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

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

Neuron 6 in Layer 1

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



Text #0

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Data Index: 1537836 (Python Code)

Max Activating Token Index: 523

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Text #1

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Data Index: 1649089 (Python Code)

Max Activating Token Index: 440

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Text #2

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Data Index: 1406050 (Python Code)

Max Activating Token Index: 474

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Text #3

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Data Index: 1570986 (Python Code)

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Data Index: 1568521 (Python Code)

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Data Index: 1402679 (Python Code)

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Data Index: 1414812 (Python Code)

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Text #9

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Data Index: 1597395 (Python Code)

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Text #13

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Text #14

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Text #16

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Text #17

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