Datasetpublic

flodraye/autointerp-llama-multilingual

GPT2 Multilingual 20% AutoInterp Features This dataset contains feature interpretations for GPT2 Multilingual model with 20% sparsity. Structure data/layer0.parquet - Features for layer 0 data/layer1.parquet - Features for layer 1 ... data/layer11.parquet - Features for layer 11 Each parquet file contains feature interpretation data including: Feature activations Top examples Interpretations And other feature analysis data Usage from datasets… See the full description on the dataset page: https://huggingface.co/datasets/flodraye/autointerp-llama-multilingual.

sourceHugging Faceupdated 10mo agoView on Hugging Face

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GPT2 Multilingual 20% AutoInterp Features

This dataset contains feature interpretations for GPT2 Multilingual model with 20% sparsity.

Structure

—data/layer0.parquet - Features for layer 0
—data/layer1.parquet - Features for layer 1
—...
—data/layer11.parquet - Features for layer 11

Each parquet file contains feature interpretation data including:

—Feature activations
—Top examples
—Interpretations
—And other feature analysis data

Usage

python

from datasets import load_dataset

# Load specific layer
dataset = load_dataset("fdraye/autointerp-gpt2-multilingual-20", data_files="data/layer0.parquet")

# Load all layers
dataset = load_dataset("fdraye/autointerp-gpt2-multilingual-20", data_files="data/*.parquet")