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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. 17154
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    Explanations

    individuals with the job title of "editor"

    oai_token-act-pair · gpt-3.5-turbo

    references to editorial roles or positions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    pered
    -0.85
    bones
    -0.79
    achi
    -0.74
    rises
    -0.72
    bley
    -0.72
    pering
    -0.71
    STEM
    -0.68
    negie
    -0.68
    ramid
    -0.64
    ptoms
    -0.64
    POSITIVE LOGITS
    ials
    1.08
    ially
    0.99
    editor
    0.95
     editor
    0.86
     drawer
    0.75
    furt
    0.73
     laureate
    0.72
     Editors
    0.70
    iola
    0.69
    ienne
    0.69
    Activations Density 0.013%

    No Known Activations