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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. 19841
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    Explanations

    phrases related to urban and city planning, including terms like "planning permission," "local control in planning," "local community," "sustainable transportation," "engineering and planning firm," and "urban planning experts."

    oai_token-act-pair · gpt-3.5-turbo

    references to urban planning concepts and processes

    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
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    POSITIVE LOGITS
     planner
    0.83
     obs
    0.82
    isphere
    0.80
     commission
    0.80
     planning
    0.80
    etary
    0.74
     planners
    0.74
     commissions
    0.74
     sessions
    0.72
     Nun
    0.67
    Activations Density 0.022%

    No Known Activations