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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10699
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    INDEX
    Explanations

    references to notable films or characters in cinematic history

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

    associated with movies

    np_acts-logits-general · gemini-2.0-flash

    movies and films

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaultstate
    -0.95
    LookAnd
    -0.94
     насељу
    -0.89
     disambiguazione
    -0.87
    SourceChecksum
    -0.84
     estekak
    -0.83
    цездатний
    -0.81
    Cyfeiriadau
    -0.80
    Datuak
    -0.79
     kaynağından
    -0.79
    POSITIVE LOGITS
     film
    1.10
     movie
    1.02
     movies
    1.02
     motion
    0.98
     cinema
    0.98
     Hollywood
    0.89
     films
    0.84
     feature
    0.83
    film
    0.81
     entertainment
    0.78
    Activations Density 0.246%

    No Known Activations