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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 15952
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    references to rivers and related water bodies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Saab
    -0.37
    sensi
    -0.37
     Franco
    -0.35
     True
    -0.35
    Heh
    -0.35
     Poli
    -0.35
     martyrdom
    -0.34
     live
    -0.34
     "
    -0.34
     merit
    -0.34
    POSITIVE LOGITS
    River
    1.48
     River
    1.41
     river
    1.40
     RIVER
    1.30
    river
    1.26
    Rivers
    1.18
     rivers
    1.17
     Rivers
    1.12
     fiume
    1.05
     RIVERS
    1.00
    Activations Density 0.159%

    No Known Activations