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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12033
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    Explanations

    modal verbs and their usage in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    給你
    -0.52
    讓你
    -0.49
     yourself
    -0.47
     ayudará
    -0.44
     GenerationType
    -0.43
     nonché
    -0.43
    というと
    -0.43
     étrangères
    -0.43
     guère
    -0.42
    ècie
    -0.42
    POSITIVE LOGITS
     man
    0.71
     они
    0.69
     она
    0.63
     <<<<<<<<<<<<<<
    0.61
     they
    0.60
     sich
    0.59
     tämä
    0.56
     оно
    0.54
     nakalista
    0.53
     برانيه
    0.52
    Activations Density 0.082%

    No Known Activations