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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12917
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    Explanations

    references to wild animals and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <>",
    -0.42
    帖最后由
    -0.41
     Audiodateien
    -0.38
     >=",
    -0.38
     détermin
    -0.35
     diting
    -0.35
    BufferException
    -0.34
    postIndex
    -0.34
    Microkernel
    -0.34
     Bellas
    -0.34
    POSITIVE LOGITS
     Wild
    1.30
    Wild
    1.27
     wild
    1.26
    wild
    1.19
     WILD
    1.09
    WILD
    1.05
     sauvage
    0.85
     salvaje
    0.85
     wilder
    0.81
     野
    0.72
    Activations Density 0.146%

    No Known Activations