Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1194 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 59818 (C4 (Web Text))
Max Activating Token Index: 824
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Text #1
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Data Index: 563975 (C4 (Web Text))
Max Activating Token Index: 469
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Text #2
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Data Index: 264297 (C4 (Web Text))
Max Activating Token Index: 409
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Text #3
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Data Index: 900831 (C4 (Web Text))
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Text #4
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Data Index: 1211494 (C4 (Web Text))
Max Activating Token Index: 940
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Text #5
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Text #6
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Text #7
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Data Index: 824261 (C4 (Web Text))
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Text #8
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Data Index: 86973 (C4 (Web Text))
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Text #9
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Data Index: 901986 (C4 (Web Text))
Max Activating Token Index: 30
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Text #10
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Data Index: 106602 (C4 (Web Text))
Max Activating Token Index: 994
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Text #11
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Data Index: 50952 (C4 (Web Text))
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Text #12
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Data Index: 41480 (C4 (Web Text))
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Text #13
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Data Index: 416861 (C4 (Web Text))
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Text #14
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Data Index: 977619 (C4 (Web Text))
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Text #15
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Text #16
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Data Index: 720433 (C4 (Web Text))
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Text #17
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Text #18
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Data Index: 104198 (C4 (Web Text))
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Text #19
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Data Index: 619551 (C4 (Web Text))
Max Activating Token Index: 211
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