Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 572 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')

Text #0

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Max Act: 3.1095. Min Act: -0.1700

Data Index: 1049186 (C4 (Web Text))

Max Activating Token Index: 6

Text #1

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Data Index: 866985 (C4 (Web Text))

Max Activating Token Index: 719

Text #2

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Max Act: 3.0622. Min Act: -0.1700

Data Index: 1420187 (Python Code)

Max Activating Token Index: 12

Text #3

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Max Act: 3.0622. Min Act: -0.1700

Data Index: 1505319 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 3.0622. Min Act: -0.1700

Data Index: 1550848 (Python Code)

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Text #5

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Data Index: 1617818 (Python Code)

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Text #6

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Data Index: 1556466 (Python Code)

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Text #7

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Data Index: 1396481 (Python Code)

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Text #8

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Data Index: 1401397 (Python Code)

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Text #9

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Data Index: 1603404 (Python Code)

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Text #10

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Data Index: 1491260 (Python Code)

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Text #11

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Text #12

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Data Index: 1540279 (Python Code)

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Text #13

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Data Index: 1417135 (Python Code)

Max Activating Token Index: 2

Text #14

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Data Index: 1610769 (Python Code)

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Text #15

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Data Index: 1411566 (Python Code)

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Text #16

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Data Index: 1626601 (Python Code)

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Text #17

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Data Index: 1542764 (Python Code)

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Text #18

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Data Index: 1499834 (Python Code)

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Text #19

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Data Index: 1561683 (Python Code)

Max Activating Token Index: 244