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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 2481
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    INDEX
    Explanations

    references to dining experiences and restaurant environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    seating or tables

    np_acts-logits-general · gemini-2.0-flash

    occupied seats or tables

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyTitle
    -0.46
     '\\;'
    -0.41
     SYN
    -0.41
    AddTagHelper
    -0.40
    TagMode
    -0.39
    RTLR
    -0.36
     jelen
    -0.36
     AppCompatTheme
    -0.35
    Revenir
    -0.34
    CloseOperation
    -0.33
    POSITIVE LOGITS
     seats
    0.66
     reserved
    0.62
     allocated
    0.59
     seat
    0.57
     allotted
    0.56
     balcony
    0.55
    seat
    0.54
     Assigned
    0.53
     vacated
    0.53
     occupied
    0.52
    Activations Density 0.167%

    No Known Activations