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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 8049
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    INDEX
    Explanations

    words and phrases related to various foods and dining experiences

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

    Types of salads and sandwiches

    np_acts-logits-general · gemini-2.0-flash

    salads, sandwiches, pickled and cold cuts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lusconi
    -0.52
    AppMethodBeat
    -0.51
     charbon
    -0.47
    tanleria
    -0.44
     Normdatei
    -0.44
     poudre
    -0.44
    featureID
    -0.42
    XmlRootElement
    -0.42
     Савезне
    -0.42
     Malle
    -0.42
    POSITIVE LOGITS
     salad
    0.64
     salads
    0.60
     cold
    0.49
     pickle
    0.49
     fridge
    0.48
     refrigerate
    0.48
     Refriger
    0.48
     Salad
    0.48
     refrigerated
    0.48
     marinated
    0.47
    Activations Density 0.169%

    No Known Activations