From-scratch NumPy MLPs for MNIST, plus a larger teacher–student setup that demonstrates subliminal learning (implementing Cloud et al. (2025)).
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Sep 28, 2025 - Jupyter Notebook
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subliminal-learning
Here are 5 public repositories matching this topic...
From MNIST noise distillation to Llama-3.1-70B: subliminal learning, token entanglement, causal state transfer, and multi-token confounds.
transformers pytorch mnist alignment interpretability distillation llm mechanistic-interpretability subliminal-learning
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Jul 19, 2026 - Python
Replicating latent-space backdoor leakage and behavioral transfer in LLMs using Pythia-70M.
machine-learning transformers pytorch causal-inference replication-study unsloth llm-alignment subliminal-learning
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Jun 16, 2026 - Python
Code to reproduce the results of the paper "Learning Through Noise: Why Subliminal Learning Works and When It Fails"
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May 21, 2026 - Python
Artifact-backed experiments on the behavioral half-life of subliminal traits under recursive self-distillation.
machine-learning research reproducibility ai-safety mlx self-distillation llm qwen model-collapse subliminal-learning
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Jun 11, 2026 - Python
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