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

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

Neuron 1354 in Layer 0

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

Text #0

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Max Act: 3.4415. Min Act: -0.1700

Data Index: 547672 (C4 (Web Text))

Max Activating Token Index: 741

Text #1

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Max Activating Token Index: 763

Text #2

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Max Activating Token Index: 82

Text #3

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Data Index: 103020 (C4 (Web Text))

Max Activating Token Index: 379

Text #4

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Max Activating Token Index: 211

Text #5

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Max Activating Token Index: 119

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 228

Text #9

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Max Activating Token Index: 211

Text #10

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Max Activating Token Index: 8

Text #11

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Max Activating Token Index: 914

Text #12

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Max Activating Token Index: 294

Text #13

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Max Activating Token Index: 395

Text #14

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Max Activating Token Index: 491

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 63

Text #18

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Max Activating Token Index: 379

Text #19

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Data Index: 282719 (C4 (Web Text))

Max Activating Token Index: 675