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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. 2-RES-JB
    11. 7594
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    INDEX
    Explanations

    words related to things being tightly bound or controlled

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to tightness or density

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.73
     Glory
    -0.68
    ista
    -0.68
     Dems
    -0.67
     Dino
    -0.67
     Million
    -0.67
     League
    -0.66
     Names
    -0.66
    inez
    -0.65
    nis
    -0.65
    POSITIVE LOGITS
     tightly
    1.03
    packed
    0.94
     interconnected
    0.83
     packed
    0.80
     woven
    0.80
     knit
    0.79
     wrapped
    0.78
     tiss
    0.78
     adherent
    0.78
    creen
    0.78
    Activations Density 0.007%

    No Known Activations