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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 185 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Data Index: 1498623 (Python Code)

Max Activating Token Index: 720

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Text #1

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Data Index: 1383957 (Python Code)

Max Activating Token Index: 811

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Text #2

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Data Index: 1366706 (Python Code)

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Text #3

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Data Index: 293658 (C4 (Web Text))

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Data Index: 1655231 (Python Code)

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Data Index: 1650237 (Python Code)

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Data Index: 518386 (C4 (Web Text))

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Text #7

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Data Index: 1591328 (Python Code)

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Text #8

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Data Index: 1513533 (Python Code)

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Text #9

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Data Index: 1411851 (Python Code)

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Data Index: 1121843 (C4 (Web Text))

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Text #11

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1559841 (Python Code)

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