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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12429
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    Explanations

    references to hotels and accommodations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    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
    -0.59
     שוליים
    -0.59
     kasarigan
    -0.57
     beginnetje
    -0.56
    帖最后由
    -0.51
    richTextPanel
    -0.50
    WriteTagHelper
    -0.47
    OGND
    -0.45
    complexContent
    -0.43
    tagHelperRunner
    -0.43
    POSITIVE LOGITS
     hotel
    1.70
     Hotel
    1.59
     hotels
    1.47
    Hotel
    1.45
    hotel
    1.41
     HOTEL
    1.35
     Hotels
    1.29
    ホテル
    1.19
    HOTEL
    1.18
     hotell
    1.18
    Activations Density 0.215%

    No Known Activations