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Understanding Intelligence in Language Models
This chapter examines the complexities of large language models (LLMs) in relation to human cognition and the nuances of understanding language. It discusses key methodologies like causal mediation analysis to unpack LLM decision-making, as well as the philosophical debates surrounding the notion of 'understanding' in AI. The chapter emphasizes the importance of redefining intelligence and maintaining scientific rigor when comparing LLMs to human and animal cognition.