ThatAIguyA world of ideas

THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.

ConsciousnessLearn · Explore · Joseph Anady

DeepSeek Model.forward: hidden states

In DeepseekV3Model.forward, this statement defines or updates hidden_states. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.

Donor model implementationhistorical source recovered; expression not executed in this website audit
Learn with the Atlas

Read the state update

Follow the relationship between a current value and the next one.

Open guided lesson
donor-eq-20f11ee810e5bbsource-code mathematical expression
hiddenstates=self.norm(hiddenstates)hidden_states = self.norm(hidden_states)

Read the equation

In DeepseekV3Model.forward, this statement defines or updates hidden_states. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read hidden_states as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

Read the surrounding source passage
if output_attentions:
                all_self_attns += (layer_outputs[1], )

        hidden_states = self.norm(hidden_states)

        # add hidden states from the last decoder layer
        if output_hidden_states:
Exact original notation
hidden_states = self.norm(hidden_states)

Related builds

Sources & provenance

01
kimi source tree.txt
lines 3792–3792 · Aug 5, 2026
hidden_states = self.norm(hidden_states)
02
DEEPSEEK_R1_COMPLETE.txt
lines 3597–3597 · Aug 5, 2026
hidden_states = self.norm(hidden_states)

Search equations, builds, manuscript text, and recovered sources.