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

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

Neuron 256 in Layer 0

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

Text #0

Max Range: 3.1873. Min Range: -3.1873

Max Act: 3.1873. Min Act: -0.1693

Data Index: 1641693 (Python Code)

Max Activating Token Index: 314

Text #1

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Max Act: 3.1873. Min Act: -0.1700

Data Index: 1466331 (Python Code)

Max Activating Token Index: 20

Text #2

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Max Act: 3.0771. Min Act: -0.1700

Data Index: 1418651 (Python Code)

Max Activating Token Index: 10

Text #3

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Max Act: 3.0928. Min Act: -0.1699

Data Index: 1603738 (Python Code)

Max Activating Token Index: 283

Text #4

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Max Act: 3.0928. Min Act: -0.1699

Data Index: 1491824 (Python Code)

Max Activating Token Index: 255

Text #5

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Max Act: 3.0928. Min Act: -0.1699

Data Index: 1483298 (Python Code)

Max Activating Token Index: 186

Text #6

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Data Index: 1391549 (Python Code)

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Text #7

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Data Index: 1369625 (Python Code)

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Text #8

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Data Index: 1623870 (Python Code)

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Text #9

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Data Index: 1564512 (Python Code)

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Text #10

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Data Index: 1586121 (Python Code)

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Text #11

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Data Index: 1499909 (Python Code)

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Text #12

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Data Index: 1568785 (Python Code)

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Text #13

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Data Index: 1386141 (Python Code)

Max Activating Token Index: 21

Text #14

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Data Index: 1643064 (Python Code)

Max Activating Token Index: 41

Text #15

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Max Act: 3.0297. Min Act: -0.1699

Data Index: 1416896 (Python Code)

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Text #16

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Data Index: 1488950 (Python Code)

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Text #17

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Data Index: 1500141 (Python Code)

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Text #18

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Max Act: 3.0139. Min Act: -0.1700

Data Index: 1596148 (Python Code)

Max Activating Token Index: 650

Text #19

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Max Act: 3.0297. Min Act: -0.1699

Data Index: 1361759 (Python Code)

Max Activating Token Index: 36