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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
    11. 20157
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    Explanations

    phrases related to professional standards and regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to standards in various contexts

    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
    seat
    -0.73
    lez
    -0.71
    resent
    -0.71
     Sins
    -0.71
     Rove
    -0.70
    ston
    -0.69
    hs
    -0.69
    ãĥİ
    -0.67
    iversary
    -0.66
    thus
    -0.64
    POSITIVE LOGITS
     deviations
    1.08
     deviation
    0.99
     standards
    0.98
     compliant
    0.94
     bearer
    0.89
     governing
    0.75
    Reviewer
    0.74
     Enforcement
    0.73
     Compliance
    0.72
     Standards
    0.71
    Activations Density 0.022%

    No Known Activations