Decoding intermediate activations in llama-2-7b
Date : 2023-07-21
Introduction
In line with previous research, Nina Rimsky found that the decoded block outputs at most layers, except a few early ones, were interpretable. She also found that the other intermediate outputs were interpretable and provided some intuition on what different layers were responsible for. Some very interesting insights in the post.
Read article here
Recently on :
Artificial Intelligence
Information Processing | Computing
WEB - 2025-11-13
Measuring political bias in Claude
Anthropic gives insights into their evaluation methods to measure political bias in models.
WEB - 2025-10-09
Defining and evaluating political bias in LLMs
OpenAI created a political bias evaluation that mirrors real-world usage to stress-test their models’ ability to remain objecti...
WEB - 2025-07-23
Preventing Woke AI In Federal Government
Citing concerns that ideological agendas like Diversity, Equity, and Inclusion (DEI) are compromising accuracy, this executive ...
WEB - 2025-07-10
America’s AI Action Plan
To win the global race for technological dominance, the US outlined a bold national strategy for unleashing innovation, buildin...
WEB - 2024-12-30
Fine-tune ModernBERT for text classification using synthetic data
David Berenstein explains how to finetune a ModernBERT model for text classification on a synthetic dataset generated from argi...