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