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

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

Neuron 768 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: 4.9007. Min Range: -4.9007

Max Act: 4.9007. Min Act: -0.1700

Data Index: 144926 (C4 (Web Text))

Max Activating Token Index: 829

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Text #1

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Max Act: 4.8070. Min Act: -0.1700

Data Index: 278651 (C4 (Web Text))

Max Activating Token Index: 305

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Text #2

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Max Act: 4.8382. Min Act: -0.1700

Data Index: 1628808 (Python Code)

Max Activating Token Index: 928

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Text #3

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Max Act: 4.7445. Min Act: -0.1700

Data Index: 1574636 (Python Code)

Max Activating Token Index: 969

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Text #4

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Max Act: 4.7132. Min Act: -0.1700

Data Index: 1494020 (Python Code)

Max Activating Token Index: 997

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Text #5

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Data Index: 1489867 (Python Code)

Max Activating Token Index: 678

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Text #6

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Data Index: 1631326 (Python Code)

Max Activating Token Index: 673

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Text #7

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Data Index: 1529464 (Python Code)

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Text #8

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Data Index: 1436881 (Python Code)

Max Activating Token Index: 403

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Text #9

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Data Index: 1465165 (Python Code)

Max Activating Token Index: 447

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Text #10

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Data Index: 1408695 (Python Code)

Max Activating Token Index: 554

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Text #11

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Data Index: 1534994 (Python Code)

Max Activating Token Index: 408

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Text #12

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Data Index: 1577510 (Python Code)

Max Activating Token Index: 460

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Text #13

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Data Index: 1499944 (Python Code)

Max Activating Token Index: 267

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Text #14

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Data Index: 1600522 (Python Code)

Max Activating Token Index: 833

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Text #15

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Data Index: 1591806 (Python Code)

Max Activating Token Index: 252

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Text #16

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Text #17

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Data Index: 1537047 (Python Code)

Max Activating Token Index: 115

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Text #18

Max Range: 4.9007. Min Range: -4.9007

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Data Index: 1536513 (Python Code)

Max Activating Token Index: 487

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Text #19

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Max Act: 4.6195. Min Act: -0.1700

Data Index: 1459789 (Python Code)

Max Activating Token Index: 515

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