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

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

Neuron 307 in Layer 0

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



Text #0

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Max Act: 2.8981. Min Act: -0.1700

Data Index: 1361853 (Python Code)

Max Activating Token Index: 27

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Text #1

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Max Act: 2.8505. Min Act: -0.1700

Data Index: 386607 (C4 (Web Text))

Max Activating Token Index: 695

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Text #2

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Max Act: 2.8822. Min Act: -0.1700

Data Index: 1460452 (Python Code)

Max Activating Token Index: 956

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Text #3

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Max Act: 2.8664. Min Act: -0.1700

Data Index: 297260 (C4 (Web Text))

Max Activating Token Index: 967

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Text #4

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Data Index: 890773 (C4 (Web Text))

Max Activating Token Index: 35

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Text #5

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Data Index: 1273721 (C4 (Web Text))

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Text #6

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Data Index: 1598568 (Python Code)

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Text #7

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Data Index: 442310 (C4 (Web Text))

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Text #8

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Data Index: 20501 (C4 (Web Text))

Max Activating Token Index: 863

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Text #9

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Data Index: 160796 (C4 (Web Text))

Max Activating Token Index: 71

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Text #10

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Data Index: 1061176 (C4 (Web Text))

Max Activating Token Index: 751

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Text #11

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Data Index: 65949 (C4 (Web Text))

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Text #12

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Data Index: 95384 (C4 (Web Text))

Max Activating Token Index: 783

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Text #13

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Data Index: 305998 (C4 (Web Text))

Max Activating Token Index: 933

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Text #14

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Data Index: 221463 (C4 (Web Text))

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Text #15

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Data Index: 1590166 (Python Code)

Max Activating Token Index: 42

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Text #16

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Text #17

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Max Act: 2.7070. Min Act: -0.1700

Data Index: 539030 (C4 (Web Text))

Max Activating Token Index: 621

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Text #18

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Data Index: 684928 (C4 (Web Text))

Max Activating Token Index: 829

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Text #19

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Data Index: 1049943 (C4 (Web Text))

Max Activating Token Index: 675

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