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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 3724
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    Explanations

    references to various types of dresses and attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     препратки
    -0.94
    unhofer
    -0.92
     pilotes
    -0.89
    .$,
    -0.86
    queryInterface
    -0.82
     Simult
    -0.82
    awtextra
    -0.80
    rivial
    -0.78
     quantités
    -0.77
    demort
    -0.77
    POSITIVE LOGITS
     dress
    1.41
     dresses
    1.39
    dress
    1.29
     Dress
    1.27
     DRESS
    1.25
    Dress
    1.13
     Dresses
    1.12
    DRESS
    1.06
    dres
    0.98
     dressing
    0.95
    Activations Density 0.059%

    No Known Activations