Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1983 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 2.9313. Min Act: -0.1700
Data Index: 1295146 (C4 (Web Text))
Max Activating Token Index: 150
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Text #1
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Max Act: 2.8042. Min Act: -0.1700
Data Index: 1212866 (C4 (Web Text))
Max Activating Token Index: 323
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Text #2
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Max Act: 2.8042. Min Act: -0.1700
Data Index: 1276636 (C4 (Web Text))
Max Activating Token Index: 540
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Text #3
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Max Act: 2.7883. Min Act: -0.1700
Data Index: 659014 (C4 (Web Text))
Max Activating Token Index: 374
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Text #4
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Data Index: 1069789 (C4 (Web Text))
Max Activating Token Index: 589
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Text #5
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Data Index: 94544 (C4 (Web Text))
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Text #6
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Data Index: 1591640 (Python Code)
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Text #7
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Data Index: 1212918 (C4 (Web Text))
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Text #8
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Data Index: 1476812 (Python Code)
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Text #9
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Data Index: 226499 (C4 (Web Text))
Max Activating Token Index: 613
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Text #10
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Data Index: 1382009 (Python Code)
Max Activating Token Index: 642
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Text #11
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Data Index: 30467 (C4 (Web Text))
Max Activating Token Index: 465
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Text #12
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Data Index: 1569828 (Python Code)
Max Activating Token Index: 792
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Text #13
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Data Index: 1414512 (Python Code)
Max Activating Token Index: 645
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Text #14
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Data Index: 1490378 (Python Code)
Max Activating Token Index: 797
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Text #15
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Data Index: 173547 (C4 (Web Text))
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Text #16
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Data Index: 1557074 (Python Code)
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Text #17
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Data Index: 1389851 (Python Code)
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Text #18
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Data Index: 1502392 (Python Code)
Max Activating Token Index: 784
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Text #19
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Data Index: 434503 (C4 (Web Text))
Max Activating Token Index: 609
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