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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. 8105
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    terms related to the Bay Area

    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
     onOptions
    -0.44
    oredCriteria
    -0.41
    findpost
    -0.41
    SupportActionBar
    -0.39
     surla
    -0.38
    ThroughAttribute
    -0.36
    riften
    -0.35
     Khrushchev
    -0.34
    ----</
    -0.34
     magister
    -0.33
    POSITIVE LOGITS
    Bay
    0.95
     Bay
    0.91
     bay
    0.86
    bay
    0.84
     BAY
    0.80
    BAY
    0.79
     bays
    0.69
     bahía
    0.66
     snippetHide
    0.66
     Bays
    0.60
    Activations Density 0.124%

    No Known Activations