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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. 16074
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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
     Tübingen
    -0.49
    SerializedName
    -0.45
     jLabel
    -0.43
     disambiguazione
    -0.42
     oreille
    -0.41
    Gosh
    -0.38
    ‍♀
    -0.38
    adalajara
    -0.38
     Ohren
    -0.37
    ajuato
    -0.37
    POSITIVE LOGITS
     NYC
    1.59
    NYC
    1.48
     Manhattan
    1.45
     NYPD
    1.35
     NY
    1.33
    nyc
    1.31
    Manhattan
    1.29
    NY
    1.27
     nyc
    1.27
    纽约
    1.22
    Activations Density 0.668%

    No Known Activations