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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1031
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    Explanations

    references to the condition or maintenance of biking trails

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snippetHide
    -0.43
     GenerationType
    -0.41
    tivitas
    -0.38
    mobileqq
    -0.38
    serviceWorker
    -0.34
    ikä
    -0.34
     Studium
    -0.34
    PerformLayout
    -0.33
    displayquote
    -0.33
    migrations
    -0.33
    POSITIVE LOGITS
     roads
    0.74
     road
    0.68
    AsUp
    0.67
     muddy
    0.67
     gravel
    0.66
     dirt
    0.65
    gravel
    0.64
     Roads
    0.60
    roads
    0.60
     potholes
    0.60
    Activations Density 0.222%

    No Known Activations