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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. 18104
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    Explanations

    words related to standards and regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to educational or professional standards

    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
    resent
    -0.78
    issance
    -0.78
    lez
    -0.69
    hs
    -0.67
     Sins
    -0.67
    ãĥİ
    -0.66
    stery
    -0.66
    active
    -0.66
    ads
    -0.65
    axy
    -0.64
    POSITIVE LOGITS
     deviations
    1.17
     deviation
    1.10
     bearer
    1.06
     standards
    0.90
     Compliance
    0.89
     promulg
    0.84
     governing
    0.82
     compliant
    0.82
     violations
    0.82
     Enforcement
    0.79
    Activations Density 0.038%

    No Known Activations