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| 186 | + |
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| 189 | + background: var(--bg2); |
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| 196 | + </style> |
| 197 | +</head> |
| 198 | +<body> |
| 199 | + |
| 200 | +<!-- ── Hero ── --> |
| 201 | +<header class="pub-hero"> |
| 202 | + <p class="pub-title">Geometric Feature Invariance in SAEs: A Framework for Transferable Mechanistic Interpretability and Scalable AI Safety</p> |
| 203 | + <p class="pub-authors">Konstantinos Krampis · David Williams-King · David Chanin</p> |
| 204 | + <p class="pub-affil">City University of New York · ERA · University College London · 2026</p> |
| 205 | + <div class="buttons"> |
| 206 | + <a href="Krampis-SyntheticLLMs-2026.pdf" class="button btn-pdf">↓ Download PDF</a> |
| 207 | + <a href="presentation/" class="button btn-ghost">Slides</a> |
| 208 | + <a href="docs/" class="button btn-ghost">Docs</a> |
| 209 | + <a href="https://github.com/KKrampis/SyntheticLLMs" class="button btn-ghost">GitHub</a> |
| 210 | + </div> |
| 211 | +</header> |
| 212 | + |
| 213 | +<!-- ── Paper content rendered from markdown ── --> |
| 214 | +<main class="pub-content"> |
| 215 | +$body$ |
| 216 | +</main> |
| 217 | + |
| 218 | +<!-- ── Footer ── --> |
| 219 | +<footer class="pub-footer"> |
| 220 | + Targeted output: NeurIPS 2026 · |
| 221 | + <a href="Krampis-SyntheticLLMs-2026.pdf" style="color:#61afef;">Download PDF</a> |
| 222 | +</footer> |
| 223 | + |
| 224 | +</body> |
| 225 | +</html> |
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