© 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. 35-GEMMASCOPE-RES-16K
    11. 13299
    Prev
    Next
    INDEX
    Explanations

    mentions of the BMW brand and its models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gdx
    -0.49
    LookAnd
    -0.48
     Ê
    -0.38
    gdx
    -0.38
    jfree
    -0.37
    WebElementEntity
    -0.37
    shiro
    -0.36
    EDEFAULT
    -0.36
     bas
    -0.36
     spu
    -0.36
    POSITIVE LOGITS
     BMW
    1.00
     Bavarian
    0.93
    BMW
    0.93
     Bavaria
    0.91
     bmw
    0.88
     Munich
    0.81
    bmw
    0.81
    Bav
    0.79
     Bav
    0.77
     bav
    0.75
    Activations Density 0.209%

    No Known Activations