Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1943 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 854217 (C4 (Web Text))
Max Activating Token Index: 661
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Full Text #0
Text #1
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Data Index: 702886 (C4 (Web Text))
Max Activating Token Index: 994
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Text #2
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Data Index: 293090 (C4 (Web Text))
Max Activating Token Index: 708
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Text #3
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Data Index: 384381 (C4 (Web Text))
Max Activating Token Index: 595
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Text #4
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Data Index: 1302462 (C4 (Web Text))
Max Activating Token Index: 94
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Text #5
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Data Index: 1086779 (C4 (Web Text))
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Text #6
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Data Index: 1301707 (C4 (Web Text))
Max Activating Token Index: 121
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Text #7
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Data Index: 377103 (C4 (Web Text))
Max Activating Token Index: 188
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Text #8
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Data Index: 177248 (C4 (Web Text))
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Text #9
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Data Index: 920739 (C4 (Web Text))
Max Activating Token Index: 184
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Text #10
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Data Index: 184767 (C4 (Web Text))
Max Activating Token Index: 244
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Full Text #10
Text #11
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Data Index: 61169 (C4 (Web Text))
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Text #12
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Data Index: 610918 (C4 (Web Text))
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Text #13
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Data Index: 1026603 (C4 (Web Text))
Max Activating Token Index: 284
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Text #14
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Data Index: 746929 (C4 (Web Text))
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Text #15
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Text #16
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Data Index: 6484 (C4 (Web Text))
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Text #17
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Data Index: 400219 (C4 (Web Text))
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Text #18
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Data Index: 773570 (C4 (Web Text))
Max Activating Token Index: 595
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Text #19
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Data Index: 949535 (C4 (Web Text))
Max Activating Token Index: 72
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