Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2039 in Layer 2
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Max Act: 4.0340. Min Act: -0.1700
Data Index: 920216 (C4 (Web Text))
Max Activating Token Index: 818
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Text #1
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Data Index: 714816 (C4 (Web Text))
Max Activating Token Index: 394
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Text #2
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Max Act: 3.9402. Min Act: -0.1700
Data Index: 434553 (C4 (Web Text))
Max Activating Token Index: 313
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Text #3
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Data Index: 752145 (C4 (Web Text))
Max Activating Token Index: 247
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Text #4
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Data Index: 700184 (C4 (Web Text))
Max Activating Token Index: 167
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Text #5
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Data Index: 577652 (C4 (Web Text))
Max Activating Token Index: 810
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Text #6
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Data Index: 338520 (C4 (Web Text))
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Text #7
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Data Index: 515461 (C4 (Web Text))
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Text #8
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Data Index: 866321 (C4 (Web Text))
Max Activating Token Index: 391
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Text #9
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Data Index: 927480 (C4 (Web Text))
Max Activating Token Index: 684
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Text #10
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Data Index: 411105 (C4 (Web Text))
Max Activating Token Index: 745
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Text #11
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Data Index: 248244 (C4 (Web Text))
Max Activating Token Index: 478
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Text #12
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Data Index: 830728 (C4 (Web Text))
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Text #13
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Data Index: 1322988 (C4 (Web Text))
Max Activating Token Index: 643
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Text #14
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Data Index: 1006442 (C4 (Web Text))
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Text #15
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Data Index: 1089822 (C4 (Web Text))
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Text #16
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Data Index: 730038 (C4 (Web Text))
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Text #17
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Data Index: 562366 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 360661 (C4 (Web Text))
Max Activating Token Index: 813
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