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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. 7-RES-JB
    11. 14601
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    Explanations

    terms related to urban planning and real estate development

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urban development and construction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Virus
    -0.80
    bian
    -0.79
    reme
    -0.74
    mone
    -0.72
     Wilde
    -0.71
    untu
    -0.68
     Gamer
    -0.68
    lean
    -0.68
     synaptic
    -0.68
    netflix
    -0.67
    POSITIVE LOGITS
     redevelopment
    1.18
    Construction
    1.09
     redevelop
    1.01
     bulldo
    1.00
     projects
    0.99
     construction
    0.98
     renovation
    0.94
     zoning
    0.92
     leasing
    0.91
     project
    0.88
    Activations Density 0.245%

    No Known Activations