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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1892 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

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Max Act: 4.6613. Min Act: -0.1700

Data Index: 1549982 (Python Code)

Max Activating Token Index: 879

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Text #1

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Max Act: 4.5988. Min Act: -0.1700

Data Index: 1561864 (Python Code)

Max Activating Token Index: 734

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Text #2

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Max Act: 4.5050. Min Act: -0.1700

Data Index: 710996 (C4 (Web Text))

Max Activating Token Index: 756

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Text #3

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Data Index: 1539438 (Python Code)

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Data Index: 1601497 (Python Code)

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Data Index: 1642878 (Python Code)

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Data Index: 1593211 (Python Code)

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Text #7

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Data Index: 1451815 (Python Code)

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Text #8

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Data Index: 1543281 (Python Code)

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Text #9

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Data Index: 1532794 (Python Code)

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Text #10

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Data Index: 1513096 (Python Code)

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Text #11

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Data Index: 1486964 (Python Code)

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Text #14

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Text #15

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Data Index: 1250626 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1395580 (Python Code)

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Text #19

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Data Index: 1624180 (Python Code)

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