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

    mentions of affordable housing

    oai_token-act-pair · gpt-3.5-turbo

    references to affordable housing and related concepts

    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
     Honour
    -0.81
    warts
    -0.73
    nen
    -0.72
    yang
    -0.71
    swick
    -0.68
    sama
    -0.68
    chem
    -0.68
    jong
    -0.67
    hatt
    -0.67
    OGR
    -0.67
    POSITIVE LOGITS
     affordability
    1.02
     affordable
    0.94
     housing
    0.89
     accommodation
    0.85
     accommodations
    0.83
     tract
    0.81
    ordable
    0.81
     conversions
    0.79
     priced
    0.78
     vouchers
    0.78
    Activations Density 0.009%

    No Known Activations