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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. 7-RES-JB
    11. 400
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    INDEX
    Explanations

    dates and numerical information

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to dates, percentages, and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.65
    Ô
    -0.61
    "]=>
    -0.57
    pers
    -0.54
     TF
    -0.53
     à¨
    -0.53
     UID
    -0.53
     KR
    -0.53
    ËĪ
    -0.52
     Ven
    -0.52
    POSITIVE LOGITS
     apiece
    1.03
     respectively
    0.82
    ;
    0.79
    ;}
    0.72
    ngth
    0.71
     etc
    0.71
    .''.
    0.70
     Lastly
    0.69
    .).
    0.68
    .;
    0.67
    Activations Density 0.337%

    No Known Activations