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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. 116582
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    INDEX
    Explanations

    references to "paperback" and "concave" in various contexts

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

    paperback, Lara, concave, Yogi, crossword

    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
     maíz
    -0.50
     Selección
    -0.50
    OrWhiteSpace
    -0.44
     votación
    -0.43
     Aufklärung
    -0.42
     míst
    -0.42
     ungdom
    -0.42
     Ucrania
    -0.40
     nieve
    -0.39
     conejo
    -0.39
    POSITIVE LOGITS
    세
    1.09
     Paperback
    0.98
     Lara
    0.94
    Paperback
    0.90
     세
    0.88
     paperback
    0.85
    Lara
    0.85
     concave
    0.75
    細
    0.68
    橫
    0.67
    Activations Density 0.003%

    No Known Activations