Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1531 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
Max Range: 3.0453. Min Range: -3.0453
Max Act: 3.0453. Min Act: -0.1700
Data Index: 343776 (C4 (Web Text))
Max Activating Token Index: 132
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Full Text #0
Text #1
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Max Act: 2.9187. Min Act: -0.1700
Data Index: 842924 (C4 (Web Text))
Max Activating Token Index: 483
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Text #2
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Max Act: 2.9187. Min Act: -0.1700
Data Index: 856320 (C4 (Web Text))
Max Activating Token Index: 959
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Text #3
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Data Index: 1138469 (C4 (Web Text))
Max Activating Token Index: 864
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Text #4
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Data Index: 1256422 (C4 (Web Text))
Max Activating Token Index: 937
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Text #5
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Data Index: 994927 (C4 (Web Text))
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Text #6
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Data Index: 592418 (C4 (Web Text))
Max Activating Token Index: 961
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Text #7
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Data Index: 757370 (C4 (Web Text))
Max Activating Token Index: 649
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Text #8
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Data Index: 1218531 (C4 (Web Text))
Max Activating Token Index: 97
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Text #9
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Data Index: 1281218 (C4 (Web Text))
Max Activating Token Index: 13
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Text #10
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Data Index: 968474 (C4 (Web Text))
Max Activating Token Index: 95
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Text #11
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Data Index: 153116 (C4 (Web Text))
Max Activating Token Index: 664
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Text #12
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Data Index: 871670 (C4 (Web Text))
Max Activating Token Index: 344
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Text #13
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Max Act: 2.8235. Min Act: -0.1700
Data Index: 673596 (C4 (Web Text))
Max Activating Token Index: 181
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Text #14
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Data Index: 402768 (C4 (Web Text))
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Text #15
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Data Index: 576942 (C4 (Web Text))
Max Activating Token Index: 518
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Text #16
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Data Index: 1060063 (C4 (Web Text))
Max Activating Token Index: 324
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Text #17
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Data Index: 428570 (C4 (Web Text))
Max Activating Token Index: 705
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Text #18
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Data Index: 991785 (C4 (Web Text))
Max Activating Token Index: 577
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Text #19
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Max Act: 2.8075. Min Act: -0.1700
Data Index: 164453 (C4 (Web Text))
Max Activating Token Index: 1004
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