Our investigation into mitigating content effect bias in syllogistic reasoning demonstrates that while LLMs are highly susceptible to plausibility, targeted interventions can significantly improve logical reasoning. Our results indicate a clear performance gap between methods: SFT using LoRA proved highly effective, with LLaMA-3.1 8B achieving up to 98.75\% accuracy and Qwen 3 4B providing a robust balance between accuracy and bias reduction. In contrast, activation steering offered limited success. Future work could not only focus in improving the accuracy but also aim to learn more about the underlying logical circuits of these LLMs.