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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. 11504
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    INDEX
    Explanations

    descriptors of thickness in various contexts

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

    describing thickness or thinness

    np_acts-logits-general · gemini-2.0-flash

    thick and thin

    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
    \{\\
    -0.56
    хьтан
    -0.49
    neurial
    -0.47
    thâu
    -0.47
     Wiktionnaire
    -0.45
    erçe
    -0.45
    astéroïdes
    -0.44
    flashdata
    -0.44
     [*]
    -0.44
    .*")]
    -0.43
    POSITIVE LOGITS
    Thick
    0.82
     Thick
    0.81
    thick
    0.81
     thick
    0.75
     Thin
    0.74
    Thin
    0.72
     thicker
    0.66
     thicken
    0.63
     thinner
    0.60
     thinning
    0.58
    Activations Density 0.087%

    No Known Activations