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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11541
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    specific car models and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WaitGroup
    -0.51
     kasarigan
    -0.51
    PMailer
    -0.46
     createSprite
    -0.46
     Rocker
    -0.45
    WebElementEntity
    -0.45
     '\\;'
    -0.44
    jspb
    -0.43
     defaultstate
    -0.43
     mxArray
    -0.43
    POSITIVE LOGITS
     luxury
    0.57
     SUV
    0.48
    Luxury
    0.46
     Luxury
    0.46
    luxury
    0.46
     mewah
    0.46
     luxus
    0.45
     Infórmanos
    0.45
     SUVs
    0.44
     luxurious
    0.44
    Activations Density 0.232%

    No Known Activations