Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2043 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Max Act: 3.3827. Min Act: -0.1700
Data Index: 1100446 (C4 (Web Text))
Max Activating Token Index: 994
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Text #1
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Data Index: 428965 (C4 (Web Text))
Max Activating Token Index: 312
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Text #2
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Data Index: 782327 (C4 (Web Text))
Max Activating Token Index: 919
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Text #3
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Data Index: 1289608 (C4 (Web Text))
Max Activating Token Index: 236
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Text #4
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Data Index: 862568 (C4 (Web Text))
Max Activating Token Index: 697
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Text #5
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Data Index: 245754 (C4 (Web Text))
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Text #6
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Data Index: 528814 (C4 (Web Text))
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Text #7
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Data Index: 488262 (C4 (Web Text))
Max Activating Token Index: 533
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Text #8
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Data Index: 958767 (C4 (Web Text))
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Text #9
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Data Index: 822972 (C4 (Web Text))
Max Activating Token Index: 501
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Text #10
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Data Index: 645826 (C4 (Web Text))
Max Activating Token Index: 250
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Text #11
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Data Index: 1076231 (C4 (Web Text))
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Text #12
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Data Index: 755422 (C4 (Web Text))
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Text #13
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Data Index: 1013017 (C4 (Web Text))
Max Activating Token Index: 987
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Text #14
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Data Index: 1114170 (C4 (Web Text))
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Text #15
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Data Index: 231493 (C4 (Web Text))
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Text #16
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Data Index: 1080213 (C4 (Web Text))
Max Activating Token Index: 895
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Text #17
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Data Index: 1237040 (C4 (Web Text))
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Text #18
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Max Activating Token Index: 948
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Text #19
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Data Index: 654128 (C4 (Web Text))
Max Activating Token Index: 507
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