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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. 7826
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    Explanations

    mentions of wildlife and animal species

    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
     tủ
    -0.42
    orsese
    -0.42
    AnimationsModule
    -0.42
    AnchorStyles
    -0.40
     rendement
    -0.38
    CppCodeGen
    -0.37
    ScopeManager
    -0.36
     baga
    -0.35
    Portail
    -0.35
     permu
    -0.35
    POSITIVE LOGITS
     wildlife
    1.12
     sightings
    1.08
     sighting
    0.93
    wildlife
    0.93
    Wildlife
    0.90
     spotting
    0.89
     WILDLIFE
    0.88
     Wildlife
    0.84
     binoculars
    0.77
     critters
    0.77
    Activations Density 0.283%

    No Known Activations