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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. 1-RES-JB
    11. 13048
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    INDEX
    Explanations

    high-quality items or attributes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "quality."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.73
    DR
    -0.69
    ker
    -0.67
    thus
    -0.65
    hiba
    -0.65
    imov
    -0.65
    sie
    -0.63
    sle
    -0.63
    stall
    -0.63
    opa
    -0.62
    POSITIVE LOGITS
    quality
    1.16
    DragonMagazine
    1.02
     Emin
    0.95
     quality
    0.95
     assurance
    0.92
    Quality
    0.91
    smanship
    0.82
    iful
    0.81
     equality
    0.80
    lihood
    0.80
    Activations Density 0.008%

    No Known Activations