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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. 8-RES-JB
    11. 14991
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥ´ãĤ¡
    -0.76
    20439
    -0.66
    ãģ®éŃĶ
    -0.66
    "]=>
    -0.65
    á½
    -0.63
    ×ŀ
    -0.62
    cffffcc
    -0.61
    ×IJ
    -0.61
    prototype
    -0.61
    ãĥij
    -0.60
    POSITIVE LOGITS
    ↵
    1.02
     */
    0.96
    ↵↵
    0.94
     (%)
    0.94
    .;
    0.93
     (+
    0.92
     respectively
    0.92
     Includes
    0.92
    ↵Âł
    0.89
    ;
    0.88
    Activations Density 0.847%

    No Known Activations