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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. 9-RES-JB
    11. 20247
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    Explanations

    phrases related to risks and challenges, including medical conditions and broader societal issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to challenges and opportunities

    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
    psc
    -0.84
    thouse
    -0.83
    Football
    -0.82
    edia
    -0.80
    LET
    -0.79
    ggy
    -0.78
    gypt
    -0.76
    ĸļ
    -0.75
    netflix
    -0.75
    miah
    -0.75
    POSITIVE LOGITS
     vulnerabilities
    1.54
     weaknesses
    1.51
     setbacks
    1.47
     contradictions
    1.46
     inconsistencies
    1.45
     uncertainties
    1.44
     shortcomings
    1.43
     obstacles
    1.41
     difficulties
    1.39
     frustrations
    1.39
    Activations Density 0.417%

    No Known Activations