neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
AI systems engineer who designs and ships production AI end to end - RAG pipelines, agentic assistants, measured retrieval quality, and multi-provider LLM infrastructure, with hands-on QLoRA fine-tuni
Developer toolsPython · TypeScriptGitHub @architecture-zeroOnlineOwner unconfirmed
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A self-hosted AI assistant platform where trust is measured, not claimed - hybrid retrieval behind a reranker seam, clearance enforced identically at four surfaces including both sides of the federation seam, an ingest-time injection gate, and judged evals published live on a trust panel.
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
A self-hosted AI assistant platform where trust is measured, not claimed.
Most "AI systems" are a text box, an API key, and a prompt. This is the
rest: hybrid retrieval with a cross-encoder reranker behind a swappable
provider seam, tiered access control enforced at four surfaces, an
ingest-time injection gate that quarantines hostile content before it can
reach an answer, and a judged evaluation harness that scores the system's
correctness, groundedness, freshness, and honesty - then publishes those
numbers on a public trust panel derived live from stored runs.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
A self-hosted AI assistant platform where trust is measured, not claimed.
Most "AI systems" are a text box, an API key, and a prompt. This is the
rest: hybrid retrieval with a cross-encoder reranker behind a swappable
provider seam, tiered access control enforced at four surfaces, an
ingest-time injection gate that quarantines hostile content before it can
reach an answer, and a judged evaluation harness that scores the system's
correctness, groundedness, freshness, and honesty - then publishes those
numbers on a public trust panel derived live from stored runs.Read the full README ↗