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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

    refer to issues related to landlords and tenants

    oai_token-act-pair · gpt-3.5-turbo

    terms related to landlords and tenancy issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ascar
    -0.85
     Hurricanes
    -0.80
    Downloadha
    -0.80
     Flavoring
    -0.76
    psey
    -0.76
    nah
    -0.74
    oidal
    -0.73
    aptic
    -0.72
    gil
    -0.70
    aque
    -0.70
    POSITIVE LOGITS
     landlords
    1.33
     tenants
    1.15
     landlord
    1.14
     tenant
    1.13
     evict
    1.00
    lords
    0.93
     renters
    0.90
     challeng
    0.85
    lord
    0.84
     occupancy
    0.84
    Activations Density 0.010%

    No Known Activations