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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
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    Explanations

    references to the sports team "Warriors"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Warriors basketball team

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    sole
    -0.77
    ologue
    -0.73
    alties
    -0.73
    orate
    -0.70
    mble
    -0.70
    odynam
    -0.69
    angible
    -0.69
    hetically
    -0.67
    errors
    -0.67
    judicial
    -0.67
    POSITIVE LOGITS
    riors
    1.08
    mania
    0.85
     Warriors
    0.83
     Oro
    0.76
     Bros
    0.74
     Haram
    0.73
    lings
    0.73
     radios
    0.71
    ¯¯¯¯¯¯¯¯
    0.69
     Outbreak
    0.69
    Activations Density 0.007%

    No Known Activations