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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. 10-RES-JB
    11. 7008
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    Explanations

    keywords related to multimedia content, specifically images and videos

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of multimedia content, particularly images and videos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    onda
    -0.78
    west
    -0.72
     Leilan
    -0.70
    legate
    -0.68
    ctuary
    -0.68
    ente
    -0.65
     Veteran
    -0.64
    arten
    -0.63
    iltr
    -0.63
    FML
    -0.63
    POSITIVE LOGITS
     photographs
    1.48
     videos
    1.43
     images
    1.36
     photos
    1.35
    pict
    1.34
     transcripts
    1.28
     drawings
    1.27
     GIF
    1.26
     pictures
    1.26
     diagrams
    1.24
    Activations Density 0.186%

    No Known Activations