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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 21-GEMMASCOPE-RES-16K
    11. 3700
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    text related to manners and etiquette in various social and professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_21/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ujednoznacz
    -0.73
    GOTREF
    -0.64
    WithIOException
    -0.56
    diag
    -0.54
    Decided
    -0.53
    spira
    -0.52
    रीद
    -0.51
    migrationBuilder
    -0.50
    ReusableCell
    -0.50
    StoryboardSegue
    -0.50
    POSITIVE LOGITS
     etiquette
    1.62
     manners
    1.57
     respect
    1.56
     respectful
    1.54
    respect
    1.51
     Respect
    1.50
    Respect
    1.46
     polite
    1.42
     politeness
    1.33
     RESPECT
    1.33
    Activations Density 0.409%

    No Known Activations