Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2002 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1210188 (C4 (Web Text))
Max Activating Token Index: 850
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Text #1
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Data Index: 397309 (C4 (Web Text))
Max Activating Token Index: 127
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Text #2
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Data Index: 379766 (C4 (Web Text))
Max Activating Token Index: 191
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Text #3
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Data Index: 373382 (C4 (Web Text))
Max Activating Token Index: 829
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Text #4
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Data Index: 734930 (C4 (Web Text))
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Text #5
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Data Index: 381337 (C4 (Web Text))
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Text #6
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Data Index: 814629 (C4 (Web Text))
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Text #7
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Data Index: 876950 (C4 (Web Text))
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Text #8
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Data Index: 136540 (C4 (Web Text))
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Text #9
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Data Index: 1114214 (C4 (Web Text))
Max Activating Token Index: 37
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Text #10
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Data Index: 11574 (C4 (Web Text))
Max Activating Token Index: 332
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Text #11
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Data Index: 1128424 (C4 (Web Text))
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Text #12
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Data Index: 285468 (C4 (Web Text))
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Text #13
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Data Index: 242592 (C4 (Web Text))
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Text #14
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Data Index: 1130501 (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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Data Index: 579596 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 890934 (C4 (Web Text))
Max Activating Token Index: 151
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