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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9929
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    references to lakes and bodies of water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
    XIM
    -0.52
    وزش
    -0.51
     Pele
    -0.50
    いかない
    -0.48
    distribute
    -0.47
     Pap
    -0.46
    ณา
    -0.45
    ensä
    -0.45
    दार
    -0.44
     van
    -0.44
    POSITIVE LOGITS
     lake
    1.25
     lakes
    1.23
     Lake
    1.06
    Lake
    0.98
     LAKE
    0.90
     pond
    0.90
     ponds
    0.88
    Lakes
    0.87
    +#+#
    0.87
    湖
    0.86
    Activations Density 0.140%

    No Known Activations