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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. 10565
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    INDEX
    Explanations

    phrases related to efficacy in medical treatments or studies

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

    efficacy studies

    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
    ly
    -0.59
     Савезне
    -0.44
     Normdatei
    -0.44
     ſer
    -0.43
    openConnection
    -0.43
     hú
    -0.43
    ^
    -0.42
     Maul
    -0.41
    LY
    -0.41
    CRUD
    -0.41
    POSITIVE LOGITS
     Efficacy
    0.73
    fficacy
    0.65
    Efficacy
    0.61
     efficacy
    0.59
    Demografía
    0.58
    efficacy
    0.50
     للاسماء
    0.50
     Wikiseite
    0.49
     Audiodateien
    0.48
     mochilas
    0.48
    Activations Density 0.035%

    No Known Activations