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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9397
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    references to different types of models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     telefónica
    -0.39
     izquier
    -0.38
     electricidad
    -0.37
     líquida
    -0.37
     transportar
    -0.35
     giyim
    -0.35
     navideño
    -0.35
     passieren
    -0.34
     bezpeč
    -0.34
     tört
    -0.34
    POSITIVE LOGITS
     model
    3.70
     Model
    3.17
    model
    3.06
     MODEL
    3.00
     models
    2.88
    Model
    2.78
     modelo
    2.72
     модель
    2.69
     modèle
    2.66
    MODEL
    2.66
    Activations Density 0.098%

    No Known Activations