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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. 11773
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    Explanations

    references to culinary experiences and dining establishments

    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
    RegressionTest
    -0.64
     cheap
    -0.58
    Cheap
    -0.56
     betweenstory
    -0.56
     cheaply
    -0.56
     Tourist
    -0.56
     Hostel
    -0.55
     Administrativna
    -0.55
    ItemBackground
    -0.54
     Cheap
    -0.53
    POSITIVE LOGITS
     spa
    0.63
     butler
    0.63
     infinity
    0.59
     signature
    0.57
     Spa
    0.56
     wellness
    0.51
    Spa
    0.50
     bespoke
    0.50
     villas
    0.49
     concierge
    0.47
    Activations Density 0.171%

    No Known Activations