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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. 2-RES-JB
    6. 16281
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    INDEX
    Explanations

    words related to polishing or finishing to a high standard

    oai_token-act-pair · gpt-3.5-turbo

    terms related to finishing, refining, or enhancing the appearance of objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARM
    -0.79
    orne
    -0.77
    ommod
    -0.73
    rams
    -0.72
    erences
    -0.72
    ram
    -0.70
    omm
    -0.70
    avior
    -0.69
    lement
    -0.69
    alle
    -0.67
    POSITIVE LOGITS
     polish
    1.13
     coating
    0.91
     polished
    0.86
     Seym
    0.85
     gloss
    0.82
     slick
    0.79
    toe
    0.78
     grit
    0.77
     fingerprints
    0.77
    utical
    0.74
    Activations Density 0.034%

    No Known Activations