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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. 5862
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    specific vehicle models and their characteristics

    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
    enumii
    -0.55
    CascadeType
    -0.47
     uParam
    -0.44
    缝
    -0.43
    +#+
    -0.43
    cnx
    -0.43
     defaultstate
    -0.43
     iPads
    -0.42
    BufferException
    -0.40
    lodash
    -0.40
    POSITIVE LOGITS
     disambiguazione
    0.47
     autorytatywna
    0.43
     hatchback
    0.43
    +#+#
    0.42
     tibur
    0.42
     prelude
    0.41
     lebar
    0.40
     MANUAL
    0.40
    COUVER
    0.39
     Manual
    0.39
    Activations Density 0.226%

    No Known Activations