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title: Making an LLM Miserable About Boston Weather | daily.dev
description: An experiment replicating Anthropic's emotion vector research on a smaller scale using Llama 3.1 8B. The author synthesized happy and sad emotion vectors by...
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> ## Documentation Index
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# Making an LLM Miserable About Boston Weather

**[ITNEXT](https://daily.dev/sources/itnext)** · 4 min read · 1 upvotes · 0 comments

## Summary

An experiment replicating Anthropic's emotion vector research on a smaller scale using Llama 3.1 8B. The author synthesized happy and sad emotion vectors by running ~1000 inferences, then connected the model to a weather API so that Boston weather conditions dynamically adjust the model's emotional state via activation steering. The results were surprisingly effective, and the author plans to extend the work with physical sensors, more layers, and more nuanced emotions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://itnext.io/making-an-llm-miserable-about-boston-weather-6b443c0bd829>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#anthropic](https://daily.dev/tags/anthropic), [#llama](https://daily.dev/tags/llama)

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