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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9856
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    INDEX
    Explanations

    references to stone, rock, or minerals in various contexts

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

    associated with rocks or stones

    np_acts-logits-general · gemini-2.0-flash

    stone features and structures

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.48
    XmlAccessType
    -0.48
     referrerpolicy
    -0.44
     graisse
    -0.43
     læng
    -0.42
     helicópter
    -0.41
     springfox
    -0.40
    transQ
    -0.40
     mùi
    -0.39
     BrowserRouter
    -0.39
    POSITIVE LOGITS
     stone
    1.09
     Stone
    0.98
     STONE
    0.95
    Stone
    0.94
     stones
    0.88
     rock
    0.85
    stone
    0.85
    Stones
    0.84
     Stones
    0.80
    STONE
    0.78
    Activations Density 0.625%

    No Known Activations