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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11083
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    Explanations

    terms related to wildlife and nature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CppCodeGen
    -0.42
    沿革
    -0.41
     typelib
    -0.40
    lioni
    -0.38
    tructuring
    -0.35
     EnglishChoose
    -0.33
     InputDecoration
    -0.33
    AnimationsModule
    -0.32
     omnibus
    -0.31
    bpp
    -0.31
    POSITIVE LOGITS
     sightings
    1.30
     sighting
    1.16
     spotting
    1.07
     wildlife
    1.02
     spotted
    0.90
    wildlife
    0.88
     binoculars
    0.86
    Wildlife
    0.84
     WILDLIFE
    0.83
     encounters
    0.82
    Activations Density 0.261%

    No Known Activations