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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 64195
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    INDEX
    Explanations

    references to authors and their works, particularly focusing on novels and literary discussions

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

    literary novels and fiction

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FlatAppearance
    -0.48
     vidéo
    -0.45
     videa
    -0.43
    UpInside
    -0.42
     overload
    -0.41
     Inventor
    -0.41
    Entrepreneur
    -0.40
    Client
    -0.40
     Videos
    -0.40
     Référence
    -0.40
    POSITIVE LOGITS
     literary
    1.18
     novels
    0.96
    literary
    0.96
     novelists
    0.87
     Literary
    0.87
    Literary
    0.87
     novelist
    0.85
     authors
    0.84
     littéraire
    0.82
     writers
    0.81
    Activations Density 0.071%

    No Known Activations