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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. 19504
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    Explanations

    names of athletes and public figures, particularly in the context of sports discussions

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

    names followed by descriptions

    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
    +#+#
    -0.60
    aarrggbb
    -0.58
    StructEnd
    -0.58
    expandindo
    -0.57
     NSCoder
    -0.55
    Smarty
    -0.52
    Personendaten
    -0.52
    
    -0.51
     utafitiHapana
    -0.51
    WaitGroup
    -0.50
    POSITIVE LOGITS
    guer
    0.32
    hiy
    0.31
     schle
    0.31
    zoon
    0.30
    hist
    0.30
     Bald
    0.30
    itory
    0.29
     whom
    0.29
     wach
    0.29
     who
    0.29
    Activations Density 0.060%

    No Known Activations