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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. 23241
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    INDEX
    Explanations

    descriptions of physical appearance, particularly focusing on eye and hair qualities

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to eye color and associated characteristics

    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
    0002
    -0.64
    nesota
    -0.60
     peripher
    -0.60
    enture
    -0.60
    ised
    -0.60
     Canad
    -0.59
     Gazette
    -0.58
    rosse
    -0.58
    ancouver
    -0.56
     Sask
    -0.55
    POSITIVE LOGITS
    eyed
    1.49
    hog
    0.98
    terness
    0.85
    ragon
    0.85
     eyed
    0.84
    eker
    0.81
    vironment
    0.81
    ewitness
    0.81
    throp
    0.74
    own
    0.74
    Activations Density 0.010%

    No Known Activations