Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1732 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')

Text #0

Max Range: 3.5562. Min Range: -3.5562

Max Act: 3.5562. Min Act: -0.1700

Data Index: 1492190 (Python Code)

Max Activating Token Index: 608

Text #1

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Max Act: 3.5562. Min Act: -0.1700

Data Index: 1489893 (Python Code)

Max Activating Token Index: 611

Text #2

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Max Act: 3.5249. Min Act: -0.1700

Data Index: 1549212 (Python Code)

Max Activating Token Index: 868

Text #3

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Max Act: 3.4779. Min Act: -0.1700

Data Index: 453634 (C4 (Web Text))

Max Activating Token Index: 160

Text #4

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Max Act: 3.4465. Min Act: -0.1700

Data Index: 1561428 (Python Code)

Max Activating Token Index: 281

Text #5

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Max Act: 3.4622. Min Act: -0.1700

Data Index: 1608084 (Python Code)

Max Activating Token Index: 44

Text #6

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Data Index: 1583993 (Python Code)

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Text #7

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Data Index: 1554008 (Python Code)

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Text #8

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Data Index: 1640643 (Python Code)

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Text #9

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Data Index: 1474012 (Python Code)

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Text #10

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Data Index: 1507961 (Python Code)

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Text #11

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Data Index: 1378073 (Python Code)

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Text #12

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Data Index: 1504048 (Python Code)

Max Activating Token Index: 487

Text #13

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Data Index: 1400167 (Python Code)

Max Activating Token Index: 752

Text #14

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Data Index: 1409236 (Python Code)

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Text #15

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Data Index: 1500714 (Python Code)

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Text #16

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Data Index: 1376609 (Python Code)

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Text #17

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Data Index: 1585244 (Python Code)

Max Activating Token Index: 272

Text #18

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Data Index: 1483729 (Python Code)

Max Activating Token Index: 769

Text #19

Max Range: 3.5562. Min Range: -3.5562

Max Act: 3.3995. Min Act: -0.1700

Data Index: 1556435 (Python Code)

Max Activating Token Index: 866