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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. 4-RES-JB
    11. 4795
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    Explanations

    commercial rental tenants or individuals occupying spaces for rent

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tenants and renters in a given context

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

    No Comments

    Negative Logits
    inx
    -0.83
    obin
    -0.77
    aque
    -0.77
    ilde
    -0.75
    otine
    -0.74
    orsche
    -0.73
    ascar
    -0.72
    ythm
    -0.72
    erald
    -0.72
    ardon
    -0.71
    POSITIVE LOGITS
     tenants
    1.15
     tenant
    1.13
    ele
    0.94
    iffs
    0.86
     landlords
    0.80
    hip
    0.78
     renters
    0.78
     tenancy
    0.75
    folk
    0.72
     leases
    0.71
    Activations Density 0.008%

    No Known Activations