Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1087 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1216580 (C4 (Web Text))
Max Activating Token Index: 336
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Text #1
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Data Index: 903961 (C4 (Web Text))
Max Activating Token Index: 688
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Text #2
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Data Index: 1046340 (C4 (Web Text))
Max Activating Token Index: 401
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Text #3
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Data Index: 1102622 (C4 (Web Text))
Max Activating Token Index: 149
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Text #4
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Data Index: 392295 (C4 (Web Text))
Max Activating Token Index: 325
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Text #5
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Data Index: 515518 (C4 (Web Text))
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Text #6
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Data Index: 445912 (C4 (Web Text))
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Text #7
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Data Index: 1223824 (C4 (Web Text))
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Text #8
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Data Index: 813060 (C4 (Web Text))
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Text #9
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Data Index: 1176605 (C4 (Web Text))
Max Activating Token Index: 305
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Text #10
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Data Index: 753372 (C4 (Web Text))
Max Activating Token Index: 452
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Full Text #10
Text #11
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Data Index: 1141409 (C4 (Web Text))
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Text #12
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Data Index: 1263738 (C4 (Web Text))
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Text #13
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Data Index: 1151042 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 669878 (C4 (Web Text))
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Text #16
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Data Index: 1182376 (C4 (Web Text))
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Text #17
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Text #18
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Data Index: 857064 (C4 (Web Text))
Max Activating Token Index: 324
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Text #19
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Data Index: 1144888 (C4 (Web Text))
Max Activating Token Index: 486
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