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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. 3-RES-JB
    11. 9425
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    Explanations

    movie directors by their names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of directors and their roles in films

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MpServer
    -0.82
    tnc
    -0.72
     Labrador
    -0.68
     wedge
    -0.66
    td
    -0.64
    ciating
    -0.64
    inters
    -0.63
    inders
    -0.63
    tera
    -0.62
    merga
    -0.62
    POSITIVE LOGITS
     Animation
    0.87
    director
    0.86
    ography
    0.83
    writer
    0.81
    itatively
    0.81
     composer
    0.80
     producer
    0.80
     Studios
    0.79
    ographer
    0.78
    urally
    0.78
    Activations Density 0.034%

    No Known Activations