Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1991 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.0341. Min Act: -0.1700
Data Index: 1124441 (C4 (Web Text))
Max Activating Token Index: 871
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Text #1
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Data Index: 1291373 (C4 (Web Text))
Max Activating Token Index: 553
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Text #2
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Max Act: 3.0025. Min Act: -0.1700
Data Index: 1359733 (C4 (Web Text))
Max Activating Token Index: 605
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Text #3
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Max Act: 2.9709. Min Act: -0.1700
Data Index: 870098 (C4 (Web Text))
Max Activating Token Index: 338
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Text #4
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Data Index: 706329 (C4 (Web Text))
Max Activating Token Index: 813
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Text #5
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Data Index: 1134020 (C4 (Web Text))
Max Activating Token Index: 963
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Text #6
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Data Index: 1212536 (C4 (Web Text))
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Text #7
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Data Index: 976194 (C4 (Web Text))
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Text #8
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Data Index: 710368 (C4 (Web Text))
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Text #9
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Data Index: 292342 (C4 (Web Text))
Max Activating Token Index: 861
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Text #10
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Data Index: 455024 (C4 (Web Text))
Max Activating Token Index: 650
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Text #11
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Data Index: 1144189 (C4 (Web Text))
Max Activating Token Index: 549
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Text #12
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Data Index: 605429 (C4 (Web Text))
Max Activating Token Index: 897
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Text #13
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Data Index: 137898 (C4 (Web Text))
Max Activating Token Index: 330
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Text #14
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Data Index: 137527 (C4 (Web Text))
Max Activating Token Index: 240
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Text #15
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Data Index: 1122571 (C4 (Web Text))
Max Activating Token Index: 997
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Text #16
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Data Index: 743112 (C4 (Web Text))
Max Activating Token Index: 433
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Text #17
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Data Index: 1448073 (Python Code)
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Text #18
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Data Index: 1004364 (C4 (Web Text))
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Text #19
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Data Index: 1115897 (C4 (Web Text))
Max Activating Token Index: 440
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