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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. 0-RES-JB
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    Explanations

    words related to neglect and negligence

    oai_token-act-pair · gpt-3.5-turbo

    references to neglect and negligence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iers
    -0.76
    agon
    -0.72
    bean
    -0.70
    orters
    -0.66
     Jets
    -0.62
    Token
    -0.62
    Orig
    -0.61
    ickers
    -0.60
    cap
    -0.59
    Fu
    -0.59
    POSITIVE LOGITS
     neglect
    3.98
     neglected
    2.49
     negligence
    1.82
     negligent
    1.63
     abandonment
    1.50
     forgetting
    1.50
     overlook
    1.49
     ignoring
    1.47
     indifference
    1.42
     incompetence
    1.41
    Activations Density 0.020%

    No Known Activations