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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. 10-RES-JB
    11. 8283
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    Explanations

    references to quantities or comparisons involving more of something

    oai_token-act-pair · gpt-3.5-turbo

    references to the prevalence and impact of guns in society

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     most
    -0.69
     longest
    -0.62
     Abdel
    -0.61
     entirety
    -0.61
    best
    -0.61
     best
    -0.60
    adem
    -0.59
     nostalg
    -0.59
     Lazarus
    -0.59
     McDonnell
    -0.57
    POSITIVE LOGITS
     than
    1.83
    than
    1.50
     Than
    1.37
    efficient
    0.79
    nces
    0.77
    worldly
    0.70
    catentry
    0.70
    flex
    0.70
    rah
    0.67
     opportunities
    0.66
    Activations Density 0.341%

    No Known Activations