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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
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    Explanations

    references to running marathons

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "marathon."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    tics
    -0.76
    under
    -0.70
    metics
    -0.68
    tical
    -0.68
    orum
    -0.67
     Debor
    -0.66
    alties
    -0.63
    olia
    -0.62
    raved
    -0.61
    inel
    -0.61
    POSITIVE LOGITS
     runner
    1.10
     marathon
    1.05
     Runner
    0.96
    athon
    0.94
     runners
    0.87
     Marathon
    0.85
     Polo
    0.74
     bombing
    0.74
    halla
    0.73
    runner
    0.73
    Activations Density 0.009%

    No Known Activations