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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11021
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    terms related to co-occurrence and receptor interactions in medical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dostęp
    -0.44
     ABSOL
    -0.44
    marvin
    -0.43
    felizmente
    -0.43
    SourceChecksum
    -0.42
    rinology
    -0.42
    cstring
    -0.41
     Kramer
    -0.41
    Kjelder
    -0.41
    zard
    -0.41
    POSITIVE LOGITS
     co
    1.96
    Co
    1.93
     Co
    1.93
    co
    1.66
    CO
    1.38
     CO
    1.33
    Cof
    0.95
     cobalt
    0.93
     cof
    0.93
     Cof
    0.92
    Activations Density 0.138%

    No Known Activations