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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 8539
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    INDEX
    Explanations

    mathematical expressions and technical details

    oai_token-act-pair · gpt-3.5-turbo

    negative or low numerical values, particularly in mathematical or statistical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÂŃ
    -0.72
    bee
    -0.63
     painstaking
    -0.59
     Elder
    -0.59
    authent
    -0.59
    advertisement
    -0.57
     authent
    -0.57
     DNA
    -0.56
    Bee
    -0.56
    blogs
    -0.55
    POSITIVE LOGITS
     (-
    3.73
     (+
    2.40
     (âĪĴ
    2.27
    (-
    1.84
     [-
    1.70
     (~
    1.54
     (/
    1.52
     (_
    1.44
     (<
    1.43
     (=
    1.41
    Activations Density 0.010%

    No Known Activations