Goodfire 研究：特征流形存在下的稀疏自编码器扩展
Understanding Sparse Autoencoder Scaling in the Presence of Feature Manifolds - Goodfire
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Goodfire Research 发布研究《Understanding Sparse Autoencoder Scaling in the Presence of Feature Manifolds》，探讨特征流形存在时稀疏自编码器的扩展问题，原网页会跳转至对应的 arXiv 论文。该页面同时列出其可解释性智能体 Silico，称可跨各类 AI 模型解释、调试并精确控制模型行为。
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