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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 14584
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    references to animals, particularly large cats and various types of wildlife

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    animal names, particularly "tiger," "rabbit," "frog," "duck," "goat," "mouse," "cat," and "eagle."

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Geplaatst
    -0.40
    Personendaten
    -0.32
    /**
    -0.32
     يتيمه
    -0.31
    tagHelperRunner
    -0.30
    ulemon
    -0.30
     pulso
    -0.30
     prov
    -0.28
     ब्रेकडाउन
    -0.28
     Regency
    -0.27
    POSITIVE LOGITS
    fish
    0.65
    SBATCH
    0.64
    tail
    0.61
    艋
    0.59
    دانشنامهٔ
    0.59
    tails
    0.59
    seye
    0.57
    SpringRunner
    0.57
    skin
    0.56
    fortawesome
    0.56
    Activations Density 0.425%

    No Known Activations