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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. 9-RES-JB
    11. 8878
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    Explanations

    keywords related to residential areas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of residential areas or developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xon
    -0.97
    nir
    -0.83
    erity
    -0.75
    fortune
    -0.73
    nah
    -0.73
    imoto
    -0.72
    mus
    -0.71
    hered
    -0.71
    mas
    -0.71
    POS
    -0.70
    POSITIVE LOGITS
     dwellings
    0.99
     tenancy
    0.96
     buildings
    0.95
     occupancy
    0.90
     neighbourhoods
    0.90
     halls
    0.88
     estates
    0.87
    ization
    0.86
    ized
    0.86
    izes
    0.86
    Activations Density 0.019%

    No Known Activations