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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 4600
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    Explanations

    references to shoes and related clothing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    %");
    -0.40
    
    -0.40
     Mosaic
    -0.38
     pomi
    -0.38
     ]];
    -0.38
     Mosa
    -0.36
     GeoNames
    -0.36
     Ramos
    -0.35
     impact
    -0.35
     것입니다
    -0.35
    POSITIVE LOGITS
     shoes
    2.27
     Shoes
    1.96
    shoes
    1.89
    Shoes
    1.86
     SHOES
    1.80
     footwear
    1.65
     Schuhe
    1.58
     shoe
    1.56
     chaussures
    1.46
     zapatos
    1.45
    Activations Density 0.274%

    No Known Activations