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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 4304
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    terms related to body composition and health metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     otomatig
    -0.47
     namanya
    -0.44
    #+#
    -0.42
    liceerd
    -0.41
     <=",
    -0.40
    ︎
    -0.40
    sidemargin
    -0.38
    YourGuide
    -0.38
    getSelectedItem
    -0.37
    fieldId
    -0.35
    POSITIVE LOGITS
    guards
    0.81
     politic
    0.81
    builder
    0.71
    builders
    0.71
     Body
    0.68
     BODY
    0.64
    Body
    0.63
     parts
    0.61
    parts
    0.60
    body
    0.59
    Activations Density 0.104%

    No Known Activations