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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 95993
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    INDEX
    Explanations

    instances of the word "jaw" and its variants in different contexts

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

    jaw dropping, jaw portion, jawns

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odeon
    -0.57
     Lotte
    -0.54
    Архівовано
    -0.54
     Tric
    -0.50
     McCann
    -0.50
    Brendan
    -0.50
    rien
    -0.49
     McCarty
    -0.48
     Opti
    -0.48
    Celeste
    -0.48
    POSITIVE LOGITS
     jaw
    2.08
    Jaw
    2.03
     Jaw
    2.02
    jaw
    1.78
     jaws
    1.43
     Jaws
    1.24
     Jow
    0.83
     Jawahar
    0.73
     Jawa
    0.68
     jawa
    0.67
    Activations Density 0.003%

    No Known Activations