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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 145 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Max Act: 3.3968. Min Act: -0.1700

Data Index: 1398894 (Python Code)

Max Activating Token Index: 12

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Text #1

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Data Index: 1573627 (Python Code)

Max Activating Token Index: 347

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Data Index: 1561158 (Python Code)

Max Activating Token Index: 342

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Text #3

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Data Index: 56808 (C4 (Web Text))

Max Activating Token Index: 21

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Data Index: 1623517 (Python Code)

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Data Index: 1431599 (Python Code)

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Data Index: 1472970 (Python Code)

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Text #7

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Text #8

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Data Index: 745239 (C4 (Web Text))

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Text #9

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Data Index: 1602099 (Python Code)

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Data Index: 1388527 (Python Code)

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Text #11

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Text #14

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Text #16

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Data Index: 1366177 (Python Code)

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Text #17

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Data Index: 1653843 (Python Code)

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Data Index: 1498552 (Python Code)

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Data Index: 1559164 (Python Code)

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