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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. 39822
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    INDEX
    Explanations

    metrics related to success rates and effectiveness in various contexts

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

    success rate

    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
     Italijani
    -0.36
    السكان
    -0.36
    رشف
    -0.35
     Exposure
    -0.34
    Exposure
    -0.33
     fetchData
    -0.33
     AssemblyCulture
    -0.32
     AppDelegate
    -0.32
     propOrder
    -0.32
     MMC
    -0.31
    POSITIVE LOGITS
     success
    1.41
    success
    1.20
     Erfolgs
    1.15
     successes
    1.14
    Success
    1.09
     Success
    1.09
     successful
    1.07
     succès
    1.02
    成功
    1.02
     SUCCESS
    0.98
    Activations Density 0.119%

    No Known Activations