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

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

Neuron 20 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.8996. Min Act: -0.1700

Data Index: 1236994 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 2.8837. Min Act: -0.1700

Data Index: 285010 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 2.8678. Min Act: -0.1700

Data Index: 74524 (C4 (Web Text))

Max Activating Token Index: 795

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Text #3

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Max Act: 2.8360. Min Act: -0.1700

Data Index: 306598 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #4

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Max Act: 2.8360. Min Act: -0.1700

Data Index: 1304231 (C4 (Web Text))

Max Activating Token Index: 844

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Text #5

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Data Index: 669409 (C4 (Web Text))

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Text #6

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Data Index: 960551 (C4 (Web Text))

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Text #7

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Data Index: 867715 (C4 (Web Text))

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Text #8

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Max Act: 2.8360. Min Act: -0.1700

Data Index: 1105032 (C4 (Web Text))

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Text #9

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Data Index: 1137096 (C4 (Web Text))

Max Activating Token Index: 926

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Text #10

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Data Index: 830759 (C4 (Web Text))

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Text #11

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Data Index: 327790 (C4 (Web Text))

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Text #12

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Data Index: 614314 (C4 (Web Text))

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Text #13

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Data Index: 1082278 (C4 (Web Text))

Max Activating Token Index: 641

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Text #14

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Data Index: 1078601 (C4 (Web Text))

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Text #15

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Data Index: 1222605 (C4 (Web Text))

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Text #16

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Data Index: 407215 (C4 (Web Text))

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Text #17

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Data Index: 1047808 (C4 (Web Text))

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Text #18

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Max Act: 2.7564. Min Act: -0.1700

Data Index: 986251 (C4 (Web Text))

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Text #19

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Max Act: 2.7564. Min Act: -0.1700

Data Index: 515333 (C4 (Web Text))

Max Activating Token Index: 603

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