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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. 11-RES-JB
    11. 23326
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    Explanations

    words related to the intensity or concentration of a particular attribute or condition

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to various social and environmental issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flawless
    -0.77
     priceless
    -0.69
    Amazing
    -0.68
    perfect
    -0.65
     slideshow
    -0.65
     marvelous
    -0.64
     Nope
    -0.64
     irresistible
    -0.63
    Complete
    -0.63
     Wonderful
    -0.63
    POSITIVE LOGITS
     among
    0.99
     amongst
    0.92
    outheast
    0.86
     domestically
    0.85
     targeting
    0.77
     overseas
    0.75
    zb
    0.75
     clustered
    0.75
    among
    0.75
     geographically
    0.74
    Activations Density 0.268%

    No Known Activations