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

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

Neuron 1594 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 6.1514. Min Range: -6.1514

Max Act: 6.1514. Min Act: -0.1700

Data Index: 734974 (C4 (Web Text))

Max Activating Token Index: 482

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Text #1

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Max Act: 5.9014. Min Act: -0.1700

Data Index: 1644504 (Python Code)

Max Activating Token Index: 960

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Text #2

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Max Act: 5.7452. Min Act: -0.1700

Data Index: 780665 (C4 (Web Text))

Max Activating Token Index: 647

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Text #3

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Max Act: 5.5889. Min Act: -0.1700

Data Index: 1316886 (C4 (Web Text))

Max Activating Token Index: 822

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Text #4

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Max Act: 5.4327. Min Act: -0.1700

Data Index: 1411428 (Python Code)

Max Activating Token Index: 630

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Text #5

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Max Act: 5.3702. Min Act: -0.1700

Data Index: 837753 (C4 (Web Text))

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Text #6

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Data Index: 1353086 (C4 (Web Text))

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Text #7

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Data Index: 212197 (C4 (Web Text))

Max Activating Token Index: 956

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Text #8

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Max Act: 5.2139. Min Act: -0.1700

Data Index: 592344 (C4 (Web Text))

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Text #9

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Data Index: 621666 (C4 (Web Text))

Max Activating Token Index: 905

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Text #10

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Data Index: 133543 (C4 (Web Text))

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Text #11

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Data Index: 700285 (C4 (Web Text))

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Text #12

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Data Index: 234789 (C4 (Web Text))

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Text #13

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Data Index: 224661 (C4 (Web Text))

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Text #14

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Data Index: 648378 (C4 (Web Text))

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Text #15

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Max Act: 5.0577. Min Act: -0.1700

Data Index: 958556 (C4 (Web Text))

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Text #16

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Data Index: 217061 (C4 (Web Text))

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Text #17

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Data Index: 926584 (C4 (Web Text))

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Text #18

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Max Act: 4.9952. Min Act: -0.1700

Data Index: 99656 (C4 (Web Text))

Max Activating Token Index: 165

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Text #19

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Max Act: 4.9952. Min Act: -0.1700

Data Index: 1461255 (Python Code)

Max Activating Token Index: 304

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