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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. 14864
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    INDEX
    Explanations

    references to mud or related concepts

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

    mud, muddy, muddle, and mud-named places

    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
     llavero
    -0.52
    osten
    -0.49
     createSlice
    -0.48
    ramas
    -0.45
    rolle
    -0.40
    DotNetBar
    -0.40
    vener
    -0.40
     пона
    -0.40
    ‏‏
    -0.40
     distinctive
    -0.40
    POSITIVE LOGITS
     mud
    2.48
     Mud
    2.30
    Mud
    2.17
    mud
    2.08
     MUD
    1.95
    MUD
    1.82
     muddy
    1.63
     Muddy
    1.43
     Mudd
    1.41
    泥
    1.32
    Activations Density 0.002%

    No Known Activations