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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 8796
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    Explanations

    terms related to business etiquette and professional interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    etiquette and manners

    np_acts-logits-general · gemini-2.0-flash

    office manners and protocol

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     torchvision
    -0.65
     doInBackground
    -0.62
     MotionEvent
    -0.62
     BigNumberish
    -0.62
     Paglinawan
    -0.62
    makeConstraints
    -0.61
     numerus
    -0.58
    Locally
    -0.56
     Locally
    -0.56
     تضيفلها
    -0.56
    POSITIVE LOGITS
     politely
    0.99
     polite
    0.96
     politeness
    0.91
     tact
    0.90
     respectful
    0.90
    polite
    0.87
     conversational
    0.85
     respectfully
    0.83
     rapport
    0.80
     conversation
    0.80
    Activations Density 0.555%

    No Known Activations