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

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

Neuron 286 in Layer 0

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



Text #0

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Max Act: 3.0902. Min Act: -0.1700

Data Index: 1617881 (Python Code)

Max Activating Token Index: 624

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Text #1

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Data Index: 1485018 (Python Code)

Max Activating Token Index: 214

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Text #2

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Max Act: 3.0744. Min Act: -0.1700

Data Index: 1389494 (Python Code)

Max Activating Token Index: 110

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Text #3

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Max Act: 3.0586. Min Act: -0.1700

Data Index: 1441384 (Python Code)

Max Activating Token Index: 183

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Text #4

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Data Index: 769287 (C4 (Web Text))

Max Activating Token Index: 971

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Text #5

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Data Index: 1428641 (Python Code)

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Data Index: 1507333 (Python Code)

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Text #7

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Data Index: 1443925 (Python Code)

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Text #8

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Data Index: 1484484 (Python Code)

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Data Index: 1566545 (Python Code)

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Data Index: 1413865 (Python Code)

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Data Index: 1131758 (C4 (Web Text))

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Data Index: 1568082 (Python Code)

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Data Index: 1086401 (C4 (Web Text))

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Text #14

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Data Index: 1442706 (Python Code)

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Text #15

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Data Index: 1425038 (Python Code)

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Text #16

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Data Index: 712170 (C4 (Web Text))

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Text #17

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Data Index: 1479239 (Python Code)

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Data Index: 1445303 (Python Code)

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Data Index: 1625816 (Python Code)

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