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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. 9-RES-JB
    11. 16644
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    Explanations

    content related to multimedia files and their distribution on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of visual media, specifically photos and videos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Leilan
    -0.75
     Parenthood
    -0.74
    west
    -0.71
    undai
    -0.71
    onda
    -0.70
    legate
    -0.69
    FML
    -0.69
    ctuary
    -0.69
     Columb
    -0.66
    obia
    -0.65
    POSITIVE LOGITS
     photographs
    1.25
     GIF
    1.22
     videos
    1.19
     images
    1.12
     photos
    1.12
     transcripts
    1.11
     audio
    1.09
    pict
    1.08
     drawings
    1.08
     pictures
    1.08
    Activations Density 0.244%

    No Known Activations