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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. 3-RES-JB
    6. 22104
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    Explanations

    mentions of specific names or terms, particularly "Gosnell" and "botched"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities named Gosnell

    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
    uyomi
    -0.83
     Crus
    -0.72
    yrinth
    -0.67
    gdala
    -0.67
     Carbuncle
    -0.66
     Immunity
    -0.65
     Samoa
    -0.61
     DRM
    -0.61
    enced
    -0.59
     floppy
    -0.59
    POSITIVE LOGITS
     Gos
    0.95
    daq
    0.92
    nell
    0.91
    ules
    0.80
    borg
    0.79
    ocial
    0.78
    forth
    0.78
    lin
    0.77
    heng
    0.76
    sel
    0.76
    Activations Density 0.005%

    No Known Activations