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

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

Neuron 49 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.8102. Min Range: -4.8102

Max Act: 4.8102. Min Act: -0.1700

Data Index: 244643 (C4 (Web Text))

Max Activating Token Index: 797

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Text #1

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Max Act: 4.8102. Min Act: -0.1700

Data Index: 1293751 (C4 (Web Text))

Max Activating Token Index: 342

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Text #2

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Max Act: 4.8102. Min Act: -0.1700

Data Index: 244951 (C4 (Web Text))

Max Activating Token Index: 341

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Text #3

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Max Act: 4.7789. Min Act: -0.1700

Data Index: 1222152 (C4 (Web Text))

Max Activating Token Index: 356

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Text #4

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Max Act: 4.7789. Min Act: -0.1700

Data Index: 574146 (C4 (Web Text))

Max Activating Token Index: 471

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Text #5

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Data Index: 175803 (C4 (Web Text))

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Text #6

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Data Index: 1076162 (C4 (Web Text))

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Text #7

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Data Index: 750294 (C4 (Web Text))

Max Activating Token Index: 929

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Text #8

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Data Index: 693830 (C4 (Web Text))

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Text #9

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Data Index: 324697 (C4 (Web Text))

Max Activating Token Index: 149

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Text #10

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Text #11

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Data Index: 109998 (C4 (Web Text))

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Text #12

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Text #13

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Max Activating Token Index: 305

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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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Data Index: 916581 (C4 (Web Text))

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Text #18

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Data Index: 1142944 (C4 (Web Text))

Max Activating Token Index: 844

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Text #19

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Data Index: 237258 (C4 (Web Text))

Max Activating Token Index: 349

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