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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. 99869
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    INDEX
    Explanations

    references to names, particularly proper nouns or titles related to "Vel" or similar prefixes

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

    words starting with "vel"

    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
    EDEFAULT
    -0.50
     للاسماء
    -0.49
    horabuena
    -0.46
    Tikang
    -0.46
     Guernsey
    -0.45
     Wiktionnaire
    -0.42
    naio
    -0.42
     فريبيس
    -0.41
    *~*~
    -0.40
     Andorra
    -0.39
    POSITIVE LOGITS
     Vel
    2.05
    Vel
    1.87
     vel
    1.66
     VEL
    1.55
     Velázquez
    1.34
     Velocity
    1.19
     Velas
    1.12
    Velocity
    1.11
     veloc
    1.10
     Velo
    1.06
    Activations Density 0.002%

    No Known Activations