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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 2047 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

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Max Act: 5.0949. Min Act: -0.1700

Data Index: 1212084 (C4 (Web Text))

Max Activating Token Index: 451

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Text #1

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Max Act: 5.0636. Min Act: -0.1700

Data Index: 199809 (C4 (Web Text))

Max Activating Token Index: 867

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Text #2

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Max Act: 4.9699. Min Act: -0.1700

Data Index: 1186188 (C4 (Web Text))

Max Activating Token Index: 434

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Text #3

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Max Act: 4.9699. Min Act: -0.1700

Data Index: 434075 (C4 (Web Text))

Max Activating Token Index: 299

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Text #4

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Max Act: 4.9699. Min Act: -0.1699

Data Index: 412602 (C4 (Web Text))

Max Activating Token Index: 575

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Text #5

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Max Act: 5.0011. Min Act: -0.1700

Data Index: 550757 (C4 (Web Text))

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Text #6

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Data Index: 298520 (C4 (Web Text))

Max Activating Token Index: 537

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Text #7

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Data Index: 937748 (C4 (Web Text))

Max Activating Token Index: 781

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Text #8

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Data Index: 200094 (C4 (Web Text))

Max Activating Token Index: 841

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Text #9

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Data Index: 1235772 (C4 (Web Text))

Max Activating Token Index: 614

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Text #10

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Data Index: 319226 (C4 (Web Text))

Max Activating Token Index: 927

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Text #11

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Data Index: 48748 (C4 (Web Text))

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Text #12

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Data Index: 917016 (C4 (Web Text))

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Text #13

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Data Index: 1068321 (C4 (Web Text))

Max Activating Token Index: 766

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Text #14

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Text #15

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Max Act: 4.9230. Min Act: -0.1700

Data Index: 892674 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1137713 (C4 (Web Text))

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Text #18

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Max Act: 4.8917. Min Act: -0.1700

Data Index: 700503 (C4 (Web Text))

Max Activating Token Index: 28

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Text #19

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Data Index: 342718 (C4 (Web Text))

Max Activating Token Index: 929

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