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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 3617
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    references to sports achievements and participation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.39
    ագրություններ
    -0.37
    GEBURTS
    -0.34
     génér
    -0.33
     հղումներ
    -0.32
    efois
    -0.31
     fær
    -0.31
    Życiorys
    -0.31
    tagHelperRunner
    -0.31
     LEED
    -0.30
    POSITIVE LOGITS
     fixture
    0.63
     silverware
    0.60
     fixtures
    0.58
     Fixture
    0.57
     handicap
    0.56
     juniors
    0.56
    Fixtures
    0.56
     Fixtures
    0.56
     Bowls
    0.56
     county
    0.56
    Activations Density 0.161%

    No Known Activations