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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1502 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

Max Range: 2.6768. Min Range: -2.6768

Max Act: 2.6768. Min Act: -0.1700

Data Index: 56097 (C4 (Web Text))

Max Activating Token Index: 798

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Text #1

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Max Act: 2.6768. Min Act: -0.1700

Data Index: 1368836 (Python Code)

Max Activating Token Index: 531

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Truncated

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Text #2

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Max Act: 2.6768. Min Act: -0.1700

Data Index: 370813 (C4 (Web Text))

Max Activating Token Index: 9

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Text #3

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Max Act: 2.6448. Min Act: -0.1700

Data Index: 1076458 (C4 (Web Text))

Max Activating Token Index: 392

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Text #4

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Max Act: 2.6448. Min Act: -0.1700

Data Index: 68013 (C4 (Web Text))

Max Activating Token Index: 910

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Text #5

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Max Act: 2.6448. Min Act: -0.1700

Data Index: 815861 (C4 (Web Text))

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Text #6

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Data Index: 1017573 (C4 (Web Text))

Max Activating Token Index: 886

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Text #7

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Data Index: 194776 (C4 (Web Text))

Max Activating Token Index: 60

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Text #8

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Max Act: 2.6448. Min Act: -0.1700

Data Index: 19990 (C4 (Web Text))

Max Activating Token Index: 221

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Text #9

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Data Index: 408120 (C4 (Web Text))

Max Activating Token Index: 66

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Text #10

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Data Index: 1259923 (C4 (Web Text))

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Text #11

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Data Index: 234218 (C4 (Web Text))

Max Activating Token Index: 832

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Text #12

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Data Index: 466312 (C4 (Web Text))

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Text #13

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Data Index: 160462 (C4 (Web Text))

Max Activating Token Index: 932

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Text #14

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Data Index: 1310134 (C4 (Web Text))

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Text #15

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Data Index: 536769 (C4 (Web Text))

Max Activating Token Index: 4

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Text #16

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Data Index: 1362112 (Python Code)

Max Activating Token Index: 735

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Text #17

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Max Act: 2.5965. Min Act: -0.1700

Data Index: 1160805 (C4 (Web Text))

Max Activating Token Index: 805

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Text #18

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Max Act: 2.6126. Min Act: -0.1700

Data Index: 509232 (C4 (Web Text))

Max Activating Token Index: 10

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Text #19

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Data Index: 415275 (C4 (Web Text))

Max Activating Token Index: 718

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