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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. 4198
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    Explanations

    references to clothing and what individuals are wearing

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

    articles of clothing and accessories

    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
     snippetHide
    -0.63
     desmotivaciones
    -0.57
    RegressionTest
    -0.57
    TypedDataSet
    -0.57
    contentLoaded
    -0.57
    Personendaten
    -0.57
    paksa
    -0.56
    
    -0.56
    
    -0.54
    
    -0.54
    POSITIVE LOGITS
     shoes
    0.62
     masks
    0.57
     mask
    0.56
     hats
    0.54
     headphones
    0.54
     gloves
    0.54
     smile
    0.53
     wear
    0.52
     Wear
    0.52
     clothes
    0.52
    Activations Density 0.022%

    No Known Activations