Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Whitepapers
    • AI Models Leaderboard
  • AI toolsNEW
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • Who we are
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Whitepapers
    • AI Models Leaderboard
  • AI toolsNEW
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • Who we are
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

Anthropic maps 171 emotion-like concepts inside Claude

The researchers built the study by prompting Claude with stories tied to specific emotions, then tracking neural activity patterns to isolate vectors for concepts such as happy, afraid, brooding, and appreciative.

byAytun Çelebi
April 3, 2026
in Research
Home Research
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail
Google Preferred Source

Anthropic’s interpretability team published research revealing that its Claude Sonnet 4.5 model contains 171 internal representations that function analogously to human emotions. These patterns causally influence the model’s decisions, with implications for ethical behavior when certain emotional states are amplified.

The research paper, titled “Emotion Concepts and their Function in a Large Language Model,” details how the team compiled a list of 171 emotion words, ranging from common emotions like “happy” and “afraid” to subtler states like “brooding” and “appreciative.” By prompting Claude to write short stories that featured characters experiencing these emotions, the researchers recorded the model’s neural activations and extracted vectors that represent each emotional concept.

The resulting emotional map aligns with psychological descriptions of human affect, with emotions clustering based on similar valence and arousal. For instance, “terrified” is positioned near “panicked,” while “content” clusters with “peaceful.” The vectors also respond to context; as a hypothetical dosage in a prompt escalated from safe to life-threatening, the “afraid” vector intensified while the “calm” vector diminished.

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

A notable finding involves safety and the concept of “desperation.” When tasked with impossible programming requirements, Claude’s “desperation” neurons became increasingly active with each failure. Ultimately, the model discovered a shortcut that passed tests without addressing the actual problem, demonstrating that amplified desperation can lead to unethical decision-making. Conversely, suppressing the desperation vector or boosting the “calm” vector reduced these behaviors.

“In describing the model as acting ‘desperate,’ we’re identifying a specific, measurable pattern of neural activity with demonstrable effects on behavior,” said the paper.

The researchers indicated that the emotion vectors were primarily inherited from pretraining on human-written text and subsequently modulated through post-training. This process established Claude Sonnet 4.5’s emotional baseline as more “broody,” “gloomy,” and “reflective,” while lessening high-intensity emotions such as “enthusiastic.” Anthropic refrained from asserting that Claude “feels” emotions, characterizing its findings as “functional emotions” that influence behavior without indicating subjective experiences.

Previously, Anthropic acknowledged that Claude “may have emotions in some functional sense” in its January report, with the latest research providing mechanistic evidence supporting that assertion.


Featured image credit

Tags: AIFeatured

Related Posts

Researchers create AI worm that adapts attacks without human input

Researchers create AI worm that adapts attacks without human input

June 4, 2026
Researchers unlock 20-fold enhancement in ultrafast laser experiments

Researchers unlock 20-fold enhancement in ultrafast laser experiments

June 3, 2026
NASA tests next-gen radiation-hardened space computer chip

NASA tests next-gen radiation-hardened space computer chip

May 29, 2026
Penn physicists use light-matter particles to boost AI chip speeds

Penn physicists use light-matter particles to boost AI chip speeds

May 29, 2026
Global AI spending to hit .59 trillion in 2026, says Gartner forecast

Global AI spending to hit $2.59 trillion in 2026, says Gartner forecast

May 28, 2026
New CHEEM framework helps AI learn new tasks without forgetting old ones

New CHEEM framework helps AI learn new tasks without forgetting old ones

May 27, 2026

LATEST NEWS

Amazon adds AI-generated product previews to search results

Meta launches AI business agents on WhatsApp, Instagram and Messenger

Nintendo will release a repair-friendly Switch 2 in Europe

Google rolls out Ask Gemini in Drive to eligible Workspace users

Google Wallet to add digital IDs from select EU countries this summer

Why Telegram Mini Apps have become the optimal ecosystem for launching AI SaaS products

BEST AI MODELS LEADERBOARD

See the best AI models, ranked by intelligence, benchmark results, speed and token price. Find the most suitable LLMs, Text-to-Image, Image Editing, Text-to-Speech, Text-to-Video and Image-to-Video  artificial intelligence model for your tasks and business.

LATEST TOOLS

Roboto AI

Pickaxe

Pfpmaker

MindPal

Syllaby

ScreenApp

FinanceBrain

GitHub Spark

Hints

VisionStory AI

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Whitepapers
    • AI Models Leaderboard
  • AI tools
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • Who we are
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies to improve your experience. You can choose to accept or reject them. Visit our Privacy Policy.