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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. 7-RES-JB
    11. 18931
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    Explanations

    words related to injuries or physical wounds

    oai_token-act-pair · gpt-3.5-turbo

    references to wounds and healing processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.87
    essions
    -0.74
    ĨĴ
    -0.70
    ansk
    -0.69
    poons
    -0.67
    alty
    -0.65
    */(
    -0.65
    initely
    -0.64
     deviations
    -0.64
    icably
    -0.64
    POSITIVE LOGITS
     wounds
    1.06
     inflicted
    0.89
     wound
    0.88
    eful
    0.82
    burn
    0.79
    bow
    0.79
     healing
    0.76
    itial
    0.75
    robe
    0.75
    gun
    0.75
    Activations Density 0.028%

    No Known Activations