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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 8893
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    INDEX
    Explanations

    specific nouns that relate to various categories including technology, crime, entertainment, and domestic themes

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

    negative aspects of common things

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nôtre
    -0.48
     solches
    -0.47
     pihaknya
    -0.47
     orgull
    -0.46
     demokra
    -0.45
     gjerne
    -0.45
     såsom
    -0.44
     cucharadas
    -0.43
     Ganzen
    -0.43
     rumahnya
    -0.43
    POSITIVE LOGITS
     crap
    0.58
     bootleg
    0.57
     junk
    0.56
     heist
    0.56
     grime
    0.54
     fudge
    0.53
     shard
    0.53
     scrap
    0.53
     scammer
    0.53
     shit
    0.52
    Activations Density 0.182%

    No Known Activations