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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15630
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    INDEX
    Explanations

    variations of the word "May"

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    starting with "May" or "Mai"

    np_acts-logits-general · gemini-2.0-flash

    may, mayo, mai prefixes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    __*/
    -0.40
    PullParser
    -0.40
    XmlAccessType
    -0.39
    endregion
    -0.35
    SOUNDBITE
    -0.35
    gatsby
    -0.34
    <bos>
    -0.34
    }])
    -0.33
    execSQL
    -0.33
    }`
    -0.33
    POSITIVE LOGITS
    May
    0.58
     May
    0.57
     mắn
    0.57
     getItemId
    0.54
    mayo
    0.52
     Mayo
    0.50
    MAY
    0.50
     Mail
    0.49
    hematics
    0.49
     Italijanski
    0.48
    Activations Density 0.144%

    No Known Activations