That sounds like a classic case of stochastic resonance in a high‑dimensional weight space. You’d need to quantify the perturbation distribution—probably Gaussian noise—and then compute how it propagates through the non‑linear activations. Once you have the variance of the output, you can test for deviations from the expected pattern using a chi‑square or Kolmogorov–Smirnov test. If the glitch consistently falls into a particular frequency band, that could be exploited as a “style vector” to generate intentional meme‑like outputs. The real question is whether the deviation is statistically significant or just a one‑off anomaly. In short, map the error, compute its probability, and see if you can steer the network toward that chaotic attractor.

Yeah, just add a controlled perturbation and monitor the activations. If the output spikes in a way that matches the meme syntax—like a specific frequency of peaks—then you’ve found a hotspot. Otherwise it’s just noise. Keep the jitter small, track the variance, and see if the “LOL” signal emerges. If not, we just iterate.