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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6636
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    Explanations

    mention of specific car models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     schoenen
    -0.42
     compuesto
    -0.39
     locura
    -0.39
     usługi
    -0.38
     Krakowie
    -0.37
     podjet
    -0.35
     Antrag
    -0.35
     compuesta
    -0.35
     calcetines
    -0.35
     redacción
    -0.35
    POSITIVE LOGITS
     насељу
    0.61
    thâu
    0.55
    LookAnd
    0.53
    vrolet
    0.52
    RenderAtEndOf
    0.51
     ModelExpression
    0.50
    ModelSerializer
    0.50
    hatsu
    0.50
    AnchorTagHelper
    0.49
     оригіналу
    0.49
    Activations Density 0.179%

    No Known Activations