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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9748
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    Explanations

    references to lakes and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    󠁢
    -0.49
     NgModule
    -0.46
     stroom
    -0.43
    Río
    -0.43
    BASEPATH
    -0.42
    documentElement
    -0.41
     Bradshaw
    -0.40
     papiers
    -0.40
     stream
    -0.40
     flexibles
    -0.40
    POSITIVE LOGITS
     lake
    1.13
     Lake
    1.05
    Lake
    0.99
     lakes
    0.96
     LAKE
    0.87
     Lakes
    0.85
    lake
    0.81
    Lakes
    0.81
    湖
    0.78
    lakes
    0.77
    Activations Density 0.509%

    No Known Activations