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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 82254
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    INDEX
    Explanations

    references to various types of legal damages

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

    awarded damages

    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
     prêtre
    -0.40
     antemano
    -0.37
     sindic
    -0.36
    หร
    -0.35
     oreille
    -0.35
     perfección
    -0.34
     vœ
    -0.34
     prêtres
    -0.34
     viejos
    -0.33
     pouss
    -0.33
    POSITIVE LOGITS
     damages
    2.08
     Damages
    1.99
     DAMAGES
    1.82
    Dama
    1.41
     Dama
    1.00
     dama
    0.85
     damaging
    0.83
     Compensation
    0.81
    dama
    0.79
     damaged
    0.78
    Activations Density 0.016%

    No Known Activations