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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8025
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    Explanations

    references to furniture that provides comfort, particularly couches and cushions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ]));
    -0.80
    textLabel
    -0.71
    dataclass
    -0.68
    thansa
    -0.67
    ExecuteReader
    -0.65
    CloseOperation
    -0.65
    ")));
    -0.64
    createServer
    -0.63
    PickerController
    -0.63
    hver
    -0.63
    POSITIVE LOGITS
     cushions
    1.33
     cushion
    1.25
     couch
    1.24
     Couch
    1.17
     Cushion
    1.12
     Cushi
    1.11
    couch
    1.07
    Couch
    1.06
     pillows
    0.98
     pillow
    0.94
    Activations Density 0.166%

    No Known Activations