Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2033 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.0559. Min Act: -0.1700
Data Index: 1060928 (C4 (Web Text))
Max Activating Token Index: 632
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Text #1
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Data Index: 164272 (C4 (Web Text))
Max Activating Token Index: 314
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Text #2
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Data Index: 1263890 (C4 (Web Text))
Max Activating Token Index: 586
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Text #3
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Data Index: 167154 (C4 (Web Text))
Max Activating Token Index: 349
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Text #4
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Data Index: 1024804 (C4 (Web Text))
Max Activating Token Index: 391
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Text #5
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Data Index: 461622 (C4 (Web Text))
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Text #6
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Data Index: 1020475 (C4 (Web Text))
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Text #7
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Data Index: 1015783 (C4 (Web Text))
Max Activating Token Index: 917
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Text #8
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Data Index: 926469 (C4 (Web Text))
Max Activating Token Index: 350
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Text #9
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Data Index: 1119305 (C4 (Web Text))
Max Activating Token Index: 403
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Text #10
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Data Index: 385277 (C4 (Web Text))
Max Activating Token Index: 212
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Text #11
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Data Index: 59834 (C4 (Web Text))
Max Activating Token Index: 328
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Text #12
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Data Index: 265960 (C4 (Web Text))
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Text #13
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Data Index: 250367 (C4 (Web Text))
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Text #14
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Data Index: 390441 (C4 (Web Text))
Max Activating Token Index: 854
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Text #15
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Data Index: 881747 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 125342 (C4 (Web Text))
Max Activating Token Index: 781
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Text #18
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Data Index: 846689 (C4 (Web Text))
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Text #19
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Data Index: 728662 (C4 (Web Text))
Max Activating Token Index: 679
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