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

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

Neuron 2001 in Layer 0

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 3.0827. Min Range: -3.0827

Max Act: 3.0827. Min Act: -0.1700

Data Index: 1419058 (Python Code)

Max Activating Token Index: 823

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Text #1

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Max Act: 3.0354. Min Act: -0.1700

Data Index: 1511834 (Python Code)

Max Activating Token Index: 307

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Text #2

Max Range: 3.0827. Min Range: -3.0827

Max Act: 3.0038. Min Act: -0.1700

Data Index: 1532996 (Python Code)

Max Activating Token Index: 655

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Text #3

Max Range: 3.0827. Min Range: -3.0827

Max Act: 3.0038. Min Act: -0.1700

Data Index: 1631292 (Python Code)

Max Activating Token Index: 45

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Text #4

Max Range: 3.0827. Min Range: -3.0827

Max Act: 2.9880. Min Act: -0.1700

Data Index: 1114975 (C4 (Web Text))

Max Activating Token Index: 741

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Text #5

Max Range: 3.0827. Min Range: -3.0827

Max Act: 2.9880. Min Act: -0.1700

Data Index: 1510321 (Python Code)

Max Activating Token Index: 854

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Text #6

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Max Act: 2.9880. Min Act: -0.1700

Data Index: 915850 (C4 (Web Text))

Max Activating Token Index: 544

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Text #7

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Max Act: 2.9722. Min Act: -0.1700

Data Index: 1538428 (Python Code)

Max Activating Token Index: 517

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Text #8

Max Range: 3.0827. Min Range: -3.0827

Max Act: 2.9563. Min Act: -0.1700

Data Index: 1309150 (C4 (Web Text))

Max Activating Token Index: 308

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Text #9

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Max Act: 2.9405. Min Act: -0.1700

Data Index: 1373785 (Python Code)

Max Activating Token Index: 298

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Text #10

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Data Index: 1468736 (Python Code)

Max Activating Token Index: 23

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Text #11

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Max Act: 2.9563. Min Act: -0.1700

Data Index: 1509508 (Python Code)

Max Activating Token Index: 768

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Text #12

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Data Index: 1308801 (C4 (Web Text))

Max Activating Token Index: 955

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Text #13

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Max Act: 2.9088. Min Act: -0.1700

Data Index: 1621727 (Python Code)

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Text #14

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Max Act: 2.8929. Min Act: -0.1700

Data Index: 631703 (C4 (Web Text))

Max Activating Token Index: 187

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Text #15

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Data Index: 245558 (C4 (Web Text))

Max Activating Token Index: 45

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Text #16

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Data Index: 1544881 (Python Code)

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Text #17

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Max Act: 2.8929. Min Act: -0.1700

Data Index: 1446105 (Python Code)

Max Activating Token Index: 278

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Text #18

Max Range: 3.0827. Min Range: -3.0827

Max Act: 2.8929. Min Act: -0.1700

Data Index: 1457692 (Python Code)

Max Activating Token Index: 193

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Text #19

Max Range: 3.0827. Min Range: -3.0827

Max Act: 2.8771. Min Act: -0.1700

Data Index: 114434 (C4 (Web Text))

Max Activating Token Index: 945

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