© 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 EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9432
    Prev
    Next
    INDEX
    Explanations

    quantitative measurements and values related to weight and volume

    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
    Kanpo
    -0.44
    出版年
    -0.43
    RenderAtEndOf
    -0.42
     ense
    -0.42
    SHIPS
    -0.42
    immel
    -0.42
     soie
    -0.40
    wapV
    -0.40
     gynhyrchwyd
    -0.39
    Partitions
    -0.39
    POSITIVE LOGITS
     pounds
    0.85
     pound
    0.79
     lbs
    0.78
     lb
    0.77
    kg
    0.75
     kg
    0.74
    lb
    0.69
    lbs
    0.69
     kilos
    0.68
     kilogram
    0.66
    Activations Density 0.206%

    No Known Activations