Multimodal neurons in artificial neural networks
What changed
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar models learn.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- CLIP: Connecting text and images
- Visual Salamandra: Pushing the Boundaries of Multimodal Understanding
- Introducing Activation Atlases
Sources
- Multimodal neurons in artificial neural networks (openai-blog)primary