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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 138
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    Explanations

    references to model loading and performance in machine learning context

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

    technical code and programming documentation with high activation on function names, method calls, and syntax elements.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.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
     EconPapers
    -0.47
     Bioaccumulative
    -0.46
     sprá
    -0.46
    Geplaatst
    -0.46
    verwijspagina
    -0.44
    Geografía
    -0.44
    Beijos
    -0.44
    extérieur
    -0.43
     AssemblyTitle
    -0.43
    Skocz
    -0.43
    POSITIVE LOGITS
     training
    0.89
     Training
    0.73
     train
    0.69
     trained
    0.68
    训练
    0.68
    Training
    0.68
     neural
    0.66
     TRAINING
    0.63
     tensor
    0.62
     keras
    0.59
    Activations Density 1.356%

    No Known Activations