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

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

Neuron 2023 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 4.1161. Min Range: -4.1161

Max Act: 4.1161. Min Act: -0.1700

Data Index: 788001 (C4 (Web Text))

Max Activating Token Index: 518

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Text #1

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Max Act: 4.0535. Min Act: -0.1700

Data Index: 702888 (C4 (Web Text))

Max Activating Token Index: 1016

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Text #2

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Max Act: 4.1161. Min Act: -0.1700

Data Index: 77423 (C4 (Web Text))

Max Activating Token Index: 416

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Text #3

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Max Act: 4.0848. Min Act: -0.1700

Data Index: 193072 (C4 (Web Text))

Max Activating Token Index: 619

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Text #4

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Max Act: 4.0223. Min Act: -0.1700

Data Index: 548693 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #5

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Max Act: 4.0535. Min Act: -0.1700

Data Index: 453095 (C4 (Web Text))

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Text #6

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Data Index: 786715 (C4 (Web Text))

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Text #7

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Data Index: 286855 (C4 (Web Text))

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Text #8

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Max Act: 3.9597. Min Act: -0.1700

Data Index: 243495 (C4 (Web Text))

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Text #9

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Data Index: 1242001 (C4 (Web Text))

Max Activating Token Index: 344

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Text #10

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Text #11

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Text #12

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Data Index: 1213432 (C4 (Web Text))

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Text #13

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Data Index: 487995 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 538299 (C4 (Web Text))

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Text #18

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Data Index: 1296044 (C4 (Web Text))

Max Activating Token Index: 227

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Text #19

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Data Index: 762733 (C4 (Web Text))

Max Activating Token Index: 350

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