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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13653
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    terms related to pharmacology, compounds, and chemical properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exams
    -0.50
     виправивши
    -0.48
    PyExc
    -0.48
     contextLoads
    -0.48
     embaj
    -0.44
    انظر
    -0.43
     getItemId
    -0.41
     Exams
    -0.41
    eapples
    -0.41
    hithe
    -0.41
    POSITIVE LOGITS
     versus
    0.60
     vs
    0.54
     Whereas
    0.54
     whereas
    0.52
    tagHelper
    0.50
     rather
    0.50
    Whereas
    0.49
     anstatt
    0.48
    rather
    0.47
     statt
    0.46
    Activations Density 1.121%

    No Known Activations