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

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

Neuron 766 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.9271. Min Act: -0.1700

Data Index: 507341 (C4 (Web Text))

Max Activating Token Index: 268

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Text #1

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Max Act: 2.9112. Min Act: -0.1700

Data Index: 785997 (C4 (Web Text))

Max Activating Token Index: 726

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Text #2

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Max Act: 2.8953. Min Act: -0.1700

Data Index: 700605 (C4 (Web Text))

Max Activating Token Index: 841

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Text #3

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Max Act: 2.8318. Min Act: -0.1700

Data Index: 458520 (C4 (Web Text))

Max Activating Token Index: 69

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Text #4

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Max Act: 2.8318. Min Act: -0.1700

Data Index: 547183 (C4 (Web Text))

Max Activating Token Index: 501

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Text #5

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Max Act: 2.8000. Min Act: -0.1700

Data Index: 993828 (C4 (Web Text))

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Text #6

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Data Index: 182550 (C4 (Web Text))

Max Activating Token Index: 598

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Text #7

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Data Index: 274547 (C4 (Web Text))

Max Activating Token Index: 759

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Text #8

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Data Index: 1142977 (C4 (Web Text))

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Text #9

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Data Index: 1569691 (Python Code)

Max Activating Token Index: 588

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Text #10

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Data Index: 1120313 (C4 (Web Text))

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Text #11

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Data Index: 1113788 (C4 (Web Text))

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Text #12

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Data Index: 190179 (C4 (Web Text))

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Text #13

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Data Index: 423870 (C4 (Web Text))

Max Activating Token Index: 855

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Text #14

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Data Index: 1141335 (C4 (Web Text))

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Text #15

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Data Index: 398044 (C4 (Web Text))

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Text #16

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Data Index: 534075 (C4 (Web Text))

Max Activating Token Index: 979

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Text #17

Max Range: 2.9271. Min Range: -2.9271

Max Act: 2.8000. Min Act: -0.1700

Data Index: 625880 (C4 (Web Text))

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Text #18

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Max Act: 2.7840. Min Act: -0.1700

Data Index: 498952 (C4 (Web Text))

Max Activating Token Index: 62

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Text #19

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Data Index: 1464458 (Python Code)

Max Activating Token Index: 545

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