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

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

Neuron 1755 in Layer 2

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



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Max Range: 4.3258. Min Range: -4.3258

Max Act: 4.3258. Min Act: -0.1700

Data Index: 599743 (C4 (Web Text))

Max Activating Token Index: 508

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Text #1

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Max Act: 4.1383. Min Act: -0.1700

Data Index: 1618839 (Python Code)

Max Activating Token Index: 311

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Max Act: 4.1070. Min Act: -0.1700

Data Index: 1655277 (Python Code)

Max Activating Token Index: 172

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Max Act: 4.0757. Min Act: -0.1700

Data Index: 1570255 (Python Code)

Max Activating Token Index: 204

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Data Index: 1420029 (Python Code)

Max Activating Token Index: 211

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Data Index: 1556656 (Python Code)

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Data Index: 1516463 (Python Code)

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Text #7

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Data Index: 1475935 (Python Code)

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Text #8

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Data Index: 1447854 (Python Code)

Max Activating Token Index: 803

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Data Index: 1414677 (Python Code)

Max Activating Token Index: 483

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Data Index: 329445 (C4 (Web Text))

Max Activating Token Index: 927

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Text #11

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Data Index: 1551711 (Python Code)

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Data Index: 1444560 (Python Code)

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Data Index: 1404360 (Python Code)

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Text #14

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Data Index: 1492739 (Python Code)

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Data Index: 1440313 (Python Code)

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Text #16

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Text #17

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Data Index: 1476961 (Python Code)

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Data Index: 1497213 (Python Code)

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Data Index: 1534971 (Python Code)

Max Activating Token Index: 473

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