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

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

Neuron 402 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.0438. Min Range: -4.0438

Max Act: 4.0126. Min Act: -0.1700

Data Index: 651430 (C4 (Web Text))

Max Activating Token Index: 416

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Text #1

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Max Act: 3.9657. Min Act: -0.1700

Data Index: 314884 (C4 (Web Text))

Max Activating Token Index: 434

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Text #2

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Max Act: 4.0438. Min Act: -0.1700

Data Index: 1091594 (C4 (Web Text))

Max Activating Token Index: 375

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Text #3

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Max Act: 3.9813. Min Act: -0.1700

Data Index: 413071 (C4 (Web Text))

Max Activating Token Index: 900

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Text #4

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Max Act: 3.9813. Min Act: -0.1700

Data Index: 43642 (C4 (Web Text))

Max Activating Token Index: 971

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Text #5

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Max Act: 3.9344. Min Act: -0.1700

Data Index: 1353281 (C4 (Web Text))

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Text #6

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Data Index: 219752 (C4 (Web Text))

Max Activating Token Index: 460

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Text #7

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Data Index: 363699 (C4 (Web Text))

Max Activating Token Index: 803

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Text #8

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Data Index: 1042821 (C4 (Web Text))

Max Activating Token Index: 404

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Text #9

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Max Act: 3.9031. Min Act: -0.1700

Data Index: 435689 (C4 (Web Text))

Max Activating Token Index: 737

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Text #10

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Data Index: 1106022 (C4 (Web Text))

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Text #11

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Data Index: 1322378 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 1563146 (Python Code)

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Text #14

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Data Index: 473326 (C4 (Web Text))

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Text #15

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Data Index: 1321989 (C4 (Web Text))

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Text #16

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Data Index: 1011399 (C4 (Web Text))

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Text #17

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Max Act: 3.7624. Min Act: -0.1700

Data Index: 1312827 (C4 (Web Text))

Max Activating Token Index: 460

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Text #18

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Max Act: 3.7311. Min Act: -0.1700

Data Index: 394988 (C4 (Web Text))

Max Activating Token Index: 191

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Text #19

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Max Act: 3.7311. Min Act: -0.1700

Data Index: 464440 (C4 (Web Text))

Max Activating Token Index: 177

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