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

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

Neuron 1931 in Layer 0

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

Text #0

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Max Act: 3.1778. Min Act: -0.1700

Data Index: 1557475 (Python Code)

Max Activating Token Index: 958

Text #1

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Max Act: 3.1935. Min Act: -0.1700

Data Index: 1507745 (Python Code)

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Text #2

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Max Act: 3.1935. Min Act: -0.1700

Data Index: 1409977 (Python Code)

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Text #3

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Max Act: 3.2093. Min Act: -0.1700

Data Index: 1470706 (Python Code)

Max Activating Token Index: 683

Text #4

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Max Act: 3.1935. Min Act: -0.1700

Data Index: 1500265 (Python Code)

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Text #5

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Max Act: 3.1935. Min Act: -0.1700

Data Index: 1440100 (Python Code)

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Text #6

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Data Index: 1443973 (Python Code)

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Text #7

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Data Index: 1512855 (Python Code)

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Text #8

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Data Index: 1517582 (Python Code)

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Text #9

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Data Index: 1582865 (Python Code)

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Text #10

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Data Index: 1597115 (Python Code)

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Text #11

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Data Index: 1561732 (Python Code)

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Text #12

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Data Index: 1516039 (Python Code)

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Text #13

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Data Index: 1565463 (Python Code)

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Text #14

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Data Index: 1457284 (Python Code)

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Text #15

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Data Index: 1518413 (Python Code)

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Text #16

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Data Index: 1419464 (Python Code)

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Text #17

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Data Index: 1569239 (Python Code)

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Text #18

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Data Index: 1568404 (Python Code)

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Text #19

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Max Act: 3.1620. Min Act: -0.1700

Data Index: 1373787 (Python Code)

Max Activating Token Index: 825