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

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

Neuron 437 in Layer 0

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



Text #0

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Data Index: 1576048 (Python Code)

Max Activating Token Index: 194

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Text #1

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Data Index: 1615537 (Python Code)

Max Activating Token Index: 341

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Data Index: 1646107 (Python Code)

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Text #3

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Data Index: 1368120 (Python Code)

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Data Index: 1404314 (Python Code)

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Data Index: 1460086 (Python Code)

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Data Index: 1649032 (Python Code)

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Data Index: 1522460 (Python Code)

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Data Index: 1557262 (Python Code)

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Data Index: 1518655 (Python Code)

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Data Index: 1395257 (Python Code)

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Text #14

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Data Index: 1346066 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1651600 (Python Code)

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Text #18

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Data Index: 1401025 (Python Code)

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Data Index: 1386468 (Python Code)

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