Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1763 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 739226 (C4 (Web Text))
Max Activating Token Index: 395
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Text #1
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Data Index: 1086351 (C4 (Web Text))
Max Activating Token Index: 207
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Text #2
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Data Index: 731866 (C4 (Web Text))
Max Activating Token Index: 889
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Data Index: 1202574 (C4 (Web Text))
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Data Index: 103166 (C4 (Web Text))
Max Activating Token Index: 452
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Text #5
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Text #6
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Data Index: 17035 (C4 (Web Text))
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Text #7
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Data Index: 1298120 (C4 (Web Text))
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Text #8
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Data Index: 272327 (C4 (Web Text))
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Text #9
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Data Index: 543562 (C4 (Web Text))
Max Activating Token Index: 345
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Text #10
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Data Index: 78413 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 266579 (C4 (Web Text))
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Text #13
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Data Index: 921915 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1211160 (C4 (Web Text))
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Text #16
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Text #17
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Text #18
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Data Index: 19172 (C4 (Web Text))
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Text #19
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Data Index: 1035785 (C4 (Web Text))
Max Activating Token Index: 434
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