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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. 2069
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    Explanations

    comparisons between different entities or conditions

    oai_token-act-pair · gpt-3.5-turbo

    the word "those" and variations related to comparisons or analogies

    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
     Karn
    -0.64
    ENSE
    -0.62
     Mori
    -0.61
    LD
    -0.58
     EMS
    -0.57
     Sammy
    -0.56
     Universe
    -0.56
     Syd
    -0.55
     Stadium
    -0.55
    Luck
    -0.55
    POSITIVE LOGITS
    hots
    0.78
    notations
    0.76
    20439
    0.75
     prevailing
    0.74
     sket
    0.73
     pertaining
    0.71
     belonging
    0.68
     imposed
    0.67
    acons
    0.65
     indexed
    0.65
    Activations Density 0.071%

    No Known Activations