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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. 8-RES-JB
    11. 6469
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    Explanations

    phrases related to media technology such as video, audio, movies, television, and digital content

    oai_token-act-pair · gpt-3.5-turbo

    references to media, particularly movies and television shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flation
    -0.81
     Aden
    -0.71
    west
    -0.70
    é¾įå¥ij士
    -0.67
    etsk
    -0.66
    tein
    -0.65
    radius
    -0.63
    forth
    -0.62
    placed
    -0.62
    redo
    -0.62
    POSITIVE LOGITS
     television
    0.97
     tv
    0.91
     TV
    0.89
     DVDs
    0.88
     entertainment
    0.85
     Videos
    0.82
     movies
    0.81
    ographs
    0.81
     telev
    0.81
     Movies
    0.80
    Activations Density 0.327%

    No Known Activations