Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1819 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1427642 (Python Code)
Max Activating Token Index: 751
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Text #1
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Data Index: 355780 (C4 (Web Text))
Max Activating Token Index: 825
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Text #2
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Data Index: 435109 (C4 (Web Text))
Max Activating Token Index: 736
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Text #3
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Data Index: 1180 (C4 (Web Text))
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Text #4
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Data Index: 867186 (C4 (Web Text))
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Text #5
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Text #6
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Text #7
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Text #8
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Text #9
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Data Index: 42770 (C4 (Web Text))
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Text #10
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Data Index: 379330 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 342891 (C4 (Web Text))
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Text #13
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Text #14
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Text #15
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Data Index: 1204383 (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: 738889 (C4 (Web Text))
Max Activating Token Index: 311
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