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

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

Neuron 2 in Layer 0

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



Text #0

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Max Act: 2.7056. Min Act: -0.1700

Data Index: 1428485 (Python Code)

Max Activating Token Index: 659

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Text #1

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Max Act: 2.5611. Min Act: -0.1700

Data Index: 1450412 (Python Code)

Max Activating Token Index: 7

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Text #2

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Max Act: 2.5449. Min Act: -0.1700

Data Index: 1454076 (Python Code)

Max Activating Token Index: 301

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Text #3

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Data Index: 1008023 (C4 (Web Text))

Max Activating Token Index: 257

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Text #4

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Data Index: 1559609 (Python Code)

Max Activating Token Index: 99

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Text #5

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Data Index: 1127190 (C4 (Web Text))

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Text #6

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Data Index: 1557034 (Python Code)

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Text #7

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Data Index: 1547464 (Python Code)

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Text #8

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Data Index: 1253926 (C4 (Web Text))

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Text #9

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Data Index: 1432291 (Python Code)

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Text #10

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Data Index: 1467331 (Python Code)

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Text #11

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Data Index: 1060696 (C4 (Web Text))

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Text #12

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Data Index: 1256147 (C4 (Web Text))

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Text #13

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Data Index: 791531 (C4 (Web Text))

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Text #14

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Data Index: 63416 (C4 (Web Text))

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Text #15

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Data Index: 575587 (C4 (Web Text))

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Text #16

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Data Index: 1536886 (Python Code)

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Text #17

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Data Index: 1599004 (Python Code)

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Text #18

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Data Index: 240119 (C4 (Web Text))

Max Activating Token Index: 825

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Text #19

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Data Index: 755304 (C4 (Web Text))

Max Activating Token Index: 76

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