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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. 2913
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    Explanations

    words related to physical injuries or conditions that result from physical harm

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries and related medical conditions

    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
    zees
    -0.80
    zee
    -0.80
    zsche
    -0.72
    arten
    -0.68
    ullivan
    -0.67
    ths
    -0.64
     ellipt
    -0.62
    ebus
    -0.62
    minist
    -0.61
    bour
    -0.61
    POSITIVE LOGITS
     inflicted
    0.98
     incurred
    0.87
     injury
    0.85
     injuries
    0.83
     inflic
    0.83
     suffered
    0.75
     prevention
    0.74
     proble
    0.74
    mma
    0.74
    ppo
    0.72
    Activations Density 0.019%

    No Known Activations