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

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

Neuron 22 in Layer 0

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



Text #0

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Max Act: 2.8976. Min Act: -0.1700

Data Index: 1605364 (Python Code)

Max Activating Token Index: 5

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Text #1

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Data Index: 1031016 (C4 (Web Text))

Max Activating Token Index: 298

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Text #2

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Data Index: 912379 (C4 (Web Text))

Max Activating Token Index: 131

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Text #3

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Data Index: 1000955 (C4 (Web Text))

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Text #4

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Data Index: 28612 (C4 (Web Text))

Max Activating Token Index: 966

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Text #5

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Data Index: 80825 (C4 (Web Text))

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Text #6

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Data Index: 1045487 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 300036 (C4 (Web Text))

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Text #9

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Data Index: 408549 (C4 (Web Text))

Max Activating Token Index: 513

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Text #10

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Data Index: 15609 (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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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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Data Index: 1566182 (Python Code)

Max Activating Token Index: 540

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Text #19

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Data Index: 788730 (C4 (Web Text))

Max Activating Token Index: 453

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