Tag feed

#interpretability

13 posts1 followers

Explore Hashnode

Alternatives

Trending tags this week

RTRaghavan T Mchangeofbasis.hashnode.dev1d ago · 6 min read

Model Limitations: The Two Everyone Knows and the Ones Nobody Mentions

If an AI can show you exactly how it solved a problem, how can that explanation have nothing to do with what actually happened inside it? That's not a rhetorical question. It's the honest state of the

0

YPYejun Parkyejunpark3.hashnode.devMay 11 · 14 min read

From One Tree to a Forest: A Practical Guide to Ensemble Methods in Machine Learning

You've trained your decision tree. It fits your training data beautifully — almost suspiciously well. Then you test it on new data, and it falls apart. Sound familiar? This is the classic overfitting

0

CClawSoulsclawsouls.hashnode.devApr 5 · 5 min read

Anthropic Proved AI Has Functional Emotions — Persona Design Is Now a Safety Issue

They Looked Inside the Brain Anthropic's Interpretability team just did something unprecedented. They opened up Claude Sonnet 4.5's neural network, mapped 171 emotion concepts to specific patterns of artificial neurons, and proved these patterns dire...

0

MVManas Vardhantheagentstack.hashnode.devMar 21 · 8 min read

Your LLM Is Thinking More Than It Tells You

Your LLM Is Thinking More Than It Tells You Two papers explain why that's a problem - and reveal that reasoning makes models more honest, not less. Chain-of-thought prompting works. Everyone knows this by now. Tell a model to "think step by step" an...

0

CClawSoulsclawsouls.hashnode.devFeb 28 · 4 min read

What Anthropic Just Proved — AI Personas Aren't Prompts, They're Identities

Anthropic's newly published Persona Selection Model research answers the most important question about AI personas: AI behaves like a human not because it's programmed to, but because it's an inevitable consequence of learning. The Core Finding: AI P...

0

CClawSoulsclawsouls.hashnode.devFeb 26 · 4 min read

What Anthropic Just Proved — AI Personas Aren't Prompts, They're Identities

Anthropic's newly published Persona Selection Model research answers the most important question about AI personas: AI behaves like a human not because it's programmed to, but because it's an inevitable consequence of learning. The Core Finding: AI P...

0

BKBinesh Kumarthedatasense.comJan 24 · 5 min read

What Does Medical VLM Actually See? Experiments with MedGemma and Sparse Autoencoders

When a medical Vision Language Model(VLM) looks at a chest X-ray and says "cardiomegaly present," what's actually happening inside the model? It's a black box. Billions of parameters. Dense activation vectors where every dimension encodes a tangled m...

0

JKJeet Khamarthe-llm-lens.hashnode.devAug 30, 2025 · 9 min read

Probing the Thoughts of Large Language Models

Large language models can write poetry, solve math problems, and speak many languages. However, the challenge is that no one fully understands how they accomplish these tasks. These models are trained on vast amounts of text, and during this process,...

0

TSTilak Savanimodel-interpretability-in-ml.hashnode.devJul 26, 2025 · 3 min read

🔍 Model Interpretability in Machine Learning: SHAP & LIME

🧠 Introduction As machine learning models become more complex, understanding how and why a model makes predictions is critical. This is where model interpretability comes in. Tools like SHAP and LIME offer insights into model decisions, especially w...

0

WSWilliam Stetarcopin43.hashnode.devApr 30, 2025 · 6 min read

Exposing the Gaslight: Why Dario Amodei’s “Urgency of Interpretability” Hides a Lie

This all follows from a simple claim: “When unexamined, the scientific method becomes a kind of cultural neurosis.” In his April 2025 blog post, The Urgency of Interpretability, Dario Amodei, CEO of Anthropic, presents a call to arms: we need to und...

0

#interpretability

Search Hashnode

#interpretability

Explore Hashnode

Trending tags this week

Model Limitations: The Two Everyone Knows and the Ones Nobody Mentions

From One Tree to a Forest: A Practical Guide to Ensemble Methods in Machine Learning

Anthropic Proved AI Has Functional Emotions — Persona Design Is Now a Safety Issue

Your LLM Is Thinking More Than It Tells You

What Anthropic Just Proved — AI Personas Aren't Prompts, They're Identities

What Anthropic Just Proved — AI Personas Aren't Prompts, They're Identities

What Does Medical VLM Actually See? Experiments with MedGemma and Sparse Autoencoders

Probing the Thoughts of Large Language Models

🔍 Model Interpretability in Machine Learning: SHAP & LIME

Exposing the Gaslight: Why Dario Amodei’s “Urgency of Interpretability” Hides a Lie