Unverified70% confidenceFactExact time
Activation patching is one of the core techniques in mechanistic interpretability; it works by replacing the activation values of a certain layer or attention head while the model processes input A with the corresponding activation values from processing input B, in order to observe changes in the output.
2
Sources
70%
Confidence
Long-term
Relevance
8/26/2026
First Seen
Sources
Related Entities
Related Claims
Unverified将自回归基座改造为扩散模型通常涉及将因果注意力掩码替换为双向注意力,并引入噪声调度器和时间步嵌入66% similarUnverifiedTransition animations can convey to users which elements in an interface are newly added, updated, or removed, helping users build a mental model of the AI's behavioral logic64% similarUnverifiedRoPE是一种将位置信息以旋转矩阵形式注入Transformer注意力机制的技术63% similarUnverified闭环优化是神经科学中的实验范式,系统能实时根据大脑反馈信号动态调整刺激参数,形成刺激→神经响应→参数调整→新刺激的迭代回路63% similarVerifiedThe iterative loop mechanism (perceive current state → decompose and execute → invoke tools → review progress → continue iterating) is the core feature that distinguishes intelligent agents from traditional AI tools.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/802923API
curl https://kongchang.com/api/v1/knowledge/claims/802923MCP
get_claim(id=802923)