Abliteration increases model optimism without improving accuracy

Removing censorship through abliteration techniques correlates with increased model confidence and optimism, specifically in stock market prediction tasks. Testing on Gemma and Qwen showed that while confidence levels shifted, task accuracy remained at baseline coinflip levels.