Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1993 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 878312 (C4 (Web Text))
Max Activating Token Index: 699
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Text #1
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Data Index: 1101321 (C4 (Web Text))
Max Activating Token Index: 212
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Text #2
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Data Index: 365517 (C4 (Web Text))
Max Activating Token Index: 617
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Text #3
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Data Index: 322992 (C4 (Web Text))
Max Activating Token Index: 564
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Text #4
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Data Index: 151313 (C4 (Web Text))
Max Activating Token Index: 750
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Text #5
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Data Index: 1294914 (C4 (Web Text))
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Text #6
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Data Index: 813145 (C4 (Web Text))
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Text #7
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Data Index: 332216 (C4 (Web Text))
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Text #8
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Data Index: 1293781 (C4 (Web Text))
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Text #9
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Data Index: 291052 (C4 (Web Text))
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Text #10
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Data Index: 1046340 (C4 (Web Text))
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Text #11
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Data Index: 86426 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 959694 (C4 (Web Text))
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Text #14
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Data Index: 1086502 (C4 (Web Text))
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Text #15
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Text #16
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Text #17
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Text #18
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Text #19
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Data Index: 648399 (C4 (Web Text))
Max Activating Token Index: 843
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