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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. 65506
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    Explanations

    references to the drug rifampicin and its associated effects in medical contexts

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

    rifampicin

    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
    RetentionPolicy
    -0.56
     disambiguazione
    -0.48
    Демографія
    -0.48
    bootstrapcdn
    -0.46
     considérons
    -0.45
    mapStateToProps
    -0.44
     useAppContext
    -0.44
     preferências
    -0.44
     vectorielle
    -0.44
     ſind
    -0.43
    POSITIVE LOGITS
     Raf
    0.66
    Raf
    0.63
     REF
    0.57
     Raff
    0.57
     ref
    0.55
     Ref
    0.54
    Personensuche
    0.53
    ref
    0.52
    帖最后由
    0.50
     raf
    0.49
    Activations Density 0.010%

    No Known Activations