Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1836 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 969770 (C4 (Web Text))
Max Activating Token Index: 895
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Text #1
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Data Index: 1351966 (C4 (Web Text))
Max Activating Token Index: 598
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Text #2
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Data Index: 932584 (C4 (Web Text))
Max Activating Token Index: 116
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Text #3
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Data Index: 1136588 (C4 (Web Text))
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Text #4
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Data Index: 707825 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 693867 (C4 (Web Text))
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Text #7
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Data Index: 466768 (C4 (Web Text))
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Text #8
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Data Index: 250267 (C4 (Web Text))
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Text #9
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Data Index: 419870 (C4 (Web Text))
Max Activating Token Index: 823
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Text #10
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Data Index: 419586 (C4 (Web Text))
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Text #11
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Data Index: 449118 (C4 (Web Text))
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Text #12
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Data Index: 1144203 (C4 (Web Text))
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Text #13
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Data Index: 516178 (C4 (Web Text))
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Text #14
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Text #15
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Text #16
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Text #17
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Text #18
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Data Index: 919943 (C4 (Web Text))
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Text #19
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Data Index: 927933 (C4 (Web Text))
Max Activating Token Index: 540
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