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

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

Neuron 1331 in Layer 0

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

Text #0

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Max Act: 3.2036. Min Act: -0.1700

Data Index: 178950 (C4 (Web Text))

Max Activating Token Index: 400

Text #1

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Data Index: 50431 (C4 (Web Text))

Max Activating Token Index: 242

Text #2

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Data Index: 358916 (C4 (Web Text))

Max Activating Token Index: 946

Text #3

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Data Index: 783300 (C4 (Web Text))

Max Activating Token Index: 642

Text #4

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Data Index: 1450830 (Python Code)

Max Activating Token Index: 12

Text #5

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Data Index: 38244 (C4 (Web Text))

Max Activating Token Index: 143

Text #6

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Max Activating Token Index: 527

Text #7

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Max Activating Token Index: 869

Text #8

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Max Activating Token Index: 371

Text #9

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Max Activating Token Index: 243

Text #10

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Text #11

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Max Activating Token Index: 96

Text #12

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Max Activating Token Index: 302

Text #13

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Data Index: 1327038 (C4 (Web Text))

Max Activating Token Index: 295

Text #14

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Text #15

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Max Activating Token Index: 516

Text #16

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Max Activating Token Index: 388

Text #17

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Text #18

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Max Activating Token Index: 749

Text #19

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Data Index: 926216 (C4 (Web Text))

Max Activating Token Index: 124