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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15827
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    Explanations

    mentions of the publication "The New Yorker"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "The New Yorker" magazine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scl
    -0.80
    orius
    -0.79
    axis
    -0.74
    unte
    -0.73
    ground
    -0.73
    eden
    -0.66
    leading
    -0.66
    otted
    -0.66
    ete
    -0.65
    atility
    -0.65
    POSITIVE LOGITS
     Mellon
    0.84
     Scotia
    0.78
    ocl
    0.73
     Institution
    0.72
    acht
    0.72
    ously
    0.71
     Yorker
    0.69
     Irving
    0.68
     Diplom
    0.68
     Sever
    0.68
    Activations Density 0.030%

    No Known Activations