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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 69 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 3.5843. Min Range: -3.5843

Max Act: 3.5843. Min Act: -0.1700

Data Index: 948357 (C4 (Web Text))

Max Activating Token Index: 146

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Text #1

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Max Act: 3.5216. Min Act: -0.1700

Data Index: 1005569 (C4 (Web Text))

Max Activating Token Index: 185

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Text #2

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Max Act: 3.4903. Min Act: -0.1700

Data Index: 873858 (C4 (Web Text))

Max Activating Token Index: 815

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Text #3

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Max Act: 3.4589. Min Act: -0.1700

Data Index: 366367 (C4 (Web Text))

Max Activating Token Index: 146

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Text #4

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Max Act: 3.4589. Min Act: -0.1700

Data Index: 187904 (C4 (Web Text))

Max Activating Token Index: 839

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Text #5

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Max Act: 3.4589. Min Act: -0.1700

Data Index: 895203 (C4 (Web Text))

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Text #6

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Data Index: 1278844 (C4 (Web Text))

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Text #7

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Data Index: 416550 (C4 (Web Text))

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Text #8

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Max Act: 3.4589. Min Act: -0.1700

Data Index: 964697 (C4 (Web Text))

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Text #9

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Data Index: 692074 (C4 (Web Text))

Max Activating Token Index: 435

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Text #10

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Data Index: 280775 (C4 (Web Text))

Max Activating Token Index: 199

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Text #11

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Data Index: 698344 (C4 (Web Text))

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Text #12

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Data Index: 146538 (C4 (Web Text))

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Text #13

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Data Index: 961653 (C4 (Web Text))

Max Activating Token Index: 286

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Text #14

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Text #15

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Data Index: 117719 (C4 (Web Text))

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Text #16

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Data Index: 796538 (C4 (Web Text))

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Text #17

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Data Index: 106343 (C4 (Web Text))

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Text #18

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Max Act: 3.3962. Min Act: -0.1700

Data Index: 161873 (C4 (Web Text))

Max Activating Token Index: 988

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Text #19

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Max Act: 3.3962. Min Act: -0.1700

Data Index: 529890 (C4 (Web Text))

Max Activating Token Index: 459

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