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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. 8-RES-JB
    11. 11188
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    INDEX
    Explanations

    attributes related to physical dimensions such as height and width

    oai_token-act-pair · gpt-3.5-turbo

    dimensions and specifications related to size and geometry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andum
    -0.83
    ogical
    -0.77
    ovie
    -0.76
    zin
    -0.72
    ogy
    -0.72
    ón
    -0.70
    atis
    -0.69
    hyde
    -0.68
    inances
    -0.68
    uca
    -0.67
    POSITIVE LOGITS
    ï¸
    0.90
     Width
    0.87
    pread
    0.84
     circumference
    0.84
    eous
    0.81
     width
    0.81
    hered
    0.80
    s
    0.79
    med
    0.77
    sworth
    0.77
    Activations Density 0.053%

    No Known Activations