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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. 1997
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words that refer to statistics or metrics related to performance

    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
    00007
    -0.74
    estyles
    -0.74
     dstg
    -0.63
    Introduced
    -0.62
    utenberg
    -0.59
     Canaver
    -0.58
    ynski
    -0.57
     Mechdragon
    -0.57
    bourg
    -0.56
     blame
    -0.55
    POSITIVE LOGITS
    pillar
    0.94
    heim
    0.76
    etimes
    0.73
    pill
    0.73
    asia
    0.73
    leigh
    0.73
    isure
    0.72
    zona
    0.70
    nikov
    0.70
    ccording
    0.69
    Activations Density 0.093%

    No Known Activations