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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1389
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    specific identifiers, names, or titles within a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    addContainerGap
    -0.48
     zijne
    -0.46
     precisione
    -0.45
     spesa
    -0.43
     garanzia
    -0.43
     čierna
    -0.43
    zeitige
    -0.42
    帖最后由
    -0.42
     franquicia
    -0.41
     termica
    -0.41
    POSITIVE LOGITS
    
    0.50
     препратки
    0.47
    fjspx
    0.46
     كومونز
    0.45
    듈
    0.42
    PMailer
    0.42
     Савезне
    0.41
    ⁝
    0.41
    RefNanny
    0.40
    Diweddarwch
    0.40
    Activations Density 0.406%

    No Known Activations