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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5080
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    details related to automotive specifications and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LayoutStyle
    -0.53
    sepeda
    -0.43
    migrations
    -0.43
    __":
    -0.42
    AxisAlignment
    -0.41
     ExecuteAsync
    -0.40
    allowNull
    -0.39
     Ligne
    -0.39
     Sociales
    -0.38
     CVT
    -0.38
    POSITIVE LOGITS
     Edel
    0.54
    Edel
    0.50
     Signalez
    0.49
     edel
    0.48
     Hooker
    0.47
    edel
    0.46
     Sanderson
    0.45
    findpost
    0.42
     wei
    0.41
     Crane
    0.41
    Activations Density 0.251%

    No Known Activations