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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 12598
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    Explanations

    references to various types of seating and furniture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riwal
    -0.70
    wpi
    -0.58
     détermination
    -0.57
     whistled
    -0.56
    PHeader
    -0.55
    urlopen
    -0.55
     INTERESAR
    -0.54
    LLocation
    -0.53
    UserScript
    -0.53
     pioggia
    -0.52
    POSITIVE LOGITS
     chair
    1.34
     chairs
    1.34
     bench
    1.22
     Chair
    1.18
    chair
    1.17
     Chairs
    1.16
     CHAIR
    1.12
    Chair
    1.12
     benches
    1.09
    chairs
    1.08
    Activations Density 0.420%

    No Known Activations