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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. 71968
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    Explanations

    descriptions and evaluations of food quality and taste

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

    was perfectly

    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
     kasarigan
    -0.67
     EconPapers
    -0.59
     queſta
    -0.55
    出版年
    -0.54
     pleaſure
    -0.49
     alimentaires
    -0.48
    transQ
    -0.48
    ButtonModule
    -0.48
    foods
    -0.47
    Népesség
    -0.47
    POSITIVE LOGITS
     properly
    0.65
     cleanly
    0.63
     perfectly
    0.58
    properly
    0.58
     nicely
    0.55
     Properly
    0.55
     genuinely
    0.54
    perfectly
    0.54
     fresh
    0.53
     freshness
    0.50
    Activations Density 0.007%

    No Known Activations