Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 648 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1095523 (C4 (Web Text))
Max Activating Token Index: 628
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Text #1
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Data Index: 1317353 (C4 (Web Text))
Max Activating Token Index: 71
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Text #2
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Data Index: 1291338 (C4 (Web Text))
Max Activating Token Index: 747
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Text #3
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Data Index: 225270 (C4 (Web Text))
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Text #4
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Data Index: 211370 (C4 (Web Text))
Max Activating Token Index: 195
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Text #5
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Data Index: 686781 (C4 (Web Text))
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Text #6
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Data Index: 983533 (C4 (Web Text))
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Text #7
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Data Index: 486797 (C4 (Web Text))
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Text #8
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Data Index: 99120 (C4 (Web Text))
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Text #9
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Data Index: 587926 (C4 (Web Text))
Max Activating Token Index: 393
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Text #10
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Data Index: 500672 (C4 (Web Text))
Max Activating Token Index: 399
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Text #11
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Data Index: 627711 (C4 (Web Text))
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Text #12
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Data Index: 1048011 (C4 (Web Text))
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Text #13
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Data Index: 378754 (C4 (Web Text))
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Text #14
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Data Index: 253739 (C4 (Web Text))
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Text #15
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Data Index: 703497 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 518782 (C4 (Web Text))
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Text #18
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Data Index: 639663 (C4 (Web Text))
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Text #19
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Data Index: 65643 (C4 (Web Text))
Max Activating Token Index: 210
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