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

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

Neuron 1475 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 3.9023. Min Range: -3.9023

Max Act: 3.9023. Min Act: -0.1700

Data Index: 935261 (C4 (Web Text))

Max Activating Token Index: 268

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Text #1

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Max Act: 3.9023. Min Act: -0.1700

Data Index: 1374135 (Python Code)

Max Activating Token Index: 1018

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Text #2

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Max Act: 3.8398. Min Act: -0.1700

Data Index: 504909 (C4 (Web Text))

Max Activating Token Index: 498

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Text #3

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Max Act: 3.8398. Min Act: -0.1700

Data Index: 328288 (C4 (Web Text))

Max Activating Token Index: 94

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Text #4

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Max Act: 3.8398. Min Act: -0.1700

Data Index: 962927 (C4 (Web Text))

Max Activating Token Index: 269

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Text #5

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Max Act: 3.7459. Min Act: -0.1700

Data Index: 1038860 (C4 (Web Text))

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Text #6

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Data Index: 41874 (C4 (Web Text))

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Text #7

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Data Index: 1175084 (C4 (Web Text))

Max Activating Token Index: 876

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Text #8

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Max Act: 3.7459. Min Act: -0.1700

Data Index: 770527 (C4 (Web Text))

Max Activating Token Index: 482

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Text #9

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Data Index: 455031 (C4 (Web Text))

Max Activating Token Index: 87

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Text #10

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Data Index: 225777 (C4 (Web Text))

Max Activating Token Index: 727

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Text #11

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Data Index: 721393 (C4 (Web Text))

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Text #12

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Data Index: 1074449 (C4 (Web Text))

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Text #13

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Data Index: 1106860 (C4 (Web Text))

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Text #14

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Data Index: 687893 (C4 (Web Text))

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Text #15

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Max Act: 3.6833. Min Act: -0.1700

Data Index: 1651257 (Python Code)

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Text #16

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Data Index: 1610848 (Python Code)

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Text #17

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Max Act: 3.7146. Min Act: -0.1700

Data Index: 753767 (C4 (Web Text))

Max Activating Token Index: 91

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Text #18

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Max Act: 3.7146. Min Act: -0.1700

Data Index: 929894 (C4 (Web Text))

Max Activating Token Index: 153

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Text #19

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Data Index: 643297 (C4 (Web Text))

Max Activating Token Index: 812

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