concept
active
concept:alignment-mapAlignment Map (ϕ)
The bijective function mapping DNN inner neurons to latent variables in causal abstraction; its complexity is the central variable studied
Neighborhood — ranked by edge-count
Concepts (5)
concept
- Alignmentrelated_toThe goal of making model behavior match human values and intentions, often addressed during post-training.
- A framework the paper uses alongside feature geometry to deepen mechanistic understanding of LMs
- Grokkingassociated_withObserved in IOI alignment map training where IIA stays low for many steps then quickly jumps
- Latent Variables in Distributed Abstractionassociated_withOutput of alignment map ϕ applied to DNN hidden states; basis for distributed causal abstraction
- Generalised notion restricting alignment maps to a family V; linearity is special case
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Simplest alignment map ϕ(h)=h, equivalent to assuming privileged bases hypothesis
- Alignment map ϕ(h)=W_orth*h using orthogonal matrix; assumes linear representation hypothesis
- Alignment map implemented as a reversible residual network (RevNet); assumes non-linear representation hypothesis
- A learnable invertible transformation in DAS that maps neural representations to a basis aligned with causal variables
- The problem of ensuring AI systems adopt values compatible with human welfare — argued to be a perennial problem already present in child-rearing
- Field within which this work has implications for evaluating alignment progress.
- The only statistically significant predictor of koan battery scores (p=0.006); includes Constitutional AI, RLHF, SFT, roleplay, empathy
- Measure of similarity between the similarity structures (kernels) induced by two different representations