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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 9438
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    terms related to car specifications and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     envisaged
    -0.66
     behaviour
    -0.62
     neighbouring
    -0.61
     recognised
    -0.60
     Whilst
    -0.59
     realised
    -0.59
     learnt
    -0.57
     whilst
    -0.56
    Whilst
    -0.55
     realising
    -0.55
    POSITIVE LOGITS
     otomatig
    0.69
     NASCAR
    0.63
    RTLR
    0.63
     federally
    0.61
     Midwest
    0.61
     railroad
    0.61
    Midwest
    0.60
    ®-
    0.59
     trucker
    0.59
     Omaha
    0.58
    Activations Density 0.543%

    No Known Activations