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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. 88960
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    Explanations

    phrases indicating effort and responsibility in the context of information accuracy

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

    accuracy

    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
    webElementXpaths
    -0.61
    DockStyle
    -0.58
    Välislingid
    -0.52
     betweenstory
    -0.51
    öszi
    -0.50
    mush
    -0.50
    AntiForgeryToken
    -0.47
    AttributeSet
    -0.47
    tences
    -0.45
     CreateTagHelper
    -0.45
    POSITIVE LOGITS
     accuracy
    0.48
     reasonable
    0.48
     razonable
    0.44
     sorgfäl
    0.42
     accurate
    0.41
     Accuracy
    0.40
     raisonnable
    0.40
     reasonably
    0.40
    reasonable
    0.40
     accurately
    0.39
    Activations Density 0.010%

    No Known Activations