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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9032
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    Explanations

    references to bodies of water, specifically lakes and ponds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Bodies of water (lakes, ponds, reservoirs)

    np_acts-logits-general · gemini-2.0-flash

    lakes and ponds

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 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
    UserScript
    -0.55
     Ters
    -0.50
    idopsis
    -0.50
    tide
    -0.49
     Vote
    -0.49
     Kent
    -0.48
    ofila
    -0.47
    Хьажоргаш
    -0.47
    ül
    -0.46
    RegistryLite
    -0.46
    POSITIVE LOGITS
     pond
    1.02
     lake
    0.95
     ponds
    0.89
     lakes
    0.86
     tank
    0.79
     Pond
    0.76
     reservoir
    0.74
     Ponds
    0.72
     POND
    0.72
    Pond
    0.71
    Activations Density 0.391%

    No Known Activations