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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1982 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Max Act: 2.7763. Min Act: -0.1700

Data Index: 1430828 (Python Code)

Max Activating Token Index: 670

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Text #1

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Max Act: 2.7444. Min Act: -0.1700

Data Index: 1622139 (Python Code)

Max Activating Token Index: 615

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Max Act: 2.7444. Min Act: -0.1700

Data Index: 1542977 (Python Code)

Max Activating Token Index: 858

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Text #3

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Max Act: 2.7284. Min Act: -0.1700

Data Index: 343020 (C4 (Web Text))

Max Activating Token Index: 372

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Text #4

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Data Index: 1408706 (Python Code)

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Text #5

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Data Index: 1626744 (Python Code)

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Data Index: 1604852 (Python Code)

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Text #7

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Data Index: 1470241 (Python Code)

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Text #8

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Data Index: 1511706 (Python Code)

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Text #9

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Data Index: 1420992 (Python Code)

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Text #10

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Data Index: 1408660 (Python Code)

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Text #11

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Data Index: 1392765 (Python Code)

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Text #12

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Data Index: 1440623 (Python Code)

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Text #14

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Data Index: 1460349 (Python Code)

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Text #15

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Data Index: 1637208 (Python Code)

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Text #16

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Data Index: 75336 (C4 (Web Text))

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Text #17

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Data Index: 1383637 (Python Code)

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Text #18

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Data Index: 1396849 (Python Code)

Max Activating Token Index: 892

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Text #19

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Data Index: 1600627 (Python Code)

Max Activating Token Index: 399

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