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

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

Neuron 2030 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: 3.3214. Min Range: -3.3214

Max Act: 3.3214. Min Act: -0.1700

Data Index: 875870 (C4 (Web Text))

Max Activating Token Index: 230

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Text #1

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Max Act: 3.3057. Min Act: -0.1700

Data Index: 1033263 (C4 (Web Text))

Max Activating Token Index: 864

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Text #2

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Max Act: 3.3214. Min Act: -0.1700

Data Index: 179377 (C4 (Web Text))

Max Activating Token Index: 540

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Text #3

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Max Act: 3.2899. Min Act: -0.1700

Data Index: 1223074 (C4 (Web Text))

Max Activating Token Index: 699

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Text #4

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Data Index: 83328 (C4 (Web Text))

Max Activating Token Index: 958

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Text #5

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Data Index: 256819 (C4 (Web Text))

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Text #6

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Data Index: 168881 (C4 (Web Text))

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Text #7

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Data Index: 80809 (C4 (Web Text))

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Text #8

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Data Index: 709162 (C4 (Web Text))

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Text #9

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Data Index: 595098 (C4 (Web Text))

Max Activating Token Index: 165

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Text #10

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Data Index: 1308298 (C4 (Web Text))

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Text #11

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Data Index: 777709 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 274925 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 784621 (C4 (Web Text))

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Text #16

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Data Index: 111043 (C4 (Web Text))

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Text #17

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Data Index: 194158 (C4 (Web Text))

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Text #18

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Data Index: 27860 (C4 (Web Text))

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Text #19

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Data Index: 230941 (C4 (Web Text))

Max Activating Token Index: 807

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