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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. 13110
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    Explanations

    references to photo or video content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of photos and videos

    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
    appa
    -0.70
    oted
    -0.68
    ked
    -0.68
     nexus
    -0.66
    arma
    -0.66
     radius
    -0.63
     coli
    -0.63
    stood
    -0.62
    phi
    -0.62
     period
    -0.61
    POSITIVE LOGITS
    PHOTOS
    1.55
     VIDEOS
    0.98
     Images
    0.96
     IMAGES
    0.95
     PHOTO
    0.95
    Images
    0.94
    Photos
    0.92
    photos
    0.92
    MORE
    0.90
    OGR
    0.87
    Activations Density 0.009%

    No Known Activations