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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7896
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    Explanations

    references to buffet-style dining

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

    "buffet"

    np_acts-logits-general · gemini-2.0-flash

    buffet or unlimited food

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.54
    
    -0.50
     CanadaChoose
    -0.50
    WebVitals
    -0.48
     Litter
    -0.44
     IActionResult
    -0.43
    IUrlHelper
    -0.42
     transférez
    -0.42
    setArguments
    -0.42
    Rüyada
    -0.41
    POSITIVE LOGITS
     buffet
    1.46
     Buffet
    1.24
    buffet
    1.15
    Buff
    1.02
     buff
    1.00
     BUFF
    0.87
     Buff
    0.86
    buff
    0.78
     buf
    0.77
     unlimited
    0.76
    Activations Density 0.093%

    No Known Activations