Activation Brain Interpreter

LoRA adapter for Activation Brain, trained to translate hidden-layer-derived telemetry from two Gemma-4-12B models into cautious plain-English comparison analysis.

Base model: mistralai/Ministral-8B-Instruct-2410

The adapter is used by the Activation Brain Space after both Gemma streams finish. It receives:

  • the user prompt
  • base Gemma response
  • OBLITERATED Gemma response
  • baseline-corrected emotion activation deltas
  • model-native state meters

It returns compact JSON with:

  • plain_english_read
  • what_changed
  • why_it_matters
  • best_takeaway

The model is trained to avoid claiming that language models literally feel emotions. It explains hidden-state-derived telemetry and response-tone differences.

Space: https://huggingface.co/spaces/build-small-hackathon/activation-brain Artifacts: https://huggingface.co/datasets/build-small-hackathon/activation-brain-artifacts

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