Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1967 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.0228. Min Act: -0.1700
Data Index: 668600 (C4 (Web Text))
Max Activating Token Index: 725
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Text #1
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Max Act: 2.8962. Min Act: -0.1700
Data Index: 185945 (C4 (Web Text))
Max Activating Token Index: 89
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Text #2
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Data Index: 894705 (C4 (Web Text))
Max Activating Token Index: 356
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Text #3
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Data Index: 567496 (C4 (Web Text))
Max Activating Token Index: 641
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Text #4
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Data Index: 1188439 (C4 (Web Text))
Max Activating Token Index: 218
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Text #5
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Data Index: 275499 (C4 (Web Text))
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Text #6
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Data Index: 452057 (C4 (Web Text))
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Text #7
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Data Index: 269032 (C4 (Web Text))
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Text #8
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Data Index: 1297915 (C4 (Web Text))
Max Activating Token Index: 684
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Text #9
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Data Index: 1184242 (C4 (Web Text))
Max Activating Token Index: 439
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Text #10
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Data Index: 1102981 (C4 (Web Text))
Max Activating Token Index: 680
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Text #11
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Data Index: 879760 (C4 (Web Text))
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Text #12
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Data Index: 774464 (C4 (Web Text))
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Text #13
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Max Act: 2.8644. Min Act: -0.1700
Data Index: 554780 (C4 (Web Text))
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Text #14
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Data Index: 977497 (C4 (Web Text))
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Text #15
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Data Index: 456941 (C4 (Web Text))
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Text #16
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Data Index: 819755 (C4 (Web Text))
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Text #17
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Data Index: 565265 (C4 (Web Text))
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Text #18
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Data Index: 1077994 (C4 (Web Text))
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Text #19
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Data Index: 137580 (C4 (Web Text))
Max Activating Token Index: 728
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