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

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

Neuron 148 in Layer 0

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



Text #0

Max Range: 1.7789. Min Range: -1.7789

Max Act: 1.7789. Min Act: -0.1700

Data Index: 998492 (C4 (Web Text))

Max Activating Token Index: 599

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Text #1

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Max Act: 1.7184. Min Act: -0.1700

Data Index: 1589417 (Python Code)

Max Activating Token Index: 998

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Text #2

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Max Act: 1.6751. Min Act: -0.1700

Data Index: 997504 (C4 (Web Text))

Max Activating Token Index: 947

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Text #3

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Max Act: 1.6403. Min Act: -0.1700

Data Index: 1645900 (Python Code)

Max Activating Token Index: 723

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Text #4

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Max Act: 1.6316. Min Act: -0.1699

Data Index: 1544890 (Python Code)

Max Activating Token Index: 336

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Text #5

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Data Index: 1361803 (Python Code)

Max Activating Token Index: 912

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Text #6

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Data Index: 1432503 (Python Code)

Max Activating Token Index: 735

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Text #7

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Data Index: 1520730 (Python Code)

Max Activating Token Index: 1008

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Text #8

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Max Act: 1.5880. Min Act: -0.1700

Data Index: 1576744 (Python Code)

Max Activating Token Index: 378

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Text #9

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Max Act: 1.5793. Min Act: -0.1700

Data Index: 484607 (C4 (Web Text))

Max Activating Token Index: 410

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Text #10

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Data Index: 677038 (C4 (Web Text))

Max Activating Token Index: 926

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Text #11

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Data Index: 1637085 (Python Code)

Max Activating Token Index: 1009

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Text #12

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Data Index: 327718 (C4 (Web Text))

Max Activating Token Index: 278

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Text #13

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Max Act: 1.5618. Min Act: -0.1700

Data Index: 1507790 (Python Code)

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Text #14

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Max Act: 1.5618. Min Act: -0.1700

Data Index: 1478004 (Python Code)

Max Activating Token Index: 841

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Text #15

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Data Index: 1476083 (Python Code)

Max Activating Token Index: 776

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Text #16

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Max Act: 1.5618. Min Act: -0.1700

Data Index: 1498846 (Python Code)

Max Activating Token Index: 935

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Text #17

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Max Act: 1.5618. Min Act: -0.1699

Data Index: 1527136 (Python Code)

Max Activating Token Index: 1002

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Text #18

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Max Act: 1.5530. Min Act: -0.1700

Data Index: 1614869 (Python Code)

Max Activating Token Index: 994

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Text #19

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Max Act: 1.5530. Min Act: -0.1699

Data Index: 905635 (C4 (Web Text))

Max Activating Token Index: 901

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