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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6410
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    Explanations

    structured formatting and organization in academic writing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.71
    請繼續往下閱讀
    -0.61
    中略
    -0.59
    NameInMap
    -0.59
     ujednoznacz
    -0.57
     kasarigan
    -0.56
    
    -0.54
    tvguidetime
    -0.54
    Показать
    -0.51
    ibouti
    -0.51
    POSITIVE LOGITS
    ↵↵↵↵↵
    0.63
    <h2>
    0.59
    ↵↵↵
    0.56
    ↵↵
    0.52
    ↵↵↵↵↵↵↵
    0.52
    </tbody>
    0.52
    ↵↵↵↵
    0.49
    ↵↵↵↵↵↵
    0.48
    ↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵
    0.46
    ↵↵↵↵↵↵↵↵↵
    0.45
    Activations Density 0.794%

    No Known Activations