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

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

Neuron 871 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Data Index: 1363609 (Python Code)

Max Activating Token Index: 465

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Text #1

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Data Index: 1487785 (Python Code)

Max Activating Token Index: 817

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Data Index: 1443848 (Python Code)

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Text #3

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Data Index: 1639398 (Python Code)

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Data Index: 1472643 (Python Code)

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Data Index: 1537220 (Python Code)

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Data Index: 1545557 (Python Code)

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Text #7

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Data Index: 1043980 (C4 (Web Text))

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Text #8

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Data Index: 1634026 (Python Code)

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Data Index: 1643968 (Python Code)

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Text #12

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Data Index: 969177 (C4 (Web Text))

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Text #16

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Text #19

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Data Index: 1607824 (Python Code)

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