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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. 1235
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    Explanations

    technical software-related updates and changes within a system

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing current updates or changes

    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
    phen
    -0.78
    ENA
    -0.78
    rawdownloadcloneembedreportprint
    -0.78
    cule
    -0.75
     inexper
    -0.70
    idav
    -0.70
    é¾
    -0.69
    phony
    -0.67
    eur
    -0.66
    ão
    -0.66
    POSITIVE LOGITS
     correctly
    1.22
     properly
    1.08
     INCLUD
    0.88
     accurately
    0.86
     reliably
    0.85
     automatically
    0.85
     ALWAYS
    0.85
     dynamically
    0.83
     behave
    0.82
     Enabled
    0.82
    Activations Density 0.077%

    No Known Activations