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

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

Neuron 1991 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 5.9589. Min Act: -0.1700

Data Index: 1138545 (C4 (Web Text))

Max Activating Token Index: 904

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Text #1

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Data Index: 644240 (C4 (Web Text))

Max Activating Token Index: 378

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Text #2

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Max Act: 5.6464. Min Act: -0.1700

Data Index: 1342818 (C4 (Web Text))

Max Activating Token Index: 279

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Text #3

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Data Index: 930772 (C4 (Web Text))

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Text #4

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Data Index: 408107 (C4 (Web Text))

Max Activating Token Index: 922

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Text #5

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Text #6

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Data Index: 1241106 (C4 (Web Text))

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Text #7

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Data Index: 1282515 (C4 (Web Text))

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Text #8

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Data Index: 547609 (C4 (Web Text))

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Text #9

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Data Index: 254075 (C4 (Web Text))

Max Activating Token Index: 407

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Text #10

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Text #11

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Text #12

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Data Index: 1137407 (C4 (Web Text))

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Text #13

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Data Index: 907869 (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: 24059 (C4 (Web Text))

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Text #18

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Data Index: 397620 (C4 (Web Text))

Max Activating Token Index: 400

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Text #19

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Data Index: 598178 (C4 (Web Text))

Max Activating Token Index: 849

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