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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 126658
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    Explanations

    names of athletes and their associated events or performances

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

    names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     بيها
    -0.58
    KommentareTeilen
    -0.53
     <>",
    -0.51
    Personendaten
    -0.51
    HasIndex
    -0.51
     صوتيه
    -0.51
    IntoConstraints
    -0.49
     الدولى
    -0.49
     specifics
    -0.48
    SaveChangesAsync
    -0.44
    POSITIVE LOGITS
    PreferredItem
    0.37
     enfans
    0.37
    Rujuakan
    0.37
    Geplaatst
    0.36
     isKindOfClass
    0.34
    ukone
    0.33
    MessageTagHelper
    0.33
    Viited
    0.32
     dàng
    0.32
     Wikispecies
    0.32
    Activations Density 0.045%

    No Known Activations