firstuserhere

firstuserhere's Stars

• Jazhyc/llm-sandbag-activation-steering

  Language:Jupyter Notebook1

• roedoejet/AnyLanguage-Word-Guessing-Game

  A word guessing game that can be modified and translated to your language!

  Language:TypeScript42192

• SambhavG/dine

  Language:Svelte8

• OlineRanum/Ponita_SLR

  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.

  Language:Python1

• sfcompute/tinynarrations

  A synthetic story narration dataset to study small audio LMs.

  Language:Python273

• michaelneuper/hugo-texify3

  A LaTeX-style hugo theme with the gruvbox color scheme for personal blogging

  Language:JavaScript4015

• randomaccess2023/MG2023

  Language:Jupyter Notebook3

• kakaobrain/rq-vae-transformer

  The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

  Language:Jupyter Notebook72579

• facebookresearch/llm-transparency-tool

  LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/llm-transparency-tool-demo

  Language:Python67946

• YannDubs/disentangling-vae

  Experiments for understanding disentanglement in VAE latent representations

  Language:Python778145

• 1Konny/Beta-VAE

  Pytorch implementation of β-VAE

  Language:Python509125

• neverix/saex

  SAEs in Jax

  Language:Python31

• kronusaturn/lw2-viewer

  An alternative frontend for LessWrong 2.0

  Language:Common Lisp586

• PAIR-code/lit

  The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

  Language:TypeScript3.4k350

• JohnVinyard/matching-pursuit

  This repository contains research and experiments aimed at producing sparse, interpretable representations of audio.

  Language:HTML1

• evanhanders/superposition-geometry-toys

  Experiments for running toy models of superposition as in Anthropic's 2022 paper. These experiments focus on superposition of composed features.

  Language:Jupyter Notebook4

• shacharKZ/VISIT-Visualizing-Transformers

  Language:Python221

• saprmarks/feature-circuits

  Language:Python639

• Nix07/finetuning

  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking".

  Language:Jupyter Notebook151

• callummcdougall/sae_vis

  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).

  Language:HTML9622

• fletchel/aisc_oocl_experiments

  experiments trying to elicit out of context learning when training a transformer on a simple task

  Language:Jupyter Notebook14

• thestephencasper/everything-you-need

  we got you bro

  29

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook55.4k28.3k

• amlweems/xzbot

  notes, honeypot, and exploit demo for the xz backdoor (CVE-2024-3094)

  Language:Go3.5k235

• Baidicoot/sae_alternatives

  Language:Jupyter Notebook1

• openai/grok

  Language:Python4.1k507

• StavC/ComPromptMized

  ComPromptMized: Unleashing Zero-click Worms that Target GenAI-Powered Applications

  Language:Python18322

• openai/transformer-debugger

  Language:Python4k232

• lucidrains/x-transformers

  A simple but complete full-attention transformer with a set of promising experimental features from various papers

  Language:Python4.4k370

• typeling1578/Year-Progress-Bar

  Language:HTML55