

Max Activating Token Index: 706

Text #1

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Max Act: 0.0260. Min Act: -0.0004

Data Index: 1559598 (Python Code)

Max Activating Token Index: 916

Text #2

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Max Act: 0.0251. Min Act: -0.0004

Data Index: 1562368 (Python Code)

Max Activating Token Index: 30

Text #3

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Max Act: 0.0251. Min Act: -0.0004

Data Index: 1451780 (Python Code)

Max Activating Token Index: 810

Text #4

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Max Act: 0.0247. Min Act: -0.0004

Data Index: 1597859 (Python Code)

Max Activating Token Index: 649

Text #5

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Max Act: 0.0241. Min Act: -0.0004

Data Index: 1411027 (Python Code)

Max Activating Token Index: 762

Text #6

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Data Index: 1649074 (Python Code)

Max Activating Token Index: 471

Text #7

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Data Index: 1405678 (Python Code)

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Text #8

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Data Index: 1398777 (Python Code)

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Text #9

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Data Index: 1423154 (Python Code)

Max Activating Token Index: 1000

Text #10

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Data Index: 1529340 (Python Code)

Max Activating Token Index: 243

Text #11

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Data Index: 1506790 (Python Code)

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Text #12

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Data Index: 1468451 (Python Code)

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Text #13

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Data Index: 1458415 (Python Code)

Max Activating Token Index: 940

Text #14

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Data Index: 1528067 (Python Code)

Max Activating Token Index: 697

Text #15

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Data Index: 1453964 (Python Code)

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Text #16

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Data Index: 1586697 (Python Code)

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Text #17

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Data Index: 1501246 (Python Code)

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Text #18

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Data Index: 1615505 (Python Code)

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Text #19

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Max Act: 0.0204. Min Act: -0.0004

Data Index: 1558748 (Python Code)

Max Activating Token Index: 409