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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10947
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    INDEX
    Explanations

    titles of TV shows or movies

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

    Movie, film, or series titles

    np_acts-logits-general · gemini-2.0-flash

    movie and film titles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     llorando
    -0.50
     agujas
    -0.46
     rodillas
    -0.46
     ouders
    -0.45
    horabuena
    -0.44
     mediodía
    -0.44
     rusak
    -0.43
     věci
    -0.42
     informacija
    -0.42
     signifikan
    -0.41
    POSITIVE LOGITS
    最快更新
    0.50
    +#+
    0.49
     starring
    0.48
     protagon
    0.47
     remake
    0.47
     prequel
    0.46
    Profil
    0.44
    abestanden
    0.44
     sequel
    0.44
    SPJ
    0.43
    Activations Density 0.236%

    No Known Activations