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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1204
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    INDEX
    Explanations

    financial performance metrics related to movies

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

    Box office or movie-related contexts

    np_acts-logits-general · gemini-2.0-flash

    movie box office

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    ỡng
    -0.50
    Segoe
    -0.44
    hoeddwyd
    -0.41
     OFDb
    -0.40
    Personensuche
    -0.40
    Personendaten
    -0.40
    ablon
    -0.39
    Билгалдахарш
    -0.39
    issão
    -0.39
    theft
    -0.38
    POSITIVE LOGITS
     cinemas
    0.51
    #+#
    0.43
    票房
    0.42
     theaters
    0.42
     theatres
    0.40
    WriteBarrier
    0.39
     movie
    0.38
     exhibitors
    0.37
     dirilis
    0.37
    GTCX
    0.37
    Activations Density 0.155%

    No Known Activations