Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 204 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 252954 (C4 (Web Text))
Max Activating Token Index: 746
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Text #1
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Data Index: 107739 (C4 (Web Text))
Max Activating Token Index: 439
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Text #2
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Data Index: 172914 (C4 (Web Text))
Max Activating Token Index: 580
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Text #3
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Data Index: 967252 (C4 (Web Text))
Max Activating Token Index: 750
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Text #4
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Data Index: 363757 (C4 (Web Text))
Max Activating Token Index: 174
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Text #5
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Data Index: 1141217 (C4 (Web Text))
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Text #6
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Data Index: 177851 (C4 (Web Text))
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Text #7
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Data Index: 277205 (C4 (Web Text))
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Text #8
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Data Index: 584264 (C4 (Web Text))
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Text #9
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Data Index: 202919 (C4 (Web Text))
Max Activating Token Index: 713
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Text #10
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Data Index: 553757 (C4 (Web Text))
Max Activating Token Index: 538
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Text #11
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Data Index: 464133 (C4 (Web Text))
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Text #12
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Data Index: 169420 (C4 (Web Text))
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Text #13
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Data Index: 742437 (C4 (Web Text))
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Text #14
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Data Index: 312295 (C4 (Web Text))
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Text #15
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Data Index: 128328 (C4 (Web Text))
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Text #16
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Data Index: 224962 (C4 (Web Text))
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Text #17
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Data Index: 1044932 (C4 (Web Text))
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Text #18
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Data Index: 144292 (C4 (Web Text))
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Text #19
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Data Index: 920779 (C4 (Web Text))
Max Activating Token Index: 112
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