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

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

Neuron 1506 in Layer 3

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



Text #0

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Max Act: 5.1225. Min Act: -0.1700

Data Index: 723970 (C4 (Web Text))

Max Activating Token Index: 790

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Text #1

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Max Act: 4.9350. Min Act: -0.1700

Data Index: 477015 (C4 (Web Text))

Max Activating Token Index: 354

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Text #2

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Max Act: 4.9037. Min Act: -0.1700

Data Index: 536294 (C4 (Web Text))

Max Activating Token Index: 870

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Text #3

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Max Act: 4.8725. Min Act: -0.1700

Data Index: 165909 (C4 (Web Text))

Max Activating Token Index: 303

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Text #4

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Max Act: 4.7787. Min Act: -0.1700

Data Index: 1005705 (C4 (Web Text))

Max Activating Token Index: 162

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Text #5

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Data Index: 251598 (C4 (Web Text))

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Text #6

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Data Index: 1130100 (C4 (Web Text))

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Text #7

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Data Index: 1443112 (Python Code)

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Text #8

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Data Index: 629365 (C4 (Web Text))

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Text #9

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Data Index: 288101 (C4 (Web Text))

Max Activating Token Index: 947

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Text #10

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Data Index: 882169 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 21543 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 676426 (C4 (Web Text))

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Text #16

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Data Index: 524142 (C4 (Web Text))

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Text #17

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Data Index: 1388101 (Python Code)

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Text #18

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Max Act: 4.5599. Min Act: -0.1700

Data Index: 66429 (C4 (Web Text))

Max Activating Token Index: 733

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Text #19

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Data Index: 778056 (C4 (Web Text))

Max Activating Token Index: 262

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