© 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. 35-GEMMASCOPE-RES-16K
    11. 6948
    Prev
    Next
    INDEX
    Explanations

    concepts related to measurement accuracy and precision in data analysis

    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
    expandindo
    -0.57
    SequentialGroup
    -0.49
     ProtoMessage
    -0.45
     Réponses
    -0.43
    ьаж
    -0.42
    ViewFeatures
    -0.41
     المعيارى
    -0.40
     nahilalakip
    -0.39
    Geplaatst
    -0.37
    IContainer
    -0.36
    POSITIVE LOGITS
     accurate
    2.97
     accuracy
    2.84
    accurate
    2.59
     Accurate
    2.58
    Accurate
    2.52
     Accuracy
    2.45
     ACCUR
    2.45
     precise
    2.36
     precision
    2.31
     accurately
    2.31
    Activations Density 1.205%

    No Known Activations