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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8520
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    Explanations

    references to various types of resorts and vacation destinations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Resort" or related vacation properties

    np_acts-logits-general · gemini-2.0-flash

    resort and lodging

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Autowired
    -0.44
    providedIn
    -0.41
     public
    -0.40
    XDECREF
    -0.40
     Public
    -0.40
    XMLHttpRequest
    -0.40
     Stroud
    -0.39
     franz
    -0.39
     seed
    -0.39
     Smiths
    -0.39
    POSITIVE LOGITS
     resort
    1.68
    resort
    1.58
    Resort
    1.57
     Resort
    1.52
     resorts
    1.51
     Resorts
    1.21
     куро
    1.00
    リゾート
    0.94
     resorting
    0.90
     resorted
    0.90
    Activations Density 0.128%

    No Known Activations