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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9879
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    Explanations

    body parts and anatomical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedDtor
    -0.57
     disambiguazione
    -0.46
    CppMethod
    -0.43
    BufferException
    -0.43
    tagHelperRunner
    -0.42
     ब्रेकडाउन
    -0.42
     onPostExecute
    -0.40
    StandardCharsets
    -0.39
     linkovi
    -0.39
    DispatchToProps
    -0.38
    POSITIVE LOGITS
    bone
    0.70
     bone
    0.60
    Bone
    0.56
    bones
    0.56
     injury
    0.53
     Bone
    0.52
    piece
    0.51
    BONE
    0.50
     bones
    0.49
     muscles
    0.49
    Activations Density 0.289%

    No Known Activations