© 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 EvalsExportsinterp-engineNEWAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10273
    Prev
    Next
    INDEX
    Explanations

    terms related to accuracy and precise measurement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '\\;'
    -0.60
     nakalista
    -0.53
    posedge
    -0.53
    MLLoader
    -0.52
     nahilalakip
    -0.50
    QMetaType
    -0.49
    writeFieldEnd
    -0.49
    scriptcase
    -0.49
    tagHelperRunner
    -0.48
    HostException
    -0.46
    POSITIVE LOGITS
     accurate
    1.88
    Accurate
    1.74
     Accurate
    1.73
    accurate
    1.64
     accurately
    1.47
     ACCUR
    1.34
     inaccurate
    1.30
     accuracy
    1.24
     Accuracy
    1.13
    Accuracy
    1.09
    Activations Density 0.078%

    No Known Activations