Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1740 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')

Text #0

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Max Act: 3.1794. Min Act: -0.1700

Data Index: 1496382 (Python Code)

Max Activating Token Index: 140

Text #1

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Data Index: 1381176 (Python Code)

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Text #2

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Data Index: 1469354 (Python Code)

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Text #3

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Data Index: 1557221 (Python Code)

Max Activating Token Index: 533

Text #4

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Max Act: 3.0849. Min Act: -0.1700

Data Index: 1583810 (Python Code)

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Text #5

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Data Index: 1441667 (Python Code)

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Text #6

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Data Index: 1432528 (Python Code)

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Text #7

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Data Index: 1475956 (Python Code)

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Text #8

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Text #9

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Data Index: 1656733 (Python Code)

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Text #10

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Data Index: 1487876 (Python Code)

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Text #11

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Data Index: 1368985 (Python Code)

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Text #12

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Data Index: 1538050 (Python Code)

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Text #13

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Data Index: 1419975 (Python Code)

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Text #14

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Data Index: 1405321 (Python Code)

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Text #15

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Data Index: 1551515 (Python Code)

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Text #16

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Text #17

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Data Index: 1496748 (Python Code)

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Text #18

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Data Index: 1426381 (Python Code)

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Text #19

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Data Index: 1621035 (Python Code)

Max Activating Token Index: 564