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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. 9823
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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 @ 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
     StringTokenizer
    -0.42
     fier
    -0.41
     говорится
    -0.39
    Демографія
    -0.37
     ISNI
    -0.37
    ThroughAttribute
    -0.34
     determined
    -0.34
     AssemblyTitle
    -0.33
     Chi
    -0.33
     العن
    -0.33
    POSITIVE LOGITS
     Bengaluru
    0.64
    India
    0.61
     Chennai
    0.59
     Kolkata
    0.58
     Indias
    0.58
     India
    0.58
    Indians
    0.58
     indio
    0.57
     Mumbai
    0.57
    Indian
    0.56
    Activations Density 0.164%

    No Known Activations