Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 715 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1192442 (C4 (Web Text))
Max Activating Token Index: 21
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Text #1
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Data Index: 371009 (C4 (Web Text))
Max Activating Token Index: 736
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Text #2
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Data Index: 1585573 (Python Code)
Max Activating Token Index: 952
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Data Index: 463979 (C4 (Web Text))
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Text #4
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Data Index: 661232 (C4 (Web Text))
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Text #5
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Data Index: 1427448 (Python Code)
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Data Index: 140045 (C4 (Web Text))
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Text #7
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Data Index: 1532194 (Python Code)
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Text #8
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Data Index: 1415401 (Python Code)
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Text #9
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Data Index: 1330318 (C4 (Web Text))
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Text #10
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Data Index: 910755 (C4 (Web Text))
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Text #11
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Data Index: 1279763 (C4 (Web Text))
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Text #12
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Data Index: 721895 (C4 (Web Text))
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Text #13
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Data Index: 1197710 (C4 (Web Text))
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Text #14
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Data Index: 360519 (C4 (Web Text))
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Text #15
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Data Index: 85348 (C4 (Web Text))
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Text #16
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Data Index: 1101177 (C4 (Web Text))
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Text #17
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Data Index: 81628 (C4 (Web Text))
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Text #18
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Data Index: 1473972 (Python Code)
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Text #19
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Data Index: 1445291 (Python Code)
Max Activating Token Index: 46
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