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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 72886
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    INDEX
    Explanations

    mentions of awards and nominations related to performances in the film and television industry

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    actor roles and performances

    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
    Negative Logits
    pecu
    -0.45
    LOYEES
    -0.41
    labus
    -0.41
    ExtendWith
    -0.40
    cope
    -0.40
    IEA
    -0.38
    AxisAlignment
    -0.38
    hast
    -0.37
    gha
    -0.37
    awan
    -0.36
    POSITIVE LOGITS
     portraying
    1.08
    饰演
    0.98
     portrayal
    0.94
    扮演
    0.93
     playing
    0.90
     sebagai
    0.87
     portray
    0.85
     Playing
    0.81
    playing
    0.80
     portrays
    0.80
    Activations Density 0.025%

    No Known Activations