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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10403
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    elements related to outdoor activities and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    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
    -0.57
     MotionEvent
    -0.53
    PhysRev
    -0.52
     JpaRepository
    -0.48
    UnusedPrivate
    -0.46
    GenerationType
    -0.46
     <<<<<<<<<<<<<<
    -0.45
    Parcelize
    -0.45
     '{@
    -0.44
    RTSC
    -0.44
    POSITIVE LOGITS
     climbing
    0.73
     Climbing
    0.64
     climbers
    0.61
    Climbing
    0.61
     trad
    0.59
    Climb
    0.58
     climb
    0.58
     routes
    0.56
    climbing
    0.56
     route
    0.55
    Activations Density 0.057%

    No Known Activations