Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1279 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 40677 (C4 (Web Text))
Max Activating Token Index: 94
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Full Text #0
Text #1
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Data Index: 781927 (C4 (Web Text))
Max Activating Token Index: 677
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Text #2
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Data Index: 796556 (C4 (Web Text))
Max Activating Token Index: 166
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Text #3
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Data Index: 61770 (C4 (Web Text))
Max Activating Token Index: 204
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Text #4
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Data Index: 1138466 (C4 (Web Text))
Max Activating Token Index: 127
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Text #5
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Data Index: 1018394 (C4 (Web Text))
Max Activating Token Index: 587
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Text #6
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Data Index: 389893 (C4 (Web Text))
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Text #7
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Data Index: 264790 (C4 (Web Text))
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Text #8
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Data Index: 323709 (C4 (Web Text))
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Text #9
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Data Index: 442042 (C4 (Web Text))
Max Activating Token Index: 426
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Text #10
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Data Index: 349223 (C4 (Web Text))
Max Activating Token Index: 873
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Text #11
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Data Index: 1342809 (C4 (Web Text))
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Text #12
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Data Index: 6117 (C4 (Web Text))
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Text #13
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Data Index: 369067 (C4 (Web Text))
Max Activating Token Index: 986
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Text #14
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Text #15
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Text #16
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Text #17
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Data Index: 1088651 (C4 (Web Text))
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Text #18
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Data Index: 722868 (C4 (Web Text))
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Text #19
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Data Index: 1131157 (C4 (Web Text))
Max Activating Token Index: 827
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