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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
    11. 11529
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    Explanations

    phrases related to standards and regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of standards

    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
    vous
    -0.97
    gren
    -0.71
    pez
    -0.69
    ulhu
    -0.68
    oot
    -0.67
     Activate
    -0.65
    affected
    -0.64
    achus
    -0.64
    oil
    -0.63
    alis
    -0.63
    POSITIVE LOGITS
     standards
    3.71
     Standards
    2.68
     standard
    1.85
     norms
    1.69
     guidelines
    1.67
     specifications
    1.61
     regulations
    1.53
     expectations
    1.52
     requirements
    1.49
     protocols
    1.48
    Activations Density 0.023%

    No Known Activations