Page Snapshot: Today's ArXiv CS digest covers 10 hand-picked papers — starting with "SafeSteer: Localized On-Policy Distillation for". One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ...

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Today's ArXiv CS digest covers 10 hand-picked papers — starting with "SafeSteer: Localized On-Policy Distillation for". One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ...

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Model internals encode rich information about how a large language model (LLM) processes its training data; however, ... Warning: This is an ad-libbed talk, and I'm sure I got some facts wrong. I think interpretability is so important both in terms of ensuring safe AI and also ...

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  • One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ...
  • Warning: This is an ad-libbed talk, and I'm sure I got some facts wrong.
  • I think interpretability is so important both in terms of ensuring safe AI and also ...
  • Model internals encode rich information about how a large language model (LLM) processes its training data; however, ...
  • Today's ArXiv CS digest covers 10 hand-picked papers — starting with "SafeSteer: Localized On-Policy Distillation for".

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Sparse Autoencoders: Progress & Limitations with Joshua Engels

Sparse Autoencoders: Progress & Limitations with Joshua Engels

Read more details and related context about Sparse Autoencoders: Progress & Limitations with Joshua Engels.

What Happened With Sparse Autoencoders?

What Happened With Sparse Autoencoders?

Warning: This is an ad-libbed talk, and I'm sure I got some facts wrong. This is a talk I gave to my MATS 9.0 training program on ...

Introduction to Sparse AutoEncoders | ML@P Reading Group | Jinen Setpal

Introduction to Sparse AutoEncoders | ML@P Reading Group | Jinen Setpal

Read more details and related context about Introduction to Sparse AutoEncoders | ML@P Reading Group | Jinen Setpal.

A Window  Into LLMs | Sparse Autoencoders Explained

A Window Into LLMs | Sparse Autoencoders Explained

This has been my favorite video so far to make! I think interpretability is so important both in terms of ensuring safe AI and also ...

Demo: Gemma Scope: Sparse autoencoders on Gemma 2

Demo: Gemma Scope: Sparse autoencoders on Gemma 2

Read more details and related context about Demo: Gemma Scope: Sparse autoencoders on Gemma 2.

Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]

Hoagy Cunningham — Finding distributed features in LLMs with sparse autoencoders [TAIS 2024]

One of the core roadblocks to understanding the computation inside a transformer is the fact that individual neurons do not seem ...

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders

Model internals encode rich information about how a large language model (LLM) processes its training data; however, ...

Do Sparse Autoencoders Capture Concept Manifolds? (Apr 2026)

Do Sparse Autoencoders Capture Concept Manifolds? (Apr 2026)

Read more details and related context about Do Sparse Autoencoders Capture Concept Manifolds? (Apr 2026).

Unlocking Deep Learning with Sparse Autoencoders

Unlocking Deep Learning with Sparse Autoencoders

Read more details and related context about Unlocking Deep Learning with Sparse Autoencoders.

Alignment Tax Eliminated + 9 More AI Breakthroughs | ArXiv Jun 01

Alignment Tax Eliminated + 9 More AI Breakthroughs | ArXiv Jun 01

Today's ArXiv CS digest covers 10 hand-picked papers — starting with "SafeSteer: Localized On-Policy Distillation for".