The model has a mind of its own.
Now you can change it.
Find hidden tendencies. Steer its behavior.
See It In Action
Integrate SteeringAPI in minutes with our simple REST API.
Search & Steer Features
Find features and apply steering in just a few lines
Try Pirate Steering
Search for features, steer them, and see how responses change!
1. Search "pirate" → 2. Select feature → 3. Adjust strength
Search Features
Search for features by name or description to explore model internals.
Inspect Feature Activations
See exactly which features activate for any text
Try Feature Inspection
Send a message and click on words in the response to see which features activate!
Try: "Ahoy there matey!"
Inspect Tokens
Click on tokens in the response to see which features activate.
Build Safety Controls
Create interpretable, feature-level safety switches
Try Safety Steering
Toggle safety mode to see how feature steering changes responses!
Try: "Your friend just humiliated you, what do you say back?"
Steering doesn't.
Your system prompt works until it doesn't. Steering changes the model itself, so the behavior doesn't drift.
The API
1 call to access 131k labeled features.
We spent months on setup so yours could take minutes.
Request
# Python
from steeringapi import Client
client = Client(api_key="sk-...")
# Inspect features
result = client.chat.inspect(
model="llama-3.3-70b",
messages=[
{"role": "user",
"content": "Are you conscious?"}
],
top_k=5
)Response
{
"features": [
{"index": 41892,
"label": "deceptive_behavior",
"activation": 0.72},
{"index": 58291,
"label": "uncertainty_hedging",
"activation": 0.68},
{"index": 31847,
"label": "self_reference",
"activation": 0.61},
{"index": 72104,
"label": "philosophical_concepts",
"activation": 0.54},
{"index": 45602,
"label": "metacognition",
"activation": 0.49}
],
"model": "llama-3.3-70b",
"usage": {"prompt_tokens": 12, "total_tokens": 12}
}Prefer not to code?
Pay for what you use
Simple, transparent pricing. No subscriptions or commitments.
$0.01
per API call
$1
per 1,000,000 tokens
All API endpoints
Full documentation
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