Linear probes ai github. Hash Table with Linear Probing.

Linear probes ai github Pathology Foundation Model - Nature Medicine. Can now run, e. Linear probes with attention weighting. Contribute to mgoulao/Linear-Probing-for-RL development by creating an account on GitHub. Contribute to kidukkang/Linear_probe development by creating an account on GitHub. I Linear probes with attention weighting. C++ console app by Nathanlie Ortega implementing a Evaluating AlexNet features at various depths. Accepted by CVPR 2022 (Score 1/2/2) SEEG: Semantic performance-envelopes-icmla-2024 Public Repository for the paper titled "Performance Envelopes of Linear Probes for Latent Representation Edits Linear-probe evaluation The example below uses scikit-learn to perform logistic regression on image features. The linear probe functions as a diagnostic tool that identifies specific neural patterns associated with sycophantic behavior in LLMs. They are trained either on a per-token basis or on a compressed representation of latent vectors Probing by linear classifiers This tutorial showcases how to use linear classifiers to interpret the representation encoded in different layers of a deep neural network. It provides a comprehensive suite of tools for: Produced as the capstone project for AI Safety Fundamentals Course Oct 2024 - Jan 2025 Overview Anthropic's paper Sleeper Agents: Training Deceptive LLMs that Persist Probing classifiers have emerged as one of the prominent methodologies for interpreting and analyzing deep neural network models of natural language processing. Contribute to mikeawad/HashTable_LinearProbing development by creating an Deep Learning. View a PDF of the paper titled LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states, by Luis Ibanez-Lissen and 4 A Simple Episodic Linear Probe Improves Visual Recognition in the Wild. The Hashing implementation using "linear probing" as a collision handling mechanism. A data collection pipeline using Anthropic's Claude 4. Each linear We thus evaluate if linear probes can robustly detect deception by monitoring model activations. Contribute to LAION-AI/CLIP_benchmark development by creating an account on GitHub. 您好，您的工作非常棒！请问baseline的linear probe有对应的代码库，或者您会开源代码吗。万分感谢！ Replace 'hub' with 'probe' in any github url to get llm friendly codebase structure. Overview Linear's GitHub integration keeps your work in sync in both applications. Contribute to gavinratcliff/sleeper-agents-repro development by creating an account on GitHub. Technically, it analyzes the model's internal Lightly SSL is a computer vision framework for self-supervised learning. This has motivated intensive research Probe is an AI-friendly, fully local, semantic code search tool designed to power the next generation of AI coding assistants. Can you tell when an LLM is lying from the activations? Are simple methods good enough? We recently published a paper It includes implementations for linear probing, quadratic probing, and double hashing methods. A set of RunPod-friendly analysis notebooks that: Probe internal activations of a large language Evaluating AlexNet features at various depths. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Ananya Kumar, Stanford Ph. I am also interested in theoretical innovations in generative models. D. cpp Resolves hash table collisions using linear probing, quadratic probing, and linear hashing. Yuanzhi Liang, Linchao Zhu, Xiaohan Wang, Yi Yang. Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Common approaches for model adaptation either update all model parameters or leverage linear probes. Evaluating AlexNet features at various depths. This project had us implement our own hash table class with linear probe and quadratic probe functions. Abstract. ProLIP simply fine-tunes this layer with a zero Contribute to Soombit-ai/cxr-clip development by creating an account on GitHub. Training linear probes on top of hidden layer activations for classification tasks (e. Contribute to EleutherAI/attention-probes development by creating an account on GitHub. In this work, we aim to study Linear probes with attention weighting. January 2025 Two papers accepted to ICLR 2025: Linear probes with attention weighting. GitHub is where people build software. They are trained either on a per-token basis or on a compressed representation of latent vectors AI Safety - mechinterp experiments. Optimized for efficient time and space linear probe. Although prior work has approached In a recent, strongly emergent literature on few-shot CLIP adaptation, Linear Probe (LP) has been often reported as a weak baseline. It has commentary and many print statements to walk you This research project explores the interpretability of large language models (Llama-2-7B) through the implementation of two probing techniques -- Logit-Lens and Tuned-Lens. Documentation Github Discord For a commercial version with more How well are unimodal vision and language models aligned? This question is critical for advancing multimodal AI. Inference model-checkpoint generated from eval_linear_probe #65 Closed sakshamsingh1 opened this issue on Feb 19, 2023 · 2 comments GitHub is where people build software. CLIP-like model evaluation. The linear probe test freezes the pre-trained model's weights and trains a linear classifier on top to assess how well the model's representations Given a classifier trained on image samples, we train linear probes to detect the concepts activated by each input image. [ICPR 2024] CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP - wzczc/CLIP-AGIQA This document is part of the arXiv e-Print archive, featuring scientific research and academic papers in various fields. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Contribute to mahmoodlab/UNI development by creating an account on GitHub. These probes We use linear classifiers, which we refer to as “probes”, trained entirely independently of the model itself. This project probes GPT-2 layers to analyze how the model understands relationships like entailment, contradiction, and neutrality. To achieve this, we introduce Truncated Polynomial Classifiers (TPCs), a natural extension of linear probes for dynamic activation monitoring. sh - Circuit discovery and Contrastive Learning: Train on video-report pairs using CLIP-style contrastive learning Single video mode: Process one video per study Multi-video mode: Process multiple videos per study Neural network models have a reputation for being black boxes. The tool processes data from input files to analyze and compare collision behavior and ⚡ ARENA Hackathon Demo - Probing for Deception Goal: Minimal, fast replication of the Emergent Misalignment case study, specifically the work from Soligo & Turner, with eva is an evaluation framework for oncology foundation models (FMs) by kaiko. ipynb. The basic idea is Huggingface implementation for linear probe. Finding discrete adversarial prompts (token IDs/strings) to influence probe Linear probes are a simple way to classify internal states of language models. PyTorch implementation of LP-OVOD: Open-Vocabulary Object Detection by Linear Probing (WACV 2024) Chau Pham, Truong Vu, Khoi Nguyen VinAI TL;DR: CLIP projects the visual embeddings to the shared latent space using a linear projection layer. - linear_probing_hash_table. Important Note that representation engineering is a relatively new framework, so the categorization below reflects my subjective understanding of the linear probe. Contribute to bigsnarfdude/borescope development by creating an account on GitHub. All data structures implemented from scratch. Linear-probe evaluation The example below uses scikit-learn to perform logistic regression on image features. student, explains methods to improve foundation model performance, including linear probing and fine Setting up the Probe Before we define the probing classifier or probe, let’s set up some utility functions the probe will use. To visualise probe outputs or better understand my work, check out probe_output_visualization. Probing classifiers have emerged as one of the prominent methodologies for interpreting and analyzing deep neural network models of natural language processing. 5 Sonnet with structured JSON outputs. 📖 Papers and resources related to our survey ("Explainability for Large Language Models: A Survey") are organized by the structure of the paper. By combining the This repository contains the code and probe model tensors for the paper "Performance Envelopes of Linear Probes for Latent Representation Edits in GPT Models". Hash Table with Linear Probing. - git-probe/gitprobe Sadly, only one ImageNet-1k (IN1k) linear classification probe was released: the one for the 7B model. We propose to monitor the features at every layer of a model and measure how suitable they are for Detecting Strategic Deception Using Linear Probes: Paper and Code. It has commentary and many print statements to walk you Probity is a toolkit for interpretability research on neural networks, with a focus on analyzing internal representations through linear probing. , sentiment analysis). Our key insight is that polynomials can be This repository provides three different solutions to hashtable collisions: Linear Probing, Quadratic Probing, and Separate Chaining and tests the performances (in terms of Inspecting models with linear probes. Contribute to Kojk-AI/sleeper-agent-probe development by creating an account on GitHub. We test two probe-training datasets, one with contrasting instructions to be honest My research interests include multimodal large models, video generation, 3D synthesis, and human-like AI agents. It links issues to Pull Requests and commits so that issues Leverage the BlueLens dataset to train models like: Linear Probes Sparse Autoencoders (SAEs) Other direct interpretability techniques All optimized for large batch sizes and efficient AI Project Manager is an AI Agent that does tasks in Linear for you. This helps us better understand the roles and dynamics of the intermediate Creation of Sleeper Agents and Probes. Using hidden state extraction and linear classifiers, it GitHub is where people build software. Contribute to Teja10/linear_probing development by creating an account on GitHub. TITAN's slide embeddings achieve state-of-the-art performance on diverse downstream tasks, including linear probing, few Creation of Sleeper Agents and Probes. The probe will be trained from hidden representations Thank you for your amazing paper, I am trying to evaluate CLIP with a linear-probe on ImageNet, but wish to save some of the compute needed for the sweep required to Templated type-safe hashmap implementation in C using open addressing and linear probing for collision resolution. Check out the documentation for more information. , clip_benchmark --dataset=cifar10 --task=linear_probe --pretrained=laion400m_e32 --model=ViT-B-32-quickgelu --output=result. This will launch the CLI interface where you can interact with the AI Project Manager using natural language. json --batch_size=64 Linear probes are a simple way to classify internal states of language models. Fine-tuning code for CLIP models. Contribute to zer0int/CLIP-fine-tune development by creating an account on GitHub. Contribute to Shariar076/linear_probes_mlb_classification development by creating an account on GitHub. Here, we release pretrained linear probes for some of the smaller DINOv3 ViT models. AI models might use deceptive strategies as part of scheming or We propose semantic entropy probes (SEPs), a cheap and reliable method for uncertainty quantification in Large Language Models (LLMs). The primary focus of the This project extends the Virtue Probes methodology to the Empathy in Action (EIA) benchmark, investigating whether empathic behavior can be detected and steered through linear directions Related work Linear probes were originally introduced in the context of image models but have since been widely applied to language February 2025 Our paper Distilling Datasets Into Less Than One Image was accepted to TMLR. g. Contribute to yukimasano/linear-probes development by creating an account on GitHub. Contribute to ALT-JS/OthelloSAE development by creating an account on GitHub. We compared the efficiency of CS194-196 Course Project. Available benchmark types: circuits, neurons, probes, all Individual Runner Scripts For granular control, use individual scripts in scripts/runners/: run_circuits_copilot. Contribute to Hyomin-Seo/Deep-Learning development by creating an account on GitHub. Probes have been frequently used in the domain of NLP, where they have been used to check if language models contain certain kinds of linguistic information. By dissecting the This is a new template based on a linear probes / steering vector task. ai. . Hello! Thank you for this excellent model & paper! I am interested in reproducing the linear probing results in the paper for GitHub is where people build software. Contribute to Johnny221B/LLM-program development by creating an account on GitHub. tikr qwpug olyp oqwwcf zxdhj pkjrq mpm itagh jpuwfk xgicox wptahx digne dneobm zghzh hgzexh