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

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

Neuron 50 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 8.8183. Min Range: -8.8183

Max Act: 8.8183. Min Act: -0.1700

Data Index: 456214 (C4 (Web Text))

Max Activating Token Index: 708

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Text #1

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Max Act: 8.6308. Min Act: -0.1700

Data Index: 258402 (C4 (Web Text))

Max Activating Token Index: 351

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Text #2

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Max Act: 8.6933. Min Act: -0.1700

Data Index: 730181 (C4 (Web Text))

Max Activating Token Index: 528

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Text #3

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Max Act: 8.6308. Min Act: -0.1700

Data Index: 1134137 (C4 (Web Text))

Max Activating Token Index: 160

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Text #4

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Max Act: 8.6308. Min Act: -0.1700

Data Index: 1170889 (C4 (Web Text))

Max Activating Token Index: 712

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Text #5

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Max Act: 8.5058. Min Act: -0.1700

Data Index: 1272129 (C4 (Web Text))

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Text #6

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Data Index: 646996 (C4 (Web Text))

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Text #7

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Data Index: 1107281 (C4 (Web Text))

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Text #8

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Data Index: 1015078 (C4 (Web Text))

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Text #9

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Data Index: 517625 (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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Data Index: 662519 (C4 (Web Text))

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Text #13

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Data Index: 1350477 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 188683 (C4 (Web Text))

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Text #16

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Data Index: 780380 (C4 (Web Text))

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Text #17

Max Range: 8.8183. Min Range: -8.8183

Max Act: 8.5058. Min Act: -0.1700

Data Index: 183522 (C4 (Web Text))

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Text #18

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Max Act: 8.5683. Min Act: -0.1700

Data Index: 394551 (C4 (Web Text))

Max Activating Token Index: 468

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Text #19

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Data Index: 161324 (C4 (Web Text))

Max Activating Token Index: 812

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