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

    Neuronpedia

    Natural Language
    Autoencoders
    NEW
    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 33-GEMMASCOPE-RES-16K
    6. 7402
    Prev
    Next
    INDEX
    Explanations

    chemical compounds and their classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     concevoir
    -0.36
     vivir
    -0.32
    Przeczytaj
    -0.31
     paraître
    -0.31
     kahve
    -0.30
    PropertyGroup
    -0.30
     Käse
    -0.29
     vivre
    -0.28
    ledem
    -0.28
    portál
    -0.28
    POSITIVE LOGITS
     purity
    0.91
     Purity
    0.80
     pureza
    0.74
     pure
    0.73
     Pure
    0.73
     purified
    0.71
    pure
    0.71
     grade
    0.69
     impure
    0.69
     Grade
    0.68
    Activations Density 1.262%

    No Known Activations