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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. 29785
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    Explanations

    references to "literature" and related terms within academic or research contexts

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

    literature

    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
     noDo
    -0.49
     Paralymp
    -0.41
     inva
    -0.41
    Dul
    -0.41
    
    -0.39
    invasion
    -0.39
    lewati
    -0.39
     Constitutional
    -0.39
    happiness
    -0.38
     CONSTITUTION
    -0.38
    POSITIVE LOGITS
     literature
    1.37
    literature
    1.20
    Literature
    1.09
     Literature
    1.09
     literatura
    1.05
     LITERATURE
    0.97
    文献
    0.95
     letteratura
    0.90
     Literatur
    0.88
    文獻
    0.85
    Activations Density 0.022%

    No Known Activations