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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
    11. 21163
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    Explanations

    mentions of physical injuries or wounds

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries or physical wounds

    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
    yss
    -0.73
    ais
    -0.68
     Emerson
    -0.66
    phot
    -0.62
    sky
    -0.60
    Sche
    -0.60
    pmwiki
    -0.60
     Lynd
    -0.59
    ffic
    -0.59
    minist
    -0.59
    POSITIVE LOGITS
     wounds
    1.40
     scars
    1.15
     inflicted
    1.09
     stains
    0.91
     Shards
    0.85
    terness
    0.83
     wound
    0.80
     heals
    0.79
     lesions
    0.77
    manship
    0.75
    Activations Density 0.018%

    No Known Activations