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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. 4955
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    INDEX
    Explanations

    comparisons involving the word "much."

    oai_token-act-pair · gpt-3.5-turbo

    quantifiers indicating significance or intensity

    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
    querade
    -0.78
    stice
    -0.73
    ictions
    -0.73
    poke
    -0.72
    acia
    -0.70
    pta
    -0.69
    ortium
    -0.66
    apses
    -0.63
    yson
    -0.63
    icio
    -0.63
    POSITIVE LOGITS
     easier
    1.37
     cheaper
    1.34
     nicer
    1.29
     worse
    1.28
     harder
    1.26
     simpler
    1.26
     smarter
    1.25
     quieter
    1.21
     safer
    1.19
     smoother
    1.18
    Activations Density 0.092%

    No Known Activations