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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
    11. 8808
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    Explanations

    wounds or injuries in different contexts, including medical, physical, and emotional situations

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries and wounds

    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
     AUT
    -0.67
     Emerson
    -0.67
    ourage
    -0.66
    ais
    -0.64
     Shepherd
    -0.63
    yss
    -0.62
     Balanced
    -0.59
    approved
    -0.59
     Lynd
    -0.59
    zsche
    -0.59
    POSITIVE LOGITS
     wounds
    1.30
     inflicted
    1.25
     scars
    1.10
     wound
    0.81
     heals
    0.81
    pots
    0.80
     incurred
    0.79
     inflicting
    0.77
    geoning
    0.77
     suffered
    0.76
    Activations Density 0.021%

    No Known Activations