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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 15531
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    INDEX
    Explanations

    references to specific films and their characteristics

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

    pop culture, music, and film

    np_acts-logits-general · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     Federer
    -0.58
     Hinata
    -0.52
    idopsis
    -0.52
     camry
    -0.50
     subtilis
    -0.50
     Strava
    -0.49
    phosa
    -0.48
    garmin
    -0.48
     Rashford
    -0.48
     Nadal
    -0.47
    POSITIVE LOGITS
     burlesque
    0.51
     cabaret
    0.50
     eccentric
    0.49
     drag
    0.49
     Marilyn
    0.48
     flamboyant
    0.46
     kits
    0.45
    drag
    0.44
     Lichten
    0.44
     glam
    0.42
    Activations Density 0.195%

    No Known Activations