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

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

Neuron 1844 in Layer 0

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

Text #0

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Data Index: 1414298 (Python Code)

Max Activating Token Index: 1023

Text #1

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Data Index: 1360792 (Python Code)

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Data Index: 1547729 (Python Code)

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Text #3

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Data Index: 1578995 (Python Code)

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Text #4

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Data Index: 1442102 (Python Code)

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Text #5

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Data Index: 1511146 (Python Code)

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Text #6

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Data Index: 1472700 (Python Code)

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Text #9

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Data Index: 1582839 (Python Code)

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Text #10

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Text #12

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Text #13

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Data Index: 1458806 (Python Code)

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Text #14

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Data Index: 1600979 (Python Code)

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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: 1557336 (Python Code)

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