Over the past time I collected some interesting mechanistic interpretability papers - trying to understand the information processing in AI systems.
Since I'm not an expert, I delegated some of the work to AI itself 🙃
Why I find it interesting? Well, the field of "AI neuroscience" is emerging. This, firstly, brings two fields closer together (neuroAI doesn't count). Second, I believe both understanding of AI and the brain can be advanced by testing theories on the systems where everything can be measured and controlled.
Of course, LLMs are far from natural biological nervous systems, but I believe there are fundamental information processing principles that are shared.
💡Some insights: > Activations in RNNs mirror the statistics of their input data > Apparently chunking of computations is present akin to brain's hierarchical processing > "Grandmother cell" are real but sparse, distributed processing is more likely to be happening
Over the past time I collected some interesting mechanistic interpretability papers - trying to understand the information processing in AI systems.
Since I'm not an expert, I delegated some of the work to AI itself 🙃
Why I find it interesting? Well, the field of "AI neuroscience" is emerging. This, firstly, brings two fields closer together (neuroAI doesn't count). Second, I believe both understanding of AI and the brain can be advanced by testing theories on the systems where everything can be measured and controlled.
Of course, LLMs are far from natural biological nervous systems, but I believe there are fundamental information processing principles that are shared.
💡Some insights: > Activations in RNNs mirror the statistics of their input data > Apparently chunking of computations is present akin to brain's hierarchical processing > "Grandmother cell" are real but sparse, distributed processing is more likely to be happening
Have a look, it's fun 🙂
BY the last neural cell
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The original Telegram channel has expanded into a web of accounts for different locations, including specific pages made for individual Russian cities. There's also an English-language website, which states it is owned by the people who run the Telegram channels. So, uh, whenever I hear about Telegram, it’s always in relation to something bad. What gives? And while money initially moved into stocks in the morning, capital moved out of safe-haven assets. The price of the 10-year Treasury note fell Friday, sending its yield up to 2% from a March closing low of 1.73%. Investors took profits on Friday while they could ahead of the weekend, explained Tom Essaye, founder of Sevens Report Research. Saturday and Sunday could easily bring unfortunate news on the war front—and traders would rather be able to sell any recent winnings at Friday’s earlier prices than wait for a potentially lower price at Monday’s open. Telegram has gained a reputation as the “secure” communications app in the post-Soviet states, but whenever you make choices about your digital security, it’s important to start by asking yourself, “What exactly am I securing? And who am I securing it from?” These questions should inform your decisions about whether you are using the right tool or platform for your digital security needs. Telegram is certainly not the most secure messaging app on the market right now. Its security model requires users to place a great deal of trust in Telegram’s ability to protect user data. For some users, this may be good enough for now. For others, it may be wiser to move to a different platform for certain kinds of high-risk communications.
from ca
