Multimodal Neurons in Artificial Neural Networks (w/ OpenAI Microscope, Research Paper Explained)

#openai #clip #microscope OpenAI does a huge investigation into the inner workings of their recent CLIP model via faceted feature visualization and finds amazing things: Some neurons in the last layer respond to distinct concepts across multiple modalities, meaning they fire for photographs, drawings, and signs depicting the same concept, even when the images are vastly distinct. Through manual examination, they identify and investigate neurons corresponding to persons, geographical regions, religions, emotions, and much more. In this video, I go through the publication and then I present my own findings from digging around in the OpenAI Microscope. OUTLINE: 0:00 - Intro & Overview 3:35 - OpenAI Microscope 7:10 - Categories of found neurons 11:10 - Person Neurons 13:00 - Donald Trump Neuron 17:15 - Emotion Neurons 22:45 - Region Neurons 26:40 - Sparse Mixture of Emotions 28:05 - Emotion Atlas 29:45 - Adversarial Typographic Attacks 31:55 - Stroop Test 33:10 - My Findings in OpenAI Microscope 33:30 - Superman Neuron 33:50 - Resting B*tchface Neuron 34:10 - Trash Bag Neuron 35:25 - God Weightlifting Neuron 36:40 - Organ Neuron 38:35 - Film Spool Neuron 39:05 - Feather Neuron 39:20 - Spartan Neuron 40:25 - Letter E Neuron 40:35 - Cleanin Neuron 40:45 - Frown Neuron 40:55 - Lion Neuron 41:05 - Fashion Model Neuron 41:20 - Baseball Neuron 41:50 - Bride Neuron 42:00 - Navy Neuron 42:30 - Hemp Neuron 43:25 - Staircase Neuron 43:45 - Disney Neuron 44:15 - Hillary Clinton Neuron 44:50 - God Neuron 45:15 - Blurry Neuron 45:35 - Arrow Neuron 45:55 - Trophy Presentation Neuron 46:10 - Receding Hairline Neuron 46:30 - Traffic Neuron 46:40 - Raised Hand Neuron 46:50 - Google Maps Neuron 47:15 - Nervous Smile Neuron 47:30 - Elvis Neuron 47:55 - The Flash Neuron 48:05 - Beard Neuron 48:15 - Kilt Neuron 48:25 - Rainy Neuron 48:35 - Electricity Neuron 48:50 - Droplets Neuron 49:00 - Escape Neuron 49:25 - King Neuron 49:35 - Country Neuron 49:45 - Overweight Men Neuron 49:55 - Wedding 50:05 - Australia Neuron 50:15 - Yawn Neuron 50:30 - Bees & Simpsons Neuron 50:40 - Mussles Neuron 50:50 - Spice Neuron 51:00 - Conclusion Paper: https://ift.tt/3sTizHR My Findings: https://ift.tt/3sVJ5jR My Video on CLIP: https://youtu.be/T9XSU0pKX2E My Video on Feature Visualizations & The OpenAI Microscope: https://youtu.be/Ok44otx90D4 Abstract: In 2005, a letter published in Nature described human neurons responding to specific people, such as Jennifer Aniston or Halle Berry. The exciting thing wasn’t just that they selected for particular people, but that they did so regardless of whether they were shown photographs, drawings, or even images of the person’s name. The neurons were multimodal. As the lead author would put it: "You are looking at the far end of the transformation from metric, visual shapes to conceptual... information." We report the existence of similar multimodal neurons in artificial neural networks. This includes neurons selecting for prominent public figures or fictional characters, such as Lady Gaga or Spiderman. Like the biological multimodal neurons, these artificial neurons respond to the same subject in photographs, drawings, and images of their name. Authors: Gabriel Goh, Nick Cammarata, Chelsea Voss, Shan Carter, Michael Petrov, Ludwig Schubert, Alec Radford, Chris Olah Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/3dJpBrR BitChute: https://ift.tt/38iX6OV Minds: https://ift.tt/37igBpB Parler: https://ift.tt/38tQU7C LinkedIn: https://ift.tt/2Zo6XRA BiliBili: https://ift.tt/3mfyjkW If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/2DuKOZ3 Patreon: https://ift.tt/390ewRH Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n