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

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

Neuron 2005 in Layer 0

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



Text #0

Max Range: 3.0462. Min Range: -3.0462

Max Act: 3.0462. Min Act: -0.1700

Data Index: 1561905 (Python Code)

Max Activating Token Index: 298

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Text #1

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Max Act: 3.0462. Min Act: -0.1700

Data Index: 1527204 (Python Code)

Max Activating Token Index: 871

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Max Act: 3.0304. Min Act: -0.1700

Data Index: 1531645 (Python Code)

Max Activating Token Index: 96

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Text #3

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Max Act: 3.0146. Min Act: -0.1700

Data Index: 1390386 (Python Code)

Max Activating Token Index: 607

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Data Index: 1439308 (Python Code)

Max Activating Token Index: 925

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Data Index: 1627293 (Python Code)

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Data Index: 1394588 (Python Code)

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Text #7

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Data Index: 1566569 (Python Code)

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Data Index: 1516473 (Python Code)

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Data Index: 1629918 (Python Code)

Max Activating Token Index: 203

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Data Index: 1379850 (Python Code)

Max Activating Token Index: 820

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Data Index: 1586091 (Python Code)

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Data Index: 1575841 (Python Code)

Max Activating Token Index: 988

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Data Index: 1553508 (Python Code)

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Text #14

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Data Index: 1359876 (Python Code)

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Data Index: 1558660 (Python Code)

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Text #16

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Data Index: 1563412 (Python Code)

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Text #17

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Data Index: 1411899 (Python Code)

Max Activating Token Index: 761

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Data Index: 1633082 (Python Code)

Max Activating Token Index: 729

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Data Index: 1391784 (Python Code)

Max Activating Token Index: 280

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