Learning Objectives
Apply frame and metaphor analysis to LLM attention visualization and probing experiments
Design interpretability probes for LLMs based on specific CL theoretical constructs
Connect CL's prototype theory to the geometric structure of LLM embedding spaces
Contribute to the emerging field of cognitive-linguistic Explainable AI (CL-XAI)
Using cognitive-linguistic frameworks as systematic tools for opening the black box of LLM internals.
This lesson builds on the theoretical foundations established earlier in the module and extends your understanding of how cognitive-linguistic principles apply directly to modern AI systems.
Learning Objectives
Apply frame and metaphor analysis to LLM attention visualization and probing experiments
Design interpretability probes for LLMs based on specific CL theoretical constructs
Connect CL's prototype theory to the geometric structure of LLM embedding spaces
Contribute to the emerging field of cognitive-linguistic Explainable AI (CL-XAI)
Key Concepts
Apply frame and metaphor analysis to LLM attention visualization and probing experiments
Design interpretability probes for LLMs based on specific CL theoretical constructs
Connect CL's prototype theory to the geometric structure of LLM embedding spaces
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