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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 11644
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    Explanations

    references to specific sneaker models and their design elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    richTextPanel
    -0.44
    tagHelperRunner
    -0.43
     المعيارى
    -0.42
    Datuak
    -0.40
     lustig
    -0.39
    RTLR
    -0.38
    ApiModelProperty
    -0.36
    ListItemIcon
    -0.35
     seksi
    -0.35
     Worcestershire
    -0.35
    POSITIVE LOGITS
     Nike
    0.96
     sneaker
    0.87
     nike
    0.86
    Nike
    0.84
     Jordan
    0.82
     Sneaker
    0.76
     sneakers
    0.75
     jordan
    0.73
    Jordan
    0.73
     Sneakers
    0.73
    Activations Density 0.131%

    No Known Activations