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

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

Neuron 1891 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: 4.4959. Min Range: -4.4959

Max Act: 4.4959. Min Act: -0.1700

Data Index: 87430 (C4 (Web Text))

Max Activating Token Index: 899

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Text #1

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Max Act: 4.1521. Min Act: -0.1700

Data Index: 166819 (C4 (Web Text))

Max Activating Token Index: 653

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Text #2

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Max Act: 4.1521. Min Act: -0.1700

Data Index: 764433 (C4 (Web Text))

Max Activating Token Index: 927

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Text #3

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Max Act: 4.1209. Min Act: -0.1700

Data Index: 817968 (C4 (Web Text))

Max Activating Token Index: 734

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Text #4

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Max Act: 4.0271. Min Act: -0.1700

Data Index: 1225671 (C4 (Web Text))

Max Activating Token Index: 210

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Text #5

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Max Act: 4.0583. Min Act: -0.1700

Data Index: 1352040 (C4 (Web Text))

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Text #6

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Data Index: 1330325 (C4 (Web Text))

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Text #7

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Data Index: 144016 (C4 (Web Text))

Max Activating Token Index: 754

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Text #8

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Data Index: 1111348 (C4 (Web Text))

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Text #9

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Max Act: 4.0271. Min Act: -0.1700

Data Index: 1100378 (C4 (Web Text))

Max Activating Token Index: 378

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Text #10

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Data Index: 674352 (C4 (Web Text))

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Text #11

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Data Index: 315468 (C4 (Web Text))

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Text #12

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Data Index: 767974 (C4 (Web Text))

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Text #13

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Data Index: 1470762 (Python Code)

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Text #14

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Data Index: 1479744 (Python Code)

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Text #15

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Max Act: 3.9958. Min Act: -0.1700

Data Index: 542162 (C4 (Web Text))

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Text #16

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Data Index: 828159 (C4 (Web Text))

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Text #17

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Data Index: 1091833 (C4 (Web Text))

Max Activating Token Index: 865

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Text #18

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Max Act: 3.9333. Min Act: -0.1700

Data Index: 1068523 (C4 (Web Text))

Max Activating Token Index: 757

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Text #19

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Max Act: 3.9958. Min Act: -0.1700

Data Index: 1035827 (C4 (Web Text))

Max Activating Token Index: 983

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