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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. 7-RES-JB
    11. 21726
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    Explanations

    references to photo captions

    oai_token-act-pair · gpt-3.5-turbo

    the word "more" used in various contexts and frequencies throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.92
    reditary
    -0.73
    atan
    -0.72
    keeping
    -0.72
    stood
    -0.72
    ader
    -0.71
    liest
    -0.70
    pex
    -0.70
    itudes
    -0.69
    ãĥ¼ãĥĨãĤ£
    -0.68
    POSITIVE LOGITS
     than
    1.03
     interesting
    0.82
     VIDEOS
    0.80
     attractive
    0.79
     importantly
    0.75
     ado
    0.73
    thumbnails
    0.72
    HUD
    0.72
     expensive
    0.71
     complicated
    0.71
    Activations Density 0.031%

    No Known Activations