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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 8375
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    Explanations

    issues related to wastefulness and inefficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.50
     mergeFrom
    -0.46
     دیکھیے
    -0.44
    Viitteet
    -0.43
    ChildScrollView
    -0.42
    PostInfinity
    -0.41
    difficulty
    -0.41
    LookAnd
    -0.40
     ProtoMessage
    -0.39
    usercontent
    -0.39
    POSITIVE LOGITS
     waste
    2.75
     wasted
    2.58
     wasting
    2.38
    waste
    2.36
     Waste
    2.34
     wastes
    2.27
    Waste
    2.25
     WASTE
    2.22
     wasteful
    2.16
     wastage
    2.03
    Activations Density 0.588%

    No Known Activations