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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. 43467
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    INDEX
    Explanations

    names of football clubs and players, particularly those from Latin America and Japan

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

    football players, league, cup, season

    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
     quæ
    -0.44
     Diſ
    -0.43
     ſch
    -0.42
    +#+
    -0.42
     preſent
    -0.41
     Anſ
    -0.41
     kasarigan
    -0.41
    usermodel
    -0.40
     skor
    -0.40
     Efq
    -0.40
    POSITIVE LOGITS
     Normdatei
    0.48
     يتيمه
    0.46
    ंदीखरीदारी
    0.45
    msgTypes
    0.44
    AsUp
    0.44
    TIMORE
    0.43
    endcsname
    0.43
     الحره
    0.42
    principalColumn
    0.42
     cherchés
    0.41
    Activations Density 0.035%

    No Known Activations