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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 3360
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    Explanations

    the frequent occurrence of the word "many."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Crusoe
    -0.59
     droid
    -0.52
    VIAF
    -0.50
    brate
    -0.48
    Crist
    -0.47
     waistcoat
    -0.46
    HostException
    -0.45
     Droid
    -0.45
    sport
    -0.45
     armband
    -0.44
    POSITIVE LOGITS
     many
    1.38
     MANY
    1.23
     Many
    1.20
    MANY
    1.13
    Many
    1.13
    many
    1.13
     muchos
    0.93
     viele
    0.89
     few
    0.88
    Banyak
    0.88
    Activations Density 0.100%

    No Known Activations