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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15990
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    Explanations

    references to various species of wildlife, particularly birds and mammals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lioni
    -0.39
     tủ
    -0.38
    옥
    -0.36
    chufe
    -0.35
     synthetic
    -0.34
    menuStrip
    -0.34
    CppCodeGen
    -0.34
     sinte
    -0.33
     materialen
    -0.33
    levance
    -0.32
    POSITIVE LOGITS
     sightings
    1.34
     sighting
    1.22
     spotting
    1.07
     spotted
    1.03
     wildlife
    0.95
    spotted
    0.85
     sighted
    0.85
     Spotted
    0.83
    wildlife
    0.81
    sight
    0.80
    Activations Density 0.282%

    No Known Activations