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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. 6916
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    INDEX
    Explanations

    specific names, places, and concepts related to politics, technology, health, and government

    oai_token-act-pair · gpt-3.5-turbo

    references to political figures and significant societal issues

    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
     caveats
    -0.51
     probabilities
    -0.50
     deviations
    -0.50
     lat
    -0.47
     cess
    -0.47
     wont
    -0.46
     correlations
    -0.46
     deduction
    -0.46
     drawbacks
    -0.46
     datas
    -0.46
    POSITIVE LOGITS
    $.
    0.93
    .''.
    0.91
    .''
    0.86
    *.
    0.86
    .
    0.84
    .�
    0.84
    .[
    0.83
    .(
    0.83
    .</
    0.82
    ().
    0.81
    Activations Density 1.080%

    No Known Activations