Update README.md

README.md

@@ -4,6 +4,28 @@ atlas_type: activation census + Sub-Zero brain atlas
 corpus: 9,523 diverse prompts
 layers: 28
 sacred_layers: 18-27
+license: mit
+task_categories:
+- feature-extraction
+language:
+- en
+tags:
+- SAE
+- mechinterp
+- mechanistic-interpretability
+- sparse-autoencoders
+- monosemanticity
+- feature-extraction
+- vibe-thinker
+- interpretability
+- atlas
+- dataset
+- neural-network
+- model-analysis
+- layer-analysis
+pretty_name: VibeThinker-3B Brain Atlas
+size_categories:
+- 100K<n<1M
 ---
 
 # VibeThinker-1.5B Brain Atlas
@@ -60,4 +82,4 @@ Sub-Zero classifier accuracy drops to **0.75–0.83** around layers 13–17, the
 
 ## Bottom line
 
-VibeThinker-1.5B behaves like a compact reasoning model: distributed attention, broad-feature MLPs, and a deep-but-narrow sacred region where a small number of directions carry most of the task load. It is interpretable, but not easy to edit safely because its late layers are not highly redundant.
+VibeThinker-1.5B behaves like a compact reasoning model: distributed attention, broad-feature MLPs, and a deep-but-narrow sacred region where a small number of directions carry most of the task load. It is interpretable, but not easy to edit safely because its late layers are not highly redundant.