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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 46 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

Max Range: 6.1760. Min Range: -6.1760

Max Act: 6.1760. Min Act: -0.1700

Data Index: 386203 (C4 (Web Text))

Max Activating Token Index: 986

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Text #1

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Data Index: 34195 (C4 (Web Text))

Max Activating Token Index: 406

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Text #2

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Data Index: 84949 (C4 (Web Text))

Max Activating Token Index: 796

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Text #3

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Data Index: 447283 (C4 (Web Text))

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Text #4

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Data Index: 573907 (C4 (Web Text))

Max Activating Token Index: 899

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Text #5

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 623579 (C4 (Web Text))

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Text #10

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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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Text #19

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Data Index: 1259947 (C4 (Web Text))

Max Activating Token Index: 990

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