Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1084 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1352496 (C4 (Web Text))
Max Activating Token Index: 990
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Text #1
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Data Index: 1375817 (Python Code)
Max Activating Token Index: 364
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Text #2
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Data Index: 592855 (C4 (Web Text))
Max Activating Token Index: 182
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Text #3
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Data Index: 1582865 (Python Code)
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Text #4
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Data Index: 1459304 (Python Code)
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Text #5
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Data Index: 1436313 (Python Code)
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Data Index: 1416478 (Python Code)
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Text #7
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Text #8
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Data Index: 1511777 (Python Code)
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Text #9
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Data Index: 1248395 (C4 (Web Text))
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Data Index: 673246 (C4 (Web Text))
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Text #11
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Data Index: 669921 (C4 (Web Text))
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Text #12
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Data Index: 989467 (C4 (Web Text))
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Text #14
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Data Index: 588299 (C4 (Web Text))
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Text #15
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Data Index: 1568525 (Python Code)
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Text #16
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Text #17
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Data Index: 1508902 (Python Code)
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Text #18
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Data Index: 1516125 (Python Code)
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Text #19
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Data Index: 1364246 (Python Code)
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