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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. 5-RES-JB
    6. 19953
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    INDEX
    Explanations

    references to pixels or pixel-related details

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pixel density and pixel art

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jri
    -0.84
    shore
    -0.80
    urst
    -0.80
    ILY
    -0.74
    etheus
    -0.73
    IFE
    -0.70
    kson
    -0.70
    prise
    -0.69
    ugu
    -0.69
    UNE
    -0.69
    POSITIVE LOGITS
    ated
    0.82
    agraph
    0.82
     shader
    0.82
    Pixel
    0.80
    ixels
    0.78
     Noct
    0.75
    ters
    0.74
     pixels
    0.74
     Puzzles
    0.73
     Interstellar
    0.70
    Activations Density 0.020%

    No Known Activations