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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 3767
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    Explanations

    references to forests and woodland environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     citoy
    -0.50
     vectorielle
    -0.49
    stuk
    -0.45
     religieuse
    -0.41
    <bos>
    -0.41
     pério
    -0.41
     lapin
    -0.41
     numéros
    -0.41
    épisode
    -0.41
     getApplication
    -0.40
    POSITIVE LOGITS
     Forest
    0.79
    FOREST
    0.77
    Forest
    0.77
    forest
    0.75
     FOREST
    0.73
    ')))
    0.73
     Wald
    0.73
     незавершена
    0.72
     forest
    0.71
    Wald
    0.71
    Activations Density 0.662%

    No Known Activations