#mechanisticinterpretability
Live, measured metrics for the hashtag #mechanisticinterpretability from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mechanisticinterpretability
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-31 16:32 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-31 16:32 UTCNo related tags with measured usage found for #mechanisticinterpretability.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-31 16:32 UTCEverything below is measured over the latest 25 public posts (spanning ~31697 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (20) · Russian (1)
Avg boosts / post: 0.4
Top of the latest posts
"But every once in a while, Claude breaks bad. It lies. It deceives. It develops weird obsessions. It makes threats and then carries them out. And the frustrating part—true of all LLMs—is that no one knows exactly why." @stevenlevy for Wire
The Pose at the Teller Window A customer can now hand an AI agent the keys to a bank account. Their instruction can be as casual as “help me pay my bills.” The agent enters with valid credentials, and the bank sees an ordinary login. Their
Chubby♨️ (@kimmonismus) 2020년 'Zoom In' 논문의 공저자 Nick Cammarata가 신경망이 서로 무관한 개념을 동일 뉴런에 접는다는 기존 해석가능성 분야의 핵심 증거가 잘못 해석됐을 수 있다고 밝혔다. 뉴런 단위 표현 해석과 polysemanticity 관련 연구의 전제 재검토로 이어질 수 있는 관찰이다. https://x.com/kimmonismus/status/21110387548402815
#mechanisticinterpretability across platforms
every network with a public tag surfaceFollow #mechanisticinterpretability 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/mechanisticinterpretability