© 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. 1-GEMMASCOPE-RES-16K
    11. 8469
    Prev
    Next
    INDEX
    Explanations

    references to coats and coatings 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 @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rüyada
    -0.65
    tagHelperRunner
    -0.54
    ybė
    -0.48
    saraba
    -0.46
    segue
    -0.45
     RISERVATA
    -0.44
    Snap
    -0.44
     Symbolic
    -0.43
    setArguments
    -0.43
    SequentialGroup
    -0.43
    POSITIVE LOGITS
     coat
    1.10
     coats
    0.97
     coating
    0.91
    coat
    0.91
     Coat
    0.88
     layers
    0.88
    Coat
    0.87
     layer
    0.82
     coated
    0.81
    coated
    0.77
    Activations Density 0.158%

    No Known Activations