© 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. 2-GEMMASCOPE-RES-16K
    11. 6822
    Prev
    Next
    INDEX
    Explanations

    terms related to accuracy and precision in measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     saying
    -0.41
     charité
    -0.40
     pluie
    -0.40
     faune
    -0.39
     beneficial
    -0.39
    Odkazy
    -0.39
     Berita
    -0.39
     cammino
    -0.38
     firmado
    -0.38
     ordenado
    -0.38
    POSITIVE LOGITS
     accuracy
    1.84
     precision
    1.77
     Accuracy
    1.74
    precision
    1.64
     Precision
    1.63
    Precision
    1.55
    Accuracy
    1.52
    accuracy
    1.48
     PRECISION
    1.46
     ACCUR
    1.38
    Activations Density 0.180%

    No Known Activations