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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. 10153
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    quantitative references and statistical data

    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
    ⁠
    -0.53
     Majefty
    -0.49
    ſelves
    -0.48
    —¡
    -0.48
    ?“
    -0.48
     esports
    -0.46
    neſs
    -0.45
    Étienne
    -0.45
     rápid
    -0.45
     "¿
    -0.45
    POSITIVE LOGITS
     upto
    0.66
     didalam
    0.58
     diatas
    0.58
    
    0.57
     Италијани
    0.57
    noOf
    0.57
     Whilst
    0.57
     diantaranya
    0.56
    upto
    0.55
     dibawah
    0.54
    Activations Density 0.615%

    No Known Activations