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

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

Neuron 1984 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 7.3707. Min Range: -7.3707

Max Act: 7.3394. Min Act: -0.1700

Data Index: 303160 (C4 (Web Text))

Max Activating Token Index: 884

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Text #1

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Max Act: 7.3707. Min Act: -0.1700

Data Index: 1313018 (C4 (Web Text))

Max Activating Token Index: 823

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Text #2

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Max Act: 7.2144. Min Act: -0.1700

Data Index: 139773 (C4 (Web Text))

Max Activating Token Index: 892

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Text #3

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Data Index: 336241 (C4 (Web Text))

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Text #4

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Data Index: 464644 (C4 (Web Text))

Max Activating Token Index: 96

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Text #5

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Data Index: 597259 (C4 (Web Text))

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Text #6

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Data Index: 509285 (C4 (Web Text))

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Text #7

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Data Index: 424160 (C4 (Web Text))

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Text #8

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Data Index: 185474 (C4 (Web Text))

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Text #9

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Data Index: 758446 (C4 (Web Text))

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Text #10

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Data Index: 77450 (C4 (Web Text))

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Text #11

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Data Index: 262636 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 576601 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 726438 (C4 (Web Text))

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Text #16

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Data Index: 1012629 (C4 (Web Text))

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Text #17

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Data Index: 499636 (C4 (Web Text))

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Text #18

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Data Index: 744479 (C4 (Web Text))

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Text #19

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Data Index: 972302 (C4 (Web Text))

Max Activating Token Index: 57

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