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muat-pca-10-medium – Dataset by maximuspowers | AlphaNeural AI
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Subject Models for Interpretability Training
These examples are intended for training an interpreter to:
Identify what patterns a model classifies as positive based on an activation signature, with examples of: trained model + signature → pattern identification.
Signature Extraction
Neuron Profile Methods pca
Prompt Format separate
Signature Dataset configs/dataset_gen/signature_dataset.json
Model Architecture
Number of Layers 8 to 10
Neurons per… See the full description on the dataset page:
https://huggingface.co/datasets/maximuspowers/muat-pca-10-medium
.
