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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. 13381
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    keywords related to medical and clearance statuses

    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
     onPostExecute
    -0.51
     getItemCount
    -0.38
    HostException
    -0.35
     onBind
    -0.33
     ladri
    -0.33
     ContentValues
    -0.32
    DBObject
    -0.32
     useParams
    -0.32
     bParam
    -0.32
    runApp
    -0.31
    POSITIVE LOGITS
     clearing
    3.05
     cleared
    3.00
     clears
    2.92
    Clear
    2.77
     clear
    2.75
     Clear
    2.73
     Clearing
    2.70
    clear
    2.69
     clearance
    2.64
    clearing
    2.61
    Activations Density 0.610%

    No Known Activations