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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. 0-RES-JB
    11. 23260
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    Explanations

    mention of specific technical terms related to image processing, specifically creating and working with eigenfaces

    oai_token-act-pair · gpt-3.5-turbo

    words related to facial features and types

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guardian
    -0.65
     magnet
    -0.64
     eagle
    -0.64
     hog
    -0.63
     coin
    -0.62
     blanket
    -0.62
     balloon
    -0.61
     standpoint
    -0.60
     malfunction
    -0.60
     component
    -0.60
    POSITIVE LOGITS
    rises
    1.69
    faces
    1.68
    falls
    1.67
    orses
    1.67
    cuts
    1.63
    plays
    1.62
    forms
    1.57
    breaks
    1.56
    boxes
    1.56
    resses
    1.55
    Activations Density 0.095%

    No Known Activations