One promising approach is the sparse autoencoder (SAE), a deep learning ... tiny mathematical functions that process and transform data. During training, neurons are tuned to become active when ...

This process forces the model to learn more resilient ... HOLO randomly drops a subset of neurons during the training of the stacked sparse autoencoder. In each training iteration, the model ...

By focusing on the Gemma 2 family of lightweight open models, it uses innovative sparse autoencoder technology ... Understanding the decision-making process allows for the identification and ...

During the AI training process, sparse autoencoders are guided ... passing GPT-4’s activations through the sparse autoencoder results in a performance equivalent to a model trained with roughly ...

You can think of a sparse autoencoder as a microscope that zooms ... could represent a plausible path to alignment—the process of making sure AI is actually doing what we want it to do.

This process forces the model to learn more resilient feature ... To avoid this, HOLO randomly drops a subset of neurons during the training of the stacked sparse autoencoder. In each training ...

SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the ...