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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. 3-RES-JB
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    terms related to urban and city planning

    oai_token-act-pair · gpt-3.5-turbo

    references to urban and community planning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inas
    -0.78
    osi
    -0.72
    anga
    -0.67
    ibaba
    -0.66
    ino
    -0.66
    ysis
    -0.64
    åı
    -0.64
    Hat
    -0.63
    upon
    -0.62
     Detected
    -0.62
    POSITIVE LOGITS
    isphere
    0.95
     planning
    0.83
     planner
    0.82
     commission
    0.77
     obs
    0.76
     commissions
    0.75
     planners
    0.71
     Plans
    0.71
    etary
    0.70
     permission
    0.69
    Activations Density 0.020%

    No Known Activations