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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 9825
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    Explanations

    academic references and citations pertaining to scientific studies

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

    Numbers within brackets

    np_acts-logits-general · gemini-2.0-flash

    reverse or lot followed by number

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     queſta
    -0.91
    ſelves
    -0.85
     itſelf
    -0.82
     myſelf
    -0.82
     —
    -0.80
    mpagne
    -0.79
    ſelf
    -0.76
     stockbild
    -0.76
     ſche
    -0.75
    <unused8>
    -0.75
    POSITIVE LOGITS
     ,
    0.63
     didalam
    0.59
     diatas
    0.59
     dibawah
    0.50
     dimana
    0.49
    慢慢的
    0.48
       
    0.48
     diantaranya
    0.47
      
    0.46
     می‌باشد
    0.46
    Activations Density 0.880%

    No Known Activations