Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 139 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1339414 (C4 (Web Text))
Max Activating Token Index: 871
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Text #1
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Data Index: 792328 (C4 (Web Text))
Max Activating Token Index: 854
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Text #2
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Data Index: 1219140 (C4 (Web Text))
Max Activating Token Index: 879
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Text #3
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Data Index: 157517 (C4 (Web Text))
Max Activating Token Index: 26
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Text #4
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Data Index: 217175 (C4 (Web Text))
Max Activating Token Index: 914
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Text #5
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Data Index: 87253 (C4 (Web Text))
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Text #6
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Data Index: 228789 (C4 (Web Text))
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Text #7
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Data Index: 398731 (C4 (Web Text))
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Text #8
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Data Index: 265318 (C4 (Web Text))
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Text #9
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Data Index: 585322 (C4 (Web Text))
Max Activating Token Index: 857
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Text #10
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Data Index: 333672 (C4 (Web Text))
Max Activating Token Index: 232
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Text #11
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Data Index: 77477 (C4 (Web Text))
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Text #12
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Data Index: 373396 (C4 (Web Text))
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Text #13
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Data Index: 1132 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1351733 (C4 (Web Text))
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Text #16
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Data Index: 453606 (C4 (Web Text))
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Text #17
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Data Index: 156186 (C4 (Web Text))
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Text #18
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Data Index: 277990 (C4 (Web Text))
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Text #19
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Data Index: 32414 (C4 (Web Text))
Max Activating Token Index: 934
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