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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. 23762
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    terms related to convolutional neural networks (CNNs) and their evaluation metrics

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

    contrastive loss vs cross-entropy loss

    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
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    Negative Logits
    PathParam
    -0.48
     betweenstory
    -0.42
    Референце
    -0.40
    HideFlags
    -0.40
     cầm
    -0.40
    الإنجليزية
    -0.40
     MonoBehaviour
    -0.38
    Réalisation
    -0.38
     Dexter
    -0.38
    cendental
    -0.37
    POSITIVE LOGITS
     loss
    0.75
     losses
    0.71
     Loss
    0.69
    Loss
    0.67
     LOSS
    0.67
    loss
    0.65
     Losses
    0.63
    Losses
    0.62
    LOSS
    0.57
    损失
    0.54
    Activations Density 0.159%

    No Known Activations