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

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

Neuron 812 in Layer 1

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



Text #0

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Max Act: 3.7396. Min Act: -0.1700

Data Index: 997601 (C4 (Web Text))

Max Activating Token Index: 364

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Text #1

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Max Act: 3.7083. Min Act: -0.1700

Data Index: 263256 (C4 (Web Text))

Max Activating Token Index: 643

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Text #2

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Max Act: 3.6770. Min Act: -0.1700

Data Index: 1586365 (Python Code)

Max Activating Token Index: 1003

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Text #3

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Max Act: 3.6457. Min Act: -0.1700

Data Index: 1542190 (Python Code)

Max Activating Token Index: 1002

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Text #4

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Data Index: 1466170 (Python Code)

Max Activating Token Index: 1023

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Text #5

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Data Index: 1574885 (Python Code)

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Text #6

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Data Index: 1442484 (Python Code)

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Text #7

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Data Index: 1533454 (Python Code)

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Text #8

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Data Index: 1372841 (Python Code)

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Text #9

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Data Index: 1404360 (Python Code)

Max Activating Token Index: 1016

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Text #10

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Data Index: 1631070 (Python Code)

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Text #11

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Data Index: 1429554 (Python Code)

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Text #12

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Data Index: 1558786 (Python Code)

Max Activating Token Index: 847

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Text #13

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Data Index: 1554718 (Python Code)

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Text #14

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Data Index: 1550197 (Python Code)

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Text #15

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Data Index: 1458806 (Python Code)

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Text #16

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Data Index: 1533489 (Python Code)

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Text #17

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Data Index: 1530702 (Python Code)

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Text #18

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Data Index: 1360094 (Python Code)

Max Activating Token Index: 1017

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Text #19

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Data Index: 1477407 (Python Code)

Max Activating Token Index: 836

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