Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 169 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 775553 (C4 (Web Text))
Max Activating Token Index: 343
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Text #1
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Data Index: 1317106 (C4 (Web Text))
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Text #2
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Data Index: 1107814 (C4 (Web Text))
Max Activating Token Index: 274
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Text #3
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Data Index: 133536 (C4 (Web Text))
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Text #4
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Data Index: 606500 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 841444 (C4 (Web Text))
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Text #7
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Data Index: 600371 (C4 (Web Text))
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Text #8
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Data Index: 578139 (C4 (Web Text))
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Text #9
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Data Index: 1094510 (C4 (Web Text))
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Text #10
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Data Index: 304396 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 448037 (C4 (Web Text))
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Text #13
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Data Index: 1114937 (C4 (Web Text))
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Text #14
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Text #15
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Text #16
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Text #17
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Data Index: 290636 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 756223 (C4 (Web Text))
Max Activating Token Index: 48
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