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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10837
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    Explanations

    mentions of 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 @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.47
     Taktlose
    -0.41
     uitge
    -0.40
    Dichloropropane
    -0.40
     <>",
    -0.38
    xFFFF
    -0.38
    ValueStyle
    -0.37
     feared
    -0.37
    ContentAsync
    -0.35
    Bigr
    -0.35
    POSITIVE LOGITS
     hotel
    1.42
     Hotel
    1.22
     hotels
    1.18
    Hotel
    1.12
    hotel
    1.09
     HOTEL
    1.09
     hotell
    1.02
     Hotels
    1.00
    HOTEL
    0.99
     hote
    0.96
    Activations Density 0.067%

    No Known Activations