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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 2222
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    terms associated with common illnesses, specifically respiratory conditions like colds and flu

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Foer
    -0.39
    請繼續往下閱讀
    -0.33
    enerys
    -0.33
    argento
    -0.32
    ưỡng
    -0.31
     Jurí
    -0.31
     Special
    -0.31
    ɐ
    -0.30
     xăm
    -0.30
    universo
    -0.30
    POSITIVE LOGITS
     ब्रेकडाउन
    0.75
    icitis
    0.63
     fever
    0.60
    Fever
    0.59
    nezeu
    0.59
     flu
    0.57
    fever
    0.57
     Infection
    0.57
     Fever
    0.57
     infec
    0.57
    Activations Density 0.659%

    No Known Activations