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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. 4-RES-JB
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    Explanations

    dates or time-related information

    oai_token-act-pair · gpt-3.5-turbo

    phrases specifically mentioning photographs or images being taken

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

    No Comments

    Negative Logits
    lishes
    -0.78
    brace
    -0.72
     loosen
    -0.72
    ccoli
    -0.69
    gaard
    -0.68
    emonic
    -0.68
     subsid
    -0.68
     mail
    -0.67
    regulated
    -0.67
    dict
    -0.66
    POSITIVE LOGITS
     Photographer
    0.93
     JPEG
    0.89
     Thumbnails
    0.88
     photograp
    0.88
     Aerial
    0.87
     photographers
    0.87
     Mehran
    0.86
     VIDEOS
    0.85
     photographs
    0.85
    phot
    0.84
    Activations Density 0.076%

    No Known Activations