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

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

Neuron 54 in Layer 1

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



Text #0

Max Range: 5.0338. Min Range: -5.0338

Max Act: 5.0026. Min Act: -0.1700

Data Index: 1136954 (C4 (Web Text))

Max Activating Token Index: 738

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Text #1

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Max Act: 5.0338. Min Act: -0.1700

Data Index: 362708 (C4 (Web Text))

Max Activating Token Index: 326

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Text #2

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Max Act: 5.0338. Min Act: -0.1700

Data Index: 837973 (C4 (Web Text))

Max Activating Token Index: 843

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Text #3

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Max Act: 4.9713. Min Act: -0.1700

Data Index: 869600 (C4 (Web Text))

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Text #4

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Max Act: 5.0338. Min Act: -0.1700

Data Index: 905803 (C4 (Web Text))

Max Activating Token Index: 763

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Text #5

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Text #6

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Data Index: 1033877 (C4 (Web Text))

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Text #7

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Data Index: 1083797 (C4 (Web Text))

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Text #8

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Max Act: 4.9713. Min Act: -0.1700

Data Index: 757811 (C4 (Web Text))

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Text #9

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Max Act: 5.0026. Min Act: -0.1700

Data Index: 619578 (C4 (Web Text))

Max Activating Token Index: 349

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Text #10

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Data Index: 297313 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 317800 (C4 (Web Text))

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Text #13

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Data Index: 592615 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 149062 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 62302 (C4 (Web Text))

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Text #19

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Max Act: 4.9088. Min Act: -0.1700

Data Index: 240359 (C4 (Web Text))

Max Activating Token Index: 520

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