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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 2279
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    Explanations

    concepts related to health, nutrition, and physical well-being in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transfieras
    -0.44
    consulté
    -0.43
    toThrow
    -0.42
    XmlAccessorType
    -0.42
     оригіналу
    -0.41
     oprot
    -0.40
     виправивши
    -0.40
    AccessException
    -0.40
    hängig
    -0.39
    /*
    -0.39
    POSITIVE LOGITS
     levels
    0.68
     outcomes
    0.65
     capacity
    0.63
     capacities
    0.60
     rates
    0.60
     particularmente
    0.58
     AssemblyTitle
    0.56
    effectiveness
    0.55
    capacity
    0.55
     niveles
    0.54
    Activations Density 0.942%

    No Known Activations