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

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

Neuron 933 in Layer 1

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

Text #0

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Max Act: 0.0505. Min Act: -0.0003

Data Index: 1412653 (Python Code)

Max Activating Token Index: 1015

Text #1

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 1489417 (Python Code)

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Text #2

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Max Act: 0.0455. Min Act: -0.0003

Data Index: 1510543 (Python Code)

Max Activating Token Index: 431

Text #3

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Max Act: 0.0453. Min Act: -0.0003

Data Index: 1563711 (Python Code)

Max Activating Token Index: 762

Text #4

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Max Act: 0.0434. Min Act: -0.0003

Data Index: 1653304 (Python Code)

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Text #5

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Data Index: 1497602 (Python Code)

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Text #6

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Data Index: 1468463 (Python Code)

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Text #7

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Data Index: 1588696 (Python Code)

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Text #8

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Data Index: 1596675 (Python Code)

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Text #9

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Data Index: 1418149 (Python Code)

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Text #10

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Data Index: 1542455 (Python Code)

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Text #11

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Data Index: 1465034 (Python Code)

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Text #12

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Data Index: 1564506 (Python Code)

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Text #13

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Data Index: 1538234 (Python Code)

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Text #14

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Data Index: 1372902 (Python Code)

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Text #15

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Data Index: 1536434 (Python Code)

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Text #16

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Text #17

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Data Index: 1520627 (Python Code)

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Text #18

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Data Index: 1455323 (Python Code)

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Text #19

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Data Index: 1634339 (Python Code)

Max Activating Token Index: 753