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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 7680
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    Explanations

    references to outdoor activities and food-related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases about bringing food and supplies to events or activities.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VolleyError
    -0.38
    ➟
    -0.31
    JSONException
    -0.29
    glGen
    -0.29
     Den
    -0.28
    レンダー
    -0.27
    bottomRight
    -0.27
     Lam
    -0.27
    Legături
    -0.27
    TagMode
    -0.27
    POSITIVE LOGITS
     Bring
    2.23
     bring
    2.16
    Bring
    2.09
    bring
    2.03
     bringing
    1.98
     brought
    1.85
     brings
    1.84
     Bringing
    1.84
    bringing
    1.79
     BRING
    1.73
    Activations Density 0.263%

    No Known Activations