Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1532 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 393967 (C4 (Web Text))
Max Activating Token Index: 281
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Text #1
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Data Index: 440758 (C4 (Web Text))
Max Activating Token Index: 633
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Text #2
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Data Index: 1445111 (Python Code)
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Data Index: 1518405 (Python Code)
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Text #4
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Data Index: 1145921 (C4 (Web Text))
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Text #5
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Data Index: 1073757 (C4 (Web Text))
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Text #6
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Data Index: 748908 (C4 (Web Text))
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Text #7
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Data Index: 106926 (C4 (Web Text))
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Text #8
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Data Index: 1322579 (C4 (Web Text))
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Text #9
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Data Index: 1396968 (Python Code)
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Text #10
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Data Index: 1470742 (Python Code)
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Text #11
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Data Index: 722891 (C4 (Web Text))
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Text #12
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Data Index: 56819 (C4 (Web Text))
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Text #13
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Data Index: 1240499 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1165224 (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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Data Index: 228143 (C4 (Web Text))
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Text #19
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Data Index: 1392351 (Python Code)
Max Activating Token Index: 161
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