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I literally want this

Imagine not knowing Nagato is female.

I like this simple explanation with the video editing thanks!

LOOK UP CONCEPT BOTTLENECK GENERATIVE MODELS - JULIUS ADEBAYO's work!

"I think there might just be connections between internal conflict and hate speech" At this point are we learning about the neural network...or are we learning about ourselves? 🤯

you know, i'm a bit of a Golden Gate Bridge myself 🧐…

It makes perfect sense for different AIs to learn similar representations of the same reality. This is similar to how science works.

Yoo that LLM'S Anime edit hit hardddd😂😂

8:06 Lol they gave Claude depression

What would be the best llm for math?

That text-to-deepfake turned Gwen Stacy to Maddie Zeigler in ‘Music’ 💀

Company make ai for scammers human do jail time

👏👏👏👏{Owen Wilson wow} I'm impressed. 🤨

Can someone please dumb it down to me i can't understand 😭

worst communicator

bro stop copying fireships thumbnails. be original

So basically, the same story as with DNA sequencing all over again. We don't know what exactly it does, but we can assume with a certain level of confidence.

so what you mean is that because LLM has too much knowledge and it bloated the NN due to overfitting...now we just prune the NN and let the most distintive feature to shine and find out it has deeper understanding of the topic? No way that is not going to underfit.

I read the title as “I am at the Golden Gate Bridge and why that is important” and I immediately thought of dark humor thoughts 😂

I've been messing with nn since tensorflow 1.0. at that time a lot of ppl in my lab was doing mechanistic interpretability (we were a programming language group). I've been bearish on interpretability since then.

That list at 7:40 says a lot about the political leaning of Anthropic and what they mean when they talk about "AI safety".

You confused a Sparse Autoencoder with a Dense one. All visualizations showed a dense one. Sparse Autoencoder have a larger amount of neurons in the hidden layer. The reason is, that with this autoencoder, the 'superpositions' should be broken down.

Claude just released Sonnet 3.5

Isn't this really just one shadow of the model from one direction?

Oh God. I think I might be a nerd

well, logically hallucinations makes sense, if you were asked where the "Liberty Statue" is and would not know the exact location, you would not drop dead with your heart and breath stopping, you would give the closest answer you think. while Wikipedia says: "Liberty Island in New York Harbor, within New York City." most will default to New York City or at least America. in other words, you need an answer even if it is the wrong one to move on and continue functioning.

I don't buy it. How do they represent feature at all? For classification problem that is ok, but for words, decoding embeddings into embeddings is whatever. 65% is quite low result

One Piece Memes in an AI-Video = EXTREMELY LARGE WIN!

Please stop pretending to be Fireship in your thumbnails.

More videos more advanced on this topic please!

I dont understand why this is useful tho. Like, isnt the whole point of AI to find patterns that we cant?

just find a way to somehow train / finetune both the llm and sae, being a able to create an ad generating/targeting model with appropriate censorship would bring them back all those money anyway

Plato's cave has nothing to do with Platonic Representation. Platonic Representation comes from the idea that everything has 1 fundamental identity. we all know a chair when we see one. it will always look like a chair to us no matter the colour or other general characteristics, or whether we read about a chair in text or we see a picture.

best AI channel period. Just too technical for the mainstream

This looks like a massive, incredibly important step if they can actually take advantage of it to make the models better

Leaving model size for "safety reasons" Yeah, Anthropic is just another OpenAI. Let them bear fruit then put them in the monopoly crusher.