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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. 49852
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    Explanations

    the term "Ward" and its variations in different contexts

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

    people named Ward or places called Ward

    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
    }
    -0.54
    expandindo
    -0.53
    });
    -0.51
     EconPapers
    -0.50
    MENAFN
    -0.49
    EndInit
    -0.48
     NIK
    -0.48
    })*/
    -0.46
     дописавши
    -0.46
     Teixeira
    -0.46
    POSITIVE LOGITS
     Ward
    2.31
    Ward
    2.20
     WARD
    1.92
     ward
    1.56
    ward
    1.23
    WARD
    1.22
     wards
    0.92
     Wardrobe
    0.91
     wardrobe
    0.81
     Warden
    0.79
    Activations Density 0.004%

    No Known Activations