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Jan 22, 2026
| title = {ARES Mechanistic Interpretability Module}, | ||
| author = {Martian}, | ||
| year = {2025}, | ||
| url = {https://github.com/anthropics/ares} |
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LOL I see you claude code
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In progress - current implementation is mostly vibe coded, will clean up and merge
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Below is a concise technical summary of the changes proposed in this PR:
graph LR main_("main"):::added HookedTransformerLLMClient_("HookedTransformerLLMClient"):::added ActivationCapture_("ActivationCapture"):::added TrajectoryActivations_("TrajectoryActivations"):::added InterventionManager_("InterventionManager"):::added create_zero_ablation_hook_("create_zero_ablation_hook"):::added main_ -- "Adds hooked-transformer LLM client enabling local inference with hooks." --> HookedTransformerLLMClient_ main_ -- "Captures activations per step via ActivationCapture context manager." --> ActivationCapture_ ActivationCapture_ -- "get_trajectory returns TrajectoryActivations aggregating step ActivationCaches." --> TrajectoryActivations_ main_ -- "Uses TrajectoryActivations to access/save per-step activation data." --> TrajectoryActivations_ main_ -- "Applies InterventionManager to add/remove hook-based interventions during runs." --> InterventionManager_ InterventionManager_ -- "Uses zero-ablation hook to zero specific attention heads." --> create_zero_ablation_hook_ classDef added stroke:#15AA7A classDef removed stroke:#CD5270 classDef modified stroke:#EDAC4C linkStyle default stroke:#CBD5E1,font-size:13pxIntegrates
TransformerLensinto the ARES framework to enable trajectory-level mechanistic interpretability for agents. Introduces specialized components for capturing model activations and performing causal interventions during agent execution.ActivationCaptureandInterventionManagerfor analyzing agent behavior.Modified files (3)
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HookedTransformerLLMClientandActivationCaptureto facilitate activation tracking and hook-based interventions within ARES environments.Modified files (4)
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