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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9396
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    INDEX
    Explanations

    various positive attributes and assessments related to quality and value

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.66
    astify
    -0.61
     EconPapers
    -0.54
     /\.(
    -0.53
    AnchorStyles
    -0.52
    MemoryWarning
    -0.52
    dataclass
    -0.49
    coroutines
    -0.49
     StatefulWidget
    -0.49
    ValueStyle
    -0.49
    POSITIVE LOGITS
     quality
    0.63
    quality
    0.60
     Qualität
    0.57
     excuse
    0.57
     workmanship
    0.53
     sized
    0.52
     соотно
    0.51
     proportioned
    0.51
    excuse
    0.49
     craftsmanship
    0.49
    Activations Density 0.284%

    No Known Activations