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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8460
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    Explanations

    names of athletes and references to sports statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .
    -0.66
    1
    -0.62
    _
    -0.54
    '
    -0.54
    2
    -0.52
    ,
    -0.52
      
    -0.50
    ↵
    -0.49
    </blockquote>
    -0.49
     “
    -0.47
    POSITIVE LOGITS
     queſta
    1.63
     pleaſure
    1.55
     myſelf
    1.52
     disambiguazione
    1.43
     Reſ
    1.41
     Geſch
    1.41
    <unused28>
    1.41
    <unused52>
    1.41
    <unused14>
    1.41
    <unused8>
    1.41
    Activations Density 3.553%

    No Known Activations