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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. 7760
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    Explanations

    frequent expressions of the word "much" and related sentiments about intensity or quantity

    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
    xymatrix
    -0.46
    ########.
    -0.46
     typelib
    -0.44
    országban
    -0.41
     preliminary
    -0.41
     ticket
    -0.41
     Alembic
    -0.40
     Bip
    -0.40
     EXPERT
    -0.40
     filter
    -0.39
    POSITIVE LOGITS
     generous
    0.68
    
    0.61
     Generous
    0.57
    internalType
    0.55
     Americans
    0.52
     compassionate
    0.50
     James
    0.50
     compassion
    0.49
     California
    0.48
     Steven
    0.46
    Activations Density 0.047%

    No Known Activations