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

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

Neuron 28 in Layer 1

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



Text #0

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Data Index: 1448623 (Python Code)

Max Activating Token Index: 214

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Text #1

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Data Index: 1585675 (Python Code)

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Data Index: 1623486 (Python Code)

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Data Index: 1452441 (Python Code)

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Data Index: 1395013 (Python Code)

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Data Index: 1455307 (Python Code)

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Data Index: 1620749 (Python Code)

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Data Index: 1587075 (Python Code)

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Text #14

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Text #16

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Data Index: 1649627 (Python Code)

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