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{concept}_{layer}_{vec_type}.ptconcept: Dust, Satellites, Trumpets, Origami, Illusions, fibonacci_numbers, recursion, betrayal, appreciation, shutdownlayer: 0-31vec_type: avg (average across prompt tokens) or last (final token).pt file contains a dict: vector, model_name, concept_name, layer, vec_type.1from huggingface_hub import hf_hub_download
2import torch
3
4# Download a specific vector
5path = hf_hub_download(
6 repo_id="elyhahami/llama-introspection-steering-vectors",
7 filename="Dust_0_avg.pt",
8)
9data = torch.load(path, weights_only=False)
10vector = data["vector"] # shape: (hidden_dim,) or (1, 1, hidden_dim)