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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 4872
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    Explanations

    information related to news agencies or specific events captured in images

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     haun
    -0.72
     bonding
    -0.69
     resur
    -0.66
     Bees
    -0.64
     privilege
    -0.63
     Deer
    -0.63
     blush
    -0.62
     recl
    -0.62
     admitting
    -0.62
     loose
    -0.60
    POSITIVE LOGITS
    Getty
    1.52
    File
    1.17
    Images
    1.03
    Reuters
    0.99
    GET
    0.97
    AFP
    0.97
    Image
    0.88
     IMAGES
    0.87
    uers
    0.86
    Files
    0.85
    Activations Density 0.019%

    No Known Activations