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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 412
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    formatting elements related to numerical output and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/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.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     հղումներ
    -0.62
    脚注の使い方
    -0.60
     Infór
    -0.57
    存于互联网档案馆
    -0.56
     surla
    -0.56
    inSlope
    -0.56
    tagHelperRunner
    -0.56
     ElementRef
    -0.51
    providedIn
    -0.51
     tranſ
    -0.50
    POSITIVE LOGITS
     AssemblyTitle
    0.42
    iomanip
    0.41
     scatola
    0.39
    
    0.35
     Nugent
    0.35
     McE
    0.34
    insert
    0.33
     Wagner
    0.33
    keyColumn
    0.33
     McRae
    0.33
    Activations Density 0.395%

    No Known Activations