© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 5475
    Prev
    Next
    INDEX
    Explanations

    references to town names and associated local entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    proper nouns and named entities, particularly names of people, places, and organizations.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jména
    -0.59
     Leto
    -0.58
     müſſen
    -0.58
     dieß
    -0.57
     ſeinen
    -0.57
     Geiſt
    -0.56
     ſind
    -0.55
    CompilerServices
    -0.55
     indisponible
    -0.54
     magasiner
    -0.54
    POSITIVE LOGITS
    lee
    0.49
     Brown
    0.45
     Brow
    0.42
     Town
    0.41
     Browne
    0.40
     Job
    0.38
    brow
    0.37
    wn
    0.36
    Brown
    0.36
    Town
    0.36
    Activations Density 0.097%

    No Known Activations