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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. 14618
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    Explanations

    mentions of film titles and references to movie stars

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

    film titles and years

    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
     linkovi
    -0.56
    IVEREF
    -0.51
    Datuak
    -0.49
     Préférences
    -0.49
    RegressionTest
    -0.49
    Personendaten
    -0.49
     समीक्षाओं
    -0.45
     تضيفلها
    -0.44
    protoimpl
    -0.44
     protoimpl
    -0.44
    POSITIVE LOGITS
    ThroughAttribute
    0.61
    bolista
    0.47
    Filmographie
    0.46
    ffilm
    0.45
    Бележки
    0.45
    clerView
    0.44
    AutoScaleMode
    0.42
     &___
    0.42
    ResumeLayout
    0.42
     Film
    0.42
    Activations Density 0.140%

    No Known Activations