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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7644
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    Explanations

    terms related to urban transportation and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectorielle
    -0.39
     kvar
    -0.37
     Toutes
    -0.37
    Cordialement
    -0.36
     teis
    -0.35
     diamantes
    -0.34
     Partagez
    -0.34
     Kriege
    -0.34
    engkapi
    -0.33
     ciclos
    -0.32
    POSITIVE LOGITS
     '\\;'
    0.60
     ExecuteAsync
    0.58
     newOwner
    0.57
     المعيارى
    0.55
     snippetHide
    0.54
    BagConstraints
    0.53
     occasionally
    0.53
    RotationOrder
    0.52
    جوايز
    0.51
    BeginContext
    0.50
    Activations Density 1.174%

    No Known Activations