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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 642
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    Explanations

    phrases related to dining experiences and food quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    (!__
    -0.48
    webElementXpaths
    -0.48
     proste
    -0.40
     kaos
    -0.38
     familières
    -0.38
     illet
    -0.38
     recev
    -0.38
     fieldNum
    -0.37
     vérit
    -0.37
     végét
    -0.36
    POSITIVE LOGITS
     luxurious
    0.92
     luxury
    0.89
     upscale
    0.88
     posh
    0.88
     luxe
    0.84
     expensive
    0.83
     elite
    0.81
    高級
    0.80
    高端
    0.78
     premium
    0.77
    Activations Density 0.725%

    No Known Activations