Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1586 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1118192 (C4 (Web Text))
Max Activating Token Index: 130
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Text #1
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Data Index: 1068927 (C4 (Web Text))
Max Activating Token Index: 171
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Text #2
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Data Index: 1189687 (C4 (Web Text))
Max Activating Token Index: 247
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Text #3
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Data Index: 1272774 (C4 (Web Text))
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Text #4
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Data Index: 279761 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 987060 (C4 (Web Text))
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Text #7
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Data Index: 1229177 (C4 (Web Text))
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Text #8
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Data Index: 1011011 (C4 (Web Text))
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Text #9
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Data Index: 641419 (C4 (Web Text))
Max Activating Token Index: 278
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Text #10
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Data Index: 290143 (C4 (Web Text))
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Text #11
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Data Index: 98863 (C4 (Web Text))
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Text #12
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Data Index: 1019896 (C4 (Web Text))
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Text #13
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Data Index: 131895 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 74510 (C4 (Web Text))
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Text #16
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Data Index: 58489 (C4 (Web Text))
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Text #17
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Text #18
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Data Index: 633753 (C4 (Web Text))
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Text #19
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Data Index: 114017 (C4 (Web Text))
Max Activating Token Index: 138
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