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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 3727
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    Explanations

    dialogue or conversational interactions between characters

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

    Polite address after titles (Mr., Lady, etc.)

    np_acts-logits-general · gemini-2.0-flash

    "Mr., sir, Monfieur, gentleman"

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fave
    -0.59
     faves
    -0.53
    RegressionTest
    -0.51
     referrerpolicy
    -0.49
     }}>
    -0.49
    GOTREF
    -0.49
     amada
    -0.49
    favorited
    -0.48
     favourite
    -0.48
    RotationOrder
    -0.48
    POSITIVE LOGITS
     Monfieur
    0.79
     gentleman
    0.76
     politely
    0.72
     monsieur
    0.71
    sieur
    0.69
     Efq
    0.69
     gentlemen
    0.68
    évaluateur
    0.67
     ſta
    0.66
     nakalista
    0.65
    Activations Density 0.176%

    No Known Activations