build-small-hackathon

activation-brain-interpreter

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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

Model provider

build-small-hackathon

Model tree

Base

mistralai/Ministral-8B-Instruct-2410

Adapter

this model

Modalities

Input

Text

Output