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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. 449
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    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
     heuer
    -0.41
     Vail
    -0.39
     narci
    -0.36
     Vad
    -0.35
    ########.
    -0.34
     Liechtenstein
    -0.34
     Gujarati
    -0.33
     Austrian
    -0.33
     Swiss
    -0.32
    期刊论文
    -0.32
    POSITIVE LOGITS
     Potsdam
    0.68
    Berlin
    0.65
     Berlin
    0.63
     typelib
    0.61
     DDR
    0.61
     يتيمه
    0.60
    fjspx
    0.59
     GDR
    0.57
     berlin
    0.56
     Elba
    0.56
    Activations Density 0.393%

    No Known Activations