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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. 4-RES-JB
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    Explanations

    mentions of the sport of boxing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to boxing and heavyweight boxing contexts

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

    No Comments

    Negative Logits
    UTC
    -0.87
    dfx
    -0.85
    gency
    -0.78
    nee
    -0.75
    abet
    -0.74
    apsed
    -0.72
    CAP
    -0.72
     Frey
    -0.71
    vironment
    -0.70
    kson
    -0.70
    POSITIVE LOGITS
     boxing
    1.04
     Boxing
    0.96
     corrid
    0.89
    bowl
    0.87
     boxer
    0.81
    eers
    0.80
    fighters
    0.79
     bouts
    0.77
    boxing
    0.74
     clubs
    0.73
    Activations Density 0.012%

    No Known Activations