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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. 9-RES-JB
    11. 23543
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    Explanations

    terms related to urban or real estate development

    oai_token-act-pair · gpt-3.5-turbo

    references to urban development and related planning concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    untu
    -0.73
    zees
    -0.69
    bian
    -0.68
     flask
    -0.68
    staff
    -0.66
    renheit
    -0.66
    Joined
    -0.66
    osi
    -0.66
    lua
    -0.65
     cand
    -0.64
    POSITIVE LOGITS
     zoning
    1.19
     redevelopment
    1.14
     bulldo
    1.01
     demolition
    0.99
     approvals
    0.95
     redevelop
    0.94
     landowners
    0.91
     encro
    0.89
    Construction
    0.89
     leases
    0.87
    Activations Density 0.231%

    No Known Activations