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

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

Neuron 638 in Layer 3

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



Text #0

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Max Act: 6.4922. Min Act: -0.1700

Data Index: 526470 (C4 (Web Text))

Max Activating Token Index: 177

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Text #1

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Max Act: 6.3672. Min Act: -0.1699

Data Index: 144540 (C4 (Web Text))

Max Activating Token Index: 542

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Text #2

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Max Act: 6.3047. Min Act: -0.1700

Data Index: 266949 (C4 (Web Text))

Max Activating Token Index: 743

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Text #3

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Data Index: 151610 (C4 (Web Text))

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Data Index: 1187276 (C4 (Web Text))

Max Activating Token Index: 747

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Data Index: 651139 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1373238 (Python Code)

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Text #9

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Data Index: 897215 (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: 524050 (C4 (Web Text))

Max Activating Token Index: 296

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