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

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

Neuron 1298 in Layer 0

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

Text #0

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Max Act: 3.3803. Min Act: -0.1700

Data Index: 659154 (C4 (Web Text))

Max Activating Token Index: 5

Text #1

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Max Activating Token Index: 6

Text #2

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Max Activating Token Index: 3

Text #3

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Data Index: 1227782 (C4 (Web Text))

Max Activating Token Index: 31

Text #4

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Max Activating Token Index: 285

Text #5

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Max Activating Token Index: 108

Text #6

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Max Activating Token Index: 22

Text #7

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Max Activating Token Index: 247

Text #8

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Max Activating Token Index: 926

Text #9

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Max Activating Token Index: 888

Text #10

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Max Activating Token Index: 415

Text #11

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Max Activating Token Index: 222

Text #12

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Max Activating Token Index: 9

Text #13

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Data Index: 1192374 (C4 (Web Text))

Max Activating Token Index: 5

Text #14

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Max Activating Token Index: 561

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 100

Text #18

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Max Activating Token Index: 107

Text #19

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Data Index: 202254 (C4 (Web Text))

Max Activating Token Index: 599