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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12170
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    INDEX
    Explanations

    terms related to specific "zones" or regions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of zones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NECT
    -0.77
    thora
    -0.76
    aldi
    -0.76
    anooga
    -0.75
    cho
    -0.74
    nant
    -0.74
    issance
    -0.72
    edes
    -0.72
    utive
    -0.72
    sonian
    -0.72
    POSITIVE LOGITS
     zone
    0.95
     zones
    0.93
     dwell
    0.82
     Zone
    0.75
     ozone
    0.69
     closures
    0.69
     boundaries
    0.68
     alignment
    0.68
     depletion
    0.68
     boundary
    0.67
    Activations Density 0.026%

    No Known Activations