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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. 3-RES-JB
    11. 6974
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    Explanations

    Technical specifications such as image resolutions expressed in terms of pixel dimensions

    oai_token-act-pair · gpt-3.5-turbo

    sequences related to image resolutions

    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
     stru
    -0.80
    sburgh
    -0.75
    utical
    -0.71
    ÙIJ
    -0.70
    awaru
    -0.70
    ãĥĦ
    -0.69
    hovah
    -0.68
    ogy
    -0.68
    DERR
    -0.67
     veter
    -0.67
    POSITIVE LOGITS
    avier
    0.78
    00200000
    0.75
    nm
    0.74
    amples
    0.74
    posed
    0.74
    cb
    0.73
    pc
    0.72
    peria
    0.72
    large
    0.71
    Ultra
    0.70
    Activations Density 0.021%

    No Known Activations