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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9883
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    references to loss in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     argint
    -0.57
     maș
    -0.57
    :✨
    -0.56
    tagHelperRunner
    -0.56
    parsedMessage
    -0.54
    دانشنامهٔ
    -0.50
     băr
    -0.49
     $_"
    -0.49
    rsiniz
    -0.48
    moveToFirst
    -0.48
    POSITIVE LOGITS
     losing
    1.41
     loss
    1.39
    loss
    1.27
     loses
    1.23
     Loss
    1.23
    Losing
    1.21
     Losing
    1.21
     losses
    1.20
     lost
    1.16
    losing
    1.15
    Activations Density 0.412%

    No Known Activations