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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5782
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    Explanations

    mentions of "Lake" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LAKE
    -0.68
     lake
    -0.66
     Lake
    -0.63
     lakes
    -0.62
    Lake
    -0.57
    LAKE
    -0.55
    湖
    -0.52
     Lakes
    -0.50
    niksi
    -0.42
    теризу
    -0.42
    POSITIVE LOGITS
     disambiguazione
    0.67
    Personendaten
    0.58
    +#+
    0.54
    migrationBuilder
    0.50
     HttpNotFound
    0.49
     resourceCulture
    0.48
    Παραπομπές
    0.47
    parsedMessage
    0.46
    CreateModel
    0.46
    front
    0.45
    Activations Density 0.257%

    No Known Activations