惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

NISL@THU
NISL@THU
P
Proofpoint News Feed
Help Net Security
Help Net Security
Schneier on Security
Schneier on Security
H
Heimdal Security Blog
V
V2EX - 技术
T
Tor Project blog
N
News and Events Feed by Topic
Google DeepMind News
Google DeepMind News
Simon Willison's Weblog
Simon Willison's Weblog
G
GRAHAM CLULEY
T
Threatpost
T
Tenable Blog
SecWiki News
SecWiki News
S
Secure Thoughts
C
Cybersecurity and Infrastructure Security Agency CISA
The Hacker News
The Hacker News
K
Kaspersky official blog
博客园 - 叶小钗
L
LINUX DO - 最新话题
S
Security Archives - TechRepublic
博客园 - Franky
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
The Cloudflare Blog
WordPress大学
WordPress大学
博客园 - 司徒正美
Scott Helme
Scott Helme
Cisco Talos Blog
Cisco Talos Blog
博客园 - 聂微东
E
Exploit-DB.com RSS Feed
Spread Privacy
Spread Privacy
小众软件
小众软件
有赞技术团队
有赞技术团队
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Engineering at Meta
Engineering at Meta
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Cloudbric
Cloudbric
AWS News Blog
AWS News Blog
N
News and Events Feed by Topic
Y
Y Combinator Blog
L
Lohrmann on Cybersecurity
Vercel News
Vercel News
F
Full Disclosure
J
Java Code Geeks
Latest news
Latest news
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
MyScale Blog
MyScale Blog
D
Docker
H
Help Net Security

Goodfire Research

Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train Logits as a new monitor for evaluation awareness Predicting Rare LLM Failures with 30× Fewer Rollouts The Shape of Stories Inside Neural Networks Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention Can SAEs Capture Neural Geometry? Steering Along Manifolds to Control Neural Networks A Geometric Calculator Inside a Neural Network The Neural Geometry Series The World Inside Neural Networks Verbalized Eval Awareness Inflates Measured Safety Paper Summary: Interpreting Language Model Parameters Interpreting Language Model Parameters Probe-Based Data Attribution: Surfacing and Mitigating Undesirable Behaviors in LLM Post-Training Using Self-Correcting Search to Accelerate Materials Discovery Explaining 4.2 million genetic variants with state-of-the-art, interpretable predictions Reasoning Theater: Probing for Performative Chain-of-Thought Features as Rewards: Using Interpretability to Reduce Hallucinations Using Interpretability to Identify a Novel Class of Alzheimer's Biomarkers Understanding Memorization via Loss Curvature Deploying Interpretability to Production with Rakuten: SAE Probes for PII Detection Interpreting Evo 2: Arc Institute's Next-Generation Genomic Foundation Model Mapping the Latent Space of Llama 3.3 70B Understanding and Steering Llama 3 with Sparse Autoencoders Discovering Undesired Rare Behaviors via Model Diff Amplification Open Problems in Mechanistic Interpretability Understanding Sparse Autoencoder Scaling in the Presence of Feature Manifolds Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering Priors in Time: Missing Inductive Biases for Language Model Interpretability Adversarial Examples Are Not Bugs, They Are Superposition Painting With Concepts Using Diffusion Model Latents Under the Hood of a Reasoning Model Finding the Tree of Life in Evo 2 The Circuits Research Landscape: Results and Perspectives Towards Scalable Parameter Decomposition Replicating Circuit Tracing for a Simple Known Mechanism
Covariance-based Sequence Pooling
Thomas Dooms · 2026-04-16 · via Goodfire Research
Covariance pooling: a better replacement for mean pooling that improves probing of genomic foundation model e…