home/categories/machine-learning/letta-ai-skills-letta-benchmarks-trajectory-feedback-model-extraction-relu-logits-skill-md
machine-learningdata-ai

model-extraction-relu-logits

Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill applies when tasked with recovering internal parameters (weights, biases) of a neural network that can only be queried for outputs, particularly two-layer ReLU networks. Use this skill for model extraction, model stealing, or neural network reverse engineering tasks.

letta-ai
maintainer
letta-ai
Updated 1/19/2026
Stars
31
Forks
5
quick start

Installation and usage

Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill applies when tasked with recovering internal parameters (weights, biases) of a neural network that can only be queried for outputs, particularly two-layer ReLU networks. Use this skill for model extraction, model stealing, or neural network reverse engineering tasks.

Installation
$ install --globalskills.sh
Usage

Once installed, you can use this skill by running the following command in your terminal:

skills use model-extraction-relu-logits