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

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

Neuron 2001 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: 3.6037. Min Act: -0.1700

Data Index: 230752 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 297178 (C4 (Web Text))

Max Activating Token Index: 755

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Text #2

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Max Act: 3.5410. Min Act: -0.1700

Data Index: 1256841 (C4 (Web Text))

Max Activating Token Index: 191

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Text #3

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Data Index: 1100128 (C4 (Web Text))

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Text #4

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Data Index: 506442 (C4 (Web Text))

Max Activating Token Index: 726

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Text #5

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Text #6

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Data Index: 79149 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1125625 (C4 (Web Text))

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Text #9

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Data Index: 879304 (C4 (Web Text))

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Text #10

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Data Index: 1153895 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1003349 (C4 (Web Text))

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Text #13

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Data Index: 1307848 (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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Text #18

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Data Index: 801052 (C4 (Web Text))

Max Activating Token Index: 616

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Text #19

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Data Index: 118483 (C4 (Web Text))

Max Activating Token Index: 212

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