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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. 6-RES-JB
    11. 21808
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    Explanations

    references to different types of land and related aspects such as ownership, use, zoning, and acquisition

    oai_token-act-pair · gpt-3.5-turbo

    references to land and its usage or management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aptic
    -0.71
    ebus
    -0.70
     Spir
    -0.69
    glers
    -0.65
     laughter
    -0.65
     appar
    -0.64
    oresc
    -0.63
    unct
    -0.63
    ofi
    -0.63
    hani
    -0.62
    POSITIVE LOGITS
     holdings
    1.06
    owner
    0.92
     allot
    0.91
     leases
    0.90
    conservancy
    0.86
     allotted
    0.82
     permissions
    0.80
     zoning
    0.79
    locked
    0.79
     adjoining
    0.78
    Activations Density 0.077%

    No Known Activations