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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13613
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    specific brand names and product categories related to footwear and clothing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElementXpaths
    -0.51
     <=",
    -0.49
     &___
    -0.48
    RenderAtEndOf
    -0.46
    UrlResolution
    -0.45
    verwijspagina
    -0.44
    AddTagHelper
    -0.42
    complexType
    -0.42
     Anfitrión
    -0.41
     ujednoznacz
    -0.41
    POSITIVE LOGITS
     burn
    0.47
    ＮＡ
    0.44
    toms
    0.42
    burn
    0.40
     Wayback
    0.39
     vole
    0.39
    UBER
    0.39
     Vend
    0.38
    }$​
    0.38
     Viss
    0.38
    Activations Density 0.225%

    No Known Activations