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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. 3-RES-JB
    11. 20700
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    INDEX
    Explanations

    mentions of tenants and landlord-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to tenants and rental situations

    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
    inx
    -0.78
    ebin
    -0.76
    aque
    -0.75
    erald
    -0.75
    ascar
    -0.75
    ooks
    -0.73
    obin
    -0.72
    Downloadha
    -0.71
    ardon
    -0.69
    ceed
    -0.69
    POSITIVE LOGITS
     tenants
    1.24
     tenant
    1.18
    ele
    0.87
     renters
    0.87
     landlords
    0.86
    hip
    0.82
    iffs
    0.79
     tenancy
    0.78
    folk
    0.76
     leases
    0.74
    Activations Density 0.010%

    No Known Activations