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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13492
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    Explanations

    references to antibiotics and their uses in treatment

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    MigrationBuilder
    -0.72
     EClass
    -0.59
    iastes
    -0.59
    ROLLER
    -0.56
    bewah
    -0.51
     emosi
    -0.50
    Balancer
    -0.50
     Volu
    -0.49
    Anlage
    -0.49
    onatos
    -0.48
    POSITIVE LOGITS
     antibiotic
    1.21
     antibiotics
    1.16
     resistance
    1.14
     antibio
    1.03
     antimicrobial
    1.00
     Resistance
    0.97
    resistance
    0.96
     résistance
    0.94
     Antibiotics
    0.93
     Antimicrobial
    0.92
    Activations Density 0.680%

    No Known Activations