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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 6386
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    terms related to wild types and wildlife

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <>",
    -0.44
    帖最后由
    -0.40
     Audiodateien
    -0.39
     >=",
    -0.39
    findpost
    -0.36
     пун
    -0.35
     noses
    -0.35
     <=",
    -0.34
    Microkernel
    -0.34
    ⓧ
    -0.34
    POSITIVE LOGITS
     Wild
    1.18
    Wild
    1.17
     wild
    1.13
    wild
    1.08
     WILD
    1.02
    WILD
    0.97
     salvaje
    0.81
     wilder
    0.74
     sauvage
    0.73
     salvajes
    0.69
    Activations Density 0.121%

    No Known Activations