Browse SAE features - Biohub Platform

Use these endpoints to discover SAE feature identifiers and inspect the evidence associated with one selected feature.

List the feature catalog

The catalog contains 16,384 features and is returned without pagination.

import httpx

base_url = "https://biohub.ai/esm/protein/api/v1alpha1"
response = httpx.get(f"{base_url}/features", timeout=60)
response.raise_for_status()
features = response.json()["data"]

print("Feature count:", len(features))
for feature in features[:10]:
    print(feature["feature_index"], feature["label"])

Read the feature-list reference for the complete response contract.

Select a feature deliberately

Choose a feature index from a protein, cluster, or similarity result when possible. This preserves the scientific context that made the feature relevant.

Retrieve detailed metadata

feature_index = features[0]["feature_index"]
response = httpx.get(
    f"{base_url}/features/{feature_index}",
    timeout=60,
)
response.raise_for_status()
feature = response.json()

print(feature["feature_index"], feature["label"])
print(feature.get("summary"))
print("UniRef90 frequency:", feature.get("uniref90_frequency"))
print("Decoder neighbors:", feature.get("decoder_nearest_neighbors"))

Compare the label with activation patterns, exemplar proteins, SwissProt activations, and decoder neighbors. Read the feature-detail reference for every available field.

SAE feature labels are model-derived interpretations. Use them with curated annotations and experimental evidence rather than as standalone functional assignments.