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

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

Neuron 1743 in Layer 0

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



Text #0

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Max Act: 3.2126. Min Act: -0.1700

Data Index: 1624496 (Python Code)

Max Activating Token Index: 243

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Text #1

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Max Act: 3.1024. Min Act: -0.1700

Data Index: 1371517 (Python Code)

Max Activating Token Index: 486

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Text #2

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Max Act: 3.1024. Min Act: -0.1700

Data Index: 1514653 (Python Code)

Max Activating Token Index: 223

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Text #3

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Max Act: 3.0866. Min Act: -0.1700

Data Index: 1536340 (Python Code)

Max Activating Token Index: 437

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Data Index: 1388877 (Python Code)

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Data Index: 1423020 (Python Code)

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Data Index: 1554573 (Python Code)

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Data Index: 1375998 (Python Code)

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Text #8

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Data Index: 943171 (C4 (Web Text))

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Data Index: 1428267 (Python Code)

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Data Index: 1621658 (Python Code)

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Text #13

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Data Index: 244695 (C4 (Web Text))

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Text #14

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Text #16

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Text #17

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Data Index: 1637472 (Python Code)

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Data Index: 1587154 (Python Code)

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Data Index: 1433361 (Python Code)

Max Activating Token Index: 1003

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