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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. 18653
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    Explanations

    photographs and images mentioned in captions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to photos or visual media content

    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
    und
    -0.85
    orse
    -0.84
    ighters
    -0.81
    heimer
    -0.79
    uing
    -0.79
    ighty
    -0.78
    orses
    -0.73
    cho
    -0.72
    ued
    -0.72
    phabet
    -0.71
    POSITIVE LOGITS
     PHOTO
    1.74
     IMAGES
    1.03
     Photographer
    0.95
     VIDEOS
    0.93
     EDITION
    0.86
     Imaging
    0.86
     Gallery
    0.84
     Photograph
    0.83
     Thumbnails
    0.81
    OTOS
    0.80
    Activations Density 0.011%

    No Known Activations