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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. 11153
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    Explanations

    references to arms, including those of people and mechanical devices

    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
     Flyer
    -0.39
     surla
    -0.39
     Autorisations
    -0.37
    autor
    -0.34
    tring
    -0.33
     Carla
    -0.33
     Leopoldo
    -0.32
    gm
    -0.32
     Rudy
    -0.32
    iverr
    -0.32
    POSITIVE LOGITS
    UrlResolution
    0.65
    chair
    0.58
    AnchorStyles
    0.58
    chairs
    0.57
     pleaſure
    0.57
    EndContext
    0.54
    Chair
    0.53
    CHAIR
    0.51
     Arm
    0.49
     FetchType
    0.49
    Activations Density 0.196%

    No Known Activations