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

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

Neuron 1591 in Layer 0

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

Text #0

Max Range: 3.1972. Min Range: -3.1972

Max Act: 3.1972. Min Act: -0.1700

Data Index: 1067653 (C4 (Web Text))

Max Activating Token Index: 582

Text #1

Max Range: 3.1972. Min Range: -3.1972

Max Act: 3.1815. Min Act: -0.1700

Data Index: 1103860 (C4 (Web Text))

Max Activating Token Index: 54

Text #2

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Data Index: 636871 (C4 (Web Text))

Max Activating Token Index: 544

Text #3

Max Range: 3.1972. Min Range: -3.1972

Max Act: 3.1815. Min Act: -0.1700

Data Index: 494568 (C4 (Web Text))

Max Activating Token Index: 38

Text #4

Max Range: 3.1972. Min Range: -3.1972

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Data Index: 1268018 (C4 (Web Text))

Max Activating Token Index: 497

Text #5

Max Range: 3.1972. Min Range: -3.1972

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Data Index: 955510 (C4 (Web Text))

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Text #6

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Data Index: 101108 (C4 (Web Text))

Max Activating Token Index: 339

Text #7

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Text #8

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Text #9

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Data Index: 686756 (C4 (Web Text))

Max Activating Token Index: 783

Text #10

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Data Index: 1125445 (C4 (Web Text))

Max Activating Token Index: 502

Text #11

Max Range: 3.1972. Min Range: -3.1972

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Data Index: 365301 (C4 (Web Text))

Max Activating Token Index: 816

Text #12

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Max Activating Token Index: 938

Text #13

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Data Index: 331601 (C4 (Web Text))

Max Activating Token Index: 613

Text #14

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Data Index: 625705 (C4 (Web Text))

Max Activating Token Index: 654

Text #15

Max Range: 3.1972. Min Range: -3.1972

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Max Activating Token Index: 688

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 937

Text #19

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Data Index: 1168702 (C4 (Web Text))

Max Activating Token Index: 252