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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. 5-RES-JB
    6. 18701
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    INDEX
    Explanations

    numerical ratios or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical ratios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.87
    dream
    -0.83
    inelli
    -0.77
    uggage
    -0.72
    REAM
    -0.72
     largeDownload
    -0.70
    pocket
    -0.67
    âĸº
    -0.65
    ORE
    -0.65
    stra
    -0.63
    POSITIVE LOGITS
    xual
    1.10
     ratios
    0.96
     ratio
    0.95
     mismatch
    0.88
    yip
    0.80
     numer
    0.78
     sum
    0.76
    yll
    0.70
    ically
    0.69
     imbalance
    0.69
    Activations Density 0.016%

    No Known Activations