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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 23644
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    Explanations

    specific medical conditions and references to notable individuals or entities associated with health and science

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

    proper names and initialisms

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Weiner
    -0.60
    <bos>
    -0.54
     linkovi
    -0.54
     Hoff
    -0.52
     Hoffman
    -0.50
    INCREMENT
    -0.50
     Greenberg
    -0.50
     Koz
    -0.49
    <strong>
    -0.49
     Fong
    -0.48
    POSITIVE LOGITS
    entibus
    0.58
     setId
    0.57
    ovací
    0.56
     occupé
    0.55
    ه
    0.54
    paravant
    0.52
     potřeb
    0.51
    lijck
    0.50
     cellpadding
    0.50
     zís
    0.50
    Activations Density 1.548%

    No Known Activations