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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 3

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 7.4339. Min Range: -7.4339

Max Act: 7.4339. Min Act: -0.1700

Data Index: 44242 (C4 (Web Text))

Max Activating Token Index: 866

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Text #1

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Max Act: 7.2152. Min Act: -0.1700

Data Index: 187920 (C4 (Web Text))

Max Activating Token Index: 461

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Text #2

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Max Act: 7.1527. Min Act: -0.1700

Data Index: 365552 (C4 (Web Text))

Max Activating Token Index: 311

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Text #3

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Max Act: 7.0902. Min Act: -0.1700

Data Index: 1183685 (C4 (Web Text))

Max Activating Token Index: 210

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Text #4

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Max Act: 7.1214. Min Act: -0.1700

Data Index: 539374 (C4 (Web Text))

Max Activating Token Index: 801

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Text #5

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Data Index: 902744 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 184786 (C4 (Web Text))

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Text #9

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Data Index: 1182067 (C4 (Web Text))

Max Activating Token Index: 405

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Data Index: 286637 (C4 (Web Text))

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Text #17

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Text #18

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Data Index: 1314381 (C4 (Web Text))

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Text #19

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Data Index: 295 (C4 (Web Text))

Max Activating Token Index: 166

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