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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7933
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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 @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     StringTokenizer
    -0.36
    __*/
    -0.33
     vPvB
    -0.32
     Paglinawan
    -0.31
     ProtoMessage
    -0.31
    FormTagHelper
    -0.31
     beginnetje
    -0.30
    __((
    -0.30
     Komisi
    -0.30
     שוליים
    -0.29
    POSITIVE LOGITS
     hotel
    2.41
     Hotel
    2.16
     hotels
    2.13
    hotel
    2.11
    Hotel
    2.05
     HOTEL
    1.91
     Hotels
    1.91
    hotels
    1.83
    Hotels
    1.77
    HOTEL
    1.76
    Activations Density 0.147%

    No Known Activations