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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 89034
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    Explanations

    references to muddy or dirty conditions

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

    mud and muddy

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GOTREF
    -0.46
     Вікіпе
    -0.45
     NSCoder
    -0.45
    Personendaten
    -0.45
     Infórmanos
    -0.45
    IsPostBack
    -0.44
    styleType
    -0.40
    soort
    -0.40
    ########.
    -0.40
     الرياضيه
    -0.40
    POSITIVE LOGITS
     mud
    1.72
     muddy
    1.62
    mud
    1.42
    Mud
    1.36
     Mud
    1.35
     MUD
    1.20
     Muddy
    1.16
    泥
    1.15
     dirt
    1.13
     泥
    1.09
    Activations Density 0.018%

    No Known Activations