Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1966 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 464062 (C4 (Web Text))
Max Activating Token Index: 330
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Full Text #0
Text #1
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Data Index: 987353 (C4 (Web Text))
Max Activating Token Index: 817
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Text #2
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Data Index: 971665 (C4 (Web Text))
Max Activating Token Index: 826
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Text #3
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Data Index: 1057825 (C4 (Web Text))
Max Activating Token Index: 128
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Text #4
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Data Index: 831456 (C4 (Web Text))
Max Activating Token Index: 718
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Text #5
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Data Index: 863803 (C4 (Web Text))
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Text #6
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Data Index: 775960 (C4 (Web Text))
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Text #7
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Data Index: 1256092 (C4 (Web Text))
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Text #8
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Data Index: 584033 (C4 (Web Text))
Max Activating Token Index: 170
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Text #9
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Data Index: 413225 (C4 (Web Text))
Max Activating Token Index: 836
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Text #10
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Data Index: 522033 (C4 (Web Text))
Max Activating Token Index: 307
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Text #11
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Data Index: 872431 (C4 (Web Text))
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Text #12
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Data Index: 1357795 (C4 (Web Text))
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Text #13
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Data Index: 1193278 (C4 (Web Text))
Max Activating Token Index: 8
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Text #14
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Data Index: 751085 (C4 (Web Text))
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Text #15
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Data Index: 1286472 (C4 (Web Text))
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Text #16
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Data Index: 522203 (C4 (Web Text))
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Text #17
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Data Index: 827467 (C4 (Web Text))
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Text #18
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Data Index: 1246542 (C4 (Web Text))
Max Activating Token Index: 501
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Text #19
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Data Index: 1213774 (C4 (Web Text))
Max Activating Token Index: 956
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