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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. 39416
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    INDEX
    Explanations

    references to film titles and notable elements of cinematic works

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

    disaster sci-fi movie titles

    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
     Kriminal
    -0.58
     crimen
    -0.41
     CRIME
    -0.38
     crime
    -0.35
     fairy
    -0.35
     Casanova
    -0.35
     kriminal
    -0.33
     hilarious
    -0.32
     CRIMINAL
    -0.32
     delighted
    -0.32
    POSITIVE LOGITS
     panic
    0.69
     IMAX
    0.66
    zzleHttp
    0.65
     claust
    0.64
     evacuation
    0.63
     Panic
    0.62
     FEMA
    0.62
    Panic
    0.61
     evacu
    0.61
     Terror
    0.60
    Activations Density 0.044%

    No Known Activations