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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14364
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    Explanations

    violations of rules, laws, standards, or rights

    oai_token-act-pair · gpt-3.5-turbo

    instances of legal violations or breaches of rights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rowth
    -0.72
    enhagen
    -0.69
    naissance
    -0.67
    hin
    -0.66
    rising
    -0.65
    ween
    -0.63
    uilding
    -0.63
    rogens
    -0.63
    iris
    -0.63
    aughed
    -0.62
    POSITIVE LOGITS
     norms
    1.20
     laws
    1.05
     confidentiality
    1.03
     oath
    1.01
     prohibitions
    1.00
     obligations
    0.98
     statutes
    0.98
     principles
    0.98
    limits
    0.96
     rules
    0.95
    Activations Density 0.224%

    No Known Activations