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

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

Neuron 581 in Layer 0

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

Text #0

Max Range: 6.2686. Min Range: -6.2686

Max Act: 6.2686. Min Act: -0.1700

Data Index: 1372470 (Python Code)

Max Activating Token Index: 244

Text #1

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Data Index: 1323574 (C4 (Web Text))

Max Activating Token Index: 904

Text #2

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Max Act: 5.9249. Min Act: -0.1700

Data Index: 1423316 (Python Code)

Max Activating Token Index: 32

Text #3

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Max Act: 5.8936. Min Act: -0.1700

Data Index: 229849 (C4 (Web Text))

Max Activating Token Index: 106

Text #4

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Data Index: 157390 (C4 (Web Text))

Max Activating Token Index: 785

Text #5

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Data Index: 1075609 (C4 (Web Text))

Max Activating Token Index: 503

Text #6

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Max Activating Token Index: 862

Text #7

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Max Activating Token Index: 10

Text #8

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Data Index: 1441079 (Python Code)

Max Activating Token Index: 3

Text #9

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Data Index: 1456205 (Python Code)

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Text #10

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Data Index: 1649682 (Python Code)

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Text #11

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Data Index: 1598317 (Python Code)

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Text #12

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Data Index: 1471146 (Python Code)

Max Activating Token Index: 2

Text #13

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Data Index: 1389664 (Python Code)

Max Activating Token Index: 7

Text #14

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Data Index: 1411104 (Python Code)

Max Activating Token Index: 2

Text #15

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Data Index: 1651865 (Python Code)

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Text #16

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Data Index: 1494699 (Python Code)

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Text #17

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Data Index: 1518387 (Python Code)

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Text #18

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Data Index: 1193272 (C4 (Web Text))

Max Activating Token Index: 167

Text #19

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Data Index: 1049527 (C4 (Web Text))

Max Activating Token Index: 782