Dataset card: note response provenance

README.md

@@ -79,9 +79,10 @@ Each cluster is named after its medoid value.
    added as a suffix.
 2. **Persona vectors.** One persona vector per value, extracted from
    OLMo-3.1-32B-Instruct-SFT with the
-   [persona vectors](https://github.com/safety-research/persona_vectors) recipe:
-   take the difference of mean response-token activations between responses that
-   express the value and responses that do not (`response_avg_diff` pooling), at
+   [persona vectors](https://github.com/safety-research/persona_vectors) recipe.
+   An OLMo-3 7B model generated contrastive responses, some expressing the value and
+   some not. Each vector is the difference of mean response-token activations
+   between the two sets (`response_avg_diff` pooling), read from the 32B model at
    layer 32.
 3. **Clustering.** We computed the 266×266 cosine-similarity grid of these vectors
    and partitioned it with k-medoids at k=4.