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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. 11-RES-JB
    11. 12279
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    Explanations

    phrases related to housing and affordability

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to housing and affordability issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATURE
    -0.78
    xon
    -0.71
    isy
    -0.70
    aneous
    -0.66
    osi
    -0.66
    romeda
    -0.64
    uality
    -0.63
     Vul
    -0.63
    ery
    -0.63
     Drac
    -0.63
    POSITIVE LOGITS
     affordability
    1.35
     vouchers
    0.95
     developments
    0.94
     estates
    0.94
     tenants
    0.90
    chool
    0.90
     vacancy
    0.89
     shortage
    0.89
    lords
    0.88
     listings
    0.87
    Activations Density 0.064%

    No Known Activations