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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 83791
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    Explanations

    references to various styles and features of footwear, particularly boots

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

    boots and ankle motion

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     infidelity
    -0.46
     memory
    -0.44
     frango
    -0.44
     idéia
    -0.42
     khiển
    -0.42
     clés
    -0.42
    })*/
    -0.41
    Flatten
    -0.40
     StatefulWidget
    -0.40
    recall
    -0.40
    POSITIVE LOGITS
     boots
    0.83
    Boots
    0.82
    boots
    0.76
     Boots
    0.74
    tiefel
    0.65
    évaluateur
    0.64
    UrlResolution
    0.60
    ブーツ
    0.60
     botas
    0.60
    👢
    0.56
    Activations Density 0.003%

    No Known Activations