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

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

Neuron 306 in Layer 0

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



Text #0

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Max Act: 2.8620. Min Act: -0.1700

Data Index: 1583374 (Python Code)

Max Activating Token Index: 7

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Text #1

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Data Index: 1377686 (Python Code)

Max Activating Token Index: 45

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Text #2

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Data Index: 573212 (C4 (Web Text))

Max Activating Token Index: 765

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Text #3

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Data Index: 1644797 (Python Code)

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Text #4

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Data Index: 1410908 (Python Code)

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Text #5

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Data Index: 1540854 (Python Code)

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Text #6

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Data Index: 852189 (C4 (Web Text))

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Text #7

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Data Index: 1613343 (Python Code)

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Text #8

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Data Index: 1390937 (Python Code)

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Text #9

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Data Index: 1651646 (Python Code)

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Text #10

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Data Index: 1455039 (Python Code)

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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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Data Index: 1594923 (Python Code)

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Text #19

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Data Index: 1565431 (Python Code)

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