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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4677
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    Explanations

    descriptions of fashionable clothing and accessories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.71
     socks
    -0.69
    🧦
    -0.60
     trousers
    -0.59
    rungsseite
    -0.59
    Socks
    -0.58
     baggy
    -0.57
     shirts
    -0.57
     Shirts
    -0.56
     Socks
    -0.56
    POSITIVE LOGITS
     patent
    0.52
     wedge
    0.50
     platform
    0.47
     Patent
    0.45
     esp
    0.45
     peep
    0.44
     platforms
    0.44
     metallic
    0.43
    wedge
    0.42
    ImageContext
    0.41
    Activations Density 0.184%

    No Known Activations