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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 19730
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    INDEX
    Explanations

    mentions of image processing actions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to images and image-related data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.90
    nen
    -0.87
    steen
    -0.80
    unts
    -0.80
    inav
    -0.77
    merce
    -0.75
    aptic
    -0.75
    odcast
    -0.74
    secut
    -0.74
    rador
    -0.73
    POSITIVE LOGITS
     JPEG
    0.81
     img
    0.79
     galleries
    0.76
     gallery
    0.71
    Url
    0.71
     Illust
    0.68
    ocard
    0.68
     image
    0.67
     illustration
    0.67
     blob
    0.66
    Activations Density 0.030%

    No Known Activations