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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. 2-RES-JB
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    Explanations

    references to residential areas or development in a community

    oai_token-act-pair · gpt-3.5-turbo

    references to residential development and housing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gans
    -0.81
    arak
    -0.79
    ĸļ
    -0.78
    xon
    -0.77
    glers
    -0.73
     Canaver
    -0.73
    erity
    -0.72
    POS
    -0.72
    urat
    -0.71
    heimer
    -0.70
    POSITIVE LOGITS
     residential
    1.16
     dwellings
    1.11
     Residential
    0.99
     buildings
    0.93
     occupancy
    0.91
     tenancy
    0.90
     dwelling
    0.88
     residences
    0.88
     burglary
    0.86
     neighb
    0.85
    Activations Density 0.007%

    No Known Activations