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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. 2-RES-JB
    11. 8292
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    Explanations

    words related to competition or being considered for a specific position or title

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imar
    -0.83
    arching
    -0.73
    engineering
    -0.69
    Ku
    -0.69
     Spa
    -0.66
    romy
    -0.66
     Gazette
    -0.66
    mut
    -0.65
    uras
    -0.63
    ported
    -0.63
    POSITIVE LOGITS
     contender
    1.42
     contenders
    1.32
     frontrunner
    1.06
     competitor
    1.01
     contestant
    0.98
     challengers
    0.92
     finalists
    0.88
     challenger
    0.88
     competitors
    0.86
     contestants
    0.86
    Activations Density 0.012%

    No Known Activations