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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. 0-RES-JB
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    Explanations

    mentions of tenants in a real estate or rental context

    oai_token-act-pair · gpt-3.5-turbo

    references to tenants and their experiences or status in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brig
    -0.72
     Gab
    -0.70
    bow
    -0.69
    paste
    -0.66
    head
    -0.65
     Medal
    -0.65
     pen
    -0.65
     Mug
    -0.64
    rol
    -0.64
    AMA
    -0.63
    POSITIVE LOGITS
     tenants
    3.83
     tenant
    3.23
     renters
    2.44
     landlords
    1.97
     tenancy
    1.94
     landlord
    1.72
     occupants
    1.72
     rents
    1.53
     leases
    1.49
     occupant
    1.49
    Activations Density 0.012%

    No Known Activations