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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11945
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    Explanations

    references to body temperature and warming methods related to surgical procedures

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

    parts of the body

    np_acts-logits-general · gemini-2.0-flash

    body parts and actions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bolsillo
    -0.44
     logistique
    -0.39
    WaitGroup
    -0.38
     échou
    -0.38
     mecán
    -0.37
     Lingkungan
    -0.37
     pédagog
    -0.36
     stanga
    -0.36
     ventilación
    -0.36
     šte
    -0.35
    POSITIVE LOGITS
     torso
    0.71
    半身
    0.59
     body
    0.58
    AnimationsModule
    0.57
     Body
    0.57
     BODY
    0.54
    胴
    0.53
     limbs
    0.53
    全身
    0.53
    身
    0.52
    Activations Density 0.355%

    No Known Activations