Skip to main content

A simple framework for analyzing model representations

Project description

New Project-3

Table of Contents

Overview

Repana was developed based on the repeng library for research purposes. It is intended for doing representation analysis of large language models. Repana allows you to insert a (or more) ControlBlock into a standard torch transformer model creating a ControlModel instance. You can then "read" model representations, use these to derive a ControlVector, which can be applied to the ControlModel during inference.

Features

  • ControlModel
  • ControlVector
    • Reading vector
    • Contrast vector
    • PCA-based contrast vector

Installation

pip install repana

Acknowledgements

This library is based off of the repeng library (MIT License) developed by Theia Vogel. If you want to merely train control vectors fast, we suggest taking a look at that great library!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

repana-0.0.1.tar.gz (9.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

repana-0.0.1-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file repana-0.0.1.tar.gz.

File metadata

  • Download URL: repana-0.0.1.tar.gz
  • Upload date:
  • Size: 9.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.14

File hashes

Hashes for repana-0.0.1.tar.gz
Algorithm Hash digest
SHA256 380157259b7c94b819f7893a58aac1cabb27083823997a71d87845dc5f41cefe
MD5 824539a8f508b1d32b4289b7f783ad94
BLAKE2b-256 a2e1b52c92793feef13aa2afb2df7a855481a8f97f93303c2708aca500fb0092

See more details on using hashes here.

File details

Details for the file repana-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: repana-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.14

File hashes

Hashes for repana-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1b48cfd2b41e23a1a78e495fa75cf954d3ee3f996c7e6750b1b25dfdc4823b2e
MD5 52fdb581d1ea04af686379c955c0cc32
BLAKE2b-256 4f80a9bd86152cd7a99f69372039f23a08a98d6c6f542f3cd6ed16126e614453

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page