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

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

Neuron 2017 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 4.9585. Min Act: -0.1700

Data Index: 462752 (C4 (Web Text))

Max Activating Token Index: 456

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Text #1

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Data Index: 1071827 (C4 (Web Text))

Max Activating Token Index: 582

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Text #2

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Max Act: 4.8647. Min Act: -0.1700

Data Index: 58337 (C4 (Web Text))

Max Activating Token Index: 562

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Text #3

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Max Act: 4.8022. Min Act: -0.1700

Data Index: 1150180 (C4 (Web Text))

Max Activating Token Index: 472

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Text #4

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Data Index: 947170 (C4 (Web Text))

Max Activating Token Index: 628

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Text #5

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Data Index: 1280863 (C4 (Web Text))

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Text #6

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Data Index: 729074 (C4 (Web Text))

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Text #7

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Data Index: 292538 (C4 (Web Text))

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Text #8

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Max Act: 4.8022. Min Act: -0.1700

Data Index: 1352854 (C4 (Web Text))

Max Activating Token Index: 958

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Text #9

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Data Index: 249023 (C4 (Web Text))

Max Activating Token Index: 886

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Text #10

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Data Index: 1019293 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1312545 (C4 (Web Text))

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Text #13

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Data Index: 105824 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 76514 (C4 (Web Text))

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Text #16

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Data Index: 508988 (C4 (Web Text))

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Text #17

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Data Index: 933192 (C4 (Web Text))

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Text #18

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Data Index: 1073513 (C4 (Web Text))

Max Activating Token Index: 540

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Text #19

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Data Index: 182046 (C4 (Web Text))

Max Activating Token Index: 331

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