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# Symbolic explanations

Symbolic Explanations generates a written interpretation of a selected module’s decision rules. Use it to inspect learned module logic; use [Local explanations](/ui-guides/explanations/local-explanations) for a particular observation.

## Before you begin

Choose a running deployment and a module with decision rules to inspect. No individual observation is required. Check the rule conditions and expressions before asking for a narrative interpretation.

## Generate a symbolic explanation

1. Open **Explanation Lab > Symbolic Explanations**.

2. Select the intended **Deployed Model**.

3. Choose a **Module**. The example selects **age**.

4. Review the displayed **Decision Rules**, including their condition, expression, and intercept.

5. Select **Generate Symbolic Explanation**.

6. Read the completed explanation alongside the source rule.

## Interpret and review the result

The selected **age** module has one rule with condition **All Values**. Its displayed expression is **0.0\*age² + (0.0039\*age - 0.1580)**, and its intercept is approximately **-0.1580**. These are rounded values for the example model; use the values from your own selected module when interpreting its rule.

The example explanation includes an overview, model-structure summary, per-regime interpretation, cross-regime dynamics and rule references. Use **Copy** to copy the generated text, or **Export** to choose Markdown or PDF when the explanation is ready to reuse.

Symbolic Explanations interprets a selected module's rules. It does not require an input value for a particular observation. Use Local Explanations when you need to explain a prediction for a specific record.

**Review before reuse:** verify that the narrative agrees with the rule, distinguishes a module contribution from the final prediction, and preserves the scale and rounding of any quoted values. A statement about increasing a module’s contribution should not automatically become a claim about a causal effect or the complete model’s output.

![The age module rule used to generate a symbolic explanation.](/_fern-files/_img/2695d2d9255a39f66db428d380d7dcaec521adc19232335c90d5941fe089f781.webp)

![Generated symbolic text. Verify statements about predictions against the selected module rule.](/_fern-files/_img/8fec183026a661e893f83760a3dfa2e715aa0aaaa8db622bd4b78e2d9728346c.webp)

## Copy or export a reviewed explanation

After checking the narrative against the selected rule, use **Copy** or **Export**. Retain the deployment, module name and source rule with the generated text. When a coefficient is rounded on screen, preserve that rounding in the narrative instead of presenting extra precision.

## Next steps

Continue to [Use explanations](/ui-guides/explanations/using-explanations).