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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. 9-RES-JB
    11. 23095
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    Explanations

    food-related words, specifically related to dining and meals

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MU
    -0.79
    utan
    -0.74
    operation
    -0.73
    iton
    -0.70
    emphasis
    -0.69
    cade
    -0.68
    ADVERTISEMENT
    -0.68
    atcher
    -0.68
    fortunately
    -0.68
    imbabwe
    -0.68
    POSITIVE LOGITS
     assorted
    1.07
     other
    1.00
     rooft
    0.98
     greens
    0.81
     automobiles
    0.81
     scraps
    0.79
     unic
    0.78
     powd
    0.77
     otherwise
    0.77
     sund
    0.77
    Activations Density 0.292%

    No Known Activations