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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. 11-RES-JB
    11. 1078
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    Explanations

    nutritional information such as calories, protein, fiber, and vitamins

    oai_token-act-pair · gpt-3.5-turbo

    nutritional and dietary information related to food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.62
    DAQ
    -0.61
    jri
    -0.54
    ady
    -0.53
    uthor
    -0.52
    ĸ
    -0.52
    ayn
    -0.52
     prior
    -0.50
    esson
    -0.49
    lier
    -0.48
    POSITIVE LOGITS
    etc
    0.92
     Finally
    0.78
     etc
    0.76
     Lastly
    0.72
    âĢ¦)
    0.68
    whatever
    0.67
     };
    0.66
     TOTAL
    0.64
     finally
    0.63
    ...)
    0.63
    Activations Density 0.337%

    No Known Activations