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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

    terms related to legal implications of negligence, including words related to manslaughter and negligence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal liability and culpability

    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
    endar
    -0.83
    oras
    -0.75
    population
    -0.74
    orph
    -0.72
    quart
    -0.71
    ethe
    -0.71
    mable
    -0.70
    isse
    -0.70
    pole
    -0.68
    rose
    -0.67
    POSITIVE LOGITS
     manslaughter
    1.01
     negligence
    0.95
     negligent
    0.91
    urers
    0.76
     afore
    0.75
     malice
    0.75
    utenant
    0.73
     excuse
    0.69
    raud
    0.68
     intentional
    0.66
    Activations Density 0.021%

    No Known Activations