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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. 16576
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    INDEX
    Explanations

    links or correlations between different variables or factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating correlations or links between different subjects or phenomena

    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
    quished
    -1.07
    \\\\\\\\
    -0.96
    OGR
    -0.87
    ////////////////
    -0.84
    entimes
    -0.84
    scrib
    -0.81
    renheit
    -0.80
    }}}
    -0.79
    bye
    -0.78
    iken
    -0.78
    POSITIVE LOGITS
     criminality
    0.87
     ethnicity
    0.77
     these
    0.71
     sexes
    0.69
     relig
    0.68
     obesity
    0.68
     geography
    0.68
     physical
    0.68
     wanting
    0.67
     incomes
    0.66
    Activations Density 0.042%

    No Known Activations