This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

Ablate

Understand and measure refusal behavior in open-source LLMs.

Ablate — directional ablation (abliteration) toolkit for open-source LLMs. Automatic censorship/refusal removal via residual-stream direction ablation, with KL-guided search, an LLM-judge harness, and one-call push to the Hub.

Top comment

Hey Product Hunt! 👋 I'm Sonu, founder of AI Anytime. I built Ablate to make research into LLM refusal behavior more systematic and measurable. Transformer models encode complex behaviors in their internal representations. Ablate gives researchers a practical workflow to investigate those representations and test what happens when specific directions are modified. 🔬 What you can do with Ablate: 1. Extract candidate refusal directions from model activations 2. Experiment with runtime and permanent weight ablation 3. Automatically tune interventions using KL divergence 4. Compare baseline and modified models using evaluation benchmarks and LLM judges 5. Explore the workflow through a local browser UI or Python API One lesson from building this: removing obvious refusal phrases is not the same as demonstrating genuine behavioral change. Evaluation quality matters. I'd love feedback from researchers and ML engineers: What would make this toolkit more useful for studying model behavior, robustness, and safety? 🔗 GitHub: https://github.com/AIAnytime/ablate

About Ablate on Product Hunt

“Understand and measure refusal behavior in open-source LLMs.”

Ablate was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #119 on the daily leaderboard. Ablate — directional ablation (abliteration) toolkit for open-source LLMs. Automatic censorship/refusal removal via residual-stream direction ablation, with KL-guided search, an LLM-judge harness, and one-call push to the Hub.

On the analytics side, Ablate competes within Developer Tools, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Ablate performed against the three products that launched closest to it on the same day.

Who hunted Ablate?

Ablate was hunted by AI Anytime. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Ablate including community comment highlights and product details, visit the product overview.