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

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

Neuron 1831 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 4.6960. Min Range: -4.6960

Max Act: 4.6960. Min Act: -0.1700

Data Index: 503524 (C4 (Web Text))

Max Activating Token Index: 334

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Text #1

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Max Act: 4.6647. Min Act: -0.1700

Data Index: 191837 (C4 (Web Text))

Max Activating Token Index: 285

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Text #2

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Max Act: 4.5397. Min Act: -0.1700

Data Index: 1565838 (Python Code)

Max Activating Token Index: 528

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Text #3

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Max Act: 4.5397. Min Act: -0.1700

Data Index: 1006551 (C4 (Web Text))

Max Activating Token Index: 603

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Text #4

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Max Act: 4.6022. Min Act: -0.1700

Data Index: 91723 (C4 (Web Text))

Max Activating Token Index: 453

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Text #5

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Data Index: 979749 (C4 (Web Text))

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Text #6

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Text #7

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Data Index: 627960 (C4 (Web Text))

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Text #8

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Data Index: 68074 (C4 (Web Text))

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Text #9

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Data Index: 593954 (C4 (Web Text))

Max Activating Token Index: 391

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Text #10

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Data Index: 1531914 (Python Code)

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Text #11

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Data Index: 1256486 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 155449 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 341720 (C4 (Web Text))

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Text #16

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Data Index: 1582865 (Python Code)

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Text #17

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Data Index: 546308 (C4 (Web Text))

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Text #18

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Max Act: 4.4147. Min Act: -0.1700

Data Index: 361723 (C4 (Web Text))

Max Activating Token Index: 559

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Text #19

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Data Index: 390149 (C4 (Web Text))

Max Activating Token Index: 704

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