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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8053
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    Explanations

    references to hotels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Referencie
    -0.46
    ValueStyle
    -0.45
    ContentAsync
    -0.44
    Spoljašnje
    -0.41
    fillType
    -0.41
    tagHelperRunner
    -0.40
    pegno
    -0.38
    цезда
    -0.35
    Bronnen
    -0.35
    сми
    -0.35
    POSITIVE LOGITS
     hotel
    3.98
     Hotel
    3.66
    Hotel
    3.58
    hotel
    3.53
     hotels
    3.41
     HOTEL
    3.36
     Hotels
    3.09
    HOTEL
    3.02
    Hotels
    2.92
    hotels
    2.89
    Activations Density 0.040%

    No Known Activations