Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 42 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Max Act: 3.0562. Min Act: -0.1700
Data Index: 1216729 (C4 (Web Text))
Max Activating Token Index: 218
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Text #1
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Max Act: 3.0562. Min Act: -0.1700
Data Index: 1159712 (C4 (Web Text))
Max Activating Token Index: 531
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Text #2
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Max Act: 3.0404. Min Act: -0.1700
Data Index: 736182 (C4 (Web Text))
Max Activating Token Index: 210
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Text #3
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Max Act: 3.0246. Min Act: -0.1700
Data Index: 1519336 (Python Code)
Max Activating Token Index: 855
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Text #4
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Data Index: 1282286 (C4 (Web Text))
Max Activating Token Index: 680
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Text #5
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Data Index: 1068381 (C4 (Web Text))
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Text #6
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Data Index: 106327 (C4 (Web Text))
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Text #7
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Data Index: 198929 (C4 (Web Text))
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Text #8
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Data Index: 733624 (C4 (Web Text))
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Text #9
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Data Index: 1582037 (Python Code)
Max Activating Token Index: 879
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Text #10
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Data Index: 1117829 (C4 (Web Text))
Max Activating Token Index: 708
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Text #11
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Data Index: 618059 (C4 (Web Text))
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Text #12
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Data Index: 1334508 (C4 (Web Text))
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Text #13
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Max Act: 2.9138. Min Act: -0.1700
Data Index: 16480 (C4 (Web Text))
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Text #14
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Data Index: 1121652 (C4 (Web Text))
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Text #15
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Data Index: 469906 (C4 (Web Text))
Max Activating Token Index: 6
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Text #16
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Data Index: 653198 (C4 (Web Text))
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Text #17
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Data Index: 139111 (C4 (Web Text))
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Text #18
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Data Index: 545309 (C4 (Web Text))
Max Activating Token Index: 220
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Text #19
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Max Act: 2.9138. Min Act: -0.1700
Data Index: 992458 (C4 (Web Text))
Max Activating Token Index: 742
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