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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. 0-RES-JB
    11. 1931
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    Explanations

    words related to athletes or competition

    oai_token-act-pair · gpt-3.5-turbo

    references to "runner" or "runners."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idential
    -0.77
     Snape
    -0.70
    aff
    -0.66
    kok
    -0.66
     Kern
    -0.65
     Lavrov
    -0.65
    )=(
    -0.65
    auld
    -0.64
    idently
    -0.64
    afort
    -0.64
    POSITIVE LOGITS
     runner
    3.93
     runners
    3.79
     Runner
    2.88
    Runner
    2.58
    runners
    2.33
    runner
    2.29
    running
    1.47
    Run
    1.46
     running
    1.31
     RUN
    1.27
    Activations Density 0.019%

    No Known Activations