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Dataset · Hugging Face

cuber12/budgeted-guardrails-mlp-channel-interventions

MLP Channel Guardrails This repository accompanies the Zenodo preprint 10.5281/zenodo.21003379, Budgeted Guardrails for MLP Channel Interventions in Small Transformer Language Models. The study evaluates training-time MLP-channel interventions in small causal Transformer language models. The supported claim is narrow: in the tested small-model settings, low-amplitude MLP channel gates with strict event budgets reduce trajectory damage relative to fixed event gating and dropout… See the full description on the dataset page: https://huggingface.co/datasets/cuber12/budgeted-guardrails-mlp-channel

Author / organizationcuber12
License (as declared)cc-by-4.0
Downloads164 (as reported by Hugging Face)
Likes0
Created28 June 2026
Last updated at source28 June 2026
preprintreproducibilitytransformerslanguage-modelingpytorchapple-mpstraining-dynamics
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