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

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

Neuron 1911 in Layer 1

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

Text #0

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Max Act: 0.0824. Min Act: -0.0003

Data Index: 1381138 (Python Code)

Max Activating Token Index: 839

Text #1

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Max Act: 0.0796. Min Act: -0.0003

Data Index: 1580921 (Python Code)

Max Activating Token Index: 395

Text #2

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Max Act: 0.0787. Min Act: -0.0003

Data Index: 1513965 (Python Code)

Max Activating Token Index: 531

Text #3

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Max Act: 0.0746. Min Act: -0.0003

Data Index: 1560416 (Python Code)

Max Activating Token Index: 123

Text #4

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Max Act: 0.0736. Min Act: -0.0003

Data Index: 1476770 (Python Code)

Max Activating Token Index: 71

Text #5

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Data Index: 1561949 (Python Code)

Max Activating Token Index: 295

Text #6

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Data Index: 1503209 (Python Code)

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Text #7

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Data Index: 1367472 (Python Code)

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Text #8

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Data Index: 1578932 (Python Code)

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Text #9

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Data Index: 1529318 (Python Code)

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Text #10

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Data Index: 1367138 (Python Code)

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Text #11

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Data Index: 1503488 (Python Code)

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Text #12

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Data Index: 1379159 (Python Code)

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Text #13

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Data Index: 1562332 (Python Code)

Max Activating Token Index: 182

Text #14

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Data Index: 1409082 (Python Code)

Max Activating Token Index: 484

Text #15

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Data Index: 1460262 (Python Code)

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Text #16

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Data Index: 1361214 (Python Code)

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Text #17

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Data Index: 1479010 (Python Code)

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Text #18

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Data Index: 1592734 (Python Code)

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Text #19

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Data Index: 1544484 (Python Code)

Max Activating Token Index: 436