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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 15448
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    terms related to fast food menu items, specifically referencing trademarks and descriptions of sandwiches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paglinawan
    -0.61
    FunctionFlags
    -0.56
     otomatig
    -0.55
     linens
    -0.54
    <%@
    -0.54
     acupuncture
    -0.51
     sherry
    -0.51
    Tikang
    -0.49
     snoring
    -0.49
    Apartments
    -0.49
    POSITIVE LOGITS
     fries
    1.02
     burger
    0.99
     McDonald
    0.90
     fast
    0.85
     Burger
    0.85
     Fries
    0.83
    🍟
    0.82
    🍔
    0.80
    McDonald
    0.80
    burger
    0.79
    Activations Density 0.173%

    No Known Activations