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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9727
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    Explanations

    locations and accommodations in a travel context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.70
     kasarigan
    -0.60
    WriteTagHelper
    -0.60
    richTextPanel
    -0.58
     <>",
    -0.55
     שוליים
    -0.52
    Referencie
    -0.52
    complexContent
    -0.52
    PreInfinity
    -0.52
     beginnetje
    -0.49
    POSITIVE LOGITS
     Hotel
    0.90
     Hilton
    0.89
     Marriott
    0.84
     hotel
    0.84
     Sheraton
    0.83
     Hyatt
    0.80
     Holiday
    0.79
    Hotel
    0.79
    Hilton
    0.77
     Radisson
    0.76
    Activations Density 0.221%

    No Known Activations