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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 2083
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    INDEX
    Explanations

    specific technical details related to marine vehicles and their components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Technical or manufacturing context

    np_acts-logits-general · gemini-2.0-flash

    mechanical components and materials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddTagHelper
    -0.74
    tagHelperRunner
    -0.70
    ConstraintMaker
    -0.69
    WriteAttribute
    -0.65
     ModelExpression
    -0.64
    numerusform
    -0.64
    astify
    -0.63
    autaire
    -0.62
    extAlignment
    -0.62
    TRAILING
    -0.61
    POSITIVE LOGITS
     chosen
    0.42
     used
    0.41
     choisi
    0.39
     utilizado
    0.38
     selected
    0.36
     usado
    0.35
     utilizada
    0.34
     utilizados
    0.34
     elegido
    0.34
     scelta
    0.33
    Activations Density 0.729%

    No Known Activations