Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1465 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 909615 (C4 (Web Text))
Max Activating Token Index: 108
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Text #1
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Data Index: 1209831 (C4 (Web Text))
Max Activating Token Index: 15
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Text #2
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Data Index: 1233978 (C4 (Web Text))
Max Activating Token Index: 122
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Data Index: 50757 (C4 (Web Text))
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Text #4
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Data Index: 237831 (C4 (Web Text))
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Text #5
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Data Index: 338487 (C4 (Web Text))
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Text #6
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Data Index: 397481 (C4 (Web Text))
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Text #7
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Data Index: 1003617 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 1341110 (C4 (Web Text))
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Text #10
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Data Index: 277218 (C4 (Web Text))
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Text #11
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Data Index: 1253872 (C4 (Web Text))
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Text #12
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Data Index: 721208 (C4 (Web Text))
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Text #13
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Data Index: 1049039 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1352919 (C4 (Web Text))
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Text #16
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Text #17
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Text #18
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Text #19
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Data Index: 415740 (C4 (Web Text))
Max Activating Token Index: 31
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