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

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

Neuron 795 in Layer 1

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



Text #0

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Max Act: 2.3257. Min Act: -0.1700

Data Index: 1503646 (Python Code)

Max Activating Token Index: 816

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Text #1

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Max Act: 2.2268. Min Act: -0.1697

Data Index: 300431 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 2.1605. Min Act: -0.1698

Data Index: 866853 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 2.1438. Min Act: -0.1700

Data Index: 1496791 (Python Code)

Max Activating Token Index: 983

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Text #4

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Data Index: 1378014 (Python Code)

Max Activating Token Index: 1008

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Text #5

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Data Index: 1459517 (Python Code)

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Text #6

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Data Index: 1636393 (Python Code)

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Text #7

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Data Index: 1434788 (Python Code)

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Text #8

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Data Index: 1542754 (Python Code)

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Text #9

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Data Index: 1462690 (Python Code)

Max Activating Token Index: 1017

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Text #10

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Data Index: 1465262 (Python Code)

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Text #11

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Data Index: 1441646 (Python Code)

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Data Index: 1441524 (Python Code)

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Text #13

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Data Index: 1556831 (Python Code)

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Text #14

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Data Index: 1562404 (Python Code)

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Text #15

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Data Index: 1436180 (Python Code)

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Text #16

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Text #17

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Data Index: 1593002 (Python Code)

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Text #18

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Data Index: 1460684 (Python Code)

Max Activating Token Index: 759

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Text #19

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Data Index: 1602728 (Python Code)

Max Activating Token Index: 983

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