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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10106
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    Explanations

    positive evaluations of films, particularly regarding their overall quality and emotional impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    帖最后由
    -0.46
    BagConstraints
    -0.43
    Datuak
    -0.38
     مشين
    -0.36
    MethodManager
    -0.35
    ficulties
    -0.35
     lyder
    -0.34
     portavoz
    -0.34
     missione
    -0.34
    Carriera
    -0.33
    POSITIVE LOGITS
     movie
    1.03
     film
    1.02
     films
    1.00
     movies
    0.95
    movie
    0.84
     Film
    0.83
     Films
    0.83
    film
    0.82
    films
    0.81
    Films
    0.81
    Activations Density 0.755%

    No Known Activations