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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8345
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    questions related to travel and recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    findpost
    -0.49
     vía
    -0.41
     descarga
    -0.35
     []:
    -0.30
    thermia
    -0.29
    tidase
    -0.29
    atience
    -0.29
     geleverd
    -0.28
    ostatic
    -0.28
    styleUrls
    -0.28
    POSITIVE LOGITS
     travel
    3.55
     traveling
    3.25
     travelling
    3.17
     travels
    3.13
     traveled
    3.09
     travelled
    3.05
    travel
    3.03
     Travel
    2.98
     TRAVEL
    2.91
     Traveling
    2.86
    Activations Density 0.616%

    No Known Activations