#interpretability
Live, measured metrics for the hashtag #interpretability from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #interpretability
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-12 21:53 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-12 21:53 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-12 21:53 UTCEverything below is measured over the latest 40 public posts (spanning ~4187 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (36) · German (1) · Spanish (1) · Ukrainian (1)
Avg boosts / post: 0
Top of the latest posts
"y=Xβ+ϵ and the interpretation of the coefficients" Derek L. Sonderegger (2020), Statistical Methods: https://bookdown.org/dereksonderegger/571/ #probabilities #stats #statistics #ML #linearRegression #interpretability #RStats
HackerNewsTop5 (@hackernewstop5) LLM 내부 표현을 선형 방향(probe)으로 읽어 ‘진실성’을 판별하려는 접근을 타르스키의 진리 이론 관점에서 비판한다. 모델 activation probe가 사실성·믿음·문장 의미를 안정적으로 분리해 측정한다는 가정의 철학적·방법론적 한계를 다루며, LLM 해석가능성과 평가 설계에 시사점을 준다. https://x.com/hackernewstop5/status/20
The J-space: The subconscious of language models. I don't have room here to explain "residual stream" and "Jacobian lens" ("Jacobian" is where the "J" comes from), but the idea here is Anthropic figured out a trick for peering into models a
What “interpretability” means
WikipediaIn mathematical logic, interpretability is a relation between formal theories that expresses the possibility of interpreting or translating one into the other.
“Interpretability” on Wikipedia (CC BY-SA) →#interpretability across platforms
every network with a public tag surfaceFollow #interpretability straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/interpretability