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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 58968
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    Explanations

    references to mud or muddy conditions in various contexts

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

    mud and Mudaris

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DotNetBar
    -0.59
    ════
    -0.57
     llavero
    -0.52
    CloseOperation
    -0.50
    клопе
    -0.49
     recib
    -0.48
     brilla
    -0.47
    ications
    -0.47
    länge
    -0.46
    posable
    -0.45
    POSITIVE LOGITS
     mud
    1.20
     Mud
    1.16
    Mud
    1.07
     MUD
    1.06
    mud
    0.99
     muddy
    0.93
    MUD
    0.91
     Mudd
    0.82
     Muddy
    0.76
    泥
    0.68
    Activations Density 0.007%

    No Known Activations