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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 13018
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    Explanations

    topics related to etiquette and professionalism in communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     souff
    -0.41
     entra
    -0.41
    رر
    -0.40
    gaande
    -0.40
    óis
    -0.39
    turas
    -0.39
     av
    -0.38
     dig
    -0.38
     reformas
    -0.37
    ộc
    -0.37
    POSITIVE LOGITS
     etiquette
    1.08
     Etiquette
    1.01
    Personendaten
    1.00
    AndEndTag
    0.95
    AsUp
    0.89
    DoubleQuotes
    0.86
     manners
    0.85
     виправивши
    0.83
    DataAnnotations
    0.81
     snippetHide
    0.78
    Activations Density 0.927%

    No Known Activations