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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. 9039
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    Explanations

    entities related to legal or moral judgments

    oai_token-act-pair · gpt-3.5-turbo

    references to vulnerable populations and their treatment in society

    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
    cer
    -0.69
    SPONSORED
    -0.68
    ģĸ
    -0.68
    ORY
    -0.67
     Nanto
    -0.63
    fecture
    -0.62
    CONCLUS
    -0.62
    ISION
    -0.60
    SourceFile
    -0.60
    nce
    -0.59
    POSITIVE LOGITS
     who
    0.98
    hips
    0.96
    '
    0.88
     individually
    0.87
    hip
    0.85
     accountable
    0.84
     asleep
    0.82
     inappropriately
    0.82
     whose
    0.81
     whom
    0.81
    Activations Density 0.361%

    No Known Activations