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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12388
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    Explanations

    details related to conditions and physical states of individuals or objects

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

    Describing something as "worn" or "dirty"

    np_acts-logits-general · gemini-2.0-flash

    worn, neglected, dirty

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
     betweenstory
    -0.60
    yarnpkg
    -0.60
    MemoryWarning
    -0.58
    migrationBuilder
    -0.57
    ViewFeatures
    -0.57
     الدولى
    -0.55
    initializeApp
    -0.54
     jsPsych
    -0.51
     مواليد
    -0.51
    :+:
    -0.50
    POSITIVE LOGITS
     dirty
    1.61
     filthy
    1.47
    dirty
    1.33
     Dirty
    1.30
     soiled
    1.23
     messy
    1.23
     muddy
    1.22
     dilapidated
    1.20
     filth
    1.19
     unclean
    1.19
    Activations Density 0.323%

    No Known Activations