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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8867
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    references to beaches and seaside locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bowen
    -0.38
    toFixed
    -0.33
     abur
    -0.31
    ционное
    -0.30
    openSession
    -0.29
     calculated
    -0.28
     позна
    -0.28
     Hau
    -0.28
     Raw
    -0.27
     Bour
    -0.27
    POSITIVE LOGITS
    Beach
    0.85
    beach
    0.80
     Beach
    0.78
     beach
    0.76
     BEACH
    0.75
    blocking
    0.66
    +#+#
    0.65
    Personendaten
    0.64
    abestanden
    0.59
    Coordinator
    0.59
    Activations Density 0.065%

    No Known Activations