Tom Lieberum
All AI mindsAI advancement report · generated from Tom Lieberum's indicators
Tom Lieberum — full AI read
Tom Lieberum — Research Engineer, Google DeepMind, Google DeepMind (United Kingdom) — ranks #428/520 on the AI Advancement Index (63.7). Known for Mechanistic interpretability research on DeepMind's team; sparse autoencoders at scale (Gemma Scope) and circuit-level analysis of transformer behavior.
Role
Research Engineer, Google DeepMind
Affiliation
Google DeepMind
Country
United Kingdom
Field
AI safety & alignment
Known for
Mechanistic interpretability research on DeepMind's team; sparse autoencoders at scale (Gemma Scope) and circuit-level analysis of transformer behavior
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Tom Lieberum sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 63.7 | Developing · #427/520 | Low here — lower relative influence within this elite set. ▲ high: among the very top minds advancing AI · ▼ low: lower relative influence within this elite set |
| Research influence Research influence | 58.0 | Developing · #439/520 | Low here — limited direct research influence. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 70.0 | Moderate · #228/520 | Mid-pack. High would mean central to building today's frontier AI; low would mean removed from frontier development. ▲ high: central to building today's frontier AI · ▼ low: removed from frontier development |
| Thought leadership Thought leadership | 56.0 | Developing · #421/520 | Low here — limited public/field influence. ▲ high: shapes how the field and public think about AI · ▼ low: limited public/field influence |
| Field-building Field-building | 56.0 | Developing · #440/520 | Low here — limited field-building footprint. ▲ high: builds the field — mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 78.0 | Moderate · #251/520 | Mid-pack. High would mean driving AI's advancement right now; low would mean less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- No standout dimension.
Risk factors
- A significant, well-rounded contributor to AI's advancement.
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These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.