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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. 94255
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    Explanations

    references to specific individuals in the context of sports, particularly rugby

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

    rugby player

    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
    aarrggbb
    -0.46
    Médaille
    -0.45
    ffindor
    -0.43
    LLocation
    -0.41
     arrows
    -0.40
    UrlResolution
    -0.39
     encamin
    -0.39
     cheiro
    -0.38
     carav
    -0.38
    StatusBadRequest
    -0.37
    POSITIVE LOGITS
     שוליים
    0.53
    sizeCache
    0.52
    期刊论文
    0.48
     חיצוניים
    0.42
     mulighed
    0.41
    تقاوى
    0.41
     rugby
    0.41
     Masyarakat
    0.40
     légale
    0.38
     sää
    0.37
    Activations Density 0.012%

    No Known Activations