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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. 44550
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    Explanations

    code snippets related to model saving and loading processes in machine learning frameworks like Keras

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

    trained models

    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
    CloseOperation
    -0.41
    localctx
    -0.39
    ########.
    -0.39
     renang
    -0.38
    InteropServices
    -0.38
    Lorem
    -0.35
    wijs
    -0.35
    SBATCH
    -0.34
     kepad
    -0.34
    richtet
    -0.33
    POSITIVE LOGITS
     trained
    0.76
    trained
    0.71
    模型
    0.65
     Trained
    0.65
     models
    0.63
    Trained
    0.63
     model
    0.63
     مرئيه
    0.61
     estekak
    0.58
    ModelSerializer
    0.56
    Activations Density 0.023%

    No Known Activations