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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. 5833
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    references to physical activities and athletic events

    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
     intptr
    -0.56
     kasarigan
    -0.47
    makeText
    -0.46
    ineno
    -0.42
     useCallback
    -0.42
    AndEndTag
    -0.42
    UnusedPrivate
    -0.41
    endphp
    -0.41
     ['$
    -0.40
    .*")]
    -0.40
    POSITIVE LOGITS
     runners
    1.38
     Runners
    1.27
     race
    1.23
     marathon
    1.21
     runner
    1.15
    Runners
    1.11
     Runner
    1.09
     races
    1.05
     Marathon
    1.05
     Race
    1.04
    Activations Density 0.162%

    No Known Activations