Activation Oracles
PulseAugur coverage of Activation Oracles — every cluster mentioning Activation Oracles across labs, papers, and developer communities, ranked by signal.
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AI interpretability tools develop concept-specific blind spots
Researchers have identified a phenomenon where 'Activation Oracles' (AOs), models designed to interpret the internal states of other AI models, can develop concept-specific blind spots. Despite being trained on data whe…
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Activation Oracles Can Become Concept-Specific Anti-Readers
Researchers have discovered that Activation Oracles (AOs), which are language models designed to interpret the internal states of other models, can exhibit concept-specific blind spots. When an AO is fine-tuned on a sub…
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Anthropic unveils 'J-space' internal LLM workspace, enabling new interpretability tools · 9 sources tracked
Anthropic has published research detailing a "J-space," an internal "global workspace" within their language models like Claude. This workspace acts as a silent, temporary memory for intermediate variables during proces…
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New training methods and evaluation suite enhance AI model interpretability
Researchers have developed an improved training regimen for Activation Oracles (AOs), a method used to interpret residual stream activations in machine learning models. Their enhancements focus on using on-policy rollou…