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

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

Neuron 653 in Layer 1

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



Text #0

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Max Act: 4.8684. Min Act: -0.1700

Data Index: 1185930 (C4 (Web Text))

Max Activating Token Index: 141

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Text #1

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Data Index: 1449529 (Python Code)

Max Activating Token Index: 815

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Data Index: 1619158 (Python Code)

Max Activating Token Index: 527

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Text #3

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Data Index: 1411398 (Python Code)

Max Activating Token Index: 683

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Data Index: 1510112 (Python Code)

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Data Index: 1398283 (Python Code)

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Data Index: 1551415 (Python Code)

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Data Index: 1397635 (Python Code)

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Text #8

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Data Index: 1555180 (Python Code)

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Text #9

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Data Index: 1561061 (Python Code)

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Text #12

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Data Index: 606874 (C4 (Web Text))

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Text #14

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Text #16

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