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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. 4-RES-JB
    11. 9266
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    Explanations

    file-related terms, focusing on recognizing image-related words

    oai_token-act-pair · gpt-3.5-turbo

    references to images in the context of data handling or programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cffff
    -0.97
    aptic
    -0.88
    hurst
    -0.83
    odcast
    -0.81
    nen
    -0.80
    idential
    -0.79
    rador
    -0.78
    ighter
    -0.78
    ategory
    -0.76
    steen
    -0.75
    POSITIVE LOGITS
     img
    0.85
     JPEG
    0.82
     galleries
    0.81
     image
    0.76
     gallery
    0.76
     caption
    0.73
     thumbnail
    0.71
    Url
    0.71
    gallery
    0.70
     images
    0.70
    Activations Density 0.021%

    No Known Activations