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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14146
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    Explanations

    references to hotels and hospitality experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.52
    tagHelperRunner
    -0.50
    trás
    -0.45
    Bigr
    -0.43
     nakalista
    -0.42
    SerializedSize
    -0.41
    뀜
    -0.40
    Dichloropropane
    -0.39
     Autorisations
    -0.39
     Kjell
    -0.39
    POSITIVE LOGITS
     hotel
    1.32
     Hotel
    1.16
    Hotel
    1.09
     hotels
    1.09
    hotel
    1.05
     HOTEL
    1.01
     hotell
    0.98
    HOTEL
    0.95
     Hotels
    0.90
     motel
    0.89
    Activations Density 0.109%

    No Known Activations