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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10193
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    references to products and their features in the context of consumer experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OMITBAD
    -0.58
    ChildScrollView
    -0.55
     nakalista
    -0.48
    parsedMessage
    -0.45
    KommentareTeilen
    -0.44
     esternos
    -0.43
     health
    -0.43
     Heap
    -0.43
    RTSC
    -0.43
    fromnode
    -0.41
    POSITIVE LOGITS
    relatively
    0.44
     cheaper
    0.44
     comparatively
    0.42
    guruan
    0.40
     underrated
    0.40
     quite
    0.39
    topf
    0.39
    ModelSerializer
    0.39
     РС
    0.39
    hilangan
    0.38
    Activations Density 0.143%

    No Known Activations