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

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

Neuron 1452 in Layer 1

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



Text #0

Max Range: 4.4309. Min Range: -4.4309

Max Act: 4.4309. Min Act: -0.1700

Data Index: 91542 (C4 (Web Text))

Max Activating Token Index: 344

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Text #1

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Max Act: 4.2434. Min Act: -0.1699

Data Index: 1057769 (C4 (Web Text))

Max Activating Token Index: 890

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Text #2

Max Range: 4.4309. Min Range: -4.4309

Max Act: 4.2121. Min Act: -0.1700

Data Index: 1361760 (Python Code)

Max Activating Token Index: 20

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Text #3

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Max Act: 4.1809. Min Act: -0.1700

Data Index: 1403207 (Python Code)

Max Activating Token Index: 466

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Text #4

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Max Act: 4.1184. Min Act: -0.1700

Data Index: 1452193 (Python Code)

Max Activating Token Index: 239

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Text #5

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Data Index: 1447432 (Python Code)

Max Activating Token Index: 4

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Text #6

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Data Index: 1522052 (Python Code)

Max Activating Token Index: 559

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Text #7

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Data Index: 1403163 (Python Code)

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Text #8

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Data Index: 1650847 (Python Code)

Max Activating Token Index: 598

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Text #9

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Data Index: 1471457 (Python Code)

Max Activating Token Index: 2

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Text #10

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Data Index: 1564670 (Python Code)

Max Activating Token Index: 658

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Text #11

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Data Index: 1482218 (Python Code)

Max Activating Token Index: 649

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Text #12

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Data Index: 1636602 (Python Code)

Max Activating Token Index: 396

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Text #13

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Data Index: 1428099 (Python Code)

Max Activating Token Index: 373

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Text #14

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Data Index: 1623729 (Python Code)

Max Activating Token Index: 6

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Text #15

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Data Index: 1555096 (Python Code)

Max Activating Token Index: 590

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Text #16

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Data Index: 1441712 (Python Code)

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Text #17

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Data Index: 1621381 (Python Code)

Max Activating Token Index: 356

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Text #18

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Data Index: 1555952 (Python Code)

Max Activating Token Index: 719

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Text #19

Max Range: 4.4309. Min Range: -4.4309

Max Act: 4.0246. Min Act: -0.1700

Data Index: 1405019 (Python Code)

Max Activating Token Index: 893

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