LLM System Design Interview #56 - The SwiGLU Capacity Trap

Why swapping to a gated activation silently bloats your parameter count by 50%, and the non-negotiable 2/3 scaling trick required to prove your architecture actually works.

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SwiGLU ReLU FFN SwiGLU activation functions Parameter-matched ablation studies Transformer FFN architecture Experimental controls in ML research Llama model architecture decisions Gating mechanisms in neural networks ML interview preparation

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