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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 12274
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    Explanations

    phrases related to descriptions of different types of apartments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of residential properties and living spaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     piece
    -0.79
     wrench
    -0.79
     opponent
    -0.72
    timer
    -0.71
     colleague
    -0.70
     string
    -0.70
    outine
    -0.69
     sheet
    -0.69
    ernaut
    -0.69
    istle
    -0.68
    POSITIVE LOGITS
     apartments
    2.40
     kitchens
    2.30
     gardens
    2.12
     bedrooms
    1.97
     condos
    1.88
     residences
    1.84
     bathrooms
    1.84
     rooms
    1.79
     classrooms
    1.77
     tents
    1.64
    Activations Density 0.042%

    No Known Activations