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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 9540
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    terms related to bone and orthopedic materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    featureID
    -0.63
    setVerticalGroup
    -0.60
    serviceWorker
    -0.51
     propOrder
    -0.46
    complexContent
    -0.44
     doInBackground
    -0.42
    ьаж
    -0.41
    findpost
    -0.40
    justed
    -0.40
     phys
    -0.39
    POSITIVE LOGITS
     vampire
    0.55
     skeletal
    0.54
     bone
    0.53
     pirates
    0.53
     Pirate
    0.52
    vampire
    0.52
    骨
    0.51
     promoción
    0.50
    Steak
    0.50
     pirate
    0.49
    Activations Density 0.414%

    No Known Activations