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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11045
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    Explanations

    equipment and protective gear related to sports and military contexts

    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
    ConstraintMaker
    -0.47
    ThroughAttribute
    -0.45
    bildēt
    -0.39
     aguja
    -0.39
     bailarina
    -0.38
     ModelExpression
    -0.38
    adeloupe
    -0.38
    ngdoc
    -0.38
    posób
    -0.37
    cesz
    -0.37
    POSITIVE LOGITS
     helmet
    1.44
     helmets
    1.30
     Helmet
    1.12
    helmet
    1.07
    Helmet
    1.05
     armor
    0.97
     protective
    0.91
     gloves
    0.91
     Hel
    0.89
     suit
    0.85
    Activations Density 0.407%

    No Known Activations