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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 5819
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    Explanations

    references to the Howard Johnson restaurant chain

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

    travel or being on the road

    np_acts-logits-general · gemini-2.0-flash

    travel stops and roads

    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
     Stadtteil
    -0.56
     Rathaus
    -0.53
     wijk
    -0.51
    rrggbb
    -0.47
     quartier
    -0.46
    っこう
    -0.45
     Altstadt
    -0.45
     neighborhood
    -0.44
     kaupung
    -0.43
     Kelurahan
    -0.43
    POSITIVE LOGITS
     traveling
    0.81
     highway
    0.81
     travelling
    0.80
     Highway
    0.76
     road
    0.76
     Traveling
    0.73
    Highway
    0.73
    highway
    0.72
     Road
    0.72
     travel
    0.71
    Activations Density 0.352%

    No Known Activations