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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

    mentions of tenants or renters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of tenants and their housing-related situations

    oai_token-act-pair · gpt-3.5-turbo
    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
    erald
    -0.76
    aque
    -0.75
    ardon
    -0.73
    ebin
    -0.71
    nesia
    -0.70
     Flavoring
    -0.70
    ascar
    -0.69
    ombs
    -0.69
    orsche
    -0.67
    gio
    -0.66
    POSITIVE LOGITS
     tenants
    1.30
     tenant
    1.29
     landlords
    0.88
    ele
    0.84
     renters
    0.84
     tenancy
    0.83
     leases
    0.78
    hip
    0.76
     occupancy
    0.76
     leased
    0.75
    Activations Density 0.006%

    No Known Activations