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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9126
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    references to local governance and events in San Francisco

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    msgSender
    -0.37
     Malaga
    -0.36
    UseVisualStyle
    -0.36
    featureID
    -0.35
     convergence
    -0.35
     Luton
    -0.35
     Lacey
    -0.34
    synthesize
    -0.32
     Riverside
    -0.32
     converge
    -0.32
    POSITIVE LOGITS
     SF
    1.16
    SF
    1.01
     sf
    0.94
     San
    0.92
    sf
    0.89
    San
    0.84
     Sf
    0.79
     SAN
    0.75
     Chronicle
    0.73
     SFP
    0.73
    Activations Density 0.335%

    No Known Activations