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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 2015 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

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Data Index: 1502252 (Python Code)

Max Activating Token Index: 617

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Text #1

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Data Index: 1387650 (Python Code)

Max Activating Token Index: 329

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Text #2

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Data Index: 1437809 (Python Code)

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Text #3

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Data Index: 1602585 (Python Code)

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Text #7

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Text #9

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Text #11

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Text #14

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