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

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

Neuron 1472 in Layer 0

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

Text #0

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Max Act: 3.3455. Min Act: -0.1700

Data Index: 1314813 (C4 (Web Text))

Max Activating Token Index: 478

Text #1

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Max Activating Token Index: 515

Text #2

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Max Activating Token Index: 158

Text #3

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Data Index: 188047 (C4 (Web Text))

Max Activating Token Index: 772

Text #4

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Max Activating Token Index: 320

Text #5

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Max Activating Token Index: 144

Text #6

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Max Activating Token Index: 458

Text #7

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Max Activating Token Index: 353

Text #8

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Max Activating Token Index: 465

Text #9

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Max Activating Token Index: 617

Text #10

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Text #11

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Max Activating Token Index: 252

Text #12

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Max Activating Token Index: 524

Text #13

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Data Index: 842527 (C4 (Web Text))

Max Activating Token Index: 530

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 740

Text #19

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Data Index: 1168910 (C4 (Web Text))

Max Activating Token Index: 1009