Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 64 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 126559 (C4 (Web Text))
Max Activating Token Index: 794
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Text #1
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Data Index: 491583 (C4 (Web Text))
Max Activating Token Index: 809
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Text #2
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Data Index: 1421193 (Python Code)
Max Activating Token Index: 439
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Text #3
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Data Index: 52263 (C4 (Web Text))
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Text #4
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Data Index: 1654760 (Python Code)
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Text #5
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Data Index: 407014 (C4 (Web Text))
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Text #6
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Text #7
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Data Index: 334503 (C4 (Web Text))
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Text #8
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Data Index: 857749 (C4 (Web Text))
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Text #9
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Data Index: 274020 (C4 (Web Text))
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Text #10
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Data Index: 442818 (C4 (Web Text))
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Text #11
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Data Index: 64129 (C4 (Web Text))
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Text #12
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Data Index: 517724 (C4 (Web Text))
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Text #13
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Data Index: 174258 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 799828 (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: 618416 (C4 (Web Text))
Max Activating Token Index: 908
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