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

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

Neuron 163 in Layer 1

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



Text #0

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Data Index: 1410076 (Python Code)

Max Activating Token Index: 773

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Text #1

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Data Index: 1624835 (Python Code)

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Text #2

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Data Index: 1644449 (Python Code)

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Text #3

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Data Index: 1613226 (Python Code)

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Data Index: 1568357 (Python Code)

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Data Index: 1624670 (Python Code)

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Text #6

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Data Index: 868240 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1601495 (Python Code)

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Text #9

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Data Index: 1426173 (Python Code)

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Text #10

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Data Index: 1355188 (C4 (Web Text))

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Text #11

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Text #14

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Text #16

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Text #17

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Text #18

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Data Index: 1480250 (Python Code)

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Data Index: 1548166 (Python Code)

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