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

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

Neuron 122 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 5.3713. Min Act: -0.1700

Data Index: 492873 (C4 (Web Text))

Max Activating Token Index: 413

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Text #1

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Max Act: 5.1838. Min Act: -0.1700

Data Index: 1077785 (C4 (Web Text))

Max Activating Token Index: 28

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Text #2

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Max Act: 5.0588. Min Act: -0.1700

Data Index: 1487022 (Python Code)

Max Activating Token Index: 643

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Text #3

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Max Act: 5.0588. Min Act: -0.1700

Data Index: 51833 (C4 (Web Text))

Max Activating Token Index: 866

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Text #4

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Max Act: 5.0901. Min Act: -0.1700

Data Index: 243688 (C4 (Web Text))

Max Activating Token Index: 539

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Text #5

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Data Index: 1560222 (Python Code)

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Text #6

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Data Index: 88993 (C4 (Web Text))

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Text #7

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Data Index: 1268708 (C4 (Web Text))

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Text #8

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Data Index: 1179784 (C4 (Web Text))

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Text #9

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Data Index: 206649 (C4 (Web Text))

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Text #10

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Data Index: 984439 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 302015 (C4 (Web Text))

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Text #13

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Data Index: 224737 (C4 (Web Text))

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Text #14

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Data Index: 1220928 (C4 (Web Text))

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Text #15

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Data Index: 485871 (C4 (Web Text))

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Text #16

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Data Index: 275485 (C4 (Web Text))

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Text #17

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Max Act: 4.9338. Min Act: -0.1700

Data Index: 106226 (C4 (Web Text))

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Text #18

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Max Act: 4.8401. Min Act: -0.1700

Data Index: 529069 (C4 (Web Text))

Max Activating Token Index: 48

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Text #19

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Data Index: 796654 (C4 (Web Text))

Max Activating Token Index: 927

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