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

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

Neuron 1970 in Layer 1

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



Text #0

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Data Index: 1557516 (Python Code)

Max Activating Token Index: 777

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Text #1

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Data Index: 1471567 (Python Code)

Max Activating Token Index: 54

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Text #2

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Data Index: 1418053 (Python Code)

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Text #3

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Data Index: 1508639 (Python Code)

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Text #4

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Data Index: 957308 (C4 (Web Text))

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Text #5

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Data Index: 1425836 (Python Code)

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Text #7

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Text #8

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Data Index: 1562951 (Python Code)

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Text #9

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Data Index: 1577982 (Python Code)

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Text #12

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Text #14

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Text #16

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Text #17

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Text #19

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