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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

    mentions of roles and responsibilities in film production, such as executive producing, directing, and writing

    oai_token-act-pair · gpt-3.5-turbo

    references to production and direction in film and television

    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
    osi
    -0.85
     WTO
    -0.69
    eros
    -0.64
    ghazi
    -0.63
    asi
    -0.63
    imir
    -0.62
     tam
    -0.62
    gat
    -0.62
     Carrier
    -0.62
    mite
    -0.61
    POSITIVE LOGITS
    cember
    0.82
    wright
    0.81
    writer
    0.80
    itled
    0.80
     exec
    0.80
     studio
    0.79
    AFTA
    0.77
     screenplay
    0.76
    writers
    0.76
    RECT
    0.76
    Activations Density 0.115%

    No Known Activations