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

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

Neuron 1208 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.8609. Min Range: -4.8609

Max Act: 4.8609. Min Act: -0.1700

Data Index: 1319764 (C4 (Web Text))

Max Activating Token Index: 114

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Text #1

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Max Act: 4.8609. Min Act: -0.1700

Data Index: 209044 (C4 (Web Text))

Max Activating Token Index: 549

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Text #2

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Max Act: 4.8609. Min Act: -0.1700

Data Index: 929138 (C4 (Web Text))

Max Activating Token Index: 820

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Text #3

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Max Act: 4.7359. Min Act: -0.1700

Data Index: 829458 (C4 (Web Text))

Max Activating Token Index: 619

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Text #4

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Max Act: 4.4546. Min Act: -0.1700

Data Index: 1359014 (C4 (Web Text))

Max Activating Token Index: 865

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Text #5

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Max Act: 4.6734. Min Act: -0.1700

Data Index: 1012266 (C4 (Web Text))

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Text #6

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Data Index: 705855 (C4 (Web Text))

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Text #7

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Data Index: 1015263 (C4 (Web Text))

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Text #8

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Data Index: 688956 (C4 (Web Text))

Max Activating Token Index: 811

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Text #9

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Data Index: 541658 (C4 (Web Text))

Max Activating Token Index: 348

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Text #10

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Data Index: 358012 (C4 (Web Text))

Max Activating Token Index: 729

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Text #11

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Data Index: 1261759 (C4 (Web Text))

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Text #12

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Data Index: 1268507 (C4 (Web Text))

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Text #13

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Data Index: 894522 (C4 (Web Text))

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Text #14

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Data Index: 1161731 (C4 (Web Text))

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Text #15

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Max Act: 4.3296. Min Act: -0.1700

Data Index: 102999 (C4 (Web Text))

Max Activating Token Index: 709

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Text #16

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Data Index: 1515415 (Python Code)

Max Activating Token Index: 651

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Text #17

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Data Index: 1555093 (Python Code)

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Text #18

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Max Act: 4.4859. Min Act: -0.1700

Data Index: 572400 (C4 (Web Text))

Max Activating Token Index: 756

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Text #19

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Max Act: 4.4546. Min Act: -0.1700

Data Index: 735900 (C4 (Web Text))

Max Activating Token Index: 566

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