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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. 7-RES-JB
    11. 3772
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    Explanations

    words related to skills and expertise

    oai_token-act-pair · gpt-3.5-turbo

    references to skills and expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    romeda
    -0.81
     Manz
    -0.72
     Reloaded
    -0.68
     Corinthians
    -0.66
    riel
    -0.65
    orus
    -0.64
     Franz
    -0.64
     Wilhelm
    -0.63
    clipse
    -0.63
     Amen
    -0.63
    POSITIVE LOGITS
    chery
    0.98
    ful
    0.98
    fully
    0.97
    learn
    0.94
    anooga
    0.91
    poke
    0.86
     training
    0.84
     proficiency
    0.80
     skills
    0.80
    smanship
    0.79
    Activations Density 0.047%

    No Known Activations