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

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

Neuron 193 in Layer 0

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

Text #0

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Max Act: 3.1806. Min Act: -0.1700

Data Index: 1583833 (Python Code)

Max Activating Token Index: 15

Text #1

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Max Act: 3.1491. Min Act: -0.1700

Data Index: 1651305 (Python Code)

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Text #2

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Data Index: 1381900 (Python Code)

Max Activating Token Index: 10

Text #3

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Data Index: 1432720 (Python Code)

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Text #4

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Data Index: 1648397 (Python Code)

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Text #5

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Data Index: 1481387 (Python Code)

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Text #6

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Data Index: 1462215 (Python Code)

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Text #7

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Data Index: 1517284 (Python Code)

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Text #8

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Data Index: 1494580 (Python Code)

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Text #9

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Text #10

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Data Index: 1652912 (Python Code)

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Text #11

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Data Index: 1550932 (Python Code)

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Text #12

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Data Index: 1436797 (Python Code)

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Text #13

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Data Index: 1439523 (Python Code)

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Text #14

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Data Index: 1598674 (Python Code)

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Text #15

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Data Index: 1457247 (Python Code)

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Text #16

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Data Index: 1656594 (Python Code)

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Text #17

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Text #18

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Data Index: 1559936 (Python Code)

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Text #19

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Data Index: 1520372 (Python Code)

Max Activating Token Index: 19