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THE MINDS

SECTION 01

ISSUE 001

PROJECTIONinstitution1-3yconfidence / medium

Public Sparse-Circuit Observatories

Projection: independent laboratories will build searchable observatories of model features, circuits, interventions, and failed replications. Comparing the same behavior across architectures and training runs would turn interpretability into cumulative science. The most valuable entry may be the mechanism that disappeared when another team tried to reproduce it.

Why this idea is here

What the evidence establishes.

Sparse-circuit research offers tractable model substrates; causal abstraction supplies common concepts for comparing interpretability methods.

Source ledger

Read the sources.

  1. S01
    Understanding Neural Networks Through Sparse Circuits

    primary interpretability research / published 2025-11-13 / retrieved 2026-07-09

  2. S02
    Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

    peer-reviewed theory paper / published 2025-04-01 / retrieved 2026-07-09

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