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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5541
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    Explanations

    intensifiers related to the word "very."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hentet
    -0.52
     ſtate
    -0.46
    feest
    -0.44
     EDI
    -0.44
    ❋
    -0.43
     <<<<<<<<<<<<<<
    -0.43
    neme
    -0.43
     Spectra
    -0.43
     fob
    -0.42
    ࿔
    -0.42
    POSITIVE LOGITS
     very
    0.97
     muy
    0.90
     très
    0.85
    Very
    0.81
    Muy
    0.76
     Very
    0.75
     sehr
    0.75
     rất
    0.70
    Très
    0.69
    très
    0.68
    Activations Density 0.388%

    No Known Activations