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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 6181
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    Explanations

    references to shoes and footwear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rahman
    -0.84
    ificantly
    -0.83
     disponibilités
    -0.81
    }$​
    -0.81
    Życiorys
    -0.81
    ."],
    -0.78
    %]
    -0.78
     EconPapers
    -0.77
    baran
    -0.77
    ]-->
    -0.76
    POSITIVE LOGITS
     shoes
    1.91
     shoe
    1.80
     Shoe
    1.63
     Shoes
    1.57
    Shoes
    1.56
    Shoe
    1.48
    shoes
    1.41
    shoe
    1.41
     Shoemaker
    1.26
     SHOES
    1.25
    Activations Density 0.006%

    No Known Activations