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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. 541
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    Explanations

    keywords related to images and image files

    oai_token-act-pair · gpt-3.5-turbo

    references to images and image-related 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
     vow
    -0.79
     convers
    -0.73
     barking
    -0.71
     jaws
    -0.71
     Guth
    -0.71
     beers
    -0.70
    stood
    -0.70
     dogs
    -0.70
    ALK
    -0.69
     beer
    -0.69
    POSITIVE LOGITS
    image
    1.18
    images
    1.06
    img
    1.02
    src
    0.94
    istration
    0.93
    vu
    0.92
    ruction
    0.91
    tenance
    0.89
    photos
    0.89
    ":"/
    0.88
    Activations Density 0.037%

    No Known Activations