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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. 3-RES-JB
    11. 22988
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    Explanations

    **words related to real estate.**

    oai_token-act-pair · gpt-3.5-turbo

    references to the real estate industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kali
    -0.77
     Welch
    -0.70
     CAM
    -0.70
    olon
    -0.69
     Breast
    -0.68
    nah
    -0.68
     Zimmer
    -0.68
    rd
    -0.68
    yz
    -0.67
    thia
    -0.66
    POSITIVE LOGITS
     holdings
    1.03
    estate
    1.01
     mogul
    0.96
    ertodd
    0.88
     agent
    0.87
     brokerage
    0.84
     estate
    0.84
     valuation
    0.82
    chool
    0.82
    icultural
    0.82
    Activations Density 0.014%

    No Known Activations