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Discussion (6 Comments)Read Original on HackerNews
You should even be able to create a j lens from scratch, but it might take a while. I was able to do it in a few hours on an H100. Creating the J lens is basically the equivalent of calculating a few thousand training steps for a model (256,000 backprops in my case). I've got more details in a blog post:
https://blog.lwarfield.dev/layer-scope/
I'm currently at work and can't those matrixes up until I get home. I'll update this comment with a link later.
https://huggingface.co/eyes-ml/Qwen3.8-27B_jacobian-lens
If you provide free chatbot services, but sell advertisers bids on which steering vectors to use to bias towards products, based on an embedding of the prompt, I bet you'd make a ton of money. For example, Coca Cola would bid on prompts about drinks, and bias towards mentioning Coke products.
I wonder if you could also use a similar method to do product placement in GenAI images and videos, and whether ad revenue would be enough to offset the price of generation. Some ad bids can go pretty high...
Even with basic experiments I've done, it frequently introduces much more hallucination etc and allowing arbitrary steering...
Not to mention you just can't trust a model's judgement if the highest bidder chooses what it thinks