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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. 37742
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    INDEX
    Explanations

    phrases related to performances and affiliations with notable institutions and venues

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

    institutions and famous places

    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
     déchets
    -0.37
    setzer
    -0.32
     castigo
    -0.32
     fibra
    -0.31
     distinto
    -0.30
     Parkplatz
    -0.30
     voluntarios
    -0.30
     Región
    -0.30
     Wohnen
    -0.30
     soutien
    -0.29
    POSITIVE LOGITS
     Harvard
    1.00
     Louvre
    0.96
    Harvard
    0.85
     Vatican
    0.83
     Hogwarts
    0.81
     NASA
    0.81
     Smithsonian
    0.81
     Cannes
    0.80
     Disneyland
    0.79
     HARVARD
    0.79
    Activations Density 0.152%

    No Known Activations