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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10525
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    references to meetings or conferences in a publication context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſche
    -0.52
    Personendaten
    -0.52
     ſta
    -0.50
     tranſ
    -0.49
     queſta
    -0.49
    MergeFrom
    -0.47
     autorytatywna
    -0.47
     fhew
    -0.46
     المعيارى
    -0.46
     WEEKLY
    -0.46
    POSITIVE LOGITS
     poster
    0.98
     Abstracts
    0.93
     abstracts
    0.92
     Poster
    0.89
    Poster
    0.85
     abstract
    0.85
     Posters
    0.84
     posters
    0.80
     Conference
    0.79
    poster
    0.78
    Activations Density 0.360%

    No Known Activations