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

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

Neuron 1317 in Layer 1

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



Text #0

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Max Act: 3.9289. Min Act: -0.1700

Data Index: 174452 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 3.8350. Min Act: -0.1700

Data Index: 1017691 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 3.6160. Min Act: -0.1700

Data Index: 502249 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 3.6786. Min Act: -0.1700

Data Index: 579438 (C4 (Web Text))

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Text #4

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Data Index: 205156 (C4 (Web Text))

Max Activating Token Index: 752

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Text #5

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Data Index: 1180660 (C4 (Web Text))

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Text #6

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Data Index: 1311817 (C4 (Web Text))

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Text #7

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Data Index: 1106494 (C4 (Web Text))

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Text #8

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Data Index: 1172189 (C4 (Web Text))

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Text #9

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Data Index: 176375 (C4 (Web Text))

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Text #10

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Data Index: 559102 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1490036 (Python Code)

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Text #13

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Data Index: 1485024 (Python Code)

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Text #14

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Data Index: 1271389 (C4 (Web Text))

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Text #15

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Data Index: 350686 (C4 (Web Text))

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Text #16

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Data Index: 726242 (C4 (Web Text))

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Text #17

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Data Index: 899107 (C4 (Web Text))

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Text #18

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Max Act: 3.4907. Min Act: -0.1700

Data Index: 794724 (C4 (Web Text))

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Text #19

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Data Index: 152796 (C4 (Web Text))

Max Activating Token Index: 1023

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