abietti / transformer-birthLinks
☆19Updated last year
Alternatives and similar repositories for transformer-birth
Users that are interested in transformer-birth are comparing it to the libraries listed below
Sorting:
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 10 months ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 4 months ago
- ☆33Updated last year
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- ☆53Updated last year
- ☆107Updated 7 months ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆67Updated 11 months ago
- ☆70Updated 9 months ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated 2 years ago
- ☆22Updated 5 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆38Updated 2 years ago
- Experiments on the impact of depth in transformers and SSMs.☆33Updated 10 months ago
- ☆99Updated last year
- ☆61Updated 3 years ago
- ☆36Updated 3 years ago
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆33Updated 3 months ago
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆54Updated 11 months ago
- ☆68Updated 2 years ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆238Updated last year
- Omnigrok: Grokking Beyond Algorithmic Data☆61Updated 2 years ago
- Stick-breaking attention☆60Updated 2 months ago
- ☆42Updated 8 months ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- Efficient empirical NTKs in PyTorch☆22Updated 3 years ago
- ☆32Updated last year
- Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"☆22Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- Universal Neurons in GPT2 Language Models☆30Updated last year