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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. 11-RES-JB
    11. 2604
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    Explanations

    words related to film production and industry

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to film production processes and roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibaba
    -0.80
    olate
    -0.77
    imb
    -0.73
    yip
    -0.70
    incinn
    -0.69
    Domain
    -0.69
    gans
    -0.67
    imo
    -0.67
    iba
    -0.66
    imaru
    -0.66
    POSITIVE LOGITS
     screenplay
    1.06
     studio
    0.99
     credits
    0.92
     crew
    0.92
    writer
    0.92
     audition
    0.90
     script
    0.90
     Studios
    0.88
    writers
    0.88
     studios
    0.88
    Activations Density 0.181%

    No Known Activations