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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. 4542
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    Explanations

    references to reclining chairs and their features

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

    furniture or seating-related words, particularly "chair," "back," "seat," and descriptors like "comfy" and "leather."

    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
    Personendaten
    -0.62
     Normdatei
    -0.60
    Jereo
    -0.55
    TemporalType
    -0.55
    省市镇
    -0.54
    WebVitals
    -0.53
     <<<<<<<<<<<<<<
    -0.53
    énario
    -0.52
    urlopen
    -0.52
    migrationBuilder
    -0.51
    POSITIVE LOGITS
     chair
    2.30
     seat
    2.19
     chairs
    2.09
     seats
    2.03
     Chair
    1.92
    chair
    1.80
     Seat
    1.79
     Chairs
    1.77
    Chair
    1.77
     CHAIR
    1.77
    Activations Density 0.203%

    No Known Activations