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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 34269
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    INDEX
    Explanations

    references to hotels and hospitality experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    hotel room services

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    FetchType
    -0.33
    ManyToOne
    -0.33
    ∬
    -0.32
     Frieden
    -0.32
     appropriations
    -0.31
    krebs
    -0.30
    SuccessListener
    -0.30
     CURIAM
    -0.30
     Stahl
    -0.30
    SerializedSize
    -0.29
    POSITIVE LOGITS
     hotel
    1.45
    hotel
    1.20
    Hotel
    1.15
     Hotel
    1.13
     HOTEL
    1.09
     hotels
    1.05
    HOTEL
    1.03
     hote
    1.02
     hotell
    1.00
    hôtel
    0.98
    Activations Density 0.050%

    No Known Activations