# HFA Parameter Mapping Debug Output

## Issue
HFA model produces random predictions with extremely low probabilities (~0.000008) despite successful checkpoint loading.

## Analysis Date
2025-09-15 04:26:52

## Files
- `hfa_parameter_debug_*.txt`: Complete debug output
- `hfa_parameter_analysis_*.json`: Structured analysis data

## Problem
The model configuration matches checkpoint dimensions (256 hidden, 8 heads, 6 layers) but parameters aren't loading correctly, resulting in random predictions instead of meaningful language modeling.

## Next Steps
1. Verify exact parameter name mapping between checkpoint and model
2. Check if critical parameters (embedding, attention, lm_head) are being loaded
3. Ensure parameter values are being copied correctly (not just shapes)