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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 1270
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    Explanations

    references to specific sneaker releases and their details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.45
     lustig
    -0.41
     المعيارى
    -0.40
     Orgel
    -0.40
     Económica
    -0.40
     للاسماء
    -0.37
    LoggerFactory
    -0.37
    richTextPanel
    -0.36
    /**
    -0.36
    scriptId
    -0.35
    POSITIVE LOGITS
     Nike
    1.05
     sneaker
    0.92
    Nike
    0.88
     nike
    0.87
     sneakers
    0.85
     Jordan
    0.83
     jordan
    0.75
     Sneaker
    0.74
     adidas
    0.74
    Jordan
    0.72
    Activations Density 0.134%

    No Known Activations