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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. 6496
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    Explanations

    expressions related to designated or specialized areas

    oai_token-act-pair · gpt-3.5-turbo

    terms related 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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.80
    HCR
    -0.78
    aldi
    -0.76
    ÃįÃį
    -0.75
    sonian
    -0.75
    issance
    -0.74
    thora
    -0.72
    Catal
    -0.71
    ntil
    -0.70
    NECT
    -0.70
    POSITIVE LOGITS
     zones
    1.03
     zone
    1.00
     dwell
    0.82
     Zone
    0.80
     boundaries
    0.74
     divid
    0.72
    ipolar
    0.70
     ozone
    0.70
     area
    0.69
     areas
    0.68
    Activations Density 0.015%

    No Known Activations