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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. 1-RES-JB
    11. 7217
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    Explanations

    references to baked goods containing dough, primarily focusing on the ingredient itself rather than the finished product

    oai_token-act-pair · gpt-3.5-turbo

    references to dough and pastry in the context of cooking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rousse
    -0.76
    nesota
    -0.68
     Hearing
    -0.68
     citation
    -0.66
     Roof
    -0.64
     CSI
    -0.64
     Whitney
    -0.64
     Cognitive
    -0.63
     Pres
    -0.63
     Austral
    -0.63
    POSITIVE LOGITS
    nuts
    1.59
    nut
    1.59
     dough
    1.23
    boys
    1.09
     Dough
    1.09
    awan
    1.04
    wallet
    0.97
    atile
    0.92
    sylv
    0.90
    worms
    0.89
    Activations Density 0.002%

    No Known Activations