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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. 13064
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    Explanations

    elements representing various styles and types of structure in text, particularly related to formatting and leadership attributes

    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
    fromLTRB
    -0.37
    럴
    -0.35
     tả
    -0.35
    sensor
    -0.35
     Autorisations
    -0.34
    Shrink
    -0.33
    SNR
    -0.32
     residue
    -0.32
    rotz
    -0.32
    センサー
    -0.32
    POSITIVE LOGITS
     style
    3.22
     Style
    2.78
    style
    2.75
     STYLE
    2.59
    Style
    2.58
     styles
    2.52
     estilo
    2.48
    STYLE
    2.31
     Styles
    2.13
     стиль
    2.11
    Activations Density 0.598%

    No Known Activations