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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. 9924
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    specific brand names and product identifiers related to pharmaceutical and biochemical contexts

    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
    BagConstraints
    -0.60
    animaux
    -0.53
    ReusableCell
    -0.51
     ब्रेकडाउन
    -0.50
    appartement
    -0.49
    bibfield
    -0.49
     Administrativna
    -0.49
    SaveChangesAsync
    -0.48
    StoryboardSegue
    -0.48
    arriver
    -0.48
    POSITIVE LOGITS
     Iz
    0.96
     Ik
    0.92
     İ
    0.91
     Ig
    0.91
     Ira
    0.90
     Ian
    0.90
     Ike
    0.89
     Iro
    0.85
     Iy
    0.85
     Iv
    0.84
    Activations Density 0.561%

    No Known Activations