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

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

Neuron 1001 in Layer 0

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

Text #0

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Max Act: 3.7958. Min Act: -0.1700

Data Index: 620270 (C4 (Web Text))

Max Activating Token Index: 709

Text #1

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Max Activating Token Index: 52

Text #2

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Data Index: 1008510 (C4 (Web Text))

Max Activating Token Index: 659

Text #3

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Data Index: 883028 (C4 (Web Text))

Max Activating Token Index: 439

Text #4

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Max Activating Token Index: 527

Text #5

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Max Activating Token Index: 144

Text #6

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Data Index: 615098 (C4 (Web Text))

Max Activating Token Index: 201

Text #7

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Data Index: 194919 (C4 (Web Text))

Max Activating Token Index: 942

Text #8

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Max Activating Token Index: 379

Text #9

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Max Activating Token Index: 514

Text #10

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Text #11

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Max Activating Token Index: 486

Text #12

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Max Activating Token Index: 753

Text #13

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Max Activating Token Index: 343

Text #14

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Max Activating Token Index: 876

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 249

Text #18

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Data Index: 280075 (C4 (Web Text))

Max Activating Token Index: 164

Text #19

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Max Act: 3.6080. Min Act: -0.1700

Data Index: 653659 (C4 (Web Text))

Max Activating Token Index: 204