Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1884 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1117717 (C4 (Web Text))
Max Activating Token Index: 494
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Text #1
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Data Index: 1112640 (C4 (Web Text))
Max Activating Token Index: 742
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Text #2
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Data Index: 161944 (C4 (Web Text))
Max Activating Token Index: 850
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Text #3
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Data Index: 24349 (C4 (Web Text))
Max Activating Token Index: 87
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Text #4
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Data Index: 915629 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 1307970 (C4 (Web Text))
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Text #7
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Data Index: 1357126 (C4 (Web Text))
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Text #8
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Data Index: 16922 (C4 (Web Text))
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Text #9
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Data Index: 1329978 (C4 (Web Text))
Max Activating Token Index: 755
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Text #10
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Data Index: 285594 (C4 (Web Text))
Max Activating Token Index: 707
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Text #11
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Data Index: 154769 (C4 (Web Text))
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Text #12
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Data Index: 1044852 (C4 (Web Text))
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Text #13
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Data Index: 408337 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 205658 (C4 (Web Text))
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Text #16
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Data Index: 266830 (C4 (Web Text))
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Text #17
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Data Index: 21936 (C4 (Web Text))
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Text #18
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Data Index: 1029461 (C4 (Web Text))
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Text #19
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Data Index: 947872 (C4 (Web Text))
Max Activating Token Index: 238
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