© 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
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 7841
    Prev
    Next
    INDEX
    Explanations

    terms related to accuracy and precision

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

    accuracy or precision

    np_acts-logits-general · gemini-2.0-flash

    accuracy and precision

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <<<<<<<<<<<<<<
    -0.47
    LookAnd
    -0.43
     KI
    -0.43
    WB
    -0.39
     /\.
    -0.37
    CardHeader
    -0.36
    CppCodeGen
    -0.36
     pul
    -0.35
     Duk
    -0.35
     openly
    -0.35
    POSITIVE LOGITS
     Accurate
    0.80
    Accurate
    0.79
     ACCUR
    0.78
     Exacts
    0.77
     accuracy
    0.77
    precise
    0.77
    Precision
    0.75
     precisione
    0.75
     Exactos
    0.75
     precision
    0.74
    Activations Density 0.212%

    No Known Activations